Showing observation from: 2026-09-19 18:00:02 UTC (3600s)
| Host | API 1 | Run by | Location | Users | Events | % of max 2 | Uptime 3 |
|---|---|---|---|---|---|---|---|
| relay3.fr.hose.cam | @bad-example.com | 🇫🇷 France (OVH) | 190,528 | 1,338,895 | 100.00% | 100.0% | |
| jetstream2.fr.hose.cam | @bad-example.com | 🇩🇪 Germany (Hetzner) | 190,524 | 1,383,641 | 100.00% | 100.0% | |
| relay.fire.hose.cam | @bad-example.com | 🇨🇦 Montreal (ServaRica) | 190,441 | 1,339,586 | 99.95% | 100.0% | |
| jetstream1.us-east.bsky.network | Bluesky PBC | 🇺🇸 Virginia (OVH) | 190,413 | 1,419,253 | 99.94% | 100.0% | |
| bsky.network | Bluesky PBC | 🇺🇸 California (–) | 190,412 | 1,340,989 | 99.94% | 100.0% | |
| relay1.us-west.bsky.network | Bluesky PBC | 🇺🇸 California (–) | 190,412 | 1,340,986 | 99.94% | 100.0% | |
| jetstream1.us-west.bsky.network | Bluesky PBC | 🇺🇸 Oregon (OVH) | 190,412 | 1,419,235 | 99.94% | 100.0% | |
| jetstream2.us-west.bsky.network | Bluesky PBC | 🇺🇸 Oregon (OVH) | 190,411 | 1,419,228 | 99.94% | 99.4% | |
| jet.firehose.stream | @sri.xyz | 🇨🇦 Quebec (OVH) | 190,404 | 1,419,194 | 99.93% | 99.4% | |
| jetstream2.us-east.bsky.network | Bluesky PBC | 🇺🇸 Virginia (OVH) | 190,398 | 1,419,264 | 99.93% | 99.4% | |
| jetstream1.us-east.fire.hose.cam | @bad-example.com | 🇺🇸 Virginia (Hetzner) | 190,390 | 1,419,120 | 99.93% | 100.0% | |
| jetstream.us-east.bsky.network | 2 | Bluesky PBC | 🇺🇸 Virginia (–) | 190,303 | 1,408,560 | 99.88% | 99.4% |
| jetstream.us-west.bsky.network | 2 | Bluesky PBC | 🇺🇸 California (–) | 190,303 | 1,408,560 | 99.88% | 100.0% |
| relay1.us-east.bsky.network | Bluesky PBC | 🇺🇸 Virginia (–) | 190,071 | 1,340,975 | 99.76% | 99.4% | |
| relay1.eurosky.network | Eurosky | 🇩🇪 Germany (Hetzner) | 189,349 | 1,338,763 | 99.38% | 100.0% | |
| jetstream1.eurosky.network | Eurosky | 🇩🇪 Germany (Hetzner) | 189,347 | 1,383,490 | 99.38% | 100.0% | |
| nyc.firehose.stream | @sri.xyz | 🇺🇸 Virginia (OVH) | 188,221 | 1,411,553 | 98.79% | 100.0% | |
| sfo.firehose.stream | @sri.xyz | 🇺🇸 Oregon (OVH) | 188,214 | 1,411,503 | 98.79% | 100.0% | |
| asia.firehose.network | @sri.xyz | 🇮🇳 Mumbai (OVH) | 188,203 | 1,339,013 | 98.78% | 100.0% | |
| europe.firehose.network | @sri.xyz | 🇵🇱 Warsaw (OVH) | 188,202 | 1,339,026 | 98.78% | 100.0% | |
| frankfurt.firehose.stream | @sri.xyz | 🇩🇪 Frankfurt (OVH) | 188,199 | 1,383,709 | 98.78% | 100.0% | |
| chennai.firehose.stream | @sri.xyz | 🇮🇳 Mumbai (OVH) | 188,198 | 1,383,701 | 98.78% | 100.0% | |
| london.firehose.stream | @sri.xyz | 🇬🇧 London (OVH) | 188,197 | 1,383,692 | 98.78% | 100.0% | |
| relay.t4tlabs.net | @isla.pet | 🇨🇦 Toronto (Xenyth) | 186,924 | 1,319,387 | 98.11% | 100.0% | |
| relay.waow.tech | @zzstoatzz.io | 🇩🇪 Germany (Hetzner) | 186,828 | 1,324,023 | 98.06% | 100.0% | |
| jetstream.waow.tech | @zzstoatzz.io | 🇩🇪 Germany (Hetzner) | 186,823 | 1,396,639 | 98.06% | 100.0% | |
| zlay.waow.tech | @zzstoatzz.io | 🇩🇪 Germany (Hetzner) | 185,605 | 1,316,137 | 97.42% | 99.4% | |
| relay.bas.sh | @bas.sh | 🇩🇪 Germany (Hetzner) | 180,261 | 1,270,582 | 94.61% | 100.0% | |
| northamerica.firehose.network | @sri.xyz | 🇺🇸 Virginia (OVH) | 142,760 | 913,206 | ⚠️ 74.93% | 100.0% | |
| jetstream.fire.hose.cam | @bad-example.com | 🇨🇦 Montreal (ServaRica) | 97,398 | 556,899 | 51.12% | 100.0% | |
| relay.upcloud.world | UpCloud | 🇵🇱 Warsaw (–) | 66,489 | 461,357 | 34.90% | 100.0% | |
| atproto.africa | Blacksky Algorithms | 🇺🇸 Virginia (OVH) | 46,409 | 197,262 | 24.36% | 95.3% | |
| relay.klbr.net | @klbr.net | 🇨🇦 Canada (-) | 33,517 | 128,379 | ⚠️ 17.59% | 12.4% | |
| relay.klbr.net | @klbr.net | 🇨🇦 Canada (-) | 31,803 | 99,180 | ⚠️ 16.69% | 12.4% | |
| relay.feeds.blue | @mackuba.eu | 🇩🇪 Germany (Netcup) | 3,557 | 6,120 | 1.87% | 100.0% |
1) = firehose (CBOR), = Jetstream, 2 = Jetstream v2
2) Outlier results with suspicious numbers are excluded from calculating the "max users" value, which is why some entries might appear with % larger than 100. "No signal received" means the test runner couldn't make a connection, while 0 events mean that no data was sent over the websocket.
3) Uptime is calculated by making connections to listed servers randomly during the day, around 4 times per day on average for a given source, and recording if a connection was successful and received any data. The % is an average over the last 30 days.