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This Week in Startups

How to Raise a Seed Round in 2026: Ask Jason | E2294

57 min episode · 2 min read
·

Episode

57 min

Read time

2 min

Topics

Relationships, Investing, Startups

AI-Generated Summary

Key Takeaways

  • Seed Fundraising Funnel: Contact 150 seed funds to generate 50 first meetings, which yields roughly 15-20 second meetings, resulting in 2 term sheets. Second meetings are the only meaningful signal — investors take first meetings out of politeness, not genuine interest. Treat fundraising as a dedicated full-time role, ideally assigned to one of three co-founders.
  • Investor Qualification Framework: Research what stage and check size each investor has historically deployed — not what they say in meetings. Family offices writing $30M private equity checks will not write $125K seed checks regardless of positive feedback. Use Crunchbase to identify 150 funds that have previously invested in your specific stage, sector, and deal type.
  • Startup Capital Compression: Getting a product to market dropped from $3-5M and 12 months in the 1990s (requiring PR firms, office deposits, servers, HR) to under $30K today via vibe coding and cloud credits. Founders now reach first customers within days or weeks, and many apply to accelerators like Y Combinator only after hitting $100K in revenue.
  • Moat Against Frontier AI Labs: Build features that ChatGPT and Anthropic will never prioritize due to interface clutter — specifically multiplayer collaboration, community layers, marketplace integrations, and on-the-ground service fulfillment. Use the travel vertical as a model: AI handles itinerary generation, but local guide marketplaces, group voting tools, and concierge booking remain defensible product territory.
  • Hardware Startup Timing: Investor sentiment on hardware has reversed — it is now viewed as one of the few remaining moats rather than a liability. Kickstarter remains viable for pre-selling at 3-4x retail to fund first production runs. Robotics-as-a-service pricing models (charging per hour rather than upfront hardware cost) represent the emerging commercial structure for the next hardware wave.

What It Covers

Jason Calacanis answers founder questions about seed fundraising mechanics in 2026, covering investor qualification, product differentiation against frontier AI labs, hardware startup timing, and the dramatic reduction in capital required to reach product-market fit from $3M in the 1990s to under $30K today.

Key Questions Answered

  • Seed Fundraising Funnel: Contact 150 seed funds to generate 50 first meetings, which yields roughly 15-20 second meetings, resulting in 2 term sheets. Second meetings are the only meaningful signal — investors take first meetings out of politeness, not genuine interest. Treat fundraising as a dedicated full-time role, ideally assigned to one of three co-founders.
  • Investor Qualification Framework: Research what stage and check size each investor has historically deployed — not what they say in meetings. Family offices writing $30M private equity checks will not write $125K seed checks regardless of positive feedback. Use Crunchbase to identify 150 funds that have previously invested in your specific stage, sector, and deal type.
  • Startup Capital Compression: Getting a product to market dropped from $3-5M and 12 months in the 1990s (requiring PR firms, office deposits, servers, HR) to under $30K today via vibe coding and cloud credits. Founders now reach first customers within days or weeks, and many apply to accelerators like Y Combinator only after hitting $100K in revenue.
  • Moat Against Frontier AI Labs: Build features that ChatGPT and Anthropic will never prioritize due to interface clutter — specifically multiplayer collaboration, community layers, marketplace integrations, and on-the-ground service fulfillment. Use the travel vertical as a model: AI handles itinerary generation, but local guide marketplaces, group voting tools, and concierge booking remain defensible product territory.
  • Hardware Startup Timing: Investor sentiment on hardware has reversed — it is now viewed as one of the few remaining moats rather than a liability. Kickstarter remains viable for pre-selling at 3-4x retail to fund first production runs. Robotics-as-a-service pricing models (charging per hour rather than upfront hardware cost) represent the emerging commercial structure for the next hardware wave.

Notable Moment

Calacanis reveals his two least-admired figures in Silicon Valley are among the most financially successful people in business history — making the pointed observation that burning relationships, ignoring user harm, and prioritizing self-interest over ethics may actually accelerate rather than hinder extraordinary commercial success.

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Episode Transcript

People in our secret group chat have questions for me. Some might be spicy. What do you think, founders should be doing to try to sort of give themselves a little bit of moat against OpenAI? There's always gonna be a feature set that the interface of the large language model is not gonna add. Out of all the people in Silicon Valley, who's the one person you really don't like the most and why? Some people have damaged the reputation of the industry and the user base. And then some people have just maybe screwed over friends of mine. I've been a consistent critic of every time he had a chance to do the right thing for humanity, he picked his own self interest. It's a level of selfishness in decision making that and cutthroateness that I understand, but I wouldn't do and I think has damaged the reputation of the tech industry. The two people I'm talking about are two of the most successful people ever in the history of business. This Week in Startups is brought to you by Northwest Registered Agent. Get more when you start your business with Northwest. In 10 clicks and ten minutes, you can form your company and walk away with a real business identity. Learn more at northwestregisteredagents.com/twist. LinkedIn. Thanks to our partners at LinkedIn. Post your job for free at linkedin.com/twist, then promote it to get access to LinkedIn Jobs' new AI assistant. And Grasshopper Bank. Time is money. Don't waste either. Go to grasshopper.bank/twist and get an exclusive $500 cash bonus just for opening an account. Alright. Lon Harris is here. I'm Jason Calacanis. People in our secret group chat on x, formerly known as Twitter, have questions for me. I'm gonna answer them. Lon is gonna give me these questions he's vetted. Some might be spicy. Could be political. It could be, technical. It could be startup related. It could be life. It could be health. Could be dating. Could be anything. I'll answer any question for our community. If they have it, if you wanna join our community, x.com/twistartups. That's our handle. If you DM that handle, we know that you listen to the pod, and we will add you to that group. The group's got 400 people in it or so, and it's quite a nice little group talking about the topics of this week in start ups of Twist. Let's get started. Yeah. I would add if you're very active in the group and participating and sharing great stuff, there's even a higher level insider's group. Maybe you can add that one. That's very rarefied. We don't we don't just let anybody into that one. It's a funnel. We have everybody following the account, then we have four or 500 people in this crazy group chat, And then I think we have 10 people who are, like, the best people in the group chat, who we know are good actors that we're filtering into, like, …

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Tools

  • CrunchbaseRecommended
    Use Crunchbase to identify 150 funds that have previously invested in your specific stage, sector, and deal type.
  • Kickstarter remains viable for pre-selling at 3-4x retail to fund first production runs.

company

  • many apply to accelerators like Y Combinator only after hitting $100K in revenue.

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