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

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 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
Dec 15, 2024
How do the best product teams ship better and faster without things breaking?

They embed quality into every step of the development process.

Here’s how you can do the same: Image
𝗙𝗶𝘃𝗲 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝗵𝗲𝗰𝗸𝗽𝗼𝗶𝗻𝘁𝘀

𝗢𝗡𝗘 - 𝗕𝗲𝗳𝗼𝗿𝗲 𝗙𝗶𝗻𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀

→ When: Right after you’ve done your research and before locking down specs.
→ Why it matters: This is your chance to clarify any confusion, resolve technical risks, and ensure alignment before things snowball.

→ Win: Fewer mid-sprint surprises and last-minute changes.
Read 14 tweets
Nov 7, 2024
PMs, you can add at least $50k to your salary by becoming an AI PM.

However, many people miss the mark, making the same mistakes over and over again.

Here are the 7 mistakes to avoid if you want to secure your dream AI role: Image
𝗠𝗶𝘀𝘁𝗮𝗸𝗲 #𝟭: 𝗧𝗵𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗼𝗿’𝘀 𝗖𝘂𝗿𝘀𝗲

→ Collecting certificates may feel productive, but it’s often just an illusion of progress.

→ Instead of paper chasing, identify a problem, build a prototype, and document your process.
𝗠𝗶𝘀𝘁𝗮𝗸𝗲 #𝟮: 𝗧𝗵𝗲 𝗖𝗼𝗱𝗲-𝗣𝗵𝗼𝗯𝗶𝗰 𝗣𝗮𝗿𝗮𝗹𝘆𝘀𝗶𝘀

→ Coding helps you to connect with your dev team and independently prototype ideas.

→ Start with Python, build simple models, and soon enough, coding will become your new best friend.
Read 10 tweets
Nov 5, 2024
Looking to land a PM role at Google, Amazon, or Meta?

Here’s the truth: It’s not enough to just secure the offer.

You need to nail the team matching process.

Here’s how to land the team (and role) you want: Image
𝗪𝗛𝗔𝗧 𝗜𝗦 𝗧𝗘𝗔𝗠 𝗠𝗔𝗧𝗖𝗛𝗜𝗡𝗚 𝗣𝗥𝗢𝗖𝗘𝗦𝗦?

At top tech companies, landing an offer is only the beginning.

After that, it’s time for team matching: the stage where PMs find their “home base” within the company.

Why this process is crucial for both parties?
Because it ensures that PMs are placed where their skills and expertise can be best leveraged to drive maximum impact and results for the team and the organisation as a whole.

There are two paths here:

→ Sometimes you’re hired for a specific team, like “PM, Instagram Growth.”
Read 13 tweets
Nov 3, 2024
The biggest bottleneck in scaling your product with enterprise clients?

Not getting your product ready.

Here’s what you need to know to transform for enterprise: Image
𝗧𝗛𝗘 𝗣𝗜𝗧𝗙𝗔𝗟𝗟𝗦 𝗜𝗡 𝗖𝗢𝗡𝗩𝗘𝗡𝗧𝗜𝗢𝗡𝗔𝗟 𝗪𝗜𝗦𝗗𝗢𝗠

Many believe an “enterprise-ready” product only needs the basics: RBAC, SSO, SLAs, and audit logs.

These are important but just the price of admission...
Companies like @Atlassian, @datadoghq, and @SnowflakeDB have shown that winning in the enterprise space requires a fundamental transformation.

And for help in delivering this transformation quickly and cost-effectively, check out @WorkOS – they make products enterprise-ready.
Read 12 tweets

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