#readsourcecode
Live, measured metrics for the hashtag #readsourcecode from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #readsourcecode
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 2026-08-01 12:19 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 2026-08-01 12:19 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-01 12:19 UTCEverything below is measured over the latest 2 public posts (spanning ~4877 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 1
Used together with
Top of the latest posts
I can not underline it enough. You are learning? (I am always learning) You are new to this technology/library/tool? Go read the source code. It will teach SOOO MUCH. I still love reading #django source code, it is mostly very readable. Any
Often I have to remind myself that if I don't like an app and it happens to be #OpenSource and #FLOSS then #logic dictates that you can't complain, you have to do something instead. Be a #doer, sort of like the situation expects you to do s
#readsourcecode across platforms
every network with a public tag surfaceFollow #readsourcecode straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/readsourcecode