Proof of Usefulness Report

Kyram

Analysis completed on 2/10/2026

+37
Proof of Usefulness Score
You're In Business

Kyram presents a functional mobile application addressing a genuine need for sports-based social connection. However, the project suffers from a significant disconnect between its 'live' status (available on App Stores since 2023) and the lack of verifiable user traction (insufficient reviews to display ratings). The submission relies on vague claims of a 'growing waitlist' and 'strong conversion' (likely to a free trial) without providing specific active user counts or revenue figures, despite the app being publicly available. While the technical stack (Neo4j) and team composition are professional, the absence of market validation data results in a low score.

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Score Breakdown

Real World Utility+17.5
Audience Reach Impact+4.0
Technical Innovation+8.25
Evidence Of Traction+1.25
Market Timing Relevance+5.0
Functional Completeness+2.0
Subtotal+38
Usefulness Multiplierx0.97
Final Score+37

Project Details

Project URL
Description
Kyram is a social app that unites people through sport. It bridges dating and fitness by matching users beyond gender or preferences, based on shared sports interests, fitness level, and goals. Using machine learning, it helps you find training partners and create sport events—online or in real life. Sport can bring people together, positively and inclusively (Paralympic sports too)
Audience Reach
Kyram targets active people who want real training connections: cyclists, runners, gym-goers, outdoor/sport communities, and inclusive Paralympic athletes. Reach scales through network effects (matches + events), with acquisition via social/performance marketing, influencer athletes, local clubs/gyms, and event partnerships—expanding city-by-city and sport-by-sport.
Target Users
Kyram creates the most value for people who want sport-first connections: newcomers to a city, busy professionals, beginners seeking motivation, and goal-driven athletes who need the right training partner at the right level. By matching users on sport interests, fitness level, and goals—not gender or dating preferences—it makes training more consistent, safer, and more social, online or in real life, with an inclusive approach (including Paralympic sports). Regarding notable customers: I don’t have any verified brand/customer names from the info shared. The strongest-fit customer types are gyms and clubs, coaches, race/event organizers, and corporate wellness programs.
Technologies
Bright Data, Storyblok, Neo4j
Traction Evidence
At this stage, traction is best evidenced through clear early-market signals: a growing waitlist (email sign-ups), strong conversion to the 3-month Premium offer, and consistent engagement once users start matching and training. The key proof points are repeated weekly activity (matches leading to real sessions), an increasing number of user-created sport events, and solid retention after the first month—showing it’s not just interest, but sustained habit-building. Traction can also be reinforced through partnerships that actively drive users (gyms/clubs, coaches, event organizers) and measurable acquisition efficiency (cost per sign-up, referral rate, and organic growth from network effects).

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