Privacy Policy
Effective Date: March 2026
Penqwin is built on the belief that developer trust starts with transparency. This policy outlines what data we collect, how we use it, and the measures we take to keep it secure when you use our documentation platform.
01. Data We Collect
We minimize data collection to only what is functionally necessary:
- Account Information: When you sign in via GitHub, we receive your GitHub ID, username, and primary email address.
- Repository Metadata: When you provide a URL, we access the repository’s public metadata (name, description, and file structure) and relevant code diffs to generate documentation.
- Usage Data: We collect basic telemetry (browser type, timestamp, and feature usage) to improve the platform’s performance.
02. How We Process Your Code (The AI Engine)
Penqwin acts as an ephemeral processor.
- AI Synthesis: To generate documentation, we send specific code fragments and diffs to our AI model providers.
- Preview Phase Notice: During this Public Preview, we utilize experimental and preview-grade AI models to provide the latest documentation features. Please be aware that, depending on the specific preview model in use, data processed during this phase may be utilized by the model providers for research and training purposes to improve future AI capabilities.
- Ephemeral Analysis: We do not store a permanent copy of your source code on our servers. We only store the generated documentation that you save within the Penqwin editor.
03. Your Rights (GDPR & Global Standards)
Regardless of where you live, we provide the same high standard of data rights:
- Access & Export: You can request a copy of all data we hold about you.
- Deletion: You can delete your account at any time. This will instantly remove your profile and all documentation stored in our database.
- Revoke Access: You can revoke Penqwin’s access to your GitHub account at any time through your GitHub settings.
04. Third-Party Services
We use a small number of trusted partners to help run Penqwin:
- Hosting: Vercel / AWS (for infrastructure).
- AI Models: Google / OpenAI (for documentation synthesis).
- Authentication: GitHub OAuth (for secure login).
05. Security
We implement industry-standard encryption (TLS 1.3) for all data in transit. Since Penqwin is built for engineers, we ensure that our GitHub App permissions are "Least Privilege," meaning we only ask for the minimum access required to read your code diffs.