Since we launched the decentralized, node-powered alpha version of Presearch on January 28th, a lot has happened behind the scenes and we wanted to recap some of our development progress.
What we’ve been up to…
Since we launched the decentralized search engine testnet in January, we’ve been working through a ton of development releases to improve the quality of our search results, increase the reliability and resilience of the node platform, and preparing to scale as we’ve gone from 250,000 searches a day to more than 1.4 million.
In addition to these performance improvements, we’ve launched an alpha tokenomics engine as we’ve been experimenting with different reward models. Those experiments have paved the way for the upcoming replacement of our RVS (user-levels) system, as well as the upcoming rollout of an enhanced Search Rewards 2.0 model, which will both help close the loop on project tokenomics.
To keep node operators incentivized and engaged while we’ve been building out the testnet, which now features more than 2,100 nodes, we released node rewards that pay real PRE to those who are helping us in these early days. The node rewards system tracks the reliability of nodes and pays out node rewards based upon the staked capacity and node utilization calculation, as communicated in our vision paper.
We’ve also introduced a node stats dashboard and a new node status API so that those node operators who are managing many nodes at once have the ability to easily monitor and manage their nodes’ status, performance, and rewards payouts.
As thousands of node operators (who we affectionately refer to as “node runners”) have come onboard, the need to provide more technical guidance on how to run and troubleshoot nodes across various platforms has grown. To this end, we launched docs.presearch.org to provide more detailed instructions, guides, walkthroughs, and API documentation. We now continue to extend the docs site to cover other areas, such as keyword staking, frequently asked questions, and so on.
To make the search engine more user-friendly, we launched dark mode, as well as some improvements that enable users to share their Presearch affiliate code more easily through links to search results. Speaking of affiliates, we also added some links into the system that enable the project to generate some affiliate revenue while continuing to respect user privacy.
Of course there are always tons of ongoing improvements to the search engine to improve the quality, relevance, and speed of the user experience, and we continue to add in more data sources to make the search experience more robust and resilient to changes as they occur across the web.