The full gallery
Tech stack
60 projects
AI-powered grading and plagiarism detection tool for teachers managing student assignments.
@ProfDeskApp · X
Let's connect. Building giving teachers their night back.
Scan your AI bills to find waste and prove savings with tamper-evident evidence.
@askrashidkhan · X
Convert CVE data into machine-readable risk signals for AI agents and automation.
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.
Security scanner that detects vulnerabilities in AI-generated code repositories.
@GetPrbl · X
Analyze CVs and screen job candidates with AI scoring, skill gaps, and interview questions.
@HireXhub · X
Two AI reviewers analyze your code independently and verify each other's bug findings.
@BotariaDotBot · X
This Tuesday I'm launching Botbugger on @ProductHunt 🚀 One AI reviewer gives you 10 "critical" bugs — half hallucinated. So I built two: Claude Code + Codex review your code independently, then cross-check each other. Real bugs with fixes, not noise.
Analyze Hacker News profiles with your own LLM API key, fully client-side.
Topfi · HN
Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma
Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents
Scan broken and for-parts listings to find profitable flips with calculated margins.
@Brokefixflip · X
This site will print you money
Track AI usage, apply guardrails, and maintain audit evidence for your projects.
@Lathithaa_Mdayi · X
Scan crypto tokens for risk analysis using AI-powered detection from screenshots.
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]
Use AI code review that runs code in microVMs to catch more bugs faster.
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
