brought to you with

In this market, IPO ambition may be scaling faster than the models themselves.

Cerebras just pushed its target to $4.8B, while an ex-OpenAI researcher is reportedly chasing a $4B valuation six weeks after incorporation; before shipping a demo. In AI, pedigree is starting to look like product-market fit.

Meanwhile, mega-rounds are locking up compute, talent, and enterprise deals before most startups even leave the runway.

This week: who’s buying speed, and who’s just buying time.

-🕶️

✦

The founder’s dashboard / Your quick roadmap

brought to you with

✦

FOUNDER BOARD

🏙️ CEOs can borrow city‑hall playbooks: coalitions, hard deadlines, data; Baltimore cut vacants to 11,800.
🚀 Three creators unlocked scale with first hires; one ops hire at $2.5K/mo doubled revenue to $30K/mo.
💰 Profit fuels exits, but value sells; plan 3–5 years and reduce owner reliance; one firm jumped from $1.5M to $30M.
🧠 Enterprises can trade brittle if‑then stacks for learning systems with guardrails, real‑time eval loops, and HITL.

Financial Model Template

Use Slidebean's FREE Financial Model Template to estimate your revenue, expenses, and how much money your startup needs to raise.

Check it out

✦

RUSHIN' ROULETTE

Six bullets of updates

🦾 76% of firms are now hiring chief AI officers to steer their corporate AI strategies amid growing C-suite shifts.
🔋 Japanese telecom giant teams up to develop AI-optimized battery cells as storage needs soar in the race for smarter hardware.
⚡ Microsoft’s $1B Kenya data center hits a snag after talks stall over guaranteed capacity commitments.
🚀 With $275M freshly raised, Cowboy Space aims to launch orbiting data centers but first, it needs more rockets in the sky.
🌋 Geothermal IPO heats up as Fervo Energy ups its target to $1.82B, driven by soaring AI-fueled power demand.
🤖 Nadella is set to testify on Microsoft’s $13B stake in OpenAI as Musk’s megatrial enters week three.

✦

SPONSOR

AI-Powered Investing That Pays You Monthly

Dividends is an investing platform that lets you own a piece of established online businesses and earn part of their monthly payouts in just a few clicks.

Their mission is to modernize investing to create more income, not only stock appreciation.

Founded by Mike Swigunski, bestselling author & Empire Flippers employee #4, who has facilitated over $120M in online business deals.

Invest & Learn More: wefunder.com/dividends

LIVE Webinar (May 20th): dividendscapital.com/live

✦

STARTUP NEWS

Ex-OpenAI Researcher Launches Startup Seeking $4B Valuation

Photo by Jakub Żerdzicki on Unsplash

A six-week-old AI startup is trying to skip straight to late stage. Core Automation, founded by ex-OpenAI researcher Jerry Tworek, is reportedly chasing a $4B valuation almost before the ink on the incorporation papers is dry.

This is pedigree arbitrage at scale: investors pricing not current traction, but the option value of “what an ex-OpenAI brain might build” in a hot category. A six-week-old AI startup marketing itself at multi-billion levels signals that the real product being sold, for now, is narrative.

For early-stage teams, the benchmark quietly shifts. Capital will still flow to more grounded rounds, but comparisons to deals like this will anchor expectations on both sides of the table, and raise the bar on differentiation for any AI infra or automation pitch without a similar halo.

Keep reading

✦

STARTUP TV

yeah... no wonder movies look cheap on new TVs

You’re probably watching movies wrong — and it’s not your fault.

There’s a setting buried inside your TV that completely changes how films look. It makes everything smoother… cleaner… almost too perfect. And once you notice it, you can’t unsee it.

In this episode, we break down the biggest mistake in the history of TV: the mismatch between how movies are shot and how screens display them. From 24fps film to 60Hz TVs, from 3:2 pulldown to motion smoothing (“soap opera effect”), we explain why your TV is literally rewriting what directors intended you to see.

✦

BIG TECH NEWS

Cerebras Systems Lifts IPO Price Range, Targets $4.8 Billion

In this market, the only thing scaling faster than model size is IPO ambition. Cerebras is raising its IPO range to $150–$160, aiming for $4.8B in proceeds and a ~$49B fully diluted valuation: roughly 2x its February round. That’s public-market validation that non‑GPU silicon is no longer a sideshow.

The bid isn’t just on hardware promises. Cerebras has already secured a massive OpenAI commitment and is selling capacity as a cloud service, not boxes. That shifts it from component vendor to alternative infra plane alongside hyperscalers.

AWS’ decision to pull these chips into its data centers signals everyone expects customers to demand non‑Nvidia options. If this IPO prices well on May 14, it will set the reference point for every AI hardware startup arguing it can turn custom silicon plus cloud into a defensible, capital-heavy moat.