The issue is most of these demo are created by developers. Most of the developers don't have interests or skills in product and design. So they use AI to write code, not build product.
Another mistake everyone making is not building better and bigger products. What is used to take a month to develop is now possible in few days but most don't put the same effort as before to make bigger and better products. They just do they same as what they used to do before but quickly. This is a mistake. AI uplifted everything so products built with AI should go to next level.
I'm an indie mac app developer. My first product took me 6 months to develop without much AI. I just released my second app ( https://www.vinaa.ai/ ) but took the same time to develop as I wanted it to be the best AI chat app. So I spent a month building my own markdown renderer in TextKit as existing library are not fast enough. I wouldn't done this if I don't use AI.
It’s a great question, but I don’t think the article answers it.
Not in any academic sense, but in a real-world sense a software product is something that as a user you can rely on to solve a problem. Rely is doing the heavy lifting in that sentence.
You can rely on a vendor’s product if (a) they’re going to be around for a long time, otherwise the investment into adopting it isn’t worth it; (b) the vendor is committed to solving your problem in an ongoing way - meaning they understand enough of the domain (ideally more than you do) that they’re going to be a partner even as your own needs evolve; (c) they deliver the product in a dependable way - high uptime and security.
So it comes down to “can you depend on this software over time?”
My office has cut down SaaS costs by a couple of tens of grand a year, simply by making our own versions using LLMs.
It is not that we didn't have the expertise to do so to begin with, but it would simply have been too expensive and time consuming. That was solved once the models became good enough.
There's a lot of money in the SaaS world, where the products are both unglamorous and one-trick pony-ish. Making your product LLM-proof can be challenging today, unless you happen to own a lot of data or lots of compute, and those two are the drivers behind your product.
In real terms a product is the delivery of a service or other item of value. Specifically within the realm of software it is the promise of the delivery of software that will do what it says it will do, and then maintain or fix it where it falls short.
E.g. it's now about the delivery of a service rather than the challenge of building it (e.g. the moat) and then the delivery of service of it afterwards. Non functional requirements like data management and security, legal requirements and hosting are still valuable things that aren't front of mind for most developers creating their own tooling.
This just reads like someone's cross at the AI hype and wanted to take a shot, but missed.
The underlying point --that network effects exist and determine the success of a product-- has always been the case, long before AI made it possible to vibe code a rough Instagram clone in a weekend.
Anyway, if you want a successful new product, the path to success (obviously) isn't likely to be copying an existing behemoth, but offering something new, unique and valuable. That's always been the (exceptionally difficult) challenge, and AI doesn't help with this. But I think we can be confident that in the future, as humans do create new, unique, and valuable products, some of them will probably be vibe coded.
>A real product has real users, a real market and solves real problems.
This misses the mark.
A product is something which can be exchanged with others, transferred into their agency, for them to own and use according to their free will.
They don't have to use it or indeed 'be a user' - it is up to them whether or not utility is derived. The only requirement is that it is exchangeable and that agency has been transferred in such a manner that all parties involved in the exchange are satisfied with the transfer of agency.
A project is some activity which has an expectation of changing state over time.
Project management means projecting the scope and sphere of that activity into the future, in order to change its state in such a way, hopefully, that something exchangeable is produced. Product management means, making sure a satisfactory exchange occurs between the creator of a product and its new owner.
So many people get this wrong.
It is not a product if it's a project. It is only a product once it has been exchanged with another entity for their purposes.
You can have many, many projects which will never become products, because they won't be exchanged with others. You can have products which are valued by their owner in ways unintended by their creators. The value and utility is arbitrary to whether or not something is a product - the only requirement for something to become a product is that it is exchanged.
Successful product(S) are exchanged at scale. A single product can be very successful if the scale of that exchange is high. A lot of products can be very successful if the number of exchanges is great.
Until the exchange occurs, it's not a product. It's a resource. Inventory.
Side projects become products only once they are exchanged.
There really are plenty of Google analogs. There are plenty of chatbot analogs. Any one of us can recreate Instagram or X. These competitive analogs simply have not become products, because they have not been exchanged. Products which harness human collectivity have the problem of not being exchanged at scale until the collective decides to participate in the exchange, i.e. recommend their friends sign up to join them.
The problem with easily started new side projects is that they are not so easily exchanged at sufficient scale.
Not sure I understand the need for the exchange at scale. If I build a tool that lets a single person automate a tedious calculation then as long as they can depend on me maintaining it then it’s a product as far as I’m concerned.
The problem is that getting your first user or first $1 is not particularly easier with even the best LLMs to help you. Distribution is brutal — Google doesn’t want to index new sites, Twitter doesn’t want to distribute lowbie posts, right here HN’s /new queue is mercurial ..
What happened to HN's new queue? What changed? I only watch homepage so I wouldn't know.
Also, dang ought to make a new tab "Trends" (or just name that "AI") and move all AI/LLM/etc posts there. We might possibly see something other than AI then.
> So building is faster, but marketing—not so much
Producers are AI/agents now but consumers are still human beings. Maybe it will be different when it will be: by the AI, for the AI, of the AI… etc and humans will be safely out of the consumption loop.
