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How long it took different companies to find product-market fit

280 points| richardzhang | 2 years ago |lennysnewsletter.com | reply

78 comments

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[+] chrismarlow9|2 years ago|reply
Beware of step 2 to step 3. I call it "chasing the whale". The problem is the "whale company" knows they are a whale. You'll slowly watch your entire development timeline and features shift to benefit only them. Your company basically becomes a contractor for them to get X feature working (and nobody sees this feature being helpful to any other customer). You can't get rid of them because it looks terrible for funding that you dumped such big potential. Technical debt piles up from priority shift and then the whale is gone. You were only a POC for them, and in the wake of being side lined as a priority other customers leave.

I've seen this happen multiple times.

[+] xnorswap|2 years ago|reply
I've also worked at consultancies who let their software product strategy be effectively doomed by this.

The sales team were always underselling the software (often just giving it away for free to land consultancy contracts); promising the moon to "large" companies because it looked amazing to get such a name on our homepage and looked good at the monthly company meeting.

But the reality of large companies is that they are a many-headed beast, and just because you've sold some software to "BigCompany", doesn't actually mean much if you've actually just sold to the 4 person HR department of a local branch of a sub-division spin-off.

That department leverages their "BigCo" name to get the world at a knock-down price, while the small company is throwing everything at chasing the promise of huge future revenues "when BigCo roll out fully" which never materialises, or happens in name only.

Very often it turns out it's only ever "Dave" that had even heard of your small company / product and was just using it for some other BigCo political games. As soon as he leaves BigCo, because he leveraged "his HR transformation project" into a better job offer elsewhere, you struggle to even get a single person at BigCo to pick up the phone. To be fair, they'll happily keep paying your invoices for the contract, but remember you sold at a loss for the promise of future revenue which is now never coming.

But hey, it's okay, because your own sales team have also moved on and are now promising that if you just rush in feature Y then we're sure to get a sale with MegaCorp. ( Repeat endlessly, to the stress of the rushed development team whose time has just been undersold again. )

[+] superfrank|2 years ago|reply
I work for a multi-billion dollar publicly traded company and I've watched this happen to a new product that our org launched last year. One big customer set the direction early on and got used to us building exactly what they asked for. As we've gained more customers we're having to tell them no more and more often and they're getting less and less happy. We're locked in to a long contract so they're not leaving anytime soon, but it's turning into a constant battle with them.
[+] mlhpdx|2 years ago|reply
Or, you get past the POC and “land” the whale. You take a deep discount on price to lock in the revenue. Now you have revenue, but insufficient to hire and grow. Rinse and repeat. All the debt (technical and financial) and a dim future.
[+] AndrewKemendo|2 years ago|reply
This happened to me and my company with a F10 retailer in the US long long ago

The reality is, most times you have no options and that whale is your highest likelihood exit

The reality is, this is what being in a market with what are effectively monopolies looks like. You either bully your way to the top or have to deal with being bullied till you can get out.

[+] lennysan|2 years ago|reply
Very important insight. Thanks for sharing it.
[+] ketzo|2 years ago|reply
> There are all these horror stories in Silicon Valley of these companies who got to 150 or 200 million revenue and then didn’t grow

Yeah, what a nightmare that must be.

I’m being a little glib here — I understand that if you’re making $200M at a cost of $400M and your investors are expecting $2B and you stop growing… you’re in deep shit.

But christ, people, can’t we get a little perspective?

[+] kimixa|2 years ago|reply
"Infinite Growth or Death" is an impossible goal but still people seem to strive for it.

Though most VC funding seems to have the explicit goal of "Burn cash to drive out competition so you have a monopoly, then abuse your market position to wring your locked-in customers dry", which feels awful from a consumer POV.

[+] anon35|2 years ago|reply
It sounds like you already have exactly the right perspective. It _is_ a nightmare. That $200M isn't their money, it's not in their pockets, and it's far short of what it was hoped to be. You framed it perfectly, and so did they: they're in deep shit, and it's a horror story.
[+] boringg|2 years ago|reply
What do you mean can't we get a little perspective? In terms of running a company vs the real world? Sure but this thread here is a more targeted conversation.

If you make 150-200 M in revenue and can't grow bridge the gap from revenue to profit to sustain operations you have a serious problem on your hands. I think you need a bit of perspective on what that means as you now have a lot of dependent workforce that you likely have to layoff to bridge it.

Yes it is impressive to make it to that point of revenue but your future is looking difficult especially as you probably have layoffs in the future - which is awful.

[+] superdisk|2 years ago|reply
How do you spend $400M?
[+] marcus_holmes|2 years ago|reply
Utterly pointless because he didn't interview failed startups about how they felt.

It's like doing an experiment and only counting the "successful" results - this is worse than "bad science", it's intentionally misleading science that actually sets us back.

We really don't need any more survivor bias. Please go interview some failed startup founders. There might have been a crucial difference in step 2 of these 5 steps that successful founders did and failed founders didn't, but we won't know about it because there's no data from failed founders.

[+] Xenoamorphous|2 years ago|reply
I guess if the point is to find out How long it took different companies to find product-market fit (title of the submission) you could argue that failed startups never found it?
[+] AndrewKemendo|2 years ago|reply
You’re assuming that there’s a population of companies that failed, but also had PMF

This is a contradiction as PMF is defined as having BOTH successful business relationship and product used.

Where are these failed companies with useful products that people are using?

[+] twodave|2 years ago|reply
Anyone else a bit skeptical of the “time to having a live product” timeline of many of these companies? Maybe I’m wrong, but e.g. there’s no way Gusto produced a working managed payroll product in a month. There must have been either been significant pieces of their product that were pre-existing or else they built an interface to someone else’s product.
[+] bennyelv|2 years ago|reply
Great inspiring article, but I think there’s much more nuance in reality that it doesn’t address.

My company (we’re multi-product) has been working on a new product that ticks a lot of the boxes that are proposed here, but that is still nowhere near PMF.

There are > 100 paying customers who pay ~$30k for the product.

There is a small set of these customers who absolutely love the product.

That’s steps 1-3 done.

But… Overall retention is low (varies between 55-60%).

Sales are pretty flat and seem like a real struggle. Customer acquisition cost is 130-150%.

Just because you got these first 3 milestones doesn’t mean that the rest naturally follow.

My view on this product stalling is that it doesn’t really get the results that the customers think it’s going to and they cool on the idea and stop using it, but… you have companies like Snowflake that went to market claiming to be the one data platform to rule them all, which was also a large over-promise (it’s more expensive, slower, complicated than what they promised) but it grew explosively and IPOed.

Even towards the end of the journey that this article describes there’s still major rolls of the dice that affect the outcome.

[+] withinboredom|2 years ago|reply
> But… Overall retention is low (varies between 55-60%).

Assuming you have a yearly terms (which you should, if at all possible), try to identify customers who might churn (using the product less, etc.) and spend some time with them -- literally, just send them an email to hop on a call. Try to understand why they are using the product less. Do the same with the ones who love you. Figure out what is different.

Usually, this will grow into a "customer success" role, but it has to start somewhere.

[+] kwanbix|2 years ago|reply
Side Note for Lenny, in case he is reading: whenever I try to add my email, I get "We were unable to validate your email domain". Of course my email is valid. I just use a forwarder email address, mixed with a catch all, so that I can do [email protected]. But your website would not accept it. It is the only ever website that rejects it. Of course I would never give my real email.
[+] remram|2 years ago|reply
If you're using escribime dot com (as per your profile page), you're missing an MX record. Software will usually default to the A record in this case but that's not exactly standard.

edit: it also refused my connection on port 25

[+] lennysan|2 years ago|reply
Oh hi! That's very strange indeed. Have you tried emailing Substack support? I'm not doing anything weird here.
[+] dustincoates|2 years ago|reply
That's strange. I do the same thing and Substack (and specifically Lenny's newsletter) accepts it okay.
[+] drx|2 years ago|reply
This is such a great post for so many reasons, but I'm glad Lenny made that chart in particular. The overnight success fantasy is toxic and I've seen it infect (and sometimes ruin) many startups.
[+] falcor84|2 years ago|reply
>If you build it, they will come—if you have strong product-market fit.

