Kyram Earns a 37 Proof of Usefulness Score by Building a Social App That Unites People Through Sport

Written by hacker-i6mfch6 | Published 2026/03/08
Tech Story Tags: proof-of-usefulness-hackathon | neo4j | graph-database | kyram | fitness-social-network | workout-partner-app | sports-community-platform | fitness-networking-app

TLDRKyram is a social app designed to connect people through sport rather than traditional dating dynamics. By matching users based on shared fitness interests, skill levels, and goals, the platform helps athletes find training partners, create sport events, and build local fitness communities. Built with technologies like Neo4j, Storyblok, and machine learning systems, Kyram aims to foster real-world connections through physical activity while supporting inclusive participation, including Paralympic sports. The startup is currently growing through waitlists, early premium conversions, and community-driven network effects.via the TL;DR App

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Today, we are interviewing Giacomo Goria about Kyram. Kyram is a social app designed to bridge the gap between dating and fitness by connecting users based on shared sports interests and goals.

What does Kyram do? And why is now the time for it to exist?

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). Now’s a good time for Kyram to exist because the intersection of digital connection and physical well-being has never been more vital for fostering genuine community.

What is your traction to date? How many people does Kyram 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.

Who does your Kyram serve? What’s exciting about your users and customers?

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.

What technologies were used in the making of Kyram? And why did you choose ones most essential to your techstack?

Kyram utilizes a modern stack to manage complex social connections and content. By leveraging Neo4j, the platform can efficiently handle the graph-based relationships inherent in matching users and events, while Storyblok ensures a flexible content management system. Bright Data likely assists in data aggregation to enhance user matching capabilities.

What is traction to date for Kyram? Around the web, who’s been noticing?

Early market signals for Kyram focus on a growing waitlist and conversion rates to their 3-month Premium offering. The team is tracking key proof points such as repeated weekly activity (matches turning into sessions) and user-created events to demonstrate sustained habit-building rather than just initial interest.


Kyram scored a 37 proof of usefulness score (https://proofofusefulness.com/reports/kyram)

What excites you about this Kyram's potential usefulness?

What excites me most is that Kyram can turn sport into a simple, repeatable way to build real human connection. By matching people on shared goals, level, and interests—rather than dating dynamics—it can reduce loneliness, increase consistency in training, and make wellness more accessible. The event layer is especially powerful: it doesn’t just create “matches,” it creates communities that can scale city by city and stay inclusive across all sports, including Paralympic disciplines.


Meet our sponsors

Bright Data: Bright Data is the leading web data infrastructure company, empowering over 20,000 organizations with ethical, scalable access to real-time public web information. From startups to industry leaders, we deliver the datasets that fuel AI innovation and real-world impact. Ready to unlock the web? Learn more at brightdata.com.

Neo4j: GraphRAG combines retrieval-augmented generation with graph-native context, allowing LLMs to reason over structured relationships instead of just documents. With Neo4j, you can build GraphRAG pipelines that connect your data and surface clearer insights. Learn more.

Storyblok: Storyblok is a headless CMS built for developers who want clean architecture and full control. Structure your content once, connect it anywhere, and keep your front end truly independent. API-first. AI-ready. Framework-agnostic. Future-proof. Start for free.

Algolia: Algolia provides a managed retrieval layer that lets developers quickly build web search and intelligent AI agents. Learn more.


Published by HackerNoon on 2026/03/08