u/Certain-Luck-2432

Black tea is one of the most beloved tea types in the world. From its bold flavor and invigorating energy to its cultural richness, black tea has a variety for every tea lover. If you are curious to know about black teas, here are various types of black tea explained:

Types of Indian Black Tea

Darjeeling

Often referred to as the "Champagne of Teas," Darjeeling is grown in the foothills of the Himalayas and offers floral, fruity notes. First flush Darjeeling is especially prized for its delicate and complex aroma.

Assam

Known for its rich, malty flavor and deep red hue, Assam black tea comes from India’s northeast. It’s the base for many breakfast blends and pairs perfectly with milk and sugar.

Nilgiri

This lesser-known Indian black tea is grown in the Blue Mountains. It has a fragrant, slightly fruity character and brews into a smooth, medium-bodied tea.

Types of Chinese Black Tea

Yunnan Dianhong

Famous for its golden buds and earthy-sweet flavor, Yunnan black tea is bold yet smooth, with natural notes of cocoa and honey.

Lapsang Souchong

This unique tea from the Wuyi Mountains is known for its smoky aroma, created by drying the leaves over pinewood fires. A must-try for adventurous palates.

Keemun

Keemun, or Qimen Hongcha, hails from Anhui province. It offers a rich, wine-like flavor with notes of stone fruit and orchid. It’s excellent for black tea lovers seeking complexity.

Other Regional Black Teas

Kenyan Black Tea

Deeply colored and highly caffeinated, Kenyan tea is robust and ideal for milk teas or strong morning brews.

Thai Black Tea (Cha Yen)

This sweet, creamy black tea is used in Thai iced tea, often served with condensed milk.

Ceylon

From Sri Lanka, Ceylon tea is brisk, citrusy, and versatile. It works well both as a hot or iced tea and blends beautifully with lemon or milk.

How many types of black tea have you tasted so far? Name them below. I personally like Jin Jun Mei black tea

14 months of data. Support parents in karachi and in laws in lahore, combined ~$900 monthly sent as two separate transfers from my US chase account. Both receiving sides use jazzcash for mobile money, only pull to bank when needed.

taptapsend us to pakistan jazzcash delivery, no fee above $200 (both sends are $450 each so above threshold), rate runs a couple of rupees per dollar better than my old wire option. Across 14 months: average delivery time to jazzcash 18 minutes, fastest 4 minutes, slowest 47 minutes. Remitly us to pakistan jazzcash delivery, $3.99 fee waived above $1000 but I'm under, average delivery 25 minutes. Worldremit us to pakistan jazzcash, $2 to $4 fee, average delivery 35 minutes.

On $450 sends taptapsend typically delivers 800 to 1500 more PKR than remitly because the fee differential compounds with the rate. Worldremit comes in third consistently. Wise doesn't support jazzcash at all for pakistan.

Western union us to pakistan with cash pickup is the most expensive option by a wide margin. Western union online option from a bank account is cheaper than their in person but still loses to apps on total PKR delivered.

For urgent sends (medical, emergency), taptapsend has been the most consistently fast to jazzcash in my tracking. If you need money to hit a family member's phone in under 30 minutes, it's the reliable option. Keep at least one other app installed as backup because any single app can have transient issues.

Lately I noticed I get weirdly stressed anytime I try buying something from a website I never used before. I open one tab then another then suddenly Im reading random reviews from three years ago like Im solving a detective case. Even when the website looks normal I still keep thinking what if the reviews are fake or what if the order never comes. It sound silly but online shopping used to feel way easier for me before.

A few days ago somebody told me about these 7OH products and I didnt even know what that was honestly. So I started searching around and ended up finding one store people were talking about in comments and forums. The site itself looked decent enough but then I started doing my usual overthinking thing checking contact pages reading Reddit opinions and comparing every little detail for no reason. One person said they had no problems and another person sounded super doubtful so my brain just got more confused.

Now Im sitting here with the page still open and still havent decided if I even want to order anything at all. Sometimes I think the internet gives too much information because one good comment and one bad comment can completely mess up your decision. Do other people also turn simple online shopping into a whole investigation like this?

If you're looking at online nursing courses my biggest advice is talk to an advisor or consultant before you start comparing on your own, the program websites all say the same thing and it's impossible to tell what the experience is actually like from the outside. A colleague connected me with nursingcareeradvancement .com where an advisor helped me figure out which online nursing programs fit my schedule and goals as a working RN. Figured I'd share the evaluation process because it would have saved me a lot of confusion if someone had posted this when I was searching.

Ask about the actual weekly schedule not just ""online."" Some online nursing courses have mandatory synchronous sessions, weekly discussion deadlines with specific post-by dates, or virtual labs at set times. If you work rotating shifts this matters more than anything else, get the actual schedule in writing before you apply.

Check who handles clinical placements if your program requires them. This is the thing that blindsides people the most, some programs have dedicated placement coordinators and some tell you to find your own preceptor. For working nurses, spending months cold calling sites on top of shifts and coursework can delay graduation by a full semester or more.

Look at completion rates and time to graduation for working students specifically. Programs love to advertise ""finish in 18 months"" but that assumes full time enrollment with no breaks. Ask what the average completion time is for students who work full time, that number tells you way more about what your experience will be.

Compare total cost not just tuition per credit. Factor in fees, textbook costs, technology fees, travel for any required intensives, and how long the program takes to complete. A cheaper per-credit program that takes six months longer can cost more in the long run when you add lost overtime and delayed career advancement.Verify CCNE or ACEN accreditation before anything else. This seems basic but some online nursing courses especially newer ones or certificate programs don't have proper accreditation, and that can cause problems with employers, licensure boards, and transferring credits to future programs.

Talk to current students not just admissions. Admissions counselors can only give you the program's perspective, but current students will tell you what the experience is actually like. Find current students through reddit, allnurses, linkedin, wherever, and ask them directly about the workload, advising quality, clinical placement support and whether the program delivers on its marketing. And honestly talking to an advisor or consultant who knows multiple programs can be really helpful too because they can give you personalized guidance on navigating the whole process instead of just one school's pitch.

Hey guys, I have been drinking this for a while. So thought to share it with you. It’s Baxian, In 1989, tea farmers in Fenghuang Mountain cut branches and grafted from a large black-leaved single-cong tea tree.

After cultivation, eight plants finally survived. After that, Baxian was well received in local tea evaluations. Because there were exactly eight plants, it was jokingly called like the Chinese traditional opera ‘Eight Immortals Crossing the Sea’. And thats also the original name of this tea but later it was shortened to "Eight Immortals".

Best afternoon tea in my opinion. It offers an ethereal aroma with cooling, refreshing notes and antioxidant benefits like aiding digestion, and relieving fatigue. Its gentle nature makes it suitable for everyday consumption.

Used both for real estate work and the honest answer is it's not really a vs situation as they sit at different stages of the workflow 

ChatGPT is fast, conversational, and good at the drafting and narrative layer. When I already have the numbers and need to turn structured inputs into a readable IC memo or clean up a deal narrative, it does that well. The problem shows up the moment the work requires sourced data, rent comps, market cap rates, submarket vacancy, it produces confident answers that may or may not trace back to anything real, and in a deal context where your IC is going to ask where every number came from, that's a problem and an automatic veto.

For document review and underwriting the workflows diverge more clearly. Leni ingests the full rentroll, OM and T12, runs a multi-step review rather than a one-shot response, and returns a first-pass analysis with citations back to specific sections of the source documents. Read recent benchmarks and  hallucination test leni was right 98% vs 91% for claude sonnet and almost half for chatgpt (45%). 

Chatgpt for everything communication and drafting related after the analysis is done, leni for the document extraction and first-pass underwriting before that.

