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Let's imagine Kim and Roger Ver sell their e cash BTC BSV etc for BCH
Let's say they got 50 billions dollars
Very curious to see how BCH would move...🤔🤔 | r/bitcoincash | post | r/Bitcoincash | 2025-03-21 | Z0FBQUFBQm9FZ1VKV0FNaFYxUGNieVNfb2c4OGJFeWpoTFNING1CTHNjQU03MnduZDI2MVAzSzhsQXNXR1hjbENCeDZRdERnS2c4X19lTnFBM2dCa2JMeW5ic20xVlozVHc9PQ== | Z0FBQUFBQm9FZ1VKcURxZ1VLYXhzNkVLLWFRZmFHOWZiUXJKUmYzbzdSajV4T016Q2NFUVE4Y3N4cFhiVDY5VW5tRGFTOGVxcDduVVhGbURNUENUbDJCTjN0Uk5SR2VUZnI1bTI2RkN6MjNwOWFsMFRQS01Vb1BMSFB3blZiclBGa0FNNTdoYS1DUWJwRE44M2NPUG1FNXVEaUJ3a3FxSW5nPT0= |
Tickets can be bought here: https://bitcoincashgloballotto.com
Telegram Group: https://t.me/BitcoinCashGlobalLotto | r/bitcoincash | post | r/Bitcoincash | 2025-03-24 | Z0FBQUFBQm9FZ1VKNVkyTWxDckVVcnJhN0RhYklNSEFxNzljVW84QjhqaW9wUUNuZUlaVkNDWGVhbHYwcGRfR25icHVOOE16N1ZqUl8tQXVHczBGSTIzYTdUV0NoV2VlaUE9PQ== | Z0FBQUFBQm9FZ1VKV3JWRWdFOVNDYnA3TkJsU2VqQXdQMmpRaWVHRnlqUlBwcEF2bUxUU1RPUzJwdnUzX3NIUjYwOUthOElWV3FrZGplOVZNRDF4YUhqdXhKaEx2OEpGR3JqVFZEbFpHNGRKUkpDaGo2UEo1ZGtzalR4OXhoSmJVT1NkeFdUcjdMRllDVmhLa05iYVliR3h2Yi1FYm1fV1VKdzhfZndIemRELU5TQ0JrZHZEbDZhc2hOZU5FWDhOcE14WGo5dEdPUW01ZUtXaWZVRWl1WkQyOG1lM3BBekFDdz09 |
Centralized premined tokens can and will screw you: Crypto.com is facing criticism from the crypto community after reissuing to themselves 70 billion Cronos tokens burned in 2021: https://cointelegraph.com/news/crypto-com-cro-token-burn-controversy
More evidence that the top premined and centralized tokens you see on coinmarketcap, are in reality worthless scams.
Dont just assume that top tokens are successful or better than the rest, its all just part of their scams, where they manipulate their market caps up and then change the rules to screw over token holders.
Stick to decentralized proof of work coins like BCH to avoid these types of centralized entities screwing investors and users.
This is relevant to BCH, as new users dont understand and arent educated about what differentiates cryptos like BCH from other cryptos that are premined and centralized.
Edit: This isnt even mentioning the recent news where complex blockchains like ETH and tokens issued on it are susceptible to getting stolen by added permisssions added to transactions that arent detectable by ordinary users as just happened to the bybit exchange: https://www.cnbc.com/2025/02/21/hackers-steal-1point5-billion-from-exchange-bybit-biggest-crypto-heist.html
the TLDR: is that the actual amount of cryptos that work and are safe to own without getting stolen or being screwed over by devs in charge is actually very few. | r/bitcoincash | post | r/Bitcoincash | 2025-03-25 | Z0FBQUFBQm9FZ1VKNEdMX0ZlN2htNUtlWEQ1RDhJQTlqRzZIR2p2WU9RazhnbFFWaUtpcDRpYU4xQ0hUcFgwZXdiM19tYkNMa2d2amNCakJ6TGhIOWMzakhNVXZmcjJUdlE9PQ== | Z0FBQUFBQm9FZ1VKcWNRNnhxWVNwaUFDcE1WSkMzdWlVNUxkLS16UU5udXBHdGFQZWctSXk4V3VNaUotYkdJbzB5M2FKRzRfenRCLVhJamEyQ3NZb2pwNjJLVThLZlduejd4NS1FdWFzd19tQk1uS3NDSFJCSldsLTFWUHhvRE5mUmpXMks5UnR2ZDVVaDJrSXNPWkNkTzdNazg3eE9WSl9ENC1DM3JyeThVRUJpY1ZsMzdDOVhLY3BqczhBZnVoWHhHbU1yaEdsUWhzUzR5UEItTk5WRGxHTEhjbGJVMTFLUT09 |
A group of tobacconists in Italy is protesting against a local provider's new fee structure, which they claim significantly reduces their already slim profit margins. They argue that the increased fees make it unsustainable to continue accepting POS payments, especially for low-margin products like cigarettes and stamps. As a result, some have decided to stop using the service altogether. This situation highlights the challenges small retailers face when adopting digital payment systems with unfavorable fee models.
source: [https://www.lastampa.it/asti/2025/03/27/news/satispay\_tabaccai\_rivolta\_asti-15074212/](https://www.lastampa.it/asti/2025/03/27/news/satispay_tabaccai_rivolta_asti-15074212/) | r/bitcoincash | post | r/Bitcoincash | 2025-03-27 | Z0FBQUFBQm9FZ1VKSzA2YTJLWk9wOHBEWjNRN2c0d056VVBtc2JJYnBLZnJfRi15WGxoMnNJZjNqdGlTTWJhSnQwQlhaMVQ4OHl6YjBLWXVuQUp0UmpkaXBaRlpSd1V6enc9PQ== | Z0FBQUFBQm9FZ1VKTE13b1Y2eEJWQ2FBMTJKcTlUWDYwZnllZ2psX0M1RnhIYWU3czRwSURyNDljYmR0N0V2cHNaX041N3Qxam52NWhyNERMaVdGa2t0N1EyaWJvVHJZbDE3b0k4ZGQyMnZIZXBDbVo0OURzVXpCd25rNHlPUmZLLWcxQlcxYjJKVFFrUUJMZDZ2ck5BYXlpMzhJWEZadGZDcy1fWEhBVW9jOEx0X1RGZkk4MnNBVVI3NHZlZi1LblFVU0IxNXpheWVNcGEybFc3YzQzWGJUTGxQel8yZXhZQT09 |
Tickets can be purchased here: https://bitcoincashgloballotto.com
Grab yours now! | r/bitcoincash | post | r/Bitcoincash | 2025-03-30 | Z0FBQUFBQm9FZ1VKd2ZZNV8xRHpXOE1hd2hsNHlVUWdxU0NwejNVMVJUcG1sSi0tYXlfbjFwZDdRRFkzOWlueExabjdWUmJoZkplaUpiaDBWbC1pN1VJVXpFM2hxbThIcGc9PQ== | Z0FBQUFBQm9FZ1VKaHItUlRjTG9rLS1NX0E0RC1rTUVmV3FoMzVKQzlsZi1jeGRCUHl4ZzFDTFVoVnZWR1ZMcDJLZ19pVVIxSVhjZFhocE1JN3NpVk96RU9jc3lncU5BeGF6Q1N2N1g5Q0t4MXBONG5vOGMyQmpkUFZxbzNHWUFiNXp5WWlRdXVZTmE2eDlDem5JeFR2X3FlTjdMa2NMOG03MHJ6VWZpdDBuNW00VVhONm10d3pRMlplWENMTklLS2hLTnFlQnZZQi1xU0VHVENha200blpNNmpHQzVFOGR3QT09 |
Original youtube video was called "Germany's Invasion of France" but has already been deleted years ago. [https://www.youtube.com/watch?v=ParHJmq2aCs](https://www.youtube.com/watch?v=ParHJmq2aCs)
However i could retrive it from the Waybackmachine... :-) | r/bitcoincash | post | r/Bitcoincash | 2025-03-31 | Z0FBQUFBQm9FZ1VKcmxEZUJQcUE0WS14MkFRZHNfTEppTzdxSEswZHpOdDhtWlNxYzlsckxzTDRfa0dmNHZaZW9zNTc0ZVNMNGRZMmlXSVAtZkNzTFFlYlF1dTM3T05iWnc9PQ== | Z0FBQUFBQm9FZ1VKRUVSUHpsMDVRel93bXJqZmRRV3ViU196RHF6OHVYa2tsc2FrM1pjbmV5SWxOTFlWbkp4SDEzdTA2ZkV2dFJ4bW8ySndYUjB3TFlhUzRhMUlRQjdXRDFnVWlpeS1YVnZkdmZsTDRMSTdfU2cwWE1tZjliSFljTk1CQjBQbk81WXRENHA1TlpRWGRKdTZIU1R4Y1I3UUFWdWZpTnN6R2xnSlJsa2Q0S0l1cUNpS3ExZjcwTjQ5SVJINzdJeUlqa3V0TkxnbEFBNW5fWDlOdG9TUXd2NDdxQT09 |
We wanted to combine education + adoption among regular people with a way for people who want to earn BCH, to do so and it was key that we made it as easy to set up and as decentralised as possible.
Check out the video on how it works and how to get your referral link and give it a go!
https://bitcoincashgloballotto.com | r/bitcoincash | post | r/Bitcoincash | 2025-04-03 | Z0FBQUFBQm9FZ1VKUWd4X0NDc0ZBb3pQdUFxMHNSS2NueWI1a2JBNUF3RUZsMDFHbFBkMFYxSVJBWDQ1dEZWRml5Y0w4eWJfSlhzeE9WeVE0NGlnSHpfQ193SDFtSkF3UFE9PQ== | Z0FBQUFBQm9FZ1VKb2VwWkdjbnBYVjI5MUJZWjN1ODgxcTdTa0FhUS0zRXJ5NGpLVG10RnVGUkdtN1o1ZUFYWVVoUm9vejF4Rk9RYS1sNUJuQ2dQWG5xTjQxT3NiMHpjckdRZUYzTUVMam1SbDJ3aWpvTG1Ed1Y5RDQ2dzlKcWs5b1dnT09aSUt3dmR5aHZwR3FFQUJVZzJnTjdQY1BpUUZlMURGWDlKRUlEU3pxMVp2UjRNOU9IaFJXY2xQQkNlTUctamdJa2ZHaHU1Zl80NVdVeTJqSVJaVmIwX3BYVjZ0dz09 |
There were some sites we could use bch as payment like noise.cash onlycoins etc and now is all gone? | r/bitcoincash | post | r/Bitcoincash | 2025-04-05 | Z0FBQUFBQm9FZ1VKRzZVZmVpdV9sUHRKX1ZhcUdTN2EtMlZWejlnSHZpWlh1VEVmbGFtdG9hRUhpNEM0eXRVdDBaMGtVVnllU1RRaWxjSGpnalg4b0piRkxvWlZJTGZKbk9ISjl3MWtiSHpUcU02YUppdDFMY1U9 | Z0FBQUFBQm9FZ1VKOW95amxBRzB5LTZROWYxeDlzeEc4OVlrUHRlV2tXSEkxZTVHbmlhcHN3R1VEbktJMUd5YmVYejFwVjBwYUZrQkRRWk9BZEtQWVVka3huQ2dnM1NTdXZEYlpiQU1iNG9tZjVuUVRWdkwxUEdkNWRfd2FzZXJfVVFJa2Z0OVdqbTlweHpsdXFlMVYzVXdPbGUzTnB0TkZ6bE52Yjc2S3pERElYVm9wSG9nc3JZPQ== |
Listed in Paytaca Map: [https://map.paytaca.com](https://map.paytaca.com) | r/bitcoincash | post | r/Bitcoincash | 2025-04-05 | Z0FBQUFBQm9FZ1VKeWFKZDBYZmk1WnBIc3l6ZW5uTUhDT2JhZE5VSm50ZFBRS2NDYnV0RXYyM2VJd3JOUmNPMWczWUtad1N5ZENKOVR3M0xtTlFxWFpZUjR1Q2EyZmtna0E9PQ== | Z0FBQUFBQm9FZ1VKTG1YT0xWTm50SUlQZXZ6SHkzbDB3RjVNaW4xLVlMN2hvTGpqWFdZaFY1eGpjOGx2VG1HNWNJUm4yRjhsbm1mU0ZpZm43WndXb1ZzdFlBUFlPdFZFWmhBV0dPRTNlMnRqZktPOWJQVVlJVTZpZk11eVlUOG9JaVB1MzAtbjlJbTBUSXdDdEtDWV9tWjAzaWJEanJRMWdzdk82LVdvUkVPbWNUSVRXWWNfaXZ6a3NmOWFfRzNlSHZLbjZKSWVKRnZz |
I haven't read any official reason. There haven't even been filings for a BCH ETF yet. Considering that BCH is neck for neck with LTC in terms of market cap, you would think they would file.
I suspect it's because they haven't accumulated enough BCH to dump on the news when an eventual BCH ETF is opened. BCH is rarer than LTC because its chain is older, and many coins were lost after the fork. What other reasons might there be for not creating a BCH LTF? | r/bitcoincash | post | r/Bitcoincash | 2025-04-08 | Z0FBQUFBQm9FZ1VKMDNVQk0tVE9SU0NBX0dLMXFsR2loTENwU1NNVTNxQmhjMko2czZPeVNudUJmZnZMSnp0b19GU2N4bElrSjV3QWxHaThWRGV5bjcxNjRMVW5pOWZ1bWc9PQ== | Z0FBQUFBQm9FZ1VKUkkzQmtZRVhjQjJMeEdGRk16T1NDNFNSSy1ZTWR0NV9lRnl4OThrbEZaVFpBOE54QWVOMnFsR0JlNlVKQzV6Y1FMeUhoV3FyTS16TW9qWC1Cbmx1UVFuRVB1akZwTk1HcW02SEw1SUM5SmlGVWd3Z2RLdDV4M19kZU0xWVJma2dtSE42eUpwcjRIb0hZYVdwZVJqeDloQ2NxT21jNkhYRzlSTTFxYXBCbk9UWlB0Qmg4VFQxOXFMenpmR2JaVjgzR2VIWmNuSkRmRWhQR25ONnJCNTI2UT09 |
Selene Wallet v2025.04.11 is now available for Android and iOS - now with CashTokens!
Check us out at https://selene.cash.
We're very excited to share with you the best version of Selene Wallet to date!
Also including:
- Support for Coin Control 🪙
- Major performance improvements 🔥
- Word selector for wallet import ⌨️
- Minor UI improvements and bug fixes 🛠
We hope you enjoy this long-awaited update! Thank you for using Selene Wallet 💚
Original post from X: https://x.com/SeleneWallet/status/1909951065333604635 | r/bitcoincash | post | r/Bitcoincash | 2025-04-09 | Z0FBQUFBQm9FZ1VKSS0tUVZyb3h3ZnVzZnhLRUROdi1JZGNzeUxIYzgwaE1KMjZReEV1S2Z1eGpLR3I2TVdCQm15WDVJQ3NNVm55VmRTLTNtbGNPQ0xCdmg3ZmxTN2o5d0E9PQ== | Z0FBQUFBQm9FZ1VKNmJ2ejNxS213Q3prWGZOcVljOGxWMlV0cDJHVGpwMlp5VkNKZFJTdWtCNWZxZS1vLURyb2VPekpvdTNKOTlLSTZkdzBuR0VON3pPQzRSWmxnSld2dUliMzB3R0RpUHEzSE9zSnVGYlB0cFBBOXNCWXA1LWZFWnpyTjkwbUxPUHFjMWN2cEFEN0lmcGRuLW5td3BlbjNqZE1RRHcxYmVvaDZ6Q3ZMZG1zQmRCUXI3bnVuYWNJQ3VoN1FFaDlBeUlvVmt6b3BMS1RoM0loQ1FORllIcjFjUT09 |
I'm in the states and trying out different pools with a bitaxe gamma... looking to see if anybody has had any success doing something similar! | r/bitcoincash | post | r/Bitcoincash | 2025-04-10 | Z0FBQUFBQm9FZ1VKelg3TGhCMnZQaGRUdU9KZ1BEbVVEcWJ3bXI2YmsyUVVYNUFwVlRjTk0waFJ6aVVMMW1CZWZGQUdWZEg4c2IyYjJpQWNXRTI4VDFNTWUybUdFWkZhb1E9PQ== | Z0FBQUFBQm9FZ1VKUlBPRVB5WDJHQUJSU2RHTjBRbVZwTEpaa1E0RkdfNXZrcXczVVg0Y0lMTGc5RC1xelBGVWpPeDZkaV9lRW5KbXhaNVRfUFJLZFllNXl3djA4cU15UkJDVE5oa3RNX2FHMG5ybWZVZDRreDIwVF9rTUtackVFaUpGUF9tWWIyNktQMWRmV1o5OTFLOE8zOHV3a2U4QWNCTXk3T3VidnRUcUVmMFpSeVR5NzBWVTJLOHgtNmNpRWNYcGpuMFA5dDIyZEVzT3YtekhBVWVSWWJFaHljdXBJQT09 |
New to solo mining but want to check if I need to add the bitcoin cash prefix to my wallet address? I’d hate to hit and not get paid | r/bitcoincash | post | r/Bitcoincash | 2025-04-11 | Z0FBQUFBQm9FZ1VKZmk5OFBxVkw5b2ZJT2h2Q0c0T0RiQl9fTXlIWlRrSTM1X2ozRG9aa1l5Sm5pVEIxQUJpNUY5MlRnX0tzclotRWw1LTZDWDBsdmFrb3VWRllETmNwbGc9PQ== | Z0FBQUFBQm9FZ1VKUmJlYnR5bllteFlxTEloRFR5UHlwY3FlazBiTXFWaGtxZnh3cHlRT3M0T3dyT3o1d2p1WVhsYm83QjlEbEhMODJpbDJTS3hfb2pKaHdKdlhPaDFZMEswaXFJZVVQQ284MlViSnlKMVhXWW45NG1oYlhRNC11eUdJbzg4RU96RHROVGFXMkFGclFwbWFEQzdvb3c2RG9iVkFsY19lNVp3SlF6TWFKQ0tzZzFpZXhHbFZ3cVpaODByZVJWeHBXZTlP |
Any news...?
| r/bitcoincash | post | r/Bitcoincash | 2025-04-13 | Z0FBQUFBQm9FZ1VKWm9QOURpSFRTWEhJTHFHT1NMa1hwU2FFZHVudjh0dWNmczVycWlLV1A1Y25HSFozTnAyOTkwUTlHWEg2Y2xaXzYwZkh2WExYUG9yXzA3WWNOLWtINGc9PQ== | Z0FBQUFBQm9FZ1VKT2xPekJvM0gwZ3Zia0pKOTM1QVFQcnd3Vnc2RFlkMFZSakFSemJBNGRaZTMxMDFjbjRYSXpPLXF0MW1NanZWNXZKZlJDWVR0Z0Q1dWk0Y0c0SVJKSWJFXzJuUmRoRmoxeHhSdzB2WTJwX1NJOXJtSi1nb05iRzY0V2VER0hqaDVYVnI2Tm9Wa0sxRHZWNTM5cDFialZyclFuR0FpcG5pY1BEZlU2dkRYbUg5X0FRa2NYZ0I5MFZsWl9DNmVQRFFp |
Don’t say Calypso the dog didn’t call to try and warn you! | r/bitcoincash | post | r/Bitcoincash | 2025-04-13 | Z0FBQUFBQm9FZ1VKWVJCQ00xS2twSHZiYUdtVW1Lcmw4bENZZkRMZnJ4bjJnUHRyUUJCeXFjZzBaLW1GSlRFekZla09ubE1vOU02RVQwUWRYeXExNDBqYVpVVjRERlVDaGc9PQ== | Z0FBQUFBQm9FZ1VKS293OWEzVWo5STFqeFZjWFBGRk94U3ptNll6eThmM05mNkRLajJ5Tm9MYTdkQmFjNzZ4Z0YwQ19Ld3N4WDR5aGZvWTh0eFUxTEI0aUUxVWp5Q2sxQ1k4ZjV4bFpPNVA1ZDczNWpvMUxUa01uLXZ2Z3RQZlZQWlFNMU51QzlTN09Ud0dmNlZXbEdzd0tJV1BGMW5jSGxzVS14bFJENGhyQXhTeDBwTjFCSFhPdEVyTHNUa3hEdjBsNk9wLVhWb0QtbmFoU0t0RmlRVVNYaW0tSDBlXzh3Zz09 |
As Bitcoin Cash continues to lead the way in fast, low-cost transactions, the need for a more user-friendly and secure way to facilitate crypto payments is growing. Now, Bitcoin Cash users can now claim a personalized name to streamline transactions and easily manage their onchain presence in a more efficient and secure manner.
