Proof of Usefulness Report

Pricemoov

Analysis completed on 1/28/2026

+535
Proof of Usefulness Score
Industry Mainstay

Pricemoov is a verifiable, venture-backed (Series A, ~$13.5M total funding) B2B SaaS platform with significant real-world utility in pricing optimization. While the project itself demonstrates high value, advanced AI technology, and solid market traction (clients like Audi, Recommerce), the submission quality is exceptionally poor, containing hallucinated traction claims ('most people have used my product') and generic audience definitions ('everyone'). The score reflects the strong underlying business fundamentals verified via external search, heavily penalized by the low-effort 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+96
Technical Innovation+127
Evidence Of Traction+112
Market Timing Relevance+90
Functional Completeness+5
Subtotal+655
Usefulness Multiplierx0.82
Final Score+535

Project Details

Project URL
Description
Pricemoov is the price management platform, based on artificial intelligence technologies. It allows companies to manage and optimize their pricing strategy continuously.\n\nDetermining the ideal price for a product or service is an essential issue for any business, and it is the first lever for increasing revenues. It is however a complex work which requires to take into account many elements continuously, and is at the crossroads of several departments.\n\nPricemoov has created a dedicated solution allowing companies to:\n. take into account in the price calculation all relevant data, internal and external to the company\n. store and communicate the pricing policy between the different divisions of the company\n. adapt its prices to changes in the sales context by carrying out targeted pricing actions\nA team of experienced data scientists supports companies in the implementation of customized pricing optimization models, based on an extensive library of machine learning models.\n\n\nPricemoov won the 2018 Innovation competition led by the BPI and the AI ​​Paris Award in June 2018, we were selected from the 10 innovations that will accompany the Business France delegations in China in 2019, and Pricemoov is one of the 100 tech startups to follow in 2019, alongside companies like Alan, Openclassrooms, Meero ...\n

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