Proof of Usefulness Report

Schmooze

Analysis completed on 1/29/2026

+285
Proof of Usefulness Score
Gaining Momentum

Schmooze is a legitimate, venture-backed dating app (raised ~$3.3M from Lightspeed and Graph Ventures) targeting Gen Z with a meme-based matching algorithm. While the project has significant verifiable traction (media coverage, funding, team of 46), the submission itself suffers from hyperbolic and unprofessional responses (e.g., claiming 'everyone' as the audience and 'most people' have used it). The score reflects the strong underlying business fundamentals and verified funding, heavily penalized by the poor quality of the submission data and the early-stage nature compared to established profitability.

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Score Breakdown

Real World Utility+75.0
Audience Reach Impact+32.0
Technical Innovation+39.0
Evidence Of Traction+96.0
Market Timing Relevance+34.0
Functional Completeness+3.0
Subtotal+279
Usefulness Multiplierx1.02
Final Score+285

Project Details

Project URL
schmoozedating.com
Description
Schmooze (stalk us @ schmoozedating.com) is a Dating App that matches people based on their taste of Memes and is poised to be THE dating App for GenZs!\n\nOne solution to 2 problems. You're bored? Schmooze. You're Lonely? Schmooze. Hotel? Trivago.\nWe have some nice things said about us by TechCrunch, Product Hunt, Hype Beast, and various other media outlets and podcasts.\n\nWe combine machine learning and memes to connect people based on a humour algorithm which removes looks/objectification as the criterion for matching and makes the process more personality-based. We do this by using tagging and machine learning, combined with the bios that users create for themselves.\n\nAlong with our collaboration with Ivy-league universities such as Harvard, Stanford, etc., we have secured seed funding to the tune of $3.3 Million from Lightspeed Venture Partners (Investors in Snapchat, ShareChat, etc.) and Graph Ventures (investors of HouseParty, Hinge).

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