rari

@0xwhrrari • 12,548 subscribers

building @kollectivexyz ai | prediction markets | solo setups dm always open... 444

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My Uber driver asked what I do for work. "Software." "Cool. Can you look at something?" He handed me his phone at a red light. Terminal. Claude chat. Green P&L. +$6,200. He drives Uber 4 days a week. Makes $1,100. Has a 2-year-old daughter. "Where did you find this?" "Your article. The 14,000 wallets one." He read it three months ago. Didn't understand half of it. Asked Claude to explain it like he's five. 214 messages. All during breaks between rides. Parked at gas stations. Waiting for pings. First thing Claude told him: 87% of wallets lose money. Don't be the 87%. He installed poly_data. Fed it to Claude. Found 47 wallets with Sharpe above 2.0. Filtered crypto only. Quarter Kelly. $200 starting bankroll. From his tips. Try copytrade bot here: 93 messages later Claude helped him build the 20-line brain from the article. Bayesian updates. EV filter at 5%. Fully automated. Last 45 days: → 480 trades → 91.3% win rate → +$6,200 Best trade: whale convergence on Fed rate cut. 4 wallets entered in 2 minutes. Entry $0.12. Resolved $1.00. +$1,760. While dropping off a passenger at JFK. The passenger tipped him $5. The bot made $1,760. His wife found the Telegram alerts on his phone. Thought he was texting another woman. He showed her the P&L curve. "Can you make me one?" "How long until you quit driving?" He looked at me through the rearview mirror. "I'm not stopping. Uber is my cover story." I wrote the article. He actually opened terminal.

My Uber driver asked what I do for work. "Software." "Cool. Can you look at something?" He handed me his phone at a red light. Terminal. Claude chat. Green P&L. +$6,200. He drives Uber 4 days a week. Makes $1,100. Has a 2-year-old daughter. "Where did you find this?" "Your article. The 14,000 wallets one." He read it three months ago. Didn't understand half of it. Asked Claude to explain it like he's five. 214 messages. All during breaks between rides. Parked at gas stations. Waiting for pings. First thing Claude told him: 87% of wallets lose money. Don't be the 87%. He installed poly_data. Fed it to Claude. Found 47 wallets with Sharpe above 2.0. Filtered crypto only. Quarter Kelly. $200 starting bankroll. From his tips. Try copytrade bot here: 93 messages later Claude helped him build the 20-line brain from the article. Bayesian updates. EV filter at 5%. Fully automated. Last 45 days: → 480 trades → 91.3% win rate → +$6,200 Best trade: whale convergence on Fed rate cut. 4 wallets entered in 2 minutes. Entry $0.12. Resolved $1.00. +$1,760. While dropping off a passenger at JFK. The passenger tipped him $5. The bot made $1,760. His wife found the Telegram alerts on his phone. Thought he was texting another woman. He showed her the P&L curve. "Can you make me one?" "How long until you quit driving?" He looked at me through the rearview mirror. "I'm not stopping. Uber is my cover story." I wrote the article. He actually opened terminal.

157,300 views

An Anthropic team lead emailed me. From a corporate address. I thought it was a scam. "Your Polymarket wallet is on page 14 of our internal research deck" A screenshot. My wallet. Inside a slide labeled "external validation - top 0.1% exit structure" Their model flagged me. Not a human. Claude 4.7 picked my wallet out of 12,000 during training. "You exit before the volume spike. Every single time. We couldn't replicate that in our sandbox until 4.7" He asked me to switch to Opus 4.7 and post my results publicly. "I need proof this works in the wild. Not in our evals. No one trusts benchmarks anymore" I switched in 20 minutes. Didn't touch a single prompt. First 48 hours. 11 trades. 10 green. The one red lost $40. The greens made $3,200. "Your old model captured 68% of the move. 4.7 captures 89%. That's not tuning. That's a different brain" Same repos his team benchmarks against. Open source. Full stack. I asked why Anthropic cares about one random trader. "Because your live wallet is better proof than any paper we could publish" 187 trades since the switch. 80% hit. Sharpe sitting at 3.04. Breakdown by category: Crypto: +$7,400 Politics: +$5,100 Weather derivatives: +$3,500 Macro: +$2,300 Total: +$18,300 from $200 seed. 31 days. Bot for those who don't build: He asked me not to share the slides. I didn't. But I'm sharing everything else.

