Health, home and travel decision

Buddy Crush

A basic social habit tracker (groups + leaderboard) is realistic for one competent developer to build and operate in about a week; the main durable advantage is network effects (communities), which a DIY replacement won't have but doesn't prevent building a functional alternative.

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Built by Marc Lou, who ships 32 products in this index

You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off36 h to build

$0/mo3 h/mo upkeep

No published price to break even against.

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 habit completion by users → update group view and leaderboard → social feedback and streaks

What it still won’t have

  • Mature mobile apps (iOS/Android) and app-store distribution
  • Large existing user community and network-derived content
  • Polished UX, analytics, and marketing polish of a hosted product
  • Advanced gamification or integrations not implemented

What remains hard

  • Network effectsCreate or join accountability groups , see each other's progress, and compete for the leaderboard!
  • Network effectsInvite your friends to grow together. Join existing groups to make new friends!
  • Network effectsVisualize when others complete their habits—as if you were doing it together!
Read the build prompt

First-year cost

No published price

Buddy Crush does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

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—

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 self-hosted single-tenant web app using Next.js (React) + Node API, PostgreSQL (Host on DigitalOcean or Supabase), and Postmark or SendGrid for email. Core features in scope: email auth and user profiles; create/join accountability groups; define daily habits and record completions (CRUD, recurrence rules); compute per-group consistency scores and a leaderboard; responsive web UI with group feed, habit checkboxes, profile and leaderboard pages; background job to compute daily leaderboard and send reminder emails. Out of scope: native mobile apps, third-party social logins, advanced gamification, and analytics dashboards. Require input validation, authentication checks, error handling for all API routes, background job retry logic, and automated tests (unit for score logic, integration for API endpoints). Provide README with deployment steps (Docker), a sample .env, and backup/restore instructions for the database.
How we checked1 sources · 3/3 runs agreed · evidence score 79

How the score was reached

  • Build verdict base78
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score79

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 · 1

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 3 moats quoted from the page