Learning and careers decision

Christian Tech Jobs

A single developer can reproduce the core job-aggregation, search, and AI-match features (multi-week effort), but you won't get the site's established audience, curated coverage, or brand trust without significant marketing and operations; consider building a narrow feed or self-hosting prior art instead.

Visit website
You pay

$10/mo

$120/yr

Read off the official pricing page.

You’d pay instead

$100one-off152 h to build

$20/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 3 seats.

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

  • Daily scrape career pages into a job feed, store and index jobs, present searchable/filterable listings, enable account/subscription gating, compute and serve resume-to-job AI similarity matches.

What it still won’t have

  • Existing audience and brand (45,600+ monthly visitors and trust from named organizations)
  • Curated premium feed of roles aggregated from 525+ organizations (scale of scraping coverage)
  • Polished daily scraping and freshness processes
  • Established payment/subscription conversion optimizations and UX

What remains hard

  • Brand trustTrusted by YouVersion, BibleProject, Compassion International, and Samaritan's Purse
  • Execution qualityWe re-scrape each organization's career page daily.
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 3 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
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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 minimal Christian tech job board using Next.js (React) for the frontend, Node.js + Express for the API, Postgres for storage, Redis for job queueing, and Docker for local dev. Core features in scope: (1) daily scraper workers that fetch and normalise career pages into a jobs table and deduplicate entries; (2) authenticated accounts with Stripe subscription gating (monthly plan); (3) searchable/filterable job list and job detail pages; (4) resume upload -> OpenAI embeddings (text-embedding-3-small) for similarity ranking and an 'AI Matches' endpoint; (5) weekly email digest job and saved-search alerts. Out of scope: multi-tenant company dashboards, advanced analytics, mobile apps, and user community features. Require error handling on external fetches, retries, logging, basic rate limiting, unit and integration tests for scraper, API, and ranking code, and Docker Compose + deployment instructions for a single small VPS (or Vercel for frontend + Heroku/Render for API).
How we checked3 sources · 3/3 runs agreed · evidence score 62

How the score was reached

  • Partly verdict base52
  • 3 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 · 3

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! 2 moats quoted from the page