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This is peak crypto alpha stack 2026.. Asked my Browser agent one question: "should i ape $HYPE right now?" [ Full prompt below ] watch what it did in 10 minutes.. > Scraped the entire hyperliquid leaderboard > opened every top trader's profile > pulled their live positions, entries,... show more

Axel Bitblaze 🪓

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23,905 просмотров • 3 месяцев назад •via X (Twitter)

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MY AI AGENT JUST FOUND A $500K/MO APP MARKET NOBODY IS BUILDING FOR. I gave Perplexity Computer ONE prompt: find me an app worth building. it didn't just Google "best app ideas 2026." here's what it actually did in one session: → researched 5 creators on X doing $10-100K/mo from simple apps. verified their revenue. found one was inflating numbers (did this one for fun lol) → pulled Sensor Tower data on 9 app categories. real downloads. real revenue. not blog estimates. → cross-checked TikTok for which app formats were actually going viral right now. view counts. content hooks. distribution proof. → scored every idea on 4 dimensions: virality, build difficulty, revenue ceiling, and competition gap. → I rejected the top 3. it went deeper. found an entire category doing $500K/mo where every app had the same blind spot. This one session replaced a full week of manual digging. Running this twice a month now for my AI app studio. Drop a comment if you want the full prompt. Sharing the app idea next week.

MY AI AGENT JUST FOUND A $500K/MO APP MARKET NOBODY IS BUILDING FOR. I gave Perplexity Computer ONE prompt: find me an app worth building. it didn't just Google "best app ideas 2026." here's what it actually did in one session: → researched 5 creators on X doing $10-100K/mo from simple apps. verified their revenue. found one was inflating numbers (did this one for fun lol) → pulled Sensor Tower data on 9 app categories. real downloads. real revenue. not blog estimates. → cross-checked TikTok for which app formats were actually going viral right now. view counts. content hooks. distribution proof. → scored every idea on 4 dimensions: virality, build difficulty, revenue ceiling, and competition gap. → I rejected the top 3. it went deeper. found an entire category doing $500K/mo where every app had the same blind spot. This one session replaced a full week of manual digging. Running this twice a month now for my AI app studio. Drop a comment if you want the full prompt. Sharing the app idea next week.

Prajwal Tomar

47,839 просмотров • 3 месяцев назад

He walked into a small shop and made it visible to the entire planet. One afternoon. 170 scans. A free app on his phone. He gets $400 for the scan. $99 every month for hosting. The result: a full 3D virtual tour anyone can walk through in a browser. Every shelf. Every product. Every detail of a store that most people would never find on a map. The owner gets more online visitors in a week than she got in-store visitors in a month. That gap is the business. Month one: $3,500. Month six: $18,000. The same model works for hotels, real estate listings, event venues, car dealerships, museums. Every physical space in every city is an untapped asset. Most owners have no idea this exists. He didn't wait for the right client. He walked into a shop and made one.

He walked into a small shop and made it visible to the entire planet. One afternoon. 170 scans. A free app on his phone. He gets $400 for the scan. $99 every month for hosting. The result: a full 3D virtual tour anyone can walk through in a browser. Every shelf. Every product. Every detail of a store that most people would never find on a map. The owner gets more online visitors in a week than she got in-store visitors in a month. That gap is the business. Month one: $3,500. Month six: $18,000. The same model works for hotels, real estate listings, event venues, car dealerships, museums. Every physical space in every city is an untapped asset. Most owners have no idea this exists. He didn't wait for the right client. He walked into a shop and made one.

Superior

16,952 просмотров • 2 месяцев назад

POLYMARKET INSIDER TRACKER: I built an insider detection tool for Polymarket. It maps every wallet betting on a market, flags coordinated clusters and shows you real onchain positions in one click. Launching: Pick any market and: > See every whale, insider and sybil ring on the map > Click a bubble - Polymarket profile - positions - trades > Identify coordinated entries before the price moves. What it can do: > Visualize 200+ real onchain wallets per market in a live force-directed bubble map > Click any bubble and get cost basis, P&L, win rate, trade history, link to their Polymarket profile > Live whale-feed ticker showing every recent BUY / SELL on the market Example flow: You're scrolling Polymarket. A market is trading at 14¢. You open PolyMaps. There's a tight cluster of 7 wallets, all glowing orange. You click one: "Bought $14K @ 13¢, 2h ago." Click another. Same outcome. Same time. Same price. You're watching a coordinated entry in real time. 20 minutes later, the market is at 38¢. Building in public.

Param

17,369 просмотров • 2 месяцев назад

"Where do I even start with Codex?" This 4-project starter pack fixes that: 1) Make a game. Then have the AI play it against itself in the browser. You'll feel where this is heading in 3 months. 2) Research Tell it: max effort, deep research on a topic. Then turn it into a spreadsheet. Then a doc. Then a presentation. One prompt chain. All four formats. 3) Build Upload your website's code. Say "build me a mobile app in Swift." It one-shots full mobile apps now. Every app that can exist, will exist. 4) Automate List every annoying thing you do daily. Pick the worst one. Tell your agent to turn it into an automation. Think: - Make = see the ceiling - Research = see the range - Build = see the speed - Automate = see the leverage You can't be told this. You have to feel it.

