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Tri Diligence

Author: Tobbe

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Description

Business ideas, unwrapped.

Tri Diligence is an AI-produced show where one business idea meets three recurring perspectives. Each episode we take one idea — yours, ours, or one plucked from the headlines — and unwrap it from three angles:

  • Jake, the marketer — brand, customers, and whether anyone will love this enough to tell a friend.
  • Sarah, the backer — the unit economics, the margins, the market size, and when the money comes back.
  • Ryan, the technologist — what you buy, what you build, and the operational traps hiding under the pitch.

We walk the whole business model — customers, value, channels, revenue, costs, partners — and pressure-test it against how comparable companies really performed: who IPO'd, who got acquired, who quietly went to zero. No hype, no hand-waving — just real data and the uncomfortable questions.

Every episode ends the way real diligence should: three clear verdicts — invest, wait, or pass — and the one first step each host would take.

Good ideas welcome. So are the hard numbers.

Jake, Sarah, and Ryan are recurring AI host perspectives. Tri Diligence is made for entertainment and idea-exploration, not investment advice.

18 Episodes
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Could independent U.S. burger restaurants pay for a conversational agent that answers recurring sales questions from point-of-sale data—with every number traceable to its source? Jake, Sarah, and Ryan test the product against built-in reporting, integration friction, accuracy, trust, and the economics of a small paid pilot. Full analysis, transcript and the three verdicts: https://pods.purpur.se/tridiligence/ep19/
Can two rows of vines, half a hectare, or a larger vineyard produce a real income after paying the owner? Jake, Sarah, and Ryan use Virginia as a U.S. starting point to separate grape growing, a wine brand, and winery ownership—and test whether repeat customers and contract production should come before land, vines, and stainless steel. Full analysis, transcript and the three verdicts: https://pods.purpur.se/tridiligence/ep18/
A load-planning product for paper rolls and other irregular freight promises fuller trailers, faster planning, and fewer costly mistakes. But can a specialist optimizer win U.S. shippers and carriers when established logistics tools already handle parts of the problem—and when every recommendation has to respect real-world safety, data quality, and warehouse workflows? Jake, Sarah, and Ryan test the market, pricing, integrations, liability, and the smallest pilot that could prove measurable value. Full analysis, transcript and the three verdicts: https://pods.purpur.se/tridiligence/ep16/
An AI-assisted property inspection service promises faster reports, searchable photo histories, and clearer maintenance priorities for housing associations and small property owners. But can a field-service business scale beyond technician hours without creating unacceptable liability? The hosts test pricing, recurring contracts, route density, human review, data governance, and the boundary between useful documentation and legally qualified inspection. Full analysis, transcript and the three verdicts: https://pods.purpur.se/tridiligence/ep15/
Small-batch premium ice cream starts with a simple temptation: make bold local flavors, sell them at a healthy retail price, and grow from a neighborhood scoop counter into cafés, restaurants, and grocery shelves. But seasonality, waste, cold-chain operations, food-safety rules, staffing, and squeezed wholesale margins can turn a charming dessert business into a demanding manufacturing operation. Can a disciplined direct-sales pilot prove the model before the freezer bill gets serious? Full analysis, transcript and the three verdicts: https://pods.purpur.se/tridiligence/ep14/
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