Find 28,000+ Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy contributors) Leads on GitHub
GitLeads monitors GitHub stars, forks, issues, and keyword signals to surface Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy contributors) leads who are actively building — right when they're most likely to buy your developer tool. Turn GitHub activity into pipeline.
Sample Keras 3 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 Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy contributors) Leads on GitHub
GitHub Signal Detection
We continuously index GitHub repositories tagged with Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy 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 Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy 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 Keras 3 Dev Leads who are actively evaluating new tools
- Recruiting agencies — source active Keras 3 Dev Leads for technical hiring
- Agencies & growth consultants — resell developer lead generation as a service
FAQ: GitHub Leads for Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy contributors)
How many Keras 3 Dev Leads are on GitHub?
Our index currently tracks over 28,000 Keras 3 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 Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy 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 Keras 3 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 Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy contributors) developer list updated?
Our GitHub crawler runs continuously. New developers who star or fork a Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy contributors) repository are added to your pipeline within 24 hours.
Start Finding Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy 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 Keras 3 Multi-Backend Developer Leads (Keras 3 keras.Model layers compile fit backend authors, Keras 3 JAX TensorFlow PyTorch backend set_backend engineers, Keras 3 Layer call build get_config from_config contributors, Keras 3 Model save load model weights format developers, Keras 3 keras.ops numpy API backend-agnostic authors, Keras 3 Functional Sequential custom training loop engineers, Keras 3 mixed precision float16 bfloat16 dtype policy contributors) Leads →