"Where do I even start with Codex?" This 4-project starter pack fixes that: 1) Make a game. Then have the AI play it against itself in the browser. You'll feel where this is heading in 3 months. 2) Research Tell it: max effort, deep research on a topic. Then turn it into a spreadsheet. Then a doc. Then a presentation. One prompt chain. All four formats. 3) Build Upload your website's code. Say "build me a mobile app in Swift." It one-shots full mobile apps now. Every app that can exist, will exist. 4) Automate List every annoying thing you do daily. Pick the worst one. Tell your agent to turn it into an automation. Think: - Make = see the ceiling - Research = see the range - Build = see the speed - Automate = see the leverage You can't be told this. You have to feel it.

The Startup Ideas Podcast (SIP) 🧃

24,960 просмотров • 3 месяцев назад

PREDICTION MARKET RESEARCH JUST GOT KILLED BY ONE .MD FILE. The .md file in the video plugs any AI agent into 1,800 live data sources -> Polymarket orderbooks, satellite imagery, vessel tracking, NOAA weather, SEC filings, sports lines, and the top 100 KOL wallets. It's pref.trade. No APIs, no scraping, no signup and no card. An agent with this installed doesn't ask "What's the price". It pulls the orderbook depth on Polymarket, cross-references vessel positions in the Strait of Hormuz, scans the latest SEC filings on the names mentioned, and watches what the top 100 KOL wallets did in the last 4 hours. Before it makes a single call. The numbers are insane: > $0 in API fees. > $0 in data subscriptions. > 670+ capabilities behind a single endpoint. Every datapoint with full provenance back to the source. The mechanism is wild too: It's called Preference. An MCP server that gives any AI agent structured access to prediction markets -> Polymarket, Kalshi, Hyperliquid, dFlow AND the real-world signals that price them. Your agent asks one question, gets the full picture before it acts. It goes way past Polymarket: Smart-money mirroring on the top 100 wallets in real time. Cross-venue arb scanners and event-driven agents that watch tanker traffic in the Strait of Hormuz and trade oil-linked markets. Backtesting pipelines over historical data plus the world signals that moved each market. The model was never the bottleneck. The data was. One agent, one .md file and Live world data on tap. -> Retail still has 12 CoinGecko tabs open. Agents already have the orderbook. Full info and guide at Don't forget to save.

PREDICTION MARKET RESEARCH JUST GOT KILLED BY ONE .MD FILE. The .md file in the video plugs any AI agent into 1,800 live data sources -> Polymarket orderbooks, satellite imagery, vessel tracking, NOAA weather, SEC filings, sports lines, and the top 100 KOL wallets. It's pref.trade. No APIs, no scraping, no signup and no card. An agent with this installed doesn't ask "What's the price". It pulls the orderbook depth on Polymarket, cross-references vessel positions in the Strait of Hormuz, scans the latest SEC filings on the names mentioned, and watches what the top 100 KOL wallets did in the last 4 hours. Before it makes a single call. The numbers are insane: > $0 in API fees. > $0 in data subscriptions. > 670+ capabilities behind a single endpoint. Every datapoint with full provenance back to the source. The mechanism is wild too: It's called Preference. An MCP server that gives any AI agent structured access to prediction markets -> Polymarket, Kalshi, Hyperliquid, dFlow AND the real-world signals that price them. Your agent asks one question, gets the full picture before it acts. It goes way past Polymarket: Smart-money mirroring on the top 100 wallets in real time. Cross-venue arb scanners and event-driven agents that watch tanker traffic in the Strait of Hormuz and trade oil-linked markets. Backtesting pipelines over historical data plus the world signals that moved each market. The model was never the bottleneck. The data was. One agent, one .md file and Live world data on tap. -> Retail still has 12 CoinGecko tabs open. Agents already have the orderbook. Full info and guide at Don't forget to save.

