MATTERMARK DAILY

Mattermark Daily – Tuesday, September 29th, 2015

From the Investors

Fred Wilson of Union Square Ventures suggests a tax policy he believes will create a stronger workforce and more innovative society in “Trickle Up Economics

Mahesh Vellanki of Redpoint Ventures visualizes the money pouring into the eSports industry and its growing global audience in “Here’s How Many Dollars Are Flowing Into the Fast Growing eSports Industry

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Michelle Pamisa of Dream Nation and Brad Feld of Foundry Groupdiscuss mental health, depression and entrepreneurship in “Be Well – It’s Work

Jonathan Hsu of Social Capital walks founders through applying his framework to accounting for revenue growth in “Diligence at Social Capital Part 2: Accounting for Revenue Growth

Christoph Janz of Point Nine Capital describes why the financial metrics of his fund leads them to hunt for dragons and hope for unicorns in “What Animals are WE Hunting?

Sarah Tavel of Greylock Partners compares Series A companies in the top 100 US iOS apps in 2012 vs today and explains her discovery in “Times Have Changed – Going After Dollars vs Minutes

Guy Turner of Hyde Park Venture Partners looks at the the consumer fintech value chain as a deck of cards thrown and now cascading to the ground due to changes in financial and communication behaviors of millennials in “The Millennial and Data-Drive (R)evolution of Fintech

From the Operators

Chris O’Neill of Evernote announces his new plan for Evernote and why he laid off 47 employees and closed 3 offices in “A Note from Chris O’Neill

Andy Doyle of Medium gives more of the backstory behind Medium’s $57 million round in “Medium’s New Funding Round” (M.G. Siegler of Google Ventures lends his perspective)

Jason Evanish of Lighthouse outlines why trust, respect, and communication are key characteristics of a great product manager in “The Missing Habit Separating Good and Great Product Managers

Peter Kazanjy of TalentBin in the First Round Review dives into why creating presentations ‘that actually work’ is crucial to engaging and acquiring your first customers in “Building Your Best Sales Deck Starts Here

Gary Holt of Google highlights several machine learning specific risk factors and design patterns to be avoided or refactored where possible in “Machine Learning: The High-Interest Credit Card of Technical Debt” (PDF)

ICYMI: The 40 Fastest Growing Startups, Revisited – And 42 More

Read our analysis of the previous batch of companies and get the spreadsheet of the 42 companies that are poised to raise funding.

© Mattermark 2017. Sources: Mattermark Research, Crunchbase, AngelList.
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