Proof of Usefulness Report

IAdvize

Analysis completed on 2/10/2026

+592
Proof of Usefulness Score
Industry Mainstay

iAdvize is a well-established (Series C, ~$55M funding) Conversational Commerce platform founded in 2010. While the submission quality was poor (vague claims like 'most people have used my product'), external verification confirms it is a market leader with significant B2B traction (clients include Samsung, Disney, Nespresso) and a unique 'ibbü' on-demand expert network. The discrepancy in team size (230 verified vs 750 claimed) likely includes the gig-economy expert pool. The project scores highly on utility and verified traction, despite the low-effort 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+112.0
Technical Innovation+78.8
Evidence Of Traction+135.0
Market Timing Relevance+90.0
Functional Completeness+2.5
Subtotal+643.3
Usefulness Multiplierx0.92
Final Score+592

Project Details

Project URL
Description
💬 iAdvize is a conversational commerce pioneer and the leader in trusted generative AI for e-commerce. We offer safe, compliant, and connected AI copilots to boost conversion rates 10x while automating at least 75% of the workload. Innovative brands like Cdiscount, Samsung, and Nespresso use iAdvize to simplify online shopping and generate $1B+ per year in online revenue. To grow e-commerce with generative AI, visit www.iadvize.com. 🏆 Established in 2010, iAdvize has 230 employees located across Boston, Paris, Düsseldorf, and Nantes (HQ). 🚀 Find out more about ibbü, your on-demand pool of experts: https://www.iadvize.com/en/ibbu/

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