In collaboration with The Bitcoin Cash Foundation, Bitcoin Cash (BCH) — a leading P2P cryptocurrency that processes over $4 billion in transactions monthly and boasts a market cap of $5.34 billion — we’re launching .BCH domains. This new domain simplifies how users interact within the Bitcoin Cash ecosystem, making crypto transactions faster, easier, and more secure.
**Why Choose .BCH Domains?**
As Bitcoin Cash continues to grow in popularity, improving the user experience and simplifying crypto transactions is more important than ever. .BCH domains allow users to simplify their crypto payments, replace long, complex wallet addresses, and manage their digital presence across onchain platforms in an easy and efficient manner.
Whether you’re a crypto enthusiast, professional, or business, .BCH domains provide the perfect tool to simplify your crypto payments and enhance your overall experience within the Bitcoin Cash ecosystem.
**Why Claim a .BCH Domain?**
Here’s how a .BCH domain can benefit you:
1. **Name Your $BCH Wallet -** Bitcoin Cash payments, made simpler. With a .BCH domain, you can replace complicated wallet addresses with a human-readable name. This streamlines crypto payments, making them faster, more efficient, and easier to share across the Bitcoin Cash ecosystem.
1. **Build Your Reputation Onchain -** Your .BCH domain links directly to your [UD.me](http://UD.me) profile, allowing you to showcase verified activity, tokens, community badges, and collectibles onchain. This builds a trusted presence, making it easier to connect and engage with others in the Bitcoin Cash community.
2. **Connect with the Onchain Ecosystem -** Use your .BCH domain to securely log in to hundreds of onchain apps. No more passwords — just your trusted onchain identity, giving you seamless access to DeFi, games, and other decentralized platforms.
**More Ways to Use Your .BCH Domain**
Your .BCH domain unlocks even more powerful features:
* Engage in encrypted, private communication using Unstoppable Messaging and join badge-gated Group Chats with other .BCH holders.
* Build your own onchain website powered by IPFS, establishing a permanent, decentralized presence.
* Take full control over your onchain presence, ensuring a streamlined onchain experience like never before.
**Your Bitcoin Cash Identity Awaits**
With .BCH domains, Bitcoin Cash users can simplify crypto payments, enhance their digital presence, and securely interact with onchain platforms across the Bitcoin Cash ecosystem. Whether you’re sending $BCH payments, managing your onchain reputation, or engaging with others, .BCH domains put you in full control.
**Claim your .BCH domain today** and redefine your Bitcoin Cash experience! | r/bitcoincash | post | r/Bitcoincash | 2025-04-17 | Z0FBQUFBQm9FZ1VKUmhpMzBLM1VucjJiOUtKTU5zU2pHbEwwT25IcVU3ekxVQVlDV0E2dUZyY1hrdUxyeGVHejdJZm5MUkoxLWVoaHhwQk9ZazNvZGZJNGZZWExTdHlGUlE9PQ== | Z0FBQUFBQm9FZ1VKZ0NvNkVrakViLU40TnI1Q2dQTkt6WXFYRUxvUWZwbTRHeDhfdzdWbXJubklHSkN6VE4tVFZVSG10S1AzMmJjQ2ViR19raDlOX3RXUkpVckllSEctb1RvMHJlZnFRbUpweTlWRW9wUmFXUE5nSG5uTnduMF9wRUlwOW93am9YQTJ2UFFUQVpiWXRTbXVud0JxU1JDOEVLVDJwYUpnX3BLRTdrbWtmLXI2NXJSR1IwNjZjLUE0V2JqeWVUcFY0V25N |
Android termux (terminal) sha256d crypto miner SOLO MINER
https://github.com/KaneWalker505/TermDroidMiner/
THIS MINER DOES NOT send shares of lower difficulty it attempts to solve and mine the entire block ONLY
INFO
CPU sha256 Crypto miner for ARMV8 Android.
(Average Hashrate | 150khz/sec Hash Rate)
tested and working on the following mining node pool servers
solo.ckpool.org | zpool.ca
NOTE
This is a SOLO MINER
IT WILL NOT attempt to send shares of lower difficulty it will ignore share jobs and share accepts completely
THIS miner is coded to ONLY work as a SOLO MINER it was coded with mobile in mind, it saves on network data and bandwith by not mining shares but attempting to solve and mine the block only itself. This means it will use VERY little networking/internet data.
The Miner works like so:
After Server / Wallet input the miner will attempt to find a block hash that meets the difficulty target by adjusting the nonce value and repeatedly hashing the block header. Once a valid hash meets target requirment of network block. Result is sent to mining node server. When server accepts your block solving hash you earn full rewards of solving the block.
THIS MINER DOES NOT send shares of lower difficulty it attempts to solve and mine the entire block ONLY
Example Command
./TAM -h (List help command example)
./TAM ServerAddress Port Wallet Password
You can run without arguments aswell if you run the program without arguments, the default zpool server will be used on port 3333 the miner will ask for input of your wallet and password then after.
mining stratum difficulty
You wont need to worry about mining stratum difficulty
Can 100% ingore mining stratum difficulty when using this miner
Sense it attempts to ONLY solo mine the block hash itself
mining stratum difficulty is only used when mining shares of the block.
Sense this miner does not attempt to hash or mine shares this can be ignored
So stratum difficulty is just set by pools and reflects the kinds of hardware and software used and how many miners there are, and is low enough so that all miners with adequate hashpower can share in blocks found
It has nothing to do with the actual BLOCK hash difficulty of the crypto block itself when solo mining
**TERMUX INSTALL**
curl https://github.com/KaneWalker505/TermDroidMiner/releases/download/Release/tam_1.2_aarch64.deb
pkg install tam_1.2_aarch64.deb
OR
wget https://github.com/KaneWalker505/TermDroidMiner/releases/download/Release/tam_1.2_aarch64.deb
apt install tam_1.2_aarch64.deb
| r/bitcoincash | post | r/Bitcoincash | 2025-04-17 | Z0FBQUFBQm9FZ1VKWW9KLWpHNlVETVEtMHpOQ1hYRUh3djZ0Z3otM2lZZkdyX1N3Tjl0VEUtUHoxNHlTdURVNmdBVmNaNDFIT3N1UWR0aDBIWnIwb3hXWlVvR2Vaa1VJelE9PQ== | Z0FBQUFBQm9FZ1VKVlV1RkhPYjliQ204VnU5U2kxclpnMUt6dThWXzhhT0tnaE03SE5vVUx6R19rTTJoQjJxeVBIQ2JiM3RIbTRQZHdwUFdIbUdHN0RWQi1pZ2tQU2txcEJfOXg3c2hvcmhkSWROVGYtTy0tWURoNnF5YUZwb3ZwUzlKY0FjTVpDVXdla3FRVjlDaDRtSGdsa0lDTXBUWnJXcm4xYV9JeGhyZ182NFJOMGtlbGZvZ004NjZ6bW9waTlubG81aTh1RThEX1RPODJkaXprdkdvVW90YmU3ejM2Zz09 |
I am going to try to solo mine Bitcoin cash
Does anyone have any suggestions on a good mining pool? I did try retro Mike before, but I didn’t like the interface. Would like to know if anyone has some suggestions. Thanks | r/bitcoincash | post | r/Bitcoincash | 2025-04-18 | Z0FBQUFBQm9FZ1VKQWs1NnlscHoza3BZRFJqY05kNTQ4RUdVY1NnT205aGtQWDBMWWhzZ0xydVFuZUswSlZxUUtXc1BEc0wtQWlFLXJ5ZGpwSm91ai1vVTRhbDUzMWFDR1NMbWZxZkNXWGtRU3BDZWItUGNCcFU9 | Z0FBQUFBQm9FZ1VKQzdnYnZBek1BRmVCQmRxQW5oTmVXdkpPWVlrNkhhaF84VDJoc3FwTUNwZ0pHTXkxQW1TS1dYMGNoRDB1TU93aEQwQk1IeDltY0FNX1piTTdEbEtPY0tacEFqMFZsSjlXcWNPLWtVT1B2U0Qzd0RBWk1RdmFqVE0zVnNZS1lZTjl0ZmRtQ3IwUWxVZmlaVU9oUWJoM0V3ZmRMX3h5N09mX2hMNWg5NVpDSlhVPQ== |
Recent trends in the cryptocurrency market reveal intriguing shifts in Bitcoin Cash (BCH) activity. Over the past two years, data suggests a growing inclination among users on Western exchanges like Coinbase to withdraw their BCH holdings, likely indicating a move towards self-custody. This observation aligns with a significant surge in hardware wallet purchases across various brands, further supporting the notion of users prioritizing direct control over their digital assets. Bitcoin Cash, known for its fast and low-cost transactions, facilitates this self-custody trend seamlessly.
Concurrently, a contrasting pattern has emerged on platforms such as Binance. Unlike previous behavior where traders primarily used Bitcoin (BTC) or Tether (USDT) as collateral for BCH leveraged futures, substantial BCH deposits, reaching into the hundreds of thousands, have been observed. This novel trend suggests that large-scale leverage traders, often referred to as "whales," are now utilizing BCH itself to back their positions.
This shift could potentially be linked to the recent endeavors by major exchanges like OKX and Binance to expand their services into the United States. As these platforms navigate regulatory landscapes, they may be prompting users to transition away from naked trading positions and instead deposit actual cryptocurrency to collateralize their trades. This would explain the observed increase in BCH deposits on Binance, representing a move towards more in kind crypto backed positions.
Sources:
Coinbase wallet huge increase of withdrawals as users self custody: https://bitinfocharts.com/bitcoin%20cash/address/1PUwPCNqKiC6La8wtbJEAhnBvtc8gdw19h
Binance multi year high BCH Balance likely for their leverage traders collateral: https://bitinfocharts.com/bitcoin%20cash/address/1P86nZCNWUiynP52AK2eTuTGZXYUTwX6qQ
OKX to expand to USA: https://www.coindesk.com/policy/2025/04/15/okx-to-expand-to-the-us-establish-regional-hq-in-california
Hardware Wallet sales: https://cointelegraph.com/news/trezor-record-demand-bitcoin-nearing-100k , https://www.axios.com/2022/12/06/ledger-crypto-hardware-wallet
Edit:
Further anecdotal evidence highlights this divergence. On April 12th and 14th, the price of BCH on the spot exchange Coinbase briefly surpassed $380. In stark contrast, Binance, a platform offering leveraged trading, saw BCH peak at only $358 on the 12th. This discrepancy potentially arises from the fundamental differences between spot and leverage exchanges. Coinbase, as a spot market, requires actual BCH to facilitate trades, limiting downward price pressure if supply is constrained. Conversely, Binance allows traders to short-sell significant amounts of BCH without holding the underlying asset, potentially creating abundant, albeit synthetic, liquidity that can suppress price, even if the exchange's actual BCH reserves are limited. | r/bitcoincash | post | r/Bitcoincash | 2025-04-18 | Z0FBQUFBQm9FZ1VKcUdaZS1Ob0ZSN19Ia1dOY2JWR2tLYU5NbDl5RGdHNVBaOFNzSm9qRTdkN3drVTcxVlBUZ2FXY3BmVEczaHRQc0JTeDUtQkpPWGpCbmo1MGtyTWpoc3c9PQ== | Z0FBQUFBQm9FZ1VKcjBpM0g1MHhBUGVCNmtqeGNMUmx0cURZamkyaHE5b0xWMXI3WnNtNW0zakxoV3l5enZEYTFCdGo0a1I3d2paU1NqblhyeXROSDQxcG1xM3RqODVxalNKSTE0X0Exd21WMVkxdW1VVzBIV1g5SHFHV2VKa3dvYm9OQ05LVk10UlBTMmVzbXRKaURNS0N0MGtNdkRYd2hyX2tLZGJQS2xwcVpGTnVLYjFCSXcyRm9JYnI4SUZGRUtIYnAzMGVBWkNDSVlicFFLZmxUanRfcnFyN3Z3OGxydz09 |
It’s 2 clicks and you have your referral link + QR code and you can start earning! No KYC, no banks, just BCH!
Have you asked your family and friends if they want to play yet?
Get tickets for tomorrows draw as well as get your referral link here: https://bitcoincashgloballotto.com | r/bitcoincash | post | r/Bitcoincash | 2025-04-19 | Z0FBQUFBQm9FZ1VKQ0I4NndaQVdpNVF1NnVOUXU5c1JDcHlYYm9QekMwcWJHUTFVUjlneFNPX0Y2RDliaF9MV1V1a3hKdUlidTdwRnhaTUY5REdQcmFHY3JzLUxHSjBKNHc9PQ== | Z0FBQUFBQm9FZ1VKdHZJQXh2ZFp1Q1hCSTUzU1lrRlozMGJ5d3ZiYTA2TC03YlJyX0VRUUVwMzVKQ1gtMFl2NW1zUlpHcVpjWVpGSmVkdU9sX3ZlYjVoOUxYMDFWUWYwZ0R3RmJ3X2p1MGdVQjNtdDZMZXQyLWxlXzdmNkdZalhLYU5JTHpZMWlaSmlvZ3ctRDdJTXYtZFhQWThsVlZFcXlwQTAtYmNyb2lTNlhfUVNrbkFFMnk5X0lwakE2cGJfX25fWlV6TlF0ZU9NdnR6Nll3U1BoaWFFMjAzOGtFUlh0dz09 |
Might be a dumb question but can you stake BCH anywhere or earn interest on holdings? | r/bitcoincash | post | r/Bitcoincash | 2025-04-20 | Z0FBQUFBQm9FZ1VKZHZ2TDBLdHk0SWlWMU5kNDVPOF94THRlWDRNZ1RCUHVFNnBIOUZuQ1lvZnZ5Ym4tTGpPNWhmeWJKY3hWNmg4VGxEOFpob3NUTlBoOUV1SHpBZHRQbVE9PQ== | Z0FBQUFBQm9FZ1VKcTdNS2ZHYXVkSnFMcEE4bzNpMUY2LUgzTTh2TXdMZ0RrYkNYcExPOVVQblNIRl9ZVFNjczQ2QmlXY1pHWjFFTUs1WTNTMUVyUjlpRTNqWHlISGhYT0JNX1hqLTBFZ2czbThFT3JDYUNHTDFXT25wY2tYUU03SVpFRHduWTNpaUFsMUFnTDR4ZjZ1MTM0OGJyTDUza3J3PT0= |
TL;DR: The market for BADGERS is getting exciting.
Here's how to interact with the markets:
- Divide current the price of BADGERS (in sats) by 20.
- The above number is the effective annualized staking yield (APY).
- If the yield seems high, stake BCH for BADGERS to sell them.
- If the yield seems low, LP stake BADGERS on cauldron, until it's higher.
- Active users of BADGERS markets can reliably get more Bitcoin Cash.
Example:
Today, BADGERS [are trading for 70.4 sats per token](https://app.cauldron.quest/swap/242f6ecedb404c743477e35b09733a56cacae34f3109d5cee1cbc1d5630affd7). So staking BCH to sell BADGER would yield a roughly 3.5% annualized return, with minimal risk exposure for the underlying Bitcoin Cash principal.
The yield for Badgers is **higher** than the current rate for FBCH of 2.1%, and higher is generally better for yields with comparable risks.
This is hard L1, fully-collateralized, always-auditable, time-deposit, low-tech staking with NO LOANS an no funny business with the underlying capital.
## Intro to Badgernomics
Over the last six months, the market for BADGER tokens on [cauldron DEX](https://app.cauldron.quest/swap/242f6ecedb404c743477e35b09733a56cacae34f3109d5cee1cbc1d5630affd7) has crashed from upwards of 2000+ sats per token to roughly 70 sats per token now.
Typical pump and dump... right? Well, nope, not so fast.
The market for HoneyBadger tokens (BADGER) is about to get interesting, because it might be the **ONLY** active open intrinsically-priced decentralized token market on Bitcoin Cash. This is a fair market that users can affect, individually and collectively. And the token price and staking APY are closer to where they may be long term.
Another interesting, or boring, thing is that: a million people could lock a coin in the badgers app for a week, and they should **ALL** get their whole coin back plus 1000 BADGER tokens. (This isn't a Bankman-scheme). And since the BADGER tokens will always have some non-zero monetary value, there could be a million winners. And they can all know how and what they'll win from the outset.
Like bitcoin's issuance, the "Badgers Test" is a simple checklist:
- [ ] Total token issuance was contractually controlled.
- [ ] It has a fair distribution with issuance not directly benefiting the project owner.
- [ ] Token price is allowed to float based on intrinsic open market forces (not pegged to an extrinsic oracle or BCH itself)
Very few CashToken projects check all these boxes. Badgers does with Fungible tokens. The [Emerald DAO](https://emerald-dao.cash/) was an NFT project that passed the "Badger Test". But to date, I'm not aware of any other token on Bitcoin Cash that meet the above three features as cleanly as Badger.
WBCH and FBCH obviously peg to BCH, which is less interesting because we know 1 XBCH is (or will be) 1 BCH.
While there are certainly meme coins or NFTs that have contractually controlled issuance, and lots of token derivatives tied to other assets, BADGER is interesting because supply is NOT controlled by a single actor, and it's NOT pegged to something outside. It's firewalled. It's a realer market than a derivative. People in BCH can actually impact the price in a decentralized way. And it's not like the issuer kept a bunch of tokens to cash out later, meaning a single party could dictate the price.
## What is the Badgers Dapp?
[Badgers.cash](https://badgers.cash) is a decentralized finance app to get token rewards for staking Bitcoin Cash.
What do the tokens do? Well, for one thing, the token price indicates the prevailing rate of yield for people to stake BCH without impairment losses. So not only can users get a *yield* on locked principal value, which is huge, but everyone can also see the *market rate* for that yield, which is bigger.
Badgers uses the [BadgersStake](https://github.com/SayoshiNakamario/BadgersStake) contract, which anyone can view, interact with, or audit. And the total initial supply of Badgers was held by that contract. Anyone can stake permissionlessly. There is no way to withdraw that BADGER token supply except through staking. There was no developer reserve or Badgers Foundation.
[Badgers.cash](https://badgers.cash) has been around for a year, it was released around May 2024. The contract address can be viewed [here](https://3xpl.com/bitcoin-cash/address/pvgcl3xk6nwqlngkk09e7g67x5vxs57jv6v2q4qm4ct5yv4d3ppfgl3tq982v). And the tokens can be [swapped on cauldron](https://app.cauldron.quest/swap/242f6ecedb404c743477e35b09733a56cacae34f3109d5cee1cbc1d5630affd7).
Badgers was the second dapp on Bitcoin Cash to pay a "safe" yield. Along with the first app (EmeraldDao) & FBCH, it's "safe"er because staked coins aren't loaned out for interest, principal is simply held on the contract and released later with some bonus. In contrast to protocols where coins are loaned out to a succession or riskier parties, badger staking has less risk in practice, because it's always fully backed and easily audited at all times―like bitcoin.
