Learning and careers decision
Cramberry
A small team or capable technical user can build a useful replacement (core upload → LLM-generated flashcards/quizzes) in a few weeks using existing OSS components; Cramberry's product polish, apps, and support are what you'd give up.
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
$120/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
- Upload source (PDF/YouTube/image) → extract text (OCR/transcript) → chunk + prompt LLM to generate flashcards/quizzes/notes → store study set and present study UI with spaced-repetition
What it still won’t have
- Polished iPhone/iPad apps and (coming) Android app
- Priority customer support and commercial SLAs
- Polish of multi-format in-browser readers (PDF side-by-side, video player integration)
- Productized analytics, scaling, and operational experience
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Cramberry 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 single-tenant web app (Next.js + React frontend, Node backend, Postgres DB) that accepts PDF/image uploads and YouTube links, runs OCR (Tesseract) and transcription (Whisper or provider), chunks text, calls OpenAI-compatible LLMs via an API to produce flashcards, quizzes, and summaries, stores study sets in Postgres, and provides a basic study UI (flashcard flip, quiz with auto-feedback, per-card mastery tracking and spaced-repetition scheduler). Include user auth (email), file storage (S3), error handling, logging, and unit/integration tests for parsing and LLM flows. Out of scope: mobile apps, advanced analytics, multi-tenant billing, and offline sync.
How we checked
How the score was reached
- Partly verdict base52
- 2 cited sources+1
- Evidence score53
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 productCramberry homepage (features & pricing)
- official pricingCramberry pricing (Weekly tier shown on homepage)
Integrity checks
What held up, and what did not.
