Proof of Usefulness Report

Staple

Analysis completed on 1/30/2026

+68
Proof of Usefulness Score
You're In Business

The submission contains a critical identity error: it mixes the URL and description of 'Staple AI' (a Singapore-based document processing startup) with the financial and operational metrics of 'Staples Inc.' (the massive US office supply retailer, founded in 1986 with ~77k employees). While the AI project at staple.io is a legitimate seed-stage B2B entity, the submitted traction data (11B market cap, 77k team) is factually incorrect for this project. The score reflects the actual utility of the AI software but is heavily penalized for invalid traction claims and data incoherence.

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Score Breakdown

Real World Utility+20.0
Audience Reach Impact+3.0
Technical Innovation+11.25
Evidence Of Traction+5.0
Market Timing Relevance+8.5
Functional Completeness+0.5
Subtotal+48.25
Usefulness Multiplierx1.15
Final Score+55

Project Details

Project URL
Description
Staple develops technology that reads, interprets and extracts data from documents faster, more affordably and more accurately than any human can, at scale. \n\nWe service enterprises in the professional services, banking, logistics and healthcare industries, and our AI handles documents as diverse as invoices, medical claims, KYC forms and tax documentation.

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