It's very easy with BadgerStake to see that all the coins are on one contract, and that everyone who staked in the past year got all their coins back, with token interest. There's been about 1500 transactions, with 75 active stakes at the time of writing.
## But we had open defi markets already.
Ehhh.
There are protocols on Bitcoin Cash to engage in *currency swaps* tied to an extrinsic oracle, which risks the principal of an investment and doesn't directly impact price.
A swap is not a timed deposit, the risks are very different.
It's simply not a market if there is no price discovery. It's an unplugged controller if orders never really go to the lit market.
Additionally, there's a risk of loss of principal. If someone hedges 1 Bitcoin Cash in a swap at the rate of $350 for a pre-rebate or coupon, they're risking a fraction of their principal in coin denominated terms. As an extreme example, if it was revealed tomorrow that the President of the United States promised all national stockpiles of gold and weapons to another country, and the price of Bitcoin Cash shot up to $350,000, a hedge position might only get 0.001 BCH back in principal, for a couple percentage prebate.
It's not really a straight yield on principal, if the principal can be lost.
On the other side of a currency swap, someone can take a leveraged long position, but they aren't really participating in a market if the strike price for the swap can be determined by a single party with a lot of dollar tokens and advanced market making capabilities. So someone bullish on Bitcoin Cash can risk all their principal and not be participating in a decentralized market, if they enter into a leveraged currency swap settled by an extrinsic oracle.
Places to speculate on asset prices in ways that don't impact the markets have existed for hundreds of years.
## But there are lots of token markets...
It's also possible to "stake" assets (BCH+tokens), but again, there are risks.
Automated market making on BCH involves placing both Bitcoin Cash and some token in the same output or vault.
If someone mints 21M scamcoin tokens and creates a market where each one of those tokens starts trading at 1 BCH, it's not really a decentralized market if one party starts with the entire token supply and can dictate the initial prices.
To provide liquidity for a token that a single-party issued is risky, because the LP staker must hold the token on their books. In practice, the issuer of liquidity creates considerable downside risk for any party that didn't control the entire initial supply of tokens, unless all the tokens are provably issued to a permissionless contract.
It's trivial for someone to begin an AMM market high, and harvest value from parties trying to state liquidity at inflated rates. When someone stakes a token at a high price, they're essentially offering to buy more at that high price.
## Moving Onward.
Badgers.cash has grown over the last year from an app with 10 BCH TLV, to an app with over 150 TLV (at times). If Badger Staking offers the best yields in Bitcoin Cash (better than FBCH), than liquidity should go to Badgers. Some kind of positive yield, no matter how small, is higher than staking in an app with no yield (like the HODL-EC plugin for example).
With the way Badger works, the user chooses a predefined future locktime to hodl to in advance. One of the nice features of this setup is that locks can "auto-complete", anyone can execute the code to repay the staker their original funds and BADGER tokens. Which is great for getting everyone paid back.
A competing app could be more responsive. Markets could be more responsive, and users might stake more liquidity, if a dapp offered the flexibility to unlock at any time. So someone might choose to keep the bulk of their reserves staked and simply wait for the price of a token moved slightly higher, then they could unlock and sell dynamically in response to the market. Or if the positions were tokenized and could be released for liquidation as NFT keycards in response to the market.
There will soon be new dexes, new auctions and new uses for BADGERS in vox.cash. It will be possible to create transactions arbitraging orders across transactions. It will be possible to subscribe to apps using BADGERS tokens.
But for right now, anyone in Bitcoin Cash can collect some free BADGERS by staking. Anyone can put in a little money, see that it's locked, and see that they get it back with some positive reward. There is no outside lever to rug or liquidate everyone's claims.
Right now there are 75 locks on badgers.cash. There could be a thousands locks, or ten thousand, and all the money can be seen and accounted for at all times. And everyone should win something, individually and as a group. | r/bitcoincash | post | r/Bitcoincash | 2025-04-22 | Z0FBQUFBQm9FZ1VKTGpPZzZmci1yR2JycEMtZXpPbkpscV9lV1FVU1FlX3E5Vkp1QVMxYmpCejJ0UmlrMG5OekNqeWJlU2diQkRUeVRiWWFoWk9ISU1yY2gxN2gxZk5DbUE9PQ== | Z0FBQUFBQm9FZ1VKUFBOSEUybkJiNXRsZUZSTkkyNV9lMU1hcmZOellQVUNSdlRmajhPSTRXWE00RExqTXZ0TU14YjVfV0MxdXpMZl9RcHhoYm1sNHFVMTV3OG9oS0w3N2pXaW9XZjJldjlGM1BXU2tJYUR6M016N2l3NEFpRUpzSTEzN05hYklObTFEdUs3bEFaeGJWRE5PSnc1bTZ6MHBSZllkQ2JXamluM04zMlFwWnduWkt6c09Rd2tfYXEtWi1SaFg4UGsyaXlLZmU0ZFNhUkJsb3FaUFQ0anQ5N2VQQT09 |
Getting set up to sell BCH Global Lotto tickets to get paid BCH instantly is super easy! Selling tickets is even easier when you break it down to the simplest concept that anyone will understand - it’s only $1!
Let me know if you want to get set up selling or you can head over to the “Ticket Seller Rewards Program” in the menu on the site: https://bitcoincashgloballotto.com | r/bitcoincash | post | r/Bitcoincash | 2025-04-22 | Z0FBQUFBQm9FZ1VKclo2a1lOLWxmSGM3eVhTMGE1QjkzWGJSSkYyR2U4ZlpFMVVPaFVNZEdUWXBmdTZ4bndRTEpiZFJJYWlvano4QUdhQUhXdWpqYlRsazBGUl9XVVM3ZWc9PQ== | Z0FBQUFBQm9FZ1VKWXdTTGdmOTZBNUVrdzRUWUw1UDBQb3ljY004S3BYWm5obTRYVDV2RXZXbTNWS3NSRkRGMTBSS0JabURtU0JvM296R1ZZeEVPNV9wb2FNVnFXMUMyblRud0dxcnhsdV95SmtUY3dtX0hMUVV6YkpEam5Tanl6bFlxNExaZUJOODFfbVRmcWF5cWlScGdEYjNBX256bzc1eVdNRzZoVW92WWFsZEtkYmI4MnRmcWl3d3EtMnBnQkRsQ3ZaMTJnVDVNTlR5SzRKQ1g4MnhUMmFYS1dFNFYyUT09 |
An auction is a set of rules or procedures to accomplish three things simultaneously. Those things are:
1. Price discovery: determining the fair market price.
2. Transfer the title of ownership.
3. Determine the buyer, or who will be paying the seller.
There's a group of people, the bidders, who know the auction rules to participate to fulfill their economic needs. There can be different rules for different types of things.
There are FOUR common problems that can result from a typical auction:
- Buyers not paying,
- Buyers not picking up,
- Seller not getting paid because buyers didn't pay,
- And finally, sellers not collecting unsold property.
But since Bitcoin Cash has a very capable scripting system, we could have a perfect auction that accomplished the three functions needed and prevented the four property/payment problems perfectly.
With CashTokens, what we need is one transaction that remits payment to the seller, and releases the token for the buyer, while allowing anyone to bid at any price.
Auctions take time. Bidders need to know that something will be sold, & about when. Bidders need to research authenticity, the current market and plan their overall strategy.
In a Dutch Auction, a successively lower ASK is called until someone bids. The first and only bidder wins the lot.
A Dutch auction may sometimes transition into an English auction. In an English auction, the ASK goes up in regular increments with successive bids from different parties until no one wants to bid higher and an auctioneer says "sold".
So to do an English auction in bitcoin, we'd need to keep track the current high bidder, their bid and (since we can't put that info on the NFT being sold), we'd need some way to link or refer a bid to the token utxo.
In a bitcoin virtual machine, there is no global state like with an Ethereum virtual machine (EVM). While it's possible to write an [English-like auction system](https://github.com/BitCANN/contracts/blob/main/README.md) with CashTokens, a Dutch auction is much more straight-forward because it can be done in one transaction with no need to keep track of the bid, bidder, or link to the lot being sold.
Again, the rules for a Dutch Auction are:
- Start at some very high price.
- Go down in regular increments.
- The first bid wins.
Dutch auctions are great at getting things sold―they're great for throughput.
If we use the same ridiculous price (maybe 50 BCH) for every lot, then the only state we need to keep track of is time, which is already available on every bitcoin output since 2017.
So what do we need to say in bitcoin to make this auction happen? What does the auction contract need to check?
- An output MUST be a version 2 transaction (for timelocks).
- The output value MUST must be higher than the ASK.
- An output MUST pay the seller the current ASK.
- If using block height as time, we need some checks for that.
We don't care where the buyer sends their new token, that's unrestricted, or restricted by consensus rules already.
To list tokens for sale, a seller could send their tokens to a contract where the ASK is always 50 BCH divided by the age of the unspent output in blocks, and anyone would be able to create a transaction spending their tokens and paying the seller the fair market price for their token.
The above logic in CashScript (// BitcoinScript):
contract DutchAuction(
// Opening ASK
int open,
// LockingBytecode of the consigner, the address receiving payout
bytes recipientLockingBytecode
) {
//
function buy() {
// Require version 2 for BIP68 support
// OP_TXVERSION OP_2 OP_NUMEQUALVERIFY
require(tx.version == 2, "must use v2 transaction");
// The minimum relative age is the opening bid divided by the ask.
// OP_INPUTINDEX OP_OUTPUTVALUE OP_DIV
int requiredAge = open/tx.outputs[this.activeInputIndex].value;
// The age in blocks must be in a valid BIP68 range
// ffff00 OP_OVER OP_GREATERTHAN OP_VERIFY
require(65535 > requiredAge, "open over value (required age) must be less than 65535");
// Enforce the minimum age.
// OP_CHECKSEQUENCEVERIFY OP_DROP
require(this.age >= requiredAge, "bid too low");
// Check that each output sends to the consignor
// OP_INPUTINDEX OP_OUTPUTBYTECODE OP_EQUAL
require(tx.outputs[this.activeInputIndex].lockingBytecode == recipientLockingBytecode, "must payout consigner");
}
}
The above code works out to 26 bytes for the auction logic on the blockchain.
It looks like this:
c2529c69007ac0cc9603ffff005179a069007ab275c0cd517a87
With the balance of the auction contract, showing the age of the lots, no special service is needed to calculate the ASK. It's decentralized, use your own computer.
After 1 block the ASK is 50 BCH. After 10 blocks the ASK would be 5 BCH. After a week (~1000 blocks) the price would be 0.05. After a month the price would be 1.25M sats. After a year the price would be 76k sats, which would be about as low as it goes.
There's a lot of stuff left out:
- no commission
- no premiums
- no auctioneers
- no volley of bidders
- no cancellations
- no welching
- no unsold property (of value above 76k sats)
Bidders would have to pay standard transaction fees to miners.
But sellers don't get a free ride. Sellers that no longer wished to auction their property could cancel by buying their lots back. They pay by expressing what price they believe is too low, just like everyone else. They'd have to pay themselves the current ASK, and pay miners a fee for doing so.
It would be easy for a seller to list 10 NFTs (or 1000) using a single contract address. The seller's auction contract is just a token-aware bitcoin cash address. They could send tokens to it from any wallet with support for sending to such a CashToken aware address.
The auction contract is designed for arbitrage. A transaction could be built simultaneously buying purchasing a fungible token at auction while swapping the same token out for Bitcoin Cash on a compatible dex like cauldron.
The parameters to find an auction contract on-chain are just the start price and the seller's address. That data would fit in an the size of NFT commitment. So sellers could announce that they were having an auction, [if/when we had a CashToken powered social dapp for that.](https://fundme.cash/campaign/28) | r/bitcoincash | post | r/Bitcoincash | 2025-04-24 | Z0FBQUFBQm9FZ1VKVVd3OXZ6MUtvWHlzWF9Qa3hFX2JvVFR2NFZwanBDT2VXRFpHM1ZCSlVmZU9Vdjl4R0NUQnNENDIyYmd5RW1lQ3BPWWNUYmNIR2JKUC1TX2xsbExUMFE9PQ== | Z0FBQUFBQm9FZ1VKVlNDX3ZsaFNRMmlOX001eTBEVVZWVEsxSzl5cUhxdDhIU2pseHJSNldHVFMwaEQyNG9WejZ6YkVhYmZTbUVqMHV0LWY5Y3AwOTF1QXJ3MHFtb0pLZ0lraDRYaVdCVmFTQVQ0OVJjTWt5bTItVGNKSWhXdW9jeERUUnJ5SEhuMmtGUUExS0ZDQzk0YU5Icl9yYzFyd3dOaVZlZXNmQ0lKS0s0RlhFWVhsekRidEtxQjkyUDN1MkhnRmxnaEQ2eHUz |
Something | r/bitcoincash | post | r/Bitcoincash | 2025-04-24 | Z0FBQUFBQm9FZ1VKaEU4dFdnSjNaZnBtdWhSWllPS2J0Z3BYVTZXSUp6MmJlckRrRlZWb1pPTThiTGJ5NGlLOEJUZmFQanZzR3B2UFMxLUp1N3V2dmUyMjh1YkIxaWFFZGc9PQ== | Z0FBQUFBQm9FZ1VKWkpsVDh2QjZuWm9fbUlpdy1TS3hQeVg2Z0VNWTVxekctX1RwRWJmSDlPNmdkSE1rVlJDX3ZYWWZaSUYzMUtta0VaT3cyeE03M1c3NWl3LVRyNVRpY2t6V21HX0ZkbFVTclp0ZEp5Yy0wSnJIUW5lY2E5anJCVk5xNnA3VHQ4bjBvS1Jpc3p1QzhnNDRuZVRVeUw3a052cS1qYk1KcDREdUprUmJsUFNuNndQVG5KVGw2T0RyNmdab3VtQ2owakI1aFJueGZ0aDFPdDN2SUkwYnI3eWQ5QT09 |
Oligarchs have deleted all copies of the graphic novel "First Woman: NASA's Promise for Humanity" from US Government websites.
[https://nasawatch.com/education/you-can-still-read-nasas-deleted-first-woman-graphic-novels/](https://nasawatch.com/education/you-can-still-read-nasas-deleted-first-woman-graphic-novels/)
If you understand why we have go to moon, some bitcoin in an irrevocable trust may help you get there. Save the world then we'll balance the books.
https://unspent.cash/moonshot | r/bitcoincash | post | r/Bitcoincash | 2025-04-25 | Z0FBQUFBQm9FZ1VKSEg5Q1FKRUMwcS1DbGUtRUl2TV95V2txdndHbVJUNUVPUVltM2Z3XzlUQXU2a0Y3VGw4N0xScTR1UFlZSUlMYTBxeUpXUGpZdndzYjVxVk1rdjlOY2c9PQ== | Z0FBQUFBQm9FZ1VKZDVJRlgyRVlIVXZVX2xPamF0S0JMQkRiZml4bXJ4SUlGM0N6TVBUMUxlSk1QS1dUOHZBN1VKZjJEQVZpV09fT1lIcnNFUGVUMEhJMmpTdlFRZGp4ei1PWWVHRnc1MHl2R1pjQ01xUF9XSnRmMmtEb3BOVlpuSUZpSzZHcEpzU0VKOVNFNEZlNUI3elhzNkFQSzdHekdrcUJ5U2R0cVR2MXZfSEhUenhVSHNlQi1ZZnhBSkcza3NIWTAxVzR4cms0Q2FqYWdLR3pBZ2JGUlV1d1UyMHJQZz09 |
Hi,
Few days ago I launched new feature in my crypto mining pool called "Ticket mining" available here
[https://minemine.online/party](https://minemine.online/party)
It's feature directed to those who would like to mine some crypto but dont have any miner.
Idea is very simple - buy ticket and use it in any mining party you want. At this moment you can mine BCH, XEC and BTC.
Any feedback is very welcome!
| r/bitcoincash | post | r/Bitcoincash | 2025-04-28 | Z0FBQUFBQm9FZ1VKX2RmaVR3dnhvMm5paHNVMFlZVURSci1rY2FZbjdVSVk2R2NZUU5melF0cF9oS01EbVdKcXlIMW8xdHNaVUo5T1FTQTBwQUpMWm5DamJTSGlLZ0hVdHc9PQ== | Z0FBQUFBQm9FZ1VKemdNdEY3QnNobm4xUEJZbTktM2RmbXlVQWRneVF1cTFnTlhoYnZSaWRUTlN1NmlWQVB0ODhyVlFRYW1VYkE4Z0FXMFRyNXpoYkp5SEVWNmN6SzYzQkVPekhHWnRGZ0U3NWpGNEc4MzBVU0xMTU9sZzJlMTNEaXY1eUxSTzdudXJPZDUxdWZmZG1XZkw5MmFrdjF6SmhVN0hNcXpNRk1jZ1NPR2RHcEY1UGlrdDJtb2lEU1lEMTRUbC1UWkU3SHZH |
Grab your tickets at: https://bitcoincashgloballotto.com and sit back and relax. If you scoop the jackpot, it will be deposited automatically in your wallet! | r/bitcoincash | post | r/Bitcoincash | 2025-04-28 | Z0FBQUFBQm9FZ1VKRGlja3hyc1hnakx2UmtHS1lCZW5Eb3hNTjFmR0RpbXp0MU91M0RyVm5yejR6WFh1dlFzQ24xY1NTd21YX2g1eGRwZVMxSjEwdXR6eW5LVzlwTWIyTGc9PQ== | Z0FBQUFBQm9FZ1VKVUtzajc4Vlp0aHo3bTZVRU43dzhSN1F1Qm5ScFVGVUZTVnp6aHkzQS01Ri1mVVdoWjhVTGJwTXNyS0k4ZzNXWVRwZ3l3YjZnZUI0dm50MlEtTUd5Qm9DTk5oV0EtR0ZSSzBUWkVjSF92TmZmcldXY21hVzRCd01sYnNaTHBlanlfQzhVa0I3SnJkWEpNd1JpZ3FFeVBUV2x0dmMzdnNHbnN5dHRmZkdRZ2s5T1EyS2FOT21rVmlmY2kyVDZPUTRnS25NdjZ1cEgzdlhNOFRwMTU3V0l6QT09 |
**Major update:** general Bug fixes, improved Stage & GFX, new BG GFX: Infinite Cosmic Space String v2, new GFX: Nebula, new GFX:procedurally generated floating platforms (pathways), 1x new weapon, faster rendering, Shader GFX.
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I’ve really enjoyed creating it so far and have plans to add more features soon.
Thanks so much for your support! | r/bitcoincash | post | r/Bitcoincash | 2025-04-29 | Z0FBQUFBQm9FZ1VKOGtwU1g2R2pSRExKMnhGRXVyU0hmc1ZRRDRVVnJTTDdiQjJYQ1hZa0NpU2VLWW13czFxdjNCUTg4S2ZLcTZETDNJWHdVemdHbXJNeXNlX2RlWmVJbHc9PQ== | Z0FBQUFBQm9FZ1VKWjdJSXduVmJCbVRHRXdWRFdzNDhnbUplRFlIVUYwNEI2Nk11WHA2X0tObkJZN1ZOYWRIaHJBeC1GYlBMVFl1bGY5SkY1YVFuM2dSeU8xdjZHMEhEVjJjTFR6TXFMazlxeEt1Z0Z3X3ZRa19sVWJIVTNwbHVMTjdOdlhhMTIyaUx3cl9YM2dzR1ZieWdvVFd5SzJHY3ZxZExDaUJ1eFNoMjAyOWE0azlvOTVHeTJfZlRqc2wwV0VXbVcxTmYtVkdqR1IyZ2xjaVEzdEkzQ01WaTY2N2VfUT09 |
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| r/bitcoincash | post | r/Bitcoincash | 2025-04-29 | Z0FBQUFBQm9FZ1VKN3pDVlhHQm1BdVZWR0h0enVVREw4cVBGemU3aDMwWUE5VTgwMW1IUnAzel9fV0tfU0d4bzNDSVRxSmlRVV8zeURFSnJCYlNIdVVScHVET2NQaEhkQ3c9PQ== | Z0FBQUFBQm9FZ1VKSEJlbC0td3ZONmg2dnNDNXQ4RlVGTkNFLURUdVRrOHVraXpwb0J5N0NKRGdHei1hUG1qbnUycnF4MVFxSXNnX2lsbzkzQ3ctTWt2TVJ5YWo3NTV1Yjl1elp6NlE4QWtsOEt2emR5Qm9GelVDaVdCd3JlLTl5N0lHVlhaNlN2VkNVOWFDdmdGLVRxdmkxdndTVHdGNnhCR3ptMURxUWtXMmJPQmRHZWk0NmtncWJ4SU9UQktCR2dQX2Z0ckJJOGFT |
I was having an interesting conversation with the director of AI and here's the TL;DR
LLM/Gen AI are language models at the end of the day and They revolutionized and made most NLP old-school techniques redundant. E.g. summarization, intent identification etc. Similarly Agentic AI will most certainly find itself in major solutions and frameworks in upcoming years by automating the entire flow.
