⚡ GitHub AI & Breakout Open-Source Star Velocity Radar

Real-time intelligence on hyper-growth AI/LLM repositories, breakout open-source frameworks, star velocity, forks, and venture-backed developer ecosystems. Built for venture capital investors, tech headhunters, and developer evangelists.

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💡 Why Choose This Actor?

Open-source traction is the primary predictor of successful developer-first AI startups (Docker, Supabase, LangChain, Hugging Face). Monitoring star velocity gives VC investors and tech recruiters an unfair early advantage:

Feature / Metric	Commercial Dev Analytics (Cauldron / OSS Insight)	Manual GitHub Exploration	GitHub AI Star Velocity Radar
Monthly Pricing	$200 – $600 / month (Locked subscription)	$0 but hours of tedious manual browsing	Pay-Per-Event ($0.0030 / repo) (Zero commitment)
Data Freshness	Daily batch digest	Real-time	Real-time direct GitHub Search API sync
Topic & Language Filters	Fixed taxonomy	Limited UI search	Full query support (AI, LLM, RAG, Rust, Python)
Momentum Tier Classification	None	Manual evaluation	Automated Star Velocity & Traction Tiers
Free Trial	Sales demo required	None	$5.00 Free Trial Credit (Up to 1,600 repos free)

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🎯 Target Audiences & Use Cases

1. Venture Capital (VC) & Angel Investors:
   • Spot viral open-source repositories before Series A funding rounds.
   • Map competitor mindshare across open-source AI frameworks.
2. Tech Recruiters & Talent Partners:
   • Identify top contributors and maintainers of rapidly scaling open-source tools.
3. Developer Relations & B2B Tooling Sales:
   • Find popular repos with permissive licenses (MIT, Apache 2.0) for integration partnerships.

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📥 Input Parameters

Parameter	Type	Default	Description
topic	String	"ai"	GitHub topic or keyword (e.g. ai, llm, agent, rag, deepseek, robotics).
minStars	Integer	100	Minimum star count threshold to filter out inactive repos.
language	Select	"All"	Filter by language: Python, TypeScript, Rust, Go, C++, All.
sortBy	Select	"stars"	Sort metric: stars (popularity) or updated (recent development).
maxItems	Integer	50	Maximum number of repository records to return (up to 300).

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📤 Output Data Format (JSON Sample)

[
  {
    "repo_id": 89412384,
    "name": "deepseek-v4-reasoning",
    "full_name": "deepseek-ai/deepseek-v4-reasoning",
    "owner": "deepseek-ai",
    "stars": 42150,
    "forks": 5890,
    "open_issues": 312,
    "language": "Python",
    "license": "MIT",
    "momentum_tier": "🚀 Viral Breakout (Hyper-Growth)",
    "description": "Open-source reproduction of state-of-the-art reasoning architectures with efficient latent token caching.",
    "repo_url": "https://github.com/deepseek-ai/deepseek-v4-reasoning",
    "created_at": "2024-05-10T12:00:00Z",
    "pushed_at": "2026-09-08T05:20:00Z",
    "scraped_at": "2026-09-08T05:55:00+00:00"
  }
]

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🐍 1-Click Python Integration

from apify_client import ApifyClient

# Initialize client with your Apify API Token
client = ApifyClient("YOUR_APIFY_TOKEN")

# Run GitHub AI Star Velocity Radar
run = client.actor("robinworld/github-ai-trending-repos-radar").call(
    run_input={
        "topic": "llm",
        "minStars": 500,
        "language": "Python",
        "maxItems": 25
    }
)

# Fetch repositories from the default dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"[{item['momentum_tier']}] {item['full_name']} (⭐ {item['stars']:,})")
    print(f"  👉 Lang: {item['language']} | License: {item['license']}")
    print(f"  🔗 GitHub: {item['repo_url']}")

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❓ Frequently Asked Questions (FAQ)

Q: How is the momentum tier determined?

Repos are classified based on total stars and velocity: Supernova (50k+ stars), Viral Breakout (10k+ stars), and Rising Star (2k+ stars).

Q: Does this require my personal GitHub token?

No. This Actor connects through optimized anonymous GitHub endpoints and handles rate-limits automatically.