An Anthropic team lead emailed me. From a corporate address. I thought it was a scam. "Your Polymarket wallet is on page 14 of our internal research deck" A screenshot. My wallet. Inside a slide labeled "external validation - top 0.1% exit structure" Their model flagged me. Not a human. Claude 4.7 picked my wallet out of 12,000 during training. "You exit before the volume spike. Every single time. We couldn't replicate that in our sandbox until 4.7" He asked me to switch to Opus 4.7 and post my results publicly. "I need proof this works in the wild. Not in our evals. No one trusts benchmarks anymore" I switched in 20 minutes. Didn't touch a single prompt. First 48 hours. 11 trades. 10 green. The one red lost $40. The greens made $3,200. "Your old model captured 68% of the move. 4.7 captures 89%. That's not tuning. That's a different brain" Same repos his team benchmarks against. Open source. Full stack. I asked why Anthropic cares about one random trader. "Because your live wallet is better proof than any paper we could publish" 187 trades since the switch. 80% hit. Sharpe sitting at 3.04. Breakdown by category: Crypto: +$7,400 Politics: +$5,100 Weather derivatives: +$3,500 Macro: +$2,300 Total: +$18,300 from $200 seed. 31 days. Bot for those who don't build: He asked me not to share the slides. I didn't. But I'm sharing everything else.

23,572 views

My mass communications professor mass-emailed the wrong file to 400 students. It wasn't grades. It wasn't the syllabus. It was a spreadsheet. 2,300 Polymarket positions. Entries, exits, timestamps. Seven figures in volume. He recalled it in 9 minutes. I already had it saved. Opened it at 2am. Couldn't sleep. Every winning trade had the same pattern - he was buying contracts where the price was way off from what the data said. Not gut calls. Math. I spent 4 days trying to reverse-engineer his edge. Pulled 86M fills from one repo: Fed everything into Claude. "Compare true probability vs market price on every contract updated in the last 6 hours." First version was garbage. 52% hit rate. Worse than a coin flip. Then I added one filter - only enter when Claude's estimate diverges from market price by more than 14%. Everything changed. Scanner runs every 11 seconds. 8 bots splitting the work. Claude scores every contract before entry. Try to copytrade: $1,500 starting bankroll. 7 weeks later: → 191 trades → 74% win rate → +$8,340 Saw him in lecture last Thursday. He was reading something on his phone under the desk. It was my tweet about prediction markets. He looked up. We made eye contact. He didn't say anything. But he smiled. I think he knows.

My mass communications professor mass-emailed the wrong file to 400 students. It wasn't grades. It wasn't the syllabus. It was a spreadsheet. 2,300 Polymarket positions. Entries, exits, timestamps. Seven figures in volume. He recalled it in 9 minutes. I already had it saved. Opened it at 2am. Couldn't sleep. Every winning trade had the same pattern - he was buying contracts where the price was way off from what the data said. Not gut calls. Math. I spent 4 days trying to reverse-engineer his edge. Pulled 86M fills from one repo: Fed everything into Claude. "Compare true probability vs market price on every contract updated in the last 6 hours." First version was garbage. 52% hit rate. Worse than a coin flip. Then I added one filter - only enter when Claude's estimate diverges from market price by more than 14%. Everything changed. Scanner runs every 11 seconds. 8 bots splitting the work. Claude scores every contract before entry. Try to copytrade: $1,500 starting bankroll. 7 weeks later: → 191 trades → 74% win rate → +$8,340 Saw him in lecture last Thursday. He was reading something on his phone under the desk. It was my tweet about prediction markets. He looked up. We made eye contact. He didn't say anything. But he smiled. I think he knows.

