Proof of Usefulness Report

e6data

Analysis completed on 1/20/2026

+387
Proof of Usefulness Score
Certified Problem Solver

e6data is a legitimate Series A deep-tech startup having raised $10M (Accel, Sep 2024) with a team of ~95, building a high-performance distributed SQL engine. However, the submission itself is of very poor quality, containing false claims ('most people have used my product'), irrelevant tags ('construction'), and lacking verifiable data. While the underlying project has high real-world utility and market relevance (Data Lakehouse architecture), the score is heavily penalized by the careless submission and the disconnect between the claimed 'everyone' reach and the actual niche B2B enterprise audience.

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Score Breakdown

Real World Utility+135
Audience Reach Impact+30
Technical Innovation+102
Evidence Of Traction+87
Market Timing Relevance+95
Functional Completeness+2
Subtotal+452
Usefulness Multiplierx0.86
Final Score+387

Project Details

Project URL
Description
At e6data (www.e6data.com) we’re building the world’s fastest open architecture analytics query engine. We’re doing this by fundamentally rethinking how distributed SQL query engines are built, resulting in performance improvements of 35 - 200x over other analytics engines in the market. This results in billions of dollars of value unlocked across faster analytics, savings on compute infrastructure, and a wide array of new use cases.\n\nOur vision is for e6data to power every analytical workload in the world.\n\nOur core team has 100+ years of combined experience and 10+ patents across diverse yet complementary disciplines like real-time databases, time-series databases, SQL OLAP engines, distributed computing platforms, stream processing, and log analytics. Two of the founding team are second-time founders with past exits. We’re all super proud to be building a deep tech product with impacting a multi-billion dollar market from right here in India!
Audience Reach
everyone
Target Users
everyone
Technologies
Construction, Analytics, Energy Solutions
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