TLDR Founders

TLDR FOUNDERS 2024-03-25

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01GENERAL

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03STRATEGIES & TACTICS

HOW TO DECIDE FAST

Founders have to balance their gut instincts with data-driven insights. It is both an art and a science to develop a lean "data-informed" mindset to accelerate decision-making for startups. This article offers 7 quick tips to help you with this process. Hint: make a habit of checking your metrics every day to stay informed.

wrap-text.equals.com5 min read

THE FOUR W’S OF PRODUCT-LED SALES

Product-Led Sales (PLS) is a superpower because it gives you the best of both worlds: the seamless onboarding and proven engagement of a self-serve product along with the large contract sizes of sales. A successful approach involves identifying 'trigger' events indicating a user is ready for sales outreach, reaching out to the correct persona, choosing the right communication channel, and crafting a personalized, value-driven message.

elenaverna.substack.com7 min read

LESSONS FROM A $60M SERIES A FUNDRAISE

The founders of Leapsome share an honest behind-the-scenes look into their first fundraise, which raised $60M in a very different 2022 environment. This comprehensive guide takes readers through the entire process, from creating a compelling pitch deck and supplementary data to prioritizing investors, managing meetings, conducting due diligence, and much more.

medium.com10 min read

04TOOLS & RESOURCES

DATAMOTTO

Make your data ready and clean with AI.

datamotto.comTool

BLUEDOT 1.1

Generate follow-up emails from Google Meet.

bluedothq.comTool

05MISCELLANEOUS

HOW FIGMA GROWS: AN INTERVIEW WITH FIGMA'S CTO

Take an in-depth look at Figma's plans to expand from being just a $20 billion design tool to becoming a $50 billion ecosystem that spans the entire product development lifecycle. The CTO of Figma shares insights on sequential growth loops, the role of AI in raising and lowering the design barrier, and what defines great product leadership.

howtheygrow.co20 min read

THE PROBLEM OF AI ETHICS AND LAWS ABOUT AI

This article critiques approaches to regulating AI and software, using the UK Post Office scandal as a case study to illustrate how institutional failures, rather than technological flaws, can lead to significant injustices. It argues for a nuanced understanding of AI's diverse applications, suggesting that a broad, one-size-fits-all regulatory framework is impractical due to the rapid evolution and varied uses of AI technologies.

ben-evans.com5 min read

SOFTWARE AND A SERVICE: THE DIAGONAL SOFTWARE OPPORTUNITY

This article discusses the transformative potential of combining AI, software, and services into a new business model called Diagonal Software, which aims to overcome traditional service industry challenges by leveraging AI to improve scalability, margins, and customer experiences. It highlights examples across various sectors, including financial advising, back office functions, and robotics, emphasizing the symbiotic relationship between AI and services to unlock new markets and drive significant growth in the software industry.

felicis.com8 min read