
JSA
Semantic job search and applications tracking
What it does
Stop wasting time on irrelevant jobs. JSA uses semantic AI to match roles that actually fit your skills and preferences - beyond keywords. Upload your CV or describe your background. Get instant AI-powered matches from multiple sources. Filter by location, skills, setup, and more. Re-rank with semantic sliders (seniority, preferences, fit). Track applications in a kanban board. A productivity tool, not a chatbot. Serving NL - Amsterdam, Rotterdam, The Hague, and Utrecht. Join our Open Alpha!
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- S2Spent 2.5 years building better job search (now using it to find a job)Jan 2026 · jsa.works · ▲8
Hello HN! After 2.5 years of development, I'm sharing Job Search Assistant (https://jsa.works) - even though I still don't feel quite ready. It's an open alpha of a job search platform that actually matches positions to your resume properly. The problem: Major platforms like LinkedIn, Indeed, etc. have terrible search despite huge resources. Search for "senior backend engineer" and you'll get frontend internships in the top results. They optimize for engagement, not relevance. My solution: JSA uses LLMs for resume/job parsing and semantic vector search for matching. Upload…
- JCJob Compass – AI agents that help you find jobs, not replace you2025 · jobcompass.ai · ▲30
My friend and I got tired of job hunting (347 applications, 4 responses) so we built AI agents to help job seekers instead of replacing them. The problem: 73% of applications never reach humans, 250+ people apply to each job, but 85% of positions are filled through networking. Our solution: AI agents that find hiring managers for any LinkedIn job, analyze your profile fit, and generate personalized outreach messages. Instead of competing with hundreds in the application pile, you reach decision-makers directly. Technical bits: LangChain + OpenAI for job parsing, Next.js + Supabase, custom…
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Hey we are Computable. We spent years building trading infrastructure at Jump Trading and Coinbase. From that point of view, compute looks like energy markets before 2000: everything trades through private bilateral leases, there’s no visible price, and nothing can be resold. The same H100 rents at a 2x spread depending on who’s asking, and once you sign a 24-month lease, it can never change hands. So we built a market for GPU nodes, sold by the calendar week. Here are three things you can do on it that you can’t do anywhere else: - Buy exactly the weeks you need. Three nodes for the last…
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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