What I’ve learned in 20+ years of building startups

What I've learned in 20+ years of building startups.
DjamgaMind - AI Unraveled Podcast

DjamgaMind: Audio Intelligence for the C-Suite (Energy, Healthcare, Finance)

Are you drowning in dense legal text? DjamgaMind is the new audio intelligence platform that turns 100-page healthcare or Energy mandates into 5-minute executive briefings. Whether you are navigating Bill C-27 (Canada) or the CMS-0057-F Interoperability Rule (USA), our AI agents decode the liability so you don’t have to. 👉 Start your specialized audio briefing today at Djamgamind.com


AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

Job TitleStatusPay
Full-Stack Engineer Strong match, Full-time $150K - $220K / year
Developer Experience and Productivity Engineer Pre-qualified, Full-time $160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract) Contract $90 / hour
DevOps Engineer (India) Full-time $20K - $50K / year
Senior Full-Stack Engineer Full-time $2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India Contract $20 - $30 / hour
Senior Software Engineer Contract $100 - $200 / hour
Senior Software Engineer Pre-qualified, Full-time $150K - $300K / year
Senior Full-Stack Engineer: Latin America Full-time $1.6K - $2.1K / week
Software Engineering Expert Contract $50 - $150 / hour
Generalist Video Annotators Contract $45 / hour
Generalist Writing Expert Contract $45 / hour
Editors, Fact Checkers, & Data Quality Reviewers Contract $50 - $60 / hour
Multilingual Expert Contract $54 / hour
Mathematics Expert (PhD) Contract $60 - $80 / hour
Software Engineer - India Contract $20 - $45 / hour
Physics Expert (PhD) Contract $60 - $80 / hour
Finance Expert Contract $150 / hour
Designers Contract $50 - $70 / hour
Chemistry Expert (PhD) Contract $60 - $80 / hour

What I’ve learned in 20+ years of building startups…

In the fast-paced world of startups, two decades of experience can teach you invaluable lessons. From the trenches of entrepreneurial ventures, here are the distilled wisdom and key takeaways from a seasoned startup veteran’s 20-plus-year journey.

What I've learned in 20+ years of building startups
What I’ve learned in 20+ years of building startups

What I’ve learned in 20+ years of building startups – Summary: The journey of building startups for over 20 years has yielded several crucial lessons:

  1. Fail Well: Failure is a common part of the startup process, with success in only a fraction of attempts. It’s important to accept failure as a stepping stone.
  2. Persistence: The key to overall success often lies in sheer perseverance and the refusal to quit, even in the face of early failures.
  3. The Power of ‘No’: Turning down opportunities, especially during financially tough times, is crucial to avoid burnout and stay true to your goals.
  4. Work Smart and Hard: While enjoying your work is vital, readiness to put in extra effort when needed is equally important.
  5. Start Slowly: For new businesses, especially online, it’s advisable to start small and avoid getting entangled in bureaucracy before proving the business model.
  6. Be Cautious with Growth: Rapid expansion can lead to financial strain. It’s better to grow at a sustainable pace.
  7. Avoid Corporate Pitfalls: As businesses grow, maintaining a customer-centric and enjoyable work culture is essential, avoiding the trap of becoming overly corporate.
  8. Embrace Remote Work: If possible, allowing remote work can save costs and increase employee productivity.
  9. Simplicity in Tools: Using too many apps and tools can be counterproductive. Stick to a few that work best for your team.
  10. Maintain Relationships: Keeping doors open with past collaborators is crucial, as business landscapes and relationships are ever-changing.

What I’ve learned in 20+ years of building startups – Lessons Learned in Detail

  1. Fail Well. You’ve heard it a million times before: ideas are easy; execution is hard. Execution is incredibly hard. And even if something works well for a while, it might not work sustainably forever. I fail a lot. I’d say my ideas are successful maybe 2/10 times, and that’s probably going easy on myself.

  2. Keep Going. The difference between overall success and failure, is usually as simple as not quitting. Most people don’t have the stomach for point #1 and give up way too quickly.

  3. Saying No. Especially if you didn’t have a particularly good month and it’s coming up on the 1st (bill time), it’s hard to say “No” to new income, but if you know it’s something you’ll hate doing, it could be better in the long-run to not take it or else face getting burnt out.

  4. Work Smart (and sometimes hard). I would hazard to guess that most of us do this because we hate the limitations and grind of the traditional 9-5? Most of us are more likely to be accused of being workaholics rather than being allergic to hard work, but it certainly helps if you enjoy what you do. That said, it can’t be cushy all the time. Sometimes you gotta put in a little elbow grease.

