Health, home and travel decision
Bokha
A single developer can build and maintain a minimal Bokha replacement in about one week using Open Food Facts and existing barcode libraries; the product's durable value (curated data, brand, app polish) is not reproduced.
Visit website↗Built by Alex, who ships 10 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/mo3 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 scans product barcode → app queries Open Food Facts → parse ingredients → match against user's allergen list → show result and save to local history/favorites
What it still won’t have
- Polished UI/UX and cross-platform App Store/Play polish and review management
- Any proprietary, curated product database or commercial data curation
- Ongoing product marketing, support, and public user reviews/ratings
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Bokha 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 minimal cross-platform mobile app in React Native (Expo or bare RN) using react-native-vision-camera (or equivalent) for barcode scanning, fetch product data from the Open Food Facts API by barcode, implement ingredient parsing and a ruleset to detect these 13 allergens: eggs, gluten, nuts, peanuts, milk, soybeans, fish, sulphites, mustard, celery, sesame, crustaceans and molluscs, persist scan history and favorites in a local encrypted SQLite DB, and provide screens: Scan, Result (show matched allergens, traces, additives), History, and Settings (allergen preferences). Out of scope: training ML models, building a proprietary product database, and app store marketing. Include error handling for camera/ network failures, unit tests for parsing/allergen detection, and CI build scripts for iOS and Android packaging.
How we checked
How the score was reached
- Build verdict base78
- 3 cited sources+3
- 3/3 assessment runs agreed+4
- Evidence score85
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 productBokha home
- official pricingBokha pricing
- official docsBokha product
Integrity checks
What held up, and what did not.
