Neeva - Ad-free, private search

Hi @rubenwolff ! We use a combination of static (domain/page level) and dynamic signals (what does this user like) to rank search results. Personal account search indexes your data (for your results *only*). At runtime, we blend the different corpuses together to produce a single result page.

Thanks for the feedback @ggarnhart ! Our team is hard at work making local & programming searches better. In addition, we try to make it easy to get to the same place on Google or Apple maps with direct links. Plus, you can always use our query shortcuts feature to append “!gmaps” and redirect your search to Google Maps. For example, “best restaurants near me !gmaps” will redirect you. If you have any other thoughts or feedback on local — it’s great you’re a Google Maps contributor! — please reach out to feedback@neeva.co and we can help find a time for us to chat. Thanks again!

Hi @miguel_iglesias ! We definitely want to integrate more product results. The *big* differentiator is going to be that we work for you. We get you the best, cheapest results. Not sponsored listings (which most of the search engine shopping tabs are), no affiliate links: just good products at the best price. And here is the dirty secret about the internet: personalization is typically used to serve you ads, not really create better search results. At Neeva, we are not anonymous: by default, we use things like your past searches to make your search experience better. You are always in charge: you can turn things like search history with a flip of a single button.

@sridhar_ramaswamy1 Thanks for the explanation Sridhar! Good luck, wishing the entire team success.

Hi @rosssaris ! We are clear that we monetize by selling low cost subscriptions. It is a core tenet of the company. At $4.95 / month, many, many people can afford the product and it guarantees that we will continue to just serve you.

Thanks for your question, @krish7. In terms of the technology, we crawl and index the web in addition to any personal data users choose to connect with our service. Our ranking approach blends traditional information retrieval and language understanding techniques with more modern machine learning techniques. Where I think we really shine is in three areas: 1. We provide you control in explicitly telling us which sites you trust and which sites you don't. We do this for news and recipe sites today, and are quickly expanding to other verticals. 2. We provide you deeper faceted search experiences that let you choose between the nature of information you trust -- for example, for programmers, whether you want official docs or forums or code repositories. 3. Wherever we can, we extract rich previews of structured content from the result landing page and show it to you on the search results page as part of an interactive experience. We support hundreds of sites, including Quora, Medium, Stack Overflow and many others.