10,908 views

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Google Brain founder Andrew Ng: "Prompting will be dead in 6 months" "Loops and graphs are replacing it" In just 2 hours, he shows how to build agents that work, learn, and improve on their own LLMs → Agents → Loops → Graphs → Self-Improving Systems The first 15 minutes alone are more valuable than most $500 AI courses Most people are still learning prompts while AI engineering is already moving beyond them Watch the lecture first Then read the full guide to loops and graphs below ↓

Google Brain founder Andrew Ng: "Prompting will be dead in 6 months" "Loops and graphs are replacing it" In just 2 hours, he shows how to build agents that work, learn, and improve on their own LLMs → Agents → Loops → Graphs → Self-Improving Systems The first 15 minutes alone are more valuable than most $500 AI courses Most people are still learning prompts while AI engineering is already moving beyond them Watch the lecture first Then read the full guide to loops and graphs below ↓

129,506 views • 5 days ago

Anthropic engineer: "90% of our engineers were already running self-improving loops Now everyone is moving toward agentic graphs" "Prompting is basically finished" In just 10 minutes, she builds her complete Claude Code setup live from an empty terminal Agents → Loops → Graphs → Self-Improving Systems Prompting was the old workflow Graph engineering is the next one This 10-minute breakdown is worth more than most $1,000 agent engineering courses Watch it today Then save the full guide below before everyone catches on ↓

Anthropic engineer: "90% of our engineers were already running self-improving loops Now everyone is moving toward agentic graphs" "Prompting is basically finished" In just 10 minutes, she builds her complete Claude Code setup live from an empty terminal Agents → Loops → Graphs → Self-Improving Systems Prompting was the old workflow Graph engineering is the next one This 10-minute breakdown is worth more than most $1,000 agent engineering courses Watch it today Then save the full guide below before everyone catches on ↓

200,865 views • 10 days ago

Anthropic Research Lead: "99% of our engineers run swarms of 300+ self-improving agents" "Now everyone is building agentic graphs" In a 20-minute session, an Anthropic team member breaks down how graph engineering turns isolated agents into systems that improve themselves The real setup is Claude running through graph workflows, plan mode, and dynamic orchestration Agents → Loops → Graphs → Self-Improving Systems Better than most $300 graph engineering courses Bookmark and watch the talk Then read the article below

Anthropic Research Lead: "99% of our engineers run swarms of 300+ self-improving agents" "Now everyone is building agentic graphs" In a 20-minute session, an Anthropic team member breaks down how graph engineering turns isolated agents into systems that improve themselves The real setup is Claude running through graph workflows, plan mode, and dynamic orchestration Agents → Loops → Graphs → Self-Improving Systems Better than most $300 graph engineering courses Bookmark and watch the talk Then read the article below

74,884 views • 6 days ago

Anthropic Research Lead: "99% of our engineers run swarms of 300+ self-improving agents" "Close the loop, give the model a way to verify its own output" In a 20-minute session, an Anthropic Team member breaks down how to build agents that improve themselves The real setup is Claude running through loops, plan mode, and dynamic workflows Better than most $300 agent courses Bookmark and watch the talk Then read the article below

Anthropic Research Lead: "99% of our engineers run swarms of 300+ self-improving agents" "Close the loop, give the model a way to verify its own output" In a 20-minute session, an Anthropic Team member breaks down how to build agents that improve themselves The real setup is Claude running through loops, plan mode, and dynamic workflows Better than most $300 agent courses Bookmark and watch the talk Then read the article below

381,936 views • 2 months ago

Google CEO, Sundar Pichai: "If you don't learn how to orchestrate agents now, you'll spend 2027 catching up to people who started today" In 30 minutes, he explains why the best engineers are moving from writing code to running agents One agent researches One writes One tests One reviews One fixes The human becomes the operator, not the bottleneck Bookmark and watch the interview

