Runesleo

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Age 8.2 Year
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I've always wanted to build an AI health management system for myself and my family, gradually filling it in with each checkup, doctor visit, and medication. These past few days while visiting my parents, I set up theirs too.
Inspired by @coolish's previous health management approach, I built this in a day using Claude Code + Obsidian:
📸 Photograph medicine boxes → AI automatically identifies drug names, dosages, frequency
📋 Photograph health reports (30+ pages) → AI reads each page, extracts abnormal markers, establishes trend comparisons
🗂 Organize by family member → Medical history, medi
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166 Discord servers, cleaned down to 16.
A legacy of the airdrop era—ZK, Arb, OP, Starknet, NFT, nodes, GameFi, totaling 30,000 unread mentions. Opening Discord felt like walking into an abandoned mall every time.
Today I automated the entire cleanup in 2 minutes using Claude Code:
• Built a Discord Bot to gain server admin permissions
• Extracted the complete server list from the browser via Chrome CDP
• One Python script batch calling APIs—ran 120 servers at once, 0 failures
Also added a Telegram group-leaving script on the side: 54 groups + 89 channels can be cleared anytime.
I used to thin
ZK0.77%
ARB1.6%
OP-2.89%
STRK0.99%
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As your Claude understands you more and more
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Claude Opus 4.6 comes with 1M context, but you can't see by default how much you've used or how much is left. My previous clumsy workaround was to check the 😂 backend dashboard on the web.
Now I found that adding one line `statusLine` in settings.json displays real-time at the bottom: model version, context usage, git branch, session duration, and 7-day quota percentage.
Super useful when running multiple windows in parallel—one glance shows all statuses. Couldn't be more convenient!
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You're an AI with an even worse temper than I do.
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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
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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.
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Claude Code's iteration speed is terrifying: every time you exit the terminal and come back, the version number goes up by 1.
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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😂
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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 😂
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You see a GitHub repository recommended by someone on X, click into it, think it's good, save it, and then most likely never open it again. Information originating from GitHub gets processed by KOLs, and by the time it reaches you, it's already secondhand.
Why not just get firsthand information yourself? Use GitHub Trending as an information source and integrate it into your daily digest workflow: cron scheduled scraping → AI filtering and evaluation based on your business direction → install and use what's worth trying → share what's worth sharing.
Every morning when you open your daily diges
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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 😅
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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
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$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
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I did something "useless but satisfying" with Claude Code——organizing my Chrome bookmarks.
262 bookmarks, 5 years of accumulation. Inside were defunct FTX, various old DeFi interaction projects, and airdrop tutorials. Claude directly read the local Bookmarks JSON, Python script recategorized and reorganized, created 10 folders, deleted 10 broken links.
Without writing code, let AI manage your local file system. Who says coding agents can only write code? 😁
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Detected prompt injection attack from another species
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Out of the first doubled Polymarket account.
Initial ~$190, cumulative PnL +$248, ROI 130%.
No overnight riches, just small dispersed positions, systematic execution, and gradual probability realization.
It proves that systematic execution of strategies validated by data can have positive EV.
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X creator earnings just showed the first payout amount, $1,508.71, marking this milestone.
Started posting content in February 2023, and this is accumulated over three years. The first two years had basically no impressions, the past year was 16.7 M, with real growth in the most recent two to three months—the most recent pay period had around 3 million impressions, with estimated single-period earnings of $200-300.
Found something interesting after checking the backend: Article format has higher weight in the payout calculation. And looking at several creators, even very short content is being
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YC CEO Garry Tan open-sourced his Claude Code workflow, hitting 4K+ stars on GitHub in 24 hours.
8 slash commands, each corresponding to a specific role: CEO reviews product direction, Engineering Manager reviews architecture, Staff Engineer identifies production incidents, Release Manager handles one-click deployment, QA auto-captures screenshots to test bugs.
The core idea in one sentence: don't treat AI as an all-purpose assistant—assign it specific roles.
What hits hardest is /plan-ceo-review. You say "add image upload," and it doesn't rush to write code. Instead, it asks back: is this rea
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