Doug Dyer

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Doug Dyer

Doug Dyer

@TheFundCFO

CFO/COO @chapterone | Investor | Founder @AirstreamAlpha | Ex-LP @$2b+ E&F | Alum @UNC @KenanFlagler @KelloggSchool | Writing: https://t.co/X5UjzLJG04

Katılım Aralık 2010
3.8K Takip Edilen2K Takipçiler
Doug Dyer
Doug Dyer@TheFundCFO·
We used AI to build a VC fund model. Best output wasn’t the model. It was the dashboard: • adjust assumptions • see J-curve update • explain outcomes clearly Problem: 👉multiple rebuilds needed 👉errors in carry + timing AI builds fast. You still validate the logic. thefundcfo.substack.com/p/325-ai-fund-… #VC #FundFinance #AI
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Peter Walker
Peter Walker@PeterJ_Walker·
Two of my favorites from @loganbartlett's most recent Market Update for Redpoint 1) Startups growing faster than ever before 2) Fewer ppl per unit of revenue than ever before Combined, you get most of the explanation why everyone feels wild excitement + growing uneasiness
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Doug Dyer
Doug Dyer@TheFundCFO·
From Bain’s Global Private Equity Report 2026: • Buyout deal value: $904B • PE exits: $717B • Private capital raised: ~$1.3T • Funds closed: ↓ ~18% YoY • Avg holding period: ~7 years Deal activity is improving, but fundraising and liquidity remain tight. Breakdown in today’s newsletter: thefundcfo.substack.com/p/321-bain-pe-… #privateequity #venturecapital
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Keith Rabois
Keith Rabois@rabois·
Agree.
andrew chen@andrewchen

prediction re the end of spreadsheets AI code gen means that anything that is currently modeled as a spreadsheet is better modeled in code. You get all the advantages of software - libraries, open source, AI, all the complexity and expressiveness. think about what spreadsheets actually are: they're business logic that's trapped in a grid. Pricing models, financial forecasts, inventory trackers, marketing attribution - these are all fundamentally *programs* that we've been writing in the worst possible IDE. No version control, no testing, no modularity. Just a fragile web of cell references that breaks when someone inserts a row. The only reason spreadsheets won is that the barrier to writing real software was too high. A finance analyst could learn =VLOOKUP in an afternoon but couldn't learn Python in a month. AI code gen flips that equation completely. Now the same analyst describes what they want in plain English, and gets a real application - with a database, a UI, error handling, the works. The marginal effort to go from "spreadsheet" to "software" just collapsed to near zero. this is a massive unlock. There are ~1 billion spreadsheet users worldwide. Most of them are building janky software without realizing it. When even 10% of those use cases migrate to actual code, you get an explosion of new micro-applications that look nothing like traditional software. Internal tools that used to live in a shared Google Sheet now become real products. The "shadow IT" spreadsheet that runs half the company's operations finally gets proper infrastructure. The interesting second-order effect: the spreadsheet was the great equalizer that let non-technical people build things. AI code gen is the *next* great equalizer, but the ceiling is 100x higher. We're about to see what happens when a billion knowledge workers can build real software.

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Jeff Morris Jr.
Jeff Morris Jr.@jmj·
Building a venture firm is hard. I'd say it takes 5+ years to feel the benefits of compounding networks, thesis/strategy ideas & team. I can honestly say @chapterone is doing better work in the past year than anytime in our firm history. We've been absolutely cooking this year. And these are only the investments that are publicly announced.
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