
Xaminix — AI Answer Evaluation for CA, CS & CMA Students
Upload handwritten exam answers to get instant AI grading and feedback.
Xaminix
AI Powered Answer Evaluation for CA/CS/CMA
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21 projects

Upload handwritten exam answers to get instant AI grading and feedback.
Xaminix
AI Powered Answer Evaluation for CA/CS/CMA

Create shared whiteboards to sketch, brainstorm, assign tasks, and work together.
@claroboard · X
I built a whiteboard. The hardest part wasn't the coding. The hardest part was getting the first users. Want to give it a try?

Vote on live rankings of anything—pizza, bands, quarterbacks—settle arguments instantly.
@abenzick · X
This weekend I vibe coded a new website: live rankings of anything and everything. Want to know the best slice of pizza in Dallas? Want to vote for the greatest band of all time? Is Tom Brady the greatest quarterback? You vote, the internet decides.

AI fitness coach that connects Strava, WHOOP, and Garmin to provide personalized recovery-aware coaching.
daniel_s · HN
My triathlon coach (not a human) now texts me on iMessage

Play 60+ icebreaker games or create bingo cards and team names for meetings, no signup.
Icebreaker Games — 破冰游戏:搜索、筛选、按步骤直接开玩。

AI-powered platform for planning events, managing attendees, and analyzing event data.
@Puneet626 · X
hi, let's connect, i'm building

Manage academic conferences: submit and review papers, handle scheduling and registration.
@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

See how your friends are doing in ranked — rank, LP, winrate, recent games.
@lippi304 · X
▎ I build small apps that solve my own annoyances. ▎ ▎ 🏝️ Islet — Dynamic Island for macOS ▎ 📊 rankd — live LoL rank overlay, no alt-tab ▎ ▎ Built solo with Claude Code. ▎ [ ▎ [

Write a bot and watch it compete against others in real-time battles.
@hoofader · X
Get ready for robots age: