Learning and careers decision

FirstRevenue

A technical user can build a narrow self-hosted replacement for the guided daily-plan and AI-coach workflow, but reproducing the polished native app, App Store subscription UX, content library, and ongoing product polish at scale is impractical without the vendor's assets.

View on the App Store
You pay

$14.99/mo

$180/yr

Read off the official pricing page.

You’d pay instead

$100one-off102 h to build

$50/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 4 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

  • User onboarding -> daily action plan (tasks) -> complete task to unlock short lesson -> AI assistant generates outreach/pricing text -> progress/streak tracking

What it still won’t have

  • Polished native iOS UX and App Store distribution conveniences
  • Built-in App Store subscription handling and receipts
  • Ongoing product polish, A/B testing, and frequent updates
  • Any proprietary content or curated lesson production not supplied

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 4 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 web app (React frontend, Node/Express backend, PostgreSQL) that reproduces FirstRevenue's core guided program: (1) onboarding form to capture skills, budget, availability and assign one of two revenue paths; (2) a daily task scheduler that surfaces one actionable task per day and requires marking complete to unlock a short video lesson; (3) a video lesson library with categories and per-lesson locking; (4) an AI coach integrated via OpenAI (or other LLM) to generate outreach messages and pricing suggestions, with prompts tailored to the user's assigned path and task state; (5) progress tracking with milestones and streaks. Out of scope: native iOS app, payment/subscription processing (mock with flag), content production. Include authentication, error handling, unit tests for backend endpoints, Dockerfiles for local deployment, and a README with deployment steps and costs for hosting (managed Postgres, Heroku/AWS/GCP) and LLM usage.
How we checked2 sources · 2/3 runs agreed · evidence score 56

How the score was reached

  • Partly verdict base52
  • 2 cited sources+1
  • Price verified on pricing page+3
  • Evidence score56

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 · 2

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded