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Data Analysis · AILANTA signal archive

Where technology evidence becomes market evidence

A stricter evidence audit measures the distance from research and building activity to products, operators, demand, and capital.

2026-08-1436 days964 publicationsFrozen analysis
Main finding

Building activity is abundant. Independent market proof is much thinner.

77.6% of active signal lines contain building evidence, versus 40.8% with strict capital evidence. The archive sees technology formation earlier and more consistently than commercial confirmation.

49Active published lines
964Unique supporting publications
20Normalized sources
1009Evidence links
01

The evidence ladder

Each layer uses strict text and source rules audited independently from production lifecycle tags.

Research26 lines · 53.1%191 publications across 6 sources
Building38 lines · 77.6%312 publications across 16 sources
Product24 lines · 49%62 publications across 9 sources
Operator21 lines · 42.9%72 publications across 13 sources
Demand22 lines · 44.9%93 publications across 9 sources
Capital20 lines · 40.8%45 publications across 7 sources
02

Evidence by market stage

Number of active canonical lines with at least one qualifying publication in each layer.

StageResearchBuildingProductOperatorDemandCapital
Detected 9 lines022022
Emerging 21 lines9176668
Market Forming 15 lines13151212107
Established 4 lines444343
03

Where the evidence comes from

Unique publications used by active signal observations in the study window.

X manual132
HF Daily Papers131
Reddit125
GitHub Growth114
Hacker News103
TechCrunch75
bluesky_global59
36Kr47
Hugging Face33
AWS24
Indie Hackers20
producthunt_global20
04

Implication for AILANTA

Do not mistake supply for demand

Repositories, papers, and launches prove that people can build a category. They do not prove budgets, adoption, or durable pain.

Preserve the early advantage

The technology-heavy mix is useful for weak-signal detection. The answer is a clearer evidence ladder, not suppressing early technical observations.

Target the missing layers

GitHub Issues, operator case studies, procurement signals, and explicit customer requests can improve market confirmation more efficiently than adding another general news feed.