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Building Resolution Bot: How to apply machine learning in product development

Intercom, Inc.

ML products also require us to manage relatively large technology risks – this is an area where, unlike in most other product development, technical limitations might render the entire design impossible. New software engineers quickly learn that a lot of complexity arises from error handling. Case study: Resolution Bot.

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Calm’s Will Larson on how to build a technical leadership career

Intercom, Inc.

If you’re a senior engineer and want to further your career, what skills should you develop? How do people move into staff engineering roles? With his latest book, Staff Engineer , Will is hoping to answer all of these questions. What’s the right way to do this in your company? A tale of two career paths.

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What’s New at Greenhouse: $200M ARR, AI in the Real World, Going Big with PE, and More

SaaStr

The SMB markets can test out features that aren’t built to scale yet, and as they succeed, Greenhouse invests in them and rolls them out to Enterprise customers. The swing nature is true for where to invest marketing dollars, so founders need to be thoughtful when running a portfolio of bets. Daniel’s team is an anti-gravity device.

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Advertising Week 360: How to Tell the Perfect Startup Brand Story

Trint

I’d never been exposed to software developers and the mysterious world of coding. I was introduced to a team of software engineers who’d been working on tech that aligned audio and text so that you could follow it like karaoke. I remember saying to the team, “We just invented the future.”

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Instacart

Andreessen Horowitz

Investing in Instacart was perhaps the hardest decision I had to make as a venture capitalist. We pulled from my prior marketplaces experience and dove into their business quickly to develop a point-of-view on the opportunity. Prior to founding Instacart, Apoorva was a fulfillment optimization software engineer from Amazon.

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The new dawn of Machine Learning

Intercom, Inc.

ML teams tend to invest a fair share of resources in research that never ships. If you want to invest in ML, hire someone with experience on both the tech and the operational side so they can start working with the product team from day one. I think this is important for product teams for two reasons.

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Best DAST tools for DevOps & software development teams

Audacix

Table Of Contents The strangest reality of application security in the age of "shift left" is the poor understanding of DAST tools (dynamic vulnerability scanning tools) and, particularly, the value that they the offer as part of a modern software development lifecycle. How does DAST work?