slash1s

61,046 просмотров • 2 месяцев назад

One wallet on Polymarket is literally named "PBot-6" Every single position: 5-minute crypto Up-or-Down. It enters in the last 90 seconds before resolution. Every time. That's not a trader. That's a machine reading Chainlink's lag. I found 6 more just like it. Columbia published the proof last year. 25% of Polymarket volume is wash trading. 14% of wallets are coordinated. Everyone retweeted it. Nobody did anything with it. I did. 86 million trades. One Claude prompt. "build a graph where nodes = wallets, edges = pairs that traded together 10+ times" 412,000 wallet pairs. 23 cluster candidates. 4 filters later: 7 survivors. What I found: Cluster 1. Buy 1-8¢ entries on thin Saturday books while BTC moves on Binance. +3,400% PnL. That's not prediction. That's coordination. Cluster 2. PBot-6 and friends. Enter 90 seconds before resolution. Aligned with Chainlink lag. 71% of entries within 45 seconds of each other. Cluster 3. Buy 0.1¢ entries on "Seoul Mayoral 2026" months out. Entry 0.1¢ → current 50¢. +47,000% PnL. They're not predicting winners. They're farming optionality at sub-penny prices. Cluster 6. $35,000 positions days before token launches. Markets resolve their way every time. This one reads like insider allocation lists. Three rules to fade them: -> Cluster pumps a market. Wait 8 min. Fade the 50% retracement. -> 2+ cluster wallets exit what you're holding. Dump in 30 seconds. No debate. -> Cluster 4 is >40% of last-hour volume. The entire order book is fiction. Skip. 31 days. $300 in. 142 trades. 71% win rate. $16,300 out. Sharpe 2.6. Copytrade here: Stack cost: $25/month. Claude API + $5 VPS. Nothing paywalled. Repos: The clusters are still running right now. PBot-6 opened 3 positions this weekend. The graph doesn't lie. 99.9% will say this is cap. The 0.01% will run the pipeline.

One wallet on Polymarket is literally named "PBot-6" Every single position: 5-minute crypto Up-or-Down. It enters in the last 90 seconds before resolution. Every time. That's not a trader. That's a machine reading Chainlink's lag. I found 6 more just like it. Columbia published the proof last year. 25% of Polymarket volume is wash trading. 14% of wallets are coordinated. Everyone retweeted it. Nobody did anything with it. I did. 86 million trades. One Claude prompt. "build a graph where nodes = wallets, edges = pairs that traded together 10+ times" 412,000 wallet pairs. 23 cluster candidates. 4 filters later: 7 survivors. What I found: Cluster 1. Buy 1-8¢ entries on thin Saturday books while BTC moves on Binance. +3,400% PnL. That's not prediction. That's coordination. Cluster 2. PBot-6 and friends. Enter 90 seconds before resolution. Aligned with Chainlink lag. 71% of entries within 45 seconds of each other. Cluster 3. Buy 0.1¢ entries on "Seoul Mayoral 2026" months out. Entry 0.1¢ → current 50¢. +47,000% PnL. They're not predicting winners. They're farming optionality at sub-penny prices. Cluster 6. $35,000 positions days before token launches. Markets resolve their way every time. This one reads like insider allocation lists. Three rules to fade them: -> Cluster pumps a market. Wait 8 min. Fade the 50% retracement. -> 2+ cluster wallets exit what you're holding. Dump in 30 seconds. No debate. -> Cluster 4 is >40% of last-hour volume. The entire order book is fiction. Skip. 31 days. $300 in. 142 trades. 71% win rate. $16,300 out. Sharpe 2.6. Copytrade here: Stack cost: $25/month. Claude API + $5 VPS. Nothing paywalled. Repos: The clusters are still running right now. PBot-6 opened 3 positions this weekend. The graph doesn't lie. 99.9% will say this is cap. The 0.01% will run the pipeline.

Trackmind

20,082 просмотров • 3 месяцев назад

I just ran a full research project without doing any research. Lemma by Analemma did everything: 1. Explore I typed a question. It mapped the entire field. Concepts, references, key papers. Done. 2. Survey I asked for a literature review. It gave me 50+ pages with real citations. Not a summary. A publication-grade draft. 3. Code I described an experiment. It wrote the code, ran it, showed results. 4. FARS I gave it a research direction. It generated hypotheses, planned experiments, ran them, and wrote the full paper. Zero input from me after that. This is the first tool I've used that actually runs research instead of just helping you do it. FARS already ran live and produced 100 papers in 10 days. One every 2 hours. Watch it here: This is what "Vibe Research" looks like.

I just ran a full research project without doing any research. Lemma by Analemma did everything: 1. Explore I typed a question. It mapped the entire field. Concepts, references, key papers. Done. 2. Survey I asked for a literature review. It gave me 50+ pages with real citations. Not a summary. A publication-grade draft. 3. Code I described an experiment. It wrote the code, ran it, showed results. 4. FARS I gave it a research direction. It generated hypotheses, planned experiments, ran them, and wrote the full paper. Zero input from me after that. This is the first tool I've used that actually runs research instead of just helping you do it. FARS already ran live and produced 100 papers in 10 days. One every 2 hours. Watch it here: This is what "Vibe Research" looks like.

