AI assistants and search decision
Promptgod
A capable technical user can reproduce the core Prompt God functionality (extension + backend prompt rewrites and a prompt library) using existing open-source assistant projects; it requires a multi-week build but is realistic to self-host.
Visit website↗Built by Nicolae Maties, who ships 9 products in this index
Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off80 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
- User clicks sparkle button in a web AI chat; extension sends the selected prompt to a backend; backend rewrites prompt via an LLM and returns it to the extension which replaces the text and saves to the user's prompt library.
What it still won’t have
- centralized Chrome Web Store listing and automatic extension updates
- one-click paid Lifetime Pro checkout handled by vendor (you must run your own payment/entitlement flow)
- the vendor-managed backend that holds provider API keys (you must supply and pay for model keys)
- any vendor analytics, hosted telemetry, or proprietary UX polish not reproduced
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Promptgod 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 self-hosted prompt-enhancer service and Chrome extension using a Node.js + Express backend, Postgres (managed), and a React-based Chrome extension UI. Core features in scope: (1) Chrome content script that detects supported AI chat sites and injects a 'sparkle' button to send selected prompt text to the backend, (2) backend API endpoints for rewrite requests, user sign-in (OAuth via Google), and prompt-library CRUD, (3) LLM integration module calling GPT-4o-mini (configurable via env API key) with prompt-engineering wrappers and caching, (4) persistent prompt library with full-text search in Postgres, collections, and named rewrite modes, (5) Stripe integration for a one-time purchase entitlement, (6) tests for API endpoints and extension UI flows, and (7) deployment scripts for a small VPS or Cloud Run. Out of scope: mobile browsers, multi-tenant enterprise billing, and proprietary analytics. Require error handling, rate-limit/backoff for LLM calls, unit and end-to-end tests, and a README with deployment and config steps.
How we checked
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.
- official productPrompt God — official product page
- official pricingPrompt God pricing
Integrity checks
What held up, and what did not.
