use case is for backing up my camera sd card to my drive
potentially related to the above, but
a simple compression algorithm that can take a list of file names and compress them to a smaller set using RLE type techniques
would be used to populate a metadata file for the syncing logic above
SF Street cleaning notifications (Note: I actually made the generalized version of this one! sf-street-cleaning)
an app that can directly auth with my Tesla, get the location, and display the street cleaning schedule for that street
more generally, some tool where people can input some address type information and then set up street cleaning notifications
As a method to learn better JS and track my gym goals, a static site that makes it easy to track things:
It’ll use local storage to handle data
It should allow for quick export to move to other devices
Probably needs to have a really clean and streamlined UI
Maybe it can make use of the calendar reminder system?
An addition to this blog and a concept for getting better at engineering (Note: check the Daily Learning folder in this blog to find my implementation!):
Basically one of the subdirectories in this blog could be dedicated to general coding interview type questions (design, leetcode, etc.)
The main goal of this is to have something every day to look at and answer. It’ll help me keep a log and get better at things over time.
The questions will be generated via ArliAI, and maybe I can add the content into the site vault repo via a github action?
I’ll need to use some python markdown editing tool so I can find the stuff that’s already been asked to ensure I don’t get the same questions
Finding a sublease was so friggin hard.
The problem’s that there’s a bunch of bots on fb marketplace and craigslist. They ask you to send money up front claiming that they’re not going to be in town, but you need to put in a deposit because there’s a lot of traction on the apartment.
So, need a way to kinda filter those things out.
Maybe some form of fuzz testing could be cool? Like tests that will periodically act like an interested individual, and then vet out the responses made by the poster.
Or maybe a first step is a “scam identifier.” Entails figuring out how to detect scams vs normal people.
something to do with openAI’s swarm library + ollama to run models locally. There’s probably infinite ideas of useful tools to make with this combination.
an eink keychain that can display your authenticator codes instead of you needing to pull out your phone to see them each time