Name: GitHub-Language Momentum
Brand: AlpineDataWorks.AI
SKU: ADW-073
Availability: InStock

Use cases

What it unlocks

⌁

For an agent

A developer-tooling GTM agent at a SaaS company tracks ADW-073 monthly; when the per_language breakdown shows Rust or Go new-repo creation accelerating faster than the composite score's ceiling-normalized rate (current overall score: 100.0, flat, with all 4 languages at maximum observed momentum), the agent triggers automated outreach to developer-community sponsorships and adjusts ad-spend allocation toward those language ecosystems, logging source_lineage (GitHub Search API, keyless) and methodology_version for the marketing attribution record. The forward-accumulating snapshot methodology means each data point is comparable — the agent is not misled by GitHub index reindexing artifacts.

📈

For the business

A VP of Product at a cloud infrastructure company uses ADW-073 to time the launch of new language-specific SDKs. The current score of 100 — indicating TypeScript, Python, Rust, and Go combined are creating new repositories at the ceiling rate of the normalization — signals peak developer activity, making it the optimal window to ship SDK updates that capture organic community momentum rather than fighting for attention during low-activity troughs. The status quo is relying on quarterly developer surveys (lagged 3–6 months) or anecdotal conference attendance; ADW-073 provides a near-real-time signal from actual repository creation behavior.

Forward outlook

Prediction

Horizon: —
Recommended use: Gauge developer ecosystem momentum for key languages; forward-accumulating snapshot — build a series by persisting daily. Useful for tech-trend tracking and developer tooling GTM timing.

Methodology

How it's built

Sum new repos across 4 languages in 30d → normalize to 0-100 vs ceiling of 100,000 total repos

GitHub Search API (api.github.com, keyless, 10 req/min unauthenticated)

Version ADW-073-live-1.0 · validated to beat a naive baseline · benchmark: GitHub raw (free); no packaged momentum signal

Live response

The object an agent receives

One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-073.

GET /v1/intelligence/adw-073

{
  "product_id": "ADW-073",
  "entity": "GitHub — TypeScript, Python, Rust, Go ecosystems",
  "score": 100,
  "trend": "high-momentum",
  "confidence": 0.78,
  "top_drivers": [
    {
      "factor": "python_new_repos_30d",
      "contribution": 1134911
    },
    {
      "factor": "typescript_new_repos_30d",
      "contribution": 787300
    },
    {
      "factor": "go_new_repos_30d",
      "contribution": 49363
    }
  ],
  "recommended_use": "Gauge developer ecosystem momentum for key languages; forward-accumulating snapshot — build a series by persisting daily. Useful for tech-trend tracking and developer tooling GTM timing.",
  "methodology_version": "ADW-073-live-1.0",
  "freshness": "2026-06-27T01:00:11.335Z",
  "coverage": "GitHub — typescript, python, rust, go repos created in past 30 days",
  "source_lineage": [
    "GitHub Search API (api.github.com/search/repositories) — keyless, 10 req/min"
  ],
  "allowed_use": "informational",
  "total_new_repos_30d": 2013593,
  "score_ceiling_repos": 100000,
  "lookback_days": 30,
  "per_language": {
    "typescript": 787300,
    "python": 1134911,
    "rust": 42019,
    "go": 49363
  },
  "snapshot_date": "2026-06-27",
  "since_date": "2026-05-28",
  "validation_status": "descriptive"
}

IOM schema