#binarycodesimilarityanalysis
Live, measured metrics for the hashtag #binarycodesimilarityanalysis from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #binarycodesimilarityanalysis
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Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-27 11:55 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 2026-07-27 11:55 UTCNo related tags with measured usage found for #binarycodesimilarityanalysis.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-27 11:55 UTCEverything below is measured over the latest 3 public posts (spanning ~9550 hours).
Posting hours (UTC)
Languages: Basque (3)
Avg boosts / post: 0
Top of the latest posts
This is not at all my own idea and this is, basically, the only thing that academia researches as of today: almost every single academic paper published in the last years talking about binary diffing (or, as academia calls it "Binary Code S
It's very sad, but it's always a damn waste of time reading academic research about binary diffing or, as it's called at the academia, about binary code similarity analysis. It's either all fairytales that cannot be proved or, plainly, fals
One question regarding #bindiffing: Have you ever used a tool called #DeepBinDiff? I am not talking about "BinDiff" but rather about "DeepBinDiff". #BinaryDiffing #BinaryCodeSimilarityAnalysis #BCSA
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/binarycodesimilarityanalysis