u/bigbankmanman

protection for creek crossings on outback trips without risking the engine. the stock setup was fine for light stuff but i needed something more reliable for deeper water.

i got a snorkel kit from road runner offroad and it went on clean with good fit for the model. now the truck feels more capable but im wondering about any extra maintenance or tweaks needed after install.

what snorkel setups worked on your landcruisers and did you notice any changes in performance or things to watch for on long trips? any tips would help.

I’ve been running a couple random services on old hardware for a while, but finally decided to give Proxmox a proper try after seeing it recommended everywhere in homelab discussions. Honestly, I expected the setup process to be way more intimidating than it actually was. The web UI feels surprisingly clean once you spend some time with it. What’s overwhelming now is figuring out the “best” way to organize everything. VMs vs LXC containers, storage layouts, backups, networking… feels like every topic opens another rabbit hole. Right now I’m mostly experimenting with media servers, Docker stuff, and basic self-hosted services. Curious what projects or setups made Proxmox really click for you when you first started using it.

I’m a 37 y/o Army vet finally trying to untangle my mess of service-connected stuff and could really use some guidance from folks who’ve been through it.

I’ve got ratings for my knee and shoulder, plus migraines and anxiety that I’m pretty sure are lowballed. I’ve also got a spouse and two kids, and I keep seeing people talk about combined ratings, the Bilateral Factor, IU, presumptives, etc. It’s honestly overwhelming.

Lately I’ve been playing with online VA disability calculators that ask about each body part and dependents, and they spit out a combined rating that’s higher than what VA says I have. Some even factor in things like bilateral issues and potential increases.

For those of you who’ve filed increases or new claims recently:

- Are these calculators actually accurate/helpful or just “feel good” tools?

- Did using one help you plan what to file or what evidence to gather?

- Any tips on not screwing myself by filing for an increase?

Really appreciate any honest feedback or experiences.

I just moved out of my apartment in Chicago after three years, and my landlord is trying to keep half of my security deposit for "professional deep cleaning." I spent two full days scrubbing that place top to bottom before handing over the keys. When I asked for an itemized list, they sent me a blurry photo of a tiny bit of dust on top of a ceiling fan blade and some "streaks" on the inside of the microwave. They’re claiming this requires a $500 cleaning fee because it makes the unit "unrentable" in its current state.

Does this actually fall under "normal wear and tear," or am I being scammed? I have photos and videos of the entire place from the day I left showing it was spotless, but the landlord is ghosting my emails now that I’ve challenged the charge. What are my next steps to get my full deposit back? I’m worried that if I don't act fast, they'll just stop responding entirely.

Location: Chicago

I run a small SaaS tool and we’re expanding into Spanish, German, and French markets. I need to translate help docs, in-app strings, marketing pages, and support replies so they feel natural and professional in each language, not just literal translations.

I’ve been using ChatGPT + DeepL for quick drafts but I’m still spending hours fixing terminology, tone, and little cultural details. It’s time-consuming and the consistency isn’t great.

I recently found adverbum and it looks like it combines AI with proper localization workflows.

What AI tools or setups are you actually using for technical/product translation and localization? Especially for SaaS content where accuracy and natural tone really matter. Any recommendations that save serious time while keeping quality high?

I’m convinced that every mirror in a clothing store fitting room is tilted back at a precise 2-degree angle to make everyone look slightly taller and thinner than they actually are. Then, when you get the clothes home and look in your own mirror, you look "normal" again, but you assume it’s just the bad lighting in your bedroom rather than a structural lie told by the boutique.

I just got back from a 10-day trip to Iceland in early April and I’m still buzzing about it nonstop. The landscapes hit different in spring with leftover snow on the mountains, black sand beaches, and waterfalls that feel way bigger in person. Even the northern lights showed up one clear night which I wasn’t expecting that late in the season.

The weather flips every single hour so I lived in layers plus good waterproof boots the whole time and it saved me more than once. Renting a car right at the airport was the smartest move I made. It gave me total freedom to pull over whenever I wanted instead of sticking to bus schedules or group tours.

I used guidetoiceland to book a couple day trips because they handled hotel pickup straight from Reykjavik, the guides actually knew their stuff, and everything ran on time with zero hassle. Their Golden Circle run ended up being one of the easiest highlights of the whole week.

Iceland lived up to the hype and then some. I’d go back in a heartbeat.

I am not looking for surface level summaries or argument style books, more something that helps you understand lived experience, perspective, and how inequality actually shows up in everyday life

fiction or non fiction is fine, I just want something that feels honest and not simplified

what would you recommend that genuinely changed how you think about it?

I've been running SEO for enterprise-level sites for the last nine years, think multi-million dollar SaaS platforms, national finance blogs, and large e-commerce brands with 500k+ monthly visitors. Lately every thread in here is pushing "optimize for AI" as the next big lever to scale traffic and revenue. But after pulling raw server logs, GA4 reports, and referral data from 42 different high-traffic domains I manage or consult on, I'm calling it straight: AI traffic is a myth at this scale.

We tracked every major AI tool, ChatGPT, Perplexity, Gemini, Claude, across all those sites for the full 2025-2026 period. Combined they delivered less than 0.6% of total organic traffic on average. On the biggest site in the group, a personal finance brand with 1.2 million monthly users, AI referrals never topped 1,800 sessions in any single month. That's noise you wouldn't even notice in the dashboard. Google organic still accounts for 78-86% of growth while AI sits completely flat.

I ran a six-month controlled test on a SaaS site that ranks in the top three for competitive B2B keywords and gets cited in AI answers almost daily. We added source links, structured data, and clear citations everywhere the client asked. Result? Zero measurable lift in sessions, zero extra sign-ups, and zero revenue traceable to AI sources. Users read the summary in the chatbot and never click through. Same exact pattern on three e-comm stores in the home and beauty space, sales stayed locked to traditional search trends.

The case studies getting shared here always fall apart when you look at the actual numbers. They measure "mentions" or "impressions" instead of real visits and conversions. I’ve yet to see one big-site example where AI traffic moved any needle that mattered. The few tiny blips we saw were usually misattributed regular organic that happened to line up with AI query spikes.

Has anyone here actually seen sustained, measurable AI traffic at scale on a big site with real revenue attached? Or are we all still chasing the hype while the data shows it's basically zero? Drop your actual 2025-2026 numbers if you have them.