However, there's one aspect that's not often discussed which is these are not data models and are not meant for data focused tasks like process optimization, regression or time series forecasting. For instance, assume Agentic AI in Industry use cases for automation. When it comes to process optimization or forecasting use case, this agentic ai workflow will have to be integrated with those model for efficient functioning. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKTlFyQm0wYkhiR1FpdGh6cjJYRDJoTE5rSXNHdVgtZTJMamxDYlVDcXJfRnBWUUo2SkJKcjRiWHozQ0wtbGdXSWY3b1Y4cDh5QWVHeUg4VTZWLUc0a2R1Mi1hdzRmZ3NyX1FDTHpsc041ZE09 | Z0FBQUFBQm9FZ1VKTVJva3A5WnlNenViM085QVdWVVh5WDliVllrbTVMYVVBT241dDlJeF9ScnJHSUxBT1ZqNFM0eFJzdW9LbG5QOHRLeDRhc3FCV3JtUGw0MGtwdjAwTXdGQTlzdUJ2amdDUUsybUs3cGp0ZjdQeFFON09fSExRb2lGbURyRzU4NFFwaDVuYm1tNVhCSTVnN0oyZ2lMbGIzY3BGZVVBbWU3NEt4bTJNcnJkVkQ0MlFxRzhtSEY1UmJ5OUZNVmdBVldHbVladnl0THZpUGlQaWUzdHZXN0dqQT09 |
Depends on the use case but usually it is identifying causal process, coming up with some matching or panel regression design and then running the analysis and writing down the report with subject-matter expert. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKdzBHbndsaEl6blFnZFZ1NVphXzl6NVJXMk5HLUxTQ3BkQXZTcE1lek5udGJrMFEwMkE3Q1F2c1FQMThFbWFpaTEzRkI4UzNyOGs4ZHF4SEZfSGM1TmFZQ0VrXzUyVEFSOHJFV1NEZXhIT1E9 | Z0FBQUFBQm9FZ1VKVndHaFV0ZnYza0kyS09SQzJnak0tTjFaWEtSLUhkUWk2dFJ1UjJnT1FwRlNnM3lwZ29SaVZrTTRhSjFtWDZndlpKS1ZjdEI4cXZBNEhMNEg0VW4wS0Jra0lodVRrRFY5VENOZ3FrbE9yOGoyekNDcHF3V3g4MkttX3lqVTZURlVGZUwtREFzanZNaFdraE42bWpyeTVudE5lUU56TFFoR3k4RVV0Z2JHNm1CR3U1c1ZENm1NRDhNUDRjNXBiQnhUOFpabTJMZWZwQ2txSnNucXVGV3dGZz09 |
Could you clarify exactly what you mean by "data science skills"? | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKZ2FGNTBqNmR4c2xuYmZ3QkJoZmNidXlxLUxpbE1WNjZKcUZRLV9rTkQxZ1hSdVFKeDB5SlpDYkJDb2lPaUR6VEFXSUUzMnZDbTQzTXdaMjE2Q2RBSDB4T2xIaURCeGpCTGxxM1JnSUt3WVE9 | Z0FBQUFBQm9FZ1VKVHY4SDVMNGZjXzdocDFKb05PWGVFMmpmZWcwSXpzT3dzY2oybG1Sa045OW5EU091Y043bDdEMzRlMUt1aTlBWW11bmZ6OHAyUEZ6NDFYcmtxRHBCX3FvN3lNQXh2aG8yQ0x5dXV3VlpjUV96NllzZ2lrVlNpbXM2Zkg3Z0V6aUFYeFl3RExiMWQ4U2Z3QkNkelEyV0JPN2dOQkJwNFpMQngzVExYeDBUaVd5Mnp3TE50c2Z4bjRYS055dkUzdWFYU01TZ1hZTXBVNG9Xb2lKSnVNS2I3dz09 |
I think that if you are working on NLP problems, then there is a very large chance that you will need to leverage LLMs.
Just an anecdote, but at my previous job, we had a small team working on an NLP classification problem.
We spent over a year on it, and we hand-labelled thousands of these notes and put a lot of effort into building the most accurate model possible.
I was fairly proud of what we did, and our overall precision/recall was around 35%/45%, which we felt was great considering how difficult the problem was. The baseline for random guessing was like 10%, for reference.
Just before I left that job, GPT-4 was released. So I decided to test out using it as a one-shot classifier for our problem and tested it on a few hundred samples.
The result? It got over 90% precision and 90% recall.
In fact, I examined some of the "false positives," and quite a few of them turned out to be incorrectly labeled by us, and the model was actually correct.
Now, there were still very big concerns around the cost of the model, etc. But things have only gotten cheaper, faster, and more diverse since GPT-4 came out.
Could you train a custom model that is even more accurate? Definitely, but how many labeled data points would you need? How expensive are human labelers per sample on your task?
All of these questions mean that in practice, if you're working on a hard NLP problem, then you will probably need to leverage LLMs in some capacity. Whether that's calling APIs, using them for cheap labelling/distillation, etc. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKVHpyZ0tjTmVSWWdIVzc3NkdZQnVuNlQ0OVVseDEyaGlweC1rRDU4Vl9QblduSzJrZGRKck42UlJQdWlnVzlCWTVVXzlCTThNeUI4QlFRYlNSR0tmRWc9PQ== | Z0FBQUFBQm9FZ1VKUUlwQ1hBdGVYWjI3LUlLNkRILUJpOFc0VXZjczFQTEhVbzV3M09ybVItcXRVWTF1T3hVc0pBd2VOb0c2elZHOU5neXlNNHhzSlFKVFE1MkNFWW9VWEdDbWdIakt0aTgyQTg0QmlGN0RMYWdGdGRLaXo1eW5PTTctdHFSNzlFMFFiR043eXpqZ3VHUHQxY1lfWHl2TGlnenVpcVNvWmp1Ump0MmJWdS1US1RyV1pjQ1FleWxseWVQdEFjM2hhWjlMNzBtYW90UlJNaFlJaFMwWHA3bDNzUT09 |
I don't apply to positions mentioning LLM, if NLP is mentioned at all I`m reluctant if there isn't any more details.
Haven't been forced to work on it in roles I've been at, pretty much only worked on tabular data, only once supported an NLP project, but not gen ai related | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKY1RYaHNPMFIwQjlNWFFRRnJwaUEzeUhtYXR5dm9DcWNuS1ZxU243Y3cyUUhNTEhlWS03eXRrTVEyQVJpQ19JSk52M0pzZDZUbzBXblRTSGY1Z0JwOVE9PQ== | Z0FBQUFBQm9FZ1VKQXNDLUh4UDVKUjVyLXBhNGdBd2ZDZUpWVUxVdGQ0cFZEU1FJUjdkUjBOLVVzdEt1TlZiemN2YV9iR2cwZ3Q4MzdOWDIySGh5Vkt5SV9tUUQ0TXpTZ2N6cFZ0S3ppeFAycktXX3duVFA1Z1JoQWNlbTltRnB6VHBiSWEtZEZRZGtadlBSOE5GVmxfaHVEcTZ5eW5ERlB6U3NrbFN1dTY5ZEdPYUdIVTQ5a1Fnb09TNUV3RnNCNklNYkpfRW9jQzZLLWJmcFUzRVJXN0hDNWxELWJta080QT09 |
One area where there will still be a role for something other than API calls is when the thing needs to run quickly on a device without internet connection. I don't want to work in defense, but this situation would be especially common in such contexts.
Even then giant models will be useful for labeling unstructured data which you can then train smaller models on. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKZ0FLR0RYS2FUVzF4ME5ER2t4Y3pXZWNhQ2tZNGh6a1ZDcThVSVZjSkt3OU94U0pTejJLcm1iTmhqdHFCRnB5Snpvc1MzUXF5NFotRVRtSDJzWVFTTWc9PQ== | Z0FBQUFBQm9FZ1VKSG5udWY2emZSUElKSlBYaDhHNF9sLVdZWWYxNTN5NjhRSGRBcUdIaFcxQ2pwVjRvaFc2MjY5dzJNNWoyQzFMUXIyU3ZVT2hzdWJSNnhadEI4SG5GXy1TaGN4VmdRNmk2aENnQU9sYVk3VmM1Y1pUNUZId3lyNzM5c0JRUm9QbVQxdWhxQ2RKak5oc2NTYU5zR1dEU1N6am1hTVpPS3pRUV83YUh0ekZ4a0FlMnhFYWNXNURoek9RVTBVSDBYVUktMUlqVk0zOUhTc3VxaGVGN05JUHpFdz09 |
Trying to shift towards experimental designs. Gut feeling is that data science questions will eventually move towards causality problems, and randomisation, quasi experimental design and other techniques in that area are going to be on the spotlight. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKaXJGbkJ3bi1uR1hDdVAtRFVVRmVxc3FKWDU3LXhxR2xsbzEwRjU3SF90SXptbGhyQ19pcERlbUIwVnpoOXR5aGw4a2tmc1dSc3lqbTlIRVFlbnBMS01FdGhVWlZ4TTNKVUdmSWY1Q1BmSmc9 | Z0FBQUFBQm9FZ1VKM0lnVWJqQkZXdWpQUEhPYWhKUEpPdGpKUjZkbUFEX2VOS3BCZ3JCb2RJbURKaVFOcjRrM0dzNjdic1NtQVlzV3NQQmdOcFpPRjhaM2hZalZrWVNaZ2xhRDZUcnJ0bDcxNzNSVjVCQWZxcTAwZkgzc2lHa0tWS1M4RE1kdENyLWE0QWpkdEQzZW92cG9CbDNyMklhYk54TlpaLV95a0pHV0VVTTY2OHFUX09YeWNOR3M5dlVyZWlBWkN2bFJFbzVrZGF3LXdRT2FfT2ZyRFlLdzlaY0FwZz09 |
I've never touched genAI and probably won't professionally.
It's neat but most of the time it's just an API wrapper with a RAG. Any software dev could set it up.
There is still a lot of modeling that needs to be done and it won't be genAI doing it. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKQjJ5cm9scUtkbVNYNXptYVhRYVZtVnVZamczWUZaOF9JdFlkZC1ES3JNWWFlb21DUkNCd0wzZFRPaG5VMDNqWW15bllrZ09va2pnVDUwUmZXQXpRX2c9PQ== | Z0FBQUFBQm9FZ1VKTzhjaXNPTTBQR0hWb2JxV19zZ2ZRVjZpRW9ocHRmeEw2VWk4ZmppY1FsYlpWSXNxTmc4S2F4VFo3VzZ2RzViT3gwVXZTcVVNeVh2Nm9Qb29KOFJkUGxDVEZmaGF2aVA5WkY1bW5reEpkT0p0NkVPcVRtcWZhUE4tY2NPTHJhVTRMX0hjdHJMTTFOVzVvbFo0WUhja3dwbXU2cENSRjhQbjFhakJOQ1N3OGlWd3FUNlh4Q3BtZ0JoN1dPWkNhY1k5bk1LczgwZ3BZUW9rSjRrcExVX0tQQT09 |
I’m having issues getting accurate coordinates from addresses. Do you use it for coords too or just routes? | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKdkZzUm11eTRyX091bkJlTlU0NnIwUlZfNUQtb0RDOGtVZnJRMTcyNGxkYlR0dEFZT0RsdWtzNzYyS3hTMjA3U3kzRi1Yd0FRTFhZNVhFUlNuMFVtWnc9PQ== | Z0FBQUFBQm9FZ1VKZWVfbFd4bFJUaFdZMHlwOG9SOG82YzFFR0V0MlQxNWRaNVYtNlhLdU5JQXNsSjMwXzFaYXVrdDFpWjZ3ckdXVVpkN2ozMzZfcUxXMlFQNURPeVZBRVBPSHNhaXJYRGUzcTlSRWlvUVFnZDBaV2lxWmt4MmFkMDBDLVg5VzNaOTVuOVJ3enpTdkNFYW01WC1XN08zMkQ2UHhfSUp3X3BpR1R0ODdFQWFCMlQ3dHdaamJoS3d6Sk5HTFZZcFkwSGlH |
Yeah, until these LLMs get more interpretable + you can troubleshoot their wrong answers, we'll still need human DS's in the loop. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKWXFFbE9wbHRsNFJVOUVKV1h4X1B4TkFGMzJtZktCQUVnNUxLclVZYlAtTUpTWnRoZmw0eUpkazIzMzlDSGcxYWxJSVFCUmwxMTlyQlFKQmlTSXl4cWc9PQ== | Z0FBQUFBQm9FZ1VKNGcyZlNjYlFFejdkeHNFaWMtR1ZHS051QVc3UnV0ZWNyd1JhNTF0QkpnWHlEUDNuX0NXYk45SEFCSzZMWlFVNTB2WVY4elZKcU9EQkdGWnN3TTVuQlNDVkkxX29qRjRhUVhMQjVhYWRoM01XeERiOUxKcTQzZ2ZTNEx4S1VySkFoSUNrbUpOVmo3MmNlaHA0ZlM3dmZFR1V5cGxnVnJiaE5QQ09LY1FZWDlyd0dQMGgtdVFyVldKUEtiSVlQUFltVFp0NWE3NUVaUFdBbVFTRXpDUGkxUT09 |
Same boat, and I don't know. Tabular data is LLM-proof. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKWFk3aGtlOGZQUTNWY0xobVM0SC00cG5VaUJtWmRicjNjVE9ZOVdEZkFuLXgxVDNlY3F5b0NSTEJTcXB5T09veTdkUG0zdGdJa1RFWUlkclFVbW9NN3IwQk4ycERPLTlqZkJGTVkwMG1aR1E9 | Z0FBQUFBQm9FZ1VKM1d4RzBfeFJtSUdUcjYtZVg2WnFBc0xWOEFrWGRDYU90RmRHTEZsWjZkSmprQjBHTy1kX3kwSWxfa3RMUnlnR1Z2dExUZU5ocnFkQjR2Z0g1VGZZMENrRXdOdkg2S2tPLWNnNG5fRlVDRWZkbzJGQjltdUFDNWJVdXhFNjZKWDF2dVZXRllxSHRCcVpzSzFvSENETm1Qb3Z1SF9rSTVLTXFfTEstY3kxbmk2WFJvakxUUEs4dDQ0ekRHSzBUdjNMY2hUTkNuM05pc1VzcHZ3ZGRSMlRmQT09 |
Leakage or not is probably an oversimplified view and it will make more sense if you understand the modelling problem from a more formal POV. Then it should also make why people instead do what they do in practice, and let you work out the right answer or a good heuristic for any situation.
You can see the modelling task in a few different ways:
1. Given some observables, can you predict a hidden value.
2. Given a past state, can you predict a future state.
You should decide which you are at least trying to do. They are not the same.
Usually what you want to do is the second. If you had good data with all the timestamps etc, your situation would be easier - take the state of data at the point of 'decision' and at the point of 'outcome' and nothing in the former can be leakage. Even if the 'conversion value' existed in the former state, it would not be leakage (eg maybe some reps set it eagerly). You would not even have to look in the data - it just follows from the modeling task and the data definition.
Pick the goal there and with ideal data, the correct answer should be obvious. From there you can work with dealing with the complicating realities.
That is for when you do actually have the full sequence of true events, which is rare.
The first modeling approach has valid applications but most of the time, analyses often treat the situation as #1 while they are actually trying to do #2. Sometimes just out of habit but often because you only have a snapshot of the data and lack proper data for events. That makes it clearer what we are trying to do - we are trying to simulate the causal process as in #2 using only a static snapshot as in #1.
This is the key that lets you answer whether there is 'leakage'.
If you had another field like "onboarding time" (assuming this something you only do once converted), then that would be 'leakage' for #2 but it would not be leakage for #1. The same is even true for things that would be set later in the process that you would normally not know at the time of decision - the model for when it needs to be applied would not have access to that data.
It is therefore also not enough to just look at the label that exactly replicates the conversion - you have to go through all of the categories and all of the other fields, and at least have some intuitive understanding of their causality. What is set at the point of decision (/conversion) vs after? If it is set after you have to deal with it or else your model is not predictive.
The simplest approach is to just identify which fields or which values would come from later in the process, then you want to censor those values.
(Technically, if values can appear both before and after, you can also deal with that through eg likelihoods, but usually you just censor everything you're worried about)
For the censoring, you obviously do not just blank the value because that has the same mutual information with the target.
That perspective also lets you note that just bunching the forbidden value into a category does not fix it as now that category now retains some of that mutual information.
You have to eliminate that connection.
Naturally just removing any fields that could depend on the future would work but may be too aggressive.
What you can do instead to censor, is to resample those values conditioned on not being one of the forbidden values. That will destroy the information and make the fields reusable.
In practice, this is often not modeled, instead replaced with e.g. the most common alternative value or resampled from the empirical distribution independently; but even just a simple model seems sensible.
That is how you can deal with the categories but it extends to all fields - do not assume there is not leakage elsewhere.
(Note that this also gives you an obvious approach for if you want to make predictions between different points of eg a sales cycle)
(Ofc the above is still not the right way to model - usually we want to model how some intervention, eg which campaign, influences the target) | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKb3I0SDZia2pEUkRGYzAtLUR2dzlLbTV3ZmkycnJMcHJOZ0ljcTYtakYzUGpEY1ZQNUVEWTFVRjhzVE5iYUF4UHpTYy1ScnE4TVdNVFA1Q2RHbDFfb1E9PQ== | Z0FBQUFBQm9FZ1VKbFFMaDZCbF9QQ0ZpM1dzYUlzOEkyZkZQcUNIUkJhUENRbjhvNTFiMWcwS2JNV3QtN1RUQnh1RjNUM0NFb2JDcXhiQkpxcnBmZVFENGlMc1k5SGdvTkRYbEVLbWtlSjFocG14SEFuVXhvSXdLeGliUm42R2YtRW5SZEJkdjdjYWhFSWo2cS1pTlA4bXVvdVVWTnlDSjNmV25WQXBnLURFenY2WmV2UzNiTTVqM095d0tsYWRVN1hoNmNXTkplamx4 |
A few things:
1) LLMs still need evaluation for a given use-case and this is not always a trivial task. In fact, it’s often pretty hard and is completely ignored.
2) LLMs are great as a rapid prototype for various NLU tasks but ultimately if the use-case needs very high accuracy, explainability etc. then you will need to have dedicated models in production.
