Some pitch decks raise money. This one built a $12B MONSTER 🔥

In 2019, Brex used this deck to raise $57M in Series B funding, and it became one of the most legendary fintech rounds of the decade.

The founders, Henrique Dubugras and Pedro Franceschi, had already built and sold a company as teenagers.

But Brex was different.

They were attacking one of the most broken parts of the startup ecosystem: corporate credit cards for fast-growing startups.

Instead of relying on personal guarantees and slow underwriting, Brex built a software-driven financial platform designed specifically for startups.

Investors immediately understood the scale.

This deck was backed by some of the most powerful names in Silicon Valley:

• Peter Thiel
• Max Levchin
• Yuri Milner
• Y Combinator

And the trajectory after that round was insane.

Brex scaled from a startup credit card into a full financial operating system for companies, expanding into spend management, banking, global payments, and treasury products.

Within a few years, the company had reached a valuation of $12B and became one of the fastest-growing fintech companies of the decade.

And it all started with this deck.

Just a brutally clear story about a massive problem, a product that solved it, and a market big enough to build a generational company.

This is one of the best fundraising decks you’ll ever see.

Because it shows exactly how to raise venture capital when everything matters:

• how to frame a massive opportunity

• how to explain a new fintech category

• how to make investors feel the inevitability of the company

  ---

  

  Apply to The Pitch by Deel now

  ---

In this breakdown we’re sharing:

1. The ORIGINAL 2019 Brex Series B deck used to raise $57M
2. A second version of the deck that has circulated online and been reconstructed from public sources

So you can see how one of the most iconic fintech companies in the last decade convinced investors to bet big.

Here you go 🔥

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Before reusable rockets.
Before Starlink.
Before SpaceX became the most important private company in aerospace.

There was just a pitch deck.

And one idea that sounded insane at the time:

Rockets shouldn’t be disposable.

For decades the space industry worked like this:

Build a rocket for hundreds of millions → launch it once → watch it burn in the ocean.

Every launch destroyed the vehicle.

Imagine throwing away a Boeing 747 after every flight.

That was the norm.

SpaceX’s thesis was simple and revolutionary:

1. Make rockets reusable.
2. Drop launch costs by 10x.
3. Unlock the entire space economy.

Today that idea powers:

• Starlink, the fastest-growing satellite internet network in history 🔥
• The majority of global satellite launches
• NASA missions and national security launches
• The foundation of the new commercial space industry

And the market is starting to price it in.

Private investors already value SpaceX at $1.5T+, making it one of the most valuable private companies on Earth.

But the bigger story is what happens if SpaceX ever goes public.

Several analysts believe that if SpaceX ever goes public, it could become one of the most important IPOs of the decade, driven by:

• Starlink becoming a global telecom giant
• Dominance in launch infrastructure
• Future space logistics and transportation

In other words:

SpaceX isn’t just a rocket company.
It’s becoming the infrastructure layer of space.

Apply to The Pitch by Deel now

The Legendary SpaceX Pitch Deck 🚀

Before all of this…

Before the rockets landing themselves…

Before the $350B valuation…

There was a pitch deck that explained why the economics of space were about to change forever.

Below is the original SpaceX deck that helped start the private space race.

🔥 Access the SpaceX Pitch Deck Below

Get access to the original SpaceX deck plus the pitch decks from some of the most iconic companies ever built:

• OpenAI
• Anthropic
• Figma
• Revolut
• ElevenLabs
• And many more

👇 Unlock the full archive below.

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🚨 Letter AI just closed one of the cleanest, strongest Series B rounds of 2026.

$40M Series B… four months after its last raise.

What is Letter AI?

Letter AI is building the AI-native operating system for revenue teams.

And this feels generational 🔥

They’re collapsing the entire bloated GTM stack into one unified system that does content, training, coaching, deal rooms, revenue intelligence, and real-time guidance: all inside the workflow, all powered by AI.

No more digging through Notion.
No more outdated decks and fragmented CRMs.

Letter is becoming the command center that tells reps what to send, how to respond, what to say, and how to close in real time.