July 1, 2026, that will run through the end of 2027. This will give eligible beneficiaries access to GLP-1s for weight management with a sharply reduced cost, including a $50 monthly copay. The program covers medications like oral and injectable Wegovy, Zepbound, and Foundayo. The government hopes to collect data before implementing a longer-term model afterward. Good to see some movement on access.

It took me three failed attempts before I figured out what I was actually doing wrong, and it wasn't the bar.

The waxy feeling most people complain about comes from one of two things: hard water reacting with the bar's fatty acids to form insoluble salts, or not rinsing long enough. Neither means the bar is bad. Both are fixable. 

What should work: lather the bar between your palms first instead of rubbing it directly on your hair. Direct application concentrates product in one spot and makes rinsing harder. Palm lather, then distribute. Rinse for at least twice as long as you think you need to, seriously, most people rinse for 20 seconds and that's not enough. 

If you have hard water, a diluted apple cider vinegar rinse once a week after washing breaks down mineral buildup fast. One tablespoon in a cup of water, pour through, rinse out. The waxy feeling disappears within a day or two. 

Second thing nobody mentions: your scalp needs time to recalibrate sebum production. If you were stripping with sulfates daily, your scalp is overproducing oil to compensate. That doesn't stop immediately. Give it two to three weeks before deciding the bar isn't working. 

For damaged hair specifically, pair with a separate conditioner rather than relying on the bar for moisture. The cleansing and conditioning jobs are genuinely better handled separately when your hair is compromised.

Running a small team of hourly workers, retail and cafe. Currently on group texts and it's becoming a mess. Looking for something actually built for this, not Slack or something that assumes everyone's at a computer.

What are you all using?

I'm not sure if I'm getting old or if the industry has just collectively given up on human contact, but trying to get an actual person on the phone at most book printing companies right now is borderline impossible.

I've been comparing quotes for a 500 copy hardcover run for a small press project, and out of the seven companies I reached out to, only two answered their phone. Three sent me to a contact form that promised a 48 hour response. One had a chatbot that asked me to describe my project in 200 characters or less. The last one had a voicemail saying the mailbox was full, which is its own kind of statement.

Honestly the chatbot one made me laugh out loud, because how exactly am I supposed to compress hardcover specs into 200 characters. Do you want trim size or paper weight, you cannot have both.

I understand support costs money and most printers operate on thin margins, but I am trying to spend four figures with you and I have legitimate technical questions about lamination and paper stock that I cannot resolve by clicking through a FAQ.

The two companies that actually picked up ended up getting my business across two different projects. Not because their pricing was better, but because when I asked a slightly weird question about end sheets they didn't make me feel stupid for asking it.

Is anyone else finding the same thing or am I just calling at unusually bad times. Drop the companies you've actually had good phone experiences with, would love to assemble a working list for the press community here.

I run a B2B consulting firm and we finally got the book out of draft hell and into a real manuscript this year. The plan is to use it as a credibility piece, hand it out at conferences and to qualified prospects rather than sell it on Amazon. We need around 2,000 copies for the first run, with reorders likely depending on event schedule.

Vetting book printing services for this turned out to be more involved than I expected. The questions that mattered for us were not the questions most of the printers are set up to answer on their websites.

Things that ended up actually mattering for a marketing book print run.

Per unit cost at the 1,000 to 2,500 range, because the price breaks are completely different from what individual authors care about.

Whether they could handle a soft touch matte lamination on the cover, which makes a huge perceived quality difference at the conference table and apparently most cheaper printers don't offer it.

Whether they kept files on hand for reorders without setup fees, because we'll definitely be reordering and I don't want to renegotiate every six months.

Turnaround for rush reorders, since conference dates don't move and we've already had one near miss where we almost ran out before a regional event.

A real human on the phone, because when something goes wrong with a corporate marketing budget you cannot wait 48 hours for a ticket response.

