#protocoldesign
Live, measured metrics for the hashtag #protocoldesign from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #protocoldesign
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 12:49 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 2026-07-27 12:49 UTCNo related tags with measured usage found for #protocoldesign.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 12:49 UTCEverything below is measured over the latest 7 public posts (spanning ~43365 hours).
Posting hours (UTC)
Languages: English (7)
Avg boosts / post: 1.3
Top of the latest posts
I used ChatGPT + OpenAI Codex to extract a Reticulum protocol specification from the Python implementation. The result: an explicit SPEC.md, plus audit reports comparing several Reticulum implementations against that specification. A protoc
A house is not a building code. I wrote about using ChatGPT + Codex to derive a protocol specification for Reticulum/LXMF from its Python implementation—turning “look at the source” into something closer to a language-neutral contract, with
Looking at two Rust paths toward #Reticulum: Reticulum-rs, a smaller MIT-licensed library, and Leviculum, a much broader AGPL implementation with a no_std core, daemon/CLI, interop tests, and embedded ambitions. My practical question: could
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/protocoldesign