How to Mass Follow on Bluesky — the Return Depends on Who You Follow, Not How Many
Bluesky gives you two mass-follow buttons you can press without installing anything: Follow all on a starter pack, capped at the 150 accounts a pack may hold, and Follow all in Settings → Find contacts, which is uncapped but only reaches people already in your address book. Everything else is a browser extension or a hosted service clicking follow for you, one account at a time, against a technical ceiling of 1,666 follows an hour. None of that is the hard part. The hard part is that the follow-back rate barely moves with how many people you follow and moves enormously with who you follow.
Every page ranking for this sells the clicking. Circleboom's opens by asserting Bluesky has no native bulk follow at all (it does); BluePilot's shows you "up to 100 accounts at a time" before you "hit follow all"; the extensions document their pause settings. Not one of them says what share of those follows ever comes back — which is the only number that decides whether pressing the button is worth anything.
So I measured it: 7,652 follows sampled across 192 active Bluesky accounts, read logged out on September 9, 2026, plus a control group of 30 brand-new accounts.
Can You Mass Follow on Bluesky?
Mass following on Bluesky means following many accounts in quick succession; the only native bulk actions are the two Follow all buttons — one on a starter pack, capped at 150 accounts, one on your matched phone contacts — and everything else is a third-party tool clicking follow one account at a time.
Open any starter pack and the button is right there. Bluesky's own FAQ sets its ceiling: "You can recommend up to 150 people and up to 3 custom feeds." The contacts version, buried in Settings, has no such cap — it follows every match it found, however many that is. Beyond those, the signup flow presses the same button for you three different ways. Lists don't have it, search results don't have it, and nothing in the app will follow everyone who follows someone else.
What happens underneath is worth knowing, because it's the machinery the tools imitate. The starter-pack handler in the app's source drops yourself, anyone you've muted or blocked, and anyone you already follow, then hands the rest to bulkWriteFollows, which writes them through com.atproto.repo.applyWrites in chunks of 50 — three API calls for a full pack, not 150. Each record carries a via reference back to the pack, so the follow itself remembers where it came from, permanently and publicly. (The signup path that fires when you join through a pack link skips the filtering and just writes the whole list.)
That reference is public, so it can be counted. Across 297 accounts that had recently followed @bsky.app — about as close to "new user" as the public API gets — 37.0% of all their follow records carried a starter-pack reference, but only 5.7% of the accounts had any at all, and for those it was a median 91.7% of their entire following list. That shape is the signature of joining Bluesky through a pack link rather than of anyone hunting down the button later. Among 192 established accounts holding 358,232 follows between them, the same reference appears on just 2.47% of records. Bulk following is how a lot of people start on Bluesky and almost never how they keep going.
How Many People Can You Follow at Once on Bluesky?
1,666 in an hour and 11,666 in a day — a technical ceiling, not a recommendation. Bluesky's rate-limit documentation sets "5,000 points per hour and 35,000 points per day," a record creation costs 3 points, and a full 150-person pack therefore costs 450. Follows share that pool with your posts and your likes, and the same page names its target: the limits "will affect prolific bots, such as the ones that follow every other account or like every post on the network." The full arithmetic, including why there is no lifetime follow cap, is in Bluesky's follow limits.
What Do the Mass-Follow Tools Actually Do?
They click for you, one follow at a time, either from inside your logged-in browser session or with an app password you hand over. Four are in circulation (checked September 2026):
| Tool | Form | What it follows | What it needs |
|---|---|---|---|
| Bluesky Helper | Chrome extension, ~20,000 users, free | "Follow everyone on a page, or only people who already follow you" | your logged-in browser session |
| Superpowers for Bluesky | Chrome extension, freemium — free tier caps mass follow at "max 20" | followers, following, search-latest, hashtag-latest and liked-by views | your logged-in browser session |
| BlueWave | self-hosted web app, last commit Feb 2024 | another account's following list, keyword-filtered | your handle + an app password |
| BluePilot | hosted service, paid | you review "up to 100 accounts at a time," then "hit follow all" | account connection |
Both extensions let you slow the run down — Superpowers is the most explicit, offering "Pause x seconds (random between Min – Max) after each follow" plus a daily cap. BlueWave's README says nothing about pacing, though its code does sleep a second between follows, and a pre-ticked checkbox labelled "Follow the BlueWave creator to get updates" adds one more follow at the end of every run. BluePilot says it "respects Bluesky's daily follow limits, so you don't risk getting flagged." (An app password is not scoped: anything that can follow for you can also post, DM and unfollow.)
