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

Jul 11
Which is it: use LLMs to improve the prompt, or is that over-engineering?

By now, we've all seen a 1000 conflicting prompt guides.

So, I wanted to understand:

• What do actual studies say?
• What do experts at OpenAI, Anthropic, & Google say?

Here are the answers: Image
I spent the past month in Google Scholar, figuring it out.

I firmed up the learnings with Miqdad Jaffer at OpenAI.

Some of my favorite takeaways from the research:
1. It's not just revenue, but cost

You have to realize that APIs charge by number of input and output tokens.

An engineered prompt can deliver the same quality with 76% cost reduction.

We're talking $3,000 daily vs $706 daily for 100k calls.
Read 10 tweets
Jul 5
If you're preparing for PM interviews in 2025, there's one question type you cannot afford to mess up: Metrics.

Here's the history of how it over took product hiring and why it's the silent killer of PM dreams: Image
PMs have been getting hit with questions like these...

And while they’re not as sexy as product sense or design...

They’ve quietly become non-negotiable in most interviews. Image
So, what happened?

In the late 2000s, Big Tech needed a way to simulate real PM work...

- Something they could ask in 45 minutes
- That showed judgment under pressure
- And gave them clean signals across a large candidate pool.

Metrics interviews were perfect.
Read 9 tweets
Jun 26
Jira Product Discovery (JPD) just launched their biggest update yet.

It will take them from 18K → 36K customers.

Here’s why I think so: Image
1. From Teams → Teams of Teams

I covered Jira Product Discovery (JPD) earlier this year.

They were really good for a product team.

Now, with this month’s launch of Premium, they are really good for multiple product teams.

This is a huge unlock…
2. The Lack of Standardization Problem

For a Head of Product or CPO that has multiple things they are taking care of, it’s hard to get a central view of everything.

Everyone has a slightly different roadmap template.

JPD allows you to centralize all of that!
Read 9 tweets
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

Here’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 didn’t.

You’d ask for help…
They’d return gibberish.
That’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 it’s the real unlock.

Today’s top models (like GPT-4.1, released this week) can:

→ Break down complex problems
→ Think like PhDs
→ Make sense of ambiguity
→ 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
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

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