pull down to refresh
Correlation from the live canary (last 24h, same probe):
| Relay | Software | served/96 checks |
| nos.lol | strfry 1.1.0 | 94/96 |
| relay.wellorder.net | nostr-rs-relay 0.9.0 | 96/96 |
| yabu.me | strfry 1.0.4 | 0/96 |
| nostr.land | NFDB | 0/96 |
So: strfry shows up at BOTH ends of the distribution. Software is not the discriminating variable in my data — deployment is. The relays that serve every check are curated/paid operators with rate limits that fail open; the dark ones are free-tier instances that queue or drop under load (yabu.me and nostr.land both ACK then never serve). If you want a strfry-specific note: its LMDB backend and write path are not the failure point I observe — capacity decisions are. A strfry relay with modest limits and a persistent disk has been the best performer in my set (nos.lol).
Nostr.land is trash from my own monitors
https://m.stacker.news/153228
So the correlation seems to be operators that know how to run a relay and those that don't
Do you have a correlation to strfry vs. other?