It's a slide deck telling people what a product can do (that's a normal thing to release for a company), but the thing it tries to sell you on is building your own business based on their tool.
Which makes no sense the way they sell it, because "founding a business" is no standard process that could be formalized in a way like that, nor does it make sense for society to have people founding businesses at a scale comparable with mowing your lawn or doing your taxes.
All of this feels just unreal because it is unreal. Founding cannot be a commodity. If it is, you have no moat or point, meaning you instantly collapse again, because you are an interchangeable commodity.
A lot of people already treat being a founder/entrepreneur as who they are, not what they do--witness the endless tide of LinkedIn posting about hustle culture, divorced from reality. This is an extension of startup chic.
IMHO you still need to find the product and PMF
There are bunch of books startup world recommends which sort of all start from the principle of product, users, traction.
This is sort of scaffolding around that. It's not entirely insane to try to formalize this process - there already are books that do this (Bill Aulet, Disciplined entrepreneurship).
"nor does it make sense for society to have people founding businesses at a scale"
Maybe not at scale of moving lawns but I'm pretty sure the world is full of nichces that still lack specific software offering or where options of software offerings are limited.
This is like "Uber for logging" or "time reservation system for cat dentists" level of "take existing product category and apply to a domain you know".
So not every cat dentist needs to found a cat dentist time reservation app but I'm sure there are niches withing niches with business opportunities awaiting.
Perhaps now it’s only two levels but still somehow pyramid shaped.
That we can describe something like “validation” in the abstract and automate some part of it says nothing about whether it’s worthwhile. I’m hard pressed to think of anything that anyone pays for that doesn’t meet this description. Why should being a founder be special or different?
We are actually seeing that in that the number of apps on the app stores is increasing but usage is not increasing.
Some would argue that the right process will lead to the right results.
You are exactly correct! You're very insightful to see that AI is perfect for validating ideas. It's not just sucking up, it's swallowing. Would you like to delve into coding up a Synchopancy as a Service web site?
It makes no sense, but most technical people wished it could be like that and that's who this article is aimed at
Lying is bad.
They're delusional. They must stop
So access to capital and clients, connections ,that's the last standing moat I think.
Understandably so, but still.
Such gatekeeping.
Does experience founding a business make you better at founding another, unrelated business? I would say it does to some extent.
It absolutely does. AI and robots drives the cost of labour down; it's good for capital, bad for labor. If everyone is a business owner then everyone can benefit. A hundred years ago the majority of Americans were self-employed; mass wage labor is a recent phenomenon.
If it’s a guy starting his own taxi service with his own app he paid a guy $2000 in Ukraine to produce (as a guy where I live did), that’s different.
And that relates to the lack of timelines and focus on how long things took around 2020 BC, that is Before Claude. Building a startup isn't like having a lemonade stand as a kid where you just don't bother to do it if you forget to buy lemons or it's rainy or something more fun comes along. There's a significant compound interest element to startups that's easy to overlook. Your codebase grows over time and so does your feature set and that collection of features attracts customers in a way one thing might not. You learn as go, of course, too.
This seems particularly relevant to the GTM section, which I was particularly amused by since that's what I'm focused on right now. It's a long game. Your blog post doesn't get found by anyone in Google until you've built up your SEO mojo, your LinkedIn post isn't read without the followers you need to accumulate and your content has to get engagement for people to see it even then, you don't start off line with a million followers on X, etc.
I'm not sure it's a crazy idea when you can run a whole revenue generating company with basically zero employees. You could have a successful 'startup' generating 200k in revenue a year, you just need to cover the cost of your anthropic subscription.
There is something that will never change for being a founder, you need to sell, and for that you need network and credibility. It was never about the building, its all about the selling. AI has not changed that.
But it has. AI can help you do market research, develop buyer personas, evaluate potential customers, create, analyze and enrich prospect lists, evaluate marketing channels, create ad copy, write sales scripts, think through objections and how to respond, etc.
Will it turn you into Jordan Belfort? No. Will it be 100% successful or effective? No. But can it help enough to make a difference? Sure, in enough cases.
I am positive this will settle down at some point, but the difference will always remain about your own abilities, not that of AI.
In many markets, yes. If you're a software buyer, for example, your inbox, LinkedIn, etc. is filled with AI-generated sales outreach. And you know it's AI.
But keep in mind that there are tons of markets (think local services) where buyers aren't familiar with AI. They don't know that what they're reading was produced by AI, and they wouldn't care.
In these markets, if you use AI, you have a realistic shot at being "better" than your competition, and if you use it even a little bit more effectively, it can make a real difference.
It does not matter of they are drowning in it. If their inbox is filled with slop pitches, whether AI or not, they will stop reading.
