#monorepos
Live, measured metrics for the hashtag #monorepos from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #monorepos
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 2026-09-27 14:10 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 2026-09-27 14:10 UTCNo related tags with measured usage found for #monorepos.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-27 14:10 UTCEverything below is measured over the latest 29 public posts (spanning ~33345 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (28)
Avg boosts / post: 0.2
Top of the latest posts
We've created an official feed for Rush Stack, a collection of open source build tools for large scale #TypeScript #monorepos! If you use Mastodon and #NodeJS tooling, follow us to show your interest!
I have the (somewhat biased) hunch that #monorepos drive up LLM token usage, because there is so much code to look at and everything related to testing requires the LLM to understand how testing for a huge project works. Working on a backen
@marick Yes, #monorepos have advantages, but are not without downsides: * tags apply to the whole repo, which is awkward for versioning and releasing independent artefacts * carbon/money costs can be relatively high when "safe" changes, e.g
What “monorepos” means
WikipediaIn version-control systems, a monorepo or monorepository is a software-development strategy in which the code for a number of projects is stored in the same repository. This practice dates back to at least the early 2000s, when it was commonly called a shared codebase. Google, Meta, Microsoft, Uber, Airbnb, and Twitter all employ very large monorepos with varying strategies to scale build systems and version control software with a large volume of code and daily changes.
“Monorepo” on Wikipedia (CC BY-SA) →#monorepos across platforms
every network with a public tag surfaceFollow #monorepos 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/monorepos