Social sentiment

What it shows

The project's social and developer reach: Twitter/X followers and posts, Reddit subscribers and activity, GitHub stars and forks, plus a combined social score. Measures attention and engagement around the project.

How to read it

Look at quality, not just scale: a high active-user ratio and lively GitHub activity matter more than raw follower counts. A sudden reach spike without fundamentals can signal hype. Action: use social data as narrative context, combining it with on-chain and market metrics.

Parameters

Twitter / X
Follower and post counts: the project's reach and communication activity.
Positive reading: Growing reach with regular posts: lively, active communication.
Neutral reading: Follower count alone can be inflated by bots. Look at real engagement.
Reddit
Subscribers, active users and posts per day in the community.
Positive reading: A high active-to-subscriber ratio: an authentic community.
Negative reading: A large base but almost no activity: a dead or artificial community.
GitHub
Repository stars and forks: a rough measure of developer interest.
Positive reading: High stars and forks, which means a technical project attracting developers.
Neutral reading: Stars alone do not prove development pace, as living code is what counts.
Social score
An aggregate metric combining signals from different platforms into one number.
Neutral reading: Treat it as a quick shortcut for market attention, not a measure of project quality.

Example

200k Twitter followers but only 50 active Reddit users and no new commits, which means large reach with little real engagement. Conversely: rising GitHub stars and high Reddit activity suggest authentic interest.

Where in the app

All methods