@supamaiku · X

Finally an OSS version of outrank/distribb/rankpill/babylovegrowth

u/Comprehensive-Bad-43 · Reddit

I got tired of documentation that lies, so I made docs that have to prove every sentence Founder here! Every codebase I have ever joined had the same problem: the docs describe the code as it was six months ago. Nobody updates them, because updating docs is the least rewarding job in software. So I built RepoFold . You connect a GitHub repo and it generates a full wiki, but with one hard rule: every technical claim has to cite the exact file and line numbers it came from. If the AI can'

u/Lower_Junket_222 · Reddit

An open-source fully local tool for organizing and measuring your cognition with nootropic logging and a genetics module Axon lets you: Create a personal cognitive and psychometric baseline Log sessions alongside sleep, stress, time of day and subjective effects Track attentional, cognitive and behavioral agency Look at changes across networks like the DMN, frontoparietal, salience and attention networks View deterministic n-of-1 summaries with uncertainty shown instead of receivi

aamir_zahran · Product Hunt

Ai Can Run Check which AI models your PC can actually run — no installs

learn_os · HN

LearnOS – Open-source, AI-native Coursera you run locally

@kngkng182542 · X

If you're paying for Canny, give FeedLog a look. Same workflow for collecting feedback and managing feature requests, but free during launch.

BeeCount 蜜蜂记账 — 开源跨平台记账 App（Android/iOS/Web），主打数据自主与隐私优先 —— 支持自建 BeeCount Cloud / iCloud / Supabase / WebDAV / S3 多端同步，离线可用，可选 AI 识别账单图片自动记账，无广告无订阅 - [Github](https://github.com/TNT-Likely/BeeCount)

slidefirm · GitHub

NESA-SLIDE Give this GitHub link to Codex or Claude Code to create presentations

@Karadokuy · X

Shoutout to an open-source project: Multica. Lately, I’ve been deep-diving into multi-human, multi-agent collaboration workflows. It offers the lowest cognitive friction and the highest efficiency. Today’s frontier models are advanced enough that you no longer need to babysit every single CLI command. Instead, you can let a high-capability model break down and align tasks, then delegate execution to specialized sub-agents. Here’s what sparked this shift: As an AI agent engineer, my instinct has always leaned toward heavy engineering architectures. But a friend of mine in operations recently jumped into the "vibe coding" wave, subscribing to tools like Claude Code, Codex, and others. While he could get things built, he realized these tools didn't collaborate well enough to keep costs down or productivity high. Coming from a management background, he was used to delegating tasks to people, letting them coordinate, and driving things forward. So, he started tinkeri

@Shourya60756648 · X

Let's connect, checkout

@TBG_JUST_G · X

Hey @ElonMusk, I know you're super bummed out about not being a trillionaire anymore... so I made this screen record of @ClaudeWar1's browser app displaying a @Starlink satellite off the west coast of the USA, then street level zoomed into Hawthorne, California to see the price of @SpaceX $SPCX with a chart overview and AI analysis to cheer you up. Rocket Rd. and Falcon 9 Rocket Booster B1019 in view. Imagine Frank Sinatra singing 'Fly Me To The Moon' in the background. Most of this was vibe coded with @Cursor, too. Which should really make you happy (good buy!) CHEERS! Keep building. See you on Mars soon, probably. - Josh

@manixh · X