Proof of Usefulness Report

Agrahyah

Analysis completed on 1/5/2026

+232
Proof of Usefulness Score
Gaining Momentum

Agrahyah Technologies is a verified entity (founded 2017, Mumbai) with legitimate products like 'aawaz.com' (vernacular audio) and Amazon Alexa skills. They raised ~$1M Pre-Series A in 2019. However, the submission quality is extremely poor, containing false claims ('most people have used my product', 'construction' tag) and lacking verifiable metrics. While the company has real-world utility and a history of operation, the stagnation in recent revenue (<$150k estimated) and the disconnect between the submission's hyperbole and reality significantly reduce the score. The project falls into the 'Small but promising' category based on external data, heavily penalized for a low-quality submission.

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Score Breakdown

Real World Utility+56
Audience Reach Impact+15
Technical Innovation+25
Evidence Of Traction+22
Market Timing Relevance+48
Functional Completeness+5
Subtotal+29
Usefulness Multiplierx0.79
Final Score+232

Project Details

Project URL
Description
Agrahyah Technologies is a software company on a mission to make technology accessible to every Indian.\nWe are building a suite of mobile apps, products, and content ground-up for the millions of non-English literates.\n\n
Audience Reach
everyone
Target Users
everyone
Technologies
Software Development, Writing And-Editing, Construction
Traction Evidence
most people have used my product

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