TLDR Founders 2025-03-24

By integrating your product deeply into customers' tech stack, you'll create a better user experience and make your product much stickier.

In fact, 92% of SaaS companies say their customers with integrations enabled are less likely to churn*.

The need for integrations is even more prevalent in the age of AI, where ingesting customers' 3rd-party data and automating tasks across their workflow are key product enablers.

But you can't afford to build each integration in-house.

On average, it takes 3+ months for engineering to build a robust integration - time that should be spent on your core product and differentiators.

That's why Copy.ai, AI21, tl;dv and 200+ SaaS companies use Paragon's embedded integration platform, so they can ship integrations 7x faster while innovating ahead of their market.

Turn integrations into a competitive advantage with Paragon - learn more here.

* Data from the State of Integrations 2024 Report*

Tech M&A is surging in 2025's first quarter with eight major deals totaling over $45 billion, including Google's $32B acquisition of Wiz and ServiceNow's $2.9B purchase of Moveworks. This uptick suggests a potential shift back to inorganic growth as established cloud companies face slowing expansion. The window may be especially valuable for "zombie" point solutions stuck at $100-300M in revenue that could thrive as part of larger platforms.

StubHub's IPO filing shows a healthy ticket marketplace making $1.77B in revenue (up 29%) with strong profits. The company takes a solid 20% cut of its $8.7B in ticket sales while generating 14% free cash flow. The business works because people need tickets to events they don't want to miss and are willing to pay premium fees. With 30 million buyers spending about $250 per order, StubHub is looking at an $8-10B valuation as it heads to the public market.

AI coding tools write verbose, repetitive code that experienced programmers find inefficient and inelegant. However, what if this approach is actually better for machines? Human engineers prefer code that's abstracted and reused because we can only keep a few things in our heads at once, while AI can manage thousands of separate pieces with ease. Instead of forcing AI to write "good" code by human standards (DRY, abstracted, and component-based), perhaps we should embrace its preference for "radically simple" code—where each function does exactly one thing without complex interconnections. This approach might actually create more reliable software, even if it looks messy to our eyes.

Growth-stage Founder/CEOs often need to recognize when their company has outgrown their solo leadership capacity and consider hiring a COO. A COO can streamline operations, enabling founders to focus on strategic priorities and reducing bottlenecks in decision-making. This strategic partnership requires trust and self-awareness but can significantly enhance company performance and leadership effectiveness.

This expanded D2C playbook, by Greg Isenberg, provides a comprehensive, step-by-step guide for entrepreneurs looking to build and scale their businesses rapidly.

When inheriting a sales team with mountains of data, avoid analysis paralysis by following this simple four-step process: First, model your funnel using basic volume, conversion, and time metrics—focusing on raw data without cherry-picking or making assumptions. Next, find your performance bottleneck (like low lead-to-opportunity conversion) and break it down by segments and reps to spot patterns. Then talk to your team and customers to understand why things were done certain ways before. Finally, resist implementing twenty changes at once—pick 2 to 3 things that will directly impact your biggest bottleneck, reinforce them relentlessly, and then move to the next problem.

Want to know a secret? Most business processes are stuck in the past. Another one? Digital transformation doesn't really require advanced AI models or overhauling your tech stack with complex implementations. One more? This actionable guide by Stable offers simple, scalable, time-saving steps that any operations, workplace, or office professional can implement right now. Get the guide.

End-to-end data extraction.

TestAI runs 1,000+ automated tests for AI agents in one click, ensuring flawless performance with real-world simulation and analytics.

Forage Mail filters low-priority emails, sends a daily summary with TLDRs. It adapts to your preferences while working with any email app.

MCP (Model Context Protocol) lets AI tools like Claude and ChatGPT integrate with your everyday apps—turning them from isolated chatbots into powerful assistants with real-world capabilities. Instead of copying error logs into your AI, MCP lets you simply say "read my browser console and fix this bug" and the AI can directly access those tools. Behind the scenes, MCP works through a standard interface where providers like Slack, GitHub, and Sentry create "adapters" that translate AI requests into API calls.

Models can be useful even when they're wrong about how the world works—ancient Mayans predicted eclipses with remarkable accuracy despite their laughable cosmology. Similarly, our business frameworks should be judged on usefulness, not attractiveness. Be suspicious of conveniently symmetrical models with exactly four quadrants, ten bullet points, or perfectly balanced categories—humans, companies, and markets are messy and asymmetrical. Good frameworks embrace this complexity rather than forcing reality into neat diagrams that look good in PowerPoint.

This post explores the structural factors that have led to the relative decline of the United States in areas such as AI, semiconductor fabrication, arguing that tariffs are not the answer. The author then makes suggestions at the policy and industry level to maintain global American competitiveness.

KOBIL Ventures has launched a Venture Studio to support entrepreneurs in creating next-generation mobile apps using its SuperApp Platform.

Roblox CEO David Baszucki envisions leveraging generative AI to allow both creators and players to design immersive game experiences with minimal input.

Scopely is acquiring Niantic's games business for $3.5 billion, integrating Niantic's game developers and titles like Pokémon Go.