Proof of Usefulness Report

Swish Analytics

Analysis completed on 1/31/2026

+435
Proof of Usefulness Score
Certified Problem Solver

Swish Analytics is a verified Series C sports technology company (founded 2014) with an estimated $10M-$25M in revenue and ~140 employees. The company provides critical B2B infrastructure (odds origination, risk management) for major operators like Sky Bet and GMG. Although the project submission was extremely low-effort (vague claims of 'everyone' as audience), external verification confirms high real-world utility, proprietary machine learning technology, and significant market traction in the booming US sports betting sector.

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Score Breakdown

Real World Utility+112.5
Audience Reach Impact+51.0
Technical Innovation+67.5
Evidence Of Traction+95.0
Market Timing Relevance+47.5
Functional Completeness+2.5
Subtotal+376
Usefulness Multiplierx1.16
Final Score+435

Project Details

Project URL
swishanalytics.com
Description
Swish Analytics is the best platform for powering U.S. sports betting products. We deliver odds origination, risk management \u0026 trading software for the core U.S. sports. Swish specializes in full bet-lifecycle management for increasingly popular U.S. markets like expansive pre-match and in-play Player Propositions, Bet Request, and Pre-Built Parlays.

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