Lessons from Mike Heller, partner at Floodgate

Lessons from Mike Heller, partner at Floodgate Mike Heller is a partner at Floodgate focused on early stage go to market strategy. He helped build the...

Lessons from Dannie Herzberg

Lessons from Dannie Herzberg Before her roles as President of Baseten and Partner at Sequoia Capital, Dannie Herzberg built her reputation scaling...

Daily Digest - 2026-05-19

1. I tried letting my scheduled agents deliver only HTML, and I'm not going back — Vox Why read: Why you should stop making your agents dump Markdown into...

Daily Digest - 2026-05-18

1. The new startup bottleneck — Hiten Shah * Why read: Shipping fast is easy now; the hard part is knowing if what you built actually works. * Summary: AI lets you push code daily, but if you aren't talking to users, you're just making noise. The bottleneck moved

Lessons from Kara Goldin

Kara Goldin launched Hint Water from her kitchen to solve her own diet soda addiction and grew it into a massive independent beverage brand without any prior food industry experience. She is recognized for her "undaunted" philosophy, which teaches that building a business is not about eliminating fear,

Lessons from Jay Yang

At 19, Jay Yang landed roles at AppSumo and Acquisition.com by sending unsolicited work instead of traditional resumes. His book, You Can Just Do Things, outlines his case for ignoring gatekeepers and proving your value upfront. This profile breaks down his specific tactics for skipping the credential ladder and

Daily Digest - 2026-05-17

1. Rent the Intelligence. Own the Context. — Ashwin Gopinath * Why read: A framework to help enterprises avoid AI vendor lock-in. * Summary: Companies focus on model dependency, but the real risk is letting one vendor control the context layer. Models are converging. An organization's working memory (exceptions, decisions, scars)

Daily Digest - 2026-05-16

1. This time is Different — sudarshan * Why read: A case for why the current AI cycle is structurally different from past tech bubbles. * Summary: The author argues the AI boom isn't a typical bubble because revenue growth, user adoption, capital, and experienced founders are converging at once. Adjusted
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