Find 18,000+ Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors) Leads on GitHub
GitLeads monitors GitHub stars, forks, issues, and keyword signals to surface Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors) leads who are actively building — right when they're most likely to buy your developer tool. Turn GitHub activity into pipeline.
Sample Ray Serve Dev Leads — Live from GitHub
Emails partially redacted. Sign up free to reveal contact details and start outreach.
| Developer | GitHub Stars | Repos | Location | |
|---|---|---|---|---|
Alex Chen @alexchen Open source enthusiast. Building developer tools. | ★ 2,840 | 34 | San Francisco, CA | a***@gmail.comReveal → |
Sarah K. @sarahk_dev Full-stack dev. Loves OSS and clean APIs. | ★ 1,190 | 21 | Berlin, Germany | s***@proton.meReveal → |
Marcus T. @marcust Maintainer of several popular libraries. | ★ 3,470 | 58 | Toronto, Canada | m***@outlook.comReveal → |
Priya R. @priyaR Engineer at a Series B SaaS startup. | ★ 890 | 16 | Bangalore, India | p***@gmail.comReveal → |
Jordan M. @jmdev DevRel engineer. Writes about DX and tooling. | ★ 4,120 | 47 | Austin, TX | j***@hey.comReveal → |
How GitLeads Finds Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors) Leads on GitHub
GitHub Signal Detection
We continuously index GitHub repositories tagged with Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors)-related topics. Stars, forks, new issues, and README keywords all fire signals.
Developer Profiling
Each developer's activity is scored by recency, influence (stars earned), and project relevance. You get leads ranked by likelihood to engage.
Contact Enrichment
We cross-reference public commit metadata, README contact sections, and linked social profiles to find verified email addresses.
Pipeline & CRM Export
Export leads to CSV, push to HubSpot, Salesforce, or Pipedrive, or use our REST API. Every lead includes GitHub context so your outreach is warm from the start.
Who Uses GitLeads for Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors) GitHub Leads?
- Developer tool founders — build a pipeline of warm leads before your Product Hunt launch
- DevRel teams — identify community champions and potential OSS contributors
- B2B SaaS companies — target Ray Serve Dev Leads who are actively evaluating new tools
- Recruiting agencies — source active Ray Serve Dev Leads for technical hiring
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FAQ: GitHub Leads for Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors)
How many Ray Serve Dev Leads are on GitHub?
Our index currently tracks over 18,000 Ray Serve Dev Leads with verifiable activity in the last 90 days. GitHub hosts millions of developers; GitLeads filters to the ones who are actively building and most likely to be reachable.
How does GitLeads find Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors) developer emails?
We extract emails from public commit metadata, README files, GitHub profiles, and linked social accounts. All data is publicly available and GDPR-compliant for B2B outreach under legitimate interest.
Can I filter Ray Serve Dev Leads by location, stars, or company?
Yes. GitLeads supports filtering by location (city, country), star count, follower count, company/org affiliation, repository topics, and activity recency. Build hyper-targeted lists in minutes.
How often is the Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors) developer list updated?
Our GitHub crawler runs continuously. New developers who star or fork a Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors) repository are added to your pipeline within 24 hours.
Start Finding Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors) Leads on GitHub Today
50 free leads every month. No credit card required. Export to CSV or push directly to your CRM.
Get 50 Free Ray Serve Advanced Model Serving Developer Leads (Ray Serve ray-project/ray @serve.deployment replica scaling authors, Ray Serve DeploymentHandle handle.remote await async request engineers, Ray Serve FastAPI integration ingress HTTP adapter deployment contributors, Ray Serve batching @serve.batch max_batch_size timeout seconds developers, Ray Serve pipeline composition router model ensemble graph authors, Ray Serve GPU fractional placement group resource requirement engineers, Ray Serve vLLM integration LLM engine async streaming token contributors) Leads →