#kademlia
Live, measured metrics for the hashtag #kademlia from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #kademlia
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-30 12:42 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-30 12:42 UTCNo related tags with measured usage found for #kademlia.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-30 12:42 UTCEverything below is measured over the latest 17 public posts (spanning ~54690 hours).
Posting hours (UTC) — busiest: 21:00
Languages: English (10) · Spanish (2) · French (2) · German (2) · Russian (1)
Avg boosts / post: 0.6
Top of the latest posts
Really cool video by @b5 looking at optimizations over #kademlia #dht algos by taking latency into account when searching for data. Seems like it would be very useful for #p2p and #localfirst protocols. https://www.youtube.com/watch?v=-OUUX
I am working on a decentralized, peer-to-peer, encrypted #chat written in #Python: https://github.com/FluxChat/fluxchat-py It uses the #Kademlia algorithm to create an #overlay network. You can even use your existing GPG/PGP keys to join. I
A thing I've been thinking about is whether word embedding could be used to build exhaustive distributed search. #P2P networks like #Kademlia use the 'closeness' of an ID's bit pattern to determine node neighbours: you could just as easily
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/kademlia