Google CEO, Sundar Pichai: "If you don't learn how to orchestrate agents now, you'll spend 2027 catching up to people who started today" In 30 minutes, he explains why the best engineers are moving from writing code to running agents One agent researches One writes One tests One reviews One fixes The human becomes the operator, not the bottleneck Bookmark and watch the interview

346,706 views • 2 months ago

Ran into an Anthropic engineer at an airport lounge in Frankfurt last month. SFO delayed six hours. Nothing to do. I had my laptop open. Bot running. Three agents scoring markets in the background. Guy sits two seats down. Glances at my screen. Looks away. Looks back. "Is that Polymarket?" I said yeah. "You're running it with Claude Code?" I nodded. He pulled his chair closer. "I'm on the agent team. We stress-test this exact setup internally. You built it in your kitchen" I asked what stress-test meant. "Red team. We simulate what happens when someone gives Claude raw wallet data and tells it to find the winners. You're running the thing we were scared about" I showed him the scanner. One prompt. Find every wallet with 100 plus trades, 70 plus win rate. Rank by profit. Export top 50. Claude chewed through 14,000 wallets in under 4 minutes. Came back with 47. Top 20 made more than the bottom 13,000 combined. "That's not a distribution. That's a hit list" I said yeah. "And the scoring function?" Claude wrote it. I just wrapped it in an if-statement. A fill landed on screen mid-conversation. +$128 on an ETH dominance market. He stared at it. "How does it decide to enter" Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 of 3 agree, full size. 1 alone, half. Disagree, no trade. That consensus filter alone killed 40% of losing trades. "And the exit" The 47 whales never hold to settlement. 91% exit early. Capture 73% of max. I cut at 85% of the expected move. Or a 3x volume spike. Whichever comes first. "So you built a whale copy bot that exits before the whales" Yeah. He put his coffee down. "That's exactly the thing we gamed out in March. Management killed the internal version on policy. Nobody outside the team should have shipped this yet" I asked what he was going to do. "Fly home and pretend I didn't see it" $600 seed. 31 days. Net +$35,200. 479 trades. 75% win rate. Sharpe 2.63. I haven't touched the bot in three weeks. Copytrade for those who don't want to build - Before boarding he slid a card across the table. "When the next agent model drops, rerun your prompt. You'll see what I mean"

Ran into an Anthropic engineer at an airport lounge in Frankfurt last month. SFO delayed six hours. Nothing to do. I had my laptop open. Bot running. Three agents scoring markets in the background. Guy sits two seats down. Glances at my screen. Looks away. Looks back. "Is that Polymarket?" I said yeah. "You're running it with Claude Code?" I nodded. He pulled his chair closer. "I'm on the agent team. We stress-test this exact setup internally. You built it in your kitchen" I asked what stress-test meant. "Red team. We simulate what happens when someone gives Claude raw wallet data and tells it to find the winners. You're running the thing we were scared about" I showed him the scanner. One prompt. Find every wallet with 100 plus trades, 70 plus win rate. Rank by profit. Export top 50. Claude chewed through 14,000 wallets in under 4 minutes. Came back with 47. Top 20 made more than the bottom 13,000 combined. "That's not a distribution. That's a hit list" I said yeah. "And the scoring function?" Claude wrote it. I just wrapped it in an if-statement. A fill landed on screen mid-conversation. +$128 on an ETH dominance market. He stared at it. "How does it decide to enter" Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 of 3 agree, full size. 1 alone, half. Disagree, no trade. That consensus filter alone killed 40% of losing trades. "And the exit" The 47 whales never hold to settlement. 91% exit early. Capture 73% of max. I cut at 85% of the expected move. Or a 3x volume spike. Whichever comes first. "So you built a whale copy bot that exits before the whales" Yeah. He put his coffee down. "That's exactly the thing we gamed out in March. Management killed the internal version on policy. Nobody outside the team should have shipped this yet" I asked what he was going to do. "Fly home and pretend I didn't see it" $600 seed. 31 days. Net +$35,200. 479 trades. 75% win rate. Sharpe 2.63. I haven't touched the bot in three weeks. Copytrade for those who don't want to build - Before boarding he slid a card across the table. "When the next agent model drops, rerun your prompt. You'll see what I mean"

