Glossary
Social discovery
Also called: People discovery
Social discovery is the set of features that help you find and connect with people you don't already know, based on signals such as shared interests, mutual connections, location or activity.
Reviewed
Discovery vs networking
Classic social networks were built to keep up with people you already know. Social discovery works the other way: it's about meeting people you don't. Most platforms now do both, and the balance shapes what they feel like — a place to stay in touch, or a place to find your people.
Example: someone who has just moved to a new city has almost no connections there. “Friend of a friend” suggestions do little for them; interest-based suggestions, local groups and topic pages do much more.
The signals behind suggestions
| Signal | What it suggests | Trade-off |
|---|---|---|
| Mutual connections | Friends of friends — the classic “people you may know” | Keeps you inside circles you're already in |
| Shared interests | People who picked or post about the same topics | Only as good as the interests people declare |
| Activity | People engaging with the same posts or tags | Can surface people who are simply very active |
| Contacts upload | People whose number or email you hold | Can surface people you'd rather avoid, and shares their details |
| Location | People nearby | The most sensitive signal; easy to misuse |
- Mutual connections
- What it suggests:Friends of friends — the classic “people you may know”
- Trade-off:Keeps you inside circles you're already in
- Shared interests
- What it suggests:People who picked or post about the same topics
- Trade-off:Only as good as the interests people declare
- Activity
- What it suggests:People engaging with the same posts or tags
- Trade-off:Can surface people who are simply very active
- Contacts upload
- What it suggests:People whose number or email you hold
- Trade-off:Can surface people you'd rather avoid, and shares their details
- Location
- What it suggests:People nearby
- Trade-off:The most sensitive signal; easy to misuse
Mutual connections come straight from the social graph; interest and activity signals come from what you do. A good suggestion usually combines several.
Using discovery well
- Pick interests honestly at sign-up. They drive early suggestions more than anything else.
- Go where the topic is. Interest groups and tag pages surface people by what they care about, not who they know.
- Engage before you follow. A thoughtful reply is a better introduction than a cold follow.
- Check your visibility settings so you're discoverable in the ways you want and not others.
On Asyncbit
On Asyncbit, the Explore tab shows posts from people you don't follow yet, trending hashtags, and people suggestions based on shared interests, mutual follows, activity and more. Sign-up asks you to pick interests from 16 topics. Search finds people by name — there are no usernames — and public clubs can be joined directly. Being suggested doesn't open anyone's inbox: 1:1 chats need a mutual follow, so a suggestion is a starting point, not a direct line.
See it for yourself
Asyncbit is free, with no paid tier and no ads. Everything described here is available from the first day.
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Related Asyncbit features
Where this comes up
- Use caseRecommendationsPost a recommendation with a title and type — book, movie, show, music, product or place — let others rate it 1–5 stars, and find it again months later.
- GuideHow to find people with shared interests onlineWhere and how to find people who share your interests online, turn comments into real conversations, and stay safe while you get to know new people.