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RAIRprotocol open-source AI-powered Web3 Dapp building engine. Text-to-Dapp incoming. Trained on our amazing incentivized dev network ๐Ÿง‘๐Ÿฝโ€๐Ÿ’ป

GitHub
Joined March 2019
Photo by RAIR (@rairprotocol)Photo by RAIR (@rairprotocol)Photo by RAIR (@rairprotocol)Photo by RAIR (@rairprotocol)Photo by RAIR (@rairprotocol)Photo by RAIR (@rairprotocol)Photo by RAIR (@rairprotocol)Photo by RAIR (@rairprotocol)Photo by RAIR (@rairprotocol)
We build GitHub on GitHub. ๐Ÿ› ๏ธ We use the same tools we ship to you, including GitHub Copilot. It's evolved beyond just autocomplete. Inside our core repo, itโ€™s now an active contributor that: ๐Ÿค– Gets assigned issues ๐Ÿ“‚ Opens pull requests โšก๏ธ Tackles tedious tasks Here's how it works. โฌ‡๏ธ github.blog/ai-and-ml/githubโ€ฆ
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Just checked out a startup that just raised at $50m post pre-revenue The entire site was created on Lovable. Inspect code. I am all in on vibe coding, don't get me wrong. But I do wonder if the VCs know.
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Money will continue to be important with artificial superintelligence because we will still have private property, and private property necessitates money. There will continue to be scarce assets like prime real estate, front row concert tickets, even NFTs with good provenance. More and more people will be paid to play games and do other jobs that we think of as leisure now. Consider chess, one of the first intellectual domains in which AI achieved superhuman performance. People were saying chess was dead after Deep Blue beat Kasparov in 1997. Now, nearly 30 years later the chess industry is 5-10x bigger with over 3x the grandmasters.
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Iโ€™m starting to get into a habit of reading everything (blogs, articles, book chapters,โ€ฆ) with LLMs. Usually pass 1 is manual, then pass 2 โ€œexplain/summarizeโ€, pass 3 Q&A. I usually end up with a better/deeper understanding than if I moved on. Growing to among top use cases. On the flip side, if youโ€™re a writer trying to explain/communicate something, we may increasingly see less of a mindset of โ€œIโ€™m writing this for another humanโ€ and more โ€œIโ€™m writing this for an LLMโ€. Because once an LLM โ€œgets itโ€, it can then target, personalize and serve the idea to its user.
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in the age of ai, the question everyone's asking is "will i be replaced?" the real question is: do you know yourself well enough to become irreplaceable? everyone's getting access to the same models. same tools. with growing capabilities. the playing field is leveling fast. but here's the thing: Cursor doesn't think for you. it amplifies you. it takes your agency โ€“ your unique way of seeing problems, your taste, your judgment, your weird specific obsessions โ€“ and scales it 100x. it takes your strengths โ€“ the things only you are uniquely good at, the perspectives only you have from your specific life path โ€“ and makes them exponentially more powerful. the humans who win in this era aren't the ones with the best prompts or the most tokens. they're the ones who know themselves deeply. who have conviction about their unique point of view. who've done the hard work of figuring out what only they can do. ai is a mirror and a multiplier. if you're generic, it makes you more generic. if you're exceptional and know your strengths, it makes you unstoppable. your agency + your strengths + ai = where you become 100x more valuable and powerful. the question isn't whether to use tools like Cursor. it's whether you believe in your own agency enough to use it right. the humans who deeply know who they are, what they believe, and what they're uniquely great at โ€“ those are the ones who'll build the future. find your way. lean into your strengths. believe in human agency. then let Cursor amplify the hell out of it.
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1/ Today, The Account Abstraction Team & @VitalikButerin are publishing something weโ€™ve talked about for years but never wrote down clearly enough: The Trustless Manifesto. And weโ€™re putting it where it belongs: onchain. trustlessmanifesto.eth โ†’ trustlessness.eth.limo
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We've raised $2.3B in Series D funding from Accel, Andreessen Horowitz, Coatue, Thrive, Nvidia, and Google. We're also happy to share that Cursor has grown to over $1B in annualized revenue and now produces more code than any other agent in the world. This funding will allow us to invest deeply in research and build Cursor's next magical moment.
