ditch Google!! (build your own PRIVATE search engine)

Big tech’s search tracking is the privacy problem, and the practical fix is to stop outsourcing queries to Google or Microsoft and instead run a private, self-hosted metasearch engine. The approach described builds a “your own Google” that routes searches through multiple backends while preventing those services from learning a stable profile tied to the user. The result is less targeted advertising and fewer data trails—though not “perfect” privacy unless the instance is truly under the user’s control.

The core mechanism is a tool called Searx (specifically discussed as “searxng,” a fork of the original Searx). It works as a metasearch engine: when a user searches for something like “coffee,” it queries multiple search providers (the transcript mentions Google, Bing, DuckDuckGo, and others) and then aggregates results. What changes is how identity is handled. Instead of building a history of searches that maps to a person, Searxng generates a random, non-personalized search profile for each query. That means the upstream providers see a fresh, generic profile rather than a long-term record of interests such as “coffee” and “Marvel,” which the transcript contrasts with how major search engines use accumulated history to personalize ads.

The setup also reduces what websites can infer from the user’s network location. When Searxng runs on a cloud server, upstream sites primarily see the server’s public IP address rather than the user’s home IP. That limits exposure of approximate geography and other network metadata that can be derived from a residential connection, ISP, or DNS path. The transcript emphasizes that this is a high-level privacy improvement, not a guarantee—because anyone operating a public instance could potentially log activity, and trusting any system requires judgment about who controls it.

After the privacy rationale, the walkthrough turns concrete: install Docker and Docker Compose on a machine (the example uses a Linux cloud server), optionally point a domain record (A record) to the server’s public IP, and then deploy Searxng using a Docker-based configuration. The process includes editing an environment file to set the domain and email for Let’s Encrypt, generating a secret key, and starting the stack with a single Docker Compose command. Once running, the transcript shows the interface returning aggregated results from multiple sources.

Finally, the guide highlights customization and operational control. A settings YAML file lets users adjust behavior such as HTTP method (switching from POST to GET to avoid interface quirks), instance name, safe search strictness, and autocomplete engine. Searxng can support many search engines (the transcript cites “over 70”), can be configured to disable specific providers, and can integrate additional data sources like SQL databases. For users who want even more isolation, the transcript mentions adding proxies (including Tor), and it notes that the system can expose stats and APIs. The overall message is straightforward: building and running the search engine yourself gives more control over what gets collected and who sees it, and it can be done quickly with Docker.