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I run multiple $10K MRR companies on a $20/month tech stack

stevehanov.ca

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Re: I run multiple $10K MRR companies on a $20/month tech stack

#111
post #97
post #88

Earlier quoted context omitted.

There’s a happy medium and $5 for 1GB RAM just isn’t it.

Not a very strong argument now is it?

if the project already has positive revenue then arguably the ability to capture new users is worth a lot, which requires acceptable performance even when a big traffic surge is happening (like a HN hug of attention)

if the scalability is in the number of "zero cost" projects to start, then 5 vs 15 is a 3x factor.

Re: I run multiple $10K MRR companies on a $20/month tech stack

#112
post #47

There are zero reasons to limit yourself to 1GB of RAM. By paying $20 instead of $5 you can get at least 8gb of RAM. You can use it for caches or a database that supports concurrent writes. The $15 difference won’t make any financial difference if you are trying to run a small business. Thinking about on how to fit everything on a $5 VPS does not help your business.

I think we have to re-think and re-evaluate RAM usage on modern systems that use swapping with CPU-assisted page compression and fast, modern NVMe drives.

The Macbook Neo with 8GB RAM is a showcase of how people underistimated its capabilities due to low amount of RAM before launch, yet after release all the reviewers point to a larger set of capabilities without any issues that people didn't predict pre-launch.

Re: I run multiple $10K MRR companies on a $20/month tech stack

#113
post #79

If this sounds like basic advice, consider there are a lot of people out there that believe they have to start with serverless, kubernetes, fleets of servers, planet-scale databases, multi-zone high-availability setups, and many other "best practices". Saying "you can just run things on a cheap VPS" sounds amateurish: people are immediately out with "Yeah but scaling", "Yeah but high availability", "Yeah but backups"…

Apparently the phrase cargo cult software engineering is not common anymore. Explains these things perfectly.

Re: I run multiple $10K MRR companies on a $20/month tech stack

#115
post #55

Earlier quoted context omitted.

Obviously they are lacking the sigma hustle grindset. Its like not having syphilis or cancer, its a good thing.

Says the guy with almost 5k HN comments in less than 5 years

I try to limit it to just 1-2 comments after my 4am ice facial and then no more than 4 comments while I am having my 3pm youth blood infusion.

Consistency is key for the grindset.

Re: I run multiple $10K MRR companies on a $20/month tech stack

#117
post #67
post #44

Can anybody validate this Github Copilot trick for accessign Opus 4.6? Sounds too good to be true.

It is true, it's the official pricing of GitHub Copilot.

Why is GitHub sticking to per-request pricing when other providers switched to per-token for the high performing models?

Re: I run multiple $10K MRR companies on a $20/month tech stack

#118
post #73

> The enterprise mindset dictates that you need an out-of-process database server. But the truth is, a local SQLite file communicating over the C-interface or memory is orders of magnitude faster than making a TCP network hop to a remote Postgres server. I don't want to diss SQLite because it is awesome and more than adequate for many/most web apps but you can connect to Postgres (or any DB really) on localhost over…

Looks like the overhead is not insignificant: Running 100,000 `SELECT 1` queries: PostgreSQL (localhost): 2.77 seconds SQLite (in-memory): 0.07 seconds ( https://gist.github.com/leifkb/1ad16a741fd061216f074aedf1eca... )

Why are you comparing PostgreSQL to an in-memory SQLite instead of a file-based one? Wow, memory is faster than disk, who would have thought?

Re: I run multiple $10K MRR companies on a $20/month tech stack

#119
post #73

Earlier quoted context omitted.

Looks like the overhead is not insignificant: Running 100,000 `SELECT 1` queries: PostgreSQL (localhost): 2.77 seconds SQLite (in-memory): 0.07 seconds ( https://gist.github.com/leifkb/1ad16a741fd061216f074aedf1eca... )

Why are you comparing PostgreSQL to an in-memory SQLite instead of a file-based one? Wow, memory is faster than disk, who would have thought?

Because it doesn't make a difference, because `SELECT 1` doesn't need to touch the database:

    Running 100,000 `SELECT 1` queries:
    PostgreSQL (localhost): 2.71 seconds
    SQLite (in-memory): 0.07 seconds
    SQLite (tempfile): 0.07 seconds
(https://gist.github.com/leifkb/d8778422d450d9a3f103ed43258cc...)
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