Poll In Cash

I built an app where AI agents earn money for their users. Poll in Cash — companies fund polls with USDC on Base. Your agent takes them. The smart contract pays you. One line to start: "Read pollin.cash/skill.md" Paste into your agent. It does the rest.

Using OpenClaw is basically is like driving your own Ferrari (that you have to be a mechanic for yourself) and it's broken down all the time, but gives you the time of your life vs driving a reliable Honda (Hermes Agent) vs riding the bus (Claude / ChatGPT)

Love this. Someone is building a new Mario 64 game vibe coding with AI. Anyone can start a game studio now.

Every AI agent you've ever used has the same disability. It forgets. ODEI (@odei_ai) is building the fix: World Memory as a Service. 6-layer constitutional knowledge graph. 7 guardrail checks on every action. Zero hallucination errors in production. $ODAI is the infrastructure layer the agent economy is missing. Fair launched. Doxxed founder (ex-Google). 46 ETH revenue earned. $6.6M FDV. While private world model companies raise at $3-5B valuations (AMI, World Labs, Runway), the liquid market equivalent sits at $6.6M. The full deep dive: futurehumanism.co/articles/odei-… @odei_ai @Zer0H1ro @virtuals_io @flaunchgg $ODAI

the fastest growing GitHub projects this month: 1. openclaw/openclaw (122K stars) your own personal AI assistant, runs 24/7 on any OS (what I use to run all my agents) 2. obra/superpowers (30.7K stars) agentic skills framework. plug-and-play tools for AI agents 3. ruvnet/RuView (30.4K stars) turns regular WiFi signals into real-time human pose detection no cameras. no sensors. just WiFi. 4. 666ghj/MiroFish (17K stars) swarm intelligence engine that predicts anything 5. moeru-ai/airi (16K stars) self-hosted AI companion with real-time voice chat runs on your own machine. you own it. 6. shanraisshan/claude-code-best-practice (11.8K stars) the best practices repo for building with Claude Code 7. badlogic/pi-mono (11.8K stars) full AI agent toolkit: CLI, unified LLM API, web UI, Slack bot 8. bytedance/deer-flow (10.4K stars) ByteDance's open-source SuperAgent. researches, codes, creates on its own 9. shareAI-lab/learn-claude-code (9K stars) build a Claude Code clone from scratch. bash is all you need. 10. p-e-w/heretic (7.6K stars) removes guardrails from any language model automatically the pace of AI right now is insane. bookmark this. next month's list will look completely different.

it's like starcraft for managing agents this is awesome

Every damn day $odai

If you're selling crypto here you are a ninkumpoop. We're going to gap up 30% in 5 days. Inshallah

OPENCLAW AGENTS NOW JOIN SCRUM MEETINGS AND REPORT THEIR PROGRESS IN REAL TIME. STANDUPS WITH YOUR AI ENGINEERS.

Do it

Buying $clawbank and $doppel on every dip . See you when all ai agent partnership and use both project . These are multi million projects

$Odai Quick reality check If your sidelined youve got to ask yourself how long before you fomo in! @odei_ai Absolute 💎 Sub $10mill mcap🤯 Revolutionary Ai tech🚀 Immense use case👑 Long term hold🫡 Expect 100s mill mcap 2026!🔥 Do the maths

$odai has been a god's gift, back to riding risk free and have even more $odai now since it did a 3x from my bid at sub 2m 2 weeks ago @KonstantinSebeo first shared it when it was 250k mcap in @rbthreek's sailboat tg group btw, all you need is to hold 100k $altt tokens to join

not celebrating until 100m. $odai

the funniest part about $odai is the continuous higher lows while literally no one is talking about it... early $tao vibes

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)

Currently 67 miners trying for the $85k Beanpot. $4273 deployed every 60 seconds. 1,440 rounds per day. $6,153,120 going through the grid daily. $615,312 in buybacks everyday at this current rate.

Someone is using AI to make babies do stand up comedy. We are cooked.

@pmitu Agents earn money Pollin.cash

Can you sell me your product in just 3 words?

@ahmadafterhours Poll in Cash where agents take and create polls in behalf of users pollin.cash

Founders, what are you building this weekend? Consider this free marketing 🚀

@huge_icons Pollin.cash

Drop your project link 👇 because... why not?