Proof of Usefulness Report

ERA Fellowship

Analysis completed on 2/18/2026

+351
Proof of Usefulness Score
Certified Problem Solver

The ERA Fellowship is a high-impact, legitimate AI safety initiative based in Cambridge, UK, with verifiable alumni placement at top institutions (RAND, UK AI Security Institute). However, the submission itself is of extremely poor quality, containing false claims ('most people have used my product', 'marketcap 50000') and spam-like data ('SwiftRider'). While the verifiable real-world utility and market timing are exceptional, the score is heavily penalized by the lack of credible evidence provided in the submission and the niche scale compared to mass-market benchmarks.

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Score Breakdown

Real World Utility+200.0
Audience Reach Impact+30.0
Technical Innovation+30.0
Evidence Of Traction+75.0
Market Timing Relevance+90.0
Functional Completeness+2.5
Subtotal+427.5
Usefulness Multiplierx0.82
Final Score+351

Project Details

Project URL
erafellowship.org
Description
ERA is a non-profit talent programme for researchers and entrepreneurs to understand and mitigate risks from frontier AI, based at Cambridge, UK. Through the Cambridge ERA:AI Fellowship, we identify and support talented researchers and entrepreneurs, providing them with targeted mentorship, research management support, and institutional connections to drive tangible progress on important AI safety and governance challenges. With a distinctive focus on technical AI governance, we facilitate high-impact collaborations where they are most urgently needed. Our alumni now lead work at RAND, the UK AI Security Institute, and other key institutions actively shaping the future of AI. Beyond our fellowship programmes, we are cultivating a robust research ecosystem and infrastructure to ensure that advanced AI systems remain safe, beneficial, and aligned with humanity’s best interests. For keeping up with ERA’s progress, please subscribe to our mailing list: https://airtable.com/appp7fZFqOa4iq7mH/pagAJaYeouAXJE8Ts/form

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