The full gallery
Tech stack
15 projects
API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention
Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents
Real phone numbers for AI agents with voice calling and SMS messaging.
@AgentLineHQ · X
Every AI agent is going to need a phone number eventually. We built the infrastructure for that. Real numbers. Voice + SMS. Built for OpenClaw, Hermes, Claude Code, Codex, LangGraph or any agent.
Platform for security teams to create and deliver penetration test reports faster with reusable findings and client portals.
@TurvSec · X
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
Scan your GitHub repo for production-readiness across security and scalability.
@nathanghart · X
Submitting for approval. I built a free tool for anyone about to ship a vibecoded app. It scans your repo for what bites you in prod (leaked keys, no auth, no error handling). I ran it on 1,868 AI-built apps and even caught my own scanner being ~42% wrong.
AI audit tool that analyzes your SaaS product for launch readiness and generates a prioritized report.
@manoharkale1110 · X
Audit your website's readiness for AI search engines like ChatGPT, Claude, and Perplexity in seconds.
@isreadyai · X
We help check if AI agents can read your site 💚 Free scan, no signup: — 32 checks in 5 seconds across GPTBot, ClaudeBot, Perplexity & more.
AI-powered code review that runs code in microVMs to catch 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
Compare and use multiple large 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
Store shared memories once and reuse them across AI systems and your team.
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
Learn data structures and algorithms through interactive visualizations and interview prep tools.
@aarsh_30 · X