This isn’t “AI for sales.” This is AI replacing the stack.

And when a 25-person team is already winning global enterprises and raising $40M led by Battery Ventures just months after their last round…

That’s not a feature company. That’s infrastructure in the making 🚀

📢 CALLING ALL FOUNDERS 📢

Deel is launching The Pitch: a global startup pitch competition, presented by J.P. Morgan.

Up for grabs…

• 💰 Up to 100 regional winners receive $50,000 in investment

• 🌍 Up to 10 global champions win $1M in investment

• 🤝 Plus access to exclusive startup perks and a global founder community

If you’re building something bold, this is your moment.

Apply Now 👇

Why did Battery Ventures go so all into Letter?

Because this isn’t incremental software, it’s a full-stack replacement of a broken category:

Old enablement made teams manage PDFs. Letter rebuilt it AI-first and became the single source of GTM truth.

When customers rip out multiple tools for one platform (and reps say they’d riot if it disappeared) that’s infrastructure.

Where Letter Is Now:

• 25 employees

• Customers in 30+ countries.

• Global brands like Adobe, Lenovo, Novo Nordisk, and Plaid.

• $40M Series B led by Battery Ventures (4 months after Series A).

Small team. Enterprise logos. Fast follow-on capital.

Anyways, so what did I do?

I went straight to Ali Akhtar and convinced him to share their Series B deck, solely so I could break it down and share it with you guys.

And I’m not exaggerating: this is one of the tightest, hardest Series B decks I’ve seen at this stage. Especially in GTM.

It’s sharp. Ruthless. Every slide moves the narrative forward.

In essence: they’re cracked.

If you’re raising right now, you should be studying this.
This is how you pitch infrastructure, not a feature.

Below is the full, unfiltered Letter AI Series B deck 🔥EXCLUSIVE: The $40M Letter AI 8-Slide Pitch Deck 🔥

🔥 Access now

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Perplexity isn’t “another chatbot.”

It’s one of the few AI startups with a credible shot at owning the default interface for search: ask a question, get a synthesized answer, and see the sources.

And the market has been funding that thesis aggressively.

• In 2023, Perplexity raised a $25.6M Series A led by NEA, with participation from Databricks Ventures and a stacked group of top-tier angels.

• In January 2024, it raised $73.6M led by IVP, with participation from Nvidia and Jeff Bezos.

• By mid-2024, it raised roughly $250M at a ~$3B valuation, including SoftBank Vision Fund 2.

• In December 2024, it reportedly closed a $500M round valuing the company at around $9B.

• As of 2025, total capital raised has been reported at roughly $1.5B.

• Recent fundraising discussions in 2025 suggested the company was at just under $100M ARR.

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This isn’t just hype. It’s one of the fastest-scaling consumer AI products in the world, going directly after Google’s core behavior: search.

This issue opens up the hood of Perplexity’s December 2023 pitch deck.

I compiled the deck and included:

1. How Perplexity got valued this high (the real investor logic

2. The fundraising strategy that unlocked tier-1 VCs (and the playbook behind it)

3. The early deck + the key slides worth stealing

Check out the Perplexity deck with the free trial (no strings attached), or jump straight into premium!

Everything included with a subscription

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🖼️ 27 Most Promising AI Startup Pitch Decks Backed by Top Investors in 2025

🔥 How to Get Into YC: The Spring 26’ FULL GUIDE

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Throxy raised $6.2M, led by Base10 Partners with participation from Y Combinator and a stacked group of operators, investors and angels (including myself!) who understand sales infrastructure at scale.

This is the deck they used. And it’s exactly how early-stage decks should look.

This isn’t another “AI SDR” company.

Throxy is building a fully-managed outbound system for B2B companies selling into manufacturing, logistics, and supply chain.

No SaaS, no internal SDRs.

They combine AI agents for prospecting and research with human operators for messaging and optimization, and deliver meetings directly into customers’ calendars.

