There was an article in Forbes [1] that shared that it's not about jobs going away, but the steady creep of tasks being taken away from people and given to AI and automation. The point made is that AI is hollowing out jobs, leading to earlier (and often forced) retirement, the destruction of entry-level jobs, and the steady creep of winnowing out workers making things leaner.
You can disable all cloud models in your Ollama settings if you just want all local. For cloud you don't have to use the cloud models unless you explicitly request.
Why are you looking to move off Ollama? Just curious because I'm using Ollama and the cloud models (Kimi 2.5 and Minimax 2.7) which I'm having lots of good success with.
You can also run these models on the cloud with Ollama. You might say what's the difference, but these are models whose performance will stay consistent over time, whether run locally or in the cloud. For $200 a year I'm getting some pretty fantastic results running GLM 5.1 and even Minimax 2.7 and Kimi 2.5 and Gemma 4 on Ollama's cloud instances. And if you don't like Ollama's cloud instance, you can run it on your own cloud instance from the very same providers that Ollama is using. They use NVIDIA cloud providers (NCPs) although not sure which ones specifically and claims that the "cloud does not retain your data to ensure privacy and security." [https://ollama.com/blog/cloud-models]
Yeah and a lot of these are small only temporarily. Many of these startups are following the grow-at-all-costs VC philosophy that doesn't optimize for small team size. So I'm trying to find those alternate stories. Much harder to find, so when I see the post like this of OP's, I get excited. Hard to find stories of teams that are small by intent, but looking to scale big.
I'm looking for companies that are small by intent, but also looking to scale sustainably and grow beyond the capabilities of a single person. There are a lot of small businesses / solopreneurs / freelancers who work enough to get by or do a few hundred $K as a salary replacement, but aren't looking to build anything bigger. A lot of those companies also go by the wayside when the founder retires, gets hired, or something happens. And there's already a lot of content and sources for those types of solopreneur / single founder freelancers / side hustle type businesses.
I'm looking for the other stories of small teams scaling big. I'm basically separating side-hustles and solopreneurs as freelancers from a more sustainable business. Revenue is a cutoff as a way to differentiate, but doesn't have to be the only one.
For sure however, a team of 5 doing $20M implies something significant is happening at scale versus a solopreneur making what would otherwise be salary-replacement level money. Nothing wrong with that, of course, I love solopreneurship. Just trying to find those other stories, which are much harder to find.
YES! I want to find more stories like this. Where can I find Bootstrappers or seedstrappers who have successfully scaled their companies past a few million in revenue with very small teams?
OP lies about going to Harvard. He thinks he can put it on his linkedin just because he did an 8 hour online course from HarvardX on basics of leadership.
So assuming OP didn't lie about his experiences in start-ups (he 100% did lie), his diagnosis of the issues make no sense.
Unindexed db is just pure incompetence so if this is your problem then you have many more things to worry about, like learning the basics of programming.
Automatic testing is not required in start-ups and often comes at much later stages.
Auth vulnerabilities by themselves would never fail a start-up. Only data leakages caused by them would. So it's a very weird point.
There is rarely such a thing as bad code, all the code written by other people is bad while all the code written by me is either perfect or I have an excuse. It's always like that. Saying you should "improve" your code so that the devs spend less time wrestling with it is an insane statement, beyond basic quality controls. Bad code is almost always code that does something in a way that unexpected new reqs were not accounted for. And you can't expect the unexpected.
Autoscaling servers is hard. It's always better to just get what you need and then some. Within reason of course. And then leave the actual deployment optimization to dev ops engineers that you can hire later.
The post is really nonsensical. If there is one thing you should learn, it's to recognize obvious slop and outright lies.
EDIT: Also OP most likely bought upvotes. Weekend numbers like this make no sense. Especially on such a low quality post. And his linkedin is a trove of obvious lies and misrepresentations, even sneakily claiming he founded a company with 80k customers, while in reality he worked for an already established company with 80k customers as a low level employee, and then wording his claim in such a way where he has plausible deniability.
Before I first used the Web in 1991, I was on Usenet and of course Telnet and email-based systems, and Gopher also emerged around the same time. So the web didn't come out of nowhere, but the IP behind what we're still using, HTML and HTTP, freed from CERN's IP clutches is a good thing. Interesting that it was freed in 1993, once the momentum of the Web was becoming clear.
Might something else have emerged instead if CERN had said no? Who knows. Without the Web, the Internet itself might have stayed in its primarily research and academic domain. The rapid growth of the Web is in part what motivated the commercialization of the Internet and the "Information Superhighway", and then came the entrepeneurs and VCs, and well, here we are.
Could it have all happened based on Gopher instead? Who knows.
What is your approach to keeping these cameras off the Internet, but still on your local network to ensure they're not backchanneling with your awareness?
This is cool. I wonder, as you were iterating on the design and development, why didn't you start with a very small grid (10x10) to validate or test different options for their practicality and operation before scaling up to the 1000 pixel versions? It might have saved a lot of time and money, but maybe small scale tests aren't sufficient to work out the kinks?
I am of the firm belief the solopreneurship is the future, especially with the power of AI. I don't believe corporations of any type, from startup to tech giant have the interests of anyone but the majority shareholders in mind. Employees, customers, partners, all get the shaft. When money is involved, startups aren't product companies, they're financial instruments.