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:

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More from @aakashg0

Feb 24
I've seen my fair share of product development processes.

JPD's approach stands out as particularly principled and well thought out.

Here are the five most important things about how they build product: Image
𝗙𝗮𝗰𝗲𝘁 𝗢𝗻𝗲 - 𝗧𝗵𝗲 𝗟𝗶𝗴𝗵𝘁𝗵𝗼𝘂𝘀𝗲 𝗣𝗵𝗶𝗹𝗼𝘀𝗼𝗽𝗵𝘆

As Catalin Bridinel, Head of Design, explains:

"The product is a ship, and the user is a lighthouse that gives you direction."

This is more than a cute metaphor - it's a fundamental operating principle.
It manifested, for instance, in the early access program stages:

Step 1 - Deep dive with 10 carefully selected customers
Step 2 - Expand to 100 customers for broader validation
Step 3 - Then 1000 and GA

And it does in a million little other ways.
Read 13 tweets
Feb 14
Most people are still prompting wrong.

I've found this framework, which was even shared by OpenAI President Greg Brockman.

Here’s how it works: Image
𝗧𝗵𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴

4 words in lowercase doesn’t work.

If you want to write a PRD, or a product strategy, or something for work, you have to help the LLM get your context.

This is done in 4 parts.
𝗢𝗻𝗲 - 𝗚𝗼𝗮𝗹

LLMs know millions of ways to complete a task.

Clear goal language helps them narrow in on the way you want them to.

EG: “I want to create a Google-level Product Requirements Document for: <Feature>”
Read 9 tweets
Jan 26
We’ve been sold a million use cases for PMs to use AI.

For my money, here are the top 5: Image
AI won’t replace PMs.

But PMs who use AI will replace PMs who don’t.

You don’t even need to learn coding to join the AI revolution.

There’s one archetype taking over in organizations right now: the AI-powered PM.

Here are the top 5 ways AI-powered PMs are changing the game: Image
USE CASE ONE - PRDs

Last month, I shadowed a PM at a FAANG company.

Their first AI prompt? Beautiful but completely wrong.

So how you use it matter more than just using it to write PRDs.

Here’s the game-changing mega-prompt that fixed it:
Read 13 tweets
Dec 31, 2024
Used right, OKRs can be the most powerful product process.

But most orgs completely mess them up.

From driving empowerment to becoming tools for control…

Here’s what you need to know about when to add or remove OKRs: Image
𝗧𝗵𝗲 𝗗𝗲𝗯𝗮𝘁𝗲 𝗔𝗿𝗼𝘂𝗻𝗱 𝗢𝗞𝗥𝘀: 𝗔 𝗗𝗲𝗲𝗽𝗲𝗿 𝗧𝗿𝘂𝘁𝗵 𝗔𝗯𝗼𝘂𝘁 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁

The conversation around OKRs reveals a fundamental truth:

Alignment mechanisms aren’t one-size-fits-all.

Take Ramp, for example.

They built a $10B company without OKRs.
Their secret?

→ Exceptional product sense.

→ Metrics so clear that every team understood what success looked like without needing a formal framework.

Now look at Google.
Read 14 tweets
Dec 29, 2024
If you want to move from a PM to a product leader, there’s one skill you absolutely need to master:

Product processes.

Here are the 12 most essential ones to drive impact, speed, and quality: Image
𝗢𝗡𝗘 - 𝗢𝗞𝗥𝘀

→ When to Add: When your team is growing fast, shifting priorities, or you need a system to track progress across teams.

→ When to Drop: If OKRs become a never-ending admin task and feel disconnected from day-to-day work, it’s time to simplify.
𝗧𝗪𝗢 - 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗥𝗲𝘃𝗶𝗲𝘄𝘀

→ When to Introduce: Use them to coach junior PMs or align teams during fast-paced iterations.

→ When to Cut Back: If Product Reviews start stifling creativity or become a micromanagement, it’s time to rethink.
Read 14 tweets
Dec 20, 2024
One thing that will remain the same in the 2025 job landscape:

Hiring managers will still ask, "Why this company?"

Nail it, and you’re halfway to landing your dream role.

Here’s how to master this: Image
Over the years, I’ve worked with countless aspiring and senior PMs.

99% of them give a 4/10 answer.

Here’s where they go wrong:

1. Generic fluff → They rattle off buzzwords like “innovative culture” or “market leader.” It’s uninspired.
2. No connection → They talk about the company, but not how they fit into the picture.

3. Vague details → It’s clear they didn’t research. No examples, no depth. Just surface-level compliments.

4. Lack of energy → The delivery feels more like a verbal LinkedIn endorsement.
Read 14 tweets

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