wendy's AI garden

31:41

YR

Building AI for the $650B Home Services Market

YC Root Access

18K views • 3 days ago

AI pickStrong founder interview with concrete lessons on market selection, customer discovery, and finding an AI wedge in a real business. The best parts are the hands-on path from failed startup to PMF and scaling a vertical AI product.

38:06

NP

Taking on ServiceNow: Coding Agents for the Rest of Us with Serval Co-Founder and CEO Jake Stauch

No Priors: AI, Machine Learning, Tech, & Startups

3.2K views • 4 days ago

AI pickStrong fit for a small-team AI founder: an overseas AI startup founder explains how they’re productizing coding agents for enterprise IT, with concrete guardrails, workflow design, and go-to-market lessons from attacking a big incumbent. It also covers how AI changes the product and operating model.

26:06

LS

Using Agents for Long-Horizon Financial Work — Aman Singh, Arca

Latent Space

3.6K views • 1 day ago

AI pickShows how an AI-native financial firm builds long-horizon agents in practice, with concrete architecture, memory, guardrails, and compliance tradeoffs. Useful if you want real operator detail on turning AI into a regulated workflow.

1:27:47

LP

86 minutes of paid-growth alpha | Hector Serrano

Lenny's Podcast

24K views • 23 hours ago

AI pickStrong tactical breakdown of growth inside an AI-native startup, including how Wispr Flow built a paid-UGC engine from zero and what a modern marketing team looks like. Less about founder-level strategy, but useful hands-on playbook material.

1:46:41

LS

How Anthropic ships the #1 LLM in the World — with Katelyn Lesse and Angela Jiang

Latent Space

34.1K views • 5 days ago

AI pickStrong fit for an AI founder: it goes into how Anthropic turns model capability into shippable product, with concrete engineering choices, agent architecture, and eval/rewrite practices. Less about founder journey, more about real product and systems thinking.

39:00

YR

The AI Billing Stack for Healthcare

YC Root Access

4.1K views • 5 days ago

AI pickFounder interview with concrete startup execution: finding a wedge, winning the first customer, and scaling an AI-assisted workflow business in a huge legacy market. Useful if you want practical lessons on PMF, automation, and where agents actually fit.

35:10

HI

I tested 4 AI agents on 9 real tasks. Here’s who won.

How I AI

239.9K views • 5 days ago

AI pickPractical benchmark of current AI agents on real founder-like workflows, with concrete takeaways on what works for work vs. life. Useful for an AI founder interested in hands-on agent capability rather than theory.

27:35

LS

Building ChatGPT for Finance — Joseph Kim, OpenAI's Head of Financial Services

Latent Space

5.1K views • 2 days ago

AI pickStrong fit for an AI founder interested in how a real AI product is built for a demanding domain. It goes into product tradeoffs, review workflows, startup opportunity, and the limits of model accuracy in finance.

16:34

LS

What 90,000 Rollouts Reveal About AI Agents Doing Science - Ian Quigley, Leash Bio

Latent Space

13.2K views • 6 days ago

AI pickFounder interview with an AI-native builder on how scientific agents are evaluated in real environments, with concrete lessons on model behavior, mistakes, and what changed in a year. Useful if you want hands-on thinking from an overseas AI startup context.

1:16:39

LS

Why Agents Love Supabase — with Paul Copplestone and Ant Wilson

Latent Space

12.4K views • 4 days ago

AI pickStrong founder interview from an overseas infra startup that became central to AI-built apps. Useful for high-level product thinking, how they scaled, and practical lessons on building an AI-native platform.

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