Round 1 Winners!
Proof of Usefulness Report

Ekstra OS

Analysis completed on 3/12/2026

+63
Proof of Usefulness Score
You're In Business

Ekstra OS demonstrates strong technical innovation and addresses a real-world fragmentation problem in physical computing by offering a normalized developer layer for motion signals. However, as an early-stage project with approximately 3,000 monthly visitors and no reported active users or revenue, it exhibits minimal evidence of market traction. Its score reflects high technical potential but limited current reach and impact when calibrated against established benchmarks.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+17.5
Audience Reach Impact+3.0
Technical Innovation+18.0
Evidence Of Traction+5.0
Market Timing Relevance+7.5
Functional Completeness+4.0
Subtotal+55
Usefulness Multiplierx1.15
Final Score+63

Project Details

Description
Ekstra OS is a live motion runtime that normalizes signals from phones, robots, and cameras into one developer layer. Build once and route motion to any browser, kiosk, or machine. It replaces fragmented sensing stacks with a canonical contract, making the physical world programmable today.
Audience Reach
Ekstra OS reaches developers and enterprises globally through its public website (ekstra.ai). The site features live interactive demos, including the phone-controlled 3D cube and presentation remote, that users can experience immediately without downloads. As an open runtime with public documentation and packages, it's accessible to the entire developer ecosystem. Currently average ~3000 visitors per month.
Target Users
Ekstra OS is built for developers building motion-aware applications and enterprises deploying across physical surfaces. Primary audiences include: developers in logistics/warehousing needing to normalize operator and robot motion; retail teams creating in-location experiences; smart home/city integrators; and robotics companies. The project is open for engagement with partners across these sectors (see ekstra.ai/partners).
Technologies
Other, Custom motion normalization runtime; WebSockets for real-time streaming; browser-first ingest (no native app required); public npm package (@ekstraai/controls-web); self-hosted runtime image on GHCR; same-domain pairing architecture; canonical motion samples processing; multi-receiver routing system
Traction Evidence
Live, interactive runtime at ekstra.ai (phone-controlled 3D demo proves real-time motion processing); Public developer portal with docs, starters, and npm package; Production-grade runtime image available on GitHub Container Registry; Same-domain phone pairing works immediately in browser; Real-world use cases documented for DOOH/kiosks, logistics, retail, robotics, smart homes, and cities

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