@pgardunoc · X

I vibe coded this for the World Cup, and other projects

@DavidDAfrica · X

this has probably kind of happened, if you count fun little mini sites... my guess is that this site is pretty much entirely vibe coded and has definitely had thousands of people play

@jiimaho · X

Made a few changes to so now people can add more dates, delete a day and delete a person! Built with #claude

@Attalos__Life · X

Find a meeting time without the back-and-forth. FindOurTime auto-detects time zones, checks calendar conflicts from an .ics upload, and lets you schedule 15, 30, or 60-minute slots. No account needed.

@KSertttttttt · X

@LudiqoApp · X

Focus Game — 专注力训练小游戏集合，包含 Schulte Table、Stroop Test、Reaction Time Test 等浏览器训练工具

@harryjwang · X

I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

IceBreakerGames — 破冰游戏转盘，帮你快速决定聚会选什么破冰游戏，并帮你快速了解和准备对应破冰游戏

@FiveLetterTribe · X

masterchef2209 · HN

I created a platform to check which AI models is the best gamer

u/Rcoo232 · Reddit

I built a council of 5 historical figures that debates your hardest life decision (based on Karpathy's LLM Council) A few weeks ago, I came across Karpathy's "LLM Council" concept. You ask multiple Agents the same question independently, have them anonymously peer-review each other, then synthesise a final answer. The peer-review round is the genius part; models get surprisingly honest when critiquing anonymised responses. I turned it into a consumer product where the council members are hi