Will You Get Banned for Mass Following on Bluesky?
Not by the rate limiter — that hands you an HTTP 429 and stops you until the window resets. The rule with teeth is the Community Guidelines, last updated September 19, 2025: "Do not artificially manipulate features or social signals to gain unearned reach or mislead users, including engagement metrics, follower counts, or other measures of community interest." Bluesky's rate-limit page says the same thing from the engineering side — "bulk or spammy interactions are against the Community Guidelines."
Automation itself is fine; Bluesky publishes a bot tutorial, and we've been through where the line actually sits. Volume is what gets an account labelled as spam, and the app password is the risk nobody writes about.
Does Mass Following Get You Followers on Bluesky?
About a third of the time at best — and the third it works on is not the third you were aiming at. Across 192 accounts whose posts reached the Discover feed and 7,652 randomly sampled follows out of their lists, 35.5% of the accounts they had followed first followed back (median per account: 33.3%). These are deliberate follows by accounts people already read, so treat 35.5% as the ceiling a well-aimed follow can reach rather than the return on a mass-follow run — the brand-new-account control below lands at 1.3%. The number I'd sit with is the other one: across the whole sample, 45.1% of sampled follows were reciprocations, where the other person followed first. Nearly half of what looks like outreach isn't.
Method, all of it public and unauthenticated: I read each account's complete follow list straight out of its repository (com.atproto.repo.listRecords), then took a random sample of 40 of the accounts it follows and asked app.bsky.graph.getRelationships about each pair. One call covers 30 targets and returns both follow records, so I get the mutual flag and both record keys — and record keys are TIDs minted server-side when the write lands, so comparing them tells me who followed whom first. Pairs where the other account followed first are discarded; they aren't returns, they're courtesies.
The first cut is the one that surprised me:
| Accounts they follow | Accounts | Follows sampled | Followed back when they went first |
|---|---|---|---|
| 25–199 | 41 | 1,612 | 32.0% |
| 200–999 | 72 | 2,880 | 37.3% |
| 1,000–2,999 | 48 | 1,920 | 32.6% |
| 3,000–20,000 | 31 | 1,240 | 39.9% |
| All | 192 | 7,652 | 35.5% |
Across the range this sample covers, volume neither costs nor buys much. From 25 follows up to 18,461 — the largest list in the set — the buckets sit between 32.0% and 39.9% with no trend. There's no visible penalty for a big following list and no compounding advantage either. Accounts following more than 20,000 people were excluded by the sampling filter, so this says nothing about genuine high-volume followers in either direction.
Here's the cut that explains it — the same pairs, bucketed by how big the target was:
| The account they followed had | Follows sampled | Followed back at all | Followed back when our account went first |
|---|---|---|---|
| under 100 followers | 471 | 79.0% | 51.0% |
| 100–999 followers | 2,096 | 78.1% | 49.8% |
| 1,000–9,999 followers | 2,838 | 66.7% | 38.0% |
| 10,000–99,999 followers | 1,437 | 55.8% | 30.3% |
| 100,000+ followers | 378 | 22.5% | 13.8% |
Follow someone with 300 followers and it's close to a coin flip; follow someone with 300,000 and it's roughly one in seven. Four in five of the smallest accounts are mutuals with the person who followed them. The median target across all 7,220 resolved profiles had 2,182 followers — peers, in other words, which is exactly why the headline number looks healthy.
Now the control group. I ran the identical measurement over 30 accounts sampled from the people who had most recently followed @bsky.app, and their pooled return was 1.3% across 1,099 sampled follows. The reason is in the same column: the median account they followed had 72,987 followers, and their 368 sampled follows aimed at accounts over 100,000 followers produced zero follow-backs.
| Discover-feed accounts | Brand-new accounts | |
|---|---|---|
| Accounts measured | 192 | 30 |
| Follows sampled | 7,652 | 1,099 |
| Median size of account followed | 2,182 followers | 72,987 followers |
| Followed back when they went first | 35.5% | 1.3% |
Two things differ between those columns — who's doing the following and who they picked — so this isn't a clean experiment. But the gradient runs the same way inside the new-account group too: 7.0% back from targets with 100–999 followers (48 pairs, thin), 0.0% from targets over 100,000. Following famous people is the expensive mistake, and it's the default one, because famous people are who a new feed shows you.
