@accordingtoca · X

This was inevitable, so I designed a format that would actually work and I vibe coded a simulator to demonstrate it. Check it out:

@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

ilia_foo · HN

Read the Room – a social LLM puzzle

@NFTMansa · X

Love seeing the builder community thrive! For anyone tackling group projects with AI, we built GroupGPT. It lets teams collab on AI prompts and custom agents in real time. Check it out:

@ShashankBhutiy4 · X

Duolingo for Soft Skills and career growth

u/cryptoinmymind · Reddit

I built a free Pokémon Team Builder with damage calcs, threat analysis, and a built-in smart coach, supports all 1,285 forms across 9 languages Hi, wanted to share something I've been working on for a while now. pokemonteambuild.com It's a team builder that actually analyzes your team as you build it; not just type coverage, but real damage calculations, threat analysis against the current meta, speed tier comparisons, and an AI coach that tells you what's wrong and how to fix it. Y

@TimEngng · X

Stop losing the "why" behind product decisions -

@KSertttttttt · 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