Muhammad Ayan

39,960 просмотров • 1 месяц назад

Someone just posted the full blueprint for an AI swarm that does the job of a 200-person quant research team. Six agents. Running 24/7. Finding brand-new alpha while you sleep. Citadel needs 100 PhDs to do this. Two Sigma needs 200. This does it with six bots and one laptop. Two ways to play this - spend a weekend building your own swarm, or copy the wallet of one that's already up $2M: Boris Cherny runs Claude Code at Anthropic. Two weeks ago he said: "I don't prompt Claude anymore. I have loops running that prompt Claude. My job is to write loops" Alpha research is just a pipeline. So instead of sitting in it, you hand each stage to its own agent: > one reads every new research paper overnight and pulls out the trade idea > one builds the features and cleans the data > one backtests it over 20 years, costs and slippage included > one runs the hard stats and kills anything overfit > one checks it still works in every market regime > one strips out plain momentum and value to see if any real edge is left Each of those six is a job a fund pays a $600,000-a-year quant to do. He runs all six for the price of an API bill. The rule that makes it work: the agent that builds a signal never gets to approve it. A separate, stronger agent tries to kill it first. Whatever survives all six by morning is real, new alpha. One trader's already running this exact swarm on Polymarket. That $2M wallet is public, every trade on-chain. The full build is in the post below - six agents, the tool that runs them, and the five mistakes that kill most people. Bookmark & read this before it's buried.

cvxv666

103,359 просмотров • 23 дней назад

THE $15,000 REAL ESTATE COMMISSION JUST DIED this house was scanned with a phone and uploaded the result is a full 3D walkthrough anyone can open in a browser tab no agent needed to show it, no appointment, no VR headset the numbers don't make sense: > agent fee on a $500k deal: $15,000 > cost to scan this house: $200 > time to scan 50 properties: one weekend > file size: smaller than a TikTok video the tech is called 3D Gaussian Splatting instead of flat photos, AI reconstructs every surface, every shadow, every angle from your phone camera the result loads instantly and looks like you're standing inside freelancers are already charging $300-800 per scan realtors, Airbnbs, car dealers, venues, museums one person, one phone, one weekend the full playbook for building a business around this is in the article below

THE $15,000 REAL ESTATE COMMISSION JUST DIED this house was scanned with a phone and uploaded the result is a full 3D walkthrough anyone can open in a browser tab no agent needed to show it, no appointment, no VR headset the numbers don't make sense: > agent fee on a $500k deal: $15,000 > cost to scan this house: $200 > time to scan 50 properties: one weekend > file size: smaller than a TikTok video the tech is called 3D Gaussian Splatting instead of flat photos, AI reconstructs every surface, every shadow, every angle from your phone camera the result loads instantly and looks like you're standing inside freelancers are already charging $300-800 per scan realtors, Airbnbs, car dealers, venues, museums one person, one phone, one weekend the full playbook for building a business around this is in the article below

Anatoli Kopadze

38,286 просмотров • 2 месяцев назад

my bot scanned 400,000 wallets to find the best trader on polymarket $4.7M profit. 91% win rate. 23,000 positions. then i found 30 wallets doing the exact same trades within 800 milliseconds of his one parent wallet. 30 children. all funded in $2,000-$5,000 chunks from the same source. every child runs the same bayesian update loop - scrapes polling aggregators, NOAA feeds, injury reports, on-chain sentiment. updates priors every 90 seconds. places orders through CLOB API with near-identical EIP-712 signatures. volume is split so no single wallet ever crosses $200K in open positions. invisible on every leaderboard. never triggers size alerts. combined P&L across all 31 wallets: $11.2M in 4 months if one wallet drops below 58% win rate over 500 trades, funding stops. a new wallet appears 3 days later. natural selection for trading bots. the operator is evolving them. the whole thing runs on four $4.5/month VPS instances. goroutines, not python. sub-47ms execution. somewhere one person is running a silent empire across 31 wallets nobody on the platform knows they're related i know because my bot just copied all 31 of them

my bot scanned 400,000 wallets to find the best trader on polymarket $4.7M profit. 91% win rate. 23,000 positions. then i found 30 wallets doing the exact same trades within 800 milliseconds of his one parent wallet. 30 children. all funded in $2,000-$5,000 chunks from the same source. every child runs the same bayesian update loop - scrapes polling aggregators, NOAA feeds, injury reports, on-chain sentiment. updates priors every 90 seconds. places orders through CLOB API with near-identical EIP-712 signatures. volume is split so no single wallet ever crosses $200K in open positions. invisible on every leaderboard. never triggers size alerts. combined P&L across all 31 wallets: $11.2M in 4 months if one wallet drops below 58% win rate over 500 trades, funding stops. a new wallet appears 3 days later. natural selection for trading bots. the operator is evolving them. the whole thing runs on four $4.5/month VPS instances. goroutines, not python. sub-47ms execution. somewhere one person is running a silent empire across 31 wallets nobody on the platform knows they're related i know because my bot just copied all 31 of them

Argona

56,209 просмотров • 4 месяцев назад

i gave a 9B model an agentic OS and told it to build Octopus Invaders from scratch. Qwen 3.5 9B running through Hermes Agent with full tool access on a single 3060 12GB. browser, file system, code execution, terminal. it reads the prompt, plans the architecture, writes every file, and serves the game. one prompt, zero steering, 11 minutes. i've been going back and forth with this model for days now. text, code, reasoning. it handles small chats, batching, bash scripting. at 9B it's fast enough to feel interactive and genuinely useful for local workflows where you'd normally reach for an API. but this is the real test. can it architect and build a full game autonomously without a single correction? it's coding right now. results coming next.

i gave a 9B model an agentic OS and told it to build Octopus Invaders from scratch. Qwen 3.5 9B running through Hermes Agent with full tool access on a single 3060 12GB. browser, file system, code execution, terminal. it reads the prompt, plans the architecture, writes every file, and serves the game. one prompt, zero steering, 11 minutes. i've been going back and forth with this model for days now. text, code, reasoning. it handles small chats, batching, bash scripting. at 9B it's fast enough to feel interactive and genuinely useful for local workflows where you'd normally reach for an API. but this is the real test. can it architect and build a full game autonomously without a single correction? it's coding right now. results coming next.

Sudo su

65,570 просмотров • 4 месяцев назад

🚨 SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY A guy scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The numbers are insane: - Agent fee on a $500k home: $15,000 - Cost to make this scan: ~$200 - Time to “tour” 50 houses: one evening - File size: smaller than a TikTok The science is wild too: It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth. AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE. The grift opportunity is even wilder: Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums. One person + one phone + one weekend = a business. 100% Open source. Built on PlayCanvas.

🚨 SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY A guy scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The numbers are insane: - Agent fee on a $500k home: $15,000 - Cost to make this scan: ~$200 - Time to “tour” 50 houses: one evening - File size: smaller than a TikTok The science is wild too: It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth. AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE. The grift opportunity is even wilder: Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums. One person + one phone + one weekend = a business. 100% Open source. Built on PlayCanvas.

ZoAina_AI

1,519,713 просмотров • 2 месяцев назад

SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY A guy scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The numbers are insane: - Agent fee on a $500k home: $15,000 - Cost to make this scan: ~$200 - Time to “tour” 50 houses: one evening - File size: smaller than a TikTok The science is wild too: It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth. AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE. The grift opportunity is even wilder: Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums. One person + one phone + one weekend = a business. Open source. Built on PlayCanvas. Free GitHub:

SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY A guy scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The numbers are insane: - Agent fee on a $500k home: $15,000 - Cost to make this scan: ~$200 - Time to “tour” 50 houses: one evening - File size: smaller than a TikTok The science is wild too: It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth. AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE. The grift opportunity is even wilder: Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums. One person + one phone + one weekend = a business. Open source. Built on PlayCanvas. Free GitHub:

AdiiX

9,725,904 просмотров • 2 месяцев назад

Trade on Hyperliquid with Natural Language 🐉 We just made trading on Hyperliquid faster, simpler, and way more accessible. Cortex now supports Hyperliquid, fully integrated into our natural language interface. That means you can trade directly from chat using plain English: "Long 20x BTC at market, set TP at $110k, SL at $105k" "What is the funding rate for ETH-PERP?" "Close all my positions!" Behind the scenes, Cortex handles everything: parsing your intent, checking your balances, placing the trade on-chain, and tracking the position in real time. No forms, no buttons, no guesswork. What’s New Full Hyperliquid Terminal, Powered by Language - Access funding rates, open interest, volume, orderbook, and positions across all pairs, LIVE. Novel Trade Execution in Natural Language - Market, limit, stop, TP/SL executed in real-time via plain text commands. It’s the fastest way to trade Hyperliquid. - One click, signless position opening and closing. HYPE Onboarding Built In - New to Hyperliquid? Cortex walks you through buying $HYPE, bridging USDC to Arbitrum, and funding your account all in one UI. No need to leave the app or touch a separate bridge. Live Position Tracking - See your active positions update as you trade. Ask “how’s my BTC long doing?” and Cortex tells you: P&L, liquidation risk, everything. - Examine all of your on-chain balances, including HyperCore and HyperEVM. Hyperliquid is one of the fastest-growing protocols in DeFi ever with an incredibly rich, builder-friendly, and growing ecosystem, but onboarding has been a pain: bridging, swapping, funding, trading, etc. fragmented. We fixed that. Cortex brings it all into one place, one interface, and one language: yours. Try It Now! Jump into the Cortex app and type: “Open a 5x long on ETH” We'll handle the rest. Welcome to the new standard in crypto trading. Hyperliquid.

