slash1s

Mind blown: A Chinese quant college student builds an AI swarm engine in 10 days flat, explodes GitHub with 13,000+ stars, and scores $4,000,000 in funding! Introducing MiroFish is the multi-agent simulator that's revolutionizing predictions for trading, PR, and more. What is MiroFish? It's a digital sandbox where thousands of AI agents with individual memories and behaviors interact like a real society. Feed it any scenario (news leak, policy change, or even a classic novel's missing ending), and it simulates crowd reactions, debates, and outcomes to forecast real-world events. The Creator's Story: > In late 2025, fourth-year student Guo Hanjiang coded the core using AI assistants. > It went viral overnight, landing him 30m Yuan (~$4m) from Shanda Group. > He ditched the dorm, started a company, and now leads the charge. Key Applications: .Trading: Input financial news or reports, watch simulated market panics and price swings for predictive insights. .PR Testing: Companies/Politics run draft statements to spot backlash and refine messaging. .Creative Experiments: Loaded a lost-ending Chinese novel, agents role-played characters and generated a logical finale. .Easy setup: Deploy via Docker in minutes with any LLM API key. Pro tip: Simulate something wild like Elon Musk tweeting about Dogecoin 2.0 and spawn agent traders, influencers, and investors, generate real-time video clips of the frenzy to test moonshots or crashes risk-free. Traders are already winning big: Check this one on Polymarket - $120,000+ net profits from spot on SPX 500 bets, powered by MiroFish sims on historical data. His profile: polymarket.com/profile/%40moi… For effortless gains, try Kreo copy trading: Auto-mirror pros like him and ride their edges. Try here: @join" target="_blank" rel="nofollow noopener">kreo.app/@join Add his wallet: [0x17559efac103ac7f361be37ec0b93888d4c55aac] to [t.me/KreoPolyBot?st…] and start track/copy him. Repo: github.com/666ghj/MiroFish

A 27-year-old American dropout made $10,000 his first month with one Claude Code workflow. No clients. No portfolio. No experience. He scraped Google Maps, let Claude Code build the outreach tool, and started charging before he even had a website. Day 1 -> first reply. Day 7 -> first payment. Day 30 -> $10,000. The exact system he used just became a free repo with 139 growth tactics, 12 SEO playbooks and a CRO framework that replaces a $3,000 audit. Senior marketer -- $15,000/month. Marketing agency -- $10,000/month. This repo -- $0. He figured it out at 27 only. Details in the article.

@shmidtqq haha literally me on video

a Chinese second grader is farming the entire Western prediction market with a self-coded weather bot, and his mom thinks he's doing homework. while you read this, he made money.

@antpalkin just these steps and money😉

You could literally: > Quit your marketing job on a Monday > Talk to Claude for one weekend > Wire MiroFish into BTC order books > Run 10,000 sims per trade by Friday > Close month at $360,000 profit > Starting capital: $100 Why aren't people doing this?!

@leopardracer fact bro

The reason Claude keeps disappointing you is not Claude - it’s you. Every session - explain yourself from scratch. Every session - it forgets you exist. Every session - same mistakes. Same corrections. Same waste. That’s not AI. That’s a goldfish with a keyboard. One file broke that loop permanently. 21 lines. That’s it. Now Claude knows his voice. His rules. His decisions. What failed. What worked. Where he left off. He doesn’t explain himself. He doesn’t repeat himself. He just builds. While you’re re-explaining your job for the 200th time - he already shipped. Tony Stark didn’t prompt J.A.R.V.I.S. He talked to it like it knew him. Because it did. This guy has that. In a wine bar. On a laptop. With a text file. 82,000 GitHub stars. #1 trending. And you still don’t have it set up. Bookmark this before you forget. Because you will forget. And tomorrow you’ll be explaining yourself to Claude again.

@ridark_eth math🫡

> retail sees a vibe trade and bets the news > quants see a marginal polytope and solve for $M$ > Mac Mini. Claude Code. Polymarket RPC. > $0.60 mispricing. 41% frequency. > $20M extracted. zero interest in politics. > vibes don't compound. Math does.

@seelffff only one repo?

when I found all of Google's internal tools in one repository on the web

Someone cracked the MrBeast algorithm and is making money off it on Polymarket. $1.65M in volume, 77.7% win rate, $31,408 in pure profit. [0xA8fAC068d3] doesn't trade politics or crypto -> he trades MrBeast view counts, and he's built what looks like a genuine edge in the most niche market on the platform. His current call: YES on 35-40M views for MrBeast's next video, $38K deployed, already up $2.7K on the position. He's not guessing the vibe, he's modelling the exact range the video lands in. This guy understood one thing deeper than the entire market did -- how many millions of views Jimmy gets on day one and is quietly printing money off it while everyone else is busy trading wars and elections. -> @0xA8fAC068d32639c40188563C83c206b320E57Dda-1773425391498?code=slash" target="_blank" rel="nofollow noopener">predictparity.com/traders/p/@0xA… Save the profile, watch every move.

@usePolyArb 56x Polymarket volume with 0% fees? Hyperliquid is eating everyone’s lunch

Hyperliquid HIP-4 outcome markets did $6.15M in BTC daily volume in 48 hours. That’s 56x Polymarket’s volume on the same product. Same outcomes, better economics: We’re building a dedicated Hyperliquid HIP-4 module. This is a real opportunity, and the first bots in are going to make well. - 0% open fees (vs 2% Polymarket winner fee) - Native CLOB matching at 200,000 orders/sec - USDH collateralized - API Wallet system = structurally non-custodial PolyArb’s Hyperliquid HIP-4 integration ships end of May. We’re going heads-down on this build for the next few weeks. Less active on socials, more time shipping.

@seelffff I always wanna know something about his strategy 👀

@zostaff looks so clean ngl

i build a polymarket trading bot. took an old abandoned repo, rewrote 90% of it. name: zostaff repo: github.com/zostaff/poly-t… mit. python 3.12+. py-clob-client with eip-712 signed orders. usdc.e on polygon. three strategies in the box: AI Directional (llm via openrouter, any model), Safe Compounder (pure edge math, no llm), Beast Mode (aggressive, kept for comparison). most "ai bots" for polymarket on github are abandoned templates with hardcoded losing strategies. this one ships with a streamlit dashboard, sqlite telemetry on every trade, fallback chain across llm models, circuit breaker at 15% drawdown, quarter-kelly default, paper trading mode by default - until you flip LIVE_TRADING_ENABLED=true, nothing goes live. the readme has a section called "Lessons From Live Trading". real numbers from real losses: three-quarter kelly destroys capital on a 45% win-rate strategy. category discipline beats ai confidence every single time. a 50% drawdown limit isn't a limit. more trades without edge = faster path to zero. this is not a turnkey bot. nobody on polymarket is selling a turnkey bot that works. it's a toolkit with three example strategies you fork to fit your own edge. if you don't have an edge - no llm will save you. if you do - run paper mode for a week before flipping live.

@antpalkin just in one month haha huge

A 35-year-old marketer from Hong Kong quit his job and got deeply into AI. Using Claude, he made $360,000 in just one month. He built a perfect BTC price simulation engine with MiroFish. Claude as algorithm’s brain + MiroFish simulation engine allowed him to earn $5,000-$15,000 in profit per trade. His wallet: @marketing101?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@marketing101?… He left a funny easter egg about his previous profession in his Polymarket nickname - he called himself Marketing101. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $366k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don't want to miss his next success trade, starting copy every one of his trades right now using this TG bot: @cvxv666" target="_blank" rel="nofollow noopener">kreo.app/@cvxv666

@undefinedKi a lot of mac minis.. ngl

A guy in china runs dozens of mac minis as full-time employees. Clears six figures a month, 24/7 People see the rack and think the alpha is hardware. It's not The actual unlock is in CLAUDE.md files defining what each agent is NOT allowed to do Template that works even on one machine: ROLE: [architect / coder / reviewer / tester / ops] YOU NEVER: [list of forbidden actions] YOU ALWAYS: [list of required outputs] HANDOFF: [next role in pipeline] TOOLS: [scoped tool access] Instead of one giant CLAUDE.md trying to cover everything, split into role files. Switch which one is loaded depending on the task Same model, different constraints, completely different output quality Specialization beats generalization. Constraints beat capabilities Build accordingly

@0xwhrrari oh yes I saw something like this🫡

Cold DM from a Codex maintainer at OpenAI. Second message in, he drops a screenshot of my own dashboard. "how" I ask how he got the screen. "your node pings a public relay. we monitor it. 26 days uptime on Opus 4.7 against Polymarket. nobody else is doing this. not even us" I ask why OpenAI cares about an Anthropic model printing money. "because Codex can't do it. we tried. 4.7's reasoning trace is different. longer horizon. doesn't panic on partial info. that's why your ring doesn't collapse" I drop the architecture. holaOS is a mech bus, not a bot. github.com/holaboss-ai/ho… - MIT, 2.8k stars, on-chain consensus receipts. Opus 4.7 at the top. Five sub-mechs under it. Each trained to break the others, not agree. "why not Codex under the hood" Codex writes code. 4.7 reads behavior. Different surface. You don't send a compiler to a knife fight. "why five mechs" Four is symmetric. Six starts voting. Five falsifies clean. Not consensus. Falsification. One break kills the trade before the order ever hits the book. Loop is stupid-simple. Every sub-48h Polymarket market runs the ring. Zero falsifiers or no fill. Filter: Edge > 11c Liquidity > $2.5k Resolution < 48h Whale imbalance > 1.7x Whales pre-load. Retail chases the headline. Your entry wedges the pressure zone. Fill lands mid-chat. +$142 on a district election. "execution" github.com/valory-xyz/tra… - autonomous trader, executor layer. github.com/Polymarket/age… - Claude straight into the CLOB. 4.7 closes the sweep in 23 min on a $5 VPS. Kelly-gated by flags. Zero flags full. One soft half. Two skip. Any mech flips to falsifier, flat. Else hold to resolution. Stop 5%. Tape: 444 trades 81% WR Sharpe 3.67 $200 -> $32,480 in 26 days He types for a while. "Anthropic's internal number is 41% fool rate on single-shot. stacked falsification drops it to 7. we benchmarked against that last week. we couldn't replicate with Codex. you did it with off-the-shelf parts" Four Python scripts. Claude Code wrote most of it in a weekend. I just wired the rails. "one thing. rotate red-team prompts every 5 days. agents cache each other's priors. staleness kills falsification faster than drawdown" For those who don't build - t.me/polyfirebot?st… Last message. "if anyone at the lab asks, you reverse-engineered this alone" I did. Found the stack myself. He goes offline. Node keeps printing.

