Proof of Usefulness Report

AtScale

Analysis completed on 1/14/2026

+591
Proof of Usefulness Score
Industry Mainstay

AtScale is a verified industry leader in the Data/BI semantic layer space with significant funding (~$130M) and enterprise adoption (JPMC, Wells Fargo). However, the submission quality is extremely poor, containing lazy and hyperbolic claims (e.g., audience reach 'everyone', traction 'most people have used my product'). The score reflects the project's high real-world value and established market position, significantly penalized by the lack of specific evidence and professionalism in the submission data.

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+225
Audience Reach Impact+80
Technical Innovation+127
Evidence Of Traction+112
Market Timing Relevance+95
Functional Completeness+2
Subtotal+642
Usefulness Multiplierx0.92
Final Score+591

Project Details

Project URL
Description
AtScale is built for today’s data platforms and BI tools. Connect to any data platform, whether on-premises or cloud. Provide access to virtually any BI tool or custom application. Deliver “speed of thought” performance with AtScale’s tabular (SQL) and multidimensional (OLAP) interfaces.\n\nAtScale is the industry leader in data federation and cloud transformation, enabling enterprises to modernize application architectures and accelerate business intelligence, A.I. and Machine Learning initiatives. By eliminating data location constraints, AtScale accelerates enterprise multi-platform and multi-cloud adoption with greater agility, performance and security -- all without disrupting the business. Led by industry veterans from Yahoo!, Google, Microsoft, Salesforce, Cisco and Oracle, AtScale is delivering enterprise transformation globally for firms including JPMorgan Chase, Wells Fargo, GlaxoSmithKline and many more. For additional information, visit www.atscale.com/cloud\n
Audience Reach
everyone
Target Users
everyone
Technologies
Business Intelligence, Machine Learning, Cloud Computing
Traction Evidence
most people have used my product

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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