Research synthesis
What this prototype copies
The useful pattern is not a giant database. It is a ranked briefing with taste memory, clear timing, deal awareness, and fast negative feedback.
Design north star
Recommend fewer games, explain them better, and keep every signal adjustable.
| Steam Discovery Queue | Small batches, ignore/wishlist/follow feedback, store preferences. |
|---|---|
| Steam Wishlist / Curators | High-intent user signal plus trusted human/editorial overlays. |
| OpenCritic / Metacritic | Aggregate quality, but separate score confidence from taste fit. |
| Backloggd / Letterboxd / Goodreads | Shelves, diaries, lists, and social proof create durable taste memory. |
| Deku Deals / SteamDB / IsThereAnyDeal | Historical lows, price watches, platform/store normalization. |
| GX Corner release calendar | Time-based browsing keeps upcoming releases visible without a huge list. |
| Netflix / Spotify / TikTok / YouTube | Feedback controls and novelty mixing keep discovery from going stale. |
| Daily briefings/newsletters | Few items, clear reason, source link, and an editorial stop rule. |
Sources used
- Steam Labs and Discovery
- Steam popular upcoming
- Steam upcoming Visual Novel tag
- Steam upcoming JRPG tag
- Steam upcoming Story Rich tag
- Steam Personalized Release Calendar
- OpenCritic
- Metacritic
- Deku Deals
- Epic Games Store free games
- Epic promotions endpoint
- Amazon Luna claims
- Amazon Luna June 2026 update
- Netflix recommendations help
- TikTok recommendation system
- YouTube recommendation controls
- Snowy recent games
- Snowy's Steam profile