u/Silly-Ad667

The storage line item on a 3PL invoice is what most brands use as their proxy for inventory holding cost. In practice it's usually about half the real number, sometimes less, and the gap matters more as revenue scales.

Real inventory holding cost starts with the storage fee on the invoice, but that's maybe 40% of the actual number. Capital cost of the inventory value runs 20 to 30% of inventory value annually depending on your cost of capital, insurance adds a small percentage that compounds at scale, obsolescence risk is hard to quantify exactly but is real for anything with a trend cycle, and the opportunity cost of capital tied up in slow-moving SKUs is a number most brands never calculate because it doesn't show up anywhere on an invoice.

For brands sourcing from Asia with a traditional 3PL model, the inventory holding cost calculation starts before inventory even arrives. Ocean freight runs 4 to 6 weeks, customs clearance and domestic receiving add more time, and inventory accumulates holding cost across the entire pipeline before generating a dollar of revenue.

The variable that changes the real number most is weeks of cover, how much inventory you're carrying relative to weekly sales at any given time. Brands running 12 weeks of cover because their lead time requires it pay holding cost on 12 weeks of inventory continuously.

China 3PLs like Portless house inventory near manufacturing hubs compressing the dead pipeline window significantly, which is a meaningful solve.

Inventory holding cost is the number that almost never appears in a 3PL comparison and almost always has more impact on total unit economics than the pick and pack rate.

Hey, looking for ideas. One of the most boring tickets we get and the one that eats the most of my day. This is one of the most tedious tickets we deal with.

So, a manager submits a request saying "give Bob the same access as Sarah," and on the surface that sounds dead simple. The problem is Sarah's been here a while, so she's picked up access across a bunch of SaaS tools over time, some through Okta groups, some bolted on manually, and some that probably shouldn't still exist.

If I just clone her access directly, Bob inherits all the extra stuff she's accumulated too.

So instead, I have to pull her full access list, figure out what's actually role-relevant vs what she's just collected over time, go back to the manager for confirmation on which subset Bob actually needs, and then provision it.

We're a 2-person IT team at a 150-person org, and we get 2-3 of these a week, each one eating 20-40 minutes of clicking through Okta and chasing down manager replies.

I've thought about a few ways to fix this. Cloning Sarah's groups directly is the obvious move but that's exactly what causes the overprovisioning problem. Role templates sound clean in theory, but managers always wanna add "X plus one extra thing," so the template never quite fits.

The option I'm most curious about is some kind of AI agent that pulls the access list and pings the manager to confirm what Bob actually needs via chat, but I haven't seen anything that handles this well in practice.

Anyone got a workflow that actually solves this without it ending in overprovisioning or a manual deep dive every time? Really curious how other small IT teams are handling it, because doing this fully manually forever just isn't gonna work.

most of the conversation about class action settlements focuses on cases with active claim windows and specific deadlines. The join phase cases get less attention and I think that's backwards. Here's what's in the join phase right now that's worth registering for immediately:

instacart: anyone who paid service, delivery, or membership fees between january 2018 and december 2024. amazon alexa: anyone who owned or registered an alexa device after june 2014. apple icloud: anyone who purchased icloud storage in the past four years. google data tracking: anyone who had web and app activity tracking disabled between july 2016 and september 2024 but still had data collected. openai mixpanel: anyone who used chatgpt and had personal information exposed in the november 2025 breach. snapchat: anyone who used snapchat in the us and experienced mental or emotional distress from the platform. whole foods meat: anyone who purchased beef products from whole foods marketed as raised without antibiotics. fairlife: anyone who purchased fairlife milk or dairy products on or after february 2025. no proof needed. starbucks: anyone who purchased starbucks coffee products in the us. costco rotisserie: anyone who purchased kirkland signature rotisserie chicken or raw chicken from costco since january 2019. prime hydration: anyone who purchased prime hydration sports drinks in the us.

The join phase list is where the larger potential payouts tend to live because the cases are still unresolved.

I completely lost hearing in my left ear due to a viral infection, but my right ear remains perfectly fine. My ENT recommended a CROS (Contralateral Routing of Signals) system, where a transmitter on the deaf ear sends sound over to the good ear.

I have never worn hearing aids before, and the entire concept sounds disorienting. For those dealing with SSD, which brand manages the CROS transmission with the least amount of lag or delay? I am also worried about the battery drain since it has to stream continuously. Is there a clear frontrunner in the CROS market right now, or are they all pretty much the same tech?

