689 AI communities surface on Luma — 67 with strong evidence, and a long tail of 336 barely-indexed local groups

Asked:
Can you do a deep search on Luma to identify all the AI communities that exist?

A discovery census as of September 1, 2026: 36 web queries across topics, demographics, and regions surfaced thousands of candidate Luma pages; semantic filtering and name normalization retained 689 named ongoing AI/ML communities or recurring calendars, backed by 2,499 search mentions in total. A location was stated for 576 communities and a member or subscriber count for 91. Luma has no public exhaustive index, so this is broad coverage — not a guarantee of "all".

Every community found, one dot each

Dot area = search mentions (1 to 347); grouped by discovery confidence. Hover any dot for the community, its location, and evidence.
high — ≥5 source pages or ≥10 mentions (67) medium — ≥2 pages or explicit calendar title (286) emerging / lightly indexed — single or weak source (336)

Where they gather

Communities per hub, from the stated location field (576 rows carry one). Ambiguous or one-off locations are not force-geocoded.
A further 245 located communities sit outside these hubs — from Sofia to Nairobi to Kuala Lumpur's neighbours — and 113 rows state no location.

The AI Collective is the most-evidenced community by far — 347 search mentions and a stated 200k+ members worldwide. luma.com

High-confidence communities are only 10% of the census but carry 1,580 of the 2,499 total search mentions — 63% of all evidence. luma.com

The Bay Area leads every city with 83 communities, but Singapore alone hosts 34 — more than New York's 25 or London's 24. luma.com

36 explicitly global or online communities span borders, from the 30K-member Build Club to Women Defining AI's 1,000+ virtual members. lu.ma

Method and limits

  • Confidence measures discovery evidence, not quality or activity. High = at least five source pages or ten search mentions; medium = at least two source pages or an explicit community/calendar title; emerging = a single or weakly indexed source.
  • Search engines incompletely index Luma's dynamic, private, or unlisted calendars, so some real communities are missing and some appear only through event pages.
  • Source links are the best available evidence page for each named host — not always the canonical calendar; some are single event pages.
  • Unresolved fields (location, members, focus) are left blank rather than guessed.

The complete directory

CommunityLocationMembers (as stated)ConfidenceMentionsPagesSource

Data: deep-search census of Luma-hosted AI/ML communities, 689 rows retained from 36 web queries after semantic filtering and name normalization, snapshot 2026-09-01. Search mentions count query-result appearances; source pages count distinct evidence pages. Member counts are quoted verbatim where a page stated one (91 rows). Hub chart groups stated locations by city/region keywords; unmatched locations are counted as "other". Nothing was cut: all 689 rows are in the directory.

This report was generated automatically by Keenable SELECT at a user's request, from publicly available web sources linked herein. Keenable does not review, verify, or endorse its contents and makes no representation as to accuracy, completeness, or timeliness; AI-based extraction may contain errors. Nothing in this report is investment, legal, financial, or other professional advice. All trademarks and referenced content remain the property of their respective owners; no affiliation or endorsement is implied. To report an error, rights concern, or request removal: legal@keenable.ai.

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