  5. Start Slow. I’ve helped many clients start their own businesses and I always try to urge them to pace themselves. They want instant results and they put the cart before the horse. Especially for online businesses, you don’t need a business license, LLC, trademark, lawyer, and an accountant before you’ve even made your first dollar! Prove that the thing actually works and is making enough money before worrying about all the red tape.

  6. Slow Down Again (when things start to go well). Most company owners get overly excited when things start to go well, start hiring more people, doing whatever they can to pour fuel on the fire, but usually end up suffocating the fire instead. Wait, just wait. Things might plateau or take a dip and suddenly you’re hemorrhaging money.

  7. Fancy Titles. At a certain stage of growth, egos shift, money changes people. What was once a customer-centric company that was fun to work at becomes more corporate by the day. Just because “that’s the way they’ve always done it” in terms of the structure of dino corps of old, that’s never a good reason to keep doing it that way.

  8. Stay Home. If your employee’s work can be done remotely, why are you wasting all that money on office space just to stress your workers out with commute and being somewhere they resent being, which studies have shown only make them less productive anyway?

  9. Keep it Simple. Don’t follow trends and sign you or your team up for every new tool or app that comes along just because they’re popular. Basecamp, Slack, Signal, HubSpot, Hootsuite, Google Workspace, Zoom (I despise Zoom), etc. More apps doesn’t mean more organization. Pick one or two options and use them to their full potential.

  10. Keep Doors Open. While you’ll inevitably become too busy to say “Yes” to everything, try to keep doors open for everyone you’ve already established a beneficial working relationship with. Nothing lasts forever, and that might be the lesson I learned the harshest way of all. More on that below…


What I’ve learned in 20+ years of building startups: A personal note that might be helpful to anyone who’s struggling

Some years back (around 2015), we sold the company my partner and I built that was paying our salaries. During those years, I closed a lot of doors, especially with clients because I was cushy with my salary, and didn’t want to spend time on other relationships and hustles I previously built up over the years.

I had a really rough few years after we sold and the money ran out where I almost threw in the towel and went back to a traditional 9-5 job. I could barely scrape rent together and went without groceries for longer than I’m comfortable admitting.

There’s no shame in doing what you’ve gotta do to keep food on the table, but the thought of “going back” was deeply depressing for me. Luckily, I managed to struggle my way through, building up clients again.

What I’ve learned in 20+ years of building startups – Conclusion:

Navigating the world of startups requires a balance of resilience, strategic decision-making, and adaptability. The lessons learned over two decades in the startup ecosystem are not just strategies but guiding principles for sustainable success and growth in the dynamic world of entrepreneurship.


If you’re curious about how I make money, most of it has been made building custom products for WordPress.

AI-Powered Professional Certification Quiz Platform
Crack Your Next Exam with Djamgatech AI Cert Master

Web|iOs|Android|Windows

Are you passionate about AI and looking for your next career challenge? In the fast-evolving world of artificial intelligence, connecting with the right opportunities can make all the difference. We're excited to recommend Mercor, a premier platform dedicated to bridging the gap between exceptional AI professionals and innovative companies.

Whether you're seeking roles in machine learning, data science, or other cutting-edge AI fields, Mercor offers a streamlined path to your ideal position. Explore the possibilities and accelerate your AI career by visiting Mercor through our exclusive referral link:

Find Your AI Dream Job on Mercor

Your next big opportunity in AI could be just a click away!

Source: r/Entrepreneur

What I’ve learned in 20+ years of building startups – References:

  1. Entrepreneurship Blogs and Websites: Look for blogs from successful entrepreneurs or business coaches. Sites like Entrepreneur (entrepreneur.com), Forbes Entrepreneurs Section (https://forbes.com/entrepreneurs), and Harvard Business Review (hbr.org) often have valuable articles on startup strategies and entrepreneurial journeys.
  2. Startup Case Studies: Websites like Inc. Magazine (inc.com) and Fast Company (fastcompany.com) frequently publish case studies and stories about startups and entrepreneurial experiences.
  3. Business and Tech News Websites: Platforms like TechCrunch (techcrunch.com), Business Insider (businessinsider.com), and The Wall Street Journal’s Business section (https://wsj.com/news/business) are good for staying updated on the latest in startup trends and business strategies.
  4. Remote Work and Productivity Tools Blogs: For insights on remote work and productivity tools, check out blogs from companies like Basecamp (basecamp.com), Slack (https://slack.com/blog), and Zoom (blog.zoom.us).
  5. Online Business Forums and Communities: Websites like Reddit’s Entrepreneur subreddit (https://reddit.com/r/Entrepreneur) or startup-focused forums on sites like Quora (quora.com) can provide real-world advice and experiences from various business owners.
  6. LinkedIn Articles and Thought Leaders: Following successful entrepreneurs and business thought leaders on LinkedIn can provide you with a plethora of insights and firsthand accounts of business experiences.
  7. Business and Entrepreneurship Books: Websites of authors who have written extensively on startups and entrepreneurship, such as Guy Kawasaki or Seth Godin, often have blogs and articles that are invaluable to entrepreneurs.

Examining the Fragmented Data on Black Entrepreneurship in North America

Entrepreneur Our community brings together individuals driven by a shared commitment to problem-solving, professional networking, and collaborative innovation, all with the goal of making a positive impact. We welcome a diverse range of pursuits, from side projects and small businesses to venture-backed startups and solo ventures. However, this is a space for genuine connection and exchange of ideas, not self-promotion. Please refrain from promoting personal blogs, consulting services, books, MLMs, opinions.

  • Catch disguised promo comments before they look genuinely helpful -- Open-source!!
    by /u/Outrageous_Guess_962 on March 7, 2026 at 3:20 pm

    Has anyone else noticed an uptick in comments/posts that start like normal advice but slowly turn into a subtle pitch? I keep wasting time reading threads only to realize halfway through that it was basically stealth marketing (or something bot like) disguised as a genuine recommendation. What do u think of a small Chrome extension as a portfolio project that adds a lightweight “promo-likelihood” hint on Reddit posts/comments so you can decide faster whether a thread is worth your attention. Before I put more time into it: would you personally find that useful, or would the false-positives/extra UI make it more annoying than helpful? Issue is: . How do I market it? And test demand? I am doing it as a portfolio project ( 17 year old here) so I dont mind not making money from it. But my marketing avenues are limited and those that exist (like reddit posts for example) am going in the exact opposite direction by giving a solution while causing the problem. Could you give me your take on this? submitted by /u/Outrageous_Guess_962 [link] [comments]

  • Agency people how are you not losing your mind over client approvals?
    by /u/ConsciousArachnid636 on March 7, 2026 at 2:34 pm

    I don't come from an agency background so maybe I'm missing something obvious here. But I've been talking to a lot of agency owners over the past few months and one thing keeps coming up the approval process is just completely broken and everyone seems to have just... accepted it. The one that got me was this: a guy spent 3 weeks on a project. Client approved it. They went to production. Client then comes back saying that's not what they wanted turns out they had approved version 2 by mistake. The final was version 7. Three weeks of work. One email thread. Nobody knew which version was which. I genuinely don't understand how this is still the default in 2025. Is it just emails forever? How are you guys actually handling this? submitted by /u/ConsciousArachnid636 [link] [comments]

  • Is the Venture Capital and Private Equity markets stuck?
    by /u/AnalyticsDepot--CEO on March 7, 2026 at 12:02 pm

    I keep hearing from people how the SaaS, commercial real estate, fixed income markets are dead because of AI and because the VC and PE is heavily invested with circular financing (yes the same $ is shared by 100s of funds, shocker) with no salvation on the horizon, they have to invade other countries to seize their resources and get free inventory. Is this true? Is the overleveraged VC and PE markets screwed? Has Humpty Dumpty really taken the proverbial fall? Happy Saturday everyone. submitted by /u/AnalyticsDepot--CEO [link] [comments]

  • I'm here to test my Assumption
    by /u/LeiraGotSkills on March 7, 2026 at 8:04 am

    I'm building a quick tool that gives business owners a free diagnosis in 5-8 minutes. It pinpoints what's Stopping you from hitting monthly revenue goals. Exactly what's holding you back and Shows the adjustments needed. You get: -A clear report on the core issue -A simple roadmap to fix it -Ongoing daily guidance until you reach your target No strings attached, no sales pitch. Does anyone in here would be interested to try it? submitted by /u/LeiraGotSkills [link] [comments]

  • Took a two-week vacation. Nothing broke. That was more terrifying than if it had.
    by /u/SimonBuildsStuff on March 7, 2026 at 1:11 am

    Just got back from properly unplugging for the first time in three years. No Slack on phone. No "quick check-ins." Fully out. The business ran fine. Revenue came in. Support tickets got handled. Nothing caught fire. My first reaction was relief. My second reaction was something closer to existential dread. If the company runs perfectly without me for two weeks, what exactly am I contributing? Talking to other founders about this and the pattern seems consistent. We spend years trying to build systems that don't depend on us, then feel weirdly displaced when we succeed. The honest answer I landed on: my job isn't to be necessary for daily operations. It's to be necessary for the decisions that haven't happened yet. Strategy. Hiring. Capital. The stuff that doesn't surface in a two-week window. But it took some processing to get there. Anyone else dealt with this? The transition from "if I stop, it stops" to "it runs without me" is harder than I expected psychologically. submitted by /u/SimonBuildsStuff [link] [comments]

  • Anyone rely on newsletters to grow their business?
    by /u/bookflow on March 6, 2026 at 11:33 pm

    Yep just looking to find out who uses newsletters to grow their business. submitted by /u/bookflow [link] [comments]

  • I tracked which marketing channels actually make money vs just send traffic. The results surprised me.
    by /u/decebaldecebal on March 6, 2026 at 6:55 pm

    I sell a $39 digital product. After a month of marketing across every channel I could find, I finally sat down and looked at where the money actually came from. 387 total visitors. 3 sales. $117 revenue. Here's the breakdown: X/Twitter: 107 visitors (28% of all traffic). Zero sales. Reddit: 32 visitors (8% of traffic). 2 sales. Indie Hackers: 22 visitors (6%). 1 sale. Hacker News: 24 visitors (6%). Zero sales. LinkedIn: 24 visitors (6%). Zero sales. Google: 18 visitors (5%). Zero sales. So X sent me the most traffic by far. And produced nothing. Reddit sent a quarter of what X did and produced two thirds of my revenue. The conversion rate on Reddit traffic was 6.25%. On X it was 0%. Same product. Same landing page. Same price. Completely different results. I think I know why. On X, my followers are mostly developers. They like my content about coding and building stuff. I thought they have the problem my product solves, but that doesn't seem to be the case. On Reddit, I'm finding people in threads where they're actively asking about the exact problem I built a solution for. They show up already wanting help. I also tried cold DMs. 35 sent across platforms. 31% replied, which is way above what I expected. One of those converted into a sale. That's a 2.9% close rate from cold outreach, which honestly surprised me more than anything else. Other things I didn't expect: my top traffic country was the UK (86 visitors), not the US (65). Still not sure why. And my bounce rate is 84%, which means most people land on my page and leave immediately. That's a problem I haven't solved yet. The takeaway for me was simple. I was spending equal time across all channels because I was tracking visitors, not revenue. Once I broke it down by channel, the decision was obvious. Cut the hours on X, double down on Reddit and community stuff, and send more cold DMs. Are you tracking which channels send traffic vs which ones actually bring in money? Because the answer might not be what you think. submitted by /u/decebaldecebal [link] [comments]

  • Does anyone actually plan their finances monthly?
    by /u/ExactEducator7265 on March 6, 2026 at 4:26 pm

    Almost every budgeting tool I’ve tried assumes people think about money in monthly budgets. Monthly income, monthly expenses, categories for everything. But the way I’ve always handled money never really worked like that. The real question in my head every time I got paid was always simpler: which bills does this paycheck need to cover, and what will be left after that? For years I handled it with a pretty ugly spreadsheet. I would block out pay periods and then drop bills into the week they were due so I could see which paycheck was really covering what. That way I could look ahead and see if things were going to be tight before the next check came in. It worked surprisingly well, but the spreadsheet itself became a pain. Months shift around, some months have more paychecks than others, bills move a little depending on the calendar, and I kept having to manually adjust things. At some point I realized the core problem wasn’t really budgeting. It was just timing. Money shows up on a schedule, bills show up on their own schedules, and the real question is whether those two timelines line up. The spreadsheet did the job, but maintaining it became enough of a chore that I eventually started building a small local app to automate a lot of that flow for myself. Now I’m curious how other people actually think about this. Do you mentally manage things month to month, or more paycheck to paycheck? submitted by /u/ExactEducator7265 [link] [comments]

  • Opening a store? Start with your customers, not the lease price
    by /u/LucasMyTraffic on March 6, 2026 at 4:11 pm

