
AI Judge
One bundle. Three independent judges. Reproducible rankings.
@Imranmohsin18 · X
sites I’m working on: Please check out and give me feedback all are public showcasing my skills :D ( not selling anything atm )
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23 projects

One bundle. Three independent judges. Reproducible rankings.
@Imranmohsin18 · X
sites I’m working on: Please check out and give me feedback all are public showcasing my skills :D ( not selling anything atm )

Bulk-screen resumes with AI that ranks applications and explains every score.
u/Loud-Arm505 · Reddit
I built a AI resume screening for recruiters, please give me your feedback on it Built an AI resume screener that explains its scoring instead of a black box, tear it apart Been building this for a few weeks: recruiters can bulk-screen resumes and get a ranked list, but every score comes with an explanation of why + a bias-aware summary, instead of just a mystery number. Also generates interview questions per candidate. I built this because I saw the high number of job seekers and so it cou

Analyzes AI prompts to identify failures and return corrected versions.
u/pulptaken · Reddit
I built a website to audit AI prompts I'm giving away a limited number of early access invites for anyone who wants to try Marzel. You'll also be able to try the product once directly from the landing page, without joining the early access. This initial phase is focused on validating the core features and collecting feedback. After that, Marzel will also include a browser extension and a desktop app for auditing Claude Code and Codex CLI sessions, which is the project's main goal. If yo

Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

Compare AI model coverage, pricing, uptime, and latency across different AI relays.
zizheruan · HN
XTokenChecker – Verifies model identities of your AI gateway

Screen and interview technical candidates with AI resume filtering and structured interviews.
@__singhritwik · X

Get AI grades for YouTube videos based on quality and personal alignment to prioritize your backlog.
u/UnderstandingBusy758 · Reddit
I hoard YouTube "Watch Later" videos I never watch (OneTab). So I built a bouncer that reads the transcript and tells me if it's worth my time. My Watch Later list hit a few hundred videos. Every one of them felt "worth it someday," so the pile only grew — the same way browser tabs piled up before OneTab. So I built WatchBouncer. Paste YouTube links — one, or your whole Watch Later — and an AI reads the actual transcript (not the thumbnail, not the hype). Each video gets: a quality scor

Review production agent traces to identify and fix recurring failures.
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at

Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in

Score startup ideas based on specificity, evidence quality, and risk clarity using AI.
@nellaiorgs · X
Building NELL Labs -- an AI-native startup validation platform. Instead of generic LLM answers, it scores your idea across specificity, evidence quality, risk clarity, and next-step usefulness, so you know if it's actually validated or just sounds good.

Build and backtest trading bots with Python or visual blocks, compete on leaderboards without risking real money.
@CodeBullapp · X
Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.