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How to Track AI Company Events

Distinguish real AI progress from marketing noise using event tracking.

1

Check Event Count

Event counts provide a quick snapshot of company activity. Sector HQ tracks two time windows:

📅 7-Day Events

Shows recent activity and current momentum. Most important metric for tracking what's happening now.

30+ events: Extremely active

15-30 events: Very active

10-15 events: Active

5-10 events: Moderate activity

Below 5: Low activity

📆 30-Day Events

Shows sustained activity over time. Indicates consistent shipping vs one-time bursts.

100+ events: Consistently very active

50-100 events: Solid activity level

25-50 events: Moderate sustained activity

Below 25: Sporadic activity

Where to find event counts: Every company page displays event counts prominently in the header section and activity metrics.

2

Evaluate Event Quality

Not all events are equal. Quality matters more than quantity.

✅ High-Quality Events

These indicate real technical progress:

  • GitHub releases: Actual code with version numbers
  • arXiv papers: Research publications with technical details
  • Product demos: Live demonstrations, not just announcements
  • Open source commits: Public code contributions
  • Benchmark results: Performance numbers on standard tests
  • API documentation: Technical docs for developers

❌ Low-Quality Events

These are often just marketing noise:

  • Vague press releases: "Exploring AI solutions"
  • Executive quotes: General statements about AI strategy
  • Coming soon announcements: No actual product
  • Generic partnerships: "Partnering to explore AI"
  • Repackaged news: Old announcements republished
  • Marketing blog posts: No technical substance

⚠️ Quality Filter

Sector HQ automatically filters low-quality events. The event counts you see have already been quality-filtered, so you're seeing meaningful activity only.

3

Monitor Event Timeline

Event distribution patterns reveal more than total counts.

✅ Good Pattern: Consistent Activity

Events spread evenly across weeks. Shows sustainable development pace.

Week 1: 12 events | Week 2: 14 events | Week 3: 11 events | Week 4: 13 events

→ Indicates established team with regular shipping cadence

⚠️ Concerning Pattern: Sporadic Bursts

Long periods of silence followed by sudden activity spikes.

Week 1: 2 events | Week 2: 1 event | Week 3: 25 events | Week 4: 0 events

→ May indicate one-time marketing push rather than sustained progress

❌ Bad Pattern: Declining Activity

Decreasing event counts week over week. Losing momentum.

Week 1: 18 events | Week 2: 12 events | Week 3: 7 events | Week 4: 3 events

→ Warning sign: team shrinking, priorities shifting, or product stalling

Where to see timelines: Company pages include event timelines showing distribution and recent activity patterns.

4

Track Momentum Changes

Changes in event velocity reveal company trajectory.

📈

Accelerating (Positive)

Current 7-day count higher than previous periods. Growing momentum.

Example: Was averaging 8 events/week, now at 15 events/week → Team scaling up or product gaining traction

➡️

Stable (Neutral)

Consistent event counts across periods. Steady state.

Example: Averaging 10-12 events/week for 2+ months → Established pace, reliable cadence

📉

Decelerating (Warning)

Current 7-day count lower than previous periods. Losing steam.

Example: Was averaging 20 events/week, now at 8 events/week → Possible funding issues, team turnover, or strategic pivot