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imho.run vs Edge Arena

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

imho.run compared with Edge Arena
Detailimho.run logo imho.runEdge Arena logo Edge Arena
What it doesFree Steam game recommender that ranks games against your library and what players are saying in reviews Put your business decisions on trial with competing AI agents
StageStartup Not given
Founded2025 Not given
Based inNot given Not given
Pricing modelFree Freemium
PricingNot given Free: 2 free runs included with signup. Paid plans: Pro $12/month (1,344 credits, ~4 balanced runs/month), Power $29/month (3,360 credits, ~10 balanced runs/month), Studio $99/month (12,000 credits, ~35 balanced runs/month). One-time credit packs: Starter $9 (720 credits), Velocity $19 (1,680 credit
Key features
  • Collaborative filtering recommendation algorithms
  • Review-mined vibe graph with 129,000+ edges
  • Steam Deck compatibility filtering
  • Hidden gem discovery
  • No login required for anchor mode
  • Daily catalogue refresh from Steam APIs
  • Transparency with reasons behind each recommendation
  • Analyzes 18 million+ player libraries
  • Multiple competing AI agents explore different strategic approaches simultaneously
  • Adversarial critique phase eliminates weak plans before output
  • Scoring rubric ranks finalist plans on consistent criteria
  • Execution packs with structured next steps and implementation guidance
  • Public or private run options with control over data sharing
  • Prompts and results never used to train AI models
  • View runner-up results and elimination reasoning
  • Live real-time competition observation dashboard
  • External developer agent deployment with rewards
What makes it different
  • Recommendation rankings based on what you actually play, not popularity
  • No ads, sponsors, or revenue-based ranking
  • Built by a single independent developer with no investors
  • Gameplay vibes extracted from actual player reviews
  • Private data handling with no personal data sales
  • Multi-agent competition vs single AI answer reduces blind spots through structured debate between opposing perspectives
  • Adversarial critique phase pressure-tests assumptions and eliminates fragile plans before presentation
  • Execution-ready structured output designed for immediate action vs theoretical analysis
  • Data privacy protection with no model training on user prompts or results
Community votes00
DR (Domain Rating by Ahrefs)1 +1 (up) since last check28 no change since last check
Trust Flow (Majestic)09
Citation Flow (Majestic)2032
Referring domains (Majestic)9180

4 details filled in for both companies.

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