dietsche

4 か月前議論

looks like AI to me. It’s always making rookie mistakes that look plausible!

5 か月前議論

but can you have an id for every id?

10 か月前議論

Location: River Falls, Wisconsin (near Twin Cities, MN)

Remote: Remote (Preferred), Hybrid

Willing to relocate: No

Technologies: Expert level C# skills, Golang (want to get into it more!), SQL Server, PostgreSQL, Docker/Podman, Cosmos DB, AWS, Azure, Cloudflare, .NET Maui / Blazor, Bootstrap CSS, Vim, Linux, Windows, Entity Framework, Kubernetes, Terraform

Email: [email protected]

Linked In: https://www.linkedin.com/in/k9cts/

Github: https://github.com/farmergreg/

Résumé/CV: https://www.gregd.org/resume/hacker-news/

I LOVE: Creating well designed, maintainable, high performance systems.

Example Code: https://github.com/farmergreg/adif processing Ham Radio log files at more than 2x the speed of other comparable parsers.

dietsche

11 か月前議論

Location: Twin Cities, Minnesota Area

  Remote: yes

  Willing to relocate: no

  Technologies: c#, go

  Link: https://github.com/hamradiolog-net/adif

  Email: please look for it in the git commits

I enjoy creating high performance, well designed, highly maintainable software.

Principal software engineer with 20 years of c# / .net experience. I am looking to pivot to golang, but would also entertain c# related positions. My resume is available upon request. The link is to recent software I’ve written that demonstrates my abilities.

dietsche

昨年議論

I think the authors of htmx have the same questions :)

dietsche

昨年議論

I've been slowly building https://www.hamradiolog.net/

As part of that, I made an ADIF (ham radio logs) parser to learn go. It's more than 2x faster than parsing the same data in json format with the go standard library.

https://github.com/hamradiolog-net/adif

dietsche

昨年議論

really cool. On mobile devices, I would suggest inverting his movement So that he matches the way someone scrolls with their finger.

dietsche

昨年議論

on my iphone it briefly displays “you” when i say racist in the imessage app. i’m curious what happens for other people…

dietsche

昨年議論

I would tend to agree, and yet there is something intellectually challenging about learning something new! I've been on the c# bandwagon since 2004; assembly and C before that. Go brings back some of that low(er) level feeling :)

I could tell you some horror stories about how my current employer does C#. It is very strange.... can't use var, nuget packages for _every_ class library... and it gets stranger from there on out... unfun!

dietsche

昨年議論

https://github.com/hamradiolog-net/adif

i’m learning golang and made this library that parses ham radio ADIF logs. my goal was to match the speed of the golang json parser. i managed to surpass it by about 2x!

i’m currently employed writing c#, but looking for a job elsewhere and golang seemed like a good way to level up :)

dietsche

昨年議論

you can get it down to nearly zero using OpenWRT and configuring SQM. Use https://www.waveform.com/tools/bufferbloat to measure and tune until you get an A+ result.

dietsche

2 年前議論

op here. you nailed it on the head. also, the car started breaking before i could!

incidentally, i’ve also had the tesla dodge a deer successfully!

autopilot has improved in BIG ways over the past 2 years. went 700 miles in one day on autopilot thru the mountains. no issues at all.

that said expecting perfection from a machine or a human is a fools errand.

dietsche

2 年前議論

I would like more details. There are definitely situations where neither a car nor a human could respond quickly enough to a situation on the road.

for example, I recently hit a deer. The dashcam shows that I had less than 100 feet from when the deer became visible due to terrain to impact while driving at 60 mph. Keeping in mind that stopping a car in 100 feet at 60 mph is impossible. Most vehicles need more than triple that without accounting for human reaction time.

dietsche

3 年前議論

minneapolis, mn to kitty hawk, nc

dietsche

3 年前議論

we took a road trip last summer about 4000 miles in our model Y Long range. You end up supercharging approximately every three hours for about 15 minutes. it actually worked out very well because our first stop of the day was almost always lunch. we picked hotels that had chargers on site so we started each day with enough charge to make the next supercharger.

dietsche

3 年前議論

i saw that yesterday!

dietsche

3 年前議論

This argument is non sequitor. If wealth inequality was the problem, couples would be forced by economics to work together to bring in more together than they could separately and to share resources like housing to reduce costs.

dietsche

3 年前議論

The 3 is basically the same except you have real F keys and can upload settings to it via USB. Both are great keyboards. I’ve used them for well over a decade.

dietsche

3 年前議論

I had a similar thought before we purchased our Tesla. Our actual experience has been much better than expected. Here's why:

1) Everyday Driving / Commuting: Much like an ICE vehicle where one thinks about 1/2 tank, 1/4 tank, etc... we think about percentages. For us, a round-trip to the in-laws is 50% in the summer and 60% in the winter, for example. Commuting round trip is ~15% in the winter, and ~12% in the summer. This combined with the fact that the car starts every morning charged to 80% means that we really don't ever worry about super charging in our day-to-day life.

2) Road Trips: The navigation software on the tesla automatically add charging stops where needed, and critically, it is very accurate when predicting range as a percentage when it knows your destination. We typically charge until it say we'll reach our destination/charging stops with 10%. That reserve has always been more than enough even on 1000 - 2000 mile road trips.

My general advice to anyone with a Tesla who has range anxiety: 1) Put the round trip into the trip computer. (e.g. Home => Place I Want To Go To => Home) 2) Always make sure you'll get to your next charging stop with 10 - 15% left according to the trip computer. 3) Relax and enjoy the auto-pilot :)

dietsche

3 年前議論

As a Tesla owner, I think the source of the confusion is the EPA range displayed in the HUD on the Tesla. We toggled ours to show the battery percentage, which is much more useful to us.

We've never owned a gas vehicle that met it's EPA range and the Tesla is no different. No one takes EPA MPG * GALLONS of gas and expects it to be a real life estimate of range.

Wind resistance increases EXPONENTIALLY with speed. Drive a little over the speeds the EPA used to determine range, and the observed range will drop significantly as a percentage when compared to the EPA range for any vehicle.

If you do have a Tesla, you'll quickly find out that the trip computer is very accurate. The worst I've seen is a cold January day in Wisconsin (-10F) while on a road trip with a head wind. In that scenario, the trip computer was off by 7% mostly due to the head wind. In the summer, it is spot on usually within 1 - 2%.

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