Margin For Error: The Story of Entrepreneurs, Investors and Platform Builders
The playbook for building a business doesn't exist. Margin for Error is where entrepreneurs, investors, and operators share what they've figured out along the way.
- Indexed episodes, last 90 days
- 3
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- Sep 25, 2026
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- Earliest in this view
- Jul 31, 2026
Latest episodes
E24 | Sameer Jagetia on Why Your Financial Model Should Run Your Business (opens the original)
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Most founders build financial models for someone else. An investor asks for projections. A lender wants numbers. The board needs a forecast. The spreadsheet gets built, the assumptions get polished, and once the meeting is over, the model quietly disappears. Sameer Jagetia thinks that gets financial modeling backwards. After starting his career analyzing companies in investment banking and hedge funds, Sameer moved to the other side of the table, founding Redbooks and Robuzz and advising early-s
E23 | Clay Ostrom of Map and Fire: Why the Best Brand Strategy Starts With Customer Research (opens the original)
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Most founders think they understand their customers. Clay Ostrom has spent more than a decade discovering how often they don't. Clay is the founder of Map and Fire , a market research and brand strategy agency that takes a data-first approach to positioning. Instead of starting with creative ideas, features, or messaging, Clay starts by listening to the people who actually make the buying decision. In this episode of Margin for Error , Clay explains why some of the most expensive mistakes in bra
EP 22 | Your Competitors Launched a Sale While You Were Sleeping. This AI Caught It. | Jeff Neil, ShopVision (opens the original)
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Most e-commerce brands are making decisions a week too late. By the time a data analyst surfaces the insight, the competitor has already moved. Jeff Neil, co-founder and CTO of ShopVision AI, built a platform to fix that — and the customer stories that came back were bigger than he expected. In this episode of Margin for Error, Jeff breaks down how ShopVision AI became the competitive intelligence engine for brands like Arc'teryx and Herschel, what it took to build a proprietary dataset of over
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