
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 )
完整作品展
技术栈
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 )

用AI批量筛选简历并生成排序清单和评分解释的工具。
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

分析 AI 提示词,识别问题并返回改进版本。
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

为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
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

XTokenChecker是一个AI模型目录,用于对比不同AI网关上的覆盖率、定价和延迟。
zizheruan · HN
XTokenChecker – Verifies model identities of your AI gateway

通过AI简历筛选和结构化面试进行技术候选人招聘。
@__singhritwik · X

AI 评分 YouTube 视频,帮助优化你的观看列表和优先级。
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

查看生产Agent追踪记录,识别并修复重复故障。
@guru3s · X
IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at

Etch: 追踪、重放和验证AI代理的决策,提供签名审计线索。
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

用AI根据具体性、证据质量和风险清晰度为创业想法评分。
@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.

用Python或可视块构建交易机器人,进行回测并参与排行榜竞争,无需真金白银。
@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.