AI is a tool. A starting point. A feedback mechanism. It's not the end all or be all.
There is no shortcut to hardwork, but llms somehow have people thinking that is the cases, it plays so well into people's desire to be as lazy as possible.
I know a small business that generates many of their leads by responding to posts on social media. They recently started using AI to create personalized comments responding to these posts instead of generic comment templates they used before. The number of leads they're generating from their social media commenting has skyrocketed.
Facebook, Instagram, LinkedIn are flooded with AI content. A lot of it is "slop", yes, and it's kind of annoying if you know where it came from, but you're missing the big picture if you deny the reality, which is that if AI content is created in a way where it does have some value, average people appreciate the value and don't have some ideological hang-up over how it was created.
AI is just a tool. It can produce absolute rubbish, but it can also produce some decent stuff too.
Nor did the web, or mobile, or any other innovation. That doesn't mean you can't build your business around an innovation.
This is like when AI bros claim that AI has changed absolutely everything for their project but the first thing they do is reach for docker compose, react and postgres. Why don't you forget the bloat and have your LLM make your container, vdom differ and lightweight DB?
It's very surreal to have to point this out.
To sell something to the masses you fundamentally need a product to sell. Agreed.
And you fundamentally need a way to find the customers for that product that need it at the time.
And you fundamentally need a way to interact with those customers that can persuade them to use your product.
Lots of aspects are vitally important to the overall success.
(Technically that also applies to MS Teams, Google and so on and not just AI)
This is fairly funny coming from the company whose employees report merging in hundreds of PRs per engineer per day, and accidentally leaked their own source code through a security misconfiguration in a package manager they own.
Sounds super stable and cool.
It seems like CYA; with all the marketing about how LLMs will solve all problems it was really surprising to see that, but legal probably told them to go easy on it.
It matters a lot what size the PRs are, and this varies wildly from place to place. I spoke to someone who instituted a “no PRs over 500 lines” rule. I would refuse to even read something that big unless it was just a find and replace or boilerplate.
"employees report merging in hundreds of PRs per engineer per day"
"<filename>-05062026_v3 (1).pdf"
So there were 4 iterations on 5th of June alone for this document
Even if you believe AI-native startup is the future (the comments are divided), you would at least want to hear from an impartial source.
This is just marketing material.
There’s just too much invested, in terms of beliefs and money into the idea that founders are special and therefore deserve seven-eight figures off of the capital pumped into their unprofitable products.
You’ll see it here in comments. People will defend A”I” applied to software engineering wherever (not) possible, but building companies? Now listen buddy there’s an irreplaceable human genius at work.
Anecdotally, Someone I know said that their manager just asks them if they have drank water or not and motivate them, and the company wants them to make on their personal time what they are building with AI and showcase it.
So they were joking that they were building a replacement of their manager using Claude, and although they were joking, but only partially.
If anything, the managers, rationally speaking might be the one to be outsourced.
Of course, though recently I have come to realize that world isn't completely rational but I have found that on the long term, it still rewards for rational behaviour (sometimes) so I think that these managers on Linkedin should feel a bit scared... (as they are probably just prompting AI to write the linkedin-texts)
What if they are already scared and this is their way of coping with it? Nobody wants their job to be redundant and I wouldn't say that tech is completely scott free but rationally I find that tech has this taste/authenticity factor and there are too many factors but I must admit that these AI companies are succeeding in trying to force the narrative about jobs being completely redundant combined with job market, to make the labour vs capital divide even larger.
I feel as if this is why people want to be on that side of the battle and this Linkedin-Ai-founder-syndrome is a symptom not the cause.
We engineers are trying to optimize from the tech side through let's say AI to building lots of tools that we otherwise couldn't have had made due to lack of time but we had many ideas from any issues we face at tinkering/work etc..
and the managers not having to do any of it, lack the ideas in that aspect but they succeed in trying to project something even if the reality of that thing doesn't exist. So they are trying to do that.
I don't know, I don't believe much in the divide of engineer vs manager but the fight is larger than it but we are infighting...
We are all just fighting to get to the other side of the line of a broken system but oh well, so it is and I am unsure in what capacity can we fix it but I still hope deep down that things will improve for better because I guess hope is what makes us human.
I had a bit of a laugh. The non-technical business experts are much more likely to achieve success than the technical experts. They can actually talk to the customer and get the customer to care. No quantity of GPUs and gas turbines can correct for a lack of personality or reputation. The technology is generally not the hard part in most businesses, despite the extreme efforts of certain technology people to make it seem so.
From 2015-2019 I spent the whole time saying "If I don't write the code nobody does". It was the point of saying to do anything requires a team, to build that team you need funding. It was a vicious cycle and took a long time to get enough traction to raise funding and do that... and then you end up in the MVP loop -> hire -> build -> validate -> rehire -> rebuild -> revalidate. Today all of that has changed. You don't necessarily need the team to write the code, it's for a different function entirely, maybe the original function which is the team was the orchestration engine for all the different pieces at play to make a company and product successful. The code is only half the equation. Looking forward to seeing how solo entrepreneurs leverage these tools and how teams transform using them.
Founders are individual contributors? Hmmmm.
So either go viral or go home.
Obviously personal connections, timing, market position all play role but let's be honest - this is not something that can be planned although in retrospect it may seem so. A % of the population will get all of this right many times in a roll but this is just mathematical certainty.
Loss of objectivity
The challenge: Ask an AI tool for evidence supporting what you already believe, and it will find it. Confirmation bias now comes with a research engine.
Who knows, maybe an AI ideated and AI created product will be the best app of 2026.
I've noticed that seemingly every single tech company has re-branded themselves as "AI" company. Add a RAG system and you're now AI. Add a AI-chatbot, and you're now AI.
step 2: find a way to solve that problem for less money than they are willing to pay
step 3: AI???
It's kind of analogous to how I'm writing code right now. For simple stuff or low priority stuff I'll fire claude at it and won't look at the code if it works. But for the important stuff I'm very carefully integrated into the cycle making sure what's coming out at the end is just right. I'm carefully constructing prompt loops and validation cycles to make sure what comes out looks like what I want - because I have the knowledge and experience of what works for my specific use case. Drafting an investor memo seems like the second category of thing, you need it to be right. I don't think claude offers much of value there. What's more - if you start slopping your investors, you are going to piss them off. Unless Claude is going to say it has some special data source it's used to train on so it knows good from bad, I think this is a bad idea.
This article also kind of fits in the category of "Here's how to use AI for EVERYTHING!" and actually it would be far more valuable to say "This is the bits that AI is good at, and here's where you need to do it yourself" - which is obviously a position that Anthropic can't hold.
Here is the direct link to the slides:
https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/...
Just think about website design, I don’t think it’s far-fetched to say that a non ai design website will outperform an ai designed one. These percentages add up in multiple disciplines.
I would argue betting against ai is your best chance of succeeding frankly (not in all cases but certainly as displayed here)
Detail-oriented work with lots of output that can cover up the noisy bits of thoughtless garbage? Sure, great.
Analysis-oriented work where decisions have consequences over large amounts of resources? Only an idiot would use these tools for that.
Maybe as a conversational note-taker, but anything more and you don't know what you're doing.
Right now, people with ideas prompt their LLM by saying "I know how to make x, how do I turn that into a business?" Anthropic knows that, and releasing a playbook like this is a way to make people who haven't asked that question think to ask it.
For a non-technical person with a small business they don't know how to operationalize, an agentic workflow is a game changer. You might go from only getting 30% of your work time to build and improve your actual product to 50% or 70%.
Can you imagine having a knitting business, and suddenly being able to gauge interest for different colors with a website selector you'd have no idea how to automate? Or needing to close your shop for an upcoming holiday, and having Google and Apple Maps and your website all updated to reflect your closed dates cleanly, without having to fight through every UI? An engineer goes "bah", a baker goes "I just got to sleep two more hours".
I truly think that people in the tech industry do not understand how hard technology is for people who aren't in it.
When it comes to AI, a lot of them don't want to understand because it threatens their livelihood.
This does not sound like an issue small craft businesses have, but something programmer think is a thing.
Businesses need to gauge interest and experiment with options. Knitting colors was my example of that, since I've got some personal experience helping a knitting business.
If you're a nontechnical craft business owner, the work of figuring out what questions to ask to grow your business is absolutely nonintuitive, and it's one of the things LLMs are best at. The fact that it can also modify your website or listing or what have you is an additional benefit; I chose to use that specific benefit to make the concept potentially more legible to the HN audience.
The cope here is that no one will build there own Shopify or SalesForce or Airtable because “the selling is the hard part.” They don’t need to sell and market it for those SaaS to fall.
Like what do we really still need?
Most riches nowadays are created by entertainment or scams :/
Was the PDF created by webflow? a bit ironic.
Maybe Anthropic should read their own founder's playbook to create a replacement to this tool.
(Yes, I know that when involving cdn's, there's much more to the infrastructure as well but isn't that what anthropic is promising in the founder's playbook that you can be a founder which solves problems [from my understanding],
My point is that there's probably much more to it than what might've been suggested which isn't a neutral source in the first place)
Similar to Shopify and all the make money online dropshipping slop they produce.