Round 1 Winners!
Proof of Usefulness Report

Saolasoft Inc.

Analysis completed on 3/17/2026

+85.98
Proof of Usefulness Score
You're In Business

Saolasoft highlights R&D in AI and claims 50,000 users for an educational app in 2017. However, the submission is heavily penalized due to severely exaggerated responses ('most people have used my product', target audience is 'everyone'), contradictory dates (founded 2015 vs launch 2022), and a lack of verifiable current traction. This places the project well below the baseline score.

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Score Breakdown

Real World Utility+18.75
Audience Reach Impact+10.0
Technical Innovation+45.0
Evidence Of Traction+6.25
Market Timing Relevance+10.0
Functional Completeness+0.5
Subtotal+90.5
Usefulness Multiplierx0.95
Final Score+86

Project Details

Project URL
Description
Saolasoft, Inc. was founded in Denver, Colorado by Dr. David Dong Nguyen in 2015. Our mission is to address the problems of mobile software and data analytics for wide ranges of applications including for education, finance, and public health. In early 2016, we successfully launched an education mobile app called English With Friends with advanced capabilities such as learners can learn English with their friends via games, and at the same time, to contribute the learning content. The content then will be selected by a collaborative filtering system. The app has achieved considerable success with more than 50,000 registered users in early 2017. Our R&D also spans to data analytics for solving emerging problems in finance and public health. Particularly, we have conducted data mining from social media such as Twitter and Facebook to capture the epidemic of a public health outbreak. The research results in several articles published in conferences such as AAAI Conference on Artificial Intelligence and The ACM CHI Conference on Human Factors in Computing Systems recently. Leveraging the advance in machine learning, we are designing a system for detecting the “pump and dump” in financial markets. Our ultimate R&D goals are to use user-generated content from various platforms and to employ the latest development from data analytics, machine learning, AI, and big data to benefit the society as a whole.

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