Proof of Usefulness Report

facil.ai

Analysis completed on 2/26/2026

+62
Proof of Usefulness Score
You're In Business

Facil.ai is a legitimate B2B startup offering AI-driven energy optimization for building management systems (BMS), with verifiable founders and pilot programs (e.g., Cal State, Five Below). However, the submission itself contained significant inaccuracies, such as claiming the audience is 'everyone' and traction is 'most people', which contradicts its specialized B2B nature. The 'marketcap: 500000' figure is ambiguous and likely refers to early valuation or lifetime revenue rather than a standard metric. Despite the low-quality submission, external search confirms strong technical potential and early market relevance.

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+21.25
Audience Reach Impact+5.00
Technical Innovation+12.00
Evidence Of Traction+6.25
Market Timing Relevance+8.50
Functional Completeness+0.50
Subtotal+53.5
Usefulness Multiplierx1.15
Final Score+62

Project Details

Project URL
facil.ai
Description
Facil.ai is the industry-leading AI solution designed to supercharge existing systems by optimizing efficiency and comfort. Facil AI-agents integrate directly into the current BMS and act as a virtual FM, babysitting the system 24/7. Facil.ai is a no risk solution for energy optimization---no new hardware, no upfront costs, no training, no cyber risk. Just results. The founders have decades of Building Automation, Energy/Utility, Software Engineering , AI, and IoT experience. Most importantly, our customers love us.

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