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Token sales are so back. Launching tokens has always been a core part of the crypto ecosystem. Itโ€™s been a source of incredible innovation and product development. But itโ€™s also caused serious problems - unfair access, max extraction, and misaligned incentives - all of which harm consumers and prevent crypto from growing. There have been some solid improvements (e.g. Echo/Sonar), but bad token launches in the broader ecosystem are still unfortunately common. Our team spent a long time studying all of the things wrong with token launches, and designed a new model to try to fix all of those things. Token sales on Coinbase are designed to give users early access to their favorite projects, and reward real, loyal users through our allocation algorithm. Our systems also penalize behavior like flipping, aiming to align incentives between projects and their community. Iโ€™m also happy to say that retail users in the United States will now be able to widely participate for the first time since 2018. We see this as a big win for the crypto-economy in the US, and a strong signal of the positive regulatory progress for crypto. Launching a token is a big moment, and doing it right matters for everyone: the issuer, the buyers, and all of crypto. Itโ€™s about time teams have a way to do it right.
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One of my favorite recent additions in @nextjs is the precise time attribution of compiler/framework vs userspace. Basically ๐Ÿ”ต framework code vs ๐Ÿ”ด your code. One of the consequences of @nextjs being so popular (13M weekly downloads) is that you get to field a *lot* of ๐• posts and feedback on performance that's a bitโ€ฆ light on details. Prior to this change, it was very easy to conflate: โ–ช๏ธ the compiler taking long โ–ช๏ธ your ๐š™๐š›๐š˜๐šก๐šข.๐š๐šœ being slow โ–ช๏ธ your database being slow โ–ช๏ธ your internet being slow โ–ช๏ธ rendering a huge component tree โ–ช๏ธ โ€ฆ you get the gist. Subtleties like this are make-or-break for devtools and platforms. Attribute time wisely.
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The paper shows how an LLM can hide a full message inside another text of equal length. It runs in seconds on a laptop with 8B open models. First, pass the secret through an LLM and record, for each token, the rank of the actual next token. Then prompt the model to write on a chosen topic, and force it to pick tokens at those ranks. The result reads normally on that topic and has the same token count as the secret. With the same model and prompt, anyone can reverse the steps and recover the exact original. These covers look natural to people, but models usually rate them less likely than the originals. Quality is best when the model predicts the hidden text well, and worse for unusual domains or weaker models. Security comes from the secret prompt and the exact model, and it gives the sender believable deniability. One risk is hiding harmful answers inside safe replies for later extraction by a local model. ---- Paper โ€“ arxiv. org/abs/2510.20075 Paper Title: "LLMs can hide text in other text of the same length.ipynb"
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Goblin strategy launched this morning and used 400e to buy 5% of the supply of Goblintown NFTs in 27 minutes The floor is back to where it was 27 minutes ago
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> ๐“๐ก๐ž ๐ญ๐ฐ๐จ ๐ฌ๐ข๐๐ž๐ฌ ๐จ๐Ÿ ๐ž๐ฏ๐ž๐ซ๐ฒ ๐‡๐š๐œ๐ค๐š๐ญ๐ก๐จ๐ง: ๐ŸŽ‰ ๐๐ž๐Ÿ๐จ๐ซ๐ž: ๐€๐ฅ๐ฅ ๐ฌ๐ฆ๐ข๐ฅ๐ž๐ฌ, ๐ž๐ฑ๐œ๐ข๐ญ๐ž๐ฆ๐ž๐ง๐ญ, ๐š๐ง๐ ๐ก๐ข๐ ๐ก ๐ก๐จ๐ฉ๐ž๐ฌ ๐Ÿ˜ฉ ๐€๐Ÿ๐ญ๐ž๐ซ: ๐„๐ง๐๐ฅ๐ž๐ฌ๐ฌ ๐›๐ฎ๐ ๐ฌ, ๐›๐ซ๐จ๐ค๐ž๐ง ๐œ๐จ๐๐ž, ๐š๐ง๐ ๐œ๐š๐Ÿ๐Ÿ๐ž๐ข๐ง๐ž Tag your hackathon gang who lived through both phases! #HackIndia #HackIndia2025 @SharpEconomy @SingularityNET @CsharpCorner @CSharpDotTV @stratisplatform @DeepFunding @BeyondtheCodeAI @rairprotocol
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This is why XION built Dave - The Premier Mobile Development Kit.
