update less than a week in, cfo.ai is growing faster than runway has ever grown in any month in our entire history anyway 1. here's your obligatory launch video 2. you can now just sign up and try cfo.ai instantly. for free. no waitlist. 3. tag @arithecfo with your most unhinged financial modeling requests. she's back on duty and feeling spicy. (and so is @gerithecfo but people won't stop asking him about his memecoin 🤷)

The 2026 VC Digitization Journey Where does your firm sit on the spectrum? 1. Old-school VC - Manual workflows. Salesforce, email, spreadsheets, gut feel. Most of the global VC market still lives here 2. Productivity VC - Modern off-the-shelf tools. Airtable, Slack, Notion. Real efficiency gains, no real intelligence layer 3. Workflow VC - Lean teams. No dedicated engineers. Investors and operators leverage AI to build their own automations 4. Fullstack VC - Dedicated engineering team. Proprietary data infrastructure and internal tech stack to gain real alpha 5. Quant VC - Fully autonomous investing. AI works without human-in-the-loop. Purist, rare, contested

This looks really awesome. Many flops, much #NVIDIA B300s, deep infrastructure.

New @ThePeelPod with Nuno at Chamaeleon Chamaeleon is an early stage VC firm that borrows tools like factor analysis from public-market investors, operating more like a quant hedge fund than a traditional venture firm. We talk through a bunch of data that cuts against the common narrative in venture, including why repeat founders aren't always the safer bet, why sub-$100m funds catch the majority of fund-returning deals, and why 10x might be a better target than 100x. Thank you to @numeral, @FlexSuperApp, @Amplitude_HQ, and @merge_api for supporting this episode. Timestamps: 1:00 When 1st time founders outperform serial entrepreneurs 8:05 Mantis: factor-driven quant model for VC 18:33 Why most VC’s are not data-driven 22:28 Top 1% VC fund performance 27:41 Early customer sentiment stronger success indicator than PMF or Team 34:09 Importance of co-investors on performance 39:42 Sub-$100M funds capture 70% of fund-returning deals each year 43:53 The AI neolab bubble 52:16 Marketing games that VC’s play 55:22 Most investors are not high conviction 56:43 Startups not raising for at least 3 years are 5x less likely to succeed. 10x less likely at 5 years. 1:00:19 Emerging managers have lowest LP interest in the last 15 years 1:11:19 LP capital is much less concentrated than in 2011 1:16:28 The importance of remaining relevant 1:21:01 You must lean into your unique edge as an investor 1:23:18 Pros/Cons of an alumni network venture strategy 1:28:29 Specialist funds outperform generalists (with a catch) 1:35:22 The data says go for 10x, not 100x returns 1:41:41 Should you start or join a VC firm today? 1:48:07 Nuno’s collection of 270+ phones 1:53:16 Racing cars (and winning championships)