Proof of Usefulness Report

Abacus.AI

Analysis completed on 2/7/2026

+699
Proof of Usefulness Score
Category Standard

Abacus.AI is a high-profile Series C funded company with verified technological depth, including published research at top-tier conferences (NeurIPS, ICML). While the submission itself contained hyperbolic claims ('most people have used my product') and confusing financial metrics ('all time marketcap: 75000000'), external verification confirms significant scale, with ~$90M in funding and a team of ~350. The project offers substantial real-world utility through its ChatLLM and Enterprise AI platform. The score reflects the high quality of the underlying technology and market relevance, penalized significantly for the low effort and inaccuracy of the submission text regarding traction evidence.

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Score Breakdown

Real World Utility+22.00
Audience Reach Impact+14.00
Technical Innovation+16.56
Evidence Of Traction+10.00
Market Timing Relevance+9.50
Functional Completeness+0.75
Subtotal+72.81
Usefulness Multiplierx0.96
Final Score+699

Project Details

Project URL
abacus.ai
Description
Abacus.AI is the world’s first AI super assistant and general-purpose agent, DeepAgent. We have brought together top AI models and world-class infrastructure to automate work! For Individuals and Small Teams: ChatLLM is your all-in-one AI super assistant for chat, code, voice, images, and video! Access to DeepAgent and top AI models. For Enterprises: Abacus Enterprise offers an enterprise-class AI super assistant for all your employees, as well as the world's first Gen AI platform, where AI, not humans, builds Applied AI systems and workflows. Abacus.AI boasts 100K+ customers, including several Fortune 500 companies Abacus.AI also conducts foundational research in key areas of applied AI, and our world-class research lab routinely publishes at Top-Tier conferences, including NeurIPS, ICML, and ICLR.

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