Round 1 Winners!
Proof of Usefulness Report

Altasparq

Analysis completed on 3/18/2026

-79.75
Proof of Usefulness Score
Lab Mode

Altasparq presents itself as an AI and digital services consultancy but displays severe red flags. The claim that 'most people have used my product' is highly improbable for a generic firm with no named product, and listing an 'all time marketcap: 2500000' as monthly revenue indicates fabricated or grossly exaggerated metrics. Furthermore, the submission lacks any evidence of custom technology, identifiable active users, or clear problem-solution fit, consisting mostly of generic buzzwords. These anomalies warrant a heavily penalized, negative score.

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Score Breakdown

Real World Utility+25.0
Audience Reach Impact+5.0
Technical Innovation+7.5
Evidence Of Traction-125.0
Market Timing Relevance+20.0
Functional Completeness-5.0
Subtotal-72.5
Usefulness Multiplierx1.1
Final Score-80

Project Details

Project URL
Description
Altasparq is a digital services company solving practical business problems. Leverage emerging technologies to transform your business model. Experienced in "real" AI and Machine Learning, we bring these technologies to you helping transform your business model. Engaging customers through AI-driven chatbot technologies accelerates our clients' business growth. Self-learning cybersecurity is how we help protect our clients valuable assets. Altasparq's approach is to collaboratively work with clients to “think differently, plan differently and act differently” to execute innovative holistic business models. We are focused on a long term relationship with our clients adding value with the future of their business at the top of our mind.

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