HoundDog.ai – Ultra-Fast Code Scanner for Data Privacy
Hi HN, I'm one of the creators of HoundDog.ai (https://github.com/hounddogai/hounddog). We currently handle privacy scanning for Replit's 45M+ creators. We built HoundDog because privacy compliance is usually a choice between manual spreadsheets or reactive runtime scanning. While runtime tools are useful for monitoring, they only catch leaks after the code is live and the data has already moved. They can also miss code paths that aren't actively triggered in production. HoundDog traces sensitive data in code during development and helps catch risky flows (e.g., PII…
HoundDog.ai – Ultra-Fast Code Scanner for Data Privacy launched on February 2, 2026 with 16 votes, #817 of 16,627 launches that month and more than 90% of that year's launches.
In plain words
HoundDog.ai is a code scanner that detects sensitive data leaks during development before code ships to production. Built for developers and privacy teams, it traces how personally identifiable information and other protected data flow through codebases, catching risky patterns like PII in logs or unapproved third-party integrations. The standalone Rust-based scanner runs locally without LLMs, making it fast and deterministic—capable of scanning over a million lines of code in seconds while supporting 80+ sensitive data types.
written from the facts on this page · September 2026
From the sources
Privacy Code Scanner and Dataflow Context Engine for AI coding agents - hounddogai/hounddog
HoundDog.ai is an ultra-fast, deterministic context engine that scans source code and provides your AI agents where sensitive data flows, and how your APIs and services connect. Detects sensitive data flows and leaks in your code, mapping 100+ sensitive data elements across 800+ data sinks. Builds a live, cross-repo catalog of every gRPC and Apache Thrift connections, so AI coding agents have reliable context instead of rediscovering it on every prompt. Check out the sample Markdown report and FAQ for more information. Install HoundDog.ai on a developer machine using the commands below. To run it across your organization inside your own network, see the self-hosted installation guide . curl…from github.com
In the maker’s words, at launch
Hi HN, I'm one of the creators of HoundDog.ai (https://github.com/hounddogai/hounddog). We currently handle privacy scanning for Replit's 45M+ creators. We built HoundDog because privacy compliance is usually a choice between manual spreadsheets or reactive runtime scanning. While runtime tools…
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