Proof of Usefulness Report

SibaIoT

Analysis completed on 2/27/2026

+42
Proof of Usefulness Score
You're In Business

SibaIoT is a legitimate IoT air quality monitoring solution developed by Innosense Informatics, active since 2017. However, the submission is severely compromised by demonstrable exaggerations (claiming 'most people have used my product') and a lack of verifiable metrics. While the underlying technology addresses a real-world problem, the project appears to be a small-scale B2B/research initiative rather than a mass-market product, and the input data fails to substantiate its value proposition.

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+70
Real World Utility Quality+1
Audience Reach Impact+10
Audience Reach Impact Quality+0.5
Technical Innovation+45
Technical Innovation Quality+1
Evidence Of Traction+25
Evidence Of Traction Quality+0.5
Market Timing Relevance+50
Market Timing Relevance Quality+1
Functional Completeness+20
Response Quality Quality+1
Subtotal+34.375
Usefulness Multiplierx1.22
Final Score+42

Project Details

Project URL
Description
SibaIoT is a startup part of Innosense Informatics P.C., that develops and promotes to the market, reliable air quality sensing devices using the Internet of Things. It is incubated since 2017 in the InventICT incubator.

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