ApplyBoard
Not a job board — the whole search, run for you. It finds the roles, scores the fit, writes the CV and the cover letter, and keeps the entire pipeline in one place. Cloud-native and built to serve many people, each in their own private instance.
"Searching for a job is a full-time job. ApplyBoard does the repetitive 90%, so the person only does the part that needs a human."
The job search is fragmented and repetitive: roles scattered across a dozen platforms, hundreds of irrelevant posts to filter, a CV and a cover letter to rewrite for every application, and no single place to know what you applied to, when, and what needs a follow-up. Most tools only solve one slice — usually just "find jobs". The other 80% of the work is left to the person.
ApplyBoard is the whole operating system for the search — not a feature of it. It covers the entire funnel end to end:
- + Discovers roles across LinkedIn, Indeed, Glassdoor and company ATSs (Greenhouse, Ashby, Lever, Workday)
- + Scores every role 0–9 against your profile with an LLM, and explains why
- + Writes a tailored CV and cover letter for each role, automatically
- + Centralises everything — applied, waiting, rejected, interviews — in one place
- + Tracks follow-ups and surfaces the ones going cold
- + A recruiter / hiring-manager contacts book for cold outreach
- + One dashboard to run the whole search: filter, open, apply, mark, note
ApplyBoard isn't a script I run for myself — it's designed to serve many people. It's cloud-native and multi-tenant: every user gets their own private instance and their own isolated data, protected by row-level security in Postgres. Same engine, different person.
It already runs live for more than one profile, and the difference between them proves the point: one instance is tuned for AI & consulting roles, another for wealth management — different search criteria, different CV tracks, different scoring, different languages, fully independent. Onboarding a new person is spinning up their instance, not rebuilding the product.
A real, working system in daily use — thousands of roles processed and hundreds of applications managed through it.
- Discovery engine
- Pulls from the big boards plus direct ATS APIs of curated companies, so roles land the day they're posted — with the real application URL and the full description.
- AI fit-scoring
- Each role is scored 0–9 against the user's profile with reasoning, tuned per person with boost / penalty signals, seniority ceilings and language filters.
- Document generation
- Tailored CVs and cover letters per role, generated as PDF and DOCX from a set of base CV tracks and the user's source-of-truth profile.
- The dashboard
- A live app — local and online — with one-click actions: apply-now queue, open CV/letter, mark applied, star, skip, notes, response tracking and a follow-up queue.
- Cloud backend
- Supabase / Postgres with row-level security. Each user's data is isolated by user_id, synced between their machine and the cloud so the board is reachable anywhere.
- Daily automation
- A morning routine runs discovery, scoring and generation on a schedule and syncs the results — the board is fresh before the day starts.
The engine works and runs every day. The direction now is turning it from a multi-instance tool into a product other people can simply sign into: self-serve onboarding, a hosted dashboard per user, and moving beyond applications into the part that actually converts — warm outreach to the right people. The bet is that the winning job-search tool owns the whole funnel, not just the search box.