#IITMadras
Live, measured metrics for the hashtag #IITMadras from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #iitmadras
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 · mas.to (Mastodon public tags API) · fetched 2026-10-23 08:02 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-23 08:02 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-23 08:02 UTCEverything below is measured over the latest 40 public posts (spanning ~8952 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (40)
Avg boosts / post: 0.4
Top of the latest posts
Excited to share our latest publication in AIP Publishing : “A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.” https://doi.org/10.1063/5.0326153 #IITMadras #PhD #
Our work at #IITMadras on long-range #Monsoon predictability, using #ComplexSystems and #NonlinearDynamics, has been featured by Indiatoday. Special thanks to Radifah Kabir for highlighting our work. 🔗 https://www.indiatoday.in/science/sto
Honoured to deliver my keynote, “Continuous and Explosive Transitions in #Thermoacoustic Systems,” at NODYCON 2026 in Rome. Grateful to Profs. Bala Balachandran & Walter Lacarbonara. Proud to see Sandra James Thomas & Ira Rai present their
#iitmadras across platforms
every network with a public tag surfaceFollow #iitmadras 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/iitmadras