Proof of Usefulness Report

smallest.ai

Analysis completed on 1/24/2026

+726
Proof of Usefulness Score
Category Standard

Smallest.ai is a legitimate, venture-backed (Seed ~$8M, Sierra Ventures) Deep Tech startup building 'Lightning V2', a proprietary low-latency (100ms) TTS model. Verified clients include major enterprises like MakeMyTrip and Paytm. While the submission contained data errors (e.g., 'marketcap: 500000', 'most people have used my product'), the underlying technology and market traction are substantial. The project scores highly on innovation and utility, with a deduction for the poor quality of the form submission.

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 Utility0.25)
Audience Reach Impact0.20)
Technical Innovation0.15)
Evidence Of Traction0.25)
Market Timing Relevance0.10)
Functional Completeness0.05)
Subtotal+90.8
Usefulness Multiplierx0.80 (Penalized for messy input data)
Final Score+726

Project Details

Project URL
smallest.ai
Description
Smallest.ai is a full-stack Voice AI platform purpose-built for enterprise deployment. From sales and support to collections and onboarding, our voice agents automate high-volume, high-stakes customer interactions with human-like clarity and ultra-low latency. What sets us apart? We train our own models (like Lightning V2, the world’s fastest multilingual TTS) and control the full application layer—ensuring real-time performance, domain-specific accuracy, and on-premise compliance for regulated industries like BFSI, healthcare, and real estate. Whether you need to handle 10M+ monthly calls or reduce your cost per interaction by 80%, Smallest delivers voice agents that learn, adapt, and scale with your operations. → Built for scale → Deployed in 16+ languages → Trusted by top banks, insurers, and platforms across the US, India, and MENA Learn more at smallest.ai

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