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imho.run vs Meetext

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 Meetext
Detailimho.run logo imho.runMeetext logo Meetext
What it doesFree Steam game recommender that ranks games against your library and what players are saying in reviews AI-native forward deployed engineering software for enterprise customer deployments
StageStartup Startup
Founded2025 2025
Based inNot given Not given
Pricing modelFree Freemium
PricingNot given Free during launch for all plans. Developer: $0/month (1 customer, 2 environments). Startup: $249/month or $2,988/year (10 customers, 25 environments). Growth: $849/month or $10,188/year (75 customers, 150 environments). Enterprise: Custom pricing. If using Meetext's AI model, charged on usage at ap
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
  • Supports 14 enterprise destinations including Slack, Teams, ChatGPT, Claude, Salesforce, ServiceNow, HubSpot, Notion, Linear, Atlassian, Asana, Google Chat, Cursor and VS Code
  • Personal data masking and usage budgets with kill switch
  • Health checks, incident response and three-layer monitoring
  • Customer-written acceptance criteria that rerun on each publish
  • Hosted MCP endpoints and customer installation portals
  • Cross-customer gap detection and pull request generation
  • Permission-aware AI agent that requests confirmation before acting
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
  • Automates the repeatable deployment work that scales linearly with customer count, avoiding the need to hire more forward deployed engineers
  • Priced per customer environment rather than by API traffic or usage volume
  • Verifies changes only when customer-written acceptance criteria pass, not just when code is deployed
  • Includes AI agent for common operational tasks but all changes require human confirmation
Community votes00
DR (Domain Rating by Ahrefs)1 +1 (up) since last check7 +4 (up) since last check
Trust Flow (Majestic)01
Citation Flow (Majestic)2020
Referring domains (Majestic)97

6 details filled in for both companies.

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