I even pursued my PhD on it until I quit (unrelated reasons). There was a startup doing this with ML but forgot their name.
4,390 karma · joined November 6, 2013
I even pursued my PhD on it until I quit (unrelated reasons). There was a startup doing this with ML but forgot their name.
Not all of us get a chance to work with a great candidate pool. So, whenever someone fails to provide a solution given an integer list, find the pairs that sum is equal to N, I don't care how many technologies they have worked with or how well they can talk about it, I don't feel comfortable working with them.
The main reason is their platform is hosted on Hetzner dedicated instances.
We also tried serverless Redis. We have a tiny machine at %10 CPU utilization, but sustained queries. It costs 20x more. We were very afraid of the result we just ran it for an hour to get an idea.
Serverless, pay per use sounds only good if you have very few or unusual traffic.
We just run a monolithic but stateless Spring Boot Application and a dedicated RDS instance with reader in stand by. Only serverless dependency is SQS because it works nice enough. This simple infra has allowed us to iterate and pivot our startup very fast as needed. We still need more customers though.
I parsed the EV chargers APIs where I live (using Frida in Android) and one of the fields returned the daily revenue and profit.
To be fair, it's not exactly the same as Plex. But it covers many of my use cases;
- Organizes your media on the fly
- Does not do useless transcoding (it was a huge issue back in ~ 2016 for Plex).
- Can directly connect to SMB shares, my Synology NAS.
- Does not require anything running on the server, so it does not matter your NAS has a decade old MIPS CPU.
- List files from multiple cloud providers.
- Can also sync with Trakt if you want to keep track of what you watch.
Then I realized, the reason they try to hide is maybe those APIs are abomination /s
Man, I miss my Arch Linux sometimes.
To be fair, we wanted to get experience on ClickHouse and it's a special database need special attention to details on both ops and schema design.