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CLUSTER EPISODES-PLAYER-PODCAST · 4 ENTRIES · EARLIEST ENTRY 2022-10-23

AI podcast transcription players

This cluster comprises podcast players that transcribe episodes and layer on features such as chaptering, searchable/saveable excerpts, translation, and offline listening. The cluster's dated history is too thin to read a shape from, as only two dated entries exist before the index start. Traction leaders are SnipCast, Lightcast - AI Podcast Player, and Castle Player, each with 0 stars.

Entry timeline

ENTRY TIMELINE

OCT 2022: 1DEC 2022: 1JUL 2025: 1SEP 2026: 1
OCT 2022SEP 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 · 4 unlabelled

Operator · 4 unlabelled

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. 01SnipCast0★1 mo—Android podcast player that transcribes episodes, creates chapters, and exports highlight snippets to a note-taking app.
  2. 02Lightcast - AI Podcast Player0★1 molivePodcast player that transcribes episodes into text, translates them for language learners, and manages subscriptions with offline listening.
  3. 03Nota - Simple Notes0★1 yrabandonedliveMobile app that lets listeners capture timestamped, organized notes while playing audiobooks, lectures, podcasts, or documentaries without breaking their listening flow.
  4. 04Castle Player0★3 yrabandonedlivePodcast player that transcribes episodes and lets listeners search, save, and share text excerpts while listening.

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.