@morpphhhaw it’s literally new reality 👀

most e-commerce operators are still hiring content managers, designers, and listing assistants one guy replaced all of them with Claude Code across 5 platforms simultaneously the same product idea now runs through one workflow: Amazon Merch -> Etsy Digital -> Gumroad -> Shopify 500 reviews analyzed in 2 minutes full listing generated from a single image supplier outreach written before the first coffee $127K/year in team costs replaced by $20/month and a prompt stack - Amazon Merch listing from image upload in seconds - Etsy bestseller analysis + full upgrade strategy - Shopify catalog structured from raw product data - SEO copy, tags, mockups, launch checklist - all generated the repetitive part of e-commerce is gone the people still doing it manually aren't slower they just haven't built the workflow yet

@ridark_eth using claude code only with repos

> be using Claude Code > start with a solid plan, grab lunch, return to implement > Claude ignores the plan, writes 400 lines of mess, hour 6 spent debugging > the fix isn't a new model, but three open-source repos: >> claude-mem: captures sessions in SQLite to fix goldfish memory >> Superpowers: forces the agent to plan and think before typing code >> Everything Claude Code: dozens of specialized agents and slash commands >> AgentShield: prevents "vibe-coding" security leaks and API token theft > result: hour 3 doesn't go off the rails, plans stick, code just works three repos that turn a brilliant but forgetful model into a professional tool

@0xkvro crazy story..

a developer got his agent contract cancelled for building this. i met him at a standing desk in a WeWork in Amsterdam. no laptop bag. one mechanical keyboard. the kind of setup you pack in twenty minutes when you know you're leaving. he looked at my screen. LangGraph open. half-built agent. context window already choking. "how many times has it reset on you today?" three. "that's not a prompt problem." he pulled up a terminal. something running. not an agent. something around the agent. "every framework you've used treats the run as the product. LangGraph. AutoGen. CrewAI. they give you a harness. one execution loop. very good at making a single run work." "but the run ends. and the next one starts from zero." "no memory of what it learned. no tools from last time. no idea what it was in the middle of doing." "you've been engineering the agent. you should be engineering the environment." he opened a diagram. five layers. different colors. different lifetimes. "hot context. what's active right now. prompt, tools, selected files. dies when the step ends." "warm state. what the run pulls on demand. recent memory, last artifacts, last traces." "cold state. the full durable record. everything ever written. never in the prompt by default. queryable when you need it." "action surface. what the run is allowed to call. projected by the environment. not requested by the agent." "review boundary. what earns promotion from a run into durable memory." he paused on the last one. "that's where every DIY stack breaks. no promotion path means no compounding. you either write everything to memory and poison future runs with noise. or you write nothing and reset to zero every session." "the agent never gets better. it just gets a longer context window." his phone buzzed. the client probably. he ignored it. "holaOS fixes this. the harness becomes a thin swappable layer on top. memory, tool wiring, capability rules, output artifacts, continuity state. all durable. all survive when you swap the harness." "swap the model tomorrow. swap the execution layer entirely. five things stay intact. workspace structure. memory surfaces. capability rules. app wiring. operator observability." "the agent isn't the model. it isn't the harness." "the agent is the environment." he closed the terminal. the WeWork desk was already cleared by the time i looked up. went home. opened Claude. "build a long-horizon agent runtime using holaOS. durable memory across sessions. explicit state layers. review boundary for skill promotion. bridge-sdk for app wiring. cronjob layer for 24/7 execution." github.com/holaboss-ai/ho… 4 durable state layers. hot context managed per step. warm state pulled on demand. review boundary with explicit promotion rules. skills auto-extracted from successful run patterns. agents running 40 days without a reset. zero context poisoning from noise memory. harness swapped twice. environment survived both times. runs on: Claude $20. VPS $5. holaOS MIT free. $25/month. install in one line: curl -fsSL raw.githubusercontent.com/holaboss-ai/ho… | bash i don't know which client cancelled him. don't know what they shipped instead. just remember what he said before he walked out. "you've been engineering the agent. you should be engineering the environment." the environment outlasts every run. that's the whole point.

@gippp69 ultimate combo

> guy connects Claude Code to Shopify > store reads product data > Claude writes descriptions > builds SEO fields > organizes collections > updates catalog structure > turns raw products into real pages > what used to take a $2k/month VA + SEO assistant + content manager > now starts collapsing into one terminal The boring part of e-commerce just got a kill switch.