The Presearch team met on Wednesday, September 30th to review our progress on the development of search nodes, as described in the updated Vision Paper, and to formally launch our Search Nodes Beta Program!
Several of our team members and community supporters are now running nodes and have been using the new Presearch Engine search experience since the beta launch last week. The initial feedback from our beta testers has been extremely positive.
We’ve walked through the setup process with these first few beta users, and our development team is currently gathering feedback, fixing bugs, and otherwise tweaking the experience in preparation for inviting our next batch of beta users from our beta sign up list.
This closed beta release is the first step toward a public beta and ultimate launch of the search nodes and new Presearch Engine later in Q4. We are so excited to share this new platform with the world soon and to provide both keyword stakers and searchers with the highest-quality results in a privacy-protecting search environment.
How to run a node
Node operators request a node registration code on the Presearch.org website. This connects their Presearch account to their node(s) for security and node-reward purposes and is necessary to run a node.
After registering, operators download and install Docker, an industry-standard way to deploy software in a quick, convenient, and controlled environment that minimizes configuration steps and errors for those running it.
Docker works on Linux, Mac, and Windows computers, as well as any modern server environment, and is often even preinstalled with commercial hosting accounts.
Node operators then simply run a command that downloads, installs and runs the Presearch Node software in one step. Once a node is running, it connects to and registers with the Presearch gateway, and the gateway then monitors the node and begins routing search requests to it as long as the node remains healthy.
And for searchers
Searchers use the new Presearch Engine powered by decentralized Presearch nodes just like they normally would any other search engine. The difference is in how queries are processed on the back end.
When a query is submitted, it is received by the Presearch gateway which then redirects it to an active node for processing. The search is anonymized to prioritize user privacy, ensuring that personally identifying information (like IP addresses, account information, or other sensitive information) is not passed through to the search node.
The node sends the query out to a range of search engines and APIs that return results that are then combined into the search results page, complete with on-page search snippets and extended information, as well as Presearch keyword staking ads.
After pushing through some initial challenges faced by less technical team members, everyone was able to run a node on their machines, having it register with the gateway and serve search results.
Considering this was the first time many of the internal testers had ever installed Docker or used the current command line interface needed to start a node, it went well and everyone agreed that even in a still somewhat unpolished state, setup was straightforward and simple.
Search results served were found to be very high-quality, comparable to the world’s best search engines, with the added benefit of privacy and token rewards.
Now that we’ve progressed to the point of having a working system and a small group of internal beta testers, the development team will continue to refine the platform, optimize its performance, and improve usability for both node operation and the end-user search experience until they are ready to be released to a wider tester audience ahead of public launch later in 2020.
We will keep all of those who signed up to be beta testers posted via email as well as our social channels to let them know as we continue to expand the test to more people on different platforms to ensure performance and compatibility.
We can’t wait to release this new platform to the world, and we believe that this is going to significantly improve the Presearch search experience, enabling us to begin aggressively targeting user growth, particularly in geographic areas like North America and Europe where user expectations are higher and retention is more challenging.
At this time, we’d like to thank our development team for all of the time they’ve put into getting us to this initial beta stage and enabling us to begin realizing the project’s ultimate vision of building a globally-decentralized search engine.
Please follow our progress on Presearch search nodes on our social channels: