Kay Vink

Building in public — the agentic marketing platform. Previously led marketing, growth, analytics @messagebird (3x unicorn)

[Kay Vink @KayVink]

You can now install skills in Claude to automate your marketing and it's absolutely insane 🤯

https://t.co/ann1sm3QsV now lists 1,289+ free skills that cover:

> SEO audits & GEO optimization
> Google, Meta & LinkedIn Ads
> Landing pages & copywriting
> Content strategy & calendars
> Email sequences & newsletters
> App Store Optimization
> Affiliate marketing
> Developer marketing
> X, Instagram, Youtube, Tiktok
> Analytics & A/B testing

[Kay Vink @KayVink]

@schematikio This did not age well

[Kay Vink @KayVink]

@SamuelBeek @sofianeflarbi People need to stop hating on the em dash

[Kay Vink @KayVink]

@SamuelBeek Need a clip so I can attach this to my bicycle handle bars

[Kay Vink @KayVink]

@n6ls0n So apparently Nokia started by selling toilet paper before they pivoted to boots, and then to AI.

[Kay Vink @KayVink]

Maybe AGI is here... Opus 4.7 just rick rolled a friend of mine.

He asked to fill a mock with URLs, clicked a random one and it forwarded to rick astley lolol

[Kay Vink @KayVink]

@maverickdotdev Wouldn’t this make your stock crash 🫨

[Kay Vink @KayVink]

@aschwags3

Here are a 3 reasons why it might be to soon to fire your paid ads team:

1. Violating rate limits / or acting suspicious (read making many requests) will get you banned

- Ad platforms will have rate limits (e.g. the max amount of requests you can make.
- If you exceed these there is a big change you will get banned.
- This sucks because it often means losing your account and all your data.
- Good luck getting that back if you are not a massive customer with a senior account management team.
- When you build a data pipeline you pull data once and manipulate the data in the database.
- Skills will hit the API directly, and almost guaranteed get you these problem ^^

2. Data model

- The ad platforms expose all sorts of data.
- But to answer real questions, you need a specific view of that data.
- This gets defined in your data model, it’s your view of the world that captures your preferences, and does other clean up work.
- This is why in a data pipeline this happen BEFOR you consume the data.
- If you hit the ad platform directly you are basically doing this on every request.
- On one side this is just super expensive.
- On the other side, its very error prone so you might actually be looking at the wrong thing.

3. Attribution

- The ad platforms are inherently biased.
- They’ll always over index on their own attribution.
- This means you’ll need your own independent view of the world to make decisions.
- This means: combining internal data + various ad platform data sets.
- Again, you really dont want to put this together on every tool call your agent makes

Skills are a great way to learn and discover new use case, and we’re getting closer to marketing AGI. but they don’t replace having your fundamentals in order:

1. Good strategy
2. Proper reporting / data pipeline / measurement
3. Systematic testing
4. Regular optimization cadence

Don’t always believe the twitter hype machine ✌️

[Kay Vink @KayVink]

@dvassallo Nokia wasn't just doing paper pulp!! they were vertically integrated into the toiler paper vertical, then then pivoted to footwear

[Kay Vink @KayVink]

@hustle_fred Nice. I see your product is going to make it grow 10x faster. How can you help me? Drop the knowledge plz

[Kay Vink @KayVink]

Day 4 of of building in public, looks like I broke through the cold account start and am getting more reach.

Here's what I have done so far:
- Show what I'm shipping
- Try to be generally helpful to people/share my experience.
- Answer everyone within 30 mins
- I broke through the reach barrier, with some memes about the crazy all birds pivot, will post in a comment

I'm tracking all ideas, experiments, and results. Thinking of open sourcing this if anyone is interested let me know in the comments.

[Kay Vink @KayVink]

claude has crazy stamina, are you guys also having these long single agent sessions since a few updates ago?

[Kay Vink @KayVink]

apparently nokia pivoted form toilet paper, to foot wear, to AI.

Have you considered maybe we are the crazy ones? maybe we are just not seeing the vision?

[Wall St Engine @wallstengine]

Allbirds $BIRD to sell its brand and footwear assets, rename itself NewBird AI, and use a new $50M convertible financing facility to buy high-performance GPUs to pivot into AI compute infrastructure.

[Kay Vink @KayVink]

@KobeissiLetter If you thought the @Allbirds to AI pivot was crazy.

i just found out that Nokia pivoted from toilet paper to foot wear to phones to to now AI.

so maybe this is all part of some bigger plan?!!?

[Kay Vink @KayVink]

@SamuelBeek wait hold up, they STILL sell shes!

https://t.co/YEwiroktZd

[Kay Vink @KayVink]

@MorningBrew never forget Nokia's pivot from boots to tech though

[Kay Vink @KayVink]

@stoolpresidente Just following Nokia's classic footwear to tech pivot. Worked great until they missed the boat on mobile @stoolpresidente

[Kay Vink @KayVink]

@jimcramer Classic move though, Nokia was the OG footwear to tech pivot. Worked out for them. Just missed out on mobile 😂

[Kay Vink @KayVink]

everyone cracking up about the all birds to AI pivot today.

But let's not forget Nokia was still selling boots in the 90s.

If Claude is coming for your startup idea don't dispair, you can always pivot into footwear.

[Kay Vink @KayVink]

everyone cracking up about the all birds to AI pivot.

But let's not forget Nokia was still selling boots in the 90s.

If Claude is coming for you business don't dispair, you can always pivot into footwear.

[Wall Street Rollup @WallStRollup]

Allbirds has raised $50mm to pivot its business to AI compute infrastructure

Allbirds now has a long-term vision to become a fully integrated GPU-as-a-Service (GPUaaS) and AI-native cloud solutions provider