Bluesky rolls out an app update that lets users customize their algorithmic feeds through “show more like this” and “show less like this” buttons
Bluesky is now allowing users to personalize their main Discover feeds. The social network is rolling out an updated version …
Context & Ripple Effects
Bluesky had already made feed choice a product differentiator through custom feeds that users could subscribe to or build. Adding simple feedback controls to Discover extends that approach from selecting a feed to continuously shaping the default recommendation experience.
The change matters because it makes algorithmic control available without requiring users to find, join, or create a separate feed. It also establishes a feedback mechanism that can inform how Bluesky evolves ranking across its core surfaces.
First-order effects
- Bluesky users can immediately signal whether Discover should surface more or less content resembling a post, giving them a direct way to tune recommendations.
- Bluesky gains explicit preference signals from its main feed, while creators’ distribution in Discover can become more sensitive to the audience feedback their posts receive.
Second-order effects
- The update reduces the gap between Bluesky’s advanced custom-feed model and the lower-effort personalization users expect in a default feed; competing social apps face added pressure to pair ranked feeds with understandable controls.
- As Discover becomes more responsive to individual feedback, users may rely less on manually switching among niche feeds, increasing the importance of how Bluesky balances personal relevance with content discovery.
Third-order effects
- If Bluesky keeps combining user-selected feeds with in-feed controls, social recommendation may shift toward a hybrid model: platforms still rank content, but users have more visible leverage over the inputs.
- That model could make transparency and user agency a more durable point of competition in social feeds, though its value will depend on whether the controls produce noticeably better results.
The trend: Bluesky is part of a broader shift toward recommendation systems that retain algorithmic ranking while exposing more direct user control over what gets amplified.