Proof of Usefulness Report

WasteAnt

Analysis completed on 2/1/2026

+85
Proof of Usefulness Score
You're In Business

WasteAnt is a legitimate Seed-stage startup (spin-off from DFKI/Constructor University) based in Bremen, utilizing AI and computer vision to analyze waste streams in incineration plants. External verification confirms pilots with SWB and receipt of the 'Gründerpreis Bremen 2024'. However, the submission quality was extremely poor, containing false claims ('audience reach: everyone', 'most people have used my product') which heavily penalized the score. The project demonstrates high real-world utility and technical innovation in the B2B sector, but fits the 'Minimal traction' (<50k users) calibration bucket due to its early industrial stage.

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Score Breakdown

Real World Utility+28.13
Audience Reach Impact+8.00
Technical Innovation+15.30
Evidence Of Traction+11.25
Market Timing Relevance+9.00
Functional Completeness+0.50
Subtotal+72.18
Usefulness Multiplierx1.18
Final Score+85

Project Details

Project URL
Description
With our AI-based waste quality assessment and management software, we bring transparency to unstructured waste streams to support optimal recycling, increase operational efficiency in waste management and prevent hazardous substances from entering the environment. With our software, we can already contribute to the circular economy. Our system is in use in waste incineration plants and optimizes process efficiency.

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