CodePrivacyGuard – Self-hosted Git privacy dashboard

Helps 2–10 person teams verify their code host isn't training AI on their repos without paying for enterprise

Problem

An HN user explicitly complains that GitHub, GitLab and Bitbucket all seem to be training on their code. Small teams don't want to pay for enterprise plans and have no dedicated person to manage backups, uptime or privacy configuration. Existing self-hosted options like GitLab self-managed are too heavy for teams without ops, and nobody can confirm whether a self-hosted instance is secretly leaking data upstream.

Solution

A lightweight code-hosting privacy audit and self-hosting bootstrap tool: it scans existing repos for AI-training opt-out status and privacy settings, generates a risk score, then offers a privacy-first self-hosted Git template with built-in backups, uptime alerts and outbound traffic monitoring so users can see if repo data is being sent outside.

Users

Small software teams (2–10 people) and indie developers using GitHub/GitLab/Bitbucket who worry about code being used for AI training but can't afford enterprise or hire ops.

MVP

Scan major hosting platforms for AI-training opt-out status and privacy config with a risk score; one-click deploy a lightweight self-hosted Git template with scheduled backups and disk/traffic alerts; outbound traffic log dashboard flagging suspicious egress; export privacy compliance report as PDF; OAuth quick-connect for GitHub/GitLab accounts.

Revenue

Monthly subscription per repo or team seat (e.g. $5–15/month/team); self-hosted template free with paid advanced monitoring and reporting; optional one-time buyout for private deployment license.

Why now

Major code hosts are updating terms to allow training on user code, and privacy anxiety is shifting from an enterprise concern to an indie/small-team concern. Existing self-hosted options have too high a barrier, leaving room for a lightweight indie-built entry point.