AI assistants and search decision
RoastGPT
A single competent developer can reproduce the core functionality (screenshot OCR + LLM prompts + simple iOS UI) within a week and modest monthly costs; no durable moats are evident in the supplied product page.
View on the App Store↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$50one-off30 h to build
$50/mo3 h/mo upkeep
No published price to break even against.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All RoastGPT alternatives, with the arithmetic →
What a replacement has to do
- User provides text (typed) or uploads a screenshot; app extracts text if needed, sends a prompt to an LLM, receives a short roast/comeback, and displays it to the user.
What it still won’t have
- App Store listing polish and existing user reviews/ratings
- Any proprietary prompts, tuned models, or provider contracts the vendor uses
- Built-in moderation/abuse heuristics and analytics the published app may include
- Existing in-app purchase history and live funnel/marketing optimization
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
RoastGPT 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
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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
Build a minimal RoastGPT replacement: Backend: Node.js + Express (or Vapor) + PostgreSQL; Host on a small cloud VM (DigitalOcean/AWS t3) and use Docker. Use Tesseract or a managed OCR SDK for screenshot text extraction. Connect to an LLM provider (OpenAI/Anthropic) via API for generation. Client: SwiftUI iOS app targeting iOS 16+, with image picker/crop, text input, result display, and in-app purchase flow. Core features in scope: image upload + OCR, prompt composition + LLM call, result display, basic profanity moderation, receipt verification, logging. Out of scope: analytics dashboards, A/B experiments, heavy moderation pipelines, training custom models. Deliver: error handling for network/OCR/LLM failures, unit tests for backend endpoints, integration test for iOS upload+display flow, and CI that builds the app and runs server tests.
How we checked
How the score was reached
- Build verdict base78
- An open-source build was found+5
- 3 cited sources+3
- Evidence score86
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.
- official productRoastGPT - AI Roast Generator
- open sourceQuivrHQ/quivr
- open sourceszczyglis-dev/py-gpt
Integrity checks
What held up, and what did not.
