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Adra

on-device, image based macro tracking, no subscription

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This is 1 of 45 launches in photo food tracking and nutrition apps — see how it stacks up on momentum and crowding →

142 other launches read as similar to this one →

Details

External ID
1275815
Source
PH
Company
—
Product
Ara
Website domain
producthunt.com
Launched
Oct. 13, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.33
Tags
Android, Health & Fitness, Privacy, Artificial Intelligence

Description

Adra detects dishes from photos and gives you ingredient-level breakdowns of macros. Showing you which ingredients have what effect on your overall nutrition. Adra uses on-device image-processing AI combined with a database of dishes and ingredients, and it works fully offline. The bundled food catalog covers over 200,000 foods (whole foods, everyday dishes, branded products), and you can add your own dishes and recipes, which will be detected in time.

Enrichment

Niche
photo food tracking and nutrition apps
Vertical
Healthcare
Function
Analytics & BI
Audience
B2C
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
on-device macro tracker for health-conscious users
Manually corrected
False

Could you build this?

Partial Running offline on-device CV models to segment food items and map them accurately to a dense nutritional database requires specialized mobile ML quantization and curated nutritional datasets.

What it would actually take: The mobile app (iOS/Android using Swift/Kotlin or Flutter) must package lightweight quantized vision models (CoreML/TFLite such as YOLO or MobileNet fine-tuned on multi-dish food datasets). The hard problem is accurate localized ingredient identification and portion volume estimation purely offline without huge cloud multimodal models, coupled with an embedded SQLite nutritional database. Developing accurate edge vision for complex multi-ingredient dishes requires dataset collection, ML model training/distillation, and embedded optimization expertise.

Competitors

Other products that read as similar to this one — 142 launches clear the similarity bar, closest 8 shown.

Attention rank: #57 of 143 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 218 days after the earliest competitor.

Other launches for this product