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raihansaputra

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raihansaputra
·24 hari yang lalu·discuss
throwing in my 2 cents: It just replaced pandas for me. It's just so much easier to write sql against csv/json/whatever format data in jupyter/marimo notebooks through duckdb rather than reasoning through pandas. SQL is far more natural for me, and agents also work through it easily.
raihansaputra
·2 bulan yang lalu·discuss
So this is using deepseek-v4-pro / flash and using claude code as the harness right? That's really good that it works. I'm pretty impressed with how v4-pro is doing, sadly there's no subscription packages so I'm not using it too much. (Wafer used to offer it but now they don't).
raihansaputra
·2 bulan yang lalu·discuss
What was the media for updates? Send them a CD or a flashdisk and they plug it in? I assume the PVC backing etc they handle on their own?
raihansaputra
·3 bulan yang lalu·discuss
If you’re counting by the framebuffer than the only 2x is the hidpi-forced-into-lowdown like the link suggest. The ratios I’m referring to is the UI scaling against the physical display pixel dimensions.

Apple basically settles into 220 dpi physical displays (250 moc MacBook Pro), rendering UI at a 2x scale as a default, except for MacBook Airs.
raihansaputra
·3 bulan yang lalu·discuss
my experience with RustDesk + Tailscale is really good. when i only needed windows remote devices, the Windows Remote Desktop over Tailscale is great. I used RustDesk for access to macOS and Android devices (all over Tailscale) and works great too. No complaints really. Much less hassle to setup than Parsec (latency isn't as good though), and way snappier than AnyDesk through their network. Great tool enabled by Tailscale.
raihansaputra
·3 bulan yang lalu·discuss
i wish that's for their logging/alert. i definitely gauge model's performance by how much those words i type when i'm frustrated in driving claude code.
raihansaputra
·3 bulan yang lalu·discuss
It’s actually around 1.5x for the default resolution out of the box and 1.3x for “more space” setting on m1/m2 MacBook Air. 1.1x supersampling on Macs makes it worse because down sampling to pixel alignment becomes a hot mess.
raihansaputra
·4 bulan yang lalu·discuss
goal? yeah. but in reality just timing it right (starting a session at 7-8am, to get 2 sessions in a workday, or even 3 if you can schedule something at 5am), i rarely hit limits.

if i hit the limit usually i'm not using it well and hunting around. if i'm using it right i'm basically gassed out trying to hit the limit to the max.
raihansaputra
·4 bulan yang lalu·discuss
ok it's a bit late but i think a big part is the non-verbal thing you're putting out.

my story is me and my wife moved to another country a few years ago for my study. after 4 months moving there, she already know and conversed with the people working the apartment and some neighbors. while i mostly just exchanged cursories and nods and glances. then one day we just walked out together and the same people i passed earlier just says hello and converse and stuff with my wife and me. yes she's very much an extrovert but i can see people are way 'more open' and my wife has that too. me on the other hand do have 'i don't want to bother you so please don't bother me' vibe.
raihansaputra
·5 bulan yang lalu·discuss
man this is cool. this is what i want since i read about fly.io's sprites.

slightly related to this, and i'm not familiar with linux sandboxing/containerization in depth, but any similar turn key solution for linux desktop/server? ideally i have something like sprites/shuru but on my own linux/ubuntu server instead of in the cloud.
raihansaputra
·5 bulan yang lalu·discuss
i agree that is annoying but seems like anthropic's stance is that the task/agent should be provided an environment to write the file in the output you provide or provided a skill.md description on how to do that specific task.

personally it's a blurry line. most times i'm interacting with an agent where outputting to a file makes sense but it makes it less reliable when treating the model call as a deterministic function call.
raihansaputra
·8 bulan yang lalu·discuss
huh i never noticed it. interesting to see, especially because everytime esp32 is brought up the opinion is that they're not fir for production scale units/quantities.

so it's the one managing the ubiquiti specific features, and controlling the switch chip?
raihansaputra
·8 bulan yang lalu·discuss
actually the web search/image needs the higher tier subscription with their mcp. k gladly paid for it, i basically don't care about usage anymore. it's great at execution. i still find it not so great at planning though. i wish i can use api sonnet/codex for planning and glm on claude code for executing easily, with codex/claude code. best thing right now is kilo code with the orchestrator but haven't tried it.
raihansaputra
·9 bulan yang lalu·discuss
yeah CS skins is one of the biggest markets of digital-only-aesthetic-items before NFT came around (and now probably still bigger than NFTs). The main thing with NFTs was that there's no "central database", CS skins solely lives in Valve's database.

making a butterfly knife for Valve isn't hard (in the past Steam Customer Service duplicated items lost in scams). It's hard for the players because they have to "gamble" for it through paying keys to open cases.
raihansaputra
·tahun lalu·discuss
Expo is a framework for React Native based mobile app development. Honestly it's more integrated than Next.js on React. Expo offers a lot of plugins and components to speed up and streamline the development. You can develop using the Expo Application Services, which is Expo's cloud service which offers automatic builds for both Android and iOS. It's a good offer as setting these up locally is finicky (node <-> react native <-> expo <-> ios/android deps (pods/maven) <-> xcode / jdk versions must be compatible). Having a local option like this image is great for cost and iteration speed.
raihansaputra
·5 tahun yang lalu·discuss
Honestly, `npm install` should come with a big honking warning that the lockfiles will change. Or change the behaviour. This would negate this attack on 90% of the cases.
raihansaputra
·5 tahun yang lalu·discuss
Another anecdata: My old 2015 8GB MBP also has the same problem; unbearably slow now. The M1 MBA (also 8gb) doesn't have this problem.
raihansaputra
·5 tahun yang lalu·discuss
Unsure whether it's Safari related, but it was solved on a regular macOS update. I didn't recall any specific Safari update, but I might miss it.
raihansaputra
·6 tahun yang lalu·discuss
Yeah, I'm interested about offline support. I might have to check out the HEY trial on web and on mobile.

I think this HTML SSR approach have different tradeoffs and uses compared to Single Page Applications.

The HTML SSR works best with a stable connection and being close to the server for good enough latency. Higher cost on the backend is a tradeoff on how much computation/complexity you want to offload to the client, and also what language/framework you want to work with more.

Some HN comments from previous related topics suggest these approaches (Hotwire / LiveView / Blazor? / StimulusReflex / Intercooler / HTMX / Unpoly) fare better with apps targeting a specific region so roundtrip latency is lower. One can optimize the reads with DB replicas + app servers closer to any user, but the write DB is the bottleneck (I think). This also ties in with the feedback that US/EU HEY/BC users perceive the app as snappy enough while AU users feel the latency a lot more.

SPA (properly built) should be more resilient in regards to network stability/condition/latency and expose a lot more offline capability.

I feel like the ideal app is HTML SSR + an app shell to serve some offline capabilities. Scaling the write DB globally is a hard problem though.
raihansaputra
·6 tahun yang lalu·discuss
I definitely feel like that's the case. I'm still on an 8GB 2015 MBP and it still works pretty well for multiple windows of Chrome + VSCode + node servers + spotify etc even at 1-4GB swap. The only thing that really bothers me is 4k performance and not being able to run multiple Docker containers (especially ones that needs a lot of RAM).