#ai4se

Live, measured metrics for the hashtag #ai4se from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #ai4se

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.

$1,129.43/ year · 5-character #name
Claim #ai4se — $1,129.43/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
1.8
Avg reactions / post
Mastodon · last 4
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-04 18:05 UTC
0
09-28
0
09-29
0
09-30
0
10-01
0
10-02
0
10-03
0
10-04

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-10-04 18:05 UTC
#AI4Sentinel2
0 uses · 0 accounts / 7d
#ai4sec
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-04 18:05 UTC

Everything below is measured over the latest 4 public posts (spanning ~25676 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 3.8

Top of the latest posts

  • Super happy and very proud: JetBrains and TU Delft are launching an exciting five year collaboration: the AI for Software Engineering Lab (AI4SE). There are five research tracks in this program: - Validating (AI) generated cocde - Optimizin

    Arie van Deursen 🇪🇺🇳🇱@[email protected]♥ 4↻ 112023-10-16 14:15 UTCView post →

  • Currently working on a survey in the area of #AI4SE, I am seriously considering a "hall of shame" of the worst papers we found. It's truly unbelievable what kind of rubbish is published at some venues. The recipe seems: Take some random inp

    Eric Bodden@[email protected]♥ 2↻ 22023-06-30 12:00 UTCView post →

  • Today's #ASE2023 keynote on "resolving code review comments with ML". Presented by Danny Tarlow (Google Deepmind). Blog: https://blog.research.google/2023/05/resolving-code-review-comments-with-ml.html Based on the DIDACT "Large sequence mo

    Arie van Deursen 🇪🇺🇳🇱@[email protected]♥ 1↻ 22023-09-13 07:41 UTCView post →

#ai4se across platforms

every network with a public tag surface

Follow #ai4se 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/ai4se