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CLUSTER CONFERENCE-COUNTDOWNS-DEADLINES · 4 ENTRIES · EARLIEST ENTRY 2025-02-22

AI conference deadline countdown apps

This cluster consists of macOS menu bar apps that help researchers track AI conference submission deadlines with countdowns and favorites. The cluster's dated history is too thin to read a shape from — it predates the index or its members are undated. Among members with traction data, ai-deadlines leads with 349 stars, far ahead of DDL-Desk and deadline-widget.

Entry timeline

ENTRY TIMELINE

FEB 2025: 1SEP 2026: 3
FEB 2025SEP 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 1 ai-built · 3 unlabelled

Operator · 3 hobby · 1 commercial

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01ai-deadlines349★2 moliveai-builtcommercialDisplays countdowns for AI conference deadlines to help researchers track submission dates.
  2. 02conference-countdown0★1 molivehobbyMac menu bar app that shows AI conference paper submission deadlines and tracks selected conferences with countdowns.
  3. 03DDL-Desk1★1 mo—hobbyA macOS menu bar app that tracks academic conference deadlines, lets users favorite series, and shows countdowns.
  4. 04deadline-widget1★1 mo—hobbymacOS widget that reads email for academic deadlines, extracts due dates, and shows urgency-coded cards on the desktop.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.