618,879 views • 4 months ago

Most people think prompting is just writing better sentences Anthropic shows why that's wrong This 32-minute workshop breaks down how prompts are built for production Not prompt hacks Not "act as" Not another $300 course Actual systems Evals Edge cases Model migration Agent loops Good prompt is not one message It's a workflow the model can follow, test and improve This matters because every new claude opus or sonnet will still reward the same rules Watch the prompting playbook Bookmark it before your next bad ai answer is just a bad setup

Most people think prompting is just writing better sentences Anthropic shows why that's wrong This 32-minute workshop breaks down how prompts are built for production Not prompt hacks Not "act as" Not another $300 course Actual systems Evals Edge cases Model migration Agent loops Good prompt is not one message It's a workflow the model can follow, test and improve This matters because every new claude opus or sonnet will still reward the same rules Watch the prompting playbook Bookmark it before your next bad ai answer is just a bad setup

390,911 views • 2 months ago

Do not spend 2 years learning AI agents the slow way Andrew Ng just shared a complete 2-hour roadmap On becoming an agentic AI engineer in 2026: 00:00 - Learn the foundations of AI agents 12:12 - Design agentic workflows 53:27 - Build agents that work in practice 1:20:30 - Create self-improving loops 1:30:19 - Orchestrate multi-agent systems Most people are still learning how to prompt one model Andrew Ng is already teaching the complete stack: Agents → Workflows → Loops → Multi-Agent Systems Prompting is the old workflow Building autonomous systems is the new one Anthropic pays top engineers up to $750K a year to understand this stack Bookmark this and give it two hours today Then read the full graph engineering guide below

Do not spend 2 years learning AI agents the slow way Andrew Ng just shared a complete 2-hour roadmap On becoming an agentic AI engineer in 2026: 00:00 - Learn the foundations of AI agents 12:12 - Design agentic workflows 53:27 - Build agents that work in practice 1:20:30 - Create self-improving loops 1:30:19 - Orchestrate multi-agent systems Most people are still learning how to prompt one model Andrew Ng is already teaching the complete stack: Agents → Workflows → Loops → Multi-Agent Systems Prompting is the old workflow Building autonomous systems is the new one Anthropic pays top engineers up to $750K a year to understand this stack Bookmark this and give it two hours today Then read the full graph engineering guide below

57,616 views • 16 days ago

Andrew Ng just dropped a free 2-hour course On turning one prompt into 100 self-improving agents: 09:14 - Build your first AI agent 33:11 - Run agents inside feedback loops 1:02:46 - Connect agent loops into graphs 1:30:15 - Build agents that rewrite themselves 1:49:05 - Run the entire graph without you Most people build one agent and call it finished Andrew Ng is already teaching everything that comes next: Prompt → Agents → Loops → Graphs → Self-Improving Systems Single agents are the old workflow Systems that improve and run without you are the new one This free 2-hour course is worth more than most $500 agent engineering programs Bookmark and watch it before everyone catches up Then read how to run 1,000 agents from one prompt below ↓

Andrew Ng just dropped a free 2-hour course On turning one prompt into 100 self-improving agents: 09:14 - Build your first AI agent 33:11 - Run agents inside feedback loops 1:02:46 - Connect agent loops into graphs 1:30:15 - Build agents that rewrite themselves 1:49:05 - Run the entire graph without you Most people build one agent and call it finished Andrew Ng is already teaching everything that comes next: Prompt → Agents → Loops → Graphs → Self-Improving Systems Single agents are the old workflow Systems that improve and run without you are the new one This free 2-hour course is worth more than most $500 agent engineering programs Bookmark and watch it before everyone catches up Then read how to run 1,000 agents from one prompt below ↓

