Aakash Gupta Profile picture
May 2, 2023 14 tweets 7 min read Read on X
The fastest moving part of AI?

Generative video.

How RunwayML ushered in the era of generative video (genius):
Chapter 1: Beginnings in NYC

The story begins at NYU, where 3 grad students in a tech art program met up.

They were each building tools for designers - and surprised how enthusiastic the response was.

@agermanidis left, @matamalaortiz middle, and @c_valenzuelab right. Image
Chapter 2: Challenger

But Runway almost never even began.

Each of the the trio received fancy job offers. Cristobal, eg, had an offer on Adobe's AI team.

To test the market for Runway, the team sent a tweet looking for beta testers. The response was huge: 570 likes 👇
Chapter 3: The NYC Shoebox

The response gave them conviction to say no to the big companies.

The trio accepted jobs making $2k/month as researchers at NYU.

In NYC, that's pennies. So, they built fast. Cool things like this plugin for Photoshop:

Chapter 4: Rave Reviews

And, of course, they continued work on their own software. It was in private beta.

Designers loved it - calling it "a new Photoshop."

VCs agreed. Runway raised a $2M seed round just a few months after the trio went full-time.
Chapter 5: Tools for Creative Workflows

This allowed the team to move out of their shoeboxes.

They then built Runway entirely on the web & built easy-to-use apps on top.

A particularly epic one is Green Screen - which can generate a mask & propagate through.
Chapter 6: Going All In On Models

After raising a $8.5M series A at the end of 2020, the team went all in on models:

Latent Diffusion in 2021
Stable Diffusion in 2022

This helped the team raise series B and C rounds, setting them up for their next masterful launch... Image
Chapter 7: Gen-1

The company dropped Gen-1 on February 6 - and got massive reception on Twitter.

User uptake was enormous.

Because the company opened it up for human reinforcement learning, Week 1 to Week 6 Gen-1 improved crazily fast.
Chapter 8: #Gen2

This set them up to launch Gen-2 a mere 6 weeks later!

It has been producing absolutely stunning videos every single day.

It's not even public yet. Runway has masterfully rolled out access to active Twitter artists like @icreatelife

As it stands, Runway is the clear leader in the text-to-video AI landscape.

It's been genius execution of a genius strategy. Image
How Has @runwayml Had Such Success?

1. Master audience targeting:
Runway identified a key persona of techie creatives

2. Leverage a powerful go-to-market:
Runway cleverly designed Twitter-friendly features

3. Build a self-sustaining flywheel
Runway's growth feeds on itself Image
Want the full deep-dive of Runway's genius?

Check out my 3,300 word deep dive.

I read every Tweet, watched every YouTube video, & applied my 15 years in tech to bring you the best breakdown on the web:

🔗 tinyurl.com/3uw9tx3e Image
If you have any doubts about the company's just watch this video:

The multi-billion dollar advertising and trailer industries are being disrupted in front of our eyes:

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Aakash Gupta

Aakash Gupta Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @aakashg0

Oct 29
DUOLINGO COULDN'T TEACH ME HEBREW IN 2 YEARS

ChatGPT did it in just 3 months.

Here's the exact 8 Prompts I used:
1. Adaptive Daily Lesson Builder

"You're my personal Hebrew tutor. Build me a 20-minute lesson for today based on my current level [beginner/intermediate/advanced]. Include: 10 new vocabulary words with context, 1 key grammar concept with 3 examples, and 5 practice sentences I should translate. End with tomorrow's preview."
2. Real Conversation Partner

"Let's have a 10-minute conversation in Hebrew about [topic: weekend plans/work/hobbies]. Start each response in Hebrew, then add English corrections below using this format: '❌ You said X → ✅ Say Y (because Z)'. Adjust your Hebrew complexity to match my responses."
Read 9 tweets
Oct 26
In product management, not everything is straight forward maths, or solvable by AI.

Yet, some PMs still make better decisions most of the time.

How?

That's product sense: Image
"The ability to find the right solution for the user and business, despite limited and ambiguous information."

I love this definition from @Sid Arora.
You start with the PM process:

1. Take a vague & ambiguous problem statement
2. Create, or clarify the overall goal
3. Identify all users in ecosystem
4. Pick 1-2 users
5. Identify major problems of the user
6. Select the problems to solve
7. Brainstorm for solutions
8. Select the highest ROI solution
9. Build and deploy the solution
10. Measure success / collect feedback
Read 12 tweets
Oct 22
You should vibe code a PM portoflio.

Only 17% of PMs have a portfolio.

So you should differentiate with one.

Here's how: Image
1. Headline

This is the most important part! You want to describe your unicorn candidate-market fit. This is your opportunity to make a bumpy career look like a straight line to a sector of the market.
2. Navigation

The beauty of a website is you can add layers. Add in followup pages to deep dive into your experience. Link them. Add in blog & podcast appearances too.
Read 12 tweets
Oct 21
ChatGPT is just the tip of the iceberg.

PMs should use 10 buckets of AI tools: Image
DISCOVERY

1. Prototyping
Yes, this is an amazing PM use case.

Tools like Lovable, Bolt, v0, Magic Patterns, and Base44 are great for improving your discovery work.

🔗 Guide: news.aakashg.com/p/ai-prototypi…
2. Customer Intelligence
These aggregate customer insight everywhere.

Tools like Dovetail, Enterpret, Unwrap, Monterey, and Sprig make knowing your customer easier.

🔗 Guide: news.aakashg.com/p/ai-customer-…
Read 12 tweets
Oct 15
Product discovery is the no. 1 skill for PMs.

Here's how to use AI to 10x your discovery: Image
𝗦𝗧𝗘𝗣 𝟭: 𝗔𝗜 𝗠𝗮𝗿𝗸𝗲𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲

Market analysis used to be a lengthy, research-heavy process that often required access to paid reports.

Now, replace that with:

a. Market sizing by Perplexity
b. Validation with 3 expert calls
c. Synthesizing sources with NotebookLMImage
𝗦𝗧𝗘𝗣 𝟮: 𝗔𝗜 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲

Build an AI customer intelligence system like that provided by tools like @hiDovetail.

These aggregate all your:

• 1000s of support calls
• 100s of app reviews
• 100s of sales calls
• 10s of interviews

AI customer intelligence tools are as important as AI prototyping tools. Deep dive: news.aakashg.com/p/ai-customer-…Image
Read 9 tweets
Oct 6
This guy literally builds n8n AI Agents with 1 prompt Image
I'll share the prompt in a second but here's why it works:

1. Context Dumping Done Right

Most people give AI a vague idea and wonder why they get vague results. This prompt dumps everything: use case, data sources, outputs, integrations. The AI gets your entire ecosystem, not just fragments.
2. Production-Ready From Day One

The magic words: "error handling," "retry logic," "data validation." This gets you workflows that survive real-world chaos, not Frankenstein prototypes held together with hope.
Read 12 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(