You could, but your reviews, specifically how much they differ from what we expected, are what shape your taste profile. That’s the foundation of the entire machine learning algorithm. Removing games doesn’t tell us what you liked or disliked, so it weakens your recommendations.

It's not our data to use. Technically, pulling it with some GitHub library or scraping the site directly would be easy. But HowLongToBeat is a registered trademark of IGN Entertainment, and their site explicitly forbids reproducing any part of its content without permission. Since they don’t offer a public API or an integration path, there's nothing we can do about it at the moment.

It's not our data to use. Just like with HowLongToBeat, Metacritic doesn’t provide a public API or a licensing path - and scraping their site falls into an ethical grey area I prefer to avoid. I'm currently exploring the possibility of integrating OpenCritic, which is much more open and dev-friendly.

Not yet. Every platform stores data differently, so creating a bridge with other formats and databases (Backloggd, HowLongToBeat, IsThereAnyDeal, etc.) requires custom work. If there's a specific site you'd like GamesGraph to support, drop a comment so I can prioritize them after I've finished developing other features!

Out of scope, for now. Tracking achievements across thousands of games and users would put a significant burden on the Steam Web API, which has a very strict request rate limit. We need to reserve those requests for more critical operations, like continuously scanning games and DLC and syncing collections without delay.

Through external means. To keep things safe and spam-free, we don’t currently support in-site messaging. That said, if someone has filled out Discord or Reddit info on their profile, you’re welcome to reach out there. And if you both follow each other, their Steam ID becomes visible so you can connect that way.

Skip for Now is more flexible. Both options send the game to your /skipped page, where you can revisit titles sorted by algorithm score. Since Skip for Now entries can be reset separately, you can refresh your discovery queue without reintroducing games you’ve more permanently dismissed with Not Interested. It’s a handy way to keep tabs on titles you’re curious about, without adding them to the wishlist.

Doesn't matter! GamesGraph adapts to any scale you gravitate toward, so you're free to assign ratings however you like - as long as you're consistent over time.

Nope! It’s just a convenient social feature that lets you view their reviews and send or receive direct recommendations. So don’t worry, adding that one weird friend who always disagrees with you won’t mess up your results.

The rating system. While Steam also uses advanced machine learning trained on millions of users, it still thinks you love that MMO you rage-uninstalled in 2018 and has no idea how much you enjoyed that short indie gem. GamesGraph builds a personalized profile from your own ratings across multiple platforms, not just Steam.

Sorry, it's awfully inefficient. The way machine learning works, finding the top recommendation in real-time based on active filters is already a computationally intensive task, and generating an entire sorted page would require even more resources. The current approach is much easier to optimize.

Just one person - hey, that's me👋. I started building this in 2019 as a way to learn web development with ASP.NET Core and explore new tech. I get bored quickly with tutorials, so as an avid gamer, I built something I’d actually use daily.

Not officially, but it’s easy to work with. Every account already comes with a unique access token (visible in your settings) that’s used by the upcoming browser extension, so while there’s no fully documented API yet, creating custom endpoints is straightforward on my end. If you’re building a personal tool or script, just reach out and explain exactly what you need - we’re happy to consider supporting it.