Proof of Usefulness Report

Babel

Analysis completed on 1/15/2026

+373
Proof of Usefulness Score
Certified Problem Solver

Babel Inc. is a verifiable Japanese startup with approximately $4M in funding and a functional AI face-swap application (iface). While the external traction signals (funding, App Store presence) place it in a 'comparable scale' tier to established brands, the submission quality is critically low. The user claims 'most people have used my product' (false) and selected irrelevant tags like 'construction'. The project has legitimate technology and global reach, but the submission's hyperbole and lack of concrete metrics necessitate significant penalties in Response Quality and Quality Factors. The score reflects a funded company with a working product, tempered by poor presentation and mixed user reviews regarding subscription costs.

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Score Breakdown

Real World Utility+0
Audience Reach Impact+0
Technical Innovation+0
Evidence Of Traction+0
Market Timing Relevance+0
Functional Completeness+0
Subtotal+439
Usefulness Multiplierx0.85
Final Score+373

Project Details

Project URL
babel.jp
Description
Babel, Inc is a startup IT company based in Japan.\nWe are creating products that are useful for users, utilizing various engines and products, and building them flexibly using AI depending on the challenges!\nCurrently, we are developing an application called \"iface\" that converts faces in videos!(https://apple.co/32zFlcm)\nWe are currently developing an app called \"iface\" that converts faces in videos. We are using AI technology that only two companies in the world have to convert faces in videos instantly on mobile devices!\nMore than 80% of our users are outside of Japan (mostly in the U.S., U.K., France, etc.), which is very rare for an app from Japan!\n
Audience Reach
everyone
Target Users
everyone
Technologies
Software Development, Entrepreneurship, Construction
Traction Evidence
most people have used my product

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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