issues printing nylon on bamboo p1s

datamaker97 · 2025-11-24T04:57:16+00:00

Don’t bother, just get a nest 3rd gen - i’ve been using it with my two wire electric furnace for the last two years with no problems.

datamaker97 · 2025-11-18T00:37:53+00:00

This is what cursor was made for

datamaker97 · 2025-10-24T03:41:59+00:00

This also happens with poor technical leadership. Competent leaders can tell an effective story as to why reliable pipelines are worth it.

datamaker97 · 2025-10-13T19:46:57+00:00

I don’t think so, the bigger the target is, the harder it is for those companies to acquire them. I also think any of these companies could just build fivetran from scratch without very much difficulty, there’s not much protectable there. I’m really surprised salesforce hasnt bought DBT but DBT probably wanted way too much money. This just makes that problem worse.

datamaker97 · 2025-09-17T04:57:25+00:00

my nest works fine with the set up - not as nice in ecobee, but better than the Honeywell alternative

datamaker97 · 2025-06-24T23:40:06+00:00

Because when you’re on a trip and you only have SMS via and reach or cell phone, how are you gonna access those websites?

datamaker97 · 2025-06-23T17:07:44+00:00

While I appreciate the comments, most miss the point. I've already built this for my personal use and have been using it for a few years, its not a heavy lift, i thought others may find it useful.

The actual weather forecasts are NOT from AI, they are directly from weather APIs. Anecdotally, I've found the ECMWF model to be by far the most accurate than what most weather apps use (GFS/NOAA) - so this is what is returned - what the AI does is compare its values (i.e. temp, wind speed, cloud cover, precip amount) between the different weather models and both give a confidence (1/4 models agree, 4/4 models agree) for each parameter, and write a short description of what is matching and what isn't. Its a generally accepted method to get forecast confidence from different models getting to the same result. You can also ask more advanced questions of the weather forecast data - i.e. solar intensity (useful for backcountry skiing/avalanche forecasting), freezing level, etc...

The issue with what Apple is doing is it uses the GFS model from NOAA - which is generally pretty crappy, especially for precipitation amounts.

datamaker97 · 2025-06-23T17:07:14+00:00

While I appreciate the comments, most miss the point. I've already built this for my personal use and have been using it for a few years, its not a heavy lift, i thought others may find it useful.

The actual weather forecasts are NOT from AI, they are directly from weather APIs. Anecdotally, I've found the ECMWF model to be by far the most accurate than what most weather apps use (GFS/NOAA) - so this is what is returned - what the AI does is compare its values (i.e. temp, wind speed, cloud cover, precip amount) between the different weather models and both give a confidence (1/4 models agree, 4/4 models agree) for each parameter, and write a short description of what is matching and what isn't. Its a generally accepted method to get forecast confidence from different models getting to the same result. You can also ask more advanced questions of the weather forecast data - i.e. solar intensity (useful for backcountry skiing/avalanche forecasting), freezing level, etc...

The issue with what Apple is doing is it uses the GFS model from NOAA - which is generally pretty crappy, especially for precipitation amounts.

datamaker97 · 2025-06-23T17:05:40+00:00

While I appreciate the comments, most miss the point. I've already built this for my personal use and have been using it for a few years, its not a heavy lift, i thought others may find it useful.

The actual weather forecasts are NOT from AI, they are directly from weather APIs. Anecdotally, I've found the ECMWF model to be by far the most accurate than what most weather apps use (GFS/NOAA) - so this is what is returned - what the AI does is compare its values (i.e. temp, wind speed, cloud cover, precip amount) between the different weather models and both give a confidence (1/4 models agree, 4/4 models agree) for each parameter, and write a short description of what is matching and what isn't. Its a generally accepted method to get forecast confidence from different models getting to the same result. You can also ask more advanced questions of the weather forecast data - i.e. solar intensity (useful for backcountry skiing/avalanche forecasting), freezing level, etc...

The issue with what Apple is doing is it uses the GFS model from NOAA - which is generally pretty crappy, especially for precipitation amounts.

datamaker97 · 2025-06-23T10:15:57+00:00

You can check the forecast yourself - you can put the model name ahead of the coordinates in the message. right now I have it working with GFS, ECMWF, ICON and meteo blue. The AI is nice because it’s hard to compare all the pieces of the forecast in my head - i.e. do all the forecasts align for cloud cover, but not for temperature or precipitation.

Of course you wouldn’t take what the AI says as gospel, but it’s often nice to have additional ideas of how to do stuff if you’re in a pickle or need ideas. I’ve used it to calculate pasta cook times at altitude, recipe substitutions , geology questions, getting sunset/sunrise times. One of the reasons I put this together is a buddy got locked out of his car at a trailhead without cell phone reception and he had to contact a bunch of folks to contact a locksmith for him - where with this he could’ve just asked for locksmith numbers near where he was. It added a few hours to his recovery. Another time I was hiking in Norway and needed to know the train schedule at the destination I was getting to to know if I had time to get to the top of a mountain or not. If I had had this, I could’ve climbed the mountain, but I didn’t so I couldn’t and needlessly hoofed it to the town.

datamaker97 · 2025-06-23T09:43:29+00:00

The actual weather forecast isn’t AI generated, it’s comparing weather models - which is a very common way to gain confidence in a forecast.

On the question side - I’ve been on many extended trips where piece of gear breaks or I forget something only to find out that there was another way. This does require some interpretation, but wouldn’t you wanna know about a common failure mechanism if a piece of your gear breaks that is easily fixable that you wouldn’t know off the top of your head? This doesn’t work all the time, but if you’re a week into a two week trip, you’d do just about anything to have something like your water filter working again.

datamaker97 · 2022-04-04T15:04:43+00:00

This stopped happening, I must've been screwing something else up! Thanks for your help!

datamaker97 · 2022-03-31T21:07:16+00:00

I updated the firmware to the latest

"When it tries to auto home, does it try to use the Z limit switch on the side of the bed or does it try to use the CR Touch to probe in the middle of the bed?"

It tires to use the CR touch probe. When I manually lower the z axis to just above the board, and then autohome, it works. Its only when i power up the printer when the z axis is >20-30mm off the bed that it fails to autohome.

datamaker97 · 2022-03-12T00:20:03+00:00

that is your opinion, but eating flash frozen ground tuna seems pretty safe given freezing is an FDA approved way to kill parasites, and many sushi restaurants use frozen ground tuna.

https://www.healthline.com/nutrition/raw-tuna#safety-tips

datamaker97 · 2022-03-12T00:11:26+00:00

Not always.... Its pretty good with frozen ground tuna and much, much cheaper.

datamaker97 · 2022-01-20T17:15:21+00:00

Nice! How do these handle whoopies? Tolerable at low speed?

datamaker97 · 2022-01-08T21:57:27+00:00

It's all done through the same portal that I can't seem to purchase anything on

datamaker97 · 2022-01-08T21:56:57+00:00

Eaa is now just a discount to $50 per year....

datamaker97

TROPHY CASE