Round 1 Winners!
Proof of Usefulness Report

A-Alpha Bio

Analysis completed on 3/23/2026

+16.58
Proof of Usefulness Score
You're In Business

The submission describes A-Alpha Bio, an innovative biotech company focused on synthetic biology and ML for drug discovery. However, the submitter provided demonstrably false and nonsensical claims in several fields (e.g., asserting the audience is 'everyone' and 'most people have used my product' for a highly specialized preclinical B2B platform, alongside an anomalous market cap). This indicates a strong likelihood of an inauthentic or spam submission attempting to hijack a legitimate company's profile. As a result, the quality factor is heavily penalized to 0.5 across all categories, and traction/reach metrics are scored at 0 for blatant misrepresentation.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+10.0
Audience Reach Impact+0.0
Technical Innovation+6.0
Evidence Of Traction+0.0
Market Timing Relevance+3.5
Functional Completeness+0.0
Subtotal+19.5
Usefulness Multiplierx0.85
Final Score+17

Project Details

Project URL
Description
A-Alpha Bio is a biotechnology company harnessing synthetic biology and machine learning to measure, predict, and engineer protein-protein interactions. Our experimental platform, AlphaSeq, enables the rapid and quantitative measurement of millions of protein-protein binding affinities simultaneously. Our computational platform, AlphaBind, is trained on the world’s largest protein-protein interaction database and predicts binding strength from sequence. A-Alpha Bio leverages AlphaSeq and AlphaBind for in-house therapeutic programs and in partnership with leading pharmaceutical companies to inform the discovery and development of novel therapeutics. A-Alpha Bio is based in Seattle and was founded in 2017 at the University of Washington's Institute for Protein Design and Center for Synthetic Biology. To learn more, please visit: https://www.aalphabio.com/

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