Proof of Usefulness Report

FreezeCrowd Inc.

Analysis completed on 2/10/2026

+1
Proof of Usefulness Score
You're In Business

The project 'FreezeCrowd' appears to be a legacy concept (circa 2011) with negligible real-world utility in the modern social media landscape. The submission contains verifiable falsehoods, such as the claim that 'most people have used my product' and an 'everyone' audience reach, while external search results indicate a dormant platform often associated with unpaid internship schemes rather than a viable business. The core feature of 'tagging people in photos' is a standard utility in major networks, offering no innovation. With no verifiable revenue or active user base despite a 125-person team claim, this project exhibits significant red flags and lacks Proof of Usefulness.

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Score Breakdown

Real World Utility+0.63
Audience Reach Impact+0.00
Technical Innovation+0.38
Evidence Of Traction+0.00
Market Timing Relevance+0.00
Functional Completeness+0.25
Subtotal+1.26
Usefulness Multiplierx0.95
Final Score+1

Project Details

Project URL
Description
FreezeCrowd is an interactive social network for college students and alumni that was first envisioned when its Founder Eric Leebow was a college student looking at his college picture book. While viewing the photos, Eric saw that everyone in the pictures had something in common, yet the Internet sequel where students shared their lives together was yet to be realized. With such ideas as connecting the traditional paper yearbook to the Web through new inventive ways, a dream was born to connect people in group photos. The FreezeCrowd name is a play on words which comes from "Three's a Crowd," and was later changed to FreezeCrowd as a new way to "freeze" people's photographic memories connect people interactively in groups. The basic idea of connecting with people in groups is already done in real life, whereas friends, teams, and family members take photos of everyone in their crowd.

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