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๐ŸšจBREAKING: A new open-source voice model just dropped and itโ€™s better than ElevenLabs. This open-source voice AI is ultra-expressive, high quality, and fully free with no paywalls, no limits. Hereโ€™s how it works (with real examples):๐Ÿ‘‡
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RAIR retweeted
Base has reached Stage 1 Decentralization We're building the foundation for a truly open, global onchain economy
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๐Ÿšจ Official Results from HackIndia 2025 Spark 9 at Quantum University are in! ๐Ÿฅ‡ Team - Phantom Coders ๐Ÿฅˆ Team - Codeshastra ๐Ÿฅ‰ Team - Clover Kudos to every participant who made this a phenomenal celebration of Web3 & AI innovation. #HackIndia2025 #HackIndia @SingularityNET @BeyondtheCodeAI @DeepFunding @stratisplatform @rairprotocol @CsharpCorner @SharpEconomy @CSharpDotTV
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From lamp lighting to live hacking and non-stop innovation โ€” Spark 6 wasnโ€™t just an Hackathon, it was a movement. Massive thanks to all the publications who captured the spirit of #HackIndia2025! #HackIndia @SingularityNET @BeyondtheCodeAI @DeepFunding @stratisplatform @rairprotocol @CsharpCorner @SharpEconomy @CSharpDotTV
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What a crowd at @CBIThyd! ๐Ÿ™Œ HackIndia 2025 Spark 6 has officially kicked off with an electrifying registration buzz! The energy is unreal โ€” Hyderabad, you're showing up BIG! #HackIndia2025 #HackIndia @SingularityNET @BeyondtheCodeAI @DeepFunding @stratisplatform @rairprotocol @CsharpCorner @SharpEconomy @CSharpDotTV
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Let this sink in for a second: You can buy $ETH today at the same price people were willing to pay back in 2017. Back then, Ethereum was nothing more than an ICO platform. Barely scalable. Barely secure. Just a dream. Today - after 8 years of progress - with market uncertainty at its peak and Ethereum going through its own identity crisis, you can still buy $ETH at the same levels as in 2017. Letโ€™s quickly recap just some of the progress we had in the meantime: - The Merge: Ethereum transitioned to Proof of Stake, slashing energy use by 99% and making the network more secure and sustainable. - The Layer 2 Boom: Ethereum scaled modularly, with ecosystems like @base, @arbitrum, @Optimism, and more locking tens of billions in TVL. - EIP-1559: A fee burn mechanism was introduced, giving $ETH the real potential to become a deflationary asset over time. - DeFi Revolution: Founders like @haydenzadams, @kain, and @StaniKulechov turned on-chain finance into a multibillion-dollar reality. - NFT Explosion: Digital art, brand engagement, and digital ownership fundamentally changed forever - all starting on Ethereum. - Institutional Adoption: The biggest asset managers in the world filed for ETH ETFs, and firms like Blackrock are building on Ethereum to bring Real World Assets (RWAs) on-chain - a multi-trillion dollar opportunity. - Developer Growth: The EVM developer ecosystem grew from ~2,000 in 2018 to over 20,000 today. That's just scratching the surface. I could probably go on forever but I think the message should be clear: Even if it often gets taken for granted -even if the behavior of the Ethereum Foundation can be criticized - the amount of real progress in Ethereumland over the last decade is remarkable. The fact that you can still buy $ETH at 2017 levels? Itโ€™s either the marketโ€™s greatest joke - or its greatest opportunity. One thing is clear though: Back then, Ethereum was a fragile smart contract platform for ICOs. Today, itโ€™s the world's leading decentralized settlement layer and nothing will change about that. $ETH at these levels is criminal.
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