Round 1 Winners!
Proof of Usefulness Report

ChipBrain

Analysis completed on 3/22/2026

+40.04
Proof of Usefulness Score
You're In Business

ChipBrain addresses a valid use case in the competitive sales enablement market with Emotion AI. However, the submission is critically undermined by unprofessional and unverifiable claims regarding audience reach ('everyone') and traction ('most people have used my product'). A lack of concrete active user metrics and a confusing revenue/market cap claim result in heavy penalties for unsupported evidence.

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Score Breakdown

Real World Utility+18.75
Audience Reach Impact+0.00
Technical Innovation+9.75
Evidence Of Traction+0.00
Market Timing Relevance+7.00
Functional Completeness+0.25
Subtotal+35.75
Usefulness Multiplierx1.12
Final Score+40

Project Details

Project URL
Description
ChipBrain is an easy-to-use call analyzer that integrates with Zoom, Hubspot, RingCentral, and more. Our product uses emotionally intelligent AI to find good and bad customer interactions in your sales and customer service calls. We do this by analyzing how the customer responds to what your rep says. Use ChipBrain in 1:1 meetings with reps to quickly surface their best and worst moments of the week. Use ChipBrain to find out: - What the most effective pitches and responses are from your best reps - What questions, complaints, and objections from customers your reps have trouble handling - Who your best reps are, and which reps have the most trouble in their calls ChipBrain was founded in 2020 by Harvard/MIT graduates specialized in AI and machine learning. We spent the past 2 years building and refining our proprietary machine learning models that detect emotion specifically in customer conversations. Are you wasting time sifting through hours of call data and transcripts trying to find the relevant stuff? Let ChipBrain surface it for you automatically. Already using Gong or Chorus? Perfect - send us a few sample call recordings and see how ChipBrain can level up your game by surfacing only the interactions that matter in a call.

Algorithm Insights

Market Position
Growing utility with room for optimization
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