That's Tautology of the Year material.

[+] ethanbond|2 years ago|reply
All startup advice is either tautological or so ambiguous as to be as true as its opposite. The reason is that no one actually knows how to do this stuff. No one has identified what ingredient or set of ingredients distinguishes successes from failures, except for rapidly learning and pivoting (but but of course you can’t pivot too quickly, as this graph shows!)
[+] seanoliver|2 years ago|reply
Props to the Airtable team for keeping the faith for 2.75 years between launch and first customer.
[+] simonbarker87|2 years ago|reply
Something feels off about that and the other time lines. I’m sure I remember paying for Airtable pretty soon after it launched for a couple of months. Perhaps the timeline chart is literally just for the B2B channel?
[+] h1fra|2 years ago|reply
I don't think the data is very "scientific", e.g: slack was officially launched in 2014 and got immediate traction. Yes there were 4 years of development but it wasn't even the product they wanted to sell.
[+] gcanyon|2 years ago|reply
If it takes a year or more to go from launch to first paying customer, what are you doing during that time?

Of course, you could be purposefully giving your product away while building the premium, paid-for features. I think that applies to some of these companies, and I'd be more curious about the time from launching that version to paid customers.

[+] joshuanapoli|2 years ago|reply
> Stop thinking of product-market fit as a yes or no question—but instead as a process of finding fit with more segments of the market.

This seems really true to me. Though the nature of the search for PMF with more segments changes after passing some milestones. It’s more difficult to make large changes in the product once you have a basic level of traction and growth.

[+] j45|2 years ago|reply
Very well said.
[+] greatNespresso|2 years ago|reply
Cool viz, yet I find the timeline misleading for some companies. Taking segment for example, sure, the moment they pivoted to CDP kind of business they reached PmF quite fast. But that happened only a year after their initial idea. They kept building and failing until they finally got the segment idea and famous Show HN.
[+] akhayam|2 years ago|reply
What an excellent post. I love the "first felt PMF" criterion which is the right way to think about it because, like validated by interviews in this blog, most of the times you remain unsure that you have actually found PMF... and that's perfectly ok!
[+] squirrel6|2 years ago|reply
> The group that you haven’t achieved product-market fit with is the one you really want to target

So well said, I never really internalized this until just now

[+] paulsutter|2 years ago|reply
Notice that products get more amazing towards the bottom of the chart.

Building a great product is the challenge. Once you choose target customer and problem to solve, PMF is trivial but the hard work is still ahead. iPhone, Falcon 9, Starlink - none of these ever pondered PMF. They set out to build the most batshit amazing product for a specific purpose, and you can add Figma to that list

The whole concept of PMF seems to be based on the lottery-ticket view of startups, "I don't know who is the customer or what they need, but someday I will randomly stumble across it".

[+] istillwritecode|2 years ago|reply
Google went about two years until they showed their first ad. They initially thought they would be providing search to companies for their intranet.
[+] mkl|2 years ago|reply
> They initially thought they would be providing search to companies for their intranet.

Really? Page and Brin were focused on public web pages and links from before Google existed, through their PhD research [1], so switching to intranet seems strange.

[1] https://en.wikipedia.org/wiki/History_of_Google

[+] etaioinshrdlu|2 years ago|reply
Are there any interesting details about the intranet search products?
[+] jchnxu|2 years ago|reply
I have read about the journey of Figma and actually watched their CEO's early video call and their CTO's github WebGL demos. It's an amazing 5yrs
[+] acyou|2 years ago|reply
Great article. I would like to also know how close, or the closest time each of these companies felt to dying, or if they ever thought they wouldn't find PMF. Or when they knew they would get to PMF. Or if they always believed they would get to PMF.

Is a dead company just the same as one that never found PMF? Is that how survivorship bias is accounted for?

[+] nomilk|2 years ago|reply
> One of the most interesting takeaways is how often founders never fully felt PMF

Perhaps it's a shared trait among great makers. Like an industrious person feels their work is never done, a good maker feels they've never fully achieved PMF.

[+] j45|2 years ago|reply
PMF doesn’t mean work is done, if anything it’s a start.