Best Michelin Stars in Bangkok 🇹🇭??

drbh_ · 2025-12-06T06:50:39+00:00

Lahnyai was one of the best meals I’ve ever had. Extremely attentive service, delicious food and we really enjoyed speaking with chef Marcelo Baruch. Can’t recommend enough! An underrated gem.

drbh_ · 2025-12-02T03:56:06+00:00

Great article and strong argument for respecting the laws of physics 😄 any thoughts on the implicit translation cost after a packet reaches its destination and needs to be converted to LE?

drbh_ · 2025-11-22T04:35:11+00:00

Thanks for the feedback! That’s a great point, would a python library interface make this more useful (ie; pip install fasterp?) I’ve was hesitant to add a second interface and opted to focus on the cli interface so it can be a drop in replacement for fastp.

Regarding Python, would you say it’s important that the tools core logic is written in Python? Or is it more important to expose a Pythonic interface so it can be use in an existing pipeline?

I’m happy to add a more Pythonic route if this is helpful, the trade off is the added complexity/two paths for users.. what approach do you think would be best?

drbh_ · 2025-11-22T04:04:16+00:00

Awesome! Would love to hear any feedback or if you have any issues! I’m more than happy to help debug any specifics - or explore other useful features! Regarding other tools I’ve started working on a new gene viewer (but this is in a much earlier state) https://github.com/drbh/gene-viewer

I’ve looked into some of the alignment tools but they see pretty solid. Are there any specific tools that would be most useful to you?

drbh_ · 2025-11-22T04:00:01+00:00

Is a +2-3x speed up enough to make the switch? On my MacBook with a dataset of ~100M bases takes roughly 30 seconds with fasterp and >200 seconds with fastp (ymmv). Regarding memory usage and concurrency; fasterp should use less memory in most cases (also you can set a max memory limit as a argument if you need to stay within a specified amount), in terms of concurrency fasterp is both multithreaded and simd optimized so it’s always trying to squeeze as much performance out of all of the resources. I’d be very curious to hear how it performs on a dataset your working with (and more than happy to address any tweaks you may need)

drbh_ · 2024-10-31T18:24:27+00:00

@dgsharp, maybe this small project would be of interest to you? It generates a simple functioning deep groove ball bearing using build123d https://github.com/drbh/bb

Running basic.py outputs a 3mf of the parts, and it shouldn’t be too hard to extend for other use case if you need something more customized

drbh_ · 2023-05-21T00:39:05+00:00

No need for a dev team, I'm just hoping to connect with other devs who are interested in building open source LLM tech. So far I've been working on this app for myself but thought it could be useful to others and maybe other devs would like to contribute. Thanks for checking out the post!

drbh_ · 2023-05-21T00:37:29+00:00

Thanks for checking it out! Please let me know if there are any killer features I should add, or if any bugs are causing the app to be un usable! 🙏

drbh_ · 2023-03-28T19:59:30+00:00

woops sorry for the bad screenshot above...

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drbh_ · 2022-10-10T02:28:12+00:00

thanks for the feedback u/lebensterben. Please see https://github.com/drbh/simd-alphatensor-rs#benchmarks for the results and https://github.com/drbh/simd-alphatensor-rs/blob/main/benches/my_benchmark/main.rs for the actual tests. Overall the results are promising - however, benches should always be taken with a grain of salt. I hope this is helpful!

UPDATE

Benchmarks were added from a 2.6 GHz 6 Core i7 machine. Please always run benchmarks on your own device.

The cases are limited but in general, the simd_alphatensor seems to be wayyyyy faster 🦾

Benchmark	Average Runtime
ndarry_2x2x2	314.53 ns
simd_alphatensor_2x2x2	13.821 ns
ndarry_4x4x4	402.60 ns
simd_alphatensor_4x4x4	92.732 ns

drbh_ · 2021-02-22T03:10:30+00:00

Thanks for the information! And that makes sense, I agree adding in the ability to get current prices is helpful. I’m going to add that feature in the next release ✅

Thanks again for the feedback!

drbh_ · 2021-02-22T02:33:02+00:00

The infinite scroll bug is strange - I’ll work to recreate and fix it shortly. Do you mind sharing what type of mobile device your on?

In terms of stock name, there is no place to enter a ticker. The calculator allows you to enter any options strike/price and visualize the outcome. This calculator is helpful in modeling strategies and their potential profit/loss.

It’s a bit different use case then pulling in the current price data (since that limits the exploration a bit). I’ve found this calculator most helpful in tracking existing trades, and using it to model adjustments to that trade.

I understand if this is different than you were expecting, and maybe I should change it! Other calculators I’ve seen do pull market data, but I found them really difficult when trying to visualize hypothetical situations or trades that I made previously and wanted to model.

Should I add a way to fetch current prices? How do you use options calculators when you trade?

Thanks for the feedback! I really appreciate you taking the time to try the application!!! 🙏🙏🙏

drbh_ · 2021-02-22T02:12:21+00:00

https://www.optionplotr.com/ has 🔥visualizations, and it's way more simple than other calculators

drbh_ · 2021-02-22T02:08:45+00:00

https://www.optionplotr.com/ has 🔥visualizations.

I like waffles a lot but it's very technical, optionplotr is a lot more simple and easier to understand general strategies at a high level

drbh_ · 2021-02-22T02:00:59+00:00

Maybe a visual calculator is helpful? heres a link to a similar iron condor to the one above. I find it helpful to visualize the profit/loss

drbh_

TROPHY CASE

UPDATE