AI assistants and search decision
*** OF PROMPT OÜ
A technical user can reproduce the basic prompt library and generator, but the paid product's curated content, lifetime updates, brand, and bundled playbooks are the main commercial value that are costly to replicate fully.
Visit website↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off50 h to build
$20/mo6 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
- Browse/search prompt library → copy or generate a prompt with your context → paste into target model (ChatGPT/Claude/etc.) → optionally buy a bundle for lifetime access.
What it still won’t have
- The vendor’s curated and tested prompt collection and ongoing lifetime updates
- Vendor brand, support, reviews and trust signals
- Any proprietary playbooks, guides, and packaged toolkits sold in the bundle
What remains hard
- Brand trust
Trusted by inspiring people and leading brands.
First-year cost
No published price
*** OF PROMPT OÜ 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
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
Build a lightweight prompt-library web app using Next.js (React) + Tailwind, Postgres (Supabase or Render DB) and Prisma. Core features in scope: (1) prompt catalog with categories/tags and full-text search, (2) prompt detail and "generate" UI that fills placeholders and previews final prompt, (3) one-time purchase checkout via Stripe with license entitlement checks, (4) simple auth (email link) and account page showing purchased bundles, (5) small admin UI to upload/edit prompt packs and push updates. Out of scope: training models, providing hosted model inference, paid community features, and advanced analytics. Include error handling, input validation, automated tests for APIs and critical UI flows, and deployment scripts (Vercel or Fly).
How we checked
How the score was reached
- Partly verdict base52
- 3/3 assessment runs agreed+4
- 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 →Integrity checks
What held up, and what did not.