44,517 views • 15 days ago

Anthropic dropped a free 59-minute Claude Code course From autocomplete to real agents: 00:00 - From autocomplete to agents 04:50 - How the agentic loop works 14:07 - CLAUDE.md as project memory 26:53 - Why Plan Mode comes first 33:31 - Live task from brief to commit 54:46 - Skills vs CLAUDE.md Most people still use Claude Code like a smarter autocomplete This shows how Anthropic uses it to plan, call tools, test, and ship real work Worth more than 99% of paid Claude Code tutorials Bookmark and watch it later

Anthropic dropped a free 59-minute Claude Code course From autocomplete to real agents: 00:00 - From autocomplete to agents 04:50 - How the agentic loop works 14:07 - CLAUDE.md as project memory 26:53 - Why Plan Mode comes first 33:31 - Live task from brief to commit 54:46 - Skills vs CLAUDE.md Most people still use Claude Code like a smarter autocomplete This shows how Anthropic uses it to plan, call tools, test, and ship real work Worth more than 99% of paid Claude Code tutorials Bookmark and watch it later

119,769 views • 1 month ago

NVIDIA CEO Jensen Huang: "Nobody is just writing prompts anymore, the new job is building and running loops" He says this is the shift that defines the rest of 2026 In 23 minutes, he explains why the best engineers are moving from prompting to looping Prompt Output Check Fix Run again That is the new workflow Bookmark and watch the interview Then save the full framework below

NVIDIA CEO Jensen Huang: "Nobody is just writing prompts anymore, the new job is building and running loops" He says this is the shift that defines the rest of 2026 In 23 minutes, he explains why the best engineers are moving from prompting to looping Prompt Output Check Fix Run again That is the new workflow Bookmark and watch the interview Then save the full framework below

169,874 views • 2 months ago

Andrej Karpathy recorded 70 minutes Breaking down how top AI users actually work with LLMs And most people are making it way too complicated Worth more than most $300 AI courses Bookmark and watch it later

Andrej Karpathy recorded 70 minutes Breaking down how top AI users actually work with LLMs And most people are making it way too complicated Worth more than most $300 AI courses Bookmark and watch it later

111,571 views • 1 month ago

Andrew Ng just released a 2-hour course On building agentic skills from scratch with Anthropic: 00:00 - How to build agent skills with Claude 22:32 - Claude pre-built skills for AI agents 41:07 - Agentic skills vs tools, MCP, and subagents 01:06:06 - Skills for long-running agents This 2-hour watch can replace 10 paid courses on building agents Taught with Anthropic themselves Bookmark and watch it tonight Then read the article below

Andrew Ng just released a 2-hour course On building agentic skills from scratch with Anthropic: 00:00 - How to build agent skills with Claude 22:32 - Claude pre-built skills for AI agents 41:07 - Agentic skills vs tools, MCP, and subagents 01:06:06 - Skills for long-running agents This 2-hour watch can replace 10 paid courses on building agents Taught with Anthropic themselves Bookmark and watch it tonight Then read the article below

104,084 views • 1 month ago

Google just released a free 2-hour course On going from one prompt to a complete multi-agent graph: 17:44 - Build your first AI agent 39:30 - Create self-improving agent loops 1:12:38 - Connect those loops into graphs 1:34:26 - Make agents regulate themselves 1:55:05 - Orchestrate the full multi-agent system Most people are still building one agent and stopping there Google is teaching the entire stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow Self-regulating agent graphs are the new one This free 2-hour course is worth more than most paid agent engineering programs Bookmark and watch it today Then read the full architecture below ↓

Google just released a free 2-hour course On going from one prompt to a complete multi-agent graph: 17:44 - Build your first AI agent 39:30 - Create self-improving agent loops 1:12:38 - Connect those loops into graphs 1:34:26 - Make agents regulate themselves 1:55:05 - Orchestrate the full multi-agent system Most people are still building one agent and stopping there Google is teaching the entire stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow Self-regulating agent graphs are the new one This free 2-hour course is worth more than most paid agent engineering programs Bookmark and watch it today Then read the full architecture below ↓