We ended up going with DiggyPod after talking to four printers. They weren't the cheapest per unit at first glance, but they were the only ones who picked up the phone within two rings and could actually answer specific questions about things like lamination and paper opacity without passing me around or putting me on hold. The rush turnaround option also made it easier to feel confident going into Q3 conference season.

Before getting my goldendoodle I kept getting the same vague answer when I asked about lifespan, ten to fifteen years, with no context about what drives that range or where most dogs actually land, so I looked deeper and here's what I found.

size is the most significant variable, mini goldendoodles tend to live longer than standards, generally 13 to 15 years versus 10 to 13, the poodle genetics probably help here too since poodles are a notably long-lived breed.

what actually moves things within that range, genetic health testing of parent dogs matters because hip dysplasia, progressive retinal atrophy, and certain cardiac conditions run in both parent breeds, however weight management across the dog's life is probably the biggest single lifestyle factor, and dental care is chronically underrated as a longevity variable in dogs generally.

a well-bred well-maintained mini goldendoodle reaching 14 or 15 years isn't unusual, a larger standard from lines with known hip problems might see issues earlier, the number means more when you understand what's behind it.

It is important to find an ethical breeder that has done genetic health testing on the parent dogs

After testing a lot of AI tools and building on top of several of them, the pattern I keep seeing is that failure usually isn't about the AI being wrong.

It's about the hand-off being broken.

The biggest friction points usually aren't:

- the AI not knowing enough

- the output quality being too low

- the context window being too small

They're things like:

- having to manually copy what's on your screen into the chat

- switching between the thing you're working on and the tool you're asking for help

- re-explaining context you've already explained to a different tool five minutes ago

- results that land in the chat window and then have to be manually moved somewhere useful

I've been building Invoko around the opposite assumption. The right place to start is the moment of friction, not the smartest possible model. You don't need a smarter AI. You need the one you have to already know what's in front of you.

One thing that surprised me: the ""get it done"" use cases are more convincing than the ""help me think"" use cases for most people. Summarize, push to Notion, send Slack link. That's a workflow. Chat is still a conversation.

invoko.ai, open beta, Mac only.

Three years using AI tools for frontend development across two very different contexts. One greenfield TypeScript project and one five-year-old production codebase with a custom design system. The quality gap between the two experiences isn't about the AI model. It's about whether the tool knows your codebase.

On the greenfield project the AI tools are excellent. Clean architecture, no internal abstractions, standard libraries throughout. ChatGPT for reasoning through component design, Cursor for implementation. Both work well because there's nothing org-specific to miss.

On the mature codebase it's a different story. Custom design system nobody else uses, internal component abstractions, state management patterns that evolved over time, custom hooks that encode domain logic, naming conventions that reflect a specific product history. Every AI tool we tried suggests the popular public libraries. Material UI components when we have internal equivalents, standard React state patterns when we have established internal ones. The suggestions are correct for some version of TypeScript React. They're wrong for our version.

The AI tools making a real difference on the mature codebase are the ones that build persistent understanding of our specific frontend rather than just knowing frontend in general. That means indexing our component library, learning our hook conventions, understanding the design token system. It takes time to calibrate but the difference in suggestion quality after calibration is significant compared to tools that only see what's in the current context window.

appetite is gone but my protein goals didn't get the memo so i'm always looking for new ideas. mine lately has been hard boiled eggs with everything bagel seasoning, what's yours

I just came here to vent. I manage social for 3 small clients, two need pinterest as their main channel. Every all in one social media schedulers tool ive tested treats pinterest like an afterthought. You can't bulk upload pins properly, the preview is broken half the time, the analytics for pinterest are 3 metrics deep.Then you go to instagram features and it's a full suite. It's like pinterest doesn't exist to these companies

The supports pinterest line on their landing pages is doing so much heavy lifting it's misleading. I need to know which schedulers actually treat pinterest as a first class platform vs which ones just have a checkbox for it

Sprašujem za starša: Mogoče ve kdo, kakšno je sedaj stanje s slušnimi aparati? Je kaj subvencionirano? In kje približno so cenovno?