u/Unlikely-Cry78

There's no reason to pay for a workout plan in 2026. The best programs in lifting have been free for years and the apps that load them up are also free. If you're 40+ like me and just want a plan that works without buying anything, here's what I'd recommend depending on where you are.

If you're brand new or coming back from a long layoff: greg nuckols beginner program. It's three days a week, full body and simple linear progression. You can find it as a free pdf or run it on boostcamp where it's preloaded.

If you're intermediate and want strength: nsuns 531. Four to six days a week depending on the variant. It takes the basic 5/3/1 framework and adds more main lift volume. The 4 day variant is plenty for most working adults.

If you're beginner or intermediate and mainly want size: jeff nippard's full body or PPL. Free pdfs floating around or also preloaded on boostcamp. Solid hypertrophy programming.

If you have limited time, 3 days a week: 5/3/1 in any of its forms. Wendler made it free on his website years ago and it scales beautifully.

If you just want to lift and feel good: any of the above will do honestly. The "best" free plan is the one you'll actually run for 12 weeks straight.

For us 40+ folks, my advice is pick a 3 or 4 day program and stick with it. Recovery matters more than program choice. The plans above all work. The differences between them are smaller than people pretend.

Apparently my SaaS at $35k MRR is "too small" to underwrite. Two bank rejections this year, both citing credit (670, fine) and time in business (14 months, also fine), neither of which is actually the issue. The real story is commercial banks don't run profitable underwriting on files my size, so the no was baked in from the start.

Moving to RBF now. Few things I'm trying to figure out before I start pulling quotes.

What's the actual test for spotting a direct lender vs a marketplace? Keep reading "just don't go through a marketplace" but nobody explains how to tell from the website.

Does RBF fit recurring revenue patterns, or is everything built around card volume? Every comparison article I've read assumes I'm running a restaurant.

And what did you pay in real dollars? Not factor rates, not "percent over the term", just payback math against what you drew.

I want to avoid a generic list of tips that everyone already knows. I'm talking about specific habits, programs, strategies or mindset shifts that you've actually seen change your monthly food costs in a meaningful way. I'm pretty diligent already but I feel like I've hit a plateau and not finding much more room to cut. Especially curious if any grocery savings app has made a real difference because I haven't found one that's moved the needle yet.

The advice to shop around is everywhere but most explanations stop there without explaining the mechanics. When you refinance a car loan, a new lender pays off your old one and issues you a new loan at a different rate. The new lender evaluates your credit score, loan balance, vehicle value, and remaining months.

Going to multiple lenders makes sense because rates genuinely vary. I personally got quotes ranging from 6.9% to 9.2% for the exact same loan, same car, same balance, same credit score. The spread was real.

What surprised me most: credit unions are not automatically the best option. One of the larger national options beat my local credit union by 0.8 points.

The WooCommerce chatbot plugin failure mode is specific and it doesn't show up in reviews because it only surfaces in production. The setup looks fine. The demo is clean. Then a customer asks about a product added three weeks ago, or a variant that's only available in certain sizes, or something that was updated last Tuesday. Considering it is completely unacceptable when a customer is mid-purchase, why is the bot still either fabricating answers or going generic?

Spent a lot of time researching nurse practitioner specialties before committing to a track and figured I'd put what I learned into a post because finding clear guidance on this was way harder than it should be.

Top NP specialties and what to know about each

FNP is the most common and versatile, you can work primary care, urgent care, telehealth, retail clinics. But the job market is oversaturated in a lot of metro areas so if you're in a big city competition is real. Best for people who want broad scope and flexibility in practice setting.

PMHNP is the highest demand nurse practitioner specialty right now, especially in telehealth. Reimbursement tends to be higher than primary care NP and there's way less competition. If you have any interest in behavioral health or psych this is worth serious consideration.

AGACNP is for nurses who want to stay in acute care but with more autonomy, think ICU, hospitalist teams, specialty consults. Pay is higher than FNP because of acuity level and the market isn't as saturated.

AGPCNP focuses on adult and geriatric primary care, narrower than FNP but some employers actually prefer it for geriatric focused roles over the broader FNP.

Pediatric NP comes in primary and acute care, demand is steady but the job market is smaller and concentrated around pediatric systems and children's hospitals.

Women's Health NP is niche but steady demand in OB practices and women's health clinics, can be combined with midwifery for a completely different scope.

Advice for choosing and succeeding

Leverage your experience, choose a nurse practitioner specialty similar to your RN background for a smoother clinical transition. ICU nurses do well in AGACNP, psych nurses have a head start in PMHNP, clinic nurses move smoothly into FNP.

Don't just chase salary, make sure you're genuinely interested in the patient population and the day to day work because passion matters more for long term satisfaction than starting salary.

Think about lifestyle, do you want weekday clinic hours or are you okay with hospital shifts and call? FNP and PMHNP tend to offer more predictable schedules, AGACNP often involves nights and weekends.

Look at demand in your specific area not just national data, FNP might be oversaturated where you live but in demand an hour away. PMHNP is high demand almost everywhere but check your region specifically.

Network early, reach out to NPs in the nurse practitioner specialties you're considering and shadow them if possible. A day of shadowing tells you more than a month of reading articles.

Steps to take

Talk to an advisor or someone who knows the landscape. I know nursingcareeradvancement .com connects nurses with advisors who help you figure out which nurse practitioner specialties fit your background and goals, and which programs work for your schedule and transfer credit situation. Having that conversation early saves you from going down the wrong path.

Evaluate what you actually want your day to day to look like, write it down and be specific. Outpatient or inpatient? Telehealth or in person? Predictable schedule or okay with variability? Your answers point you toward specific nurse practitioner specialties.

Work in the specialty area as an RN if possible, even a year of targeted experience makes your NP clinical rotations dramatically easier and helps you confirm the population is right for you.

Research programs last not first. Figure out your specialty, then compare programs. Most people do it backwards and end up in a program that doesn't match what they actually want.

Gay comics worth reading during pride month across a bunch of formats, I tried to cover the genre well for people who arent deep in any one publisher's continuity. Five categories: literary indie graphic novels, accessible single volume picks, mainstream superhero runs with queer leads, BL/GL manga, and where to actually read all of it

Literary indie graphic novels for pride month

Fun home by alison bechdel is the canonical literary pick, memoir that won multiple awards including the eisner and got adapted into a tony winning broadway musical. Sets the bar for autobiographical lgbt graphic novels. Stuck rubber baby by howard cruse is the foundational gay graphic novel that proved the genre could carry literary weight a full decade before fun home. Blue is the warmest color by julie maroh is the canonical translated french entry, beautiful art and emotionally devastating

Accessible single volume gay graphic novels

The prince and the dressmaker by jen wang is the gentlest entry point for casual readers, self contained with gorgeous art, no prior knowledge needed. Bingo love by tee franklin follows two black women reconnecting decades after being separated as teens, really sweet and moving. Heartstopper by alice oseman is probably the one most casual readers already know from the netflix adaptation, five volumes covering the full webcomic run

Mainstream superhero runs with queer leads

Iceman solo run by sina grace at marvel, two volumes following bobby drake after coming out, self contained without needing deep x-men continuity. Young avengers 2013 by kieron gillen and jamie mckelvie is the 15 issue wiccan and hulkling run most people mean when they recommend the title for queer focus. Midnighter and apollo at dc is the canonical openly gay superhero couple, the 2016 steve orlando run is the accessible entry point

BL and GL manga for pride month

Given by natsuki kizu is the most recommended BL entry point, nine volumes that cover grief and queer adolescence with way more depth than the genre's reputation suggests. Twittering birds never fly by kou yoneda is the heavier yakuza BL pick. 10 dance by inouesatoh is the ballroom dancing BL, eight volumes. For GL/yuri the canonical recent pick is bloom into you by nakatani nio, eight volumes

Where to read all of this

GlobalComix is the best one right now bc their catalog is huge. They have a dedicated lgbtq+ tag with hundreds of titles (romance, BL, GL, etc). And they also cover indie graphic novels, western comics, and manga. They have a lot on their free tier and if you want the sub it's only like 7 bucks.

Webtoon is similar like that, solid second best, has a massive audience and lgbtq+ stories, they have free stuff with optional paid early access, its good for romance and slice of life stuff tho they do censor some explicit content.