3) Any problem that has numerical data should be solved using appropriate models. There are tons of text-based use-cases but the quantitative ones are still there. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKdG84TzlvTXdZbDhiZDR2dkNtMVhNR01xLXdPMWFYWE5ESHpOcEVyeHkwMXFJQ0E0SHpJX3B4TXlqaDNCV3dmZ3Jwa2wxOUNYelRLRUpnOTBnaDVRRXc9PQ== | Z0FBQUFBQm9FZ1VKc0RFb1ByTTItc253MUVqQmVMY2xKRkQ2R3h4WmlEa0JaYlphamM2dV9EM3dabFN3T1MzQkU2WnYyelVQQWZDaXBJMmZkS2htMm9jQmZCM1JYb0JGZUxlVEZPRG9UWWlNRjhoTHEtSzhtT0t2Q0xqV0JBcHV4MktXM1ZGbFZhdV84ZkVKTkM2UEZ1M3llWXF0dTVzczZMX3c0ZGNlTkJtbVJ2Qmc4OGt3WmswTm04eXJGWXlkaEd3UnZPUG9JYXVLOXhmZF9GX3I1cnI1bG40QU9vR29FUT09 |
Definitely add SDE projects to your GitHub - I created a simple web app that showcased both frontend/backend skills while incorporating some data analysis (employers loved seeing that bridge). The interview process is different - focus on data structures, algorithms, and system design. I used Interview Query's peer mock interviews to practice explaining my thought process, which was super helpful since DS interviews are typically more analysis-focused than implementation-heavy. With your CS degree and 2 years DS experience, product companies will definitely see value in someone who can code AND understand data. Good luck with the transition! | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKN21STGd1bzFTTE9kOVZkc3F5WUxrazJPLS0yVFAxdzFxaGh0dzB5eUhOVnJIemxpQnVWNl9GbF9UVGxaeFQyenRKa3lta1B0anJlM3dzUzhXMDhDTVE9PQ== | Z0FBQUFBQm9FZ1VKRHgyZ1d3TE5iczd3aTNiY2tJN1hTTTh3UW9MekJSQ2UtY0NGOVBQWDlnSnkwUHA5czZkSGJ0YTRMMVJmeUtoSmQtVlFHRVJzRWJPbklQRF9OYkpYcW5RUm4zYW9lVnRueDdRbUlxZU1TRnMwY2EyT1R6d05adGp5T195LThiSk9hLUNiaVRKMXdNSk5tdEh2OThadmthR2ZMQk80bWp3dnZEY3NIX21KOVdXbXFfa1Q0XzRiWWt0eUw0RDdsT3hY |
I think there's a division happening now between building ML models for prediction vs using GenAI models for automation. Would GenAI models still be used for predictive tasks like recommendations or classification tasks? | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKd2RnWGRqODBUQ01uRG1zY1NVb1hBajJIVUlKWmE1WFBfbmtzQ282aXVXdVFOY3J6UjRidHdwOV9Rdnp2dXVWMUdPSUZ4VlZreVNBZlkwTG5EUTQ3MGRPVldrY181bUNqVHFOdmpJV25PczA9 | Z0FBQUFBQm9FZ1VKSVRqNm9DdVZlVVphbEZlRHIxVHJOM0ZsZVJOY3M3N3h5NTJJOEhTTmhZWVJxeDlBOGtpLWI2QmFhU3ktUThENGF5N1N2N21aOUYzOGwzZ0JqWXAxc1NPUldHM2pHRW1tdVZ6LUs2UFFIaHFQYlc3NG9HVDhhLVhaTmhYekNYLVJ2V2xfNzVicWZMWEtXWmhmVF8wcXBtMWdzTGphU1llTmNXYTRjYThoRnVtcWpWSUMzT0hNTmtyeFBYVGtMQWlvbzhZaThfSTBxOVozbnBQVGs3ZjNjUT09 |
Thanks for the motivation | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKOVNIYzFxN1RRV1dtMmU4NmxxY3lUd1VxeUFJOTI1Q0paMk5uSUtkNklkSGlHNlRlY3kyU0FKX0hQTWdUcXZGV2NZU21PRE9PY3FwRVhiSUFlV240em5WVS1xQzB3cjlSczlNOV9ydGZYZ0U9 | Z0FBQUFBQm9FZ1VKTURkM2o1cGZyS1F3TjZLUzRFSmVvWWZMXzlzY3FmWmN0azU4bkNCbzBGdXVQSG9QSlZkNUN0OEFKMVlPdFE1bG5Kc3U0R1BjWFROOWg5eGNpdlQzbTVHV0NCa0pXZkNJd0NUZ0JKZlZobkxuV2k1clNPT284cjZXTG5nZkthdjdIUTZpNllIVUd4WkRLLTY5V0tfX1Fnb283TzU2bTdJMWZDMGVGdEVPbXFJWk9ZdUs0THpMSTZ4OXN1eERmTXot |
Atm trying to do some kaggle challenges and yes its hard. Because i switched from a modeling role more into building LLM slop . | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKWWNWaHNGLWxlVG0yMF9lV0tLeEhsTG9aTmF6MW9pTzRIcGNKNXh1U1FCNUx4VGRKNjdvd0I5Z1RXb0luQndkUDMyeVZBMExVOTcwbEJNZ0dBU3R3MEE9PQ== | Z0FBQUFBQm9FZ1VKbXZWZEc5aGxJRjNfM3M1eE1DN213NlNneVdjQ1RNcnlvWFRIYjdMVW5zRDFqMTRyMW1hS2wwSUMxdDg0TU44Rm9qZWlfU0tQVGwtNjhVUzRsYmhhRW9oVk5tQmI0eFZBS1AxV09FbWlfbGZSY243QTNZSzFQTUMyRHFJQjB2RXlBR3hkc2pib0xIM2xESjBBaTI0TG5JOHc5R2Z0cHpMU2hTOG5Jd09TMEpUamVTZVYyLXlCRVo3RWhKZEZBRzdsTjEwUy12VE1Md0VncnhuTkwzVXk1Zz09 |
I like that | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKQkVSUW5VeHcxM0lDYkxPOWdQWDh3YmNvZURwcExEaXhsOEU1QlVnUTk2T3VFcnpxRXNDTGFpMjFobWVLaUlpTjJMemd5VmNiVGNoaGZITjBiNVRfNkE9PQ== | Z0FBQUFBQm9FZ1VKSE84cDRUeElTRi1fMnhhdmhEMEdVNzlzZ0YtWTRINEJfV01rd0ZiX1Q2MlZrYWZpVjVVbGpyUVJPN0IzX1hxc2Z4RVZ2UDRxUGVMNkIxcFRWWU10djBrc0hBQm14Ql8tamptN3V2TWpuS1FmX3V0MS1wb0dqSm9yQ0RaeDZoc2huWmYzd0szQ1RXME9IRjJNQ0tKbDI0cU5yLS1vcTNmdlU1dWJUQk1mSi13RDl3LXlMSkYxNEdOOUptdTNRdG45UzJGSTdWV053OEtPRDhmdjJXczVOZz09 |
What are you specifically proposing re using the suspicious value if we do not have timing data? If we e.g. imagine that it was a label for conversion, then it would generalize to unseen data, if the the input still contains the label for conversion? | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKdUdUeGVLZ2t0cXU1Zm5xbVNFSmk3a2JpLXhQenJ0dzFTb2VrTGdETGNabTlHdmt0RjNURXNvdzB1R0gxSFl1cTRXcFluRkxHQnlvZmdhRTY4WmwtVmc9PQ== | Z0FBQUFBQm9FZ1VKTjdjV0lLdEFBV0FCSldyNzF4czZDNEtOV25pTmg5LWZxNW9YSnVTaUJqRmtDN21ZdUZFNVVSWEhzbUd3YnVDeUdmU0owSXg3NVNaaUt5MzlCbUVocnQ4VVNHNllabnlrYXllN3dqdWlvZVBQVVZpRVg1RXVULXdjbWN0aFRub3VadE1keXFTMlUyeGFmQ19tdkRjM1pZTUZ2bnZrMHdoZzFiRWFUNkNNMDJqQ1gxM1hqZDdiM2FjNmhZN09YaTlU |
If you have an evaluation pipeline, which is always step one in science anyway, then you can chuck together an LLM solution in a very short space of time. Does it hit your performance constraints? If yes, move on.
That's an oversimplification, but it's basically a small step up from a naive model. If just asking a question with a bit of prompt refinement gets you to 90% of where you need to be, how much value is there in paying a very specialised professional to get you the last 10%?
For some use cases, a lot of value. For the vast majority, "good enough and move on" is the norm.
All the principles of data science still hold, the only difference is your "algorithm" is a foundation model + prompt + config/potential fine tuning. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKUUliZEpMOHBIZGFzUjQzdU0tbjItUkwtSUVQckhuZmtLR3VKRXFxSVB2V2stNnJpd1pIR2wzcXJoNWFIWkxfZW5ISVZxVGw2VVExMmhmWko3YXhjZlE9PQ== | Z0FBQUFBQm9FZ1VKM0w3dTVmeGRGNnROMFprQkZZc2NwTUhOckxJNTNKdVEySHBaWkpmSW5ueC11amh4VDhSdG5OdmZmTHhQRG5EeHlyMHZRRlVRQWtwNnI0cjdKa3ZrYmdwbWRXRWVQQnVJUHljN29Zb0hDUlA2NDFITEtEaTl0cW1XTUw4eTc0eElzMzdrR2NzSXY3VnN3U2RLOGJzVFZJWVhOQzdkQi1IUVRfYS14d29YaWI4NFBDMjdNNlVUZ0xETFVJNnJCWE9qaGhvWHUtdUp1cVd5UDlDQlVVanVJZz09 |
That feature probably isn't leakage, but it also sounds like a really crappy feature | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKenhvTUZQLTg3UzdWR1JDYmtXSHpQaGxXcUNOV3RwYlV0QVJTUEl0TEs5T0NhZGFzRmIzaHh0aEV2cE1LWGZCOEdMYTNNOUI1YVNrUjcwazlYOWx6ZUwxZmlqS0dkRXI5TjhvSE5RUmFFSHc9 | Z0FBQUFBQm9FZ1VKa2x0WUNHSXhhVGozamJFLUVDV3hyamFNSFA1OWRCUFlPTmhKWGQxcDk2ZGtmYzFyWjI3c2wtWlAzR1J5c2JfQWdGdEJNamFPT2hJZ0U2WlBCT2wtem5KWnptLV9tZHZPX3pfWWZCRW9IMWRYem1oT3RIRHJXenpsTExPV1FRNVdjX1FFdUxYcDNxbUY2SWhDTC1fWUNhdzVONTE1NHR6dDB0QjF2RW9TMGRYWXhGeWJjVmJsczZZMGdodjltNlg5 |
You proove a point 😂 | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKWHBrR3p6LXpoYi1nMTBKV2dxZ3FvYUR3Ri1mUGdqaDhiaDh0T1J5YkpOdGk1YUlpejZkTGNHOHBSSmM4TERnbTlmenUxdXJlZzZtNTQ0MzdMTlluLXlpQlJ2a21pLVZiRXdwaVNLV2pGUEE9 | Z0FBQUFBQm9FZ1VKcWxxcHdqMFBRd3FPdmhKRTZQcEw1Tnd2U1R6Yjg1RUhpM1hGNkpUZ1hYQjl5R1pFMXpFcW9jdnRkajRfVnhOV2d3eGEzZEJlNEFqaUFocUVxcmxWdjI0TFhWRWJ3dFQ4YXdhMVd4WmVESzNMU3NnODdJSzgyRWN1OHotckJRZzZ6cVZoaUNreVJzQlpJMUtRc09rYXYtS29SWXNlRzBxM3RTbTA5U3g5UEV6NzJFUGNlSndGenhaQzI0UHQ1cUhr |
I think there’s a lot of potential from knowing software engineering skills and enough statistics to know the right questions to ask (which you should with a MS).
AI is just prediction. It has no logic ability for programming architecture that includes modeling. Writing the code for a basic model is tedious and usually automated to some degree anyway with wrapper functions. I’ve used LLMs as a time saving tool. I’m curious what field you’re in if LLMs get the answers that you need. I’m in science, where I feel is less exciting for LLMs than say marketing or customer support | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKU19PcFpEb2VxVXZJanlqSThPWG9RMGJyQmVFeFhBNkgxRDA0U1VfSGhNaUU0X196NXk2OGVQcnBlV3NqVFVUOUFmSE0xVXZ2OWxFZjJRQWdsQnU4Vmc9PQ== | Z0FBQUFBQm9FZ1VKaDd6dWhYQVBFVm5hV2lBYXVtbVR2M2lyZVBsNUlEQVN2djRCZ1Z1NDNza0FzaC1qS0c4Qi1nYi1qemFNRjhERWowWjVnSXhYMWlwQ0FXdTdQTl9kTGVnNFBNdmUwWi1Xc2VpS1lUVjd5QnoyMm15cldVZUMyUnU0VlhOR01vcDhBYlM5dFlLNG1CN0pFNjZzYUtPa0NfMlZNaHdJMGdJSmJubkhwaUlVU25Da1JQcDFpRHZrQVRKNE9WMUVYRGhMRlE5LUZjdTRja0dLT0xDLWVUVHJPQT09 |
We input a set of lat longs and get the drive distance and duration. I think you are talking about Geocoding which we do pay (Esri) for. But, I believe there are free alternatives maybe thru the US gov (if you’re in US). Nonetheless, geocoder is the term you’re looking for I would Google that and see what you can come up with. I have not used ORS in that capacity. Hope this helps! | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKUGhvR2lXWHJ1Y1RjeHdyd0tpS2JwUFNqTmRDbjd0YmJOVnJSeVpzNUFrYTVEX1RmWl9ueXE3OE04bnNnejBWT3B4NWlrQU5GM1A2Z1BIc0lSb1FmTHc9PQ== | Z0FBQUFBQm9FZ1VKd0s2SFpYZWFyVmFUY01CQzlrVS1LNkdXMWxwVVdTVmNZdWFwYWVHUUFIZUF0dEpIc0F5NE1Td2diTHBJZHN2cEFLQkJLTGNoUU1kcENIRDVHR1RuM05XemZ4TGllLV9nX2k2N3dzbzN6aFc3RDdRekZyN2h1OTdkUmhPandOc29DQ0Zicmd5TDl3MDNnU2piME5DVVNoaUlsTzYtUnR5Y0VNRzBNdXpvbmRucDZ0dmxUV2ZOUURmenhDSUpOQ0RZ |
Thanks for sharing. Indeed, I was also thinking that setting up a robust evaluation framework is an area where data scientists shine.
I don't work a lot on causal problems anymore sadly, my company totally shifted the focus on unstructured data processing. But that and forecasting seem to be the two areas where traditional data science is still much needed. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKV3pJUldaRDRRZUlGS2NqdG9URkFydlByRVV1dDNPRUROMlltV2Z6Q1pCbGYyRGo1VVJhdURVdGU5VWY0YTNELVhDTW9DQlNmM1ZNR1VISVk1S2tFV1E9PQ== | Z0FBQUFBQm9FZ1VKQmVOWDJUV2ZTa2hSVGNvWnlCYVp1RVNwWExKTWwzWktVWUFqNXZzVzdzYUxzWDRlTG9pQU4xR2YyZnFadTgzSXI3YkMtd0kxY29RY1AwRklFYVo0VkZ5ZnJBTVd4dDJkZVpuUmNGaXJhXzdlUHU4Q2xQXzFfdDdyemlnblNSLS15bkRJS0RiaTljLTdmSzRQbmZvZ2I3TGNmd1hUZEZTZVdJajQtU2lTWFk0V05zYzVzaDFXcWVKbWdTQVR0SXplaXZJYjk1cmlpNWluQmtuRFRaNFdkZz09 |
That's pretty neat. I'm too rusty in econometrics but I used to love this type of work. In my area, causal analysis is not in high demand sadly. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKd0FUX3BubHRoa2VpajZjNktCbTFZNWxwdXQzbFhkOEc2R285UGJLbXdLWThsVjJwV0ZsaHljcklzMTZrRVF4QkZUY20zU05iSU9kaEhpc29EdUVva2c9PQ== | Z0FBQUFBQm9FZ1VKMlNsdTYxcDV2VVBkNW5LeGxpNldxVWhLR0dxODAxam05ZTI3ejVidUhvTG1mMmMzVHZZMjRjRVNCM0w4X1ZMVlNkTnRmMjFJVmFDWmVNSVl6S0k1Y1drU2Q1YXlQVHJ5bURfMHFOdmk1YW9NZk9HYkZEWXRzakxsZllyeVNxOS1WZ3Y3ZHVWdUNJeFFZMTdrbGlrenhreEt2TDhrRm55cm1heENpQlpobnhiNTVscVE4MG96VjRhVy1TY3MzUmdYOEJpVDlGcUpQaDluaXlJVmR6M3drZz09 |
It’s tough but you have to look for areas where the GenAI approach doesn’t work well and then sell the business in the value of developing an alternative solution.
The challenge is that usually GenAI is more cost effective than something that might work let’s say 5% or 10% better but takes you, a highly paid professional, two weeks to build. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKLTVST2pDSVdWM1hjOGFYaUVCMnl1VVpURnJqbzlkVjJ4WklYX3BlQmRiY0EzNmhQOWdUc0NQQXlXN2dQbzVxaEt2R21KUHZERGFNeVBNVUFldjJESTB3dmc0d2t1amNzOUpleTdWQ1N0OEE9 | Z0FBQUFBQm9FZ1VKeVNCRTZqaWJINmJmZm9WekhYYXNORHVhZVJpYkh0NG1DUE5lNF9FY1dGOEZEY0lON2xvbEVFUmZKZlNNX0Y4TzlpdGRDWkUyS0hNMmp1TDhqX3VQRWFpZHVXX2Z4dFpRR1FkWlU1OWVTVzR0ZWx4MU5XYW80SjEzR2VJUUNrbmNNdnBya09RTkpxeTE0SEJvRmlVUG5WZ3dpekVLVmFhWTRpQmdSWWlGNms4U1BoUldMejNvaGRRLUFIWmk2d1kyRUFGRk44QzE3blZOdDhqbUJWNGthUT09 |
It's a fair point. Having worked on both forecasting and rec systems in the past, I agree with you. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKMnA3Nk1nWnZfUF82UEI1SExGWUs4Z1k2Vnh4d1NZSXV2Tk11dlp4aTE0M2dqMl9LVjlRVWIwXzMyNWF2WEVfeHNkcW5ybnVmM1B0aWJaRXBrMnljZlE9PQ== | Z0FBQUFBQm9FZ1VKUWNwU1dCZGxNY3RfOHBIRDJybExZa3RfamhqQVhQMEZMd2tXS0VMNEZBaDZzeWVKRHJpS1VWRkZvZGNva01fNjNTMEZsOWU4cEdNXzVrRDlIa093MVphbjFZOXVhdk1XalhJejlvV09hdlFWZHVBcWZOUlk4V0RoU25FaDhTcTU5Nm9WOGpQdnZ2RE1aRmFBaDMzY3FHZnMwWmFDVmluSTh5M3VVSG84TU15RWlpOU9kMjVKTnFuSU9HNXZkOHg4ZEVFS0lMUGpxQ081amtoSEJnWDhCQT09 |
True, I was also thinking that sensitive industries/sectors that cannot rely on off-the-shelf cloud services will still need the full data science skillset. But these companies also come with a whole lot of constraints ... | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKTXc0U2tRUHlXRzA3b2FZNGE0akp0d0Q1OWxzVnlSTUNCOW1kX3FJOU5xRDZuOXA1amRoTF9QX3ZmeFppMVdVN3ZOMmhIeTJhUFdJazEzSUZ4aTVDYUE9PQ== | Z0FBQUFBQm9FZ1VKejJWNlFDWEpBbDY0bFJpQjhrYTN3WE9wb2NXT3cweDVodno1dFhCSjA1YzVIM3lkUFFfMzdVd0ZPWnBaX1hPT3ZPblFVTkdrekhUVUsxVmdDdXFsRkFSdDVNSy1mMkNnMUx5VUFRVWZoUVJWcFVQS0RXZ1ZuVmo0RGEtVEU0UjZucGpRdmp5YjZQNU1pdDBmMlowRmJRS3VZU1B4V0otR1ZORE1PczdoT1RGQXU2Yy1QZkZaSjY3anZ6QzBCak1aNEF1OHM0N1RMcjVzT2lzN01Qdll1Zz09 |
I work for a tech company, with our users being in the industrial sector. Most of our data is unstructured (text, images, documents) and LLMs shine at processing these for a majority of our client's use cases. We do have some tabular data that can be used for time-series forecasting, but there is no interest for more advanced causal analysis. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKYklKRUJnQzFqdmhxMnE3T1AwRlRzMVRSTS1TYjZ1VGRBazdxQmljSFdoNW5wMTFnWkhMbDZTYk5jak9BY0hVUTRRd25pSnNpQnMzOFhTbXI4ZUNsQ3c9PQ== | Z0FBQUFBQm9FZ1VKbkIxanFTTjlZS0dSajkzQ3d3S01rTnFDTmNyN19QTzRWMmRjSlEtSnVMX0lBRWtUbkdOSEJoQlRoM1hQVTVUVkFHLWRlcFVRX01zQllxWU9mVlk3Mk5yTk12aUJfWVhKa19GZGItY3I4bDh4Z3pCVkhjdUY0d3pseDdXUmpLMWZ1R3pUc2o3UjFaQWtxUmU2NWVLODhsVzRCd1lId3l5b01ybVhZZTQ0Uy01ZkFJakNjLWpfaVJ0bFdlMWVHN2gyZTM3ajNOZ3ZIa3FtcThCbXF3eDZ3dz09 |
I’m here for suggestions because I’m in the same boat as you OP. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKMkJWVHI1MHIzRGItNHpIUEJqWmJqcmxibVB0QmZJNXRYSDNaNktWM3VjWGFCQVBtUTBCSlVDTHpvLXpwdDBma1B0MVlXY0hUY2JLX1dwNHFXRXlPcWhHQ2VHVEV5OTdtQVNGNVoxTjNicFU9 | Z0FBQUFBQm9FZ1VKdEtrYjRRRFJSSWttQzViVGVJLTRLNnF1LXpiTHE3V1U5ejBRbDZaR2t4T1BldHhOWE9nc20wTjRvX28wRU9Ec2kxTHNBcThFY014cEd3dmZDNVpRMkVDTGhMa2lWbElwQ2J0d21CN0ViblFJdi1iT0w0bzI4SDF5ZHhFWTZrSEpWY1c5bU9XM2RvRVBLbTFzUFJwY0Mya0NEalpJaklfb1JKNTVxemV4MUlacHRNNmQ1MlBqd3VpQWlRZ1Uycm1IRnBNU0tCN1pMSjNVMVNzRGRzZVJ6dz09 |
This was my experience at a tier or 2 down from “FAANGMULA” or w/e | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKZnBfQmllRldtQXRhSXlfX0Nsci1DYmlCT3F4WWwwRTFxc3NlWEwwd09HRFZnYy1UT1QwOURldHRHd1piZXItcHVSc3FaY0NVUVVjeFBOdEo0UnR6ckE9PQ== | Z0FBQUFBQm9FZ1VKRUp4bDNILWM3Z0NDZndjdUJTNlNDMkpyWXVMMFoyRFFkOTlHXzk4NnFTQ1JtaDlfeHdLbk1fNFFXd0Nxa0NyN3RIS0pSUVdYYkVOejRvTmk2dTczZnR1bGdvQks4ejh6THF5WWVpdTZjaHRUdFhvcERvU2c1QmFIaDBsZ2VVYTU5Zk5YMVVTZE0tTUhoVnNKbFBRSGVSeGMtc1dLaGlraWktMnluaUFEam5xV19XTG9WVnNfR3p1eERyVWlJSXNhQmtILUM3TDlpcUpKUnFZc1NIQ0tzUT09 |
Ngl it's not 10% at this point. It's like 50. Automation can't fix organizational flaws. Only data engineers can truly direct projects. It is a management structure, it seems people forgot how much not just tech debt they're incurring having un-integrated solutions, but how much management debt they have letting nuisance "ideas people" try to play by compute limit expert rules.
The data science you're defining in LLM solutions is just the labeling part. That's all LLM does really, labels. Now why would you give highly efficient, aggregated, but structurally deep data to someone who plays with excel?
It's laughable when someone supposedly expert uses the most black box model possible, and you ask them their precision and it's 70%. While I get 99.9% with basic models and start doing the hard work which is integrating solutions and possibilities from stable metrics. It's not about having the best nail it's about who swings the hammer. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKQ09CajlYaDNHcnd1czYxR0dkal95NFZjOWFCb0RSQUFaSHUzRmRZN2FESGxzMWNYRkp5LUI2TjVDY25lbXRRbDExQzdva1lGQ2luYmVuY1NjU2FxMGc9PQ== | Z0FBQUFBQm9FZ1VKazBzQmhQVEYwZnBQNjRuV1FVQlBtQ2pkOVU3MVJmMTZCTXk4bGRyVXNRZVVuRTJZS2hfelppSjdjUkpYTzFRREVxV3BkYVBFWDZxVC1BdVMtM19BX2EzNTN0OEdOMVpjQWpwWDUyc0pRSjBMNldRQ2ozZXVHSVY4QzJPaHdMV3RDem1ORjBZM1oyRy1uNU9Rd25Bc3JQcjlDdmowSVdkRWZwRWZGNVVjdkRwSWlTWWI4WWk3STZTVWJKT0Y1eWl3QTJPRjN4YVhQU1NDTWtlRHVfU3pmUT09 |
"I'm curious to know how you apply and maintain your data science skills in this age of GenAI"
Honestly, I don't. I spend most of my time doing data engineering. It's okay but I'm far from passionate. I'm considering moving onto a new career but I want a wait a few years and see what happens with AI. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKaVBNWE53TVh6OVhvRWdqT1VwLXBSbFhCWXRvVF84LTNOR3NYalUwcmpQNkNTSXJDUE1sc0t0Uk1IcUY2ZmRLaUtHUEdNeG1hWEVQb0pGSTV4aUJXOW5Bdk11eTV3UjlJNzU2SkV3dm5HblU9 | Z0FBQUFBQm9FZ1VKMXM2c3dCc2RfUWlWVy1OVjVOVFZhdDVjSnZCZlJKWlFtcTlkbVgyWkowekRwbU1xYlIycmF1d2Zucm55c3FEbEFzeU5yZGoyNXJUOWt2UzNJcXVnX3ZjN1ZENl9YOW1UVU1fM0hXY1N6MkdpaEp3VTJrQkNYalhoQ1lmRnBMVTliMnBVaS1IQ1owZWlDdU5ZOUJCeXFJaDFwcEc3d0I0ZzJoMHFPOGF3dHloYUc5OHNTREZQVDB6RmtUZWt2S0RFbUlvZkVKc2ZGZ0g2U3ZtUTlXVURZdz09 |
Not OP but for me DS skills means critical thinking skills. A lot of tech is do the thing or figure out how to do the thing but the thing is already defined. DS is more open ended and undefined. To use a poor analogy, tech is like make me a burger or make me an awesome burger. DS is more like make me some food.
I fell in love with DS when I realized that we can use math and technology to better understand the world around us. All my tech work is about completing tasks. There is no discovery or learning. You learn how to do the task but the task itself isn't learning.
For example, the restaurant chain Chili's discovered that 80% of their french fry purchases were regular fries and only 20% were curly fries so they discontinued curly fries and double downed on regular fries. Sales went way up. I seriously doubt the CEO said "please look into french ratios and report back". He probably said something like "find ways to increase revenue". Everything after that was the analyst using their brain. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKNUNfT3RlNDhaSXBLak5YNGo2d2dYYjl5VW1KODhfbzVia2Q2dHF3UjdaYlNVTnZNazBkNExpMjVnUXMzTjZKc1Z6OGFMU0JOdlZMd195SjhrdERsSlpQdm1ZUVp2ZzBXNkEwbElNel9OcEE9 | Z0FBQUFBQm9FZ1VKdndmSEo4bmZHUGJzcW5qei1mMlFBSmc1b3ctU3lQRXQtOG12bmp0XzNpcjFzOEJKVi1TQnhIeUVDZmlZRDRsc2t6TGc0V0hHWU9iSkdiZE5PcmJlNFlCQ2pSU1J4SGtaV2QzNFVaTG5MN1JNbkhkaEpibng4bW1Eb2c2UXVLNXMwQWM0ZmZKTlJFc0lqVXVLV2gxeE1RMTVtRjMtWllrUC1BNDRTNFpFa2RPaEhOM2t5NzU1eWw0RDNnODBUWm5FX0lzZ19McGFkNWhhaTlPQS14M1ZlZz09 |
I don't disagree. The reason I ask this question is when I read OP's post, I read "data science skills=model building" which has historically been like 5% of the job. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKUTk2WmFNT0M5QnhpQ05qLUlrX0VSMUtKaURDeXBucW43T0dMYjFFNy1hZHpMTmxobWFzUjFiMkRhclZYem03T0Zmd21KMVlxTHhOOFVzMy1TVkE1cEpLc1kwOWc3alJwZEIwV29lS25SaE09 | Z0FBQUFBQm9FZ1VKaHB1X0RmMVZma00wUVMwV2o0cWo3Z2pPSXl5QjBFa21BeVRCaVN3eHZEa0pjYXVmX2l4aDdLNlAwYnFNTF9YYTRrZHJ4OXdSNWVnZ0RDY25zSXRZclp1VGpBOTlaVERvTEV0bVNmMFA4V216czlVdGpUSWpuLXBBRXZmR09nVHF3aUVKU1dUOC1BX3NMVm1ON0Nfc0VWTzNRUVZsby11UXVpZ2dSb1g5Q0k5Y3JWWDZmdU5UZGthZUxoNVY3UklncU9Sci1TRXh4bks3MjVvYkh0Zzh4QT09 |
I think this is mostly relevant to people focussing on NLP. My experience is similar to OP's. In the past couple of years most of my job went from training models to building backends. :( | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKdi15aXgwOFZ0ZlB2amx4NnhFZzh6X3JBUlRVazhhRU52eWVLcUxnaDFvd0ZXN0lVS1Z6WFBoVHRpc1k4NGdZZTVZVWd6R3BJXzFUMGJCcDl4UzBwd2c9PQ== | Z0FBQUFBQm9FZ1VKdzN4eE13Q2xZQmVrNHJhQ0FFcUxOdm82VVRobWFmcmdhd1FUc2RRNjhwTXQwQ0gtVEx4ellSdmQzZEFlZ2FIZHhCTXR4YVk4elljS1liUDF1MUFiQXF2aEkycGhXN1pmMTd4MVRiWmtTMm5KQTMtMGtyUFVaQV9NNW5tODVUbUk2aW15UF94VnFSR3lxNGxRSHp6cjFFX1dIaGxwS05wOVZDdnRwZE5ZcHF2Tm1OekNFUHg1Zmo2T2UyQmg1Q1ZUbk1xSVhMTXRFMDV4T3Fva1c3akU5QT09 |
Ah, yeah that makes sense | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKeEVYMmxtWW56YUpSV1U5ZDhxZ1ZPVkZJYWF2Q2JueFBUSEhyemxENVdzWENpeG9jbXFHczBPNkcyX0IyX0tLUjJsY0FRUlYzT1lYUjJndThCbS1HbEE9PQ== | Z0FBQUFBQm9FZ1VKMThBR2dkUXlGYjk0N0ZpV3g2LXlOLVU5NHZxYXdYVFlEeHhQYlNGcXlXREV6cFZVVjFod096UWFkOWtCcVREZEF5WTBhekxJVzRXOU03bVRfV1dXbGJfLWtRd3dVY0xsWDlhVHNQZm10bzRfbF9KNVRlZlB4eGtkSEw1UG5sZ1pHNDR6anBjWFZBMmxYSlRiYldGWEJNT2FtMVhsbHVpaVBZNV9acHBKblNDNGI3bjhUSldidW5vZmJDRjY5WThIUXRwS1NSTDZpRFpFLXEwSXc5T1RDZz09 |
Sounds like you only need the prediction results 4 times a year and not daily or weekly real time so batching should work. Build your training flow based on business needs.
Use version control (Git) for any versioning of the model/code.
Do yourself a favor and build yourself a dashboard of some sort that monitors your model/performance and any guardrails you may have | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKZjVZaHRXVWFmdTU0dW9SS0RfbFpaTHJqSkFfekdmS3pMR0xwZXdncDRQa1F4RlRHeVp5NUdSUDIxN242X1IzTXdEcEFBSFVTc0VaMENWdWw1RWVFWEE9PQ== | Z0FBQUFBQm9FZ1VKbmZnMVM1Q2ZFMzM4Z0o5UzdycU5POW53WTB5LThQejk1VzlFbWpiVXh4b3dGaW5SaTdOa3NIaklydkpsVXU3LXFfNWZJbUdGRkdJQWU3THRoaDVtdnBxRnJzRnNYZ2c3cktLcjBIRF9YWktWZFk2RkZLdDRqVVFISllMQUJJaUgxS040aHlpaWlKcnRCOVFyWWwxZm43UVdKNV9EQXlDRzVURDRreFNEUkk4VkVSWWVYZ3AzQm9qTm1HZUdhRmdiRXY2cjdENWd6bFgxWkthWDZwc0xKUT09 |
Is Activity = Conversion the same as your target variable or does it happen to be called the same?
I think applying underlying knowledge of the data and the business can help guide you here.
If Activity = conversion is the same as your target variable, I’d consider whether you’d be introducing bias by removing rows where Activity=Conversion | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKNUJUNVZLeFZoZl9NbW92TWktMjZvQnB5dEliZ0M2eGM5a2czemh4VU54MTNOVXZBbE50M0VsWmltVTJYRExUUFdqcjdSbF9CM1VqWHk5eFlRbEE5eHc9PQ== | Z0FBQUFBQm9FZ1VKRVJ1ZUJ4Q2xMWHpUMG44dFZOZGZWNXJGMGgwX05oT0JkVlctY0xjMHJPUmF5NkoyX1NMblhudjhRWXduTE41dWk1MFJ6eVl6VlhCQ2QxU1ktTDNxbDE2UW1HUjlzekNZc3BMc0Q2dHFweElMM0tkaVZCRFNadlEtdENQTnhkcU52UElfS2I1dHJJb2tGUUYwX29LWkZ4NDZ1Vno4eU9kMXo5UEhVSHhKeG90M2EwaHNGcms4RmR4dzhPcXd4Y0tL |
You should version control your trained model artifact. It's inadvisable to put files over a couple mb on github nakedly, but you can use github LFS or S3 Versioning or whatever your company has in their tech stack that can fill that role. In production it's important to have the option of rolling back to a known stable model, even if it's stale, just in case something unexpected happens with retraining.
Before you settle on retraining monthly, you should run an experiment to optimize your training schedule. Simulate running the model in production over the last few years with multiple retraining frequencies. Is monthly actually better than, say, every 3 or 6 months? Does accuracy decay as you get further from your last retraining point, or is it more stable? Should you re-run projections more frequently than you retrain? If you're used to the sklearn API you can employ GridSearchCV and TimeSeriesSplit, though it's quite reasonable to implement it yourself.
In case you aren't already, with your target sql table, if you're projecting overlapping ranges (like projecting the next 3 months every month), it's a good idea to add timestamps and a boolean "active" field, set to true for new projections and flipped to false when they get replaced.
I was until recently a one person shop too. I've found that LLMs like ChatGPT can be super helpful for these sorts of high-level, structural/strategic questions, especially if you're delving into a topic like MLOps when it's outside your experience. I ask a lot of questions along the lines of "Can you give an overview of best practices as regards {thing}?" or "I'm working on {problem} and I'm considering {strategy} - is this reasonable? Is there anything else I should consider?" | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKMEt0TDI3MWdERzV1b2wtU0ROMWRVbzJ6UUliWmpRdmZ0dFRLdFRoRl84STQ1TURxZ0l1cnk0WGV1aDVuYURBdkUzVkZEUXd0OVp2U0RhUmRlTUVSN3c9PQ== | Z0FBQUFBQm9FZ1VKZ2JEWkdMdGVtZHduWUpsZ0VDa1lWVVdvSDlFTl9halpHYWhKbE1oSmp3TjFsbGFtZ01vdEVVMjRvZlhMOU16aGo4X1VzX2tOZzIwSFBzR1RsalRlaWN6dmh0MHJMQkx3RERwaFluTVNSVm42X0JaTWgxMGp0VkEya2drUTgweWlIenB6VmxmTDhZRy1vV0JNTjgwNFdPV3JvUmNKQllYdVExM29ZdGJIcVVod205cDhGVkRUQVdsTGhtV2FWR3poRld3bHRoVno0TkcwUUQ3VkpFdGZSZz09 |
> LLMs still need evaluation for a given use-case and this is not always a trivial task. In fact, it’s often pretty hard and is completely ignored.
This is honestly such a great point that I feel is overlooked!
The process of choosing the correct LLM model, the correct prompts and workflow, etc.
These can almost be seen as hyperparameters of your model training process, and you still should have a robust evaluation pipeline that allows you to optimize your overall pipeline on your specific use case.
It seems like many people just completely ignore this aspect and just use general gut feelings to choose their base model, prompts, etc. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKWXBhOFlHMTRjQ3lCY2ZYMTlGSVFRODZMWWxqQTNfY1ZoNDI5NFFsOE51RVNIWEVsc1BjSW5faEdyT3Q3TlF2TnBLa3EySVdscDNCeF9pYVZqcGNXV1E9PQ== | Z0FBQUFBQm9FZ1VKd2VMaUF2YnZUMU9TazJqXzN3QTRBLUFYMU5HT1o0T1RGcHBwalRVLVliMDBzeWE5eGhwZlVIZ1BQaDFMd1BZWFJpZk9hWGs4SUN5M1FrVDhMN1FISEdoSzFLb19Bc3BYQ2dYYlViU1hwVTFWRVcwRnRKaTZzc0YyQWVZVS1CY3ZiSWlsV2JGQ2hjVzBnVElpUGdnRThJQnNmdVZOMnVXMUJYNXlFWlBaQkwzQlZZQlRDVFJMNkdxNkl1RkhoTjlYbmpCQTRuMFhZaGNRanhHMkhmZi02QT09 |
I'm a big fan of vscode for python development. It's made by microsoft but on top of an open-source foundation, so it's both free and robust. It integrates naturally with github and has extensions for pretty much anything you can think of, so it can replace some other programs like, for example, a sql client. (Besure to get the Python, Pylance and Python Debugger extensions). I don't have experience with ARM but vscode does have [native ARM64 builds](https://code.visualstudio.com/download).
Other programs that I use daily-ish, that might be relevant depending on your workflow and tech stack at the internship:
* HeidiSQL - you can replace this with your favorite sql client.
* Github Desktop - it's good to get comfortable with command line interfaces but that doesn't mean you have to always use them.
* Postman for interacting with APIs, if you don't want to always do it with code.
* Notepad++, just a good general-purpose text editor with handy plugins for things like beautifying jsons. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKLUg3T0dUMmRWRE5iYjk3OWJ4cnRub1NQc05uWjN5Vm5wVDlHelNCTkgwQ21ici05QzN3eUZyUWxKZnB3N2RsN0dsT0J3aXVLRVVLV2NuWXBzYXc1emc9PQ== | Z0FBQUFBQm9FZ1VKNi1LbnRaYVFVbGdMXzRHbkhDU0RUWHhwRGhfR29lMzRNSlZWSFJMOVNmMFBXM05GV3N3UXZ1RTNUS2tmMk5KVC1kdWllOTAzVkROaHVvQ2g4eHp2R1UtMGpFdFVpNnY5T3llVFNHdlVBWkFyOGxZdUN1VUdvWVk0ZU9vTXlhT0trcThzYUxGbmZXcElibnNmZ3kwckF2Q3hRcG90U0lwMkVMMlI1QXBXcThOb1VTZDRNa2Jad3BBNGN5VFZ6clNLWjVnb2M3NzVtV1ZJdjY3d1c3eHQtQT09 |
Hi all,
I’m a freelance IT consultant based in Sweden with over 20 years of professional experience, including more than 10 years in project and program leadership roles.
My background spans operations, master data management (MDM), and, for the past 5 years, digital transformation within IT and R&D, mainly for large industrial and tech companies.
These projects have often been global in scale, involving complex implementations across PLM, ERP, and product data systems, typically I´ve been reporting directly to VP-level stakeholders.
I’m also a trained engineer (M.Sc. in Industrial Engineering and Management), and over the years I’ve developed a strong interest in data-centric decision-making.
One of the most recent rewarding parts of my work has been building Power BI dashboards to help teams and executives make sense of product and project data. That sparked an interest in data storytelling, which ultimately led me to explore data science more seriously.
Over the past year, I’ve focused on educating myself in my spare time. I’ve completed some courses from Udemy related to DS and Python. In addition I've completed three full Zoomcamps from [DataTalks.Club](http://DataTalks.Club) in Data Engineering, Machine Learning, and MLOps, and I’m now planning to build a GitHub portfolio of projects that simulate full ML workflows, from problem framing to deployment.
Right now, I’m fortunate to have a steady stream of freelance tech lead assignments, but I’m curious how feasible it would be to gradually shift into freelance ML/DS projects.
I’m not looking for full-time employment, but I’d be open to full-time freelance engagements or shorter-term projects, as long as the work is focused on solving meaningful business problems with data.
My questions to the community:
\# How far off am I, realistically, from being viable for freelance ML/DS work?
\# Does it make sense to target smaller companies/startups first?
\# Would a strong GitHub portfolio carry enough weight despite not having the “Data Scientist” job title?
\# Is there a clear benefit to niching early, either into an industry vertical (e.g., finance, insurance) or a technical niche (e.g., churn prediction, demand forecasting, recommendation systems)?
I’d love to hear from anyone who’s made a similar shift, even partially, and would appreciate any honest perspectives, especially from freelancers and consultants already working in DS/ML.
Thanks in advance! | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKRTBYX0JUS2NvT0dpeDIzVE0zd1M1MUREVDlDV18tbFNEQjNJX1JUR2NscVFJVnpnYzdtWnJET2M4WExXSFo4cHZ2bXp5QzVEUGpDSzN0NzlqamhaOWdjdDJXMzlKQkxLY29JZ1pTcUFVOVk9 | Z0FBQUFBQm9FZ1VKSEtHZG1HVlVOM0tOWl9vZllxSEhEOHRGVHg3bTRJLUhJd2Q3aU9KMXpXUjhjcmYwNFJQNjllNHpVWHBnNWY4bGViSFZKbEpDOHhlWjZkaHQ3VWh4UGxpUW9XZ0YzdzVEZ0VkTDdWb2ItSzNSY0lyWTJXNW4zN3UyelpEQ2ZYQkRQRWFEOU1ZVl9EV0E1a25HZHdVQ1dzVVNZQWVDbXljYVBJX0xUUVhYTU9nUXd6RE5OaTFpNmF2Ym5ONndaR1dfS1prUHhEdlhObGJHV0p5aFdYNUd4QT09 |
GenAI hasn't replaced modeling for prediction or statistical inference, which is the vast majority of data science. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKUVdvbU81dElyWmZNeWFRQS0zSV80YXA3cTFDN1Y0YmxjVUFHUlRkLTQ4U2hhSDI0R0YwOGltdGFDOW1rdDQxVlZ3SldTT3puNXlVVVFsbVNKM0dDRW50di1SNXZCeTROZjhxNkwtYlpCQ3M9 | Z0FBQUFBQm9FZ1VKSGFUY2sydG5WV05wZF8wVmc1Z2lyaFRrOS1yN1o2RnhaeEV0Yk55aHc3RkxEMnh5SGtTekNkT3Badm1XRFJ0Q1hzbThCdWpjRkd0aFBPT3lzdDJNelF4OVlCVUV4dVdCZkRpSXB2QVQtWkowZXFSVldpMjVXUi1kZUhud1hfY1lPRVJpNjJXQ0kwSmhDVU84ZWZQTkEtZzQyXzdUWGxnVGlONDB1ZXJIUHBOc3pxNm13aWFtdWNVYVloUi01eXhYZkVlZG1yU19yZXZPdDBIdTJkOGFmUT09 |
This is kind of funny because I actually work on this (DS + Gen AI evaluation) but most of the jobs I get called are like "you need to also do SWE Infra/backend and built all of this scalable solutions to millions of customers". And I'm like, but why don't you hire a SWE for that? | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKekFXTUdjdUU3SE5xNnNEMi1XeXFSYWlaNUN5N3Q0bUg0dnBGZ1FzZzlGTE1JQlFVUjkxM2I3Z3EwcXNwQjFlRHhaemVSYnBValh1OHBKaXhvZEsyQXQtR2xoU1U3ZzI0T1dsVnM4c0diWjg9 | Z0FBQUFBQm9FZ1VKOXIzVkdGcEQzcF9WZlZKNUNpZG1yYTZNMU5oNXN5RmZnS29IOVhuZnhpcjlPT3BReWhLdURUQ3dRSWo5czFUOGNkNkliZFRrc3pqaWw1QzgtYlBHdV9oSF8wcWw0cWd5d2twRDN1eE9mYW40TDRfMVdPSjZEWWZvWUlPYjFlZzIwRV9tdUZ0S3Via2J6V3c2a0dHWHNYSk5PMWdvM3pnRkRzTUNvS1gxcG5nOWJBd29MV1lsNzhLYVhHSERqbVF1VFdQdnNxOVhDQ0o4SnZfWDc5S0UtUT09 |
Both, like day trading but the scale is tipped a bit more towards luck with solana meme coins. | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKS1VvYnZsa1lGTUxiQXgyNXRhM2hMM0pkeXRsM1VYWkhsZF8zYVJ6YUNBaHlEVFZ3NEQ4YlQ5dEdHWGowaXFucTBmWGdfc0NGck4tSHYwUm84NUVFeXc9PQ== | Z0FBQUFBQm9FZ1VKaTM0QXB2V1RUOVZtTlRSSllHTjU0OFBDSWczeWp6VkRmSU1hQ3ozYlRfcmI5TFlGNXYtMzVvekVVNC1VS0dJbkxwMGl2LTNwYjhpYVhWR1l6MjFjTVpJXzBXTEZ6YmVOYmVTZTJueUpmMy1MV0xZZTdpZlowWHJOWTB4bDQwcFlaZU1tTl9lU1pTLURJOFJNWjZTTWVyZ3IwcmhPdHE4WEc3OWxHazVqSklYck5BVkR4cFRKdkVoU2wzWkZKM1JQ |
Drop your question fam | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKVGsxVEdUdkVvR3pCYXFLMVFoem9RNW1aUE9xVXluaWgwTXhJZ0MySlhsODdvMmw3Skx2aXZUcWJGbndzZ3VraXh6SUNaMDlKOVZhcG9XWlJDOXJsclE9PQ== | Z0FBQUFBQm9FZ1VKc0V3U0YtR0l3YzJobFZWWVlERTl2ZXY4RkF6NkdFUUQza3NuVlZjajM4NkhHLXh0QTFLLVZHbDlLSzdpNW1EdTFYWEExVWMtYkdHSS1JUlAyQ1hZbW5kVkdrUFRnWXZSQThaNU1YYnU1VDFjTzUzOHNaYlNHQWtYbVNxYmZ5RnJ1QXpZWTJ3X2wzV01KeEF4NFNQN3BXQlZjb2FuNzgxcG5uSjdpLWVmckxrS1V4dGlseVJybVI5amg5c1gtRmlz |
I’ve tried to divorce myself from the romance of most modeling. I find my skills as a data scientist translate well to “AI” work for my company so I do that where I can. I used to HATE nlp so building LLM workflows to extract insights from text has been a breath of fresh air. One thing I’ve found possible is to extract structured metadata from text, which in my case has lent itself well to feeding into “traditional” DS models | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKdUhCWUJfVUlLZkpFQjBYZ1k1NU5OT0NXYWpaaVBPVko4NHoyU2x6ZFlqbkRtWmJMaEE2TEhkWTlvb0lwYVh4T1QyWHNjbmJSRGh3VHVtN3RwbXlfd2FCWUhFSUJhaTZkVTBydHNVTVM5YUk9 | Z0FBQUFBQm9FZ1VKQVp5ZjMzSkZXcENfcXlIVnBORHVjOFBidkFvRWJfc3J6X0NZYkVZNUVIRU93QjNSS0F6al8zOWZsZ2syVVBoTjRtQlNWczJkWnp2MmthWTlWXzlHQ2V3UE5WdVdrdGRTSjQzSkZFaEowbS1xWjdrVFpyWHI1Mll3clBLb3AyeHBlNHBFSENiUHo5VkhJbkZYWHpVd0l0czlDWG1RdTEtVlZFaFIxc3gwdmZ0QlRZSDBYR2NvZHRhbmhqWHVnOGI2Z0VWNWNvUkZMTlZjcVNiZUJtSTBfQT09 |
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*I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/solana) if you have any questions or concerns.* | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKSzVETUNldVhhSTJnZkhXV19ZNjNMVHMyZXF3d21EV2NKNmdGYndsYng2YzBHVTBCU2J3aFVPWGlBcEJ4YjNZaXNBdzFVVnBmSTYyVi1FU2Z3YXFtVXc9PQ== | Z0FBQUFBQm9FZ1VKd3lYZ1NDQ0hSNzVnaVNjNk04bUtrYjBid1NodFVteWY2bkVtR01Uc2NHb1U4SFRIb3E4a3RyTWpKbS1WeS1GbjRSNlhkc1Z4YThJSUltcjR5eGxfVFdFTEpzVWNtT1NJSDRUenZOTUNGZjFpZ28xYVNOUHNWOHNxdFF4cVlFdVlnbWxCRTZWdTYyTjNFamJUOGtfX050VHg0TWZUalA0X2wtZW9mZnFsY2g5WmpEMEhiSFZfVEZydjNpNlZtakNf |
it gets even wilder when you think about how much sol is borrowed to buy more LSTs. | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKTVQ4VnZMcndoUHEyazFoTHBTdFFFcjNnOHhTUjUxTElST096Q2t1ZlVYSlNnTVduRS0wMXBaSUhpVGJIdWdsRnhjMEUybGZ6NTB4T25CRG1WMkpkb2c9PQ== | Z0FBQUFBQm9FZ1VKVE5mLTRsdkFPOUtFUXVKQmFrWC13VUNFbXpMOU5RX2N5ZUd1ZWFWa09ReFdFb2FRVVE3M1NuY2pYSFRQRG1Mb0IyeVFrOTM4cWthU3J0cHJCbzNjNkw3M1cwcnNuanp6Zmpad2dhMXNnT2JTMWdkNWVhQTV0djE2T0RQa2N3eGJSOE9zaFduRDJkUjRfN01HUl9ScE1WOThFdTZENVdqek9mV0pZUjhic0I0UVJWcVlWWUxrTEtOaG0yb2NBMlA1c0Z0MnU3RUtBdENQMVRiaHpKdVl3dz09 |
Feels like we’re doing more API wiring than actual data science these days. I try to keep sharp with side projects, but yeah, the field’s definitely shifting. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKMmhIYmRBLTBQeVc3aklBWDg1WWlIWkk0dE1DTHB2Qk85alhJMWR6YkRSRXI4TlRtZUFIYWJ5Mm1iUm1Od2lUa25UOW9MR3lhUE9CZ1ZSNnk1UVhYaXVScTVReUhFNmVqeFlJMF9lUFg1MGs9 | Z0FBQUFBQm9FZ1VKUmowd0NRQ2EtSUdWclJMUnlCbTNTNER1dVdoZ3k0X2U1XzJLaUN3cGFZMHR3SkxoV2ppckRJa245QmdmdzVGeWpYdTY3QS1zaGpnYXR3VFJkMmctd1VJRTVfbG5sUzBYZFpsRkIyV1JfLXlYRkpOSFdraTlCeDFxQU80VllQYnRrckdLMmYwelNpNzhpaWdRN3hMUzZUM3pqVXAwbGFOSHFtc2lUMmxJaVN3Zno0S3RxQXRGZWE2N0kxMlp5MjItYUJPT1k3ZkJQWlNOVDd0UFIybkNEQT09 |
I'm excited for this. Love solflare | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKdnYyRTFKRU95U3BzQ0wyU0RHMkpEUG15NEdIdTlHUVpSaGFST1RzSmNpcEo3bm5MZi1sbUV0Sld5TjZwanhiLWNPekExMjRoT25UNUFzZjBTZFZzSFE9PQ== | Z0FBQUFBQm9FZ1VKYk53eUZ2dERGMmpuYjQ1TzdJMllaUGNTekc5ZlJ2Zkt1a09EMS1aQlRDTFJNdzlKOU0wVktKdkgxZUNFQ0VjSGgzZHBId2VJT2kyb2pDUkxWR3p1TkxNNm96R0ZXcnRVWFkxejh6ZlQ1MnI1T1MyYWJWMjAzekZpb3dMSFoyajcwYllQZFJJdExVRzhuTWVhVzZLU3lZblRQY3JSR2NfclUwVUo4SXNJWHZfSDhhT28wUkJiZ2NkampzZzh4THRS |
Exactly what are doing evolving with software and architecture. The era of specialized Data scientists is over for the majority of companies. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKU0hYdmR3T2NaNzgtaW01Q21STjgtVjNLZ01URGtLZS13R2hiZ2NtNnppYlYwZG5UU0tVbklkc2NKZE1jekpSdi1MRUFQYzhReHdGOXpBc1R6emk2OVdiakVyelNBRk9YM21wdjlvbm9McEU9 | Z0FBQUFBQm9FZ1VKc204Q2FWWGs1NjdVZ1FDamRDNVQybWYxSGJ0MXB6ek9pM25BUUJEampZZ3diLVE1UVJTVGhkTTdIU3d5cW13alRqb3VfQllmYzVURFNZNTRBU0JWSmN2aVRiUG9JNHRWcjF0YnEwZWkzeEdTUmVvUDRZZmVsRmxOWVlEVk1YQVRqQzdDWUtKZWl4cW1EelhScHdWMVJYSF9uSWRBVUI5UzBlOEJiQmdMZndyVzZ0Q2JkdlZrZlpKLTE4TkxsQzVBQlJwbUNhZmlxTVpnSE5zRVNlQ1lmQT09 |
WARNING:
1) IMPORTANT, Read This Post To Keep Your Crypto Safe From Scammers: https://www.reddit.com/r/solana/comments/18er2c8/how_to_avoid_the_biggest_crypto_scams_and/
2) Do not trust DMs from anyone offering to help/support you with your funds (Scammers)!
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*I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/solana) if you have any questions or concerns.* | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKczM2b0N3WWQ4OVlOQllyOEg0Y29VMmd3MjAwaGdpcmpqS09BWXJoZkJ0VWZHREZiWEY1NXo0Zmg4ajJoeWZ0a2FQdkhyQlNzaDF4ZFVmNVhyMEdXUlE9PQ== | Z0FBQUFBQm9FZ1VKWHFqSXNxUGpDeDNhVlFnb0VIY1ZIb29RUXlaZmk2MFV5OWtJeWZ3VGhiS0ExcEdkU21NMzFqMUdqcXRidXI0bXZTTXBWTmFGMXgza2hyZUNFZGRPYmZHSldGVGlTSGNRbjNnanNheTd3YVBBVEpLMllKQXE2bjVWbEVHMmtfWUphS0hlQjJXbDRIU1ZqS0FmVUZ1MEplR1JLcHdKbFJQd0xvR09oaGsyMGg0Qmh2OEp5TC1xRnZ5dmhnYm1nSXRnYWFQTkZPdE9FV3EweVctM3g3amd4UT09 |
You mean meme coin? | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKM3pUZTQ0R0dPbmtQSXc3ZGRjME9lNHFkRW1rbjhOMGw4SFN0UTdYRGhfM2R4Z3loWmdvQUVpTG80WWJTdXRncTRWVUJ4bFlpV0pac3RmUEZFYVIzUXc9PQ== | Z0FBQUFBQm9FZ1VKNVBkV0pwZF95cEhVQWtSYjdabFNveW9NRFJNSFRMSDlnUnFHWXJOYXhnbEJmcGtGeFlXVWs1RVI1dElMZ0VCT1RUN1U3eV95RUN3eF9KaWNhanVlVUNLRDMwQVJaVFhOTmF1ZGNCRjJnQlZPdUJzNU1uLXM5ZWxadHhwcUlnbk1oMHBOQXRkVDhJa1N6c1Rlel9nZ0pmeUhWZFN0VER1clZBOWIzX2Jtc2JacjVrbF82SHpEN2doNjZiUmJaYU5Y |
WARNING:
1) IMPORTANT, Read This Post To Keep Your Crypto Safe From Scammers: https://www.reddit.com/r/solana/comments/18er2c8/how_to_avoid_the_biggest_crypto_scams_and/
2) Do not trust DMs from anyone offering to help/support you with your funds (Scammers)!
3) Never give out your Seed Phrase and DO NOT ENTER it on ANY websites sent to you.
4) MODS or Community Managers will NEVER DM you first regarding your funds/wallet.
5) Keep Price Talk and chatter about specific meme coins to the "Stickied" Weekly Thread.
*I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/solana) if you have any questions or concerns.* | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKRU5XeExUWUxRVDMwYWVSbElJeE0xYjVJT2dmZTZoYWRLemtpTzJVN0tJQkF1Qm1JSGlyVzBrQkNZeVJZUE0zTmR6UEFzeTFlWFI3M3RZNDB2TzFoRGc9PQ== | Z0FBQUFBQm9FZ1VKQ1FnTUFlMVJPc2c1UEQ5T3BudEpRWktJNDY4QzAxQ2d5RHZqZ19pbW9jNVlDczBnenFBeEtpS3cxQWdrN3RkTVlKd2l0djFjcFhlYlFlTmk2akZsYVR2R2hITFVHSFU2WFR2dmxoNS1PVDlXeFVzM05oVFhyalUxTlNiZWk2MzNNSmFvWDBFQXRfcVZ6bjU5bmp5bk1ZZ3Nha3dLLUdnYnZuTnp2T3dLSDdHWDFkdVpLU3FtUHlDOFNyNjNBUVdiODdzaXA1eXdHdUVyVmhJalV0b0VJUT09 |
Fart boy on SOL is the next thing jump on it | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKaGtzRmdrdjNmbTA4dFVSTnFNSnRxbENDUlJXWnk2TGgySlBhLWMwNW5admVZb2pxdzdtd21ETWRKMGZodzNWWjd6RG9heEt0OElkbmc2NHhtclh1Ujl2Ynd5eWhid21TQWhiM2VhMFRBcU09 | Z0FBQUFBQm9FZ1VKb2hqUHljWjV3N243MzdoRVpJWGROR0FrZDBQV0hIVkJsek1KQURIcjdEbkVVOHJuckUwUFVQbU1keFE4WlBWVGdsTTFPajhGYTVvWmFNcGNGeC12SzJWMVRZVlVVd3BaUHpLTTl2MXJBSUJUQjJSSmVLdnRfTlJBUElwQm9kbXFIUkNNMU45cTcyOVk3azhPcUJ2WU84cGdsNDRVZ3FXT1FLVGI1NnctZVB4YlAtOFNvblphY1dMQndlX3ZLRU1vZEl3OHRXNzVXMTAwYlF6NTlnQ0ZoUT09 |
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*I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/solana) if you have any questions or concerns.* | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKcjZjWDVfSGgwdm5KdF9vUjEyTWZIUU1ySFNXaWxHUEhnVlVTeEE1dEwxNlpBcTdPcXFWcWEzRkpqQjJpcjhCbHZuZGFCQkk4QU5vY0x4REpvZ3J3UlE9PQ== | Z0FBQUFBQm9FZ1VKZEU4aFhYcXByRVRLcjJpYkJ3clRWRENnUy10RkNFQ2JLdnB1dEluTXBoT0pSZi1ITFJYNnBhTHNsTVNKVVZnMWRJbjBLVEF4T3hSQXJ4ZUlaSjN5WEpUUUJBRk1sclBwZ09RVWxmbWlzQjYySTJwMktxWE41TkR2U1V4QzBuamI3THhJcDhKdnpPVDlMY1plWDBCemVUYWUxczZadEZ3cUFKWEVxN1NnWUdQX0lTWTA0a2YtWkhLZ2tJZ0NWVldaN1FwZG03MV9PNE5yTHktc2VzX09qQT09 |
WARNING:
1) IMPORTANT, Read This Post To Keep Your Crypto Safe From Scammers: https://www.reddit.com/r/solana/comments/18er2c8/how_to_avoid_the_biggest_crypto_scams_and/
2) Do not trust DMs from anyone offering to help/support you with your funds (Scammers)!
