Talking to real Nikita Bier costs $22k — so we built an AI version

Introducing Spacecow, the best way to chat with and understand your files

Most AI tools give you general-purpose answers from the internet or the model’s training data.

We built Spacecow to help you extract insights from your own files — fast. Whether it’s a website, PDF, or Youtube transcript, you’ll get answers you can trace back to the source.

Read on to learn about how Tony (one of our founders) used Spacecow to replace a $22k / month consultant for his party game, Memz.

Background

A side project of mine is Memz, a party game where you make memes from your own photos with your friends. I needed marketing advice from the king of virality himself: Nikita Bier, creator of the #1 apps Gas (sold to Discord) and TBH (sold to Facebook).

One problem:

Nikita charges $2,800 for 15 minutes — and $22,000 for a month of advice via Intro.co.

Genius? Yes. Affordable for me? No way.

I wanted to see if I could use Spacecow to get Nikita’s advice for my product without direct access to his brain stem.

Step 1: Import

First, I loaded some sources about Nikita's approach to building apps:

  • His Lenny’s Podcast episode How to Go Consistently Viral
  • A PDF of an article summarizing his viral X thread: How to Build Successful Social Apps

Step 2: Chat

I asked Spacecow:

Read each provided source and apply the lessons learned from them on how to market and distribute Memz, a party game where users make memes from photos on their own camera roll

Spacecow gave me the following recommendations:

  • Design the onboarding to get users to the "aha moment" of creating their first meme as quickly as possible
  • Make sharing memes to other platforms seamless and rewarding
  • Test in a single school first
  • Partner with popular students at each school

These were clear, actionable tips I hadn’t considered before.

Step 3: Understand

Getting advice wasn’t the hard part. Nikita has talked publicly about his approach across podcasts, threads, and blog posts.

The problem was extracting anything useful without spending hours rewatching, reading, and second-guessing what applied to my product.

Spacecow gave me the ability to cut through all of that. When it told me that targeting teens with malleable habits was a key strategy, I could immediately verify it — the citation took me to the exact timestamp in the podcast where Nikita made that point. I played it back, picked up the surrounding context, and moved on with clarity.

Example Youtube image
referencing a Youtube transcript

Same for the article. One of the recommendations was to start small — test in a single school. Spacecow linked me directly to that section in the PDF.

I skimmed further and pulled a few tactics around how to get early traction in closed communities. It was fast and focused.

Example PDF image
referencing a PDF

Step 4: Repeat

This playbook can be repeated for any information that is relevant to you.

Want advice on growth? → Drop in a Substack post.

Need design feedback? → Upload a Figma PDF.

Launching a new feature? → Paste your spec from Notion.

Chat. Iterate. Share your Space with your team — or anyone who wants to work from the same playbook.

Try it now with the Nikita Bier Space here.

What's Next?

With Spacecow, you're not guessing. You're working with the materials you already trust – and getting fast, cited answers on demand.

Roadmap:

  • Integrations with tools like Google Drive, Notion, and Slack
  • Support for sources larger than a model’s context size
  • Even deeper citation control and traceability

If you want to get involved: