Ninfex is an experimental people-powered search engine without a complex algorithm or crawler. Users can submit and vote on links. URLs may optionally link to discussions about them at popular forums like reddit, hackernews, lobsters etc.
Experimental people-powered search engine
Ninfex is an experimental people-powered search engine without a complex algorithm or crawler. Users can submit and vote on links. URLs may optionally link to discussions about them at popular forums like reddit, hackernews, lobsters etc.
I’m the creator of Ninfex. I’ve been unhappy with the inconsistent quality of web search results for quite some time now. Wanting to do something about this for myself, I started experimenting with the way I save my notes/bookmarks. In all of my trials, two things seemed to work more than all others and proved to be useful in the long term. One: saving my good search result URLs. Two: saving links to discussions on those URLs from Reddit, HN, Lobsters, etc. because in my opinion, community feedb
not too sure about these results https://ninfex.com/search?q=bitcoin
I love it and I think your statement that users rely on communities as proxy for search is beautiful - I think it's not only relevant for power users. It will be super cool to let communities or teams build their own search index on top of it - to make it more focused on a certain topic and prioritize people you consider more credible. Good luck!
This is really cool! I love how you combined the power of SERPs with UGC & Community Voting Features. If it could live ontop of Google AS IS, I think with time it could be an absolutely amazing way of A/B Testing search queries without having to go 10-15 pages deep. People voting on links vs. googles algorithm to determine page rank is really interesting! Keep this project going! What's your Twitter?
I'm concerned about that logo. You're going to get sued out of existence. :/ It's even got Netflix's signature curved bottom. You might need to consider rebranding before anyone from Netflix notices... ?makers @teamninfex
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.