Learning and careers decision

Janus

A competent developer can build a useful replacement: the core (upload, LLM card generation, review UI, Anki export) is implementable and prior open-source projects demonstrate feasibility; Janus's production polish and support are what you'd be trading away.

Visit website
You pay

$7/mo

$84/yr

Read off the official pricing page.

You’d pay instead

$100one-off60 h to build

$50/mo4 h/mo upkeep

On cash alone, building overtakes the subscription at 9 seats.

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 Janus alternatives, with the arithmetic →

What a replacement has to do

  • Upload content → extract and preprocess text → generate flashcards with an LLM using prompts and heuristics → present cards for review/highlight edits → export deck (Anki/Mochi/etc).

What it still won’t have

  • Polished production UI and onboarding flow
  • Official premium support
  • Any proprietary prompt library and quality-tuning Janus provides
  • Operational reliability, analytics and team workflows at scale

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 9 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

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 lightweight AI flashcard generator as a single-developer project using Node.js (Express) backend, PostgreSQL for metadata, S3-compatible storage, React frontend, and OpenAI-compatible LLM API. Core features in scope: upload PDF/Markdown/URL/YouTube, text extraction and chunking, prompt-engineered LLM card generation (Q&A, cloze, image-occlusion), per-deck review UI with highlight-to-flashcard and reusable prompt templates, and Anki/Mochi/SuperMemo export. Out of scope: team billing, analytics dashboard, enterprise SSO. Include tests for parsing and generation flows, error handling for failed extractions and API errors, and deployment scripts (Docker + single-node VPS).
How we checked3 sources · 3/3 runs agreed · evidence score 93

How the score was reached

  • Build verdict base78
  • An open-source build was found+5
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score93

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.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded