Aakash Gupta Profile picture
Jun 5, 2023 โ€ข 14 tweets โ€ข 4 min read โ€ข Read on X
๐Ÿšจ BREAKING: Apple released its new headset, Vision Pro.

The 12 things you need to know ๐Ÿ‘‡

#WWDC23
1. It's the first Apple product you look through and not at.

It's Augmented Reality (AR) + Virtual Reality (VR).
2. It's the beginning of spatial computing.

The interface looks and feels truly present in your room. They respond dynamically to light and cast shadows.
3. It relies solely on your eyes, hands and voice.

There's no controller. You browse the system simply by looking.
4. You can get fully immersed.

If you want, you can go to full virtual reality (VR).
5. It's supported by major apps at work.

Notes, Keynote, Safari, and Messages are all customized for Vision Pro. Imagine replacing all your monitors with this.
6. It's built for multi-tasking.

People can continue working with you while you're on Vision Pro.
7. It integrates with keyboard and mouse.

So you can keep writing and doing other work tasks.
8. It's great for working remote and traveling.

Who minds if you have a headset on at home?
9. You can create a cinema environment.

You can turn any room into your own personal movie theater. Even on an airplane.
10. You can watch 3D movies.

It feels like you're looking right into the movie itself.
11. It does have game controller support.

You can use your PS5 controller if that's to play AAA games like NBA 2K.
12. It authenticates you with Optic ID

It uses the image on your Iris to make sure it's you.
I'll let Tim sign us off:

This is just the beginning.

(But it will cost you $3499.)

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More from @aakashg0

Apr 21
AI prototyping has changed what it means to be a PM, designer, and engineer in forward-thinking organizations.

Here's how: Image
The Old Way

Hereโ€™s what most product development lifecycles look like:

1. Ideation

Most teams barely prototype at the idea stage.

A rare few exceptional designers and PMs do (~5%)
2. Planning

Here, more teams use prototypes, but it still is an exception few (~15%), while sketches and mockups are much more common (>75%)

3. Discovery

In more empowered companies, many teams would test prototypes in the discovery phase (~50%)
Read 10 tweets
Apr 17
OpenAI released that there will be 5 levels of AGI.

If you want to build the future of AI, you should deeply understand it.

We are just crossing step 2 of 5 to AGI.

Yet, somehow, teams are still building like we are in levels 1 or 3.

Let me explain: Image
LEVEL 1: CONVERSATIONAL AI

Remember those awkward chatbots from 2019?

They sounded human...until they didnโ€™t.

Youโ€™d ask for helpโ€ฆ
Theyโ€™d return gibberish.
Thatโ€™s Level 1.

Might be useful but it can't be your strategic moat.
LEVEL 2: REASONING AI

This is where we are right now and itโ€™s the real unlock.

Todayโ€™s top models (like GPT-4.1, released this week) can:

โ†’ Break down complex problems
โ†’ Think like PhDs
โ†’ Make sense of ambiguity
โ†’ Power analytics, personalization & decision support
Read 7 tweets
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
๐—™๐—ฎ๐—ฐ๐—ฒ๐˜ ๐—ข๐—ป๐—ฒ - ๐—ง๐—ต๐—ฒ ๐—Ÿ๐—ถ๐—ด๐—ต๐˜๐—ต๐—ผ๐˜‚๐˜€๐—ฒ ๐—ฃ๐—ต๐—ถ๐—น๐—ผ๐˜€๐—ผ๐—ฝ๐—ต๐˜†

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.

Hereโ€™s how it works: Image
๐—ง๐—ต๐—ฒ ๐—ฅ๐—ฒ๐—ฎ๐˜€๐—ผ๐—ป๐—ถ๐—ป๐—ด

4 words in lowercase doesnโ€™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.
๐—ข๐—ป๐—ฒ - ๐—š๐—ผ๐—ฎ๐—น

LLMs know millions of ways to complete a task.

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

EG: โ€œI want to create a Google-level Product Requirements Document for: <Feature>โ€
Read 9 tweets
Jan 26
Weโ€™ve been sold a million use cases for PMs to use AI.

For my money, here are the top 5: Image
AI wonโ€™t replace PMs.

But PMs who use AI will replace PMs who donโ€™t.

You donโ€™t even need to learn coding to join the AI revolution.

Thereโ€™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.

Hereโ€™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 controlโ€ฆ

Hereโ€™s what you need to know about when to add or remove OKRs: Image
๐—ง๐—ต๐—ฒ ๐——๐—ฒ๐—ฏ๐—ฎ๐˜๐—ฒ ๐—”๐—ฟ๐—ผ๐˜‚๐—ป๐—ฑ ๐—ข๐—ž๐—ฅ๐˜€: ๐—” ๐——๐—ฒ๐—ฒ๐—ฝ๐—ฒ๐—ฟ ๐—ง๐—ฟ๐˜‚๐˜๐—ต ๐—”๐—ฏ๐—ผ๐˜‚๐˜ ๐—”๐—น๐—ถ๐—ด๐—ป๐—บ๐—ฒ๐—ป๐˜

The conversation around OKRs reveals a fundamental truth:

Alignment mechanisms arenโ€™t one-size-fits-all.

Take Ramp, for example.

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

โ†’ Exceptional product sense.

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

Now look at Google.
Read 14 tweets

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