    Hey y'all! I wanted to make a small post because I see people struggling with this issue daily. When people look for a store location, it's very easy to just compare leases, pick the best price, and call it a day. But there's one thing that often gets forgotten. Where exactly is it located ? You can have two stores on opposite ends of a street and they'll attract wildly different visitors. When you open a location (store, restaurant, coffee shop, thrift store, ...), start by asking yourself who is actually going to be your clientele. Is it going to be students ? Then look for a lease near a university. Is it going to be stay at home moms ? Then look for a lease near a target or a kindergarten. Location is unfortunately one of those early decisions you can't go back on, yet it's one of the most important factors in how quickly you reach your break-even point and your long-term growth. submitted by /u/LucasMyTraffic [link] [comments]

  • Are small businesses using ai agents for their businesses?
    by /u/Able_War1 on March 6, 2026 at 1:48 pm

    so many new products which helps with automations like email responses, content creation, lead gen etc. just curious and looking to integrate ai agents in my own workflow. how solo/small businesses owners using ai agents to automate their workflows? submitted by /u/Able_War1 [link] [comments]

  • How Entrepreneurs Are Using AI Automation to Save Time and Scale Faster
    by /u/Pro_Automation__ on March 6, 2026 at 1:09 pm

    Many entrepreneurs spend hours on repetitive work like replying to messages, scheduling calls, and handling basic customer support. AI automation is helping reduce this workload and keep operations running smoothly. ● Answers common customer questions instantly ● Automates appointment booking and follow-ups ● Works 24/7 without extra staff ● Reduces operational costs ● Lets founders focus on growth and strategy Even small automation setups can save many hours every week and improve customer response time. For growing businesses, this can make a real difference. submitted by /u/Pro_Automation__ [link] [comments]

  • Anyone else feel like ads look good in the dashboards but the real sales do not match
    by /u/luihgi on March 6, 2026 at 12:29 pm

    Meta Google and GA4 all show different conversion counts, so scaling feels like guessing. Some days spend goes up and orders barely move, and I cannot tell if it is performance or tracking. I tried a server side setup with Metrion and it made things consistent. How are you handling this right now. Do you just treat Shopify as the source of truth and use platform numbers as directional? submitted by /u/luihgi [link] [comments]

  • I analyzed 12,000 YouTube comments on a business podcast. Here's how skeptical viewers actually are about income claims.
    by /u/recmend on March 6, 2026 at 10:15 am

    I've been building a tool that analyzes YouTube channels data: comments, transcripts, sentiment. ran it on thebrettway (a podcast that interviews young founders making $10K-$2.4M/month) the raw numbers 69 videos analyzed 12,043 total comments 52 comments explicitly questioned whether income claims were real those 52 comments received 3,650 total likes that's 70 likes per skepticism comment vs the channel average the most-liked skepticism comment (306 likes): brett could you start making the guests prove that they make this money? Because to me it just seems like Blake was throwing numbers around especially when his app reviews are dog shit. the second most-liked (237 likes): As an actual programmer who has used the tools you guys speak of I can say you're definitely selling pipe dreams Overall channel sentiment is 62% positive, 23% neutral, 15% negative. skeptics are a minority. Looking at which founder videos had the lowest skepticism: founders who showed their dashboard or Stripe screenshots on camera founders with verifiable products (you can check their app store reviews, website traffic) founders who talked about specific failures, not just wins the ones who got the most pushback: vague revenue claims, no product shown, pivot to selling a course. submitted by /u/recmend [link] [comments]

  • Feedback Friday! - March 06, 2026
    by /u/AutoModerator on March 6, 2026 at 10:01 am

    Need help with your website or portfolio? Want advice from other entrepreneurs on what you could improve? Share your stuff here and get feedback from our community. Since this thread can fill up quickly, consider sorting the comments by "new" (instead of "best" or "top") to see the newest posts. submitted by /u/AutoModerator [link] [comments]

  • Anyone who has experience in selling software products to QSR?
    by /u/HurricanAashay on March 6, 2026 at 9:52 am

    About to launch a product, looking for tips and collaboration for this sector. Product itself is sector agnostic, but QSR would be a big industry. The product is a solution for front-line workers training. submitted by /u/HurricanAashay [link] [comments]

