Proof of Usefulness Report

Viralspace.ai

Analysis completed on 2/1/2026

+711
Proof of Usefulness Score
Category Standard

Viralspace.ai is a verified, high-value AI project acquired by Smartly.io in 2021. The acquisition validates its strong real-world utility and technical innovation in the digital advertising space. While the submission included low-effort or inaccurate claims in specific fields (e.g., claiming 'everyone' as the audience and 'most people' for traction), the project's proven exit and integration into a global ad-tech unicorn drive a high score.

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Score Breakdown

Real World Utility+225.0
Audience Reach Impact+80.0
Technical Innovation+135.0
Evidence Of Traction+237.5
Market Timing Relevance+90.0
Functional Completeness+5.0
Subtotal+772.5
Usefulness Multiplierx0.92
Final Score+711

Project Details

Project URL
Description
The #1 factor that drives performance for digital ads is the creative, yet the creative decision-making process today is based on little more than guesswork. At Viralspace, we're changing that by using AI to help marketers make data-driven decisions about their ad creative. We use computer vision to tag millions of features across a brand's past ads, then present insights in a variety of AI-based software tools. Marketing teams at companies like TechStyle, Philips, and Ogilvy are our customers.\n\nWe're a Bay Area-based startup that came out of Stanford and operated independently since 2019. We recently joined forces with Smartly.io, the leading social advertising tool, to lead their creative optimization efforts. Viralspace will remain a fully independent business line backed by all of the incredible resources, talents, and customers of Smartly.

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