42,383 views • 18 days ago

I gave Claude one Polymarket equation and told it to find every mispriced contract It hasn't stopped running in 4 months $600 → $14,190 Every Polymarket contract is priced by one formula: C(q) = b × ln(Σ e^(qi / b)) The pricing function inside it is softmax - the same math Claude uses to pick its next token Claude doesn't just understand this equation, it thinks in it So I gave it a task: "Scan every open contract, compute fair value, flag anything the market has wrong 24/7" It finds the gap, sizes the position by Kelly, enters before the crowd corrects Market shows 0.38, math shows 0.57, bot buys Resolution hits, bot collects 120 days 61.2% win rate 2.31 sharpe -3.8% max drawdown 425 trades 87% of Polymarket wallets are underwater They trade feelings against a formula that doesn't bluff, doesn't tilt, doesn't chase losses The edge is having something that reads the math faster than any human - and never stops looking

I gave Claude one Polymarket equation and told it to find every mispriced contract It hasn't stopped running in 4 months $600 → $14,190 Every Polymarket contract is priced by one formula: C(q) = b × ln(Σ e^(qi / b)) The pricing function inside it is softmax - the same math Claude uses to pick its next token Claude doesn't just understand this equation, it thinks in it So I gave it a task: "Scan every open contract, compute fair value, flag anything the market has wrong 24/7" It finds the gap, sizes the position by Kelly, enters before the crowd corrects Market shows 0.38, math shows 0.57, bot buys Resolution hits, bot collects 120 days 61.2% win rate 2.31 sharpe -3.8% max drawdown 425 trades 87% of Polymarket wallets are underwater They trade feelings against a formula that doesn't bluff, doesn't tilt, doesn't chase losses The edge is having something that reads the math faster than any human - and never stops looking

311,933 views • 5 months ago

Got laid off on a Friday Spent the weekend reading Polymarket docs instead of updating my resume By Monday I had 3 agents running on a Mac Mini $500 → $3,140 Before my boss even posted my replacement job listing Weather data is public NOAA publishes forecasts every 6 hours The models are accurate But the market prices contracts off weather apps and vibes That's not a gambling problem That's a latency problem So I built 3 agents to exploit it Agent - 01: Reads raw NOAA forecast grids Not weather The actual meteorological data Agent - 02: Compares NOAA confidence intervals against live Polymarket prices Finds the gap before it closes Agent - 03: Enters the position EIP-712 signature, direct to CLOB on Polygon No middleman, no delay Not because the agents are smart Because the crowd updates slowly And the agents update constantly 71.2% win rate $26.40 average 3.9% max drawdown Built a live terminal to watch it all run in real time Balance, P&L, win rate, active markets - all updating live And the agents report back directly: Agent - 01: Batch filled 12 positions Avg +$26 Edge holding Agent - 02: Cold front repricing 8 markets Entering now Agent - 03: 3 losses in a row Drawdown at 6.8% Need wider capital base to hold variance It's not glamorous It's just a black screen with green text And numbers going up Copytrading open:

Got laid off on a Friday Spent the weekend reading Polymarket docs instead of updating my resume By Monday I had 3 agents running on a Mac Mini $500 → $3,140 Before my boss even posted my replacement job listing Weather data is public NOAA publishes forecasts every 6 hours The models are accurate But the market prices contracts off weather apps and vibes That's not a gambling problem That's a latency problem So I built 3 agents to exploit it Agent - 01: Reads raw NOAA forecast grids Not weather The actual meteorological data Agent - 02: Compares NOAA confidence intervals against live Polymarket prices Finds the gap before it closes Agent - 03: Enters the position EIP-712 signature, direct to CLOB on Polygon No middleman, no delay Not because the agents are smart Because the crowd updates slowly And the agents update constantly 71.2% win rate $26.40 average 3.9% max drawdown Built a live terminal to watch it all run in real time Balance, P&L, win rate, active markets - all updating live And the agents report back directly: Agent - 01: Batch filled 12 positions Avg +$26 Edge holding Agent - 02: Cold front repricing 8 markets Entering now Agent - 03: 3 losses in a row Drawdown at 6.8% Need wider capital base to hold variance It's not glamorous It's just a black screen with green text And numbers going up Copytrading open:

