Proof of Usefulness Report

DiligentIQ

Analysis completed on 3/24/2026

+63

Proof of Usefulness Score

You're In Business

The submission utilizes a legitimate business description for ToltIQ/DiligentIQ but includes fabricated or nonsensical user inputs (e.g., audience 'everyone', traction 'most people have used my product', technology 'Internet'). This lack of verifiable, serious data results in poor quality multipliers and a low score, reflecting an unserious submission despite the viable underlying AI concept.

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+37.5

Audience Reach Impact+0

Technical Innovation+7.5

Evidence Of Traction+0

Market Timing Relevance+25

Functional Completeness+0

Subtotal+70

Usefulness Multiplierx0.9

Final Score+63

Project Details

Project URL

toltiq.com

Description

ToltIQ is a generative AI platform transforming private equity due diligence by enhancing analysis and uncovering hidden opportunities and risks. Led by founder Ed Brandman, the DiligentIQ team combines technical expertise with extensive private equity experience to address the unique challenges of PE due diligence. We embed and vectorize your VDR content and proprietary datasets in a secure and private environment. Then, we leverage machine learning and generative AI through large language models (LLMs) from OpenAI and Anthropic to intelligently analyze, categorize, and extract insights from complex deal documents through engineered and dynamic prompts. ToltIQ turns the standard, labor-intensive due diligence process into a dynamic, AI-powered experience that accelerates the activities of investment professionals in the private markets industry. To learn more or request a demo, please visit www.toltiq.com.

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