Proof of Usefulness Report

Nanonets

Analysis completed on 1/26/2026

+716
Proof of Usefulness Score
Category Standard

Nanonets is a verified, high-growth Series B company backed by Y Combinator and Accel, with over $40M in funding and significant adoption among Fortune 500 companies. The project demonstrates exceptional real-world utility in document automation/IDP. However, the specific submission provided was extremely low-effort (e.g., claiming 'most people have used my product', audience 'everyone'), which necessitated a penalty on the Response Quality and Traction Quality factors despite the company's verifiable market success. The score reflects the strong underlying business fundamentals adjusted for the poor submission quality.

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Score Breakdown

Real World Utility237.5 (Weighted)
Audience Reach Impact144.0 (Weighted)
Technical Innovation135.0 (Weighted)
Evidence Of Traction190.0 (Weighted)
Market Timing Relevance95.0 (Weighted)
Functional Completeness2.5 (Weighted)
Subtotal+804
Usefulness Multiplierx0.89
Final Score+716

Project Details

Project URL
Description
We are building deep learning based product that allows companies to automate data extraction from any kind of document with a few samples and integrate it into their manual workflow.

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