Executive Summary
We analyzed 9 nlp communities listed on Hive Index to understand where people gather, what these groups offer, and which communities attract the most interest.
The big picture: In this smaller sample, nlp communities are broad and fragmented, with many small groups and a few very large outliers.
Source: Hive Index community database · Updated 2026-04-28
- Communities
- 9
- Platforms
- 6
- Avg members
- 69K
- Median members
- 46K
Where NLP Communities Are Hosted
- Reddit: 3 communities (33%)
- Discourse: 2 communities (22%)
- Discord: 1 communities (11%)
- Slack: 1 communities (11%)
- Github: 1 communities (11%)
- Independent Platforms: 1 communities (11%)
- 3(33%)
Reddit - 2(22%)Discourse
- 1(11%)
Discord - 1(11%)Slack
- 1(11%)
Github - 1(11%)
Independent Platforms
Format mix
- 6(67%)Forum / feed-based
- 2(22%)Chat communities
- 1(11%)Other platforms
Forum / feed-based is most common (67%), but chat communities is also well represented (22%).
Reddit leads (33% of listings).
Audience Size & Access
Community size
- Tiny: 0 communities (0%)
- Small: 0 communities (0%)
- Medium: 1 communities (11%)
- Large: 0 communities (0%)
- Huge: 2 communities (22%)
- Massive: 1 communities (11%)
- Gigantic: 0 communities (0%)
- 0(0%)Tiny<20 members
- 0(0%)Small20-100 members
- 1(11%)Medium100-1,000 members
- 0(0%)Large1,000-10,000 members
- 2(22%)Huge10,000-100,000 members
- 1(11%)Massive100,000-1M members
- 0(0%)Gigantic1M+ members
5 communities have unknown member counts.
Free vs paid
- Free to join: 9 communities (100%)
- Paid or apply-to-join: 0 communities (0%)
The average is much higher than the median (69K vs 46K), which usually means a few large groups are pulling the average up.
How NLP Differs From Other Categories
NLP is more free-to-join, and larger, compared with typical Hive Index topics.
| Metric | NLP | Hive Index average |
|---|---|---|
| Free to join | 100% | 85% |
| Median members | 46K | 24K |
| Average members | 69K | 652K |
| Paid or apply-to-join | 0% | 15% |
| Live chat | 22% | 40% |
| Discord share | 11% | 16% |
Feature Mix
Common features appear in at least 15% of listings.
Common Features
- Forum: 7 communities (78%)
- Online/Offline Events: 4 communities (44%)
- Job Board: 2 communities (22%)
- Live Chat: 2 communities (22%)
- 78%Forum
- 44%Online/Offline Events
- 22%Job Board
- 22%Live Chat
Niche Features
- Tools: 1 communities (11%)
- 11%Tools
Forum appears on 78% of listings.
What Visitors Click
- Outbound clicks / mo
- 4
Platform supply vs. clicks
| Platform | Communities | Share of communities | Outbound clicks | Share of clicks |
|---|---|---|---|---|
| 3 | 33% | 1 | 25% | |
| Discourse | 2 | 22% | 2 | 50% |
| Slack | 1 | 11% | 1 | 25% |
Share is calculated within this topic.
Discourse gets 50% of clicks but only 22% of listings, so visitors click it more than you'd expect from supply alone.
Most-clicked formats
- 3(75%)Forum / feed-based
- 1(25%)Chat communities
Most-clicked features
- 3(75%)Forum
- 2(50%)Job Board
- 2(50%)Online/Offline Events
- 1(25%)Live Chat
Top-clicked listings
- 2(50%)Hugging Face Discuss
- 1(25%)r/LanguageTechnology
- 1(25%)Merlinn Community
Most clicks go to forum / feed-based and chat communities communities.
Trends
Founded year
- 1962: 1 communities (14%)
- 2010: 1 communities (14%)
- 2011: 1 communities (14%)
- 2016: 1 communities (14%)
- 2018: 1 communities (14%)
- 2021: 1 communities (14%)
- 2023: 1 communities (14%)
2 communities have no founding year on file.
Most listed groups were founded around 1962.
Methodology & FAQ
Methodology
This report uses communities in the Hive Index database tagged as NLP. We exclude removed or suppressed listings. Member counts, traffic, features, reviews, and ratings may vary by source and are updated periodically.
- •We only have a handful of listings so far, so treat these numbers as directional.
- •Last updated 2026-04-28