What kind of results have you gotten from tesamorelin? I've heard some people saying they got better results from tesamorelin than with retatrutide and sermorelin, but how to the results differ? Were the side effects less serious, or was it simply more effective for weight loss? I'm interested in hearing about how the results of tesamorelin were different for you.

Do peptides really work for skincare or am I going to waste my money? The results on here look too good to be true

This might be a stupid thing to ask, but I am completely new to all of this so I just really need some advice. I have been looking into the whole glow effect and GHK-Cu stuff, but I am still trying to wrap my head around it.

For those of you who use copper peptides, what actual benefits are you seeing and feeling in your skin? What specific differences have you noticed, and how long did it take for you to start experiencing them?

Also, I was told to compare prices because there are a bunch of different types of sites selling these with completely different price tags. If it is allowed here, I would love some advice on that too. Which specific copper peptide do you use and how do you navigate the pricing without getting ripped off? I just need a solid starting point.

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Zanima me ali ste to ugotovili že pred puberteto?

Recently I wiped out pretty bad while riding my dirt bike and ended up tearing my rotator cuff in the crash. The foreman at the job site I'm working on told me that he healed a similar injury very fast using bpc͏-157, so I decided to ch͏eck it out. I looked around for places to get bpc-157, but all the med spas near me were out of stock. I don't really use the internet too much, and I'm not very tech savvy so I don't know where/how to look. Could you guys help me out? Thanks a bunch

Studio owner here, 4 years on Mindbody. Started at around $129/mo when I signed up, my last invoice was $387 and they're warning me about another bump. Our actual class count hasn't changed all that much.

The platform itself I can live with. booking works, the member app is fine. What I can't live with is the way they keep stacking fees. payment processing markup, marketing suite that I never asked for now bundled in, a "platform fee" that appeared on the last invoice with zero explanation.

Looked at switching twice and chickened out because the data migration looks like a nightmare. 4 years of member records, class packages, recurring billing. Has anyone actually pulled the trigger and moved off? What did you go to, how long did it take, and what broke?

Don't need it to do everything. I have separate tools for marketing and CRM. Just need bookings, memberships, and payments not to fight me.

All he had to say was basically just "So you're saying you used to think about food even when you weren't hungry?" Yeah. "Like all the time?" Yeah. "That sounds exhausting." IT WAS. He genuinely had no idea. He says he only thinks about food when his stomach starts growling. Must be nice honestly.

For anyone else with a partner who just doesn't get it, how do you explain it? I told him it's like someone finally turned off a radio that's been playing static for 30 years. I think he still doesn't really get it but at least he stopped asking why I don't want dessert anymore. Progress?

We spent the first year of AI developer productivity tools adoption making the same mistakes I now see everywhere. We evaluated capability benchmarks and suggestion quality scores and deployed the tool that won on those criteria. Six months in we discovered it had no viable path to satisfying our compliance requirements and had to start over.

The second evaluation started with the compliance requirements and worked backward. For our environment those were: no source code processed on vendor-managed infrastructure, per-interaction audit logging covering request and response content, no model training on our code, and the ability to direct inference to our own LLM endpoints. Starting from those requirements rather than capability benchmarks eliminated most of the field immediately and after doing research for tools with on-prem context engine deployment we landed on tabnine.

The AI developer productivity picture is good twelve months in. Acceptance rate around 30 percent on a complex Java codebase, context engine has learned our internal frameworks well enough that convention violation rate in code review is low, and the admin tooling gives us the team-level governance and usage visibility we need.

The productivity comparison versus Copilot or Cursor is complicated. On raw suggestion quality for greenfield work those tools are better. We can't use them. Within the constraint set our environment actually requires we got to a good outcome. The lesson is to establish the constraint set before the capability evaluation not after.

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I'm starting to do crypto mining and am searching for a good GPU VPS to begin. Though I have been looking into it a lot, that information is too much! I desire something that is dependable and performs well.

A little about myself: I am a tech lover and only recently got into crypto. I have some understanding of the basics of mining setups but I now want to upgrade to the next level without having to deal with all the hardware issues.

If someone could share their recommendations or experiences, I would really appreciate it! Additionally, any advice on what to look for in a mining VPS would be extremely ‍‌‍‍‌helpful.