Trade on Hyperliquid with Natural Language 🐉 We just made trading on Hyperliquid faster, simpler, and way more accessible. Cortex now supports Hyperliquid, fully integrated into our natural language interface. That means you can trade directly from chat using plain English: "Long 20x BTC at market, set TP at $110k, SL at $105k" "What is the funding rate for ETH-PERP?" "Close all my positions!" Behind the scenes, Cortex handles everything: parsing your intent, checking your balances, placing the trade on-chain, and tracking the position in real time. No forms, no buttons, no guesswork. What’s New Full Hyperliquid Terminal, Powered by Language - Access funding rates, open interest, volume, orderbook, and positions across all pairs, LIVE. Novel Trade Execution in Natural Language - Market, limit, stop, TP/SL executed in real-time via plain text commands. It’s the fastest way to trade Hyperliquid. - One click, signless position opening and closing. HYPE Onboarding Built In - New to Hyperliquid? Cortex walks you through buying $HYPE, bridging USDC to Arbitrum, and funding your account all in one UI. No need to leave the app or touch a separate bridge. Live Position Tracking - See your active positions update as you trade. Ask “how’s my BTC long doing?” and Cortex tells you: P&L, liquidation risk, everything. - Examine all of your on-chain balances, including HyperCore and HyperEVM. Hyperliquid is one of the fastest-growing protocols in DeFi ever with an incredibly rich, builder-friendly, and growing ecosystem, but onboarding has been a pain: bridging, swapping, funding, trading, etc. fragmented. We fixed that. Cortex brings it all into one place, one interface, and one language: yours. Try It Now! Jump into the Cortex app and type: “Open a 5x long on ETH” We'll handle the rest. Welcome to the new standard in crypto trading. Hyperliquid.

cortexprotocol.hl

23,782 просмотров • 1 год назад

A Google DeepMind researcher cornered me at a bar in Hayes Valley I was showing my Polymarket PNL to a friend. She leaned over. Didn't introduce herself. "That's not a trading app. Show me your stack" I told her. Claude Code. Four repos. $25 a month. She set down her drink. "We tested this internally. You connect Claude directly to a dataset. It builds its own detectors. But nobody ships it because compliance kills everything" I asked what she meant. She took my phone. Opened one link. 86 million trades. Every wallet. Every entry. Every exit. "You don't tell Claude what to look for. It finds the wallets that win. Then it finds WHY they win. Then it copies the pattern" Her team spent 9 months building this for a hedge fund. 14 people. $2M budget. "The part that took us the longest - exit logic. Everyone thinks entries matter. They don't. Exits are the entire game" I told her my bot cuts at 85% of expected move or on a 3x volume spike. She went quiet. "Who taught you that" Claude Code found it in poly_data. Top wallets exit before resolution 91% of the time. They capture the move and leave. She opened another link. "This is the scanner. Three commands. 500+ markets. No API key. Claude scores them in 20 minutes" "That's our exact infra. Except it took us 9 months and you did it in a weekend" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 19 days. 4 agents. 74% win rate. Copytrade here: I showed her the article where I broke down every repo, every command, every dollar. She read it for five minutes. Then: "You just open-sourced our entire pipeline" She texted me the next day. "My team lead saw your thread. Take it down" Too late.

A Google DeepMind researcher cornered me at a bar in Hayes Valley I was showing my Polymarket PNL to a friend. She leaned over. Didn't introduce herself. "That's not a trading app. Show me your stack" I told her. Claude Code. Four repos. $25 a month. She set down her drink. "We tested this internally. You connect Claude directly to a dataset. It builds its own detectors. But nobody ships it because compliance kills everything" I asked what she meant. She took my phone. Opened one link. 86 million trades. Every wallet. Every entry. Every exit. "You don't tell Claude what to look for. It finds the wallets that win. Then it finds WHY they win. Then it copies the pattern" Her team spent 9 months building this for a hedge fund. 14 people. $2M budget. "The part that took us the longest - exit logic. Everyone thinks entries matter. They don't. Exits are the entire game" I told her my bot cuts at 85% of expected move or on a 3x volume spike. She went quiet. "Who taught you that" Claude Code found it in poly_data. Top wallets exit before resolution 91% of the time. They capture the move and leave. She opened another link. "This is the scanner. Three commands. 500+ markets. No API key. Claude scores them in 20 minutes" "That's our exact infra. Except it took us 9 months and you did it in a weekend" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 19 days. 4 agents. 74% win rate. Copytrade here: I showed her the article where I broke down every repo, every command, every dollar. She read it for five minutes. Then: "You just open-sourced our entire pipeline" She texted me the next day. "My team lead saw your thread. Take it down" Too late.

