5
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| Steam Game Finder | https://nextsteamgame.com/ | Game Recommendation | Uses sentiment analysis, regex, vector similarity, hierarchical genre tree |
| Steam Recommender Code | https://github.com/BakedSoups/Steam_Reccomender | Open Source Project | Procedural tag generation, vector similarity traversal |
USER NEEDS
Pain Points:
- Difficulty finding games similar to favorites
- Overwhelming number of games on Steam
- Lack of personalized recommendations
Problems to Solve:
- Discovering hidden gem games
- Finding games purely by similarity
- Improving game discovery experience
Potential Solutions:
- Better recommendation algorithms
- More refined genre categorization
- Enhanced sentiment analysis of reviews
GROWTH FACTORS
Effective Strategies:
- Building a hierarchical genre tree for better categorization
- Using vector similarity for more accurate recommendations
- Leveraging sentiment analysis of game reviews
Marketing & Acquisition:
- Open sourcing code to attract developer community
- Creating a working prototype to demonstrate value
Monetization & Product:
- Potential premium features for advanced recommendations
- Possible API access for developers
User Engagement:
- Encouraging user feedback for feature development
- Building a community around game discovery