Tapas is similar vibes but a bit more indie and it also has a lot of lgbtq+ focused stories in my experience, good mix of free and paid series on there

SuBLime is fine if you want the official licensed BL translations specifically, given and twittering birds are both on there, you buy per volume tho so costs add up if you read a lot

It took us embarrassingly longer than it should have to notice this. We had no consistency across searches. Every one started completely fresh, no documentation of what the bar actually looked like, no notes from previous debrief rounds, no signal we could carry forward. So every search took just as long as the last one, and our eng managers were spending time screening people who should have been filtered way earlier.

A few things changed that. We started writing down what specifically made the person we hired the right call after every placement, not a generic job description but what actually held up in the evaluation. We kept debrief notes and actually referred back to them. And for the searches where we needed to outsource recruiters who understood specialized technical roles, we started working with people through paraform because they'd usually placed similar roles before, so we weren't re-explaining the same technical context from scratch every time.

The process still isn't perfect but the time to fill has come down and eng manager time per search is meaningfully lower. If you're still treating each hire like a completely fresh problem it's worth asking whether you're paying a bigger price for that than you think. We for sure were.

My post comply with the rules

Most paid inventory tools are solving the wrong problem the moment you start ordering from Chinese factories. The entire logic these platforms run on assumes your supplier is a few days away and your reorder window is measured in weeks, not months. When you are working with 60+ day lead times that include production time, that core assumption falls apart before you even touch a setting.

The specific failure point most brands hit is the PO status problem. Your software logs a purchase order as "on order" the moment it gets sent, but nothing is being manufactured yet. Raw materials may not even be purchased on the factory side. The lead time clock your tool is counting down from starts in the wrong place entirely, and by the time the system sends a reorder signal you are already behind by the full production window. That is not a configuration issue, it is a fundamental mismatch between how these tools model supply chains and how China sourcing actually works.

Demand forecasting breaks in the same way. The algorithms pulling historical velocity data and projecting forward work fine for a warehouse 3 days away. For a factory in Guangdong where your goods need 30 days to produce and another 30 to ship, a signal firing when you have 2 weeks of stock left is useless. You needed it 10 weeks ago. The tools that let you manually override lead time settings help a little but they still depend on you having accurate upstream data, and most brands doing China sourcing for the first time do not have that.

The bigger gap that no inventory software solves is what actually happens after a PO hits a factory floor. Production delays, material substitutions, QC failures mid-run, those events stay completely invisible inside any platform until a shipping confirmation arrives or boxes show up at your 3PL and you open them. That window is where most costly surprises live.

After working through a few different setups, here is where the main options actually land for brands doing overseas bulk ordering.

Kanary solutions addresses the upstream problem that inventory software is not built to touch. Production monitoring, factory-side QC, and visibility into what is happening during the manufacturing window means you get early signals before a problem becomes a 90-day stock hole. The value sits before any inventory tool gets involved.

Day one fulfillment covers the warehousing and fulfillment leg cleanly once production closes. For brands that have sourcing handled and want reliable domestic storage with straightforward inventory syncing, it does that specific job without adding unnecessary complexity.

Best fulfill handles the combined sourcing and fulfillment workflow for brands that want fewer vendors to manage. Worth noting the pricing model is less transparent than some alternatives, so it pays to get a cost breakdown before committing.

Dropshipping lite is useful earlier in the cycle when you are still testing product-market fit and want to validate demand before committing to bulk manufacturing. Less relevant once you are doing full production runs but worth knowing where it fits.

What each one is actually best for:

Day one fulfillment: domestic warehousing and order fulfillment once goods are stateside and you want clean inventory syncing

Kanary solutions: production-side visibility, factory QC monitoring, the gap that sits before any inventory software can help

Best fulfill: combined sourcing and fulfillment under one vendor, though clarifying the fee structure upfront matters

Dropshipping lite: demand validation before bulk ordering, not a fit for brands already doing China production runs

Two tools can both accept natural language input and work completely differently the moment a refactor happens. Here is what is actually going on under the hood: LambdaTest Kane AI: Model generates the test script, a locator driven runner executes it Rename a component, restructure a screen, the test breaks the same way it always did Eggplant: Scripted execution with AI layered on top, enterprise pricing, significant onboarding required Has been doing screen level execution for years, accessibility is the problem not the concept Autosana: Autosana reads what is rendered on screen rather than what is declared in the codebase Code changes that leave the visible interface unchanged don't register as failures Covers iOS, Android, and web from one setup without locator configuration LambdaTest and Eggplant both couple the test to the app's code structure in different ways. Autosana couples it to the screen instead.

