Runesleo

Anyone who has used an AI Agent for content or data collection knows that scraping websites is the dirtiest and most exhausting task.
In my usual workflow, I rely on Chrome cookies to fetch data; when cookies expire, they become useless.
When encountering sites with strict Cloudflare or anti-scraping measures, I get a 403 error directly.
And for content on X, forget it—login sessions often expire, and once API quotas are used up, I have to switch to another solution.
For each link, I have to prepare three or four fallback layers, and often, even after reaching the last layer, I still c

Claude's yes man training is too good.

The strategy works, so I wanted to spin up multiple accounts to diversify risk, but got stuck for a whole day.
The problem wasn't the strategy—it was infrastructure.
Same codebase, Account A trades normally, Account B shows $0 balance no matter what. API auth is fine, address is correct, wallet clearly has $600.
Debugged address mapping, proxy architecture, regenerated API credentials—nothing worked.
Finally found it: Polymarket's Google login and wallet login use different signature protocols under the hood. The code had a hardcoded number 2 when it should be 1. A single constant difference t

After using AI, my daily work hours have gotten longer.
Before Claude Code came along, whenever I had an idea, I'd assess it and think it was too much hassle, so I'd drop it. Now the problem is: nothing feels difficult anymore. Want to collect data? Just do it. Want to test a strategy? Just do it. Want to write content? Just do it. There are so many possibilities that I'm actually spending all day prioritizing.
AI definitely saves you time, but every single minute saved gets filled with new possibilities.

No matter how high the win rate or how optimistic the backtesting results for prediction market strategy are, once you go live with real money, all the problems emerge😂

That's hilarious! I previously recorded a voice sample for voice cloning and let AI help me run the video production pipeline. I was working in CC when suddenly my computer started speaking in my own voice, which totally startled me 😂

Crazy, three Claude Code terminal windows just hit 529 overloaded at the same time, thought I got banned again, scared the shit out of me 😅

Simon Willison (Django co-founder, now focused on AI engineering practices) published a subagent engineering patterns guide that breaks down LLM sub-agents into three modes: Serial (sequential exploration), Parallel (concurrent execution), and Specialist (expert roles). The core issue is that context windows are limited, so subagents use independent windows to distribute the load.
In practical application, Parallel is severely underestimated. Dispatching a batch of lightweight models to run exploration concurrently, with the main window waiting for results to return—the experience and efficien

$370 is enough to manipulate the price of a prediction market.
An article on LessWrong broke down several cases: Scott Alexander cited Anthropic's valuation market on Polymarket, saying "the market believes there's a 90% probability it will reach $500B". The author checked the orderbook, and the YES side had only $370 in total depth. Spending that amount could crash the price from 90% down to 76%.
Even more absurd is that for the same event, Kalshi showed 37% while Polymarket showed 22%. A 15 percentage point difference, because liquidity on both sides is so poor that the prices have no refer