The full gallery
Tech stack
23 projects
Connect AI tools to your business apps for automated workflows and shared memory.
clapptastic · HN
GreatArrow.ai – Shared memory for Claude, ChatGPT, Gemini and Cursor
Pin comments on AI-generated documents for the AI to read and revise.
ashaney · HN
Curio, a place for HTML files
Access multiple AI language models through a unified API interface.
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil
Manage your AI-built projects inside Cursor, Claude Code, Bolt, and other AI development tools.
@getpapi_ai · X
placed 3rd in the r/vibecoding vibejam 2026. It made me go viral in r/ohio It was my first ever jam entry, I'm also not a developer...or from Ohio. was planned, reviewed, shipped and currently managed by
Coordinate specialized AI workers to execute tasks from your ideas with human review at each step.
@VisionAIWS · X
Directory of tested AI prompts for building app components like auth, payments, and analytics.
@mannam_11 · X
AI toolkit for generating debate replies and analyzing arguments with seven specialized modes.
@recurno · X
Just shipped Riposte. Paste a Reddit dunk aimed at you → get 4 reply angles that take your side. Sharp. Logical. Aggressive. Socratic. Or spar the AI in Arena first. #debate #buildinpublic
AI-powered code review tool that executes code in microVMs to detect more bugs.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db
Publish tasks to evaluate and benchmark different AI agents and tools on a leaderboard.
u/Ruqii-ruqii · Reddit
I built an open Eval to compare different AI agents/tools/pipelines and find which solution works the best (not very pretty╥﹏╥, but practical) The original reason I built it was because I wanted to find a good PDF parser. Every PDF parser claims to be the best, but none of them can get my PDF 100% correct. They would either miss numbers or hallucinate some. Or they get PDF A and B correct but failed at C. Or get C correct but failed at A and B. Very frustrating. So I create
AI agent that reviews code commits, identifies issues, and generates pull requests.
@hyraxai · X
Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests
