Round 1 Winners!
Proof of Usefulness Report

Emakia

Analysis completed on 3/16/2026

+47
Proof of Usefulness Score
You're In Business

Emakia addresses a highly relevant and critical issue (social media harassment) with a theoretically sound technical approach using ML classifiers. However, the submission suffers from heavily exaggerated and unverifiable claims regarding traction ('most people have used my product') and confusing financial metrics ('marketcap' for a 501c3 nonprofit). Due to the lack of credible evidence of adoption, the project scores in the minimal traction tier.

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Score Breakdown

Real World Utility+20.00
Audience Reach Impact+2.00
Technical Innovation+9.00
Evidence Of Traction+1.25
Market Timing Relevance+8.00
Functional Completeness+1.00
Subtotal+41.25
Usefulness Multiplierx1.15
Final Score+47

Project Details

Project URL
Description
Emakia is a 501(c) 3 nonprofit startup that researches and develops the filtering out of harassment on social media platforms. The purpose of Emakia is to protect the receiver of social media content by developing a system that filters trolls, harassment, and fake news. Emakia’s first app, Enaëlle will provide users access to their social media feeds that filter out unwanted content. Using machine learning (ML) classifiers, the app filters text, image, audio, and video data. Emakia is designed not only to filter the unwanted content on Enaëlle, it will also automate the reporting of harassment via emails. The reports will be sent to individuals or affinity organizations chosen by the user. In addition, Emakia will coordinate with these organizations that will provide emotional and psychological assistance to the user. At the same time, the relevant social media platforms will also receive an email alerting them to remove the harassing content. Emakia’s board is all-women-led. Emakia's goal is to provide a system that filters out unwanted content at the receiving end for social media users. In addition, an automated report is generated when harassment is detected and supports are enabled where a user can elect to get professional intervention. Emakia aims to provide social media users with an application, Enaëlle, that filters out unwanted content free of charge. To accomplish this goal we plan to utilize the latest AI technologies (Core ML and Auto ML) and to collaborate with academic researchers with whom Emakia will share its data sets and code.

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