Social media decision

Redditgrowthdb

A single competent developer can reproduce the searchable subreddit database and export features in about one week; there are no visible durable moats on the vendor pages, so building is realistic and likely cheaper than long-term dependence on the hosted site.

Visit website

Built by Rahul K, who ships 15 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

$50one-off24 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

  • Search/filter a curated subreddit list, view posting rules and modmail links, export CSV/JSON, and download the dataset.

What it still won’t have

  • The vendor-maintained curation and periodic re-verification of subreddit posting rules
  • The site's domain authority / backlink package and any backlink services referenced (BacklinkRocket)
  • Any editorial guides, SEO landing pages, or integrations the hosted site provides

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

Redditgrowthdb 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

—

—

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 small web app (Postgres + FastAPI + React) that provides a searchable, filterable database of ~52 subreddit records. Core features in scope: (1) Postgres schema for subreddit records (name, subscriber_count, category, posting_verdict, source_url, modmail_link, tags, last_verified), (2) REST API endpoints: list (with filter/search/paging), single record, CSV export, JSON export, (3) React UI to browse, filter, preview records and trigger exports, (4) server-side generation of modmail links and exposure of source-linked verdicts, (5) CI tests for API and export, and error handling for missing/invalid data. Out of scope: automated scraping or continuous verification jobs beyond a one-off import. Include unit tests, basic integration tests, Dockerfiles for service and frontend, and a README with deploy steps for DigitalOcean/Render. Ensure HTTPS and environment-variable driven config, and include a simple script to import the initial 52 rows from a CSV.
How we checked3 sources · 3/3 runs agreed · evidence score 85

How the score was reached

  • Build verdict base78
  • 3 cited sources+3
  • 3/3 assessment runs agreed+4
  • Evidence score85

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.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded