Subscribe to DTC Newsletter – https://dtcnews.link/signup Meta attribution has changed, and most brands are still reading performance the same way they were a year ago. Jacob, Head of Socials at Pilothouse, walks through what’s different now. Click-only attribution, incremental measurement, and how those shifts affect the way conversions show up in your dashboard. If you’ve…
What does it take to start a company at 20 years old — and scale it into a platform used by tens of millions before selling it for hundreds of millions?
On today’s episode, we welcome David Rusenko, Founder and former CEO of Weebly — one of the earliest platforms to make it possible for anyone to build a website without coding. Long before “no-code” became a movement, David and his co-founders set out to simplify the internet for small businesses and entrepreneurs. After joining Y Combinator in its early days, they built Weebly into a company with over 350 employees, hundreds of millions in revenue, and more than 50 million users worldwide — ultimately leading to its $365 million acquisition by Square.
In this episode, David shares the real story behind building Weebly from a college project into a global platform, including the scrappy early days, the challenges of scaling a team and culture, and the evolution of his leadership as CEO. We dive into the realities of hypergrowth, what it takes to maintain human connection while scaling, and the lessons learned from serving millions of small business owners. David also opens up about the acquisition process — how the deal with Square came together, what it felt like to sell, and the emotional and psychological transition that comes after stepping away from something you’ve built for years.
If you’re interested in early-stage hustle, scaling a company, navigating an exit, or what founders don’t talk about after the deal closes — this episode is for you. Tune in now on The Kara Goldin Show.
Are you interested in sponsoring and advertising on The Kara Goldin Show, which is now in the Top 1% of Entrepreneur podcasts in the world? Let me know by contacting me at karagoldin@gmail.com. You can also find me @KaraGoldin on all networks.
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Check out our website to view this episode’s show notes: https://karagoldin.com/podcast/836
Is SEO actually dead this time, or are we just watching it slowly lose relevance? In this episode, I’ll share why I officially stopped investing in SEO after building multiple businesses on it for over a decade. You’ll learn what’s changed in the search landscape, why organic traffic is declining for even experienced operators, and…
May 8, 2026LeeUncategorizedComments Off on Anthropic introduces “dreaming,” a system that lets AI agents learn from their own mistakes
Anthropic on Tuesday unveiled a suite of updates to its Claude Managed Agents platform at its second annual Code with Claude developer conference in San Francisco, introducing a new capability called “dreaming” that lets AI agents learn from their own past sessions and improve over time — a step toward the kind of self-correcting, self-improving…
May 7, 2026LeeUncategorizedComments Off on How Sakana trained a 7B model to orchestrate GPT-5, Claude Sonnet 4 and Gemini 2.5 Pro
Every LangChain pipeline your team hardcodes starts breaking the moment the query distribution shifts — and it always shifts. That bottleneck is what Sakana AI set out to eliminate. Researchers at Sakana AI have introduced the “RL Conductor,” a small language model trained via reinforcement learning to automatically orchestrate a diverse pool of worker LLMs….
In this episode, Leo Sgovio breaks down the AI-powered workflows he built to automate influencer outreach, generate video ads, and launch products without relying on giveaways or PPC. He walks through the exact system he used to sell out 5,000 units before Christmas and how he clones winning competitor ads using a chain of AI…
May 7, 2026LeeUncategorizedComments Off on Meet ZAYA1-8B, a super efficient, open reasoning model trained on AMD Instinct MI300 GPUs
Even as leading AI providers like OpenAI and Anthropic battle over the compute to train and release ever larger, more powerful models, other labs are going in a different direction — pursuing the development of smaller, more efficient models and often open sourcing them. The latest worth paying attention to comes from the lesser-known Palo…
You’re spending $20 per ad and it’s not working. You think you need more creative volume. But the real problem? You don’t have your customer journey figured out. In this episode, Joy Sharma breaks down why 7-figure brands get stuck, and it’s almost never a creative problem. He shares the exact formula CTC uses to…
May 7, 2026LeeUncategorizedComments Off on Anthropic Skill scanners passed every check. The malicious code rode in on a test file.
Picture this scenario: An Anthropic Skill scanner runs a full analysis of a Skill pulled from ClawHub or skills.sh. Its markdown instructions are clean, and no prompt injection is detected. No shell commands are hiding in the SKILL.md. Green across the board. The scanner never looked at the .test.ts file sitting one directory over. It…
Presented by Zeta Global The gap between what AI promises and what it delivers is not subtle. The same model can produce precise, useful output in one system and generic, irrelevant results in another. The issue is not the model. It’s the context. Most enterprise systems were not built for how AI operates. Data is…
