Health, home and travel decision

Pelotero

A single competent developer can build and maintain a useful replacement (game entry, DB, ranking job, feed and profiles) in about a week; the main value you lose is the product's official branding and existing user/data.

Visit website

Built by Ronaldo Paulino, who ships 4 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-off31 h to build

$0/mo5 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

  • Users submit game results; store games and player stats; compute/update rankings; show feed, leaderboards and player/team pages.

What it still won’t have

  • Official branding / recognition as the 'official' softball ranking
  • Any existing userbase, historical data and community contributions
  • Potential mobile apps or platform integrations the vendor may offer
  • Polish, analytics, and production hardening of the paid product

What remains hard

  • Brand trustEl ranking oficial del softbol
Read the build prompt

First-year cost

No published price

Pelotero 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 minimal Pelotero-style web app using: Postgres, Node.js (Express) backend, and React frontend, deployed on a single VPS or managed service (Render/Vercel + managed Postgres). Core features in scope: (1) authenticated user accounts (email or OAuth), (2) game submission form with validation (teams, players, date, scores), (3) Postgres schema for players/teams/games/stats, (4) backend job or endpoint to compute rankings and leaderboards and store results, (5) frontend pages: feed, game detail, player profile, team standings, and admin UI to edit entries. Out of scope: mobile native apps, internationalization, advanced analytics dashboards, and third-party league integrations. Include server-side error handling, input validation, background job retries for ranking computation, unit tests for API endpoints, and deployment/run instructions (env vars, migrations, cron job setup).
How we checked1 sources · 2/3 runs agreed · evidence score 78

How the score was reached

  • Build verdict base78
  • Evidence score78

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.

! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat quoted from the page