Learning and careers decision
Legra
A single capable developer can implement a useful offline SM-2 IELTS vocab app (no durable moats visible in the product pages), so building a replacement is realistic and likely cheaper than continuing to pay for a proprietary service.
Visit website↗Built by Ozer SUBASI, who ships 4 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-off40 h to build
$0/mo1 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 Legra alternatives, with the arithmetic →
What a replacement has to do
- Present daily review deck generated by SM-2 scheduler; let user mark known/unknown; update next review date per SM-2; record XP/series and show progress; store all data locally and allow import of curated word lists (definitions, translations, IPA, example sentences).
What it still won’t have
- App Store/Play Store marketing and visibility
- Polish and UX refinements (animations, localized copy)
- Curated wordlists and editorial content maintenance
- Brand trust and existing user base
- Built-in privacy statements and legal polish
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Legra 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 cross-platform mobile app in Flutter (Dart) that runs fully offline and targets Android and iOS. Core features in scope: implement SM-2 spaced repetition scheduler; local SQLite (sqflite) storage for word entries and user progress; import/export wordlists via CSV/JSON; review UI showing word, English definition, Turkish translation, IPA, and example sentence with Known/Unknown buttons; XP, streaks, badge system and a weekly progress chart; one-touch delete of all local data; unit tests for scheduler and persistence and basic widget tests for review flow. Out of scope: remote sync, user accounts, server components, analytics backends, and paid monetization flows. Include error handling for import parsing, storage failures, and missing media, and provide automated tests and a CI workflow that builds Android and iOS debug artifacts.
How we checked
How the score was reached
- Build verdict base78
- An open-source build was found+5
- 4 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 · 4
Every page the run actually retrieved.
- official productLegra — IELTS kelime çalışması
- official productLegra — Nasıl çalışır
- official productLegra — Gizlilik ve offline
- open sourcebaturyilmaz/wordpecker-app
Integrity checks
What held up, and what did not.