Proof of Usefulness Report

Awari

Analysis completed on 1/14/2026

+273
Proof of Usefulness Score
Gaining Momentum

Awari is a legitimate, venture-backed (Y Combinator) EdTech platform in Brazil with significant verifiable traction (>20,000 learners), positioning it as a strong player in the regional market. However, the submission itself provided extremely poor quality data (claiming 'everyone' as audience and 'null' revenue), which significantly penalized the Response Quality and Evidence of Traction metrics. The score reflects the solid underlying business reality, verified externally, rather than the unsupported claims in the input.

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+90
Audience Reach Impact+38
Technical Innovation+36
Evidence Of Traction+68
Market Timing Relevance+32
Functional Completeness+1
Subtotal+265
Usefulness Multiplierx1.03
Final Score+273

Project Details

Project URL
Description
Awari is a Brazilian company that specializes in providing online education and professional development courses, primarily focused on the technology sector. Through its platform, Awari offers a range of programs designed to equip individuals with the skills needed to succeed in the digital economy. These programs often include areas such as data science, UX/UI design, software development, and digital marketing. Awari emphasizes a hands-on learning approach, often incorporating real-world projects and mentorship from industry professionals to ensure that students gain practical experience and insights. The company aims to bridge the gap between traditional education and the rapidly evolving demands of the tech industry, helping learners to advance their careers and meet the needs of modern employers.
Audience Reach
everyone
Target Users
everyone
Technologies
Design, Software Development, Analytics
Traction Evidence
most people have used my product

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