#Litestream
Live, measured metrics for the hashtag #Litestream from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #litestream
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-03 04:28 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-03 04:28 UTCNo related tags with measured usage found for #litestream.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-03 04:28 UTCEverything below is measured over the latest 40 public posts (spanning ~11206 hours).
Posting hours (UTC) — busiest: 18:00
Languages: English (27) · Indonesian (7) · American English (3) · Chinese (Taiwan) (2) · French (1)
Avg boosts / post: 0.4
Top of the latest posts
@kevin PocketID doesn't seem to have HA implemented at all: https://github.com/pocket-id/pocket-id/issues/1351 you can setup most services with a local login as well (so I typically have a local admin account in case something goes south wi
And in a twist of design, here's doing durable execution directly with #sqlite and an event bus framework in #golang called #watermill. So just in case you all in go, this may be the way to go instead of #litestream. 😅 https://threedots.te
🌘 在生產環境中使用內建 Litestream 複製的 SQLite – OpenRun ➤ 簡化 SQLite 的生產級部署與自動化備份 ✤ https://openrun.dev/blog/litestream/ 本文介紹自託管 GitOps 平臺 OpenRun 如何透過內建的 Litestream 支援,實現生產環境中 SQLite 資料庫的自動化、持續性複製與災難復原。開發人員無需手動配置 Litestream 或修改容器映像檔,OpenRun 會在單節點(Doc
#litestream across platforms
every network with a public tag surfaceFollow #litestream 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/litestream