Find 12,000+ PyTorch Forecasting Time Series Developer Leads (jdb78/pytorch-forecasting TemporalFusionTransformer DeepAR authors, PyTorch Forecasting NBeats NHiTS RecurrentNetwork engineers, TimeSeriesDataSet add_relative_time_idx add_encoder_length contributors, PyTorch Forecasting QuantileLoss SMAPE MAE loss prediction developers, PyTorch Forecasting from_dataset TimeSeriesDataSet train val authors, PyTorch Forecasting LightningDataModule Trainer fit predict engineers, PyTorch Forecasting hyperparameter tuning optuna study contributor) Leads on GitHub
GitLeads monitors GitHub stars, forks, issues, and keyword signals to surface PyTorch Forecasting Time Series Developer Leads (jdb78/pytorch-forecasting TemporalFusionTransformer DeepAR authors, PyTorch Forecasting NBeats NHiTS RecurrentNetwork engineers, TimeSeriesDataSet add_relative_time_idx add_encoder_length contributors, PyTorch Forecasting QuantileLoss SMAPE MAE loss prediction developers, PyTorch Forecasting from_dataset TimeSeriesDataSet train val authors, PyTorch Forecasting LightningDataModule Trainer fit predict engineers, PyTorch Forecasting hyperparameter tuning optuna study contributor) leads who are actively building — right when they're most likely to buy your developer tool. Turn GitHub activity into pipeline.
Sample PyTorch Forecasting 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 PyTorch Forecasting Time Series Developer Leads (jdb78/pytorch-forecasting TemporalFusionTransformer DeepAR authors, PyTorch Forecasting NBeats NHiTS RecurrentNetwork engineers, TimeSeriesDataSet add_relative_time_idx add_encoder_length contributors, PyTorch Forecasting QuantileLoss SMAPE MAE loss prediction developers, PyTorch Forecasting from_dataset TimeSeriesDataSet train val authors, PyTorch Forecasting LightningDataModule Trainer fit predict engineers, PyTorch Forecasting hyperparameter tuning optuna study contributor) Leads on GitHub
GitHub Signal Detection
We continuously index GitHub repositories tagged with PyTorch Forecasting Time Series Developer Leads (jdb78/pytorch-forecasting TemporalFusionTransformer DeepAR authors, PyTorch Forecasting NBeats NHiTS RecurrentNetwork engineers, TimeSeriesDataSet add_relative_time_idx add_encoder_length contributors, PyTorch Forecasting QuantileLoss SMAPE MAE loss prediction developers, PyTorch Forecasting from_dataset TimeSeriesDataSet train val authors, PyTorch Forecasting LightningDataModule Trainer fit predict engineers, PyTorch Forecasting hyperparameter tuning optuna study contributor)-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 PyTorch Forecasting Time Series Developer Leads (jdb78/pytorch-forecasting TemporalFusionTransformer DeepAR authors, PyTorch Forecasting NBeats NHiTS RecurrentNetwork engineers, TimeSeriesDataSet add_relative_time_idx add_encoder_length contributors, PyTorch Forecasting QuantileLoss SMAPE MAE loss prediction developers, PyTorch Forecasting from_dataset TimeSeriesDataSet train val authors, PyTorch Forecasting LightningDataModule Trainer fit predict engineers, PyTorch Forecasting hyperparameter tuning optuna study contributor) 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 PyTorch Forecasting Dev Leads who are actively evaluating new tools
- Recruiting agencies — source active PyTorch Forecasting Dev Leads for technical hiring
- Agencies & growth consultants — resell developer lead generation as a service
FAQ: GitHub Leads for PyTorch Forecasting Time Series Developer Leads (jdb78/pytorch-forecasting TemporalFusionTransformer DeepAR authors, PyTorch Forecasting NBeats NHiTS RecurrentNetwork engineers, TimeSeriesDataSet add_relative_time_idx add_encoder_length contributors, PyTorch Forecasting QuantileLoss SMAPE MAE loss prediction developers, PyTorch Forecasting from_dataset TimeSeriesDataSet train val authors, PyTorch Forecasting LightningDataModule Trainer fit predict engineers, PyTorch Forecasting hyperparameter tuning optuna study contributor)
How many PyTorch Forecasting Dev Leads are on GitHub?
Our index currently tracks over 12,000 PyTorch Forecasting 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 PyTorch Forecasting Time Series Developer Leads (jdb78/pytorch-forecasting TemporalFusionTransformer DeepAR authors, PyTorch Forecasting NBeats NHiTS RecurrentNetwork engineers, TimeSeriesDataSet add_relative_time_idx add_encoder_length contributors, PyTorch Forecasting QuantileLoss SMAPE MAE loss prediction developers, PyTorch Forecasting from_dataset TimeSeriesDataSet train val authors, PyTorch Forecasting LightningDataModule Trainer fit predict engineers, PyTorch Forecasting hyperparameter tuning optuna study contributor) 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 PyTorch Forecasting 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 PyTorch Forecasting Time Series Developer Leads (jdb78/pytorch-forecasting TemporalFusionTransformer DeepAR authors, PyTorch Forecasting NBeats NHiTS RecurrentNetwork engineers, TimeSeriesDataSet add_relative_time_idx add_encoder_length contributors, PyTorch Forecasting QuantileLoss SMAPE MAE loss prediction developers, PyTorch Forecasting from_dataset TimeSeriesDataSet train val authors, PyTorch Forecasting LightningDataModule Trainer fit predict engineers, PyTorch Forecasting hyperparameter tuning optuna study contributor) developer list updated?
Our GitHub crawler runs continuously. New developers who star or fork a PyTorch Forecasting Time Series Developer Leads (jdb78/pytorch-forecasting TemporalFusionTransformer DeepAR authors, PyTorch Forecasting NBeats NHiTS RecurrentNetwork engineers, TimeSeriesDataSet add_relative_time_idx add_encoder_length contributors, PyTorch Forecasting QuantileLoss SMAPE MAE loss prediction developers, PyTorch Forecasting from_dataset TimeSeriesDataSet train val authors, PyTorch Forecasting LightningDataModule Trainer fit predict engineers, PyTorch Forecasting hyperparameter tuning optuna study contributor) repository are added to your pipeline within 24 hours.
Start Finding PyTorch Forecasting Time Series Developer Leads (jdb78/pytorch-forecasting TemporalFusionTransformer DeepAR authors, PyTorch Forecasting NBeats NHiTS RecurrentNetwork engineers, TimeSeriesDataSet add_relative_time_idx add_encoder_length contributors, PyTorch Forecasting QuantileLoss SMAPE MAE loss prediction developers, PyTorch Forecasting from_dataset TimeSeriesDataSet train val authors, PyTorch Forecasting LightningDataModule Trainer fit predict engineers, PyTorch Forecasting hyperparameter tuning optuna study contributor) Leads on GitHub Today
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