Time to create an awesome list of graveyards.
AI App Graveyard
71–80 of 82 posts
Re: AI App Graveyard
#72Earlier quoted context omitted.
Man, cloudflare is like a few minutes. Maybe their domain registrar features need to be better known.
Ironically, I think their domain registrar features are too well known — I've moved all of my domains off of cloudflare after reading a thread on HN. The one where a person had their account blocked without explanation, and CF refused to transfer, effectively stealing a domain name from a paying customer (which must be a great business model).
Good to know. My thought was more cloudflare or similar built in from the start.
Re: AI App Graveyard
#73Re: AI App Graveyard
#74It seems someone just automatically scraped all chatgpt-related apps. For example GPT4All is also there, which is very much alive and kicking: https://github.com/nomic-ai/gpt4all.
Re: AI App Graveyard
#75Luckily, my MeatGPT is immune to this.
Re: AI App Graveyard
#76There 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.
yes the HN bubble is real. A no-coder developing a successful GPT wrapper won't care about moat
Re: AI App Graveyard
#77Earlier quoted context omitted.
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.
What risk? Most of those tools are created by inexperienced people that will only notice how bad it was in the future (and they will fail to achieve the same success with much better products later)
Re: AI App Graveyard
#78This 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.
Theres this weird bitter smugness around a segment of the AI periphery, "haha your job's obsolete because of this prompt/tool" "haha your chat to PDF tool is obsolete because OpenAI launched X,Y and Z".
It's pretty unpleasant and has the same vibes as the "Enjoy staying poor" crypto crowd. Might even be the same bunch of people.
Re: AI App Graveyard
#79Earlier quoted context omitted.
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…
There is value created, but the argument was that it is the big ones with existing customer relationships that are going to benefit, not the 100th startup that offers an AI assistant to schedule appointments via voice commands. I think all of that second group of thin GPT wrappers will be eaten by the entities developing and running the foundational models like OpenAI. In general, AI is data hungry and college kids i…
> In general, AI is data hungry and college kids in their dorm room will always be at a disadvantage in that regard compared to large companies (many of which locked down scraping on their properties, even if "their" content is mainly generated by users, i.e. non-employees).
It's a two-way street too. The big players have more data to start with and they're already the "place" that you go to add more data.
Google's ML/AI stuff (the behind the scenes stuff, not the consumer facing chatbot type stuff) in gmail/calendar/etc is already useful because of their vertical integration. They "see" everything and can add new records in any part of their productivity suite, then make correlations / recommendations across the entirety of their offerings in a way that ChatGPT wrappers outside of their walled garden will never be able to replicate.
Now with OpenAI, MS has the same opportunity. Issues on github? Code? Emails? Teams conversations? Calendar appointments? Bing search history? It's all just part of the same bundle to them and it's all read/write.
Re: AI App Graveyard
#80This 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.
Theres this weird bitter smugness around a segment of the AI periphery, "haha your job's obsolete because of this prompt/tool" "haha your chat to PDF tool is obsolete because OpenAI launched X,Y and Z". It's pretty unpleasant and has the same vibes as the "Enjoy staying poor" crypto crowd. Might even be the same bunch of people.
> Might even be the same bunch of people.
it is the same people. these people, here. you're talking to them.
literally the kinds of people who post on, and regularly read, HackerNews.