Learning and careers decision

Teal Plus

A small technical team can reproduce the core resume building, AI text generation, and job-tracking features for less than the vendor subscription; Teal's brand and polished extensions/templates are the main non-trivial advantages to keep paying.

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You pay

$29/mo

$348/yr

Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$50/mo8 h/mo upkeep

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

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Teal Plus alternatives, with the arithmetic →

What a replacement has to do

  • User uploads or composes a resume → system analyzes resume and job description for keyword/match score → AI suggests tailored bullets/summary/cover letter → user saves customized resume and tracks the application in a job tracker.

What it still won’t have

  • Chrome extension job-board bookmarking
  • Large curated library of resume & cover letter templates/examples
  • Polished onboarding, analytics, and product polish at Teal scale
  • Brand recognition and community trust

What remains hard

  • Brand trustOver 4 Million Users
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
—

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 self-hosted Teal-like service using Next.js (React) frontend, Postgres, and a small Node/Express API server. In scope: user signup/login (email+password), upload and store resumes, a web resume editor with 5 templates and PDF export, job-entry form for a job tracker (create/update/status/notes), job description paste/upload and a keyword-extraction + semantic match endpoint (use OpenAI embeddings or an open embedding model), and AI endpoints to generate resume bullets, professional summary, and cover letters via an LLM API. Out of scope: browser extension, large curated resume marketplace, advanced analytics, and paid billing/subscription flows. Include error handling, rate-limiting on AI calls, basic unit and integration tests, and a README with deployment steps (Docker + docker-compose).
How we checked5 sources · 3/3 runs agreed · evidence score 67

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score67

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 · 5

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 quoted from the page