Bluesky Profile
Analytics
Paste any public Bluesky handle and get instant engagement insights, likes, reposts, best days to post, top content, and more.
What you get
A complete picture of any public Bluesky account's performance.
Engagement rate
Avg likes + reposts + replies vs. follower count. Benchmark how well content is connecting.
Best posting days
Which days of the week generate the highest average engagement for this account.
Best time of day
Morning, afternoon, evening, or night, see when posts perform best for this profile.
Top 3 posts
The highest-performing recent posts by engagement score, with full text and stats.
How it works
Three steps, instant results.
Enter a Bluesky handle
Type or paste any public Bluesky handle, like @jay.bsky.social, into the input box above.
Click Analyze
The tool fetches up to 100 recent original posts from the public AT Protocol API. No login needed.
Explore the insights
Scroll through engagement stats, day and time breakdowns, post type mix, and the account's top posts.
Frequently asked questions
How to use Bluesky Profile Analytics
From first search to actionable growth insights, a complete guide.
BskySuite's Profile Analytics tool gives you a data-backed look at any public Bluesky account, your own or anyone else's. Here's how to get the most from it.
Step 1, Enter a handle
Type any public Bluesky handle into the search field, for example yourname.bsky.social or a custom domain handle like yourname.com. You don't need the leading @. Click Analyze and the tool fetches up to 100 of the account's most recent public posts via the AT Protocol API.
What the metrics mean
Average likes and reposts per post are the raw engagement averages across the sample window. Divide likes by followers to get a rough engagement rate. Like / repost / reply ratio tells you the community response, high replies with low likes often signals debate; high reposts with low replies signals shareable evergreen content.
Most used hashtags show what topics dominate the account's reach. Best day and best time to post are derived from which weekday and UTC hour-band saw the highest average engagement across the sample. Convert the time to your local timezone before acting on it.
Top posts are the three highest-liked posts in the sample, useful for spotting which content format or topic hit hardest.
Tips for interpreting the data
The analysis window is the most recent 100 posts, not lifetime data. Accounts with fewer than 20 posts will see less reliable averages, patterns stabilise after 50+ posts. Use the "best time" insight directionally: Bluesky's global user base spans many timezones, so a peak at 14:00 UTC likely means your audience skews European. Cross-reference with which posts in your Top Posts list you actually posted at that time.
Common use cases
Reviewing your own account before a follower push · Researching a potential collaborator or competitor · Validating whether a posting-time strategy is working · Finding a niche creator's top-performing content format before you pitch them.
What counts as a good engagement rate on Bluesky?
This is the question people ask most, and the honest answer is that it depends heavily on account size. Engagement rate is calculated as total interactions divided by follower count, which means smaller accounts almost always post higher percentages than large ones. A creator with 300 engaged followers can easily see rates that a 100,000-follower account will never match, simply because a larger audience contains more passive followers.
Rather than chasing a universal benchmark, compare your account against itself over time. A rate that is climbing month over month tells you far more than any industry average. If you want an external comparison, look at accounts of a similar size in a similar niche rather than the biggest accounts on the platform. Bluesky in general tends to show higher engagement than older, larger networks, partly because the default timeline is chronological and partly because the community is still relatively conversational.
Reading likes, reposts, and replies differently
The three interaction types are not interchangeable, and treating them as one number hides useful information:
- Likes are the cheapest signal. They indicate approval but require almost no effort, so a high like count with little else often means people agreed and moved on.
- Reposts are the strongest distribution signal. A repost puts your post in front of an entirely new audience, so posts with high repost counts are the ones actually growing your reach.
- Replies indicate genuine conversation. A post with many replies but few likes usually struck a nerve or asked something people wanted to answer, which is valuable in a different way.
If your goal is growth, pay closest attention to which posts earn reposts. If your goal is community, replies matter more. Optimising for likes alone tends to produce agreeable but forgettable content.
Turning the data into a posting routine
Analytics are only worth the time if they change what you do. A practical loop looks like this. Check your top posts and identify what they have in common: format, topic, length, whether they included media, whether they asked a question. Then deliberately produce more in that direction for two or three weeks and check again. Most people find one or two formats that consistently outperform the rest, and simply doing more of those moves the numbers more than any posting-time optimisation.
Use the best-time insight to schedule around your audience rather than your own convenience, keeping in mind that it reflects when your existing followers are active, not when new people might discover you. If you want to act on that systematically, our guide to scheduling posts on Bluesky covers the tools that let you queue content for those windows, and our guide to growing your following covers the habits that compound over time.
Limitations you should know about
Being straightforward about what this tool cannot see matters as much as what it can. It analyses public data only, so it works on any public profile but cannot read private accounts. It samples the most recent 100 posts rather than an account's entire history, which keeps results fast but means it describes recent behaviour rather than lifetime performance. It has no access to impressions, reach, profile views, or follower demographics, because Bluesky's public API does not expose those figures to anyone. Any tool claiming to show you Bluesky impression counts for an arbitrary account is estimating rather than measuring.
Follower counts also move for reasons unrelated to your content, including account deletions and spam purges, so a small dip is rarely worth reacting to.
Privacy
No login is required and no password is ever requested. The tool reads public profile data through Bluesky's public API, the same information any visitor to the profile could see. Nothing is stored, no history of what you searched is kept, and looking up a profile is invisible to its owner.
Frequently asked questions
Can I analyse any Bluesky account or only my own?
Any public account. Because the tool reads public data, you can look up your own profile, a competitor, or a potential collaborator without needing access to their account.
Does the person know I looked at their profile?
No. The tool performs a read-only lookup through the public API and generates no notification of any kind.
Why can't I see impressions or profile views?
Bluesky's public API does not expose impression, reach, or profile-view data. No third-party tool can show you real numbers for those metrics, so we do not display estimates dressed up as facts.
How far back does the analysis go?
The most recent 100 posts. Accounts with fewer than about 20 posts will see less stable averages, and patterns become more reliable past 50 posts.
Do I need an account to use this?
No account, no login, and no cost. Everything runs in your browser against public data.