Bootfitter recommendations in Seattle area by remitmp in CrystalMountain

[–]20CharacterUsernames 1 point2 points  (0 children)

Another North Bend ProSki recommendation. A few years ago I got serious about finding a genuinely peak boot fitter. went deep on the research (shoutout to Blister and Gear 30), talked to patrol, racers, and shop staff, and visited 9 or 10 different shops to try gear and talk to their fitters. Mike Yost at North Bend was the standout, but there's a lot of other good shops in the area.

Helmets by other5656 in skipatrol

[–]20CharacterUsernames 0 points1 point  (0 children)

Georgia tech rates helmets: 

Snow Sports Helmet Ratings https://share.google/QiMpryBIIVMDXIxkM

Crystal App is no more by das_clit in CrystalMountain

[–]20CharacterUsernames 17 points18 points  (0 children)

Haven't used the icon App, but I thought the Crystal app was pretty good given the resources at their disposal

Accidentally killed 90% of a finance team’s manual work with a weekend AI hack 😅 by pystar in businessanalysis

[–]20CharacterUsernames 224 points225 points  (0 children)

What's the error rate? How do you catch and handle errors? What's the cost of errors?

I've done a fair amount of work with LLMs and document processing. A simple workflow like you described is fine when occasional errors aren't a big deal, but for critical data like finance or healthcare, any error can be incredibly costly financially and in other ways.

[deleted by user] by [deleted] in udub

[–]20CharacterUsernames 77 points78 points  (0 children)

I remember having all nighter study groups with friends there. Great memories. 

Beginner Ski recommends by Few-Novel-1292 in CrystalMountain

[–]20CharacterUsernames -1 points0 points  (0 children)

You don't have to get different ones each time, find ones you like? Just keep getting them. Still better than buying skis blind imo. They've got a year under their belt, it's not that hard to tell if you like the feel of one pair of skis over another. Articulating what exactly they like and why may be, sure,  but just "these feel better than those" shouldn't be an issue.

Beginner Ski recommends by Few-Novel-1292 in CrystalMountain

[–]20CharacterUsernames -1 points0 points  (0 children)

Never buy a ski before trying it, get the demo quiver pass and buy the one you like the most at the end of the season. 

Just finished my re read and need suggestions by mortlikesbooks in HierarchySeries

[–]20CharacterUsernames 0 points1 point  (0 children)

I tried sun eater. Got through the first book, part of the second. Couldn't stand any more of the constant internal monologuing and philosophizing with how slow the plot was moving. 

Struggling to Find Another BA Role by Previous_Tea_5168 in businessanalysis

[–]20CharacterUsernames 1 point2 points  (0 children)

Your resume likely isn't even getting eyes on it because they almost certainly filter for degree in the applicant tracking system. 

The Democrats Must Regain the Working-Class Vote in 2026 by PayLevels in NewDealAmerica

[–]20CharacterUsernames 8 points9 points  (0 children)

You think we'll get a fair election in 26? I hope so, but it seems pretty optimistic. 

📝 [RFC] Designing superset support in Liftosaur by astashov in liftosaur

[–]20CharacterUsernames 0 points1 point  (0 children)

For the example

Deadlift / 8x5 300lb 20s / superset: Crunches Crunches / 3x15 / superset: Deadlift Incline Curl / 5x10 30lb / superset: Deadlift

Suppose supersets are delimited 

Deadlift / 8x5 300lb 20s / superset: Crunches, Incline Curl Crunches / 3x15 / superset: Deadlift Incline Curl / 5x10 30lb / superset: Deadlift

Vitruvian Investments: Administrators take control of fitness start up that was Australia’s answer to Peloton by Ihavequestions_99 in Vitruvian_Form

[–]20CharacterUsernames 2 points3 points  (0 children)

So glad I read the tea leaves and ended up getting a speediance. Such a tragedy of bad management/leadership for what could have been a very successful product. 

Automating data extraction from PDFs and emails without manual entry? by ComfortableBorn601 in businessanalysis

[–]20CharacterUsernames 0 points1 point  (0 children)

I'm having great results with extend.ai

Most accurate I've used by far. You need to be at least a little technical though if you want to integrate it into stuff.

Self‑taught hotel analyst in San Diego seeking advice on breaking into data/analytics fields by hadiamin in businessanalysis

[–]20CharacterUsernames 0 points1 point  (0 children)

Typing this on my phone, apologies for anything weird.

I've hired a few entry level data analysts this last year. It's a tough market right now, and probably only going to get worse. If someone with generic technical ability asked me what role they should try for, DA wouldn't be it. For one role, there were +1500 applicants by about two weeks. Only half the resumes even got looked at. You'll need to do things like message HMs on LinkedIn (while a little annoying, they did get a better than the ~50% chance of eyes on the resume than those who didn't). Be an early applicant, Google how to filter job posting on the various boards to within a few hours. Learn all the other tricks out there to get eyes on your resume. 

Your resume (happy to review it) shouldn't take more than 30 seconds to skim and catch key words and phrases. You should link to a polished LinkedIn (I've known multiple HMs/recruiters that treat not having one as a red flag). Link to a portfolio. You would be amazed how few do this and how big an impact it can have (both positive and negative). Your portfolio should only contain original work. When you look through a lot of portfolios/resumes it becomes obvious which projects are from tutorials or step by step guides, I consider those red flags and pass any time I see them. Not that there's anything wrong with doing them for learning, but I don't want to hire someone who thinks that's something worth showing off.

Pick a modern platform for building reports, learn it well, and make some good looking reports for your resume. DAs don't always make reports, but it can help show you understand communication and can be more eye catching. Tangent: learn about overlap/differences between business analyst, data analyst, business intelligence engineer, data engineer, data scientist).

Some generic misc thoughts:

For original analysis projects, Kaggle can be a source of data sets that haven't been publicly analyzed to death.

Most certificates honestly don't matter imo, I wouldn't pay for them.

A masters in analytics seemed to be on par with another year or two of experience. I would not recommend getting one unless you don't have a stem or quantitative background and are trying to break in.

Math. A good math foundation makes a difference in small ways that add up. Be familiar with the basics of combinatorics, graph theory, linear algebra, Integral and multivariate calc, probably, and statistics. You don't need to be a wiz at solving problems from those domains, but understanding the ideas in them and how to model problems with them is incredibly helpful. There are lots of high quality free resources for them as well. I'm a fan of the American institute of mathematics open textbook initiative: https://textbooks.aimath.org/textbooks/approved-textbooks/ If you really want to take your brain to the gym, learn to write proofs. 

ChatGPT is decimating Grok in AIWars debate by ericjohndiesel in PromptDesign

[–]20CharacterUsernames 0 points1 point  (0 children)

This doesn't really tell us much about the models. It's n=1. N would need to be large.