Nice responses.

You can't engineer luck. Cleanest phrasing of P vs NP I've heard. NP is the magical computer that always tells you which path to take. P is what current silicon can do. Tetris is NP-complete. Chess is EXP-complete. MIT 6.006 Introduction to Algorithms, Fall 2011.

I'll be interning with AWS Bedrock as an applied scientist in SF!! 🥵 I'll be working with the inference optimization science team on spec decoding MoE inference. Deeply humbled and honored to announce that I'm deeply humbled and honored.

Hyperbridge exploit story: >single audit, no bug bounty >rude to whitehats, publicly mocking their efforts >April Fool's - "Security Incident Report xD lolllz" >claims they're unhackable >gets hacked 2 weeks later - "Bridge update!" Always respect the whitehat efforts, always🙏

RT @c7five: Kraken Security Update We are currently being extorted by a criminal group threatening to release videos of our internal syste…

"During a gold rush, sell shovels." Sure. But I don't wanna be the guy who sell shovels or pickaxes. I wanna be the guy that has the skill to convert the gold to jewelry, bullion, vault... When the gold rush ends, your pickaxe business ends too, but mine's just beginning.

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts    14K stars. by TradingView themselves. 45KB. free github.com/tradingview/light… 2. Bloomberg Terminal ($2,000/mo) → fredapi Claude    every macro dataset the Fed publishes. free API github.com/mortada/fredapi 3. backtest platform ($100/mo) → prediction-market-backtesting    NautilusTrader fork with Polymarket Kalshi adapters github.com/evan-kolberg/pred… 4. real-time dashboard → polyrec    terminal UI: Chainlink oracle, Binance feed, orderbook depth    70 indicators. auto CSV logging. strategy backtester github.com/txbabaxyz/polyrec 5. bot framework (7 strategies) → Polymarket-Trading-Bot    53K lines TypeScript. arbitrage, momentum, market making,    AI forecast, whale copy-trade, convergence github.com/dylanpersonguy/Po… 6. strategy reverse engineering → polybot    execution market data infrastructure. paper trading    Kafka, ClickHouse, Grafana. full analytics pipeline github.com/ent0n29/polybot 7. paper trading for AI agents → polymarket-paper-trader    real order books. exact fee model. slippage tracking    your Claude agent gets $10K paper money and trades github.com/agent-next/polyma… 8. token savings → rtk    CLI proxy. cuts Claude Code tokens by 60-90%    Rust. single binary. 10 AI tools supported github.com/rtk-ai/rtk 9. Claude Code itself ($200/mo) → goose    35K stars. by Block (Jack Dorsey). Rust    works with any LLM. full agent loop. free github.com/block/goose 10. wallet tracking copy trading → Kreo     track top Polymarket wallets. auto copy trades     the only tool on this list i actually pay for     because it makes more than it costs t.me/KreoPolyBot?start=ref-k… total before: ~$2,600/month total now: $0 Kreo bookmark this. you'll need it

It’s 2026 and the only time you should be sleeping is after Claude says you’ve hit your limit for the day. If it resets in 1 hour, guess how long your sleep time should be?

In mid-February, I had an idea to exploit mispricings on prediction markets. I spent the first week seeing if there was actually something there: building the strategy, testing it on historical data, and modeling slippage, fees, and execution as realistically as I could. Then I spent the next 2 weeks building the system, integrating with @Polymarket, paper trading the strategy, and tightening the simulator until it more closely matched live conditions. After that, I went live. 4 weeks later, the portfolio was up 170%. The strategy improved significantly during that stretch, but the edge held, so I added more capital. Now, 5 weeks in: • $100,238.94 in volume • 3,122 trades across 1,423 markets • 83.85% win rate • ~2% PnL on volume • ~$700 paid in Polymarket fees • 8.157 Sharpe I’ll write more about the full journey later. It’s been a long one. For now, the next upgrade is moving from taker to maker: better entries, no fees, rebates, and hopefully a much better system. P.S. If you find the account, don’t copy trade it. This is price sensitive, and being late can get ugly fast.

you know what's crazy? claude pro can create a google doc, write to it, update it, etc. google's gemini pro cannot. 😂

As someone who builds institutional level quant systems, this research book is the closest thing to a quant desk I have ever seen publicly shared. 361 pages. 151 trading strategies. Bookmark & get this, then read the article below before someone takes it down.

