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.
- Drupalhttps://leadiy.co/data/drupal/#dataset 419.6% Open dataset
- Reacthttps://leadiy.co/data/react/#dataset 12429% Open dataset
- Next.jshttps://leadiy.co/data/nextjs/#dataset 9321.7% Open dataset
- Pythonhttps://leadiy.co/data/python/#dataset 17140% Open dataset
- AI / LLMhttps://leadiy.co/data/ai-llm/#dataset 25559.6% 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.