Algorithm Engineer IP Vertical 
ConversionXL
JULY 3, 2020
Search engines are vital for discoverability. Google’s Public Search Liaison Danny Sullivan has openly pushed back against those who want subscription-only content flagged in search results: Our automated systems try to present the best information in relation to a search topic, as people expect us to do as a search engine.
ConversionXL
APRIL 18, 2019
But algorithms haven’t always kept pace. A page that’s well-matched for user intent can outperform those that optimize primarily for search engines—in search and after the click. IP address) can provide clues to search engines, as can search history, time of year, or time of day. What answer is a searcher looking for?
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Haystack
DECEMBER 29, 2018
companies, more sensitivity around technology IP and security. This was the big consumer behavior story of 2018, behind the rapid rise of digitally-native vertical brands (like the breakout , Hims), and the rise of prosumer-level data applications (like breakout Airtable). In the meantime, we have what we have today.
Austin Startup
APRIL 25, 2017
The smartphone is for everyone, we don’t have to think the iPhone is about a certain demographic, or country or vertical market: it’s for everyone. Although the rendering engines and computer vision are rather mature, we’re still years away in terms of packaging all of this in a sleek glasses-like form factor.
Austin Startup
SEPTEMBER 20, 2017
Enterprise Platform or Vertical Business Focused. The enterprise focus has a tough time showing their own IP versus the vertical business solutions have limited total addressable market. One of their engineers have now taken that and used AI to model that for other companies. There are challenges on both sides.
news.ycombinator.com
SEPTEMBER 16, 2011
We already have some competitors in the vertical and while there is no point in trying to hide the actual idea, there are differences in the way we implement stuff that can get us an advantage over the competition. >> The story of the v-8 engine is a bit different. Our idea is boring and not revolutionary.
VC Cafe
FEBRUARY 15, 2017
Since AI and ML startups cut across verticals (analytics, fintech, health, adtech, security, etc), it’s easier to group them under the “machine intelligence” umbrella, coined by Shivon Zillis , a partner at Bloomberg Beta. It uses machine learning and predictive algorithms to analyze over 250 terabytes of data daily.
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