Showing observation from: 2026-09-24 18:00:02 UTC (3600s)
| Host | API 1 | Run by | Location | Users | Events | % of max 2 | Uptime 3 |
|---|---|---|---|---|---|---|---|
| relay.bas.sh | @bas.sh | 🇩🇪 Germany (Hetzner) | 203,653 | 1,482,831 | 100.00% | 100.0% | |
| atproto.africa | Blacksky Algorithms | 🇺🇸 Virginia (OVH) | 203,615 | 1,480,933 | 99.98% | 95.3% | |
| nyc.firehose.stream | @sri.xyz | 🇺🇸 Virginia (OVH) | 203,593 | 1,512,135 | 99.97% | 100.0% | |
| asia.firehose.network | @sri.xyz | 🇮🇳 Mumbai (OVH) | 203,588 | 1,475,127 | 99.97% | 100.0% | |
| sfo.firehose.stream | @sri.xyz | 🇺🇸 Oregon (OVH) | 203,586 | 1,512,085 | 99.97% | 100.0% | |
| chennai.firehose.stream | @sri.xyz | 🇮🇳 Mumbai (OVH) | 203,581 | 1,511,928 | 99.96% | 100.0% | |
| relay1.us-east.bsky.network | Bluesky PBC | 🇺🇸 Virginia (–) | 203,381 | 1,473,799 | 99.87% | 99.4% | |
| relay1.eurosky.network | Eurosky | 🇩🇪 Germany (Hetzner) | 203,375 | 1,473,950 | 99.86% | 100.0% | |
| jetstream1.eurosky.network | Eurosky | 🇩🇪 Germany (Hetzner) | 203,374 | 1,510,781 | 99.86% | 100.0% | |
| relay3.fr.hose.cam | @bad-example.com | 🇫🇷 France (OVH) | 203,369 | 1,472,940 | 99.86% | 100.0% | |
| jetstream1.us-east.bsky.network | Bluesky PBC | 🇺🇸 Virginia (OVH) | 203,369 | 1,510,705 | 99.86% | 100.0% | |
| jetstream2.us-east.bsky.network | Bluesky PBC | 🇺🇸 Virginia (OVH) | 203,368 | 1,510,694 | 99.86% | 99.4% | |
| relay1.us-west.bsky.network | Bluesky PBC | 🇺🇸 California (–) | 203,360 | 1,473,828 | 99.86% | 100.0% | |
| bsky.network | Bluesky PBC | 🇺🇸 California (–) | 203,360 | 1,473,828 | 99.86% | 100.0% | |
| relay.fire.hose.cam | @bad-example.com | 🇨🇦 Montreal (ServaRica) | 203,355 | 1,473,651 | 99.85% | 100.0% | |
| jetstream2.fr.hose.cam | @bad-example.com | 🇩🇪 Germany (Hetzner) | 203,355 | 1,509,712 | 99.85% | 100.0% | |
| jetstream2.us-west.bsky.network | Bluesky PBC | 🇺🇸 Oregon (OVH) | 203,353 | 1,510,625 | 99.85% | 99.4% | |
| jetstream1.us-west.bsky.network | Bluesky PBC | 🇺🇸 Oregon (OVH) | 203,353 | 1,510,621 | 99.85% | 100.0% | |
| jet.firehose.stream | @sri.xyz | 🇨🇦 Quebec (OVH) | 203,340 | 1,510,536 | 99.85% | 99.4% | |
| jetstream1.us-east.fire.hose.cam | @bad-example.com | 🇺🇸 Virginia (Hetzner) | 203,331 | 1,510,484 | 99.84% | 100.0% | |
| jetstream.us-west.bsky.network | 2 | Bluesky PBC | 🇺🇸 California (–) | 203,185 | 1,507,737 | 99.77% | 100.0% |
| jetstream.us-east.bsky.network | 2 | Bluesky PBC | 🇺🇸 Virginia (–) | 203,181 | 1,507,707 | 99.77% | 99.4% |
| relay.t4tlabs.net | @isla.pet | 🇨🇦 Toronto (Xenyth) | 202,248 | 1,454,379 | 99.31% | 100.0% | |
| relay.waow.tech | @zzstoatzz.io | 🇩🇪 Germany (Hetzner) | 201,891 | 1,456,797 | 99.13% | 100.0% | |
| jetstream.waow.tech | @zzstoatzz.io | 🇩🇪 Germany (Hetzner) | 201,884 | 1,524,604 | 99.13% | 100.0% | |
| zlay.waow.tech | @zzstoatzz.io | 🇩🇪 Germany (Hetzner) | 200,683 | 1,445,480 | 98.54% | 99.4% | |
| europe.firehose.network | @sri.xyz | 🇵🇱 Warsaw (OVH) | 195,726 | 1,424,836 | 96.11% | 100.0% | |
| frankfurt.firehose.stream | @sri.xyz | 🇩🇪 Frankfurt (OVH) | 195,726 | 1,486,305 | 96.11% | 100.0% | |
| london.firehose.stream | @sri.xyz | 🇬🇧 London (OVH) | 195,721 | 1,486,280 | 96.11% | 100.0% | |
| northamerica.firehose.network | @sri.xyz | 🇺🇸 Virginia (OVH) | 155,710 | 1,004,462 | ⚠️ 76.46% | 100.0% | |
| jetstream.fire.hose.cam | @bad-example.com | 🇨🇦 Montreal (ServaRica) | 102,693 | 572,196 | 50.43% | 100.0% | |
| relay.upcloud.world | UpCloud | 🇵🇱 Warsaw (–) | 71,866 | 516,507 | 35.29% | 100.0% | |
| relay.feeds.blue | @mackuba.eu | 🇩🇪 Germany (Netcup) | 683 | 6,962 | 0.34% | 100.0% | |
| relay.klbr.net | @klbr.net | 🇨🇦 Canada (-) | 0 | 0 | ⚠️ 0.00% | 12.4% | |
| relay.klbr.net | @klbr.net | 🇨🇦 Canada (-) | 0 | 0 | ⚠️ 0.00% | 12.4% |
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.