Proof of Usefulness Report

PredictHQ

Analysis completed on 1/28/2026

+605
Proof of Usefulness Score
Category Standard

PredictHQ is a legitimate, high-growth Series B data intelligence company with significant verified traction (clients like Uber, Domino's, Booking.com). While the submission itself was low-effort (vague claims like 'most people have used my product'), the underlying technology and market position are exceptionally strong. The score reflects high utility and enterprise reach, heavily penalized by the poor response quality and lack of specific evidence in the submission fields.

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 Utility2.5)
Audience Reach Impact2.0)
Technical Innovation1.5)
Evidence Of Traction2.5)
Market Timing Relevance1.0)
Functional Completeness0.5)
Subtotal+731
Usefulness Multiplierx0.83
Final Score+605

Project Details

Project URL
predicthq.com
Description
Smarter demand forecasting models at scale start here. Discover what causes your anomalies with PredictHQ's API. Our systems aggregate and verify millions of demand causal factors and ranks them by predicted impact so your team makes better decisions faster. Our demand intelligence is used by some of the smartest companies all over the world including Uber, Booking.com, Alexa, Accenture, Domino’s and many more to build more accurate forecasts, intelligent products and operational strategies.\nCustomers are using our API for:\n- Demand forecasting model improvement\n- Dynamic pricing optimization\n- Workforce optimization\n- Inventory management improvements\n- Predictive analyitcs\n- Data centralization strategies

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