  • Took a 10-day vacation and nothing broke. That scared me more than if it had.
    by /u/ElDiegod on March 6, 2026 at 9:50 am

    first real vacation in 3 years. left my restaurant with my sous chef in charge. phone on silent. told myself id check in once a day max. didn not need to. everything ran fine. sales were actually up 6% that week compared to the same week last month. no call-outs. no emergencies. one small equipment issue that got handled without me knowing until i got back. i should have felt proud. instead i felt kind of sick. because if the place runs fine without me, what exactly am i doing there every day? was i just getting in the way? is my daily involvement actually net negative? took me a while to reframe it. the years of grinding and fixing and building systems, the vacation working IS the result. the goal was never to be irreplaceable. it was to build something that does not need me hovering. but man, that first realization hit different. anyone else felt that weird emptiness when you realize your business grew past you? submitted by /u/ElDiegod [link] [comments]

  • What is a skill you can learn within 30 days that can actually make money?
    by /u/TheSoleAudience on March 6, 2026 at 7:32 am

    If someone had 30 days to learn one skill from the internet and start making money with it, what would you recommend? Not something that takes years to master. Something realistic that a beginner could learn fast and use to get their first paying client or sale. What skill would you choose and how would you start using it to earn? submitted by /u/TheSoleAudience [link] [comments]

  • Visa vs. Mastercard: What Every Fintech Founder Learns the Hard Way About the Payments Duopoly
    by /u/Sea-Environment-5938 on March 6, 2026 at 7:29 am

    Hey everyone, I've been building a payments platform focused on cross-border remittances for small businesses in emerging markets (mainly SEA and LATAM). While researching the landscape, I ended up digging through Visa and Mastercard’s latest numbers and it was a pretty humbling reminder of just how dominant these two networks are. Here’s a quick snapshot from their FY2023 reports: Metric Visa Mastercard Revenue $35.93B $28.17B Net Profit $19.74B $12.87B Cards in Use 4.48B 3.16B Employees 34,100 35,300 Accepted Countries 200+ 210+ Net Profit Margin 54.9% 45.7% Revenue per Employee $1.05M $799K Revenue per Card $8.02 $8.92 A few things jumped out immediately: Visa dominates scale and efficiency. Their margins are wild, over 50% profit margin on payment rails.. Mastercard squeezes more value per card, likely through premium partnerships and data-driven services. Together they control an almost unavoidable infrastructure layer of global commerce. For founders trying to build anything in payments or fintech, this creates some very real challenges. 2. The Network Effect is Brutal: Between them, Visa and Mastercard have over 7.6 billion cards in circulation. Merchants expect them. Consumers trust them. So when a startup shows up with a new payment rail, even if it’s cheaper or faster, the response is usually: "Sounds interesting but will my customers actually use it?" We’ve spent months convincing pilot partners that a 1% fee improvement isn’t worth the perceived risk of leaving the standard networks. 2. Regulation Is a Moat in Itself: Payment infrastructure is deeply regulated, and the rules change constantly. Whether it’s PSD2/PSD3 in Europe, RBI rules in India, or licensing in Brazil, the legal and compliance costs pile up quickly. One regulatory mistake can burn hundreds of thousands before you even launch. Meanwhile, the incumbents have entire teams dedicated to regulatory strategy and lobbying. 3. Building The Team Is Harder Than the Tech: Scaling a payments company isn’t just about writing code. It’s fraud systems, compliance workflows, partner integrations, settlement infrastructure, and more. You’re competing for talent with Big Tech and large fintech companies that offer more stability. And when something breaks, it’s usually the founders debugging it at 2AM. 4. Innovation Often Happens Around the Edges: Visa and Mastercard do innovate, tokenization, real-time push payments, blockchain pilots, but they still control the core rails. That means most startups end up building around the network, not replacing it. The real opportunities seem to be in areas like: Embedded finance Cross-border B2B payments Stablecoin rails and Web3 wallets Serving underbanked markets Verticalized payment platforms But even then, many solutions eventually plug back into the traditional networks somewhere. My question for other founders here: If you're building in fintech or payments, where have you found the real opportunity? Have you managed to build something independent of the Visa/Mastercard ecosystem, or is the smarter strategy to work alongside it? Would love to hear the war stories. submitted by /u/Sea-Environment-5938 [link] [comments]

  • What did your growth curve actually look like? The grind vs the explosion?
    by /u/GmailsAreCute on March 6, 2026 at 3:06 am

    I'm in that phase right now where getting each individual client feels like pulling teeth. Closing client 1, then 2, then 3, just fighting for every single one. But I keep hearing from people who've scaled past that point that at some point it just... flips. Like you go from begging for clients to suddenly having 5, then 10, then 15, then you can barely keep up with demand. For those of you who've been through it, what did that actually look like? How long were you grinding at 1 to 3 clients before things started compounding? Was there a specific moment or milestone where the growth curve bent and suddenly you were adding clients way faster than before? Curious what industry you're in, what you sell (product or service), and what you think actually caused the shift. Was it just volume? Referrals kicking in? A reputation thing? Something you changed in your process? Not looking for the highlight reel, genuinely want to know what that transition felt like and how long the slow part lasted before it stopped being slow. submitted by /u/GmailsAreCute [link] [comments]

  • Best prompts for evaluating an acquisition opportunity?
    by /u/dabusinessbro on March 6, 2026 at 1:55 am

    I’ve been reviewing CIMs and getting opinions from the AI gods on what to ask, identifying blind spots, validating with market research, etc. Pretty helpful. Still working on a refining my prompt though. Anybody that looks at businesses often care to share the prompt they use to help evaluate a business acquisition opportunity? Would be cool to crowd source the prompt to prompt all prompts. submitted by /u/dabusinessbro [link] [comments]

Examining the Fragmented Data on Black Entrepreneurship in North America

Has Africa fully embraced hybrid teams, digital workspace and the use of remote workers?
DjamgaMind - AI Unraveled Podcast

DjamgaMind: Audio Intelligence for the C-Suite (Energy, Healthcare, Finance)

Are you drowning in dense legal text? DjamgaMind is the new audio intelligence platform that turns 100-page healthcare or Energy mandates into 5-minute executive briefings. Whether you are navigating Bill C-27 (Canada) or the CMS-0057-F Interoperability Rule (USA), our AI agents decode the liability so you don’t have to. 👉 Start your specialized audio briefing today at Djamgamind.com


AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

Job TitleStatusPay
Full-Stack Engineer Strong match, Full-time $150K - $220K / year
Developer Experience and Productivity Engineer Pre-qualified, Full-time $160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract) Contract $90 / hour
DevOps Engineer (India) Full-time $20K - $50K / year
Senior Full-Stack Engineer Full-time $2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India Contract $20 - $30 / hour
Senior Software Engineer Contract $100 - $200 / hour
Senior Software Engineer Pre-qualified, Full-time $150K - $300K / year
Senior Full-Stack Engineer: Latin America Full-time $1.6K - $2.1K / week
Software Engineering Expert Contract $50 - $150 / hour
Generalist Video Annotators Contract $45 / hour
Generalist Writing Expert Contract $45 / hour
Editors, Fact Checkers, & Data Quality Reviewers Contract $50 - $60 / hour
Multilingual Expert Contract $54 / hour
Mathematics Expert (PhD) Contract $60 - $80 / hour
Software Engineer - India Contract $20 - $45 / hour
Physics Expert (PhD) Contract $60 - $80 / hour
Finance Expert Contract $150 / hour
Designers Contract $50 - $70 / hour
Chemistry Expert (PhD) Contract $60 - $80 / hour

Examining the Fragmented Data on Black Entrepreneurship in North America

The data surrounding Black entrepreneurship in the United States and Canada is fragmented. This means that it is difficult to assess the number of Black-owned businesses and their economic impact accurately. To make sure that we are able to get an accurate picture of the state of Black entrepreneurship in these two countries, it is essential to find ways to standardize data collection and assessment.

Despite the significant contributions of Black entrepreneurs and business owners, there is a lack of reliable data for assessing their economic and financial impact. The existing information is often inconsistent, misinterpreted, or incomplete. This blog post will examine the current state of Black entrepreneurship in North America, identify where there are gaps in the available data, and propose some methods to standardize measures and assessments.

Data Gaps in North America

What are some good datasets for Data Science and Machine Learning?
Data Sciences – Data Analytics: Examining the Fragmented Data on Black Entrepreneurship in North America

The existing data on Black entrepreneurship in North America is fragmented across different sources. To begin with, there is no common definition or classification system used to measure Black-owned businesses. In addition, many studies rely on self-reported data which can be unreliable due to issues such as survey fatigue or respondent bias. Moreover, most of the available statistics are focused on businesses owned by African Americans rather than other ethnicities that comprise the broad category of “Black” such as Afro-Caribbeans or Afro-Latinos. Consequently, there is a need for more comprehensive data that includes all ethno-racial groups within this category.

In addition, access to capital remains a major barrier for Black entrepreneurs which further complicates our understanding of these businesses. Financing options are limited due to systemic racism and discrimination that have prevented many from obtaining traditional loans from banks or other private lenders. Therefore it is important to consider alternative financing sources when analyzing the financial health of these businesses.

