hypersearch

If you're currently into researching sqlite questions and it happens you prefer one sites explanations, it likely comes up in the first few pages of a result of new questions on sqlite. By looking into bookmarks and history the users preference is clear. In general you're right as in: most often in the first few result pages, there is no hit of sites you prefer. I think an extension that lists the most popular pages that have user-agency to the top can already help without curated blocklists: rank wikipedia, stackoverflow sites, github and reddit to the top. There was a Show HN for "hypersearch" in 2022 that did something similar but in a sidebar - https://github.com/abhinavsharma/hypersearch

We built something a while ago that lets you do this on top of an existing search engine like Google. https://chrome.google.com/webstore/detail/hypersearch/feojag... It's 100% open source and client-side https://github.com/abhinavsharma/hypersearch I wrote a post explaining why we think this is a more pragramtic approach here https://abhinavsharma.com/blog/google-alternatives

This is great! let me know if you'd like to integrate this as the reddit option in our desktop extension. https://github.com/abhinavsharma/hypersearch

I built a desktop browser extension version (100% open source and GPL licensed) of this basic idea or side searching filtered to some sites only. It also just uses your browser's default search engine (so you can stick to DuckDuckGo for example). Usually I don't like to plug on HN but thought this is uniquely relevant. It shows reddit (also HN, and others when relevant) filtered results in a sidebar for Google queries. It's auto expanded when there's a non-navigational query with no onebox (this is a increasingly becoming a good indicator of when Google is lacking decisiveness in a query). Example: https://share.getcloudapp.com/QwuLL0NW For Chrome or Edge: http://chrome.google.com/webstore/detail/hypersearch/feojage... For Firefox: https://addons.mozilla.org/en-US/firefox/addon/hypersearch-d... Source: https://github.com/abhinavsharma/hyp