And it’s already working:

• $🤫million ARR

• $60K ACV

• 2-month CAC payback

• 16-day sales cycle

• Profitable

• Six-figure pipelines generated for 40+ companies in legacy sectors

Outbound has been broken for decades:
Buy data → blast emails → burn the market → repeat.

Throxy flipped the model.

They don’t sell software. They sell pipeline.

First impressions matter.

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📚 Table of Contents

• Slide 1: Throxy

• Slide 2: Founding Team

• Slide 3: Problem - The $770B Labor Inefficiency

• Slide 4: Why AI SDRs Fail

• Slide 5: Focus - The Vertical Wedge Strategy

• Slide 6: Market - Replacing Headcount, Not Adding SaaS

• Slide 7: Traction & Unit Economics

• Slide 8: Vision

Below is the full slide-by-slide breakdown of how this deck sells a new category in outbound and why it resonated (and why I backed them after seeing their deck).

Access the full breakdown below 👇

EXCLUSIVE: Throxy’s 8-Slide Pitch Deck Breakdown 🔥

Slide 1/8: Throxy - ‘Sales need outcomes, not software’

Simple & direct. Instantly clear.

This opening line reframes the entire category in one sentence.

They’re not selling an AI tool. They’re selling revenue outcomes.

That distinction matters. Most AI SDR startups compete on features. Throxy competes on results. When you shift from “software buyer” to “revenue owner,” pricing power and urgency increase immediately.

Steal this: If your market is crowded, redefine what you’re selling in one sentence.

Slide 2/8: Founding Team

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At just 17 years old, Arlan Rakhmetzhanov dropped out of high school, got into Y Combinator, built Nozomio and raised a $6.2M seed round from some of the best investors in the world:

From CRV, BoxGroup, and LocalGlobe, with participation from Y Combinator and 20VC Product, plus an absurd operator + angel lineup: Paul Graham (YC), Gustav Söderström (Spotify CTO), Thomas Wolf (Hugging Face), Tomer Cohen (LinkedIn CPO), Jack Brody (Suno CPO), Geoff Charles (Ramp CPO) and operators from OpenAI, Google DeepMind, Databricks, Airbnb, and Microsoft (and yes, me too).

LocalGlobe is one of the most efficient seed investors in the world at producing unicorns: they’ve consistently ranked at the very top of “unicorn backer / unicorn hunter” lists (Dealroom rankings), basically making a business out of spotting $1B outcomes before they look obvious.

And the most important part:

The deck shows real ARR growth — the kind that turns “interesting idea” into “we’re already winning.”

So how did a 17-year-old make that round happen?

That’s the core of the story:

• $6.2M raised

• from investors who rarely miss at seed (LocalGlobe + top-tier syndicate)

• with ARR growth already moving in the right direction (in the deck)

So how did a 17-year-old convince that group (including me) to write the check?

He did it with a cracked 9-slide deck: one deeply correct insight about where agents actually break, plus enough traction to make it undeniable.

Below is the slide-by-slide breakdown and you can access the full Nozomio deck now via the free trial.

🔥 Access now

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EXCLUSIVE: NOZOMIO 9 Slide Pitch Deck Breakdown 🔥

Slide 1: Nozomio

Slide 2: Team - Arlan

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FLORA just closed a massive $42M Series A, led by Redpoint Ventures and with participation from Guillermo Rauch (Vercel), Emery Wells (Frame.io), and the founders of fal.

This brings total capital raised to $52M, alongside existing investors including Mike Volpi at Hanabi Capital, Amy Wu Martin at Menlo Ventures, a16z speedrun, Long Journey, Company Ventures, Alumni Ventures, Justin Kan (founder of Twitch), Cyan Banister, Matthew Hartman at Factorial Capital, Gabe Whaley (founder of MSCHF), and more.

What attracted all these investors to FLORA?

Something simple: FLORA is trying to kill model-hopping forever.

And their pitch deck is a blueprint for how to sell a new category.

Because it doesn’t pitch “AI that makes art.”

It pitches workflow control at scale:

• persistent brand assets

• repeatable style across thousands of outputs

• collaboration in real time

• and a pricing model designed to spread inside teams

I met Weber Wong last year in a16z Speedrun and he was kind of sharing his deck with Product Market Fit. So I’ll let you be the judge of it!

🔥 Access now

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I invested in MITO AI.

This week, they announced a $4.5M pre-seed led by Lightspeed (early investor in companies like Snap Inc., Affirm, and Stripe), with participation from Kibo, Kfund, Sequoia and a16z scouts, LifeX, and a group of operators you want on the cap table (unicorn founders, USV, Roblox, GitHub execs).

On paper, it’s “another AI video startup.”

In reality, the pitch deck tells a much more interesting story.

This isn’t about generating clips faster.
It’s about owning the creative workflow layer of the next Hollywood.

The macro MITO is betting on (and why it’s right)

Video is becoming the dominant interface of the internet.

But the way we make video is still broken:

• Fragmented tools
• Linear workflows in a non-linear world
• AI bolted on as features, not as the system
• Collaboration that feels like emailing ZIP files in 2026

MITO’s core insight is simple but powerful:

AI won’t replace creators.
It will replace the friction between them.

And that’s exactly what the deck is built around.

The shift you are missing

AI video quality is no longer the constraint.

Runway, Veo, Kling, and others have crossed a real threshold. The models work. The outputs are good enough (sometimes shockingly so).

What’s broken is everything around them. Professional video creation today is:

• Across dozens of tools

• Slow to iterate

• Extremely hard to collaborate on

• Almost impossible to manage at scale

MITO starts from a different premise:

If video is becoming software, then video creation needs a real operating system.

Not another generator. Not another plugin. All-round infrastructure.

What MITO is actually building

This deck does a great job avoiding hype language and focusing on structure.

MITO AI is not positioning itself as a “better AI video generator.”

It’s building a browser-based, multiplayer, infinite canvas where the entire AI video workflow lives end-to-end.

Think less “Runway competitor”. More Figma × Notion × AI video orchestration

MITO treats video creation as a coordinated system, not a sequence of isolated tools. Inside one environment, teams can:

• Moodboard & set visual references
• Break ideas into storyboards and shots
• Script & plan production
• Experiment with image, video, and audio models
• Collaborate and iterate in real time
• Produce multi-format outputs
• Keep creative control and consistency

All while directing an AI copilot that executes specific actions, not vague prompts.

How this actually works in practice (short walkthrough of MITO)

This is where I stop feeling like this is a cool demo and start feeling that this is genuinely wild.

Everything just… stays together. Ideas, shots, assets, iterations, theyre all in one place, with the team, in real time.

Could be just me, but after watching this it’s hard not to think:
”oh sh*t, this is how video is going to be made.”

The Insane Deck MITO Used to Raise $4.5M 🔥

MITO just raised a $4.5M pre-seed led by Lightspeed, four months after founding.

If you’re building in AI, creative tools, or infra, this is as good as it gets, and its definitely worth reading closely.

🔥 Access Now:

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This one tried to convince you the company deserved to exist.

And in hindsight, it’s one of the cleanest examples of “positioning as strategy” in modern tech.

If you’re building in AI (or investing in it), this deck is a masterclass in how to:

• win trust before you win distribution

• turn “safety” into a product moat

• raise institutional capital for a research-heavy business

• sell inevitability without hype

Why this deck matters now (the $350B hindsight layer)

In January 2026, reports emerged that Anthropic doubled its fundraising target from $10B to $20B, with an implied valuation of ~$350B.

That number sounds absurd until you reread the deck.

Then it starts to feel… consistent.

This isn’t a company that “accidentally” became valuable.

This is a company that designed itself early to absorb massive institutional capital.

The deck explains why the market is even willing to write checks of this size.(Deck referenced throughout: Feb 2023 Anthropic pitch deck.)

Slide-by-slide: what Anthropic is really selling

Slide 1: “Anthropic, PBC” and named leadership

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The Big 5 of AI & their $70B+ Funding Pitch Decks

If you want to understand where AI is actually going, don’t start with benchmarks or launch blogs. Start with how the builders explain their own work, in their own words and how they raised BILLIONS of $$$.

Get full access to the Original Pitch Decks from:

• OpenAI

• DeepMind

• Anthropic

• Perplexity

• Mistral

Together, these companies have raised ~$70B+ in capital and represent five fundamentally different bets on how AI should be built.

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Trending right now: The Data Room Template VCs love, 27 Most Promising AI Startup Pitch Decks Backed by Top Investors in 2025

What you’ll get in this issue 🔒

• Full access to the original Pitch Decks from OpenAI, DeepMind, Anthropic, Perplexity and Mistral.

• A clear breakdown of what each deck is actually arguing, and why it mattered at the time

• A side-by-side comparison of the competing AI worldviews (scale, science, safety, product, infrastructure)

• A deep dive on the contrarian view of Yann LeCun and why he believes all of these approaches may hit a wall

Everything included with a subscription

💰 The Ultimate Investor List of Lists (1,000 Family Offices, 1,000 Active Angel Investors, 160+ No-Warm-Intro Investors, 3,000 LPs…)

🖼️ +50 Pitch Decks of World’s Most Sucessful Startups

🖼️ 27 Most Promising AI Startup Pitch Decks Backed by Top Investors in 2025

🔥 How to Get Into YC: The Spring 26’ FULL GUIDE

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OpenAI was built with a clear purpose: “Build safe AGI”.

Since 2017, the company has experienced growth like nothing before, changing the world and with one breakthrough after another one.

Revenue followed the same curve growing 3X year over year, or 10X from 2023 to 2025: $2B ARR in 2023, $6B in 2024, and $20B+ in 2025.

This is never-before-seen growth at such scale.

In today’s newsletter, we curated something indedited:

From 2017 to 2020, the decks internal decks of OpenAI

• 2017
  AI is fragile and dangerous by default. Alignment is the bottleneck.

• Early 2018
  Reinforcement learning and scale start to work in complex environments.

• September 2018
  OpenAI locks its mission: build safe AGI and distribute the benefits.

• 2019
  Systems outperform humans in games and simulated worlds.

• 2020
  Large generative models + large-scale RL unlock general capability.

These decks show:

• How AI thinking shifted from narrow tasks to general systems

• Why scale became inevitable, not optional

• When language models stopped being experiments and became foundations

• Why safety, alignment, and deployment were treated as first-order problems

• How OpenAI’s scope expanded from a small research lab to a platform shaping an entire industry

This growth wasn’t accidental. It tracks almost perfectly with the ideas in the decks: the shift to scale, the focus on general systems, the bet on language models, and the long-term AGI mission locked in years earlier.

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• One year free: Save $360 with a full year of Framer Pro, free for early-stage startups

• No code, no delays: Launch a polished site in hours, not weeks, without hiring developers

• Built to grow: Scale your site from MVP to full product with CMS, analytics, and AI localization

• Join YC-backed founders: Hundreds of top startups are already building on Framer

Apply to claim your free year

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Trending right now: The Data Room Template VCs love, 27 Most Promising AI Startup Pitch Decks Backed by Top Investors in 2025,

Here you go, enjoy 🔥

🔒 Premium: Access the original OpenAI decks

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Today we’re going back to 2015.

Before Revolut was Europe’s most valuable fintech.
Before $75B secondaries.
Before 40M users, $500M+ in profits, and billions sitting on the balance sheet.

Back when it was 4,800 users, a handful of slides, and a £1.5M seed round.

This is a teardown of Revolut’s original seed pitch deck, the one that convinced Balderton Capital and Seedcamp to back two founders solving what looked like a very “small” problem: hidden FX fees.

Read the investor’s perspective at:

👉 The Revolut Investors Who Won Big: Balderton’s Billions, Crowdcube’s Millionaires, and the Secret Angel List

And why this deck matters more than almost any other in European startup history.

Revolut at Seed Stage: Context That Changes Everything

Let’s anchor the moment.

• Year: 2015

• Product: FX-friendly prepaid card for travelers

• Users: ~4,800

• Revenue: basically nothing

• Founder capital: £300k of Nik Storonsky’s own savings

• Round: £1.5M seed

• Valuation: ~£8M

Investors:

• Balderton Capital (lead)

• Seedcamp

• Giano Capital

• AMK Investment Office

What’s wild is not just how early this was.
It’s how un-flashy the deck actually is.

No grand AI narrative.
No “super app of finance” vision yet.
No massive TAM gymnastics.

Just a brutally clear wedge.

What the Revolut Seed Deck Actually Did (And Didn’t Do)

Access Revolut’s full Seed Pitch Deck + its breakdown with the PMF paid subscription!

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Last month, Yann LeCun publicly announced he’s leaving Meta to launch a new AI startup focused on world models.

According to reporting by the Financial Times and Sifted, the company (AMI Labs) is in talks to raise €500M at around a €3B valuation, with a global research footprint and a clear mission: build AI systems that understand the physical world, not just language.

That part is public.

What’s less public is how LeCun and his team are thinking about why the current AI paradigm won’t get us there — and what they believe replaces it.

The fundraising deck for this round has been circulating privately. It’s clearly confidential, so I won’t publish it or quote from it directly.

But I’ve reviewed how the thesis is framed, and it’s one of the clearest explanations I’ve seen of how top AI researchers see the next phase of AI unfolding.

Here’s what you need to know.

Read more

Figma’s 2013 deck did the opposite.
It proved the future already worked.

Before revenue.
Before a real product.
Before a market existed.

That deck raised $3.8M and changed how modern software is built.

The origin story (what most people forget)

Figma started in 2012, when Dylan Field and Evan Wallace were computer science students at Brown University.

Their initial insight wasn’t “design tools are broken.”
It was more fundamental:

Creativity shouldn’t require installing software.

They believed the browser itself could become the creative canvas.

At the time, this sounded borderline delusional:

• Browsers were slow

• WebGL was immature

• “Real” creative tools lived on the desktop

But instead of pitching slides about why this might work one day…

They built demos.

What the 2013 “deck” actually looked like

Calling it a “pitch deck” is generous.

There were only a few traditional slides.
The rest of the pitch was live demonstrations of what they had already built in the browser:

• A real-time interactive 3D sphere floating in water

• A browser-based Photoshop-like editor

• Poisson blending and advanced image manipulation

• Image matting

• Real-time color transformation

• High-performance graphics rendering inside the browser

No revenue model slides.
No TAM gymnastics.
No growth charts.

Just one message:

“This shouldn’t be possible in a browser… but it already is.”

That was the pitch.

The outcome (why this deck matters)

As of 2024:

• Figma has raised $749M across 8 rounds

• Supports 4M+ active users

• Expanded into FigJam, Figma Slides, and more

• Expected to surpass $400M ARR with ~90% gross margins

In 2022, Adobe announced a $20B acquisition of Figma.

Later this year, Figma went public at a $19.3 billion valuation.

🔒 Premium: Access the original Figma 2013 pitch deck

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A rare chance to study how elite healthcare AI startups raise capital (in the 10s of millions)

Welcome back to Product Market Fit 🔥

Healthcare is one of the hardest markets in the world to build a startup.

• Long sales cycles.

• Regulation.

• Clinical risk.

• Broken incentives.

• Slow buyers.

Which is exactly why great healthcare pitch decks are incredibly rare — and incredibly valuable.

Today, I’m sharing 21 real healthcare AI pitch decks from startups that raised VC funding in 2025.

These are not templates.
Not polished examples made for the internet.
These are the actual decks founders used to convince top-tier investors to say yes.

Some of these companies are already category leaders.
Others are early — but all are building toward massive, defensible outcomes in healthcare.

Why healthcare pitch decks are different:

In healthcare, you can’t just pitch vision.

You have to explain:

• Why the problem is urgent now

• Why incumbents can’t solve it

• Who actually buys the product and why (aligned incentives, usually the ones who pay are not the ones who feel the pain)

• How regulation, data, and workflows are navigated

• Why this team is uniquely qualified to win

The founders in these decks don’t avoid complexity, they use it as a moat.

