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Cloudflare started as a content delivery network (CDN) to handle server load and provide DDoS protection. They built a distributed network by partnering with ISPs around the world, creating a unique approach to internet infrastructure. Over time, they expanded their services to include security, zero trust, and the workers platform. Their platform is designed to be flexible and efficient, using commodity hardware and leveraging idle capacity for different products. Cloudflare's long-term thinking and focus on innovation has allowed them to rapidly develop and launch new features and products.
Recruiting talent has become more challenging for tech companies due to the dominance of big tech and the high compensation packages they offer. Smaller tech companies like Cloudflare have had to differentiate themselves by offering a better work environment and the potential for wealth creation through stock growth. However, as big tech companies continue to attract top talent, it becomes more difficult for up-and-coming tech companies to compete. Lowering compensation is not a feasible option, and companies must find other ways to attract and retain talented individuals.
Cloudflare's competitive advantages lie in their distributed network and innovative approach to internet infrastructure. Their network acts as a sensor network, monitoring and protecting against attacks while optimizing performance. They have a tight feedback loop between product development and customer usage, facilitated by using their own products and the free tier to gain valuable insights. Cloudflare's ability to rapidly iterate and ship new features has allowed them to stay ahead of the competition. Their long-term thinking and focus on customer needs positions them well for future success.
There are uncertainties surrounding the talent market and profitability in the tech industry. Big tech companies set high compensation standards, making it difficult for smaller companies to attract and retain top talent. Additionally, the path to profitability for up-and-coming companies is not guaranteed, especially as they scale and face challenges in managing operating expenses and gross profit per headcount. The success of these companies will depend on their ability to maintain a competitive edge, optimize workforce efficiency, and adapt to market dynamics.
The podcast discusses the possibility of compensation for engineers and salespeople being too high at Cloudflare and the potential need for rationalization. It also explores the trajectory of Cloudflare and Datadog's growth and profitability in the future. The speaker mentions that while the big tech companies may maintain high salaries as a competitive advantage, the current tech bubble may limit the growth of startups. However, there is optimism that the best startups and ideas can thrive even in downturns. It is also mentioned that the growth of AI and its impact on engineering productivity could potentially change the dynamics of the industry.
The podcast highlights the importance of balancing growth and margins in tech companies. It suggests that some companies may prioritize top-line growth over achieving higher margins, leading to questions about their long-term profitability. It explains that the emphasis on growth may result in overhiring and an inefficient allocation of resources. The speaker believes that as companies mature, they should focus on optimizing productivity and scalability to maintain healthy margins. The efficiency of the tech industry and the leverage provided by technology should allow for economies of scale, which can minimize the need for excessive hiring and facilitate better cost management.
The podcast provides an overview of DataDog's business model, focusing on its observability and security solutions. It highlights that DataDog's growth is primarily driven by a bottom-up approach, where developers and operations teams adopt their products. The speaker questions whether DataDog can sustain this approach as it expands into other areas such as cloud security. It suggests that while the observability products may thrive with a bottom-up approach, other products may require a combination of top-down and bottom-up sales strategies. The speaker also raises concerns about the impact of increasing competition and emphasizes the importance of having the right pricing strategy and customer retention to maintain profitability.
The podcast stresses the importance of companies having realistic frameworks and management focus. It questions the validity of focusing on non-GAAP margins and the need for management to understand and communicate the right financial framework to shareholders. The speaker highlights the significance of having aligned incentives and choosing the right shareholders who understand the long-term vision and value creation potential of the company. It emphasizes the need for management to adapt and learn from the public market's trial by fire, avoiding overly conservative approaches and making decisions that create long-term value.
First, something to keep in mind: This is a conversation about these companies not an interview of MBI. We both talk about equally and ask each other questions. I want to mention it upfront just so you don’t expect a different format going in.
I had a great time discussing these two very interesting companies with my friend MBI (💎🐕).
When I saw on his 2022 deep dive calendar that he was going to write about Cloudflare and Datadog, I knew we had to find time to talk about them at some point, since I had independently studied both and had a few things to say.
We discuss the businesses, technology, products, and management.
We also analyze the rise and fall of cloud software stocks over the past few years, issues with stock-based compensation, competition for engineers from Big Tech, how profitable can these companies be at maturity, and a bunch of other related topics and companies.
📃 Full transcript
* Going Deep on Cloudflare and Datadog with Mostly Borrowed Ideas (Transcript)
🎙 More podcasts with MBI:
* 🎧 Going deep on Constellation Software with Mostly Borrowed Ideas (MBI)
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Listen to the best highlights from the podcasts you love and dive into the full episode