Nathan Schubert

[Nathan Schubert @nschubert89]

@HarryStebbings MQL 🤣

[Henry Shi @henrythe9ths]

I got rejected by 144 investors before raising $150M for my $200M+ rev/year startup.

After 144 rejections, I started questioning our approach.

Were we solving the right problem?

What were we doing wrong?

Why weren’t investors seeing what we were seeing?

Were we the right team to build this?

We tried everything: different pitch angles, new deck structures, and reframing the problem.

Then came the 145th meeting, where we closed our first growth round.

That yes made everything worth it. But getting there took years of mistakes and hard work.

We went through a lot of trial and error just to figure out what resonates with investors.

We tried dozens of approaches to figure out what made investors engage.

Some landed, most didn't. But each iteration taught us something about what builds conviction versus what just sounds good on paper.

And once we cracked that code, our Series C closed faster than expected.

And today, I see so many founders in the exact same position I was in 10 years ago: grinding through rejections, questioning everything, and trying to figure out what works.

So today I want to give you the resource I wish I had back then:

Something that shows you exactly how to structure these conversations and navigate the entire process

(because the fundraising cycle can be a big distraction and take a toll on you as a founder).

So I've partnered with Notion's Startups Team to create the essential fundraising resource that helps you avoid the mistakes that cost me years.

Here's what you are getting:

• The actual decks I used to raise $150M for Super[.]com (Series B, C)

• 50 real examples from funded startups like Eleven Labs and Artisan AI

• A searchable database of 10,000+ investors - angels, VCs, and accelerators you can reach out to immediately (this alone would take months to build manually)

• An AI-powered fundraising agent built into Notion with step-by-step prompts (no separate ChatGPT needed)

Want access?

• Like and share this post

• Comment "FUNDRAISE"

• Follow me so I can DM you the link

I'll send it over ASAP.

P.S.: If you are serious about fundraising (now or in the future), you should grab it right away.

[Nathan Schubert @nschubert89]

@henrythe9ths FUNDRAISE

[Nathan Schubert @nschubert89]

@BenyaminHolley 🙋‍♂️

[Nathan Schubert @nschubert89]

@henrythe9ths AI Guide

[Henry Shi @henrythe9ths]

There's a shocking fact about AI that nobody tells you: You can catch up to the public AI research frontier in just 2 weeks. Yes, really.

I've built a $150M annual revenue startup over the last 8 years and If I were to start a company today, I’d drop everything and go all-in on AI.

But like many busy software builders, I felt lost—overwhelmed by the noisy, crowded and fast-moving modern AI landscape. And I wasn’t alone.

So I spent my entire holiday diving deep into AI research—reading 30+ papers, watching hours of lectures, analyzing trends, and catching up to the research frontier.

✨ Here’s what I learned:
- You don’t need months (or years) to catch up.
- You don’t need a PhD or decades of ML experience.
- You need fewer than 20 papers and 2 weeks to understand the major breakthroughs shaping AI today.

It's because the technology is extremely nascent and most techniques that came before are no longer relevant:
- ChatGPT is barely 2 years old and Transformers are only 7 years old.
- Most game-changing discoveries happened within the last 4 years, driven by a few breakthrough ideas, scaling laws, and efficient matrix multiplication.

The biggest secret?
Many groundbreaking AI papers with thousands of citations are surprisingly simple and applied, like adding "let's think step by step" to the prompt, or simply asking the LLM over and over again to improve its answer (Self-Refine).

I realized there are tons of founders and builders in the same boat—wanting to dive deeper into AI but unsure where to start.

I've created an essential AI Guide that helped me catch up, in just 2 weeks, to the frontier of public AI research to figure out where the next opportunities and gaps were:
- Curated list of only the most important papers
- Simple explanations of key concepts
- Clear pathway to understanding the frontier of modern AI

It’s perfect for:
- Founders expanding into AI
- Builders wanting to innovate at the frontier of AI
- Investors looking to separate the signal from the noise

👇 Want the full guide?
- Like and Share this post
- Comment "AI Guide"
- I'll send you the complete guide

(ps, I’m also teaming up with @VishalVasishth, co-founder of @obviousvc with @ev (focused on large-scale societal impact companies like Twitter, Medium, Beyond Meat), to host a small meetup to discuss what's working and needs to be solved in the AI stack in SF. Message me if you're interested)

[Nathan Schubert @nschubert89]

@LaddLaddLadd Hey

[Nathan Schubert @nschubert89]

@agarwal__gaurav Send

[Gaurav @agarwal__gaurav]

GPT-4 is 10x better than GPT-3

But 90% of you are missing out on it.

So, I compiled 200+ growth marketing prompts.

And for the next 24 hours, it's free!

To get it, just:

1. Follow me @agarwal__gaurav
2. RT this tweet
3. Reply "Send"

[Nathan Schubert @nschubert89]

@profitoffads FB

[Nathan Schubert @nschubert89]

@SmuldersStefan Send

[Nathan Schubert @nschubert89]

@JensLennartsson 🧲