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Trend detail

AI Machine LearningAI and automationBreakout94% confidenceBreakoutSpikingRecurring

Large Language Models

Rank #2 with 16 captured signals across 5 sources.

Large Language Models is a breakout AI Machine Learning trend validated by 16 signals across 5 sources.

Open source item from npmCompare with AI AgentsBrowse AI and automationBrowse AI Machine Learning
Total score190.8
Movement+2
Momentum+41.0%
First seen12 Mar 2026

History

Score trajectory

Dashed line shows a medium-confidence projection using Holt trend.

Score

Component breakdown

Market footprint

Platform signals

Live provider metricEstimated fallback metric
Google SearchEstimated
42.9K/mo

Monthly Google searches

monthly · 35% confidence · Updated 14 Mar 2026
Google SearchEstimated
49/100

Google search interest

12 months · 35% confidence · Updated 14 Mar 2026
YouTubeEstimated
82.9K

YouTube views

sampled videos · 35% confidence · Updated 14 Mar 2026Open source
YouTubeEstimated
554

YouTube videos

sampled videos · 35% confidence · Updated 14 Mar 2026Open source
TiktokEstimated
522.9K

TikTok views

search footprint · 30% confidence · Updated 14 Mar 2026Open source
TiktokEstimated
23.0K

TikTok videos

search footprint · 30% confidence · Updated 14 Mar 2026Open source

Why now

Current rationale

Signal 1Developer signals are leading the move (111.3 score).
Signal 2Cross-source confirmation is present across 5 sources.
Signal 3The trend improved by 2 ranking positions since the previous run.

Canonicalization

Tracked aliases

large language models
Large Language Models

Quality

Potential duplicates

No close duplicates flaggedThis trend currently looks distinct from the rest of the published set.

Opportunity

What you can do with it

Composite 59%Discovery 75% · SEO 37% · Content 25% · Product 74% · Investment 84%
Rising
Product opportunity: builder demand is leading this trend (111 developer score across 5 sources)
Discovery angle: early-stage movement is emerging with enough velocity to merit monitoring now (breakout)
Investment signal: multi-source validation with real momentum (5 sources, breakout)

Prediction

Breakout outlook

Rising · 50% confidenceScore accelerating (+55.5/run) · Multi-source coverage (5 sources) · High base score (190.8) · Recurring pattern detected (2 reappearances)
Next 5 runs · Medium confidence · Holt trendHolt trend · 16.4% backtest error
163.6 to 178.7 projected
Recurring2 reappearances after gaps averaging 2.0 runs
91% confidence

Sources

What is driving this rank

PyPI and npm account for 64.6% of this score.

PyPI5 signals · 39.6% est. score shareDeveloper 69.6 · Diversity 6.0Latest healthy fetch kept 18 of 18 items
Healthy142m old · 14 Mar 2026, 00:03 · 75.6 pts · 14 Mar 2026, 00:01
npm3 signals · 25.0% est. score shareDeveloper 41.7 · Diversity 6.0Latest healthy fetch kept 45 of 45 items
Healthy143m old · 14 Mar 2026, 00:03 · 47.7 pts · 11 Mar 2026, 10:11
arXiv2 signals · 9.0% est. score shareKnowledge 11.1 · Diversity 6.0Latest healthy fetch kept 45 of 45 items
Healthy143m old · 14 Mar 2026, 00:03 · 17.1 pts · 12 Mar 2026, 17:29
DEV Community1 signals · 9.0% est. score shareSocial 11.1 · Diversity 6.0Latest healthy fetch kept 37 of 37 items
Healthy143m old · 14 Mar 2026, 00:03 · 17.1 pts · 6 Mar 2026, 23:04
YouTube1 signals · 9.0% est. score shareSocial 11.1 · Diversity 6.0Latest successful fetch used fallback dataLatest successful fetch used fallback sample data.
Degraded142m old · 14 Mar 2026, 00:03 · 17.1 pts · 14 Mar 2026, 00:03

Audience

Who and where this seems relevant

DeveloperAudience segment
10 signals
Language: ENLanguage
8 signals
FounderAudience segment
2 signals
ResearchAudience segment
2 signals
B2CMarket segment
2 signals
ConsumerAudience segment
1 signals
Us MarketMarket segment
1 signals

Related

Adjacent trends

Geo

Where it is showing up

No location signals yet.

Evidence

Recent signals