Proof of Usefulness Report

Mystery on Main Street

Analysis completed on 4/15/2026

+37.4
Proof of Usefulness Score
You're In Business

Mystery on Main Street identifies a practical problem for local small businesses and attempts to solve it using an ambitious blend of gamification, AI, and AR. However, the project is strictly pre-MVP with zero active users, zero revenue, and no functional product in the market. While surveying 1,200 businesses shows commendable early validation efforts, the complete lack of tangible traction, audience reach, and proven technical execution restricts the score to the minimal traction tier.

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Score Breakdown

Real World Utility+17.5
Audience Reach Impact+0.0
Technical Innovation+6.0
Evidence Of Traction+2.5
Market Timing Relevance+5.0
Functional Completeness+3.0
Subtotal+34
Usefulness Multiplierx1.1
Final Score+37

Project Details

Project URL
mysteryonmainstreet.com/
Description
Through experiential commerce and phygital strategy, Mystery on Main Street is creating a big data marketing and advertising mobile application platform utilizing several technologies including AI (artificial intelligence), AR (augmented reality) and incentivized gamification to increase patronization of local B2C walk-in traffic “mom ‘n pops”. Think of this as Groupon meets scavenger hunt and Pokémon Go.
Audience Reach
We are pre-MVP so none at this time although we have face-to-face surveyed over 1200 target businesses.
Target Users
"Mom and pop" businesses gain because we are solving their vital daily concern of attracting foot traffic. Their employees gain because we help keep that business's doors open and maintain (and perhaps increase) employment. Users gain because they have an opportunity to receive discounts, coupons, and cash prizes by visiting businesses they have a real interest in. Local communities gain because we help revitalize communities and increase economic sustainability.
Technologies
Other, • React Native • TypeScript • JavaScript • UI/UX design tools (like Figma, Canva and AI) • SQL • Expo • Slack
Traction Evidence
As stated previously, we have interviewed over 1200 businesses with a positive reception rate of 90%. We are pre-launch.

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