Proof of Usefulness Report

ALiCE Biometrics

Analysis completed on 1/8/2026

+372
Proof of Usefulness Score
Certified Problem Solver

ALiCE Biometrics is a legitimate entity (spin-off from Gradiant) with a modern technical stack and a team of 27, addressing a high-utility problem in Identity Verification. However, the submission quality is extremely poor, using hyperbolic claims ('most people have used my product') instead of verifiable data. While the underlying technology and market relevance are strong, the score is heavily penalized by the lack of concrete traction evidence provided in the input.

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+212
Audience Reach Impact+30
Technical Innovation+112
Evidence Of Traction+25
Market Timing Relevance+80
Functional Completeness+5
Subtotal+465
Usefulness Multiplierx0.8
Final Score+372

Project Details

Description
ALiCE offers a frictionless user’s identity verification in a two-step process: user takes a selfie and captures his ID card, ALiCE does the rest.\n\nAlice Biometrics, as a spin-off from the R\u0026D Technology Center Gradiant, was born with the mission of developing the best-in-class onboarding identity verification solution that uses Deep-Learning based Face Recognition and Passive Liveness Detection technology. \n\nWe use a lot of exciting technology. This is our technology stack:\n- Python for our service back-end code.\n- React, Swift, Kotlin and Javascript (based on Vue.js framework) for front-end work.\n- RabbitMQ and ELK stack for events queue management, observability and visual representation. \n- Domain Driven Design as main principle to domain modeling and keep focus on the product.\n- Test Driven Development to encourage the Outside-In design and improve the quality of our code.\n- Github for repositories management.\n- Github Actions for Continuous Integration and Continuous Deployment.\n- Notion for project management and documentation.\n- Kubernetes, Docker and Helm to orchestrate our services.\n- Google AI Cloud and Kong for underlying infrastructure.\n\nKnow more about our culture and challenge, please visit our web: https://www.alicebiometrics.com/jobs\n
Audience Reach
everyone
Target Users
everyone
Technologies
Devops, Web Development, Cloud Computing
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