Sometimes data systems, sometimes security, sometimes ai/ml, sometimes a blend of it all.
~28k follows per minute (p99)
~37k likes per minute (p99)
~5k reposts per minute (p99)
~350 signups per minute (p99)
#databs from a @prometheus.io exporter, running in a @github.com codespace:
~28k follows per minute (p99)
~37k likes per minute (p99)
~5k reposts per minute (p99)
~350 signups per minute (p99)
#databs from a @prometheus.io exporter, running in a @github.com codespace:
attach 'https://hive.buz.dev/abuse_ch/catalog' as abuse_ch;
select * from abuse_ch.malware limit 10;
attach 'https://hive.buz.dev/abuse_ch/catalog' as abuse_ch;
select * from abuse_ch.malware limit 10;
From a @duckdb.org , running:
attach 'https://hive.buz.dev/ipinfo/catalog' as ipinfo;
will load the following tables:
- asn
- country
- country_asn
ip-enrich to your ❤️'s content...
From a @duckdb.org , running:
attach 'https://hive.buz.dev/ipinfo/catalog' as ipinfo;
will load the following tables:
- asn
- country
- country_asn
ip-enrich to your ❤️'s content...
If you want the alternative tables (checkpoint tbl and soon-to-be-pre-modeled views) use the remote catalog 😉
If you want the alternative tables (checkpoint tbl and soon-to-be-pre-modeled views) use the remote catalog 😉
1. Catalog (along w/ underlying data) is now updated every ~5min. System purges every 500k records if volume goes 📈 this time goes 📉
2. There's a secondary table in the catalog (bluesky.checkpoint) which represents the most current time_us
1. Catalog (along w/ underlying data) is now updated every ~5min. System purges every 500k records if volume goes 📈 this time goes 📉
2. There's a secondary table in the catalog (bluesky.checkpoint) which represents the most current time_us
thanks @cloudflare.social
thanks @cloudflare.social
tl;dr:
full @bsky.app jetstream feed
landing in @cloudflare.social R2 (and available to you!)
accessible using two lines of @duckdb.org sql
tl;dr:
full @bsky.app jetstream feed
landing in @cloudflare.social R2 (and available to you!)
accessible using two lines of @duckdb.org sql
run a @prometheusio.bsky.social metrics exporter
powered by @duckdb.org
in a @github.com codespace
backed by @bsky.app api data
to calculate @duckdb.org @bsky.app profile stats on the fly (in 250ms)
Using sql
github.com/jakthom/herc...
run a @prometheusio.bsky.social metrics exporter
powered by @duckdb.org
in a @github.com codespace
backed by @bsky.app api data
to calculate @duckdb.org @bsky.app profile stats on the fly (in 250ms)
Using sql
github.com/jakthom/herc...