That’s what makes these decks such a powerful learning tool.

What’s Inside

Inside the vault, you’ll find 21 healthcare-focused AI pitch decks, covering:

• Clinical workflow automation
  (documentation, triage, care coordination)

• AI diagnostics & decision support

• Revenue cycle & administrative automation

• Provider enablement & workforce tools

• Patient-facing AI & care navigation

• Healthcare data, infrastructure & interoperability

Every deck in this collection is:

• Built by founders who deeply understand healthcare

• Designed to survive real VC diligence

• Backed by top-tier investors (a16z, Sequoia, Greylock, Bain, Point72, and peers)

Why Accessing These Decks Gives You an Edge

1. You learn how elite AI founders think

You see how they explain the technical insight behind the company, how they show the scale of the problem, and how they position themselves as the team that will win.

2. You understand what top VCs say yes to

These decks reveal the type of traction that matters, the clarity VCs want, the level of ambition expected and the way founders justify why their product must exist now.

3. You see the future of AI before everyone else

From agent pipelines to healthcare automation to LLM ops to AI-native ad networks to the next generation of voice and video. This vault is a map of the next decade of AI.

Still a free subscriber? Upgrading to a premium subscription will give you access not only to these invaluable post but also to the entire archive of articles published on Product Market Fit. You’ll gain insights, resources, and strategies that have already helped hundreds of founders

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Welcome back to Product Market Fit 🔥

Today I want to share the decks of some of the most promising AI startups that raised VC this year.

Some of them are already unicorns and others are just getting started but all have the potential to become market leaders.

These are decks created by people building frontier companies in search, agents, LLM infra, voice, healthcare, ads, video and networking.

Almost all of them are backed by top tier investors like a16z, Sequoia, Point72, Greylock, Bain, Bonfire or similar.

For me the value is not only having access to the decks created by some of the smartest founders in the world (and being able to improve your deck) but also learning about the most inovative business ideas that are being backed by top investors like a16z, sequoia, etc and how these founders think about them, present them and their ambition.

What’s Inside

Inside the vault you’ll find pitch decks from the most ambitious AI companies operating today.

This includes:

• Category leaders like Perplexity, ElevenLabs, Mistral and Humane AI (raised $200M and died), alongside agentic workflow

• GTM companies such as Octave, Artisan, Gradient Labs and Nexad.

• LLM analytics decks from Profound, Omnia and Artificial Societies,

• Media and video players like Synthesia, Hedra AI

• The healthcare AI section includes Charta Health, Heidi Health, Doctronic and Axle Health.

• Tooling and infra teams like Dig, Epiminds and Paramark, and

• Consumer networks like Goodwork & Boardy

Why Accessing These Decks Gives You an Edge

1. You learn how elite AI founders think

You see how they explain the technical insight behind the company, how they show the scale of the problem, and how they position themselves as the team that will win.

2. You understand what top VCs say yes to

These decks reveal the type of traction that matters, the clarity VCs want, the level of ambition expected and the way founders justify why their product must exist now.

3. You see the future of AI before everyone else

From agent pipelines to healthcare automation to LLM ops to AI-native ad networks to the next generation of voice and video. This vault is a map of the next decade of AI.

Still a free subscriber? Upgrading to a premium subscription will give you access not only to these invaluable post but also to the entire archive of articles published on Product Market Fit. You’ll gain insights, resources, and strategies that have already helped hundreds of founders

Get 30% off forever

Read more

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Today, let talk about Replit.

Replit is one of the most valuable and fastest growing AI companies right now.

And while Lovable is following Replit very closely, the latter is still undisputed for highest revenues in the Vibecoding space.

It recently raised $250 million at a $3 billion valuation, backed by Google, YC, a16z and Craft, after scaling its revenue from $2.8 million to $150 million in under a year.