I don't disagree but for some of the examples given (YouTube, Instagram, X.com) a huge entry barrier is the network effect. Even if AI could perfectly clone these products in a day, that still doesn't translate to instant market share.
Why hasn't someone upended LinkedIn? It is not because the product is incomplete. It is because LinkedIn is the incumbent with millions of users and an ecosystem and culture and gravity around it.
If the things created with AI lack originality, they are nothing more than clones, rather than prototypes. While I agree with the majority of the text, I really don't understand why the amateurish efforts of so many are taken so seriously, to the point where people actually obsess over them. The marketing of these outputs by individuals or organizations with no prior connection to the industry (especially on platforms like YouTube, Reddit, HackerNews, etc.) is driven solely by self-interest. These ideas only excite the laypeople and the naive. For a professional or anyone who actually knows how things work, these are—as the name implies—just tools for now, not the be-all and end-all.
But is the definition of the product really just something that has loads of users. If so than the best "product engineers" are just people with gigantic following since every url they share would get traction.
Imo a better distinguisher of demos and products is: "is your thing CAPABLE of solving a real problem" (even if it isn't doing so at a scale atm). Google+ was a product (not a super successfull one), eventhough it didn't have many users. Conversely, a viral interactive gimmick can attract millions of users in a day without really being a product at all.
Since everyone has access to the same tools, what exactly has changed about building a new business? Are people really expecting brand new companies to just displace the existing ones? What separates one company from another looks the same as always to me risk tolerance, etc. Now with the added benefit of a lot more competitors, plenty of who can't actually execute, all making noise in the market.
I think it ultimately just comes down to laziness. People are increasingly loathe to make multi-year plans and stick to them, for various reasons.
Building something like a YouTube competitor is theoretically doable by a small team. It’s vastly more possible with AI tools than it was a decade ago.
But the “muscle” of doing difficult things has atrophied for many people, in large part because the AI tools themselves reduce your ability to actually do the work. If day after day, you just prompt an AI to make things for you, do research for you, etc. then you gradually stop working that muscle yourself.
It makes me think that the ideal usage of AI tools might be a deliberately limited one: do everything on your own, but check in with the AI once a week for review.
The issue is most of these demo are created by developers. Most of the developers don't have interests or skills in product and design. So they use AI to write code, not build product.
Another mistake everyone making is not building better and bigger products. What is used to take a month to develop is now possible in few days but most don't put the same effort as before to make bigger and better products. They just do they same as what they used to do before but quickly. This is a mistake. AI uplifted everything so products built with AI should go to next level.
I'm an indie mac app developer. My first product took me 6 months to develop without much AI. I just released my second app ( https://www.vinaa.ai/ ) but took the same time to develop as I wanted it to be the best AI chat app. So I spent a month building my own markdown renderer in TextKit as existing library are not fast enough. I wouldn't done this if I don't use AI.
It’s a great question, but I don’t think the article answers it.
Not in any academic sense, but in a real-world sense a software product is something that as a user you can rely on to solve a problem. Rely is doing the heavy lifting in that sentence.
You can rely on a vendor’s product if (a) they’re going to be around for a long time, otherwise the investment into adopting it isn’t worth it; (b) the vendor is committed to solving your problem in an ongoing way - meaning they understand enough of the domain (ideally more than you do) that they’re going to be a partner even as your own needs evolve; (c) they deliver the product in a dependable way - high uptime and security.
So it comes down to “can you depend on this software over time?”
My office has cut down SaaS costs by a couple of tens of grand a year, simply by making our own versions using LLMs.
It is not that we didn't have the expertise to do so to begin with, but it would simply have been too expensive and time consuming. That was solved once the models became good enough.
There's a lot of money in the SaaS world, where the products are both unglamorous and one-trick pony-ish. Making your product LLM-proof can be challenging today, unless you happen to own a lot of data or lots of compute, and those two are the drivers behind your product.
In real terms a product is the delivery of a service or other item of value. Specifically within the realm of software it is the promise of the delivery of software that will do what it says it will do, and then maintain or fix it where it falls short.
E.g. it's now about the delivery of a service rather than the challenge of building it (e.g. the moat) and then the delivery of service of it afterwards. Non functional requirements like data management and security, legal requirements and hosting are still valuable things that aren't front of mind for most developers creating their own tooling.
This just reads like someone's cross at the AI hype and wanted to take a shot, but missed.
The underlying point --that network effects exist and determine the success of a product-- has always been the case, long before AI made it possible to vibe code a rough Instagram clone in a weekend.
Anyway, if you want a successful new product, the path to success (obviously) isn't likely to be copying an existing behemoth, but offering something new, unique and valuable. That's always been the (exceptionally difficult) challenge, and AI doesn't help with this. But I think we can be confident that in the future, as humans do create new, unique, and valuable products, some of them will probably be vibe coded.
>A real product has real users, a real market and solves real problems.
This misses the mark.
A product is something which can be exchanged with others, transferred into their agency, for them to own and use according to their free will.
