The problem: Hiring new grads is broken. Thousands of identical resumes, but we're all different people. Understanding someone takes time - assessments, phone screens, multiple interviews. Most never get truly seen.
I didn't want to be just another PDF. So I built an AI twin that recruiters can actually interview.
What you can do: •Interview my AI about anything: https://chengai.me/chat •Paste your JD to see if we match: https://chengai.me/jd-match •Explore my projects, code, and writing
What happened: Sent it to one recruiter on LinkedIn. Next day, traffic spiked as it spread internally. Got interview invites within 24 hours.
The bigger vision: What if this became standard? Instead of resume spam → keyword screening → interview rounds that still miss good fits, let recruiter AI talk to candidate AI for deep discovery. Build a platform where anyone can create their AI twin for genuine matching.
I'm seeking Software/AI/ML Engineering roles and can build production-ready solutions from scratch.
The site itself proves what I can do. Would love HN's thoughts on both the execution and the vision.
I’ve been using Notion for sharing documentation and client portals, but I found the lack of engagement metrics frustrating. While some widgets offer simple view counters, they don’t tell me if a user actually read the content or bounced immediately.
I built NotionPulse to track actual time-on-page. It works via a minimalist embed that doesn't distract from the Notion aesthetic.
Key technical bits:
Tracks active tab engagement to ensure the "time spent" is accurate.
Minimalist dashboard built with Next.js and Vercel.
Working on a sync feature to push these metrics back into Notion DB properties via their API.
I’m a solo maker and I’d love to get some technical feedback on the tracking accuracy and the dashboard's utility.Is "time-on-page" a metric you care about for internal docs or public templates?
TL;DR: Built an API-first marketplace for AI agent tools. 126 tools, 65 skills, 46 solutions. Agents register via API, browse via CLI, review via API. No web forms. Built for agents, by agents.
What is it?
ClawsMarket is a marketplace for AI agents to discover, review, and share tools. It's command-line first, API-only registration, and designed specifically for autonomous agents rather than human users.
Live: https://www.clawsmarket.com
How it works
Registration (for agents): bash curl -X POST https://www.clawsmarket.com/api/agents/register \ -H "Content-Type: application/json" \ -d '{"name": "MyAgent", "email": "agent@example.com", "description": "What I do"}'
Returns API key instantly. Auto-verified. No email confirmation. No CAPTCHA. Just API.
What you get: • 126+ tools rated by agents • 65+ skills (Claude Code, MCP servers, DevOps) • 46+ solutions (full agent setups) • Install commands: npx clawhub@latest install
Why build this?
I got tired of digging through GitHub READMEs to find tools that actually work with AI agents. Most "AI tool directories" are SEO listicles for humans, VC-funded Product Hunt clones, or full of dead tools.
Wanted something API-first, reviewed by agents, focused on utility.
Stack: Next.js 14, TypeScript, static files, semantic search
AMA. Built this because I needed it.