GitHub & Engineering

Track engineering activity, open source engagement, and repository health across millions of companies with public GitHub presence.

Overview

GitHub signals surface engineering activity patterns—what companies are building, how fast they're growing, and where they're investing technically.

We crawl public GitHub activity and map organizations to company domains. We track repository-level metrics (stars, forks, commits) over 30/60/180-day windows. Signals fire when growth exceeds thresholds (>20% star growth in 90 days) or when patterns indicate strategic investment (new AI/ML repos, infrastructure tooling, platform ecosystem plays). Each signal aggregates metrics across the company's full GitHub portfolio, not just individual repos.

Available Subtypes

SignalSubtype EnumDescription
Rapid GrowthgithubRapidGrowthRepository experiencing fast star/fork growth (>20% in 90 days)
High AdoptiongithubHighAdoptionHigh fork ratio indicates developers actively building on this project
New Project TractiongithubNewProjectTractionNew repository gaining significant early traction
Portfolio MomentumgithubPortfolioMomentumCompany's GitHub portfolio shows strong overall engineering velocity
Major OSS PlayergithubMajorOSSPlayerCompany maintains flagship repositories (10k+ stars)
Enterprise SignalgithubEnterpriseSignalSignals of enterprise-grade development (security, compliance, scale)
Platform EcosystemgithubPlatformEcosystemCompany building a developer platform/ecosystem
AI/ML InvestmentgithubAIMLInvestmentActive investment in AI/ML repositories and tooling
Infrastructure InvestmentgithubInfraInvestmentInvestment in infrastructure, DevOps, and cloud tooling
Developer ToolinggithubDeveloperToolingCompany maintains developer tools or SDKs
Open Source InvestmentgithubOpenSourceInvestmentInvestment in open source projects

Response Fields

Core Signal Fields

FieldTypeExampleDescription
signal_idstring (UUID)"a1b2c3d4-e5f6-7890-abcd-ef1234567890"Unique identifier for this signal
signal_typestring"github-initiative"Signal category
signal_subtypestring"githubAIMLInvestment"Specific subtype enum
detected_atstring (ISO 8601)"2026-01-06T14:22:31.123456Z"Timestamp when signal was detected
batch_idstring"gh-20260106-abc123"Batch identifier for this signal run
associationstring"company"Association level (always "company" for this signal)

Company Fields

FieldTypeExampleDescription
company.namestring"Stripe"Company name
company.domainstring"stripe.com"Company domain
company.linkedin_urlstring / nullnullLinkedIn company URL
company.industriesarray[string]["Financial Services", "Technology"]Industry classifications
company.descriptionstring"Stripe is a financial infrastructure platform..."Company description

Data Fields

FieldTypeExampleDescription
data.summarystring"Stripe launches AI agent toolkit for payments"Short signal headline
data.detailstring"The stripe-agent-toolkit repository has grown 42%..."Supporting detail with context
data.relevancefloat (0.0-1.0)0.83Business relevance score
data.confidencestring"high"Confidence level: high, medium, low
data.sentimentstring"positive"Sentiment: positive, neutral, negative
data.referenced_reposarray[string]["stripe-agent-toolkit"]Repositories referenced in the signal
data.technologies_mentionedarray[string]["Python", "LLM", "AI Agents"]Technologies mentioned in analysis

Portfolio Metrics

FieldTypeExampleDescription
data.portfolio_metrics.repository_countinteger40Total repositories in portfolio
data.portfolio_metrics.growth.stars_pct.30dfloat0.08Star growth percentage over 30 days
data.portfolio_metrics.growth.stars_pct.60dfloat0.13Star growth percentage over 60 days
data.portfolio_metrics.growth.stars_pct.180dfloat0.31Star growth percentage over 180 days
data.portfolio_metrics.growth.forks_pct.30dfloat0.06Fork growth percentage over 30 days
data.portfolio_metrics.growth.forks_pct.60dfloat0.11Fork growth percentage over 60 days
data.portfolio_metrics.growth.forks_pct.180dfloat0.29Fork growth percentage over 180 days
data.portfolio_metrics.velocity.avg_stars_per_repo_30dfloat34.2Average stars gained per repo in 30 days
data.portfolio_metrics.concentration.top_3_star_sharefloat0.47Share of total stars held by top 3 repos

