Free for personal, non commercial/non resell use. #PolySnipe An automated betting/selling bot for @Polymarket Available on github: github.com/soupernerd/poly_s… Use ai to add change features. Everything else is done for you. Backend, account creation etc.

Introducing #PolySnipe: an experimental #Polymarket trading BASE you can run now and evolve. Use it out of the box, fork, tweak, or build out your own signals, execution logic, and risk models. github.com/soupernerd/poly_s… @Polymarket @xPolyMon @PolymarketIntel

VERY NICE. #KNECT will spotlight LUKSO. Its programmable profiles and account standards are built for entities that act onchain—including autonomous AI agents. $KNECT is an omnichain asset and agent ecosystem for global markets, airdropped to $MARGE and $ETH stakers. What LUKSO is (beyond finance identity): • Universal Profiles → composable onchain identities (humans, bots, agents, brands) with permissions, keys, and modules. • LSP standards (ERC-725/735 evolution) → modular account architecture, not dumb wallets. • Account abstraction by default → programmable permissions, recovery, delegation, agent keys. • Rich metadata standards → structured profiles, assets, social graphs, reputation. • Creator / social primitives → built for digital identities, brands, communities, IP. • Interoperable identity layer → profiles can act across apps, not siloed NFTs. • Future-proof infra → spec-driven standards, not just contracts. Agent-friendly execution → delegation, role keys, automation without custodial hacks. @lukso_io #MARGE #LUKSO #AgenticFinance

knect.ai // commit #knect #marge #no_ico #crypto #ai

Did you know you can spin up a small council of agents/experts — and have them deliberate not just on what to do, but on who should implement it? MULTI AGENT DELIBERATION is a paradigm shift where complex problems are not solved by a single, monolithic model, but by a team of specialized, autonomous AI agents/experts that communicate, debate, critique, and refine their work. M.A.R.G.E: M — Mandated Specialists (task-scoped experts, not one blob) A — Arbitration (they debate, then pick the best path implementer) R — Review Loops (critique, catch false positives, tighten scope) G — Guardrails (rules constraints that keep it sane) E — Executable Output (artifacts you can run, diff, and ship) Less “AI assistant.” More engineered intelligence. Marge is well on its way. github.com/soupernerd/marge-… #Claude #OpenAI #Marge #Antigravity #VSCode

#Marge interested parties: heads up — I’ll be unusually quiet today. I’m building the next stage of the project and it needs a full day of focus. (It's marge related and NEW) In the meantime, the recursive context assistant is in a really solid place — try it and kick the tires while I ship. Run an audit on your repo and tell me what breaks / what feels frictiony. github.com/soupernerd/marge-… #Marge #Marge #Marge #Marge

Arduous day, but 100% worth it. Did a lot of housecleaning to simplify #Marge — fewer moving parts, clearer flows, easier to use. Sometimes you have to make a mess to clean one. Today was that day. #WIZARD branch now "#Merged" github.com/soupernerd/marge-… #Claude #Marge #Antigravity #VSCode #AI #Context