They don't have to use it or indeed 'be a user' - it is up to them whether or not utility is derived. The only requirement is that it is exchangeable and that agency has been transferred in such a manner that all parties involved in the exchange are satisfied with the transfer of agency.
A project is some activity which has an expectation of changing state over time.
Project management means projecting the scope and sphere of that activity into the future, in order to change its state in such a way, hopefully, that something exchangeable is produced. Product management means, making sure a satisfactory exchange occurs between the creator of a product and its new owner.
So many people get this wrong.
It is not a product if it's a project. It is only a product once it has been exchanged with another entity for their purposes.
You can have many, many projects which will never become products, because they won't be exchanged with others. You can have products which are valued by their owner in ways unintended by their creators. The value and utility is arbitrary to whether or not something is a product - the only requirement for something to become a product is that it is exchanged.
Successful product(S) are exchanged at scale. A single product can be very successful if the scale of that exchange is high. A lot of products can be very successful if the number of exchanges is great.
Until the exchange occurs, it's not a product. It's a resource. Inventory.
Side projects become products only once they are exchanged.
There really are plenty of Google analogs. There are plenty of chatbot analogs. Any one of us can recreate Instagram or X. These competitive analogs simply have not become products, because they have not been exchanged. Products which harness human collectivity have the problem of not being exchanged at scale until the collective decides to participate in the exchange, i.e. recommend their friends sign up to join them.
The problem with easily started new side projects is that they are not so easily exchanged at sufficient scale.
Not sure I understand the need for the exchange at scale. If I build a tool that lets a single person automate a tedious calculation then as long as they can depend on me maintaining it then it’s a product as far as I’m concerned.
The problem is that getting your first user or first $1 is not particularly easier with even the best LLMs to help you. Distribution is brutal — Google doesn’t want to index new sites, Twitter doesn’t want to distribute lowbie posts, right here HN’s /new queue is mercurial ..
So building is faster, but marketing—not so much
What happened to HN's new queue? What changed? I only watch homepage so I wouldn't know.
Also, dang ought to make a new tab "Trends" (or just name that "AI") and move all AI/LLM/etc posts there. We might possibly see something other than AI then.
> So building is faster, but marketing—not so much
Producers are AI/agents now but consumers are still human beings. Maybe it will be different when it will be: by the AI, for the AI, of the AI… etc and humans will be safely out of the consumption loop.
I think there are people you can pay to ensure your post gets to the front page.
You are not indicating that's dang, are you? I'd never believe that :D
No of course not. Just residential proxy botnet groups.
I don't disagree but for some of the examples given (YouTube, Instagram, X.com) a huge entry barrier is the network effect. Even if AI could perfectly clone these products in a day, that still doesn't translate to instant market share.
And the resource you need to host so much data
> If nobody is using the thing you built, you don't have a product, you have a toy
Hard disagree. I think the articles goes in a good direction when it comes to the question but this ending is short of a satisfying answer
Why hasn't someone upended LinkedIn? It is not because the product is incomplete. It is because LinkedIn is the incumbent with millions of users and an ecosystem and culture and gravity around it.
If the things created with AI lack originality, they are nothing more than clones, rather than prototypes. While I agree with the majority of the text, I really don't understand why the amateurish efforts of so many are taken so seriously, to the point where people actually obsess over them. The marketing of these outputs by individuals or organizations with no prior connection to the industry (especially on platforms like YouTube, Reddit, HackerNews, etc.) is driven solely by self-interest. These ideas only excite the laypeople and the naive. For a professional or anyone who actually knows how things work, these are—as the name implies—just tools for now, not the be-all and end-all.
But is the definition of the product really just something that has loads of users. If so than the best "product engineers" are just people with gigantic following since every url they share would get traction.
Imo a better distinguisher of demos and products is: "is your thing CAPABLE of solving a real problem" (even if it isn't doing so at a scale atm). Google+ was a product (not a super successfull one), eventhough it didn't have many users. Conversely, a viral interactive gimmick can attract millions of users in a day without really being a product at all.
Since everyone has access to the same tools, what exactly has changed about building a new business? Are people really expecting brand new companies to just displace the existing ones? What separates one company from another looks the same as always to me risk tolerance, etc. Now with the added benefit of a lot more competitors, plenty of who can't actually execute, all making noise in the market.
A product is something you can pitch to an investor for money. All else is irrelevant.
Whilst I agree with the sentiment, there is some irony that the blog itself looks to be vibe-coded too.
I think it ultimately just comes down to laziness. People are increasingly loathe to make multi-year plans and stick to them, for various reasons.
Building something like a YouTube competitor is theoretically doable by a small team. It’s vastly more possible with AI tools than it was a decade ago.
But the “muscle” of doing difficult things has atrophied for many people, in large part because the AI tools themselves reduce your ability to actually do the work. If day after day, you just prompt an AI to make things for you, do research for you, etc. then you gradually stop working that muscle yourself.
It makes me think that the ideal usage of AI tools might be a deliberately limited one: do everything on your own, but check in with the AI once a week for review.
Does a product include the ability to acquire and retain customers?
A product is something consumable.
"A miserable little pile of secrets."
Productkind ill needs a savior such as you.
But enough slop have at you!
it pretty nice