And since I’m also an angel investor in the company myself I thought it would be good to deepdive into:

1. The 10 growth tactics that helped Replit go from $2.8M to $150M ARR in one year

2. Replit’s Seed Deck: the first pitch that got them into YCombinator

Let’s dive into it🚀

PS: This deepdive is part of the premium access only content of PMF Newsletter. Subcribe to access it together with top resources for founders worldwide!

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Today we break down the Novoflow pitch deck that raised $3.1M to build AI agents for medical clinics.

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The 30-second story

• What they do: Novoflow is building AI agents for medical clinics, starting with automating cancellation recovery and appointment booking, while stitching together fragmented EHR systems

• Founders: Mathieu Rihet (19) and Georges Casassovici (18) both dropped out to attend YC S25. Rihet originally aimed to be a cardiothoracic surgeon but pivoted after being diagnosed with essential tremors; he later worked as a medical translator, where he saw the operational chaos firsthand

  

• Raise: The company raised $3.1M led by super angel Justin Hamilton, with participation from N1 Ventures, Multifaceted Capital, and Standard Partners Fund.

• Here’s what founders will learn from reading their deck:

  • How to turn founder-market fit into a narrative that compels investors (surgeon-to-founder story with firsthand system pain).

  • How to define a sharp wedge that proves value fast in healthcare (cancellations → revenue recapture → bookings → ops).

  • How to position “agents over apps” as the interface that unifies fragmented EHRs without boiling the ocean on day one.

  • How to show execution velocity and scrappiness credibly at pre-seed (YC entry, SF build, early team, clear next hires).

  • How to paint a believable path from a single workflow to “AI runs the clinic” (billing, scheduling, Rx fulfillment).

• If you’re raising pre-seed or seed, this deck is a masterclass in clarity, story, and focus in a regulated market.

PS: If you are building or investing in AI, check out The AI Opportunity, where I break down the best money making opportunities in the world before they’re mainstream.

The AI Opportunity

AI is eating the world We find the biggest money-making opportunities before anyone else—so you can build the next Google Our business? Arbitrage of the future

By Guillermo Flor

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Earlier this year, they raised $180 million in a Series D round led by NEA, with Google Ventures, Atlassian Ventures, WiL, and PSP Growth also joining.

The round valued the company at $2.1 billion, making it the largest generative AI startup in the UK.

But before that, they were getting rejected by hundreds of investors.

I’ve compiled everything you need to study Synthesia’s rise from near failure to $100M ARR.

Inside you’ll find:

📦 Inside this premium issue

1. Starting Synthesia before “generative AI” even existed

2. The fundraising nightmare

3. How a cold email got Mark Cuban to invest $1M overnight

4. The pitch deck Synthesia used to raise $180M Series D

5. How they survived three years before product-market fit

6. What the founder of Synthesia would build today

Check it out with the free trial (no strings attached), or jump straight into premium if you’re ready for the full scoop👇

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Turns out… you don’t.

Omnia, a startup building the operating system for brands in the new era of AI-driven search, just raised $3.5M pre-seed from Visionaries Club, the same investors behind Lovable, n8n, Miro, and Personio.

And they did it with no pitch deck.

Just a two-page memo.

Hey, have you tried FIGMA Make? It launched recently and I got so hooked. You can basically design anything with AI

Try it now

🧠 Why it worked

The memo doesn’t rely on flashy visuals or endless problem-solution slides.
It reads like conviction.

Omnia’s founder, Daniel Espejo (ex-Klarna), captured three things most founders miss:

1. A market shift investors can’t unsee. AI-driven search is fundamentally changing how consumers discover brands.

2. A clear villain. Brands are invisible inside AI search — losing visibility and control to competitors that adapt faster.

3. A believable execution plan. A small, technical team that’s already monetizing and ready to scale what works.

This wasn’t a startup “explaining” an idea.

It was a founder showing that the world had already changed and he was building for the new default.

🔥 Access now

Access the 2 Pager Memo free trial (no strings attached), or jump straight into premium if you’re ready for the full scoop of resources of PMF👇

EXTRA: GET 3 Months free of Omnnia (become visible to AI) with the annual subscription to PMF!

30% OFF Annual Plans

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