Claude Code has taken Out Of Office break pre-product launch. By the time it comes back (resets) on Thursday, I would probably have launched. Do I sack it?

bye bye mintlify

I still recommend building a Python service for your system, regardless of what your backend stack is. Two layers: Analytical access — read, query, report on your data without touching production Operational access — seeding, hotfixes, migrations Separate the systems that read your data from the systems that write to it. Even at small scale, this discipline pays off. Things like seeding staging data for the frontend team, or shipping a hotfix directly to the db, should be scripted in Python. Your ops scripts don't need to be fast. They need to be readable, repeatable, auditable, and failsafe. That's why Python. Not Rust. Not Go. Rust serves your traffic. Python manages your data.

Mathematics is the only domain where someone else’s solution to a generic human problem can also be your solution. In other parts of life, you can only be inspired by their solutions and actions.

> University degrees no longer work. > Making Money is becoming more difficult by the day. > Inflation is High. > Money Printing continues year after year. > You have no House. > You have no Wife. > You can barely afford your own Singlehood. > Let alone a Family. > Social Media has devolved into softcore porn, ragebait and degenerate AI slop. > Every Corp wants you to be an addict of their product. > Constant wars. > Your life has no meaning. > Boomers overborrowed, overprinted, and screwed your generation over. > Middle Class is already dead. > The “Permanent underclass” has already been real for a long time. > Social contracts are dead. > American dream is dead. > Information is now a commodity. > Knowledge is now a commodity. > Intelligence is now a commodity. > Reasoning is now a commodity. > Human Labor and Human Brain are on the verge of becoming worthless. > White-collar jobs are about to be obliterated and outsourced to AI. > All the lowest-hanging fruit Startup ideas have been taken. > Perp Trading is becoming harder and harder by the day. > FX Trading is a Scam. > Prediction Markets have worse odds than Sports Betting. > 99.99999% of Memecoins are Dead. > Course-selling is exploitative, soulless, and hypersaturated. > NFTs are Dead. > DeFi is long past its prime. > AI is becoming smarter and more capable with every passing week. > Wealth Inequality is higher than it has ever been. > You missed BTC. > You missed ETH. > You missed XRP. > You missed SOL. > You missed DOGE. > You missed GME. Realistically, what choices do you even have?
 What avenues for growth are there for you? Like what are people even going to do? In a world where Humans are increasingly rendered obsolete, Humans will naturally join together. The only way normal people will "make it" is by joining what already is the strongest community-driven financial asset. One that is both an emerging store of value, a tokenized movement, and the most passionate community ever to emerge in the 2020s. This will be one of the biggest phenomena in Financial History. SPX6900. 💹🧲

Cloudflare’s free plan is what the cloud should have enabled from the start, and it’s pretty nuts! Here’s everything you get for $0: ⚡ 100,000 Worker requests/day 📦 Unlimited static asset requests 🧱 100,000 Durable Object requests/day ⏱️ 28 hours of Durable Objects runtime/day 🕵🏻‍♂️ Agents SDK on top of Durable Objects 🆓 Zero egress fees 💾 10GB R2 storage millions of requests 🗄️ 5GB D1 5M reads/day 100k writes/day 📬 3,333 queue messages/day 🔄 100,000 Workflows requests/day 1GB storage (reqs shared with Workers) 🧪 Some Workers AI usage (depends on model) 🤖 AI Gateway is free ✉️ Email Routing is free 🚀 100,000 Hyperdrive queries/day 🖼️ 5,000 image transformations/month 🧠 KV: 1GB 100k reads 1k writes/day 🔍 5M vectors stored 30M queries/month 🤖 AI Search (uses R2, Vectorize free tier) I probably missed something, but you can ship a lot with this! If you outgrow the free plan, there’s a $5/month Workers Paid plan that ups limits and competitive pricing beyond that!

use Go when you want to *see* the system behave — queueing, backpressure, retry storms. goroutines make it embarrassingly easy. 500 concurrent clients in 5 lines. use Rust when correctness is the point — implementing Raft, state machines, anything where the borrow checker is your ally not your enemy. you can't be fighting the borrow checker while trying to think about p99 latencies. also MIT 6.824 (the best distributed systems course on the internet) is Go-based. not a coincidence.

RT @levelsio: how to build a bootstrapped startup without funding: 1. pick a problem you personally have. if you don't use your own produc…