Finding something online might seem easy - but as Marcus Eagan tells it, it’s not easy to get it right. In today’s episode, MongoDB’s Staff Product Manager on Atlas Search speaks with Jason and Patrick about his own journey in software development and how to best use search engines to capture user intent. 00:00:34 Introductions00:01:30 Marcus’s unusual origin story00:05:10 Unsecured IoT devices00:09:56 How security groupthink can compromise matters00:12:48 The Target HVAC incident00:17:32 Business challenges with home networks00:21:51 Damerau-Levenshtein edit distance factor ≤ 200:23:58 How do people who do search talk about search00:30:35 Inferring human intent before they intend it00:46:13 Ben Horowitz00:47:32 Seinfeld as an association exercise00:52:27 What Marcus is doing at MongoDB00:58:30 How MongoDB can help at any level01:01:00 Working at MongoDB01:08:14 FarewellsResources mentioned in this episode: Marcus Eagan:
Website: https://marcussorealheis.medium.com

The Future of Search Is Semantic & Lexical: https://marcussorealheis.medium.com/the-future-of-search-is-semantic-and-lexical-e55cc9973b63

13 Hard Things I Do To Be A Dope Product Manager: https://marcussorealheis.medium.com/13-hard-things-i-do-to-be-a-dope-database-product-manager-7064768505f8

Github: https://github.com/MarcusSorealheis

Twitter: https://twitter.com/marcusforpeace

MongoDB:
Website: https://www.mongodb.com/
Atlas: https://www.mongodb.com/cloud/atlas/register

Careers: https://www.mongodb.com/careers
Others:
Damerau-Levenshtein distance: https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance

Lucene: https://lucene.apache.org/core/

Target HVAC Incident (2014, Archive Link): https://archive.is/Wnwob 
Mergify:Website: https://mergify.com/
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