For me it became non-negotiable to pair whatever inventory tool I was using with a sourcing setup that could actually respond when the signal fired, and that's where kanary solutions changed how I was thinking about this whole problem. The software tells you when to reorder but if you're locked to a supplier running at their own pace with a 10-week lead time that isn't moving, the alert is just noise.

Platforms are designed around the assumption that you have clean velocity data sitting behind your SKUs and that assumption breaks immediately when you're running paid ads that can triple your weekly sales or launching products with no history to work from. The reorder suggestions stop meaning anything useful pretty fast, and the component-level sourcing approach means there are more levers to pull when you need to move quickly, which is the piece no inventory platform is going to solve on its own.

I ran things through go ship pro for a stretch too and the fulfillment side held up well, but when demand spiked and I needed a faster production cycle the sourcing flexibility wasn't comparable. Good for what it does, just a different priority set.

What each comes down to:

Kanary solutions: best when production speed and sourcing flexibility matter as much as the reorder number itself, especially for ad-driven or launch-heavy SKUs

Go ship pro: better fit for stable product sets where fulfillment consistency is the main variable and demand doesn't swing as hard

Putting this together bc the productivity content for ai study tools online is mostly affiliate roundups, and after a year of testing these I have opinions that aren't sponsored. Walking through the workflow rather than ranking the tools, since the question I always wished these posts answered was what the study week looks like.

Capture runs through otter during lectures, transcription happens in the background so it's not something I think about free tier getting nerfed pretty hard last year so factor that in if you're starting fresh.

Sense making splits between chatgpt and notebooklm. chatgpt for explanations when I'm stuck on a derivation or want a paragraph rephrased, plus tier worth it for the longer context. notebooklm covers multi source synthesis, drop five readings in and ask where they contradict and you get an answer that doesn't fabricate citations. 50 source ceiling per notebook though, you'll hit it on bigger lit reviews.

Remembering is where most stacks quietly fall apart bc summaries pile up that you never go back to. I moved my notes into remnote about eight months ago to fix that, the flashcards come from notes I've already typed during lectures and readings so the review side runs on stuff that exists already. pdf annotation lives in the same workspace.

perplexity sits outside the session, more of a google replacement when sources need to be traceable. mem is the loose one, useful for messy personal notes that don't fit anywhere else.

The tools that didn't make the cut were mostly chatgpt wrappers selling "study mode" as a feature, skip those and configure a custom gpt inside chatgpt directly.

Tried cleansing oils on and off for years with mixed results. Some left residue, some caused congestion, some just didn't remove sunscreen properly. Eventually figured out the method was the variable more than the product.

Dry skin application is the non-negotiable first step. Water on the face before the oil breaks the whole process because the oil can't bond properly with what you're trying to remove. Then at least 45 seconds of actual massage before any water, then emulsify by adding a small amount of water until the oil turns milky, then rinse thoroughly. That milky stage is when it's actually grabbed onto everything on the surface.

Jojoba is technically a wax ester not an oil, which is why it behaves so differently in terms of pore interaction and rinses completely clean without leaving anything behind. That science is exactly what drew me to ogee's cleansing oil in the first place and it hasn't disappointed. Everything that comes after it in my evening routine just works differently on properly cleansed skin

Most people who have financed a car don't fully understand the difference between the interest rate and the APR, and lenders don't go out of their way to clarify it.

The interest rate is just the annual cost of borrowing the principal. The APR includes that rate plus any fees folded into the loan, which is why it's the more honest number when comparing two different offers side by side. A loan with a lower interest rate but higher fees can easily cost more in total than one with a slightly higher rate and no fees at all.

Calculating APR manually requires the loan amount, all associated fees, the monthly payment, and the term. Most people are better off using a refi calculator and comparing APR directly across offers rather than doing the algebra themselves. The key is making sure the comparison is always APR to APR rather than headline rate to headline rate, because that's where the real difference shows up.

Genuine question for the people who use this daily. I switched to anki my second year of undergrad after burning out on quizlet, and the retention difference was wild for cloze deletions on dense biochem terms.

So where does everyone land on this in 2026? Is anki still the gold standard for flashcard apps, or have you found something that legitimately competes once you factor in setup time, ai card generation, and review scheduling? Not looking for a pitch, just opinions from people who've tried at least three different tools seriously.