Dan Green

I recruit A+ marketing talent for SaaS and AI startups.

[Dan Green @DanGreen_VPM]

https://t.co/OeSmkLHWR4 has partnered with https://t.co/mPHMs29DDE to produce this Salary & AI Career Impact report for marketers and tech leaders. https://t.co/KOcUNq4RNc

[Dan Green @DanGreen_VPM]

@GuntherEagleman Frank Miotke

[SaaStr.ai @saastr]

We're entering the 'post-software' era. Agents can now create applications invisibly, blurring the line between talking to an AI and using software. This rapid change is happening within 18-24 months. #AISoftware #FutureTech

[Dan Green @DanGreen_VPM]

@BussinWTB Comically opulent; dumb.

[Dan Green @DanGreen_VPM]

Sandstone raises $30M to bring AI to in-house legal teams https://t.co/9sD1pYvzOE via @techcrunch

[Tomasz Tunguz @ttunguz]

Three forces are reshaping the AI cost structure :

1. Foundation labs are moving up the stack into applications
2. Frontier model prices keep rising for the smartest models
3. Open-source models have crossed the good enough threshold for most use cases

The natural response from AI buyers is substitution. 🧵

[Dan Green @DanGreen_VPM]

Lassie Raises $35M Led by Andreessen Horowitz to Build AI for Small Businesses to Run Themselves - https://t.co/JELIo9OIfE

[Dan Green @DanGreen_VPM]

Sounds too good to be true! 😉

[@jason @Jason]

Business AI is here.. for your business! 😂

[Aaron Harris @harris]

"AI for ___" companies aren't getting funded in the growth stages.

May's Series B money went to atoms, foundational models, and datacenters.

🧠 Isomorphic Labs: $2.1B for AI foundational models and pipelines for drug design

🛰️ Cowboy Space: $275M for data centers in space

🛡️ Amca: $300M for aerospace & defense hardware with rapid prototyping

🎥 Decart: $300M for real-time AI models that turn live video into interactive worlds

Along with "smaller" rounds funding the terawatts of energy this revolution needs from nuclear fusion (Thea Energy, $100M) and ocean energy (Panthalassa, $140M).

[@jason @Jason]

Happy Pride My Brothers! 🌈

[Dan Green @DanGreen_VPM]

Catena Labs Raises $30M in Series A Funding https://t.co/SMaNPWOXjH via @FinSMEs

[Matt Turck @mattturck]

State of Enterprise AI 2026: @levie on Tokenmaxxing, The Rise of Headless, and AI-Proofing Your Job

00:00 Intro

01:18 Silicon Valley engineering vs. everyone else

05:35 Are enterprise CIOs actually bullish on AI?

08:51 Tokenmaxxing & why your AI bill is about to explode

11:34 The myth of falling token costs and AI spend escaping IT budgets

17:37 The $5B startup hiding in AI compute

18:14 The mosaic of models inside every enterprise

21:28 Why coding works and the rest of knowledge work doesn't

25:53 The Bob and Sally problem: access control breaks agents

30:31 Will enterprise AI really take 10 years to roll out

32:24 The capability overhang: why faster models slow diffusion

34:23 Data is the bottleneck (it always was)

39:02 The rise of internal forward-deployed engineers

41:23 Why the AI doomers are wrong about jobs

43:43 Headless software is inevitable

46:14 What replaces per-seat pricing

47:37 How Box itself is going headless

49:42 How the org chart actually evolves

1:00:33 Future-proofing yourself as an enterprise employee

1:06:40 Are we all just going to work for OpenAI and Anthropic?

1:07:11 Where startups can still win as the labs move up

[Auren Hoffman @auren]

single most valuable thing a 22 year old can do in 2026: build something. anything.

a chrome extension. a discord. a substack with 32 readers. script that automates something annoying. dinner series. a sculpture.

new resume is ANYTHING you taught yourself how to ship.

[David Sacks @DavidSacks]

Q: How are job postings for software engineers rising rapidly despite AI agents automating coding?

A: Because there’s far more code to manage than ever before. We’re already seeing a 14x YoY increase in GitHub commits, and it’s accelerating.

AI has dramatically lowered the cost of writing code, so it’s now being used across far more businesses, applications, and use cases.

We’re at the beginning of a massive productivity boom driven by the proliferation of bespoke software throughout the entire economy.

Coding has been AI’s breakout use case this year. The fact that it’s increased demand for software engineers — rather than decreased it — should call into question the entire “AI will cause mass job loss” narrative.

[Dan Green @DanGreen_VPM]

@Jason Yeah, and good job referring to him as "President Trump" and not just "Trump" like most of the rest of us. Smart. 😉

[Dan Green @DanGreen_VPM]

@The80HDkid @ThisWeeknAI Commencement speakers often seek to give advice to the young graduates. In fact, it's kinda standard.

[Garry Tan @garrytan]

The NYT is predictably tearing down Reese Witherspoon for encouraging moms to try AI before they ingest the anti-AI pablum as truth

Instead of linking to the NYT op-ed, I think you should watch this video and encourage you to follow Reese Witherspoon on Instagram

[Dan Green @DanGreen_VPM]

@heynavtoor Remember the "died suddenly" crowd? Correlation/causation fallacy working its magic? Anecdotal evidence is just that -- anecdotal.

And even if AI can be manipulative, so can human beings, and advertising executives, and politicians, and spouses.

[Dan Green @DanGreen_VPM]

SF-based Judgment Labs (AI Evaluation Infrastructure) raises $32M Seed + Series A https://t.co/wG6yp29xyn

[Dan Green @DanGreen_VPM]

True!! >>> "Below 20, the system does not work anymore. there is now almost no difference between a #35 school and a #350 school in the eyes of a recruiter. the brand completely collapsed and most parents and students have not been told yet." @auren https://t.co/ejAJhRyCY4

[Tomasz Tunguz @ttunguz]

It's time for the 2026 Theory GTM Survey.

This year we're testing 5 hypotheses :

1. Augmented reps outperform autonomous AI & unaugmented humans
2. AI is widening the gap between top & bottom GTM teams
3. Buyer-side AI is the bigger disruptor than seller-side
4. AI efficiency gains → headcount reduction, not revenue growth
5. Founder expectations on AI have reset downward

25 quick questions. Participants get the raw data.

https://t.co/zYNdYWTE4q