#deeptoad
Live, measured metrics for the hashtag #deeptoad from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #deeptoad
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 2026-07-28 04:48 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 2026-07-28 04:48 UTCNo related tags with measured usage found for #deeptoad.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 04:48 UTCEverything below is measured over the latest 3 public posts (spanning ~0.1 hours).
Posting hours (UTC)
Languages: Basque (3)
Avg boosts / post: 1
Top of the latest posts
Today I realised that the oldest technology developed by me integrated into #Diaphora dates from 2009. In case you are curious, it's #DeepToad, a Python library for doing fuzzy hashing. This simplistic library calculates a set of 3 differen
Later on, I realised this technology could also be used to fuzzily compare texts to determine if they look similar, I tested this technology in #Diaphora as a mean to determine if two pseudo-codes are 'similar' by comparing the 3 fuzzy hash
I developed this technology (#DeepToad) back in the day, during my spare time, to help me cluster malware samples when I was heavily doing malware analysis, both for an antivirus company and for myself as a hobby. Basically, I used this too
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/deeptoad