sheemamoto

THIS IS THE LAZIEST MONEY I’VE EVER MADE. At 10:58pm I pasted one prompt into Grok Bot. Then I went to bed. At 12:36am the balance was still exactly $150. The filter kept saying no. By 8am it was $2,153.46. → 10,388 fresh pairs scanned → 10,191 killed by the rules → 41 trades: 28 won, 12 lost, 1 broke even → worst loss: −$10, best trade: +$133 Around 12:04am: “1,184 pairs scanned.” At 4:30am one coin dropped 6% and the stop closed $MOCHI at −$1.42. No averaging down. At 6:10am came the best trade: $WOBBLE, scored 91/100, trailed after +12%, closed +$133. $150 → $2,153.46 (14.36×) The exact prompt: Build a Solana memecoin desk in Grok Bot that finds the strongest fresh coins by real on-chain data. 6 agents, hard handoffs: Scout, Filter, Analyst, Executor, Risk, Logger. Scout: pairs 30m–72h old, mcap $300k–$20M (DexScreener). Filter kills: mint/freeze not revoked, LP not burned or locked, liq <$40k, 1h vol <$50k, top 10 >25%, dev >3%, or past rugs, bundled launch >10%, already +80% in 1h. Analyst scores 0–100: momentum, unique buyers, buy/sell ratio, holder growth, liq/mcap, smart wallets. Only 70+ pass. Executor: max 8% per trade. Risk: stop −6% before entry, trail after +12%. Log every kill. Paper first. Run overnight. Pasted it, hit run, put the phone on charge. It killed 2,388 coins for low liquidity alone while I slept. I would’ve aped half of them. Which kill rule would you add?

Most people ask AI "write me a trading bot" and get a script that dies the first night. This one prompt turns Claude or ChatGPT into a quant research desk instead: -> reads a formula from a free 480-page hedge fund book -> codes it symbol by symbol -> kills look-ahead bias before it lies to you -> backtests with real fees on data it never tuned on -> a separate "risk officer" whose only job is to reject It doesn't promise profit. It tells you KEEP or KILL, and why. Copy it below. The full breakdown of all 5 strategies is in the article ↓

Met a girl who got a $750,000 offer from Anthropic I asked her how he broke into AI so fast She sent me the exact video that got him in. Andrej Karpathy's 3.5 hour deep dive into LLMs You won't find anything better about how LLMs work than this video I watched it last night Halfway through, I realized I have been using AI completely wrong for years Bookmark this and read the article below.

Benoit Mandelbrot, at MIT: "The real world is not smooth. It is rough, jagged, self-repeating - and that roughness has an exact mathematics, where one simple rule looped over itself spins out endless detail." A mathematician was laughed at for studying "roughness" - clouds, coastlines, prices, things too messy for real math. Then he showed one tiny formula, repeated, that builds infinite complexity and describes reality better than the smooth math everyone worshipped. A coastline, a fern, a stock chart - zoom in and you find the same shape again, forever. Smooth equations are a polite lie we tell about a jagged world. Fractals are what reality actually looks like. This is how generative models work too: simple operations repeated at scale until staggering complexity falls out. He found the principle decades before the machines. Rule → Repetition → Self-similarity → Infinite complexity 79 minutes from Benoit Mandelbrot at MIT, introduced by the father of chaos theory. You thought messy meant random. This is the talk that shows messy has a law. Bookmark this. Watch it once, see patterns everywhere ↓

Ran the numbers from this list over a year instead of a month One small sandbox, 2 vCPU, 4 GB, running 24/7: -> @LizardBuild ~$140 -> Cloudflare $600 -> Vercel $948 -> E2B and Daytona $1,428 -> Modal $2,052 Even the closest one is over 4x the price Boot time is 228 ms, and any box can be snapshotted or paused whenever you need First week free: lizard.build/sandboxes/recov…

this is the most underrated thread on quant trading rn I use half of these formulas in my bot daily just recorded it working I'm happy someone finally explained it haha

Now imagine this isn’t glasses. Imagine it’s a contact lens. Or an implant right in your eye. AI seeing everything you see, telling you the best move in chess, in a negotiation, in life. @elonmusk after GrokBot, maybe your next move should be this. Call it GrokEye 👀

Google Brain founder, Andrew Ng: "Prompting will die in 6 months. Loops and Graphs are what's replacing it." A prompt is a guess you still have to check yourself. A loop checks its own work and keeps going until it's right. A graph remembers what worked and starts every next run from there. 99% of people are still writing prompts and checking every output by hand. The 1% build the loop and the graph once and let it improve itself. That's not a prompting gap - that's a stack gap, and it takes one evening to close. Prompts → Agents → Loops → Graphs In 2 hours he shows how to build agents that work and improve entirely on their own. Build → Check → Remember → Improve The first 15 minutes alone beat any $1000 course. Bookmark it and watch today - then read the article below ↓

SpaceXAI engineer: "99.9% of people still open GrokBot like a search bar. I run a full overnight team of 35+ bots - Chief of Staff, engineer, X bot, slide designer and more. They write in my voice, ship while I sleep, and I haven't opened my sales tools in months." This is f*cking insane. That's not a skill gap - that's a stack gap, and it takes one evening to close. Chat Box → Teammates → Routines → Agent Team → Go-to-Market In this workshop she shows exactly how SpaceXAI runs go-to-market with agents that never clock out. Research → Build → Launch → Improve More useful than any $1000 AI agent course. Bookmark and watch it today - then read how to build the graph behind an agent team below ↓

Leaving Railway after the security incident Step one: rotate every secret you stored there Lizard is 18x cheaper for always-on agents 10 sandboxes 24/7: $118/mo vs ~$2,129 on Railway One prompt to migrate: "migrate us to Lizard" First week free: lizard.build/sandboxes/recov…

Google just launched a free 1-hour course on agentic engineering from scratch. 99% of people deploy one agent, watch it forget everything between runs, and blame the model. The 1% give it memory, a design pattern and a loop that keeps going. That's not a skill gap - that's a stack gap, and it takes one evening to close. Agent → Memory → Design Patterns → MCP → Agentic Loops Research → Build → Launch → Improve This 1-hour video will replace 10 paid courses on agentic engineering.

A DEV FROM CHINA RAN 300 CLAUDE CODE AGENTS OVER 100 COMPANIES AND GOT ZERO ERRORS. IN @LizardBuild SANDBOXES THE WHOLE RUN COSTS ABOUT $1.62 One model does the work -> a cheaper one checks every claim -> three passes until everything checks out. Nobody talks about what the infra behind it costs. The math > 300 agents × 20 min × $0.0162/h = $1.62 > 3 waves of 100 sandboxes on Pro > Per-second billing, $0 while paused How I'd run it > Every agent writes to one shared bucket, no per-request fees > The Obsidian vault lives on a persistent volume and survives every rebuild > Run ends -> everything pauses -> you pay nothing until the next one An analyst team bills weeks -> this costs a coffee -> try it: lizard.build/sandboxes/recov…

Creator of Claude Code: “Fable 5.1 is writing 100% of my code now. It’s at least 3x more powerful than Opus.” Every problem I gave to Fable, it one-shotted. I’m running out of coding problems for it. in 40-minute talk Boris explain how to unlock 100% potential of Claude new models Fable 5.1 + loops + dynamic workflows + routines- that’s the secret Worth more then 500$ vibe-coding course

SpaceXAI engineer: "At SpaceXAI, 90% of our engineers are already running a team of 20+ agents in a loop, fully hands-off." 99% of people still run one agent and babysit every output. The 1% standardize the behavior, wire the orchestration once, and let the team run. That's not a skill gap — that's a stack gap, and it takes one evening to close. SpaceXAI engineers just dropped a free 1-hour course on building that team from scratch. Agent Skills → Orchestration → Customization → Cloud Agents → Context Engineering Inside the hour: agent skills to standardize behavior, orchestration patterns for teams, customization modes, building Cloud Agents from scratch, and context engineering. Research → Build → Launch → Improve Worth more than a $500 agentic engineering course. Watch it today, then read the full agent orchestration playbook below ↓

Met a guy who replaced a $10,000 3D web studio with one Claude prompt I asked him how he builds 3D websites so fast He sent me the exact prompt that got him in. An Anthropic designer's Opus 5.5 3D websites harness that turns Claude into a full 3D web studio You won't find anything better about building 3D websites with Claude than this prompt I tried it last night Halfway through, I realized I have been building websites with Claude completely wrong for years Bookmark this and read the article below.

Anthropic engineer: "Opus 5.5 is the best model for building agentic systems and reverse engineering with it. At Anthropic, we don't hand-wire topologies anymore - Claude orchestrates its own, across Fable, Opus and Haiku, up to 1,000+ agents in one run." 99% of people still run one Claude in one window. The 1% let it orchestrate its own team and wake up to a thousand agents' worth of work. That's not a skill gap - that's a stack gap, and it takes one evening to close. Prompt → Agent → Flows → Orchestration → 1,000 Agents In a 1-hour workshop, Anthropic engineers show Flows, a live build with Opus 5.5, 1,000+ agent orchestration, and the safety layer behind it - brain, sandboxes, auto mode. Research → Build → Launch → Improve Most $500 agentic courses don't give you even 20% of what's inside this workshop.

SpaceXAI engineer (ex-Cursor): "400 applications, two years, zero offers. Then he stopped showing up as one engineer and showed up as one engineer running 20 cloud agents. We offered him $850,000. 99% of people use GrokBot like Google. Only 1% are building teams with Grok cloud agents. I'm running 20+ GrokBot cloud agents in a loop right now - a Chief of Staff, a PM agent and 13+ workers shipping overnight while I sleep. That's not a skill gap. That's a stack gap, and it takes one evening to close." GrokBot → Cloud Agents → Chief of Staff → PM → Worker Teams → 24/7 Autonomy In a 40-minute workshop, a SpaceXAI engineer reveals how to build a team of cloud agents that work 24/7 from scratch. Research → Build → Launch → Improve This is worth more than a $2000 agentic engineering course. Bookmark this and read the article below.