This also settles an estimate I made in an earlier post, where I guessed 3–8% for random following and 25–40% for targeted, from experience rather than measurement. The 25–40% band survives — 35.5% sits inside it. The 3–8% doesn't: nothing in this data is that low except when the targets are enormous. The axis I called random-versus-targeted turns out to be mostly target size.
When a follow-back does come, it comes fast: the median gap is 6.0 hours, 31.2% land within the first hour and 64.2% within a day (n=1,491). But more than a third arrive later than 24 hours, so a one-day check is a signal, not a verdict.
Honest limits on my numbers. The 192 accounts are authors of posts in Bluesky's Discover feed, so they skew active and visible — 79 of them have over 10,000 followers and exactly one has under 100. Accounts following fewer than 25 or more than 20,000 people were excluded, which took 220 sampled authors down to 192. I sampled 40 follows per account rather than every pair, and the bucket figures are pooled rather than averaged. 7,220 of the 7,652 sampled targets resolved to a live profile, which is the denominator for the target-size table. Anyone who followed back and later unfollowed is scored as a miss, so these rates are floors. Every figure was read logged out on September 9, 2026 with bsky_stats.py followback and viafollows.
What Works Better Than Mass Following on Bluesky?
Not "follow fewer people" — follow different people. The numbers above collapse into three rules:
- Target peers, not celebrities. The gap between the best and worst target bucket is nearly four to one. Follow the people in the conversation rather than the people the conversation is about — finding them is the whole skill.
- Pace it. Nothing about your follow-back rate improves by going near the ceiling, and everything about your spam risk gets worse.
- Check the next day, prune the next week. Two thirds of follow-backs are in within 24 hours, so a same-day look tells you where you stand — the other third is exactly why a week's patience costs nothing. If you do prune, verify the follow-back is really gone first.
That's the whole job, and it's why Agent Sky exists — I sell it, so weigh the pitch accordingly. It picks accounts genuinely active in your niche instead of whoever is famous this week, and follows them at a human pace: a median of about 3.6 follows per day across 58,334 real follows among our users (method and spread here). It then verifies a live follow-back before it unfollows anyone, so a mutual never gets cut by mistake — in that data only 4.7% of follows were ever reverted, at a median of 7 days. $9 a month, free to start. It is deliberately slower than a mass-follow extension, because the extension's speed was never the part that was failing.
And you don't need any of it to act on the table above. The finding fits in one sentence you can apply by hand: follow people your own size.
Quick FAQ
Can you mass follow on Bluesky?
Yes, in two places, without installing anything. A starter pack has a Follow all button that follows every account in the pack you don't already follow, capped by the pack's own limit of 150 people. Settings → Find contacts has a second Follow all that follows every one of your phone contacts already on Bluesky, with no cap — but it only reaches people in your address book. Both call the same helper, which writes the records through com.atproto.repo.applyWrites in chunks of 50. Everything else — the Chrome extensions, the self-hosted scripts, the hosted services — is a third party clicking follow for you one account at a time.
How many people can you follow at once on Bluesky? 1,666 an hour and 11,666 a day, as a technical ceiling. Bluesky's rate-limit documentation puts it at "5,000 points per hour and 35,000 points per day" with a record creation costing 3 points, so a full 150-person starter pack costs 450 points. Follows share that budget with your posts and likes, and the docs say the limits are aimed at "prolific bots, such as the ones that follow every other account or like every post on the network." Crossing the line gets you an HTTP 429, not a ban.
Does mass following get you followers on Bluesky? It depends far more on who you follow than on how many. I sampled 7,652 follows across 192 active Bluesky accounts on September 9, 2026 and checked, record key by record key, who followed whom first: 35.5% of the accounts they followed first followed back. Read that as the ceiling a well-aimed follow can reach rather than the return on a mass-follow run — those are deliberate follows by accounts people already read. The rate was roughly flat from 25 follows to 18,000, and steeply not flat across target size: 51.0% when the account followed had under 100 followers, 13.8% when it had over 100,000. In a control group of 30 brand-new accounts, who follow much bigger accounts (median 72,987 followers), the return was 1.3%.
Will you get banned for using a Bluesky mass follow bot? Not by the rate limiter — that returns an HTTP 429 and stops you until the window resets. The rule with teeth is the Community Guidelines, last updated September 19, 2025, which prohibit artificially manipulating "social signals to gain unearned reach," and Bluesky's own rate-limit page which calls bulk interactions a guidelines problem. Automation itself is permitted; Bluesky publishes a bot tutorial. The underrated risk is the app password: it is not scoped, so a tool that follows for you can also post, DM and unfollow.