imho.run vs MiroFish
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 MiroFish
| Detail | 
imho.run | M
MiroFish |
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| What it does | Free Steam game recommender that ranks games against your library and what players are saying in reviews
| A simple and universal swarm intelligence engine
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| Stage | Startup
| Not given
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| Founded | 2025
| Not given
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| Based in | Not given
| Not given
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| Pricing model | Free
| Freemium
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| Pricing | Not given
| Starter: $7.50/month (monthly) or $9/month (annual); Pro: $15.83/month (monthly) or $19/month (annual); Premium: $40.83/month (monthly) or $49/month (annual). Annual plans save 17%.
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| 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
| - Upload PDF, Markdown, and text documents to seed simulations
- Convert source material into ontology and graph structure
- Run parallel simulations with up to 1 million agents per run
- Generate prediction reports with key risks and confidence signals
- Deep interaction through ReportAgent or direct character interviews
- Dual-surface simulation across Twitter and Reddit style channels
- Follow-up questions in the same workspace for continued analysis
- Build executable scenarios for public opinion, market, policy, and narrative use cases
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| 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
| - Inspectable AI forecasts treated as exploratory hypotheses before operational decisions
- Review simulations before upload with the Forecast Explorer gallery
- Graph-native simulation that exposes actor incentives, narrative spread, and reaction chains
- Templates and guides for recurring scenario types like crises and product launches
- Keeps judgment with humans on scenario boundaries and high-stakes operating calls
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 1 ▲ +1 (up) since last check | 56 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 5 |
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| Citation Flow (Majestic) | 20 | 30 |
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| Referring domains (Majestic) | 9 | 160 |
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4 details filled in for both companies.
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