3) Never give out your Seed Phrase and DO NOT ENTER it on ANY websites sent to you.
4) MODS or Community Managers will NEVER DM you first regarding your funds/wallet.
5) Keep Price Talk and chatter about specific meme coins to the "Stickied" Weekly Thread.
*I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/solana) if you have any questions or concerns.* | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKcE9QcmZSX2swc2xHUzNEdVI2ZFctUlRtSEhfcUF1NUo3MUhhWFhsNGpBVG9oLTJIRWgtbm9tMEdpUjhPU3BkeExpRmtEenE4d21aVWppckhWMDR3cnc9PQ== | Z0FBQUFBQm9FZ1VKTGRDQmhOeldpUDlfejUyM0NsQ01GWmQta3FVQUJEalpjdVlFb3EtNkRZM0M1Z1lia0kwQkxvUjQ0YTRmYWFUN052dDJSeHVldHBwUXQtSlNMTGR1NE1XTnpOSDFibURiTWdhVk9IRGZ4ZHhFVEplcUhrVW05WWJUeHlLc3Vzc2dOaGhVQnZmUFJwZ2Q1QjgwZWRlSkpqUGpqRG5ES29tUHYtVkRKUnhhVFJSUGNES1ZSbU12SnA5U25rUjdUem54Nzlnbm9icHU1YjNWbGFsTlRjNk9rQT09 |
This is what mlops is for; if you save your first trained model as a pickle file and also save the input features then you can always load those artifacts and make predictions off of them when you need to. For the most part though, the way you are doing forecasting, you won't need to. Just move the data up so that you get recent months and make your predictions and store them in sql. There are a lot of opinions on this but trust me; an old model will perform worse as time goes on because patterns that were important years or months ago are not guaranteed to be important in the future. In fact, most often they aren't and even using new data won't overcome the problem because you would have to go back and engineer newer and better features to key in on the newer patterns in the data. | r/datascience | comment | r/datascience | 2025-04-29 | Z0FBQUFBQm9FZ1VKWGVLeWRHdkN6WURUSGp1djU0VVhlN0c5Y2dqVlVQVklZV3JUU0NMTGFHSC1DcHJQNHVrY1lKTlV3Q0xCaHlyYlRUUHVhcEdLZ2ljYjdNNi1fSzQ2Q0E9PQ== | Z0FBQUFBQm9FZ1VKbmNSek43a3Rjc1NwQ0F5T245UlY0VnFMZjVWLWU1YzhWeXBkZkFucjJQZmFCVDllLW9FZDF6WkxJX1I5WlVqRkljOTZKWEpDMkJlM2ZzTXUzRE1tdjhmVXI1UHFxbjVlQTRfd0RFdjBGamtGWGV6MWFyWHFPd05fYjRPU1A4dGRTQnRXX1RUSExHN2otenhSOUVPdlVmbmFXNjFRMFdOOE5pMWt0RC10cTAweEhrcGkwZzBFd3lMeWI0MkNWdFhQdVYxOEZzQktueU84MHNLZXFRYnhGZz09 |
So I made a solana meme coin, and I had it minted, and it's not showing up in my phantom wallet. I can see it from the chrome extension and even send some.But I can't see it from the app. The newly minted meme coin has no value. And I'm wondering if that is why, but I would still like to see it.
I had planned to distribute it myself from my wallet. | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKUU1ISDBVbHl2Q2tSWHlLeFhKanZWX052SkhKbWJJR0JMeE5WcmY2VzZLUUVBNEFKLVBPLXZ6ajVsMkpEWUpWUlFlcDRXUTVmd3otNmJIYy1heUdmRUE9PQ== | Z0FBQUFBQm9FZ1VKVy1kd3dmeDdXWmZmZVpMRXpKQnViT08xMmM0S29FOERWRjdEWUVOUzU1LWd6VzE0cHl4LU1mM3V5M1hMU3RjNW5zb3Faby1JbHNObGF4RjNMcFhMVlM1cmFFMlN6RDVza3BrSHRXX3JQM3RUQUYtRUhTTW1hNWVabUxtSEwwdUpkandRclJBdXBURTFxTkE1alNEN21lN1NyZDMta2h1ZjJKLTNYc21FMmQwQ0F0dGFNTWgzcWN4NXhudmFRdmlS |
WARNING:
1) IMPORTANT, Read This Post To Keep Your Crypto Safe From Scammers: https://www.reddit.com/r/solana/comments/18er2c8/how_to_avoid_the_biggest_crypto_scams_and/
2) Do not trust DMs from anyone offering to help/support you with your funds (Scammers)!
3) Never give out your Seed Phrase and DO NOT ENTER it on ANY websites sent to you.
4) MODS or Community Managers will NEVER DM you first regarding your funds/wallet.
5) Keep Price Talk and chatter about specific meme coins to the "Stickied" Weekly Thread.
*I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/solana) if you have any questions or concerns.* | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKb3lNbDVaaWJ6YWY0dE51UkVmU2twbEUxTjM5WEpkdGY3UndPTWh3bmRoZnFVeHlTR3lXX2dZR2ExWjFubjBvSXROZW5SX3ZRQm4yMko2RWxaQ0VlUnc9PQ== | Z0FBQUFBQm9FZ1VKRUVmdmxZNWw4VXcteTR4WC1qSkRqVUJKTzZUa0UydWpleUl6SzFWUHZrTFlUZWdxb2FRbjdIaWh6cHI4Vi1Hc0p0RlJHenJJRnhoQl9lSjJtZzV0UDFja3NFS0lTNmNzai1EWGZlenQ3akZzT29XNFRzeGZfcXI0REJqb0psb29kYlpFeXhTOVdwVTFJQTZkOWRYWE1UdTU2NjVwbTZyT2wwTV9EaE9Dek14VlYzdjVsbU9VcHQzUmx6a29wWlg2ZjljVUswZ1dmZXJnNEw5ZkJyWTRHdz09 |
Buying SOLT... | r/solana | comment | r/solana | 2025-04-29 | Z0FBQUFBQm9FZ1VKUHMtRFlvWmdEQmZUdnhRQkhuSWVGN3J1MkJXZ2Z0bXNDRE82U0wtR0M0c2ZZTDVmdFphTHVJaU14V250ZENxdFNvVnAtR19vazlfRWl0UldwNEtaTXc9PQ== | Z0FBQUFBQm9FZ1VKQVVYTmlYVzUxT0RUTDF5UHJjelV6Wk9Cby1DbTJJNDBZQ3ZYU1VGVHJiQkJNcjBuYWJWdlp5NjZObTNVZ1dScmxJZU5pemctb29tel9NMDNQU0h5TnhyVVpfamRFN1dMNUVJa29oNG44WmFNclZZZWszSjRndjVUeEVzU204NW9reFVqUHhWNUFCY1N1a0pySlpXXy1MaThXanR3cmdBejRiSjdrUHRfNExtQm9WN2xPWnNLT2FQNlg1YTFLYXRPaFhQeGdhLWVGWlRmZnFWNnRmYzlqQT09 |
Your post has been removed because your account does not meet the subreddit requirements:
- Your account must be at least 30 days old.
- You must have at least 15 comment karma and non-negative link karma (>= 0) to post.
Please participate more in discussions and try again later.
*I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/solana) if you have any questions or concerns.* | r/solana | comment | r/solana | 2025-04-30 | Z0FBQUFBQm9FZ1VKN2lhblhtUTNVZXJrSUpIeGdhVi12a2hJbjdwWENxb2V5ZUhNRTV0UEx0QWFZRkNZLUZKRHFJN0Vna1R0LXJGX3poQXl4dnlVeXpXTDgtN3JidTVwRnc9PQ== | Z0FBQUFBQm9FZ1VKeEdEZi0yQ0V6WGllUWxlMHp3UDZmS1ZIZW02Nm9pSDg1bG9YcXFMRHdzZjczN0ZfbFk1VjVrMUZLUmxuVjAxZ1hrVWo2a3llZUFQV3BkLXpIbGU4Y2VNbEJVWk9Lb0NUZ2VwN1FwZWNYNUd0WUc0UExRb3E4cUNmLUFpU19MakFwdWduV3RnRnY4aXFhRDNXd1UwWUtYNDE4XzhqdGt2NDNXa1hGYWNkQ0Y0QWtGWktRb0Q1RFdsM1dqc3V0cWJEWEVkWWRXZG15ZGVtSFhMcHp5ZmpZQT09 |
Here’s a chance to win some sol! Don’t miss out!
https://x.com/y2kc0in/status/1917318994819965006?s=46 | r/solana | comment | r/solana | 2025-04-30 | Z0FBQUFBQm9FZ1VKeGdZSGYzYzJiUWxHWWc1Z0JtNXV3UmJ4TllFSTFYbVZ3UVBub256MWZBOGdIaHVtTG44V0dfdFNGWjk1Z3JLVkEtczlCTEdQaFZ4UWFROEtEQnB6Nmc9PQ== | Z0FBQUFBQm9FZ1VKRUxqZHpHSVo5dS14d1lxMFp0LU9xMmk3bU1XLUhCMU5LMEJkczJSM1h0dU45cndJbm9TSEFHbjJUSmhrcU45dzhpeWxpZEFzNmNpdkt6VkZENmNSeU0tOGNzLXFzZW1VZEJuNXJjSVpISVhETHVWcXJKekRLQk9xNmFMY1FTSUdRS2taTU1qUUtoaVY3SmNuU1RHQWJ4WkJQQkVLMUd3eU1iTTBHSXBZZm1adXVvUjJkSkg3M29CWVRsZDRsaFVEc0FJZTl2SkJjd3pqeXlTdU4yT1hSQT09 |
Will buy at 120 | r/solana | comment | r/solana | 2025-04-30 | Z0FBQUFBQm9FZ1VKTmZYcWZjS29Jc0UxZGhFdlJCQU5RRC1HVTFBSVVIcnB2VUpCN3k4WnhXc1lxOGFlTGF6Q0ZlcXVSeWwyTmdpMURrcHhlMlY0MGx1NWlFYnFFblRmeEE9PQ== | Z0FBQUFBQm9FZ1VKVlFCWFp4dHlscVFrcG9jUG5HNzZscEVKRWFTdXVNaVZKY1BHYlVuSThCVkNyc1hxNWp1VmF3LVJDS1BXal9wTXJmSXZHYTlMTGd3WlM2dlRGelBCaWVFNkRBd1JuSHJxX09PZ19IdFgtQmpxRmZTU3pSellEVUNwZkMtakhDOFR0WnozaXBXTHg3RHYtTmstb0twMUdaUEEyamw2OXl6bmFoU3p2V0EwM2QwVUJsMEN5Y3RHTXlmVHgyZl9JSUxGb2JsZ1pXSmFYSmdaYm5GejNyLTA0UT09 |
How would you decide on the strategy of the bot thou,
Asking because (small promo) we at bagtools are trying to build a way for people to deploy bots on the platform. So you would connect to the varios token signal channels and decide on some basic trade parameters and deploy on our servers. So curios to see what people would be after. | r/solana | comment | r/solana | 2025-04-30 | Z0FBQUFBQm9FZ1VKOHZKLXNvM2JiRFBNaW0zeXpBd1FYeFd0OUZNUzUtNnQ3REtOZm5nLTFQa2NYTmh3WU5oZThzRFVkb0VQNWh4aXR2Q3R4bGh0Y2VXdG1yX0lMQ0FETDJFcDF0UzRBd01VMUlqMUowRmZHU009 | Z0FBQUFBQm9FZ1VKbHplaGFJclZmbTdlV1YxY3UzWXhiOVBGU29PR2tsZWdwa1dTdmZmaEMtOWpKM1FVMGs1SEUta214eXVwZm1vRW8tcG9OQTJNZ21jMmNwa21QNFV0bGlHb040eG5OX1RmVDRWRFp1d0l5TldscXg4ZnZpeFRIaUNlWWtuR0Z2akhvdmI0VjJScmpzNXhZZGdKUGtGTVhJbmZUUmV1V3B2VWtwRkVDdmVIRmt1OGRoRWE1YlZaeVYweWFEZEhPYnFlUFhlaFZDN0ItOE5Ic2VYTzUxeXhqQT09 |
You didn’t buy when it was $96?? | r/solana | comment | r/solana | 2025-04-30 | Z0FBQUFBQm9FZ1VKdmRlYjIwRUxzdU1oRlU4djkxNWF4V0hyVmtqWkItdTFySmFBVVJXV1d6X3ExSm9lV1RSdFN5eFo1V0JFLURwSFlfaFRGeFI0NGZObmg0V3RDSjc5N0xlZUo4eXNwUl9aTzA3VlVjUHRlV2M9 | Z0FBQUFBQm9FZ1VKaVZxMkFoUTdoTlVhc181LUNsdzh1T05KNGtGYTlGb2ZhdVN6M0hkUWxHX1EwcDFEMnFTdHp2NVdIb18zZGFwMFZFdUZxLXBheVBmTzF2YWQ4dmp3MVpYdUxsYXllLWdiby1Oa2l3ZDJYWEdjZjBvRkp6NWVIMHVDcVZEdkRZdUxUZnBUcV9GMzhqNXd3YU90NkVKU2FhWXlyTVptb3FqTnIwX1lWSHprTDJyYjNDYlM5aVZOY1otNzZqc0hRVjZSczNSWWk2VVpMOG5rVFVGcnU5eEV3QT09 |
Aw only 25. Cute! That your daughter’s starter account? | r/solana | comment | r/solana | 2025-04-30 | Z0FBQUFBQm9FZ1VKNV9LRVZVN05SemNTd3dkRDVBV3FQdnVQbDY3MWNUUlo1UXpuUUNRdEZaT3FuNlB6RlZ5TW9vRUJpdERxNUMwMmFlaFhXeVk4eUZNSXNzaE1UR0dKdzlQV3BhcTZ1QUlud2hxbno4Ungtb2s9 | Z0FBQUFBQm9FZ1VKbUt4QUtRcWxiYzB4QzNyVVlxZHhybkp5YjJvUWhSZFRYc25GY0ctUVY5emtHTEVwajR3ZFlNRjRNdFNmRnk2UW1IbGJvNFZZekRRYjBEaE9RMmZ6Z1FJcjVTM1BERElmUEhzUmhZZFFaUXFva0JUdjQ5ZHlGZ0stZEFwR1pfejRfU3ZCMzRNdkd1T21EM3dWcHFYblAya2NaZDZlb1I3Q1dKM081ZXRvWXFHVW42Z24zVUdQOTQtaVNOWFFOU0ZNbzQ2NGV1NURHQXRwODFsVG9nNm9Hdz09 |
End of preview. Expand
in Data Studio
Bittensor Subnet 13 Reddit Dataset
Miner Data Compliance Agreement
In uploading this dataset, I am agreeing to the Macrocosmos Miner Data Compliance Policy.
Dataset Summary
This dataset is part of the Bittensor Subnet 13 decentralized network, containing preprocessed Reddit data. The data is continuously updated by network miners, providing a real-time stream of Reddit content for various analytical and machine learning tasks. For more information about the dataset, please visit the official repository.
Supported Tasks
The versatility of this dataset allows researchers and data scientists to explore various aspects of social media dynamics and develop innovative applications. Users are encouraged to leverage this data creatively for their specific research or business needs. For example:
- Sentiment Analysis
- Topic Modeling
- Community Analysis
- Content Categorization
Languages
Primary language: Datasets are mostly English, but can be multilingual due to decentralized ways of creation.
Dataset Structure
Data Instances
Each instance represents a single Reddit post or comment with the following fields:
Data Fields
text(string): The main content of the Reddit post or comment.label(string): Sentiment or topic category of the content.dataType(string): Indicates whether the entry is a post or a comment.communityName(string): The name of the subreddit where the content was posted.datetime(string): The date when the content was posted or commented.username_encoded(string): An encoded version of the username to maintain user privacy.url_encoded(string): An encoded version of any URLs included in the content.
Data Splits
This dataset is continuously updated and does not have fixed splits. Users should create their own splits based on their requirements and the data's timestamp.
Dataset Creation
Source Data
Data is collected from public posts and comments on Reddit, adhering to the platform's terms of service and API usage guidelines.
Personal and Sensitive Information
All usernames and URLs are encoded to protect user privacy. The dataset does not intentionally include personal or sensitive information.
Considerations for Using the Data
Social Impact and Biases
Users should be aware of potential biases inherent in Reddit data, including demographic and content biases. This dataset reflects the content and opinions expressed on Reddit and should not be considered a representative sample of the general population.
Limitations
- Data quality may vary due to the nature of media sources.
- The dataset may contain noise, spam, or irrelevant content typical of social media platforms.
- Temporal biases may exist due to real-time collection methods.
- The dataset is limited to public subreddits and does not include private or restricted communities.
Additional Information
Licensing Information
The dataset is released under the MIT license. The use of this dataset is also subject to Reddit Terms of Use.
Citation Information
If you use this dataset in your research, please cite it as follows:
@misc{markrogolino2025datauniversereddit_dataset_156,
title={The Data Universe Datasets: The finest collection of social media data the web has to offer},
author={markrogolino},
year={2025},
url={https://huggingface.co/datasets/markrogolino/reddit_dataset_156},
}
Contributions
To report issues or contribute to the dataset, please contact the miner or use the Bittensor Subnet 13 governance mechanisms.
Dataset Statistics
[This section is automatically updated]
- Total Instances: 2254037
- Date Range: 2025-03-21T00:00:00Z to 2025-05-03T00:00:00Z
- Last Updated: 2025-05-03T13:34:10Z
Data Distribution
- Posts: 3.28%
- Comments: 96.72%
Top 10 Subreddits
For full statistics, please refer to the stats.json file in the repository.
| Rank | Topic | Total Count | Percentage |
|---|---|---|---|
| 1 | r/AskReddit | 76878 | 3.41% |
| 2 | r/wallstreetbets | 60586 | 2.69% |
| 3 | r/politics | 47006 | 2.09% |
| 4 | r/AskUS | 44184 | 1.96% |
| 5 | r/AITAH | 42657 | 1.89% |
| 6 | r/nba | 34206 | 1.52% |
| 7 | r/AmIOverreacting | 29140 | 1.29% |
| 8 | r/NoStupidQuestions | 28603 | 1.27% |
| 9 | r/thescoop | 27696 | 1.23% |
| 10 | r/oblivion | 26094 | 1.16% |
Update History
| Date | New Instances | Total Instances |
|---|---|---|
| 2025-04-30T11:10:03Z | 330 | 330 |
| 2025-04-30T15:17:40Z | 10377 | 10707 |
| 2025-05-01T08:45:15Z | 743017 | 753724 |
| 2025-05-02T02:34:45Z | 516792 | 1270516 |
| 2025-05-02T19:44:22Z | 841106 | 2111622 |
| 2025-05-03T13:34:10Z | 142415 | 2254037 |
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