Live data from Hacker News

AI App Graveyard

dang.ai

21–30 of 82 posts

Re: AI App Graveyard

#22
post #8

This is sad. As technologists we should celebrate folks who tried to build new services and applications. It would be good to document these and explain why they didn't work.

Agree to disagree? This is a satire of how our current incentive system disproportionately allocates resources in a fad fashion, not unlike how the waves sloshed around the fish tank you tried to deliver to your girlfriend, only to discover 2/3s of the water was spilled all over the back seat and the fish with PTSD are now staring askance at you. If this were a post titled "Open Source Operating Systems Graveyard" or…

>not unlike how the waves sloshed around the fish tank you tried to deliver to your girlfriend, only to discover 2/3s of the water was spilled all over the back seat and the fish with PTSD are now staring askance at you

Oddly specific ...

Re: AI App Graveyard

#26
post #11

There are a ton of companies that are basically a wrapper around GPT-4 with some minimal amount of application code. These folks can create impressive demos that wow minimally informed investors, but the reality is that if it took a few weeks to make there's no defensibility. I see the profits in the current AI hype cycle going to the leading foundational model company (why pay for the 2nd best?) and the companies th…

That’s a compelling story. But that doesn’t make it accurate. We are early on and it’s hard to determine how large or small the ecosystem and value that will be created on top. Some went big, like personal computers, the internet, databases, Java, electricity, and so on. Others did not (yet), web3 (maybe), other databases, low code platform, website builders, workstations, many old personal computing systems, etc.

Yes, it’s easier for incumbents to capture value because they own customer relationships. However, if that was always the case open ai wouldn’t exist. So some do breakthrough.

Early on could people see the future and know what Ms dos, Oracle, or google would become? No because it’s new and it’s the future. It’s only obvious in hindsight. Yes, all of these ai companies on top of chatgpt could become nothing. On the flip side the complexity and depth of chat gpt and other models will continue to expand, creating more possibilities for potential value creation. Or the whole thing can turn into an overvalued version of Clippy. It’s hard to see how it will play out.

Re: AI App Graveyard

#27
post #11

There are a ton of companies that are basically a wrapper around GPT-4 with some minimal amount of application code. These folks can create impressive demos that wow minimally informed investors, but the reality is that if it took a few weeks to make there's no defensibility. I see the profits in the current AI hype cycle going to the leading foundational model company (why pay for the 2nd best?) and the companies th…

Many mobile and web apps are database wrappers too.

Replicability isn’t the only part of value.

Solving a valuable problem is. What about the tools quietly moving mountains and not seeking the spotlight?

Most customers of software are not in the software development space.

Re: AI App Graveyard

#28
post #11

There are a ton of companies that are basically a wrapper around GPT-4 with some minimal amount of application code. These folks can create impressive demos that wow minimally informed investors, but the reality is that if it took a few weeks to make there's no defensibility. I see the profits in the current AI hype cycle going to the leading foundational model company (why pay for the 2nd best?) and the companies th…

That’s a compelling story. But that doesn’t make it accurate. We are early on and it’s hard to determine how large or small the ecosystem and value that will be created on top. Some went big, like personal computers, the internet, databases, Java, electricity, and so on. Others did not (yet), web3 (maybe), other databases, low code platform, website builders, workstations, many old personal computing systems, etc. Ye…

I used to think I wouldn’t rationalize a losing position while I was invested, but after a hedge fund I was in divested from a large position, I was able to see the other way so clearly

Re: AI App Graveyard

#29
post #27
post #11

There are a ton of companies that are basically a wrapper around GPT-4 with some minimal amount of application code. These folks can create impressive demos that wow minimally informed investors, but the reality is that if it took a few weeks to make there's no defensibility. I see the profits in the current AI hype cycle going to the leading foundational model company (why pay for the 2nd best?) and the companies th…

Many mobile and web apps are database wrappers too. Replicability isn’t the only part of value. Solving a valuable problem is. What about the tools quietly moving mountains and not seeking the spotlight? Most customers of software are not in the software development space.

I think that those tools not seeking the spotlight might also be at risk. I'm fairly sure some of these tools have a 'twin' that has found success by securing early adopters and has become the de-facto tool for 'X' job, largely due to marketing.

Re: AI App Graveyard

#30
post #11

There are a ton of companies that are basically a wrapper around GPT-4 with some minimal amount of application code. These folks can create impressive demos that wow minimally informed investors, but the reality is that if it took a few weeks to make there's no defensibility. I see the profits in the current AI hype cycle going to the leading foundational model company (why pay for the 2nd best?) and the companies th…

That’s a compelling story. But that doesn’t make it accurate. We are early on and it’s hard to determine how large or small the ecosystem and value that will be created on top. Some went big, like personal computers, the internet, databases, Java, electricity, and so on. Others did not (yet), web3 (maybe), other databases, low code platform, website builders, workstations, many old personal computing systems, etc. Ye…

Good points. Premature optimization and over engineering when one hasn’t been part of either not having any esoteric or unfair knowledge is like shooting in the dark.

YC’s premise to start small, serve the problems and solving them and they will light a path has merit to it especially since they took on a B2B focus.

Post reply on HN