Round 1 Winners!
Proof of Usefulness Report

Roasy AI

Analysis completed on 3/19/2026

+33
Proof of Usefulness Score
You're In Business

The project description outlines a viable B2B AI ad optimization tool for mobile app marketers, addressing a genuine market need. However, the submission contains highly questionable and contradictory data in critical fields. Claims such as 'everyone' for audience reach, 'most people have used my product' for traction, and 'all time marketcap: 2500000' for monthly revenue are demonstrably false for a newly launched B2B SaaS platform. These red flags severely diminish the project's credibility, resulting in a low overall score.

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+17.5
Audience Reach Impact+1.0
Technical Innovation+9.0
Evidence Of Traction+0.6
Market Timing Relevance+6.0
Functional Completeness+0.7
Subtotal+34.8
Usefulness Multiplierx0.95
Final Score+33

Project Details

Project URL
Description
Roasy AI is an AI-powered ad automation and optimization platform built specifically for mobile app marketers. It seamlessly integrates with Meta and Google Ads APIs to automate campaign management, optimize bids, and generate real-time insights to improve advertising performance. Roasy’s key strength lies in its deep focus on mobile user acquisition, especially for apps in categories like gaming, subscription, e-commerce, and lead generation. While most platforms offer generic automation tools, Roasy is built around the specific challenges of acquiring and retaining mobile users at scale. With Roasy, users can: • Connect their ad accounts and instantly audit them to identify key optimization opportunities, • Automatically manage budget allocations, bidding strategies, and creatives across channels, • Access a customizable dashboard with performance metrics and AI-generated recommendations, • Benefit from continuous learning machine learning algorithms that evolve with each campaign. Unlike traditional ad tools, Roasy includes a cross-channel optimization engine, enabling users to align Meta and Google campaigns toward a unified acquisition goal. Its proprietary AI engine analyzes campaign performance in real time, adjusting variables dynamically to maximize ROAS. Roasy follows a SaaS-based revenue model with tiered subscription pricing based on ad spend volume. It also offers advanced features such as predictive performance modeling, cohort-based optimization, and modular API access for enterprise clients. Globally, the mobile advertising market exceeds $400 billion, with rapid growth projected in emerging markets. Despite the abundance of tools like Madgicx, RevealBot, and Sprinklr, few platforms deliver vertical-specific, mobile-centric automation at Roasy’s level of depth and agility. With a founding team experienced in managing over $150M in mobile ad spend, Roasy is on a mission to make high-performance app marketing smarter and faster.

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