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CLUSTER CLAIM-CLAIMS-COLLECTS · 3 ENTRIES · EARLIEST ENTRY 2026-10-07

AI travel insurance pools

This cluster consists of three identical ideas for a travel insurance pool that pools premiums, uses AI to recommend claim decisions, and lets members vote on escalated claims. Its dated history is too thin to read a shape from, as there are no dated entries before the index start, suggesting it predates the index or its members are undated. Traction leaders are all at 0 stars, with travelpool-1-, travelpool-hackthon-, and travelpool tied.

Entry timeline

ENTRY TIMELINE

OCT 2026: 3
OCT 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 · 3 unlabelled

Operator · 3 hobby

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01travelpool-1-0★15 days—hobbyTravel insurance pool that collects premiums from travelers, uses AI to recommend claim decisions, and lets members vote on escalated claims.
  2. 02travelpool-hackthon-0★15 days—hobbyTravel insurance pool that collects premiums from travelers, uses AI to recommend claim decisions, and lets members vote on escalated claims.
  3. 03travelpool0★15 dayslivehobbyTravel insurance pool that collects premiums from travelers, uses AI to recommend claim decisions, and lets members vote on escalated claims.

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.