He gives one the best pieces of advice I've ever heard: if you are going to do something for a living, make sure it is NOT scalable.
If you do something that isn't really scalable, like being a welder or a tailor, then you only have to compete against the tailors in your neighborhood, and you can easily find a neighborhood that doesn't have a tailor. If you're building a scalable product, you'll always be competing against the best, most well funded, smartest people in the room.
Everyone here has grown up in the birth of the internet -- a once in ever event -- where building something scalable was just there for the taking. That's never going to exist again basically.
Creation has progressively been getting easier since the invention of the computer, it is not a new phenomena. This naturally pushes the boundary on what needs to be delivered in order to find paying customers. In other words, creation still is "hard" if you want to succeed.
> I launched something last week. 14 people signed up — no ads, just a couple of posts. 14 real people who didn't have to. That number is tiny and it felt like something. Then I sat down to think about what it would take to grow it and I couldn't look at that math for very long.
This applies to 90+% of founders that have ever launched something. The hard part comes from continuing to push forward when you experience this (which you will over and over). It sounds like the author expects that what was hard suddenly should be easy.
The moat isn't money for out-marketing your idea that 750 other people are building, it's having a good idea that solves a problem that nobody else is solving well.
Today, the money-making side has staged a hostile takeover.
The attention conundrum is just a symptom of a deeper financialization. Multi-billion dollar companies have turned profit into a data-driven science – analytically turning the screws on every script, product, and interaction to optimize for extraction. This is the destruction of the art of making things.
The real issue is that you cannot compete with an entity that has no respect for the art. When a platform replaces the integrity of the work with the logic of a metric, the independent creator is no longer an underdog – they are functionally excluded. You can be the best at any art, but in a system that prioritizes sheer extraction over excellence, your craft effectively ceases to exist.
I advice to grow up and do some proper research on what problem to solve, and how to build trust with audience before pushing your products.
I dont have much money or prior reputation when starting out, I blogged weekly, then slowly launched technical ebooks, one time utility app, and finally SaaS , took me about 6 years of showing up every day to have a job-replacing income.
Your other post mentioned you gave up and declared failure after 3 weeks of launching your SaaS, I think the timeframe expectation you had might be unrealistic.
Nevertheless, by counter-example -- OpenClaw's creator was just recruited by people with more capital than countries.
If they could "re-produce" it with their capital, they would've preferred that.
Whatever he has, is still a moat. What that is, is debatable.
Is it brand? Is it his creativity? Is it trust/autheticity? A vision? Ownership of a repo or leadership of that community?
All those are perceived moats (or risks) by these folks that tried to scoop him up.
Building a static HTML page was “hard” in the 90’s. It took actual skills.
Any piece that gets easier automatically opens up more hard avenues to tackle.
no one is willing to pay you for easy.
And let's be honest that's not a new thing. It's been already a long time since you had a revolutionary idea in the shower only to google it(or use an LLM nowadays) and discover that there are already eight different apps that do what you were thinking.
I'm not saying I have the next metagame figured out, but AI doesn't magically solve all the worlds problems by existing. It likely even creates a new classes of problems. In such an environment there's going to be opportunity.
Are the software shops and devs who were winning at churning out SaaS products going to be the best suited to this new environment? Maybe not, but adaptation wins over non-adaptation, something that has always been the case.
The hype machine currently pushing for agents is selling agents ability to do automated marketing. However the bigger companies know better than to create giant security holes and the small players are either not technically skilled, or will balk at the huge per-use fees for the good models, or will be drowned out because of low quality cheap model output.
Hint: Money is a nice thing to have but it is very definitely not a moat.
If a company is making above market returns and the only thing stopping a potential competitor from competing with them (aka the company's so-called "moat") is that "it takes money", that company does NOT have a moat.
It's very easy for a potential competitor to calculate that, after x-months or y-years, they will have made enough profits to pay for the cost of building the competing product. As long as that amount of time is finite, there is excess profit for a competitor to take, and the company will find it's so called "moat" wasn't a moat at all.
This isn't a new thing. It's been a fact for centuries or millenia. It's one of the many things that makes success in business hard.
Porter's Five Forces is one distillation of the foundational principles on which moats can be built (and yes, this is a non-trivial subject, so success in this area generally does take more effort than just reading or skimming the Wikipedia page, but if you had to distill it down to one sentence, it's probably "try to build something that has network effects").
It feels like that doesn't it? But, as one counter-point, OpenClaw. :)
Btw I did a deep-dive into AI moats last week and wrote a blog post about it. Relationships were most likely the strongest moat from my research - but definitely having a large amount of money in reserves helps. https://www.cjroth.com/blog/2026-02-11-moats-in-the-age-of-a...
Another conclusion could be that as building software gets easier (like it did for ex in the 90s and again in the 2010s), opportunities are created for new entrants to displace Bad Old Software.
Those expensive Enterprise apps that everybody hates? Are absolutely begging to be replaced by something better for half the money.
We still live in a world where most individuals own more compute power than most universities did in the '80s, yet the only sign of automation is useless push notifications.
Data behind one pane of glass can't easily be moved to data behind a second pane of glass. Simple stuff like "move my Instacart shopping cart to Costco.com same-day" is a manual affair. This is a subset of the general problem that more apps has resulted in more data silos that are generally isolated, without APIs, without automation.
There are zillions of problems out there for which people will pay money, but money chases the same 4-5 problems at a time. Just work on one of the other ones.
Then when I raised from a16z and had some money in the bank it didn't get any easier. The money didn't help (maybe it wasn't enough). Ad spend or content marketing or paid channels were all hard regardless of the free vs paid.
Maybe I just wasn't good at it.
That was before AI and you had to manually pound the bits into place.
Now with AI yes there are a lot of people shipping a lot of things but humans can tell when someone's put effort into something vs not and the time to traction is still as high as it always was.
Someone should do some analysis on number of things that go "viral" or gain adoption quickly today vs 5 / 10 years ago.
Getting traction has always been hard. Thats just business.
Wrong. Creativity, innovation, intuition, taste - all forms of thought solely inherent to humans, all going up.
This seems like an incredibly niche product that only a handful of people are interested in to begin with. It isn't an notable or surprising result that building it resulted in little interest from general audiences.
People are flooded by new projects and assume (rightly) that most are low-signal, so they don’t engage. Because there’s low engagement, new projects get even less visibility. That reinforces the belief that nothing interesting can be built anymore.
I ship earlier now (often free and open source) to learn faster, but it doesn’t change the attention dynamics much.
The bottleneck isn’t building. it’s distribution and who already has an audience. Now dont get me started on getting an audience. thats a whole different pain.
* Attention span won't stop them recognizing a solution
* Numerous solutions won't stop them adopting one
* That the developer put little effort into building that solution won't put them off.
The real answer is of course that there's a lot of stuff that being built that doesn't solve people's problems people have, either because it targets a problem that doesn't really exist or because it fails to solve the problem it does target.
>The thing I launched last week is called Kith — a paid, invite-only social network
Social networks already is an existing competitive space and making it both paid and invite only obviously will hurt its adoption. I wouldn't have been surprised if this failed to get users even if it was free and even if this was preLLM. A brand new social network doesn't truly solve users problems.
https://finance.yahoo.com/news/retail-investors-access-space...
It would be hilarious if the final "IPOs" will be in SPAC form with the help of SPAC king Chamath.
The value of human repeating other human's know-how through hard work and thinking is going down. Unfortunately (or fortunately?), many types of programming is one human repeating other human's know-how.
PostgreSQL, for example, has a ton of mindshare. It will be hard to dethrone it.
OpenSolaris was Sun's attempt to recover from the loss of mindshare to Linux. The a company that had become dominant in databases due to mindshare acquired Sun then failed to understand the mindshare play, and it killed OpenSolaris. Explain that one to me.