Top Repositories

Each entry in data.top_repositories[] contains:

FieldTypeExampleDescription
namestring"stripe-agent-toolkit"Repository name
full_namestring"stripe/stripe-agent-toolkit"Full repository path
urlstring"https://github.com/stripe/stripe-agent-toolkit"GitHub URL
descriptionstring"Python toolkit for building Stripe AI agents"Repository description
first_seen_atstring (ISO 8601)"2024-11-11T17:13:41Z"When repository was first detected
current.starsinteger1184Current star count
current.forksinteger181Current fork count
current.watchersinteger1184Current watcher count
growth_pct.stars.30dfloat0.42Star growth percentage over 30 days
growth_pct.stars.60dfloat0.67Star growth percentage over 60 days
growth_pct.stars.180dfloat / nullnullStar growth percentage over 180 days (null if repo too new)
growth_pct.forks.30dfloat0.31Fork growth percentage over 30 days
growth_pct.forks.60dfloat0.52Fork growth percentage over 60 days
growth_pct.forks.180dfloat / nullnullFork growth percentage over 180 days (null if repo too new)
readme.textstring"Build AI-powered payment experiences..."README content (truncated)
readme.source_urlstring"https://raw.githubusercontent.com/stripe/..."README source URL
Full JSON Response Example
{
  "signal_id": "ea7688a5-d25c-475e-a60f-e84204b8c0b2",
  "signal_type": "github-initiative",
  "signal_subtype": "githubAIMLInvestment",
  "detected_at": "2026-01-21T19:38:10.067Z",
  "batch_id": "gh-20260121-89aa726e-c725-454d-8afc-4d5fb1e1984c",
  "association": "company",
  "company": {
    "name": "0din",
    "domain": "0din.ai",
    "industries": [
      "AI Security"
    ]
  },
  "data": {
    "summary": "0din creates scoring framework to quantify AI jailbreak risks",
    "detail": "The 0din-JEF repository introduces a Jailbreak Evaluation Framework to score LLM vulnerabilities, similar to CVSS for software exploits. This signals a deep investment in AI model security.",
    "relevance": 0.82,
    "confidence": "high",
    "sentiment": "positive",
    "referenced_repos": [
      "0din-JEF",
      "sidekick"
    ],
    "technologies_mentioned": [
      "Python",
      "LLM",
      "AI Security"
    ],
    "portfolio_metrics": {
      "repository_count": 3,
      "growth": {
        "stars_pct": {
          "30d": 0.4,
          "60d": 0.44,
          "180d": 1.57
        },
        "forks_pct": {
          "30d": 0.83,
          "60d": 0.83,
          "180d": 4.5
        }
      },
      "velocity": {
        "avg_stars_per_repo_30d": 5.7
      }
    },
    "top_repositories": [
      {
        "name": "0Din-Curated-Monthly-White-Papers",
        "full_name": "0din-ai/0Din-Curated-Monthly-White-Papers",
        "url": "https://github.com/0din-ai/0Din-Curated-Monthly-White-Papers",
        "description": "Curated collection of monthly white papers focused on LLM attack and defenses.",
        "current": {
          "stars": 26,
          "forks": 2,
          "watchers": 7
        },
        "growth_pct": {
          "stars": {
            "30d": 0,
            "60d": 0.04,
            "180d": 0.13
          }
        }
      }
    ]
  }
}

API Usage

Generate Content API

{
  "enabledInsights": ["githubRapidGrowth", "githubHighAdoption", "githubInfraInvestment"],
  "disabledInsights": []
}

Generate Insights API

{
  "contactCompanyUrl": "stripe.com",
  "insightSubtype": "githubAIMLInvestment"
}

Example Output

"Noticed Stripe's engineering team just launched an AI agent toolkit—their stripe-agent-toolkit repo has grown 42% in the last month with over 1,100 stars. With that level of investment in AI-powered payment experiences, ensuring your AI integrations are reliable and well-monitored becomes critical. Would love to share how we help teams building AI-first products."

Coverage

  • Refresh: Weekly
  • Coverage: 1-25% of companies (requires public GitHub presence)
  • Best for: Developer tools, DevOps, technical recruiting, infrastructure sales