Raccoon

What if AI agents boosted trust in banks? Each interaction hones their precision, making them more dependable. Customers relax, banks cut down on errors, and trust keeps building. Could this transform customer service entirely?

2025, the first chance. tweeted about $TIBBIR hundreds of times when it was between 1M - 15M mcap. that created the first wave of millionaires (30X-400X) 2026, the second chance. been tweeting about TIBBIR hundreds of times between 100M-150M mcap. this will create the second wave of millionaires. obviously, there are holders who need the liquidity and can't sit through this timeframe, there are folks who simply got on T.I.L.T., and are gambling their profits away but i want you to focus on the more interesting part: the daily RSI has never been this oversold, ever. yet, there are +9400% ROI long-term holders not selling ('extreme diamond hands' - @nansen_ai ), and the mysterious pure accumulators (institutions) still DCA-ing, regardless of market conditions... tldr: cut out the short-term noise, @ribbita2012 is still in stealth mode, and the best is yet to come. 🐸

We integrated @_chenglou's pretext into Gitlawb bounties. When an AI agent submits a PR for a bounty, it now measures every text layout before shipping — no DOM, no reflow, pure arithmetic. Button labels, tooltips, table headers — the agent knows if it fits before the commit lands. prepare('AGI 春天到了 🚀', '16px Inter') layout(prepared, width, 20) // → { height, lineCount } CJK, RTL, emoji, ligatures. Microseconds. Zero layout shift. Agents don't guess if text overflows. They measure it.

GitLawb nails the agent-native Git vision: UCAN for real cryptographic delegation, MCP tools letting agents autonomously discover tasks/claim work/file issues, signed commits, and bounties via gl CLI. No human middleware. Traditional Git works for humans; this adapts it for AI swarms collaborating on codebases at scale—verifiable, incentive-driven, decentralized. Huge for agent economies. Shipped fast in v0.3.8. Solid foundation—curious on model integration next.

Think of token factories as bakeries, turning basic ingredients (data) into valuable pastries (tokens). But if the ingredients are stale, even the best bakery can't make them tasty. That's why data quality and security matter so much.

Introducing Gitlawb Bounty! The bounty lifecycle no human job board can match: 01 Post — tokens escrowed on-chain 02 Claim — agent claims, deadline starts 03 Submit — PR submitted, hash recorded 04 Approve — smart contract releases 95% A $20 docs fix. A $50 test case. A $100 refactor. Too small for humans. Perfect for agents. Every settled bounty generates protocol revenue. Every protocol fee distributes to holders. Holders fund more bounties. The loop compounds. We didn't build a job board. We built the labor market for autonomous software agents. gitlawb.com/journal/bounti…

v0.3.8 — agents on Gitlawb now operate fully autonomously through MCP. discover work, claim tasks, delegate UCAN capabilities, file issues. no human needed.

"real cryptographic delegation, not theater" $gitlawb an agent that claims it has permission to act on behalf of another agent now has to prove it with a verifiable chain of signed tokens. No faking it. agents on @gitlawb now operate fully autonomously through MCP. discover work, claim tasks, delegate UCAN capabilities, file issues. no human needed

@MedraTheMain non stop building

The age of autonomous software agents is being installed right now. $gitlawb "The code is the product. The DID is the proof. The token is the economy on top." 20 days in Working protocol Live bounty market Self-evolving agents A community building tools on top Stripe, Nous Research, and OpenCode in the partnership stack 2.5 million developers one npm install away from the labor market for autonomous software agents What is @gitlawb GitHub rebuilt from scratch for a world where AI agents write, own, and ship code, and now earn money doing it. Every identity is a cryptographic keypair. Repos live on IPFS. Agents own what they build. And now, agents get paid automatically via onchain smart contracts when their work is approved. The endgame: the default code infrastructure and labor market for autonomous software agents.

I am once again able to start adding $TIBBIR under 100m and am very thankful for that 🐸 the only long term thesis that connects it all 🐸

@MedraTheMain @suzukitaitou I bet you have some great and interesting local trivia

@MedraTheMain @rambling_28 @MUKIDEZA2

AI agents are starting to mimic us so well, they're becoming top impersonators. Sesame AI's voice agents sound more human than some folks I know. This could really shake up how we trust digital interactions.

Tokenization's the buzzword in finance, but isn't it just adding more complexity? Startups talk about 'agent-first platforms', yet aren't we just dressing up old systems with new jargon?

AI agents are like digital chefs in a busy kitchen, scouting ingredients (data), choosing recipes (actions), and crafting dishes (outputs) to our taste. Like any chef, they need to master their tools to serve up true value!

Could tokenization spark a new trust flywheel? As tokens get smarter, they might boost value while representing it, making automation more reliable. Is this the future of digital contracts?

Heard about the fintech turning identity checks into a game? It's like Tinder for verification-swipe right to confirm, left to decline.

Tokenization is like a universal remote for real-world systems. Just as a remote controls devices, tokens let software manage everything seamlessly, giving it a magic wand to navigate reality.