LEADIY

Technology demand, one evidence question at a time.

Five canonical pages answer how often a selected technology appeared in the same verified opportunity sample. Every count keeps its denominator, dates, suppression rule, license and machine-readable JSON attached.

Counting
multi-label
Threshold
Publish at n≥5
Scope
Imported vacancy opportunities
License
CC BY 4.0
Method
Audit every rule

Published technology datasets

Technology labels overlap. A count records incidence in the sample, never exclusive market share.

  1. Drupalhttps://leadiy.co/data/drupal/#dataset 297% Open dataset
  2. Reacthttps://leadiy.co/data/react/#dataset 12630.6% Open dataset
  3. Next.jshttps://leadiy.co/data/nextjs/#dataset 13532.8% Open dataset
  4. Pythonhttps://leadiy.co/data/python/#dataset 6816.5% Open dataset
  5. AI / LLMhttps://leadiy.co/data/ai-llm/#dataset 15838.3% Open dataset

Use the narrowest defensible claim.

Quote the technology count, denominator, edition, observed-through date and verification timestamp together. Treat engagement and budget tables as edition-wide context only.

Read the methodologyInspect Hiring Pulse