JobJam.io — AI Job Search & Application Platform
JobJam.io is a commercial AI-native platform for job seekers. It uses LLMs across the full search-to-apply lifecycle: discovering relevant roles, evaluating fit between a candidate and a job description, tailoring application materials per role, and surfacing skill gaps relative to a target position. Built on Next.js with TypeScript, Anthropic's Claude for the AI workflows, Supabase (EU) for data and auth, Stripe for payments, and Vercel for hosting. The pricing is deliberately one-time — aligned with how a job search actually plays out (a bursty effort over weeks or months) rather than a perpetual subscription.
Products I own and operate end to end — my roadmap, my users, my on-call.

- ▸Helping job seekers cut through hundreds of listings to surface the few worth actually applying to
- ▸Producing application materials tailored to each role without sliding into generic LLM output
- ▸Building a paid AI product in a market crowded with free subscription tools
- ▸AI fit-evaluation that scores how well a candidate matches each role using their profile and the JD
- ▸Per-role application tailoring that drafts focused cover letters and resume points
- ▸Skill-gap analysis that names exactly what is missing relative to a target position
- ▸One-time pricing model that aligns with how a job search actually plays out
Live commercial product at jobjam.io
Full AI workflow across discovery, fit, tailoring, and skill-gap analysis
EU data hosting via Supabase for privacy
Fathohm — Comprehension-Debt System of Record
See how much of your codebase no human understands. A treemap of your repo colored by human comprehension score, with a tracked, assignable metric for 'who understands what' in an AI-native codebase.
Grenz — Firewall for AI Agents
A local firewall for AI agents: scoped, revocable, observable permissions instead of your full GitHub token. Deny-by-default, MIT licensed, live at grenz.dev.
AI Workflow Builder
Chain LLM steps into a workflow with {{stepId.output}} substitution between steps. Pick a preset, edit any prompt, watch the chain execute step by step.