Round 1 Winners!
Proof of Usefulness Report

Slingshot AI

Analysis completed on 3/23/2026

-11.2
Proof of Usefulness Score
Lab Mode

While the mission of AI-assisted mental healthcare has high market relevance and theoretical utility, the project submission is riddled with severe red flags. Claims of a 125-person team at the seed stage, unverifiable and exaggerated traction ('most people have used my product'), a nonsensical revenue metric ('all time marketcap: 2500000'), and an unprofessional submission alias ('ThunderKeeper') completely undermine the project's credibility. Due to the lack of verifiable evidence and obvious spam-like responses, the project receives extreme penalties in traction and response quality, resulting in a sub-zero score as per calibration guidelines for submissions with red flags.

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Score Breakdown

Real World Utility+20
Audience Reach Impact-20
Technical Innovation+30
Evidence Of Traction-60
Market Timing Relevance+40
Functional Completeness-20
Subtotal-10
Usefulness Multiplierx1.12
Final Score-11

Project Details

Project URL
Description
About Us We're a team of machine learning and product engineers training task-specific generative models for psychology. Our mission is to use AI to make mental healthcare more accessible and to help people change their lives in the ways they want. We partner with organizations around the globe and power use cases, including AI-assisted crisis text response and AI counseling, while securing best-in-class datasets to power our models. Success to us means every human being in need of support having somewhere to go. We're a well-funded, seed-stage startup backed by top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and others. We're building a powerful team by empowering our engineers with the autonomy, flexibility, and resources to do their best work. We dream big and iterate fast. If that sounds like home, we'd love to hear from you.

Algorithm Insights

Market Position
Early stage requiring focused development
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