Proof of Usefulness Report

Meal Roaster

Analysis completed on 2/21/2026

+41
Proof of Usefulness Score
You're In Business

Meal Roaster addresses a valid pain point (friction in nutrition tracking) with a convenient WhatsApp-based interface. However, the project is in a very early MVP stage with minimal traction (120 users, 90 analyses). While the problem-solution fit is decent, the scale is currently negligible compared to established benchmarks, and the technology relies on standard API integrations. It fits the 'Minimal Traction' category (0-100).

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Score Breakdown

Real World Utility+18.75
Audience Reach Impact+1.0
Technical Innovation+6.0
Evidence Of Traction+2.5
Market Timing Relevance+7.0
Functional Completeness+4.0
Subtotal+39.25
Usefulness Multiplierx1.05
Final Score+41

Project Details

Project URL
180gig.com/mealroaster
Description
Meal Roaster is an AI powered nutrition assistant that runs entirely inside WhatsApp. Users send a photo of their meal and instantly receive calorie, macro, and health insights without downloading an app. It makes food tracking simple, fast, and part of everyday conversation.
Audience Reach
Meal Roaster has 120 registered free users so far, with around 90 meal analyses completed. Early data shows consistent engagement and strong user interaction within WhatsApp.
Target Users
Meal Roaster is for busy individuals who want to track calories and improve their nutrition without downloading another app. It is ideal for gym members, weight loss clients, muscle gain enthusiasts, and anyone who wants simple, instant food tracking inside WhatsApp.
Technologies
Other, Meal Roaster is built using AI powered computer vision and large language models to analyze food images and generate nutrition insights. The backend is developed in Python, with API integrations and cloud infrastructure supporting real time processing and WhatsApp messaging automation.
Traction Evidence
Meal Roaster is currently in early stage rollout with 120 registered free users and 90 completed meal analyses tracked directly in our internal dashboard. Users are actively engaging with the WhatsApp based nutrition tracking system, with repeat usage observed across multiple sessions. We are currently onboarding additional users while preparing for broader public growth and enterprise partnerships. Dashboard metrics available upon request.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline