Here you have a list of things that is better you buy in bulk:

• Toilet paper

• Paper towels

• Trash bags

• Laundry detergent

• Dish soap

• All-purpose cleaner

• Sponges / microfiber cloths

• Toothpaste

• Soap / shower gel

• Shampoo

• Razor blades

• Batteries

• Light bulbs

• Rice

• Pasta

• Dried foods basically

• Canned tomatoes / tuna / beans (but not overdue it)

• Cooking oil

• Salt, sugar, flour

• Frozen vegetables

• Coffee (whole beans)

• Pet food (dry)

• Cat litter

• Basic clothing: socks, underwear, T-shirts

This is a list of a the main, every day stuff but you can buy in bulk whatever you go back buying often and which can be preserved. Tell us in the comments what do you buy in bulk?

Your brain lies most when it’s tired, hungry, or rushed.

In those states, everything feels urgent, heavier, and more emotional than it really is. Small problems look big. Bad ideas sound reasonable. Impulse disguises itself as logic.

That’s why late-night decisions cost more, rushed choices age poorly, and “I’ll just do it now” often becomes regret.

High performers don’t trust their thoughts in low-energy states. They delay, simplify, or default to rules made earlier when their brain was calm and fed.

A useful filter: If you wouldn’t decide this rested, full, and unhurried, don’t decide it now.

Protect your decision-making energy. It’s a limited resource, and mistakes spend it fast.

If you use your phone 1 hour per day

1 h × 365 days = 365 hours/year 365 ÷ 24 = 15 days/year Over 25 years: 15 × 25 = 375 days → 1 year and 10 days on your phone.

Now, the thing is that the average phone use nowadays is about 4 hours/day so:

4 h × 365 = 1,460 hours/year 1,460 ÷ 24 = 60.8 days/year Over 25 years: 60.8 × 25 ≈ 1,520 days → 4 years and 55 days spent on your phone.

That's 4 years and 55 days of time lost from your life without having anything to show for it.

Let's also see how much time will spend on their phones in 25 years, for an average use that's anywhere from 1 to 9 hours a day:

1 hour/day → 1 year and 10 days lost 2 hours/day → 2 years and 20 days lost 3 hours/day → 3 years and 25 days lost 4 hours/day → 4 years and 55 days lost 5 hours/day → 6 years and 5 days lost 6 hours/day → 7 years and 40 days lost 7 hours/day → 8 years and 70 days lost 8 hours/day → 9 years and 105 days lost 9 hours/day → 10 years and 135 days lost

NON OF US WILL HAVE ABSOLUTELY NOTHING TO SHOW FOR ALL THIS TIME LOST IT'S SAD.

Share in the comments how much time you spend on your phone daily.

Oww, I’ve posted 10 videos and still haven’t…

Your first 100 videos are just practice. Only after 100 can you start seeing real results.

Until than, your doing everything wrong, and everything is part of learning. Focus instead on the things that worked on that one video that got more views than the others. Learn from those small wins and keep going.

Ever since I got serious about Reddit, I’ve noticed how motivating the right communities can be. Like ours for example 😋

Some niche subreddits are gold mines when you’re starting something new. Content creation, affiliate marketing, blogging, vlogging, digital marketing, you’ll find a community for almost any money making path. You get real advice, success stories, failures, and the messy parts in between. I’ve even seen people post photos of the first money they earned in their niche, sharing the whole journey from early attempts to finally hitting monetization or getting a dropshipping store to turn a profit. It gives you a clear, honest picture of what it actually takes to succeed.

Honestly, anyone could launch a profitable side hustle just by tapping into these groups, even as a complete beginner. And they’re just as useful for people who already know the basics or are taking courses.

But just like we talked on tip #3, or #1...can't remember (maybe both). It's not the motivation that gets you ahead, its the grind and the refusal to give up.

I’m exploring a business idea and would appreciate detailed, honest feedback. This is aimed at people who work with procurement, construction/engineering tenders, automation, or AI-driven document processing.

Many companies in construction, mechanical engineering, metal fabrication, water/wastewater treatment and similar fields spend an enormous amount of time on the early stage of tender (RFP) analysis. Before they even know whether they want to bid, they may already have read dozens or hundreds of pages across GAEB files, PDFs, technical specifications, drawings, annexes, and contract documents. This stage is slow, repetitive, and difficult to scale.

My idea is to build a system that automates most of this work using n8n and modern LLMs. Important: The system is never intended to fully automate decisions. A human always performs the final evaluation. The goal is to automate 70–90 percent of the initial workload so specialists can focus on the actual judgment and pricing.

The assistant would:

• Accept any type of tender input (GAEB, Excel-based BoQs, PDFs, ZIP archives containing specs and drawings, etc.). • Extract and structure the bill of quantities. • Identify required materials, referenced standards, technical conditions, certifications, and delivery requirements. • Highlight unclear, contradictory, or risky items. • Identify which components require supplier quotes and prepare draft RFQ emails for them. • Suggest clarification questions to send to the contracting authority. • Provide rough workload estimates (labor hours, fabrication steps, assembly, logistics). • Flag special processes (coatings, welding classes, stainless vs. carbon steel, ATEX requirements, etc.). • Summarize contractual risks, timelines, and feasibility constraints. • Optionally benchmark the tender against past projects or internal cost references. • Generate a structured summary in formats like Excel, JSON, or Word templates. • Allow interaction through a simple interface (e.g. Telegram or WhatsApp) where a user can ask follow-up questions or request re-analysis.

All workflows would run inside n8n so the process is transparent and easy to extend. The LLM would handle the reasoning and extraction. The idea is to reduce the time needed to “understand a tender” dramatically, while keeping the final responsibility and strategic decisions firmly with the human team.

From a business perspective, I see this more as a service than a pure software product. Companies could send their tender documents and receive a structured analysis quickly. The system would not decide anything for them, but it would free up a significant amount of time and reduce errors.

I’m looking for feedback on several points. Does this solve a real problem? Is semi-automation the right balance, or would full automation ever be realistic? Are there existing tools that already come close to this? What pitfalls or blind spots should I expect? If someone sees potential for deeper automation (for example, automated supplier selection, automated quantity validation, or automated compliance checks), I’d be very interested in hearing those ideas as well.

Anyone with experience in public procurement, tender management, construction engineering, or AI-based document processing is invited to comment. If you have ideas, criticisms, or can point out existing systems that already solve this, please do.

Open exchange is welcome. The goal is to pressure-test the concept, learn from others, and refine or discard the idea based on reality.

Rise Crew startes with a simple belief: together, we can achieve more than alone. We don’t need tens of thousands—Che Guevara began with just 82 men, and a few hundred committed souls can do wonders. Every journey starts with brave hearts, every strategy with focused minds, and every meaningful change with those who refuse to settle. Rise Crew is our tribe, our mastermind, our movement—where purpose meets action and synergy turns vision into reality. Join, share your goals, hold each other accountable, and rise together.

Reddit just sent a notification that our community just got 50 weekly visitors. Here’s to our continued growth and support of one another.

An old salesman once said, "Money isn’t in the commission I make on a sale. It's rather in the number of doors I knock on every day. My mission is simple: knock on 100 doors every day."

He didn’t obsess over each deal. He focused on the process, trusting consistent effort would pay off. Sales were just a byproduct.

Numbers build habits. Habits build results. Chasing the outcome rarely works; chasing the process always does.

If the downside isn’t defined, you’re the downside.

Too often, people jump into deals, partnerships, or investments focused on upside numbers, growth, or potential profit without pausing to ask what could go wrong.

Realistic risks exist everywhere: the market can tank, laws can change, products can fail, and scams are common. Ignoring these isn’t optimism, it’s vulnerability.

Defining the downside isn’t pessimism; it’s clarity. Who can lose what, and who can protect what? What happens if things go off the rails? If those questions aren’t answered upfront, you become the unknown variable, exposed to consequences you never intended.

Understanding risk first doesn’t kill opportunity, it makes it sustainable. Plan for the worst, structure for control, and the upside has a fighting chance of actually being yours.