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CLUSTER RAGAS-CARNATIC-WEB · 4 ENTRIES · EARLIEST ENTRY 2025-09-05

Carnatic raga education apps

This cluster comprises web and mobile tools focused on Indian classical (especially Carnatic) ragas, covering identification from audio via machine learning, emotional/mood education, and structured reference databases with melakarta/jharak classification. The cluster's dated history is too thin to read a shape from — only one dated entry exists before the index start, so it predates the index or most members are undated. Traction leaders by activity signal are RagaSense, ragamind-emotional-resonance, and All-in-one-playlist-, all showing zero stars, indicating no standout leader yet.

Entry timeline

ENTRY TIMELINE

SEP 2025: 1AUG 2026: 1SEP 2026: 2
SEP 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 · 2 ai-built · 2 unlabelled

Operator · 2 hobby · 1 open source · 1 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. 01ragamind-emotional-resonance0★1 mo—ai-builthobbyWeb app that teaches users the emotional qualities of Carnatic ragas and their associated moods.
  2. 02RagaSense0★1 moliveWeb app that identifies Indian classical music ragas from uploaded audio using machine learning.
  3. 03All-in-one-playlist-0★2 moliveai-builthobbyWeb app for browsing and playing curated playlists of classic Hindi songs.
  4. 04RaagaDB0★7 mostaleliveopen sourceApp providing a comprehensive reference database of Carnatic ragas, categorizing them into melakarta and jharak types with unique identifier features for each scale.

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.