Even mindshare might not be such a moat now.
> I launched something last week. 14 people signed up — no ads, just a couple of posts. 14 real people who didn't have to. That number is tiny and it felt like something. Then I sat down to think about what it would take to grow it and I couldn't look at that math for very long.
They launched a paid social network, with no content available without joining a waitlist.
This would not have worked 20 years ago either. Bootstrapping the content for a _free_ social network is incredibly hard. But a paid social network where the only differentiating factor is that users are humans, and there is no activity in the network? Not going to work.
"One of the great benefits of AI tools, is they allow anyone to build stuff... even if they have no ideas or knowledge.
One of the great drawbacks of AI tools, is they allow anyone to build stuff... even if they have no ideas or knowledge."
into
"One of the great benefits of AI tools is they allow anyone to build stuff, even if they have no ideas or knowledge. One of the great drawbacks is they allow anyone to build stuff."
which removes the rhetorical effectiveness of the comment (and also breaks the promise of a quotation). I recommend that OP represents the source exactly.
____
I now see that this article contains multiple GPT-isms
Broken Git link: https://github.com/elliotbonneville/elliotbonneville.com
So the attention was there but not the conversion.
"Wrong side" means that people on that side have to work harder to reach us. The terms of the trade did not change because creators are not starting to pay us to get our attention. Well, it happens sometimes: free trials, free tiers, coupons, etc. but it's a well established practice. The post contains a reference to "do more marketing".
Maybe the guy doing their 9-5 can run many agents to make them money while they work their day job.
Is that a thing, you get hired at some company then you use an agent to work for you, deep fake video calls, cursor code... that would be crazy. Get another job and split your time between agents for minor corrections.
>This is not new. What's new is the scale. An AI can wake up (or whatever it does at 3am) and ship twelve of these before breakfast.
That's fun, I'm sure if somebody actually checked that and graphed it, you would not be able to pinpoint when AI starts on the graph
So yeah, techno-feudalism is going to drive us back to agrarian feudalism.
Hey, so I'm thinking about getting my car washed..
This article reads as overly hyperbolic; cashing in on the AI hysteria. AI derangement.
the gravitational threshold thing is real ngl. I've seen the same dynamic in product launches - identical quality, completely different outcomes based on whether you're already above the line or not. that part holds up
not sure the "creativity is the moat" counterargument fully lands either. yeah taste matters, but AstroBen's point is valid - anything that gets traction gets cloned basically immediately now. so creativity gets you first mover advantage for like... a week?
maybe the actual moat is just community? people who already trust you before you ship. which is a form of reach I guess, so kind of proves the point
There's an easy fix for this. Agent to Agent SAAS
I feel like all players are rowing downstream as fast as they can, in the hopes that they will be one of the lucky few to catch the few ropes while the rest of humanity goes over the waterfall.
There must also be some value in advertising to the "eyeballs" of the AI? Even if they don't (yet) make that much decisions about spending, they do influence human decisions.
But I also saw many people like him including the author of Flask. Also the author of XcodeBuildMcp, tailwindcss
Each thought is just worth so much more
AI has certainly made it so much simpler to just pump "something" out (slop), but did it actually make building something that went through hundreds and thousands of iterations significantly cheaper?
I also like to think AI is really raising the bar for everybody. In the past, you could easily get away launching a product with a crappy landing page and a couple of bugs here and there, is that still the case? Don't people just expect a perfect landing page at this point (when's the last time anybody specifically talked/ thought about responsiveness?) paired with a flawless onboarding etc.?
Even worse, my founder friends are all churning slop prototypes with Claude Code with zero product vision and are going nowhere. Is this revolution just a mirage that is FOMO-driven ?
Hard novel things are still hard and valuable, easy things are now super easy and really aren't valuable anymore.
