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Why We Sold To Grammarly | Rahul Vohra

Jun 21, 2026 · 1:01:18

Rahul Vohra, founder of Superhuman and now CEO of Superhuman Group after the company's acquisition by Grammarly, argues that email remains the most enduring layer of work identity and that AI will radically transform the inbox experience while distribution and taste-driven focus are the lasting moats in an era of near-zero software costs. He explains that email addresses are owned by companies and serve as the root identity and authentication unit, with professionals spending 3 billion hours daily on email. Voice features like Right With Voice on mobile now drive 30% of usage gains, and the 'Sent via Superhuman' signature still generates 20% of site traffic. The acquisition story reveals that Grammarly independently chose the Superhuman name via a branding agency, leading to the rare rebrand of the acquirer. Superhuman Group operates as a multi-product bundle ($15/$30 per month) spanning email, documents (Coder), writing agents (Grammarly), and proactive AI (Superhuman Go), with priorities on M&A to fill missing categories like chat. Vohra also angel-invests via Todd and Rahul Capital, backing companies like Loyal (which received FDA efficacy approval for a dog lifespan drug) and…

Inside Gusto's Founding Story | Co-Founder & CTO Eddie Kim

Jun 6, 2026 · 54:31

Eddie Kim, co-founder and CTO of Gusto, reveals how the company grew from a 2012 YC startup called ZenPayroll to $1B in annual revenue and 500,000 customers by cracking the small business market against investor skepticism. He credits the 15-year co-founder relationship with Josh Reeves and Tomer London to shared values and radical directness, arguing that packaging feedback undermines trust. Kim describes building Gusto Co-Founder, an AI agent that automates back-office tasks via chat, with a team of five in eight weeks using Claude Code, embodying how the distinction between engineer and designer disappears. He calls the blank canvas problem AI's main barrier to mainstream adoption and predicts solopreneurs will thrive as AI enables anyone to become a builder.

We Ignored Silicon Valley Advice for 3 Years | Nicolas Sharp (Attio)

Apr 30, 2026 · 57:49

Nicolas Sharp, co-founder of Attio, explains why the CRM startup spent 1,000 days building in stealth—a deliberate counter to the 'ship fast' philosophy he learned from a previous venture—and how that architectural investment now powers Attio's AI-native platform. He argues that the half-life of product-market fit has collapsed, forcing companies to simultaneously iterate and scale, and that Attio's high-resolution data pipelines are critical for deploying AI agents. Sharp also details how Attio used manual waitlist onboarding to validate demand, how fundraising expectations have risen dramatically (Attio raised $52M at Series B with accelerating growth), and why Europe is having a breakout moment as an AI hub, citing talent from DeepMind and Palantir as catalysts.

He Built A $1.8B AI Company With No Experience | Max Junestrand

Dec 14, 2025 · 52:02

Max Junestrand, CEO of legal AI company Legora, explains how AI is rewiring the legal profession, arguing that not building in AI is the biggest career risk. Legora, which went through YC W25 and has raised $260M, doubles ARR every quarter by embedding with law firms to solve real problems. Junestrand details how AI adds a fourth step to the lawyer career ladder—junior associate, senior associate, partner, AI—pushing junior lawyers to focus on intelligence and client skills earlier. He describes Legora's shift from chat to large-scale document review and Word-native drafting, and predicts a move from billable hours to outcome-based pricing as AI automates more work. Junestrand also shares his fundraising approach: build a great business and investors come to you, with Legora's Series B closing in a week and Series C in a week and a half.

Inside the $11M YC Startups That Took Over 2025

Oct 19, 2025 · 1:27:39

This episode profiles six YC Summer 25 startups: Frizzle (AI grading for math teachers, saving 10+ hours/week with 98.9% accuracy), Floot (vibe-coding tool for non-coders, 20,000 users in three months, acquired via Reddit competitor subreddits), Sagekit (chat-based automation platform replacing Zapier, building integrations at 5–10 per week, targeting solopreneurs and SMBs), April (voice AI executive assistant for email and calendar, priced at $15/month, initially launched without free trial then corrected), Cacao (dollar app for Brazil using stablecoins, moving hundreds of thousands in volume, focused on remote workers and freelancers), and Flywheel (retrofit remote control for excavators to improve safety, with two Singapore and three US customers, aiming to reduce ~1,000 annual US construction deaths). Each founder shares early mistakes—Frizzle’s underestimating K-12 sales cycles, Floot’s free pricing delaying feedback, April’s no-trial launch, Cacao’s need for regulatory navigation, and Flywheel’s productization challenges—and explains their go-to-market strategies.

300 Million Downloads (Matt Rouif, Photoroom)

Aug 16, 2025 · 48:07

Matt Rouif, co-founder of Photoroom, explains how the photo editing app grew from a two-week prototype in 2019 to 300 million downloads and $20 million in annual revenue on only $2 million raised, becoming the largest AI image editing tool globally. He details early tactics like localizing in 10 languages and conducting customer interviews at McDonald's. COVID accelerated adoption as sellers moved online, and Photoroom's focus on trust—avoiding AI hallucinations in product shots—set it apart for e-commerce. Rouif shares plans for a video editing beta and personalized advertising at scale, where infinite marketing assets are tailored per user. He identifies trends: specialized AI models for mobile speed and trust, AI video maturing in 2025-2026, and personalized advertising that creates unique imagery for each segment.

The Founding Story Of Zapier (Wade Foster)

Jul 24, 2025 · 51:33

Wade Foster, co-founder of Zapier, recounts the company's 2011 founding as an integration tool born from a forum thread and bootstrapped to scale without raising beyond $1.3 million. He explains how early growth came from answering forum posts with a prototype that converted at 50% despite being poorly designed, and how the company maintained a 'don't hire till it hurts' philosophy. Foster details the decision to avoid VC because customer acquisition costs were low and the business was profitable within a year, achieving breakeven with only tiny monthly losses. He shares two Paul Graham lessons from Y Combinator: focus only on writing code and talking to customers, and target 10% week-over-week growth, which the company sustained for years. On AI, Foster notes that AI is Zapier's fastest-growing category at nearly 300% year-over-year, and the company now offers agents built by non-technical users through natural-language workflows. He argues that seat-based pricing is dying and predicts a shift to usage-based models, while identifying the biggest AI opportunity in legacy industries like healthcare that work with unstructured data.