williamduijzer

Creative Director. Building brands & digital experiences at Wild Digital.

[Ben Blumenrose @benblumenrose]

Grab a cup of coffee, cancel your meetings, and read the report here - https://t.co/JvZmdtOvnB

[williamduijzer @williamduijzer]

@viktoroddy Claude is not designing anything you basically designed it with text and put that in Claude. :facepalm

[williamduijzer @williamduijzer]

@orinfitzgerald @framer @claudeai Naaa it ain’t a design expert. More junior level atm

[williamduijzer @williamduijzer]

@KanikaBK Designers that will rip from this type of design are not real designers

[williamduijzer @williamduijzer]

@thedennis great stuff. just truth, thanks

[williamduijzer @williamduijzer]

@iruletheworldmo pfff this is insane! so cool

[williamduijzer @williamduijzer]

@felixleezd @ADPList 🖐️

[williamduijzer @williamduijzer]

@bradkowalk sounds great, think this is where AI is going, more visual and an 'interface' on top of it. Just like DOS went to Windows ;)

[williamduijzer @williamduijzer]

@henrythe9ths jo, can you send it? @henrythe9ths I'm waiting on it for a week now. thnx

[williamduijzer @williamduijzer]

@henrythe9ths FUNDRAISE

[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.

[williamduijzer @williamduijzer]

@FonsMans @GoogleLabs 🤣

[williamduijzer @williamduijzer]

@itz__aria https://t.co/XwtMvor05P

[Dan @pizzaboy]

I have a friend who is looking for a motion designer who can match this style/quality.

Anyone in my circle that fits?

[williamduijzer @williamduijzer]

@benspringwater Still sending out invites for this? Love to test it.

[williamduijzer @williamduijzer]

@vanlancker @untitleddotnew nice, would love to read it.

[Aryan Mahajan @aryanXmahajan]

We just deployed AI Humanoid Robots at a Vegas hotel.

$347K additional revenue. 30 days.

Most businesses don't even know this exists yet

But here's what's happening right now:

While competitors burn $200K+/year on marketing teams, we're deploying robots that work 24/7 and generate attention automatically

→ Vegas hotels: $347K in pure attention revenue (30 days)
→ Trade shows: 2,847 qualified leads in 3 days
→ Manufacturing: 3x cost reduction, zero sick days
→ Retail stores: 40% conversion increases
→ Nightclubs: premium pricing from robot entertainment

We documented every deployment across 60+ businesses

The results? $1.2M+ in tracked revenue

This isn't coming in 5 years. It's happening right now.

Early adopters are dominating their markets while competitors don't even know robots exist for business

Documented the complete playbook:
- Vegas hotel revenue framework ($347K case study)
- Trade show lead generation system (2,847 leads)
- Manufacturing automation protocol (3x cost reduction)
- Retail conversion blueprint (40% increases)
- Cross-industry deployment guide

Want the complete deployment playbook?

Like + comment "DEPLOY" + repost, and I'll DM it to you.
(must be following)

[williamduijzer @williamduijzer]

@aryanXmahajan Deploy

[williamduijzer @williamduijzer]

@LinusEkenstam This is want ChatGPT should be ;)

[williamduijzer @williamduijzer]

@jspujji Want

[williamduijzer @williamduijzer]

@jornvandijk @framer Lekker bezig baas!