Learning and careers decision

Hidden Jobs

A competent developer can replace the job board and direct-apply features (multi-week effort), but reproducing the AI application service and any curated proprietary data would be harder — keep paying if you need the automated application workflow.

Visit website
You pay

$17.99/mo

$216/yr

Read off the official pricing page.

You’d pay instead

$100one-off60 h to build

$0/mo4 h/mo upkeep

On cash alone, building overtakes the subscription at 1 seat.

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Crawl/ingest remote job postings, store and index them, provide search/filters and direct-apply links, and manage user accounts/subscriptions.

What it still won’t have

  • Built-in AI application submission service (automating applications using your CV)
  • Any proprietary job-curation heuristics or datasets Hidden Jobs uses
  • Brand, convenience, and any curated premium listings Hidden Jobs negotiates

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 1 seat.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a searchable remote-tech job board using Next.js (React) + TypeScript, Postgres (hosted via Supabase) for storage and auth, and Stripe for subscriptions. Core features in scope: scheduled scrapers/connectors to ingest job postings (CSV/ATS/company careers), a normalize-and-index pipeline, a user profile page to upload CV and set role/category filters, a search and filter UI showing direct-apply links, and an admin review workflow for new posts. Out of scope: AI-driven automatic application submission and training proprietary models. Include error handling, retries for scrapers, pagination, rate-limit safeguards, logging, and unit + integration tests; provide Docker deployment and instructions for running on a single VPS or Vercel + Supabase stack.
How we checked4 sources · 3/3 runs agreed · evidence score 62

How the score was reached

  • Partly verdict base52
  • 4 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score62

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded