7 Insightful Quotes from Amazon’s Letter to Shareholders

Every year, Jeff Bezos publishes a letter to Amazon shareholders. These letters tend to be an interesting lens into the company and its progress, as well as a source of insightful snippets about building & leading an iconic business. We thought we’d share a few of our favorite nuggets from Bezos’ 2017 letter published earlier this month. We did the same for last year’s letter as well here.

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Up to Speed on Deep Learning: April Update, Part 2

Sharing some of the latest research, announcements, and resources on deep learning.

By Isaac Madan (email)

Continuing our series of deep learning updates, we pulled together some of the awesome resources that have emerged since our last post. In case you missed it, here are our past updates: April part 1, March, February, November, September part 2 & October part 1, September part 1, August part 2,August part 1, July part 2, July part 1, June, and the original set of 20+ resources we outlined in April 2016. As always, this list is not comprehensive, so let us know if there’s something we should add, or if you’re interested in discussing this area further.

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Up to Speed on Deep Learning: March Update, Part 2

Sharing some of the latest research, announcements, and resources on deep learning.

By Isaac Madan (email)

Continuing our series of deep learning updates, we pulled together some of the awesome resources that have emerged since our last post. In case you missed it, here are our past updates: March part 1, February, November, September part 2 & October part 1, September part 1, August part 2, August part 1, July part 2, July part 1, June, and the original set of 20+ resources we outlined in April 2016. As always, this list is not comprehensive, so let us know if there’s something we should add, or if you’re interested in discussing this area further.

Continue reading “Up to Speed on Deep Learning: March Update, Part 2”

Up to Speed on Deep Learning: March Update

Sharing some of the latest research, announcements, and resources on deep learning.

By Isaac Madan

Continuing our series of deep learning updates, we pulled together some of the awesome resources that have emerged since our last post. In case you missed it, here are our past updates: March part 1, November, September part 2 & October part 1, September part 1, August part 2, August part 1, July part 2, July part 1, June, and the original set of 20+ resources we outlined in April. As always, this list is not comprehensive, so let us know if there’s something we should add, or if you’re interested in discussing this area further.

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Channel Sales: The 3 Key Attributes You Need to Know to Scale Your Business

Here’s what to consider when approaching partners & resellers to help you sell more product.

By Jaimin Patel, Ascanio Guarini, and Isaac Madan

There are many factors that play a key role in picking the right indirect routes to market (aka partner strategy, channel selling) for a company looking to scale their revenue beyond direct sales.

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Up to Speed on Deep Learning: February Update

Sharing some of the latest research, announcements, and resources on deep learning.

By Isaac Madan

Continuing our series of deep learning updates, we pulled together some of the awesome resources that have emerged since our last post. In case you missed it, here are our past updates: November, September part 2 & October part 1, September part 1, August part 2, August part 1, July part 2, July part 1, June, and the original set of 20+ resources we outlined in April. As always, this list is not comprehensive, so let us know if there’s something we should add, or if you’re interested in discussing this area further.

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Effective Recruiting Metrics for Fast-Growing Startups


We spent the better part of 2015 working with fast-growing tech companies on their internal HR & recruiting analytics. Effective recruiting can be incredibly challenging: First Round Capital’s State of Startups 2016 Report assessed that talent acquisition is founders’ biggest concern for the second year in a row. Recruiting metrics help to identify problems and optimize the talent acquisition process: if you can’t measure it, you can’t improve it. Below we share some of the most common metrics we observed across startups that serve as the basis for understanding and improving your recruiting process. The list below isn’t comprehensive, nor applicable for everyone, but it’s a good place to start.

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Startup DB: Search for relevant, curated posts by entrepreneurs & investors

The Mattermark Daily is an excellent daily newsletter that curates first-hand perspectives on entrepreneurship, investing, sales, hiring, and more, as it emerges everyday. As a weekend hack, we deep-indexed every article featured in the Daily over the past few years, and built StartupDB: a simple search interface so you can find the best, most relevant startup content from the Daily when you need it. We’ve been using it internally to field questions from readers and pull together some of the best startup resources — for example, this post here on 10 excellent resources for enterprise sales.

Give StartupDB a try here.


We’d love to hear your feedback & thoughts via email. Special thanks to Nick Frost, Editor of the Mattermark Daily, for his support.

Subscribe to our email newsletter here. Requests for Startups is a newsletter of entrepreneurial ideas & perspectives by investors, operators, and influencers.

Up to Speed on Deep Learning: November Update

 Continuing our series of deep learning updates, we pulled together some of the awesome resources that have emerged since our last post on October 17th. In case you missed it, here are our past updates: September part 2 & October part 1, September part 1, August part 2, August part 1, July part 2, July part 1, June, and the original set of 20+ resources we outlined in April. As always, this list is not comprehensive, so let us know if there’s something we should add, or if you’re interested in discussing this area further.