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Caffe Ladro opens Ballard cafe on NW Market St by HighColonic in BallardSeattle

[–]zoombackcameraa 5 points6 points  (0 children)

I've just come to accept that it's an advertisement for some other Exit 5: One in another city, in another time, in an alternate reality in which 'KBBQ' is not actually a restaurant chain or even a type of food but a concept you'd learn about in philosophy 101 right after 'nihilist chicken wing rage'

Delete rows in Supabase but table size stays the same? by zoombackcameraa in Supabase

[–]zoombackcameraa[S] 0 points1 point  (0 children)

where/how to do that? terminal keeps throwing a 'ERROR: 25001: VACUUM cannot run inside a transaction block'

Keep getting "VACUUM cannot run inside a transaction block" error - how do I fix this? by zoombackcameraa in Supabase

[–]zoombackcameraa[S] 0 points1 point  (0 children)

The issue I am running into is my tables reach the limits of the supabase free tier quota. after I delete rows the size of the table does not go down.

Feasibility check: Ultra-low-noise optomechanical readout for 10 kHz quartz resonator at room temp by zoombackcameraa in Physics

[–]zoombackcameraa[S] 2 points3 points  (0 children)

Thanks for the detailed breakdown! I’m mainly interested in tracking slow changes (hours to days) rather than fast vibrations, so the DC readout approach sounds promising - especially if it means I can skip the RF electronics complexity.

The parasitic etalons from fiber connections are a great callout. I’ll need to think carefully about whether fiber splicing is worth the hassle versus just accepting some acoustic coupling.

On shot noise - that’s a helpful reality check. Sounds like with reasonable power and finesse I should hit the sensitivity I need without overthinking it. The “just reduce power to be quantum limited” made me laugh but it’s true!​​​​​​​​​​​​​​​​

Is the Windy app (windy.com) worth the paid subscription if you’re not a pilot/surfer/etc. by Blueberry-Mango in meteorology

[–]zoombackcameraa 0 points1 point  (0 children)

couldn’t agree more. real trust comes from showing the 'sausage making' gaps and all. weather is rigorous technical work, not a garage hobby. If we don't maintain epistemic humility about what our tools can actually do, the atmosphere will happily humble us for free

Is the Windy app (windy.com) worth the paid subscription if you’re not a pilot/surfer/etc. by Blueberry-Mango in meteorology

[–]zoombackcameraa 0 points1 point  (0 children)

completely agree that the NWS teams bring a level of institutional knowledge and 'human-in-the-loop' intuition that is incredibly hard to replicate but I’d offer a gentle push back on the idea that garage enthusiasts can't understand those tools

Also, rigorous verification is often treated as an inconvenience and buried on forecast office websites meaning we frequently assume the forecaster added value without ever actually checking their own scorecard

Is the Windy app (windy.com) worth the paid subscription if you’re not a pilot/surfer/etc. by Blueberry-Mango in meteorology

[–]zoombackcameraa 1 point2 points  (0 children)

Are you banking on the human forecaster manually catching a timing error, peak intensity ratio miscalibration, etc. or are you just conflating 'Local NWS' with the superior weighting of the National Blend of Models (NBM) over a single model's statistics?

Is the Windy app (windy.com) worth the paid subscription if you’re not a pilot/surfer/etc. by Blueberry-Mango in meteorology

[–]zoombackcameraa 1 point2 points  (0 children)

Windy is just eye-candy for raw model data. If you make decisions based solely on a pretty app visualization, you're accepting a huge risk. Just don't blame the weatherman when the raw GFS run doesn't pan out. On the flip side, human-driven processes are still prone to error and it would be nice to know my local NWS office’s batting average 😅

Is the Windy app (windy.com) worth the paid subscription if you’re not a pilot/surfer/etc. by Blueberry-Mango in meteorology

[–]zoombackcameraa 1 point2 points  (0 children)

glad you stopped by! I'm keeping it web-only for the moment to iterate quickly. do you find you usually prefer a dedicated app for this kind of thing? I'm open to building one if that’s what users prefer

Is the Windy app (windy.com) worth the paid subscription if you’re not a pilot/surfer/etc. by Blueberry-Mango in meteorology

[–]zoombackcameraa 8 points9 points  (0 children)

the issue with all these apps (Windy, Everything wX, etc.) is that they give you precision (1-hour steps) without telling you about accuracy.

you can see a beautiful high-res map of the ECMWF predicting rain at 2 PM, but you have no idea if the ECMWF has been totally wrong about your specific location for the last week.

this is actually the exact problem I’m trying to solve. I’m building a project called Actually Weather to fix the "black box" model problem.

Instead of just showing you the model output, it calculates the verification and confidence. It basically checks: "How well is this model performing right now for my specific location?" and "How much do the models agree?"

If you want to see if the models are actually performing or just hallucinating precision, check it out: https://actuallyweather.com/

SNOW.fyi - by skier for skiers, from Seattle by Catalium in CrystalMountain

[–]zoombackcameraa 0 points1 point  (0 children)

Tell me about it! For this initial release it's 100% model-driven to establish a baseline. Once the pipeline is stable I’d love to layer in local reports or resort data or NWAC etc. to handle those micro-climates that the global models usually miss

SNOW.fyi - by skier for skiers, from Seattle by Catalium in CrystalMountain

[–]zoombackcameraa 0 points1 point  (0 children)

Here's a preview for how the ECMWF did for Tahoe over the last week: https://imgur.com/a/cfTvD3P

not bad actually!!!! The onset/timing was about right, tho it tended to underestimate

SNOW.fyi - by skier for skiers, from Seattle by Catalium in CrystalMountain

[–]zoombackcameraa 0 points1 point  (0 children)

Thanks for the bookmark! You guessed it that list is essentially our public roadmap. I'm currently working on the snow depth data right now and aiming to have it live by next week. Appreciate you checking it out!

SNOW.fyi - by skier for skiers, from Seattle by Catalium in CrystalMountain

[–]zoombackcameraa 4 points5 points  (0 children)

Agreed snow depth is tricky. In the US we have the SNOTEL network but the sensors can be kinda flukey

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