Lunar

124,273 просмотров • 3 месяцев назад

An OpenAI researcher sat down next to me at a coffee shop in Mission District I had my terminal open. Three panels. Live trades scrolling. He was reading something on his laptop. Glanced over. Stopped reading. "That's not a dashboard. That's a live scoring engine. What model is running that" I told him. Claude Code. Four repos. $25 a month. He closed his laptop. "I work at OpenAI. We benchmarked Claude internally last month. You're using it to trade prediction markets?" I opened one link. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "This is public? We quoted a seven-figure budget to reconstruct this kind of dataset from on-chain data. The project is still in review" I told him Claude Code connects directly. It reads the whole dataset. Finds the wallets that win. Then finds WHY they win. Then copies the pattern. He pulled his chair closer. "Walk me through the exit logic" Top wallets exit before resolution 91% of the time. They capture 86% of the move and cut losers at 12%. Everyone else holds to 58%. Same entries. Completely different exits. My bot cuts at 85% of expected move. Or on a 3x volume spike. Whichever hits first. "Who gave you that threshold" Claude Code found it in poly_data. In about 20 minutes. "We had a team of nine working on this exact problem for six months. They never shipped it. You did it in a weekend with a competitor's model" I opened another link. Three commands. 500+ markets. No API key. Claude scores them in 20 minutes. "That's our internal eval pipeline. Except it took us six months and you built it on a Saturday" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 19 days. 4 agents. 74% win rate. +$9,400. Copytrade here: I showed him the article where I broke down every repo, every command, every dollar. He read it for five minutes. Then looked up. "You just published what we presented to Sam last quarter. Using the other team's model" He texted me the next morning. "My director found your thread. Take it down" Too late.

An OpenAI researcher sat down next to me at a coffee shop in Mission District I had my terminal open. Three panels. Live trades scrolling. He was reading something on his laptop. Glanced over. Stopped reading. "That's not a dashboard. That's a live scoring engine. What model is running that" I told him. Claude Code. Four repos. $25 a month. He closed his laptop. "I work at OpenAI. We benchmarked Claude internally last month. You're using it to trade prediction markets?" I opened one link. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "This is public? We quoted a seven-figure budget to reconstruct this kind of dataset from on-chain data. The project is still in review" I told him Claude Code connects directly. It reads the whole dataset. Finds the wallets that win. Then finds WHY they win. Then copies the pattern. He pulled his chair closer. "Walk me through the exit logic" Top wallets exit before resolution 91% of the time. They capture 86% of the move and cut losers at 12%. Everyone else holds to 58%. Same entries. Completely different exits. My bot cuts at 85% of expected move. Or on a 3x volume spike. Whichever hits first. "Who gave you that threshold" Claude Code found it in poly_data. In about 20 minutes. "We had a team of nine working on this exact problem for six months. They never shipped it. You did it in a weekend with a competitor's model" I opened another link. Three commands. 500+ markets. No API key. Claude scores them in 20 minutes. "That's our internal eval pipeline. Except it took us six months and you built it on a Saturday" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 19 days. 4 agents. 74% win rate. +$9,400. Copytrade here: I showed him the article where I broke down every repo, every command, every dollar. He read it for five minutes. Then looked up. "You just published what we presented to Sam last quarter. Using the other team's model" He texted me the next morning. "My director found your thread. Take it down" Too late.

Lunar

159,690 просмотров • 3 месяцев назад

AI is the single greatest innovation in human history. The only thing that comes close is splitting the atom. Every economic system we've ever built runs on the scarcity of knowledge. Lawyers, doctors, experts of every kind… they get paid because what they know is scarce. With AI, knowledge is now infinite. That breaks everything. Our entire economic model, as well as our understanding of what humans do, and what we're for. This is the Exponential Age. I've been mapping this out for years across Real Vision and GMI, piecing it together as it unfolded. Today I wrote a full breakdown that pulls it all into one place. Link below.

AI is the single greatest innovation in human history. The only thing that comes close is splitting the atom. Every economic system we've ever built runs on the scarcity of knowledge. Lawyers, doctors, experts of every kind… they get paid because what they know is scarce. With AI, knowledge is now infinite. That breaks everything. Our entire economic model, as well as our understanding of what humans do, and what we're for. This is the Exponential Age. I've been mapping this out for years across Real Vision and GMI, piecing it together as it unfolded. Today I wrote a full breakdown that pulls it all into one place. Link below.

Raoul Pal

171,776 просмотров • 15 дней назад

I asked ChatGPT to find me the most profitable wallet on the platform. It said it can't access live blockchain data. So I asked Claude. Claude wrote a Python script in 4 minutes. Script scanned 200,000 wallets. Ranked them by ROI. Filtered by active in last 30 days. Top result made me close my laptop and go for a walk. RN1. $5,317,622 profit. 36,298 predictions. Since December 2024. → Wallet: I didn't believe the number. Ran the script again. Same result. $5.3 million. In 14 months. Across every sport that exists. Counter-Strike. TheMongolz vs B8. Payout: $158,533. Tennis. NFL. Bundesliga. Serie A. Counter-Strike. Premier League. All at once. 36,298 bets. Every sport. Every league. 624,000 people already watching. Then I did something stupid. I asked Claude to reverse engineer the strategy. Claude analyzed 200 positions. Came back with one sentence: This wallet buys mathematically mispriced underdogs across every market where the crowd overvalues the favorite. I asked: Can you build a bot that does this? Claude: I can write the logic. You need the API key and capital. 14 lines of Python. One prompt. One afternoon. I haven't deployed it yet. Still staring at the code. Still staring at $5.3 million. The wallet doesn't care about teams. Doesn't watch games. Doesn't read news. Just finds where 36 cents should be 65 cents. And buys. I asked Claude one more thing: What's stopping everyone from doing this? Claude: Nothing. They just haven't asked.

