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CLUSTER DASHBOARD-NETFLIX-INTERACTIVE · 4 ENTRIES · EARLIEST ENTRY 2026-08-21

Streaming catalog analytics dashboards

This cluster comprises web dashboards for exploring streaming content libraries (Netflix, Prime Video, Disney+), featuring interactive charts, filtering by genre/country/year, and SQL querying. The dated history is too thin to read a shape from—only one dated entry exists before the index start, so the cluster predates the index or its members are largely undated. On traction, netflix-eda-dashboard leads with 1 star, while the other two members have 0 stars.

Entry timeline

ENTRY TIMELINE

JUN 2026: 1AUG 2026: 1SEP 2026: 1OCT 2026: 1
JUN 2026OCT 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 hand-coded · 3 unlabelled

Operator · 4 hobby

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. 01flickr.io0★13 days—hobbyData analytics dashboard for exploring Netflix, Prime Video, and Disney+ catalogs with interactive charts and title search.
  2. 02netflix-eda-dashboard1★2 molivehobbyDashboard that lets you explore Netflix titles by genre, country, and year, with interactive SQL querying.
  3. 03Netflix-streamlit-dashboard0★1 mo—hand-codedhobbyWeb dashboard that visualizes Netflix content trends and allows filtering by type, year, and top countries.
  4. 04Personalized-OTT-Dashboard0★3 molivehobbyA web dashboard for discovering movies, managing watchlists, and tracking streaming subscriptions.

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.