Aakash Gupta Profile picture
Jul 4, 2024 1 tweets 2 min read Read on X
Product-market fit is not enough anymore. You need position-market fit:

There was a time, not too long ago, where in startupland one could build a thing that solved a real problem, put a price tag on it, and see if the market wanted it:

• If they did, then we would have said he had found product-market fit
• If they didn’t, we would say he didn’t and it was “back to the lab”

That time, for better or worse, is long gone.

Here’s how @0zne and I break it down:

In 2024, a utility provided through software can’t make a dent effectively anymore. People’s heads are overstuffed with competing products, messaging, and narratives. It’s hard for a product alone to get a market edge.

The main exceptions are new tech or hyper-niche markets. ChatGPT, for example. But that is a rare instances of breakthrough technology where the “product” itself carries the bulk of the impact.

Most companies don't have that luxury and are not in such a position. So, if a product alone isn’t enough, then what is enough?

Enter position-market-fit.

• If “product-market-fit” means that you’ve found the right kind of product that the market wants…
• “Position-market-fit” means that you’ve found the right combination of product/brand/marketing/pricing/go-to-market/sales/etc in a given domain.

The Importance of Brain Estate

The fundamental reason why “position-market-fit” is so important is that it operates more at a personal and subconscious level. Our brains can only conceptualize a finite set of “characters'' per domain.

Similar to the "Dunbar number" rule, which suggests we can maintain stable social relationships with up to 150 people, our brains are wired to understand only a finite number of company-market associations.

Gaining a strong positional edge, or nailing “position-market-fit” is the exercise through which a company, with the right combination of product, brand, pricing, marketing and go-market is able to conquer a certain portion of consumer “brain-estate.”

The Story of Startup Success

If you step back and analyze some of the best startups from the last decade, you'll see they excelled at this.

→ Are you building in an established market dominated by large incumbents with feature-bloated, slow, and clunky software? In that case, you might want to position your product as a speed-first, high-craft, premium option, similar to a luxury car company. Does Linear ring a bell?

→ Alternatively, if you're entering a highly commoditized market dominated by a few corporate-looking brands, consider positioning yourself as the quirky, fun company that doesn’t take itself too seriously. Embrace the David vs. Goliath narrative with bold, edgy marketing and design. Does Arc Browser come to mind?

Their pricing strategies are almost a second-order effect of their employed market positioning.

And that’s the power of position-market fit.Image

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More from @aakashg0

Sep 16
16 awesome resources that will get you hired as a Product Manager 👇 Image
Whether you're interviewing at Big Tech or a startup, this list covers what you actually need to stand out - from writing a resume to tackling product strategy questions and behavioral interviews.

1. PM interview preparation tips from Amazon:
🔗 amazon.jobs/content/en/how…
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🔗 news.aakashg.com/p/master-the-p…
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This guy literally shared a step-by-step roadmap to build your first AI agent - and it’s gold. Image
No hype. No jargon. Just a practical, battle-tested path to get from 0 → 1.

👇 Here’s the exact recipe I follow:
1) Pick a tiny problem

❌ Don’t build a “general agent.”
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CPO at Microsoft says Prompt Sets are the new PRDs.

Here's what you need to know: Image
Microsoft has a $3.68T market cap. So when their CPO @aparnacd is talking about PRDs, a lot of folks listen. In fact, many of you asked me about it.

So, let's talk about it:

1. What Prompt Sets Are
2. How They Fit In
3. My Thoughts
4. Next Steps
1. What Prompt Sets Are

Prompt Sets are collections of specific examples showing how an AI system should behave.

Instead of writing "the system should be helpful," you write 15-25 actual examples:

• Edge case A → Handle like B
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Aug 25
Even Apple is hiring for AI PMs.

Don't let anyone tell you it's a made up role.

Here's a free roadmap to become one: Image
1. Learn the foundations of AI:

news.aakashg.com/p/ai-foundatio…
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news.aakashg.com/p/ai-prototypi…
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Aug 18
AI killed the 10 page PRD. But the PRD isn't dead.

Here's how to write PRDs in the AI age: Image
Companies like Google are shifting to a build-first culture. And it's good. AI prototyping tools have completely changed the game, blurring role lines. Image
But that doesn't mean the PRD has no purpose!

The modern PRD is lighter, sharper, and example heavy. Image
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Aug 15
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Here's how to become one: Image
𝟭. 𝗦𝗵𝗮𝗽𝗲 𝗬𝗼𝘂𝗿 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗗𝗶𝗲𝘁

Follow the right voices:

YouTube: Jeff Su, Matt Wolfe, Dwarkesh Patel
Newsletters: Product Growth, Nate Jones, DeepLearning
Twitter: Santiago (svpino), Min (minchoi), Paul (itsPaulAI)
LinkedIn: Zain Kahn, Allie K. Miller, Ruben Hassid
𝟮. 𝗧𝗮𝗸𝗲 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀

Start foundational:

AI for Everyone by Andrew Ng
Elements of AI by University of Helsinki
Machine Learning Crash Course by Google
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