I asked ChatGPT to find me the most profitable wallet on the platform. It said it can't access live blockchain data. So I asked Claude. Claude wrote a Python script in 4 minutes. Script scanned 200,000 wallets. Ranked them by ROI. Filtered by active in last 30 days. Top result made me close my laptop and go for a walk. RN1. $5,317,622 profit. 36,298 predictions. Since December 2024. → Wallet: I didn't believe the number. Ran the script again. Same result. $5.3 million. In 14 months. Across every sport that exists. Counter-Strike. TheMongolz vs B8. Payout: $158,533. Tennis. NFL. Bundesliga. Serie A. Counter-Strike. Premier League. All at once. 36,298 bets. Every sport. Every league. 624,000 people already watching. Then I did something stupid. I asked Claude to reverse engineer the strategy. Claude analyzed 200 positions. Came back with one sentence: This wallet buys mathematically mispriced underdogs across every market where the crowd overvalues the favorite. I asked: Can you build a bot that does this? Claude: I can write the logic. You need the API key and capital. 14 lines of Python. One prompt. One afternoon. I haven't deployed it yet. Still staring at the code. Still staring at $5.3 million. The wallet doesn't care about teams. Doesn't watch games. Doesn't read news. Just finds where 36 cents should be 65 cents. And buys. I asked Claude one more thing: What's stopping everyone from doing this? Claude: Nothing. They just haven't asked.

Marlow

217,179 просмотров • 4 месяцев назад

I lost my job yesterday Rent was due No backup plan Then I remembered I still had Claude Asked it: “Analyze every top Polymarket wallet from the last 90 days and build me something” $25 → $4,237 in one night It ingested 10,000 wallets Cross-referenced win rates, sizing patterns Market selection identified 7 traders whose edge wasn’t luck Then it built an autonomous AI agent Not a script — not an if-then bot An agent that reads live news feeds Maps them to open markets Runs probabilistic inference on crowd mispricing Detects cross-market arbitrage between correlated outcomes Sizes positions using Kelly Criterion derived from the wallet patterns it studied I deployed it at 11:47PM Closed the laptop Woke up to a notification $25 → $4,237 94 trades while I slept Never asked me anything Never paused Never second-guessed That’s the entire game Information asymmetry at machine speed Wall Street pays $2M/year for this I paid $20/month for Claude Copy it here:

I lost my job yesterday Rent was due No backup plan Then I remembered I still had Claude Asked it: “Analyze every top Polymarket wallet from the last 90 days and build me something” $25 → $4,237 in one night It ingested 10,000 wallets Cross-referenced win rates, sizing patterns Market selection identified 7 traders whose edge wasn’t luck Then it built an autonomous AI agent Not a script — not an if-then bot An agent that reads live news feeds Maps them to open markets Runs probabilistic inference on crowd mispricing Detects cross-market arbitrage between correlated outcomes Sizes positions using Kelly Criterion derived from the wallet patterns it studied I deployed it at 11:47PM Closed the laptop Woke up to a notification $25 → $4,237 94 trades while I slept Never asked me anything Never paused Never second-guessed That’s the entire game Information asymmetry at machine speed Wall Street pays $2M/year for this I paid $20/month for Claude Copy it here:

Discover

1,119,257 просмотров • 3 месяцев назад

Founders spending $30K/year on agencies in 2026 haven't found naïve yet. One prompt does everything they're charging you for. I opened Naive, typed one sentence, and a full team of AI employees spun up and started building my online brand, immediately. No agency pitch deck. No onboarding call. No monthly retainer. Here's my team right now: → Marketer: running content & outreach on autopilot, zero posts from me → Engineer: building the store, shipping updates, zero reviews from me → Finance: tracking every dollar, reconciling accounts, generating reports 24/7 Each agent has their own email, bank account, phone number, and workspace. They share context, delegate tasks, and coordinate as a real team. Every outcome feeds a self-improvement loop, they get smarter with every task and every sale. I set a budget. I set one goal: first sale within 7 days. Then I walked away. What one prompt replaced: ❌ $10K developer → Engineer agent ✔️ ❌ $8K marketing agency → Marketer agent ✔️ ❌ $5K finance consultant → Finance agent ✔️ What founders on this platform are seeing right now: • Real ARR generated with zero human employees • Active businesses growing 32% week over week • Tasks completed growing 42% week over week You're still paying agencies for work one prompt handles completely. Try it free at 👉 Your first AI team is one sentence away. #NaïveAI2B9YHR

Gina Acosta

23,648 просмотров • 3 месяцев назад