Proof of Usefulness Report

Snorkel AI

Analysis completed on 2/16/2026

+614
Proof of Usefulness Score
Category Standard

Snorkel AI is a verified 'unicorn' status company with high-value technology originating from Stanford AI Lab, addressing critical data labeling bottlenecks in enterprise AI. However, the submission itself (by 'SilentBlade') contains significant factual errors and hyperbole (e.g., claiming 'most people have used my product' and incorrect team/financial data). The score reflects the high intrinsic value of the Snorkel AI platform, heavily penalized by low confidence in the specific claims provided in this submission.

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+225.0
Audience Reach Impact+75.0
Technical Innovation+142.5
Evidence Of Traction+106.3
Market Timing Relevance+95.0
Functional Completeness+2.5
Subtotal+646.3
Usefulness Multiplierx0.95
Final Score+614

Project Details

Project URL
Description
Snorkel AI is building the data layer for specialized AI, enabling frontier labs, enterprises, and government agencies to develop AI tailored to their unique workloads. Born from pioneering research at the Stanford AI Lab, Snorkel combines cutting-edge programmatic data development technology with deep domain expertise to accelerate AI from prototype to production. Backed by Addition, Greylock, GV, In-Q-Tel, Lightspeed Venture Partners, and funds and accounts managed by BlackRock, Snorkel AI is headquartered in Redwood City, California. Learn more at snorkel.ai or follow @SnorkelAI.

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