Lets take an easy thing... like a meal planning app or a todo list or something. Its what we would all call a weekend project, but in 2022 it would be hard to develop, get the legal stuff reviewed, do the marketing, and do all the rest of the operations in a few weeks. That stuff is basically a series of prompts now.
Now lets look at a hard thing, such as decreasing the cost of titanium production (courtesy of orca: https://www.orcasciences.com/articles/there-has-to-be-a-bett...)... to be able to scale operations and bring the cost down you are going to have to do some real science and engineering... LLMs can certainly help you, but this challenge is a far cry from something that an LLM can handle.
*Novel things have just become MUCH MUCH more valuable, slop is way way less valuable*
This is a good point. If there's a problem reaching people because the information channel is saturated, the solution is to increase the information? And then everyone reaches the same conclusion and increases.
This destroys the channel. It's not a zero sum game. If everyone markets, nobody will make the sale because the customer will nope out and see nothing.
No! I fundamentally reject this.
The value of unoriginal thinking has gone down. Thinking which is quotidian and pedestrian has become even more worthless than it already was.
The value of true, original human thinking has gone up even higher than it ever has been.
Do we think no new companies will ever succeed now? Of course not. Who, then, will succeed? It will be innovators and original thinkers and those with excellent taste.
Why did stripe make big inroads in developer spaces even if they are in an ultra competitive low margin market? They had excellent taste in developer ergonomics. They won big not because they coded well or fast (though I know pc thinks their speed is a big factor, I think he is mostly incorrect on that) but because they had an actual sense of originality and propriety to their approach! And it resonated.
So many other products are similar. You can massively disrupt a space simply by having an original angle on it that nobody else has had. Look at video games! Perhaps the best example of this is how utterly horribly AAA games have been doing, while indie hits produce instantly timeless entries.
And soon this will be the ONLY thing that still differentiates. Artistic propriety, originality, and taste.
(And, of course, the ever-elusive ability to actually execute that I also don't think LLMs will help with.)
there's more problems then ever before that need empathetic humans to solve - are you up for the challenge - or you're doing a quick cash grab
due to people using machine gun approaches - spray & pray - we haven't forgotten how scalable human touch is -- yeah at first - you've to do things the manual way - reach out have a conversation - but slowly word spreads around without you spending money on ads | content etc
The only real fix is incredibly heavy taxation of income and wealth for the ultra rich individuals and ultra large companies. That is what will break through the money moat and create fair competition.
Is the purpose of a computer program to use processing, network and memory? Or is it to handle and manipulate information to give results which are useful to people?
Now the moat of having memorized intentionally convoluted and complicated programming languages has been taken away. Exactly like the printing press removed the monopoly on information which was held exclusively by priests and monks.
When tools make a job easier, they open up new markets for people to do and sell things which were too costly to offer before. AI translation alone means that small businesses can open up several markets they didn't have any access to, broadening the number of potential customers immensely.
But these new builders have a tool, they don’t suddenly have a newfound creativity.
I think with time we will stop seeing what we consider AI slop, simply because we know it’s not worth sharing. Instead great creative people will share very impressive things that simply wasn’t possible to build before.
Current examples: esoteric calculations that are not public knowledge; historical data that you collected and someone else didn't; valuable proprietary data; having good taste; having insider knowledge of a niche industry; making physical things; attracting an audience.
Some things that were recently difficult are now easy, but general perception has not caught up. That means there's arbitrage—you can charge the old prices for creating a web app, but execute it in a day. But this arbitrage will not last forever; we will see downward price pressure on anything that is newly easy. So my advice is: take advantage now.
Kind of nice to know I don’t have to blame myself anymore.
You know that if anything you build gets traction, it'll be cloned by 100 people, right?
There’s not the slightest chance an LLM or less than capable developer is whipping this stuff out in a day.
Software to most of this discussion is a web app with a landing page, a pricing tier, and MRR. That's it. The frame is "product," the metric is "traction," and the canvas is "things people pay $9/month for."
But software is instructions that make matter and energy do things they wouldn't otherwise do. It's the most general-purpose tool humans have ever built. So let's actually think about what's underbuilt:
The whole damn physical world is barely instrumented. Agricultural systems, water infrastructure, building envelopes, soil health, local microclimates. There are farmers making irrigation decisions on vibes. Municipal water systems with no real-time leak detection. Buildings hemorrhaging energy because nobody's modeled their thermal behavior. These aren't apps. They're control systems, and they're mostly missing.
Fabrication and manufacturing are being transformed by CNC/3D printing but the software for designing things to be manufactured is still terrible (and inaccessible!). Generative design that accounts for material properties, toolpath constraints, assembly sequences. CAM software is where word processors were in 1985.
Scientific instruments. A spectrometer is mostly software now. So is a radio telescope. So is a seismograph. Every goddamn thing can be a thermometer (accidentaly!) The gap between "data sensor exists" and "useful scientific instrument" is almost entirely software, and most of that software is written by grad students in unmaintained Python.
Preservation. Some people are doing this with datamuseum.dk. But expand it: there are entire musical traditions, oral histories, craft techniques, ecological knowledge systems that exist in living memory and nowhere else. Software for capturing, encoding, and transmitting that knowledge barely exists. Not "an app for recording grandma," but formal knowledge representation of, say, how a master boatbuilder in Kerala selects wood by sound and flex.
Prosthetics and rehabilitation. This one is big for me personally! The gap between what a modern prosthetic limb could do with good software and what it actually does is enormous. Why are my eyeballs still chunks of plastic? Same for cognitive rehabilitation tools, speech therapy systems, physical therapy feedback loops.
Governance and collective decision-making. Every organization above 20 people is making decisions with tools that are basically "email plus meetings plus a shared doc." Formal deliberation systems, preference aggregation, transparent resource allocation. These are hard computer science problems that nobody's building because they don't have obvious MRR.
Tools for thought that aren't note-taking apps with backlinks. Actual reasoning aids. Argument mapping. Assumption tracking. Decision support that makes your thinking better rather than your typing faster.
The entire domain of formal verification applied to things that matter. Bridges, medical devices, voting systems, financial settlement. We have figured out how to prove some? software correct. We almost never do it for the software where correctness actually matters.
And that's me, one person, in five minutes. Every domain expert in the world is sitting on a pile of unsolved problems that software could address, and most of them have never talked to a programmer because programmers are busy building the next task management app.
Go talk to a nurse, a farmer, a building inspector, a food bank logistics coordinator. Ask them what's broken. I promise the answer isn't "nothing" and I promise nobody on ProductHunt is solving it.
PG wrote essays about this ffs! "Make something people want." "Live in the future and build what's missing." That advice didn't stop being true because AI made the building part cheaper. If anything it's more true now, because the building is almost free, which means the noticing is almost the entire game. You are skipping the noticing and going straight to the building, then wondering why nobody cares.
The number of hard things isn't going down. This thread can't see them because it's not looking at the world. It's looking at ProductHunt.
To make things concrete, in the last week I have been working on my open source speech synthesizer, rebuilding Klatt's ideas from the 1980 paper up to modern emotion/prosody work. Did you know the whole field went nuts for neural approaches in ~2018 and there's a whole shitload of interesting papers just sitting out there that nobody has ever implemented in a real system? Did you know that a bunch of people did research into what different human emotions sound like and now I can make a depressed speech synthesizer, or, scarily, one which sounds more honest to people?
AI seems like the odd man out of the group, until you understand the utter horror that is weaponized post-scarcity economics. "The only moat left is money" is the plan. It was always the plan. The goal of AI - or at least, the goal of AI to the cult of people who mindlessly agree with it is to replace humans with pliant digital slaves.
A handful of people doesn't own most of the country by accident.
Abundance of copy cats that cannot make any money as prices are raced to zero.