Proof of Usefulness Report

Deepnote

Analysis completed on 1/19/2026

+350
Proof of Usefulness Score
Certified Problem Solver

The project 'Deepnote' (submitted as 'ThunderShade') is a highly established, Series A funded collaborative data science platform with significant verifiable real-world utility and traction (funding from Index/Accel, users at Discord/Gusto). However, the specific submission provided contains extremely low-quality data (e.g., claiming 'most people have used my product', generic descriptions). The evaluation scores the high value of the actual platform based on external verification (Series A status, hundreds of thousands of users) but heavily penalizes the 'Response Quality' and 'Evidence of Traction' quality factors due to the hyperbolic and unsupported claims in the input form.

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+114
Audience Reach Impact+54
Technical Innovation+54
Evidence Of Traction+72
Market Timing Relevance+38
Functional Completeness+1
Subtotal+333
Usefulness Multiplierx1.05
Final Score+350

Project Details

Project URL
Description
Deepnote is a collaborative data science platform designed to enhance the productivity and efficiency of data teams. It provides an interactive environment where data scientists, analysts, and engineers can work together seamlessly on data projects. Deepnote integrates with popular data tools and services, allowing users to connect to databases, visualize data, and share insights effortlessly. The platform emphasizes real-time collaboration, making it easier for teams to communicate and iterate on their work. With its user-friendly interface and powerful features, Deepnote aims to streamline the data analysis process and foster a more collaborative approach to data science.
Audience Reach
everyone
Target Users
everyone
Technologies
Analytics, Productivity, Messaging Communications
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