324,995 views • 5 months ago

4 Anthropic engineers just shared one hour of their best prompting lessons One of the most valuable prompting masterclasses on the internet and it's completely free 14:12 - Real prompts used inside Anthropic 32:33 - The simple fix that improves your prompts 59:44 - How to give Claude the context it actually needs 1:07:59 - The prompt that keeps working while you sleep Spend one hour learning from the people who write prompts at Anthropic Worth more than most paid vibe coding courses Bookmark and watch it tonight Then read the step-by-step guide below

4 Anthropic engineers just shared one hour of their best prompting lessons One of the most valuable prompting masterclasses on the internet and it's completely free 14:12 - Real prompts used inside Anthropic 32:33 - The simple fix that improves your prompts 59:44 - How to give Claude the context it actually needs 1:07:59 - The prompt that keeps working while you sleep Spend one hour learning from the people who write prompts at Anthropic Worth more than most paid vibe coding courses Bookmark and watch it tonight Then read the step-by-step guide below

76,885 views • 1 month ago

Claude Code creator Boris Cherny: "Verification is the single most important part of closed-loop development" "Companies underinvest in it, and that is the biggest mistake" In a 26-minute talk, Boris breaks down real AI coding loops with Spotify's Chief Engineer: 00:00 - Closed-loop development 08:33 - Why one-shot code generation fails 10:02 - Agentic verifier and PR success rate 12:00 - Verification loops without humans in the loop 14:00 - Tests, skills, CLAUDE.md, and MCP as the loop infrastructure 20:11 - Why consistent codebases make agents work better This one video is worth more than 100 Claude coding setup tutorials Bookmark and watch it today Then read the full guide on loop engineering below

Claude Code creator Boris Cherny: "Verification is the single most important part of closed-loop development" "Companies underinvest in it, and that is the biggest mistake" In a 26-minute talk, Boris breaks down real AI coding loops with Spotify's Chief Engineer: 00:00 - Closed-loop development 08:33 - Why one-shot code generation fails 10:02 - Agentic verifier and PR success rate 12:00 - Verification loops without humans in the loop 14:00 - Tests, skills, CLAUDE.md, and MCP as the loop infrastructure 20:11 - Why consistent codebases make agents work better This one video is worth more than 100 Claude coding setup tutorials Bookmark and watch it today Then read the full guide on loop engineering below

73,236 views • 1 month ago

Boris Cherny explains what developers should learn instead of just coding 82 minutes are free: 24:03 - Anthropic's real engineering rules 27:44 - Spending $100k every month on Claude 40:42 - What to learn instead of coding Writing code is the old job Building loops is the new one Worth more than most paid vibecoding courses Bookmark and watch it Then build your own loop with the guide below

Boris Cherny explains what developers should learn instead of just coding 82 minutes are free: 24:03 - Anthropic's real engineering rules 27:44 - Spending $100k every month on Claude 40:42 - What to learn instead of coding Writing code is the old job Building loops is the new one Worth more than most paid vibecoding courses Bookmark and watch it Then build your own loop with the guide below

54,739 views • 1 month ago

Andrew Ng and AMD CEO revealed the plan How anyone can become a $40k AI engineer from scratch: 00:00 - one engineer with AI can replace 5 employees 14:15 - one day with AI can replace 3 months of work 23:28 - how to build a profitable company for $20 This free 26-minute talk is worth more than a $90,000 Stanford AI degree Bookmark and watch it today Then read the article below

Andrew Ng and AMD CEO revealed the plan How anyone can become a $40k AI engineer from scratch: 00:00 - one engineer with AI can replace 5 employees 14:15 - one day with AI can replace 3 months of work 23:28 - how to build a profitable company for $20 This free 26-minute talk is worth more than a $90,000 Stanford AI degree Bookmark and watch it today Then read the article below

57,158 views • 1 month ago