![Justin Ishbia - Lessons from Acquiring 586 Companies [Invest Like the Best, REPLAY]](https://colossus.com/wp-content/uploads/2024/08/episode_1703002843137_justin-ishbia-v2.png)
Justin Ishbia - Lessons from Acquiring 586 Companies [Invest Like the Best, REPLAY]
Hi there, little explorer! 👋
Imagine Justin is like a super-duper toy collector! 🧸 He doesn't just collect one or two toys; he collects hundreds of little toy shops, like tiny candy stores or small toy car garages. 🚗🍬
He's not buying giant toy factories, but lots of small, special ones. Then, Justin and his friends help these little shops become even better! They give them new ideas and make sure everyone knows how to play nicely and work together.
It's like he has a magic recipe to help all these small shops grow big and strong, so they can sell even more fun toys and treats! He's a helper for lots and lots of little businesses! 🎉
Today we are replaying my conversation with Justin Ishbia. Justin is the Founding Partner of Shore Capital. Shore is a private equity firm that invests in microcap businesses within industry niches. With $7 billion in capital deployed but an average transaction size of just $12 million, Justin has worked to build a system to drive success for hundreds of businesses through replicable operating procedures and championing young professionals. The firm has created a moat around volume with nearly 600 acquisitions over the last three years, some of the highest numbers in the world. We discuss identifying growth prospects, constructing a meaningful board, and the business mentality behind main street, not wall street, as Justin puts it. Please enjoy my conversation with Justin Ishbia. For the f
Introduction
PatrickMy guest today is Justin Ishbia. Justin is the founder of Shore Capital. Shore is a private equity firm that invests in microcap businesses within industry niches. With $7 billion in capital deployed but an average transaction size of just $12 million, Justin has worked to build a system to drive success for hundreds of businesses through replicable operating procedures and championing young professionals.
The firm has created a moat around volume with nearly 600 acquisitions over the last 3 years, some of the highest numbers in the world. We discuss identifying growth prospects, constructing a meaningful board and the business mentality behind Main Street, not Wall Street, as Justin puts it. Please enjoy my conversation with Justin Ishbia.
The System is the Star
PatrickJustin, it's such a pleasure to have you joining me today. I remember on our very first call, taking more notes about how you were building your firm than about any firm introductory call that I can recall. And I want to start with a line that you said when we first met, which is that the system is the star as you think about building your asset management firm. Maybe describe why that term or idea is important to you and how it applies to Shore Capital.
Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
platforminvestmentbillion
15 Datasets for Training and Evaluating AI Agents
Datasets for training and evaluating AI agents are the foundation of reliable agentic systems. Agents don’t magically work — they need structured data that teaches action-taking: tool calling, web interaction, and multi-step planning. Just as importantly, they need evaluation datasets that catch regressions before those failures hit production. This is where most teams struggle. A chat model can sound correct while failing at execution, like returning invalid JSON, calling the wrong API, clicking the wrong element, or generating code that doesn’t actually fix the issue. In agentic workflows, those small failures compound across steps, turning minor errors into broken pipelines. That’s why datasets for training and evaluating AI agents should be treated as infrastructure, not a one-time res
AI can enhance decision-making, but the source of truth still matters. Manish Shukla, Head of Generative AI Platform, Data and Analytics, NatWest, highlights why reliable data and informed reasoning are critical to making the right AI-driven choices. To watch t - LinkedIn
AI can enhance decision-making, but the source of truth still matters. Manish Shukla, Head of Generative AI Platform, Data and Analytics, NatWest, highlights why reliable data and informed reasoning are critical to making the right AI-driven choices. To watch t LinkedIn
Why We Built 5 Products on FastAPI + Next.js (and Would Do It Again)
March 31, 2026 | 8 min read The Stack Decision That Shapes Everything Choosing a tech stack when you are a small team is one of those decisions that feels reversible but really is not. Sure, you can theoretically rewrite everything later. But in practice, whatever you pick on week one is what you are building on for the next two years. The frameworks you choose determine how fast you ship, how easy it is to hire (or onboard friends), and how much time you spend fighting your tools instead of building features. We are a group of friends from Tennessee building SaaS products under Obsidian Clad Labs. We have shipped five products on the same stack: FastAPI on the backend, Next.js on the frontend, PostgreSQL for the database. After a year of building, here is why we would make the same choice
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Market News
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligence, from massive industry investments to critical safety considerations and integration into core development processes. Key Areas Explored: Record-Breaking Investments: Major tech firms are committing billions to AI infrastructure, signaling a significant acceleration in the field. AI in Software Development: We examine how companies are leveraging AI for code generation and the implications for engineering workflows. Safety and Responsibility: The increasing focus on ethical AI development and protecting vulnerable users, particularly minors. Market Dynamics: How AI is influencing stock performance, cloud computing strategies, and
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!