Data Collection Challenges

Collecting accurate data on Black entrepreneurship can be challenging due to a lack of reliable sources. Many government agencies collect data on businesses by size, industry sector, ownership type, or geographic location; however, these categories often do not provide enough information about the demographics of business owners or their employees. Furthermore, some agencies may not collect any demographic information at all. As a result, there is no single source of comprehensive and consistent information on Black entrepreneurs in either country.

The Need for Standardized Data Collection

In order to assess the impact that Black entrepreneurs have on their communities and economies, it is necessary to be able to access accurate data regarding their presence. Unfortunately, currently available data does not provide a comprehensive view of this information. It is therefore important for policy makers, government officials, entrepreneurs, students, and other relevant stakeholders to work together to find solutions that will allow us to collect accurate data on Black-owned businesses across the two countries.

AI-Powered Professional Certification Quiz Platform
Crack Your Next Exam with Djamgatech AI Cert Master

Web|iOs|Android|Windows

Are you passionate about AI and looking for your next career challenge? In the fast-evolving world of artificial intelligence, connecting with the right opportunities can make all the difference. We're excited to recommend Mercor, a premier platform dedicated to bridging the gap between exceptional AI professionals and innovative companies.

Whether you're seeking roles in machine learning, data science, or other cutting-edge AI fields, Mercor offers a streamlined path to your ideal position. Explore the possibilities and accelerate your AI career by visiting Mercor through our exclusive referral link:

Find Your AI Dream Job on Mercor

Your next big opportunity in AI could be just a click away!

Standardizing Measures and Assessments

To standardize measures and assessments of Black entrepreneurship, it is essential to develop a unified definition and classification system across jurisdictions as well as consistent methods for collecting data. It should also include specific questions about race/ethnicity that allow researchers to collect more detailed information about each group’s particular needs and challenges. Furthermore, reliable baseline data should be collected regularly so that progress can be tracked over time. Finally, it will be important to focus not only on traditional sources of financing but also alternative funding options such as crowdfunding platforms or angel investors who may provide more accessible financing options for some entrepreneurs.

Methods for Standardizing Data Collection

One way that we can begin standardizing data collection on Black-owned businesses is by creating a unified database of business owners that includes information such as location, industry type, number of employees, annual revenue, etc. This would make it easier for researchers and policy makers to assess the economic impact of these businesses with more accuracy than is currently possible with fragmented data sources. Additionally, conducting surveys and interviews with business owners can also help us better understand how they operate their businesses and what challenges they face when trying to grow their companies.

Another method that could be used is by increasing access to capital for these entrepreneurs through public-private partnerships or other initiatives focused on providing them with the resources they need in order to grow their businesses. This could include grants or low interest loans which would give them more financial stability and enable them to expand their operations or hire additional employees if needed. Finally, implementing education programs specifically designed for aspiring Black entrepreneurs could also help bridge some of the gaps in knowledge that many start up founders may have when starting a business.

Conclusion:

In conclusion, we must recognize the importance of reliable data when assessing the economic impact of Black entrepreneurship in North America as well as identifying opportunities for growth and improvement within this sector. While there are still gaps in our knowledge about this subject matter, standardized measures and assessments can help us fill those gaps and gain a better understanding of how best to support these businesses going forward. With better access to capital and resources tailored specifically towards their needs, we can ensure that Black entrepreneurs continue making valuable contributions to our economies both now and into the future.

AI Jobs and Career

And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

There are numerous methods available for standardizing measures and assessments of Black entrepreneurship across North America. By working together collaboratively between various stakeholders such as policy makers, government officials, entrepreneurs themselves, students, etc., we can take steps towards reconciling the fragmented data on this subject matter so that we can gain a better understanding of its impact in our society today. With more accurate information at our disposal we will be better equipped to develop meaningful solutions aimed at empowering black entrepreneurs in these two countries moving forward.

Support Books and Business owned by Black Authors and Entrepreneurs in USA and Canada:

 
 

Djamgatech: AI Driven Tech Ed Books, Apps, eBooks, Saas

World Cup 2022 Guide – World Cup History – World Cup Quiz

Get the Ultimate World Cup 2022 Guide: Master World Cup History, Quiz on Players, Teams, Squad, Hosts, Controversy, Statistics, AI Predictions, Golden Boots, Golden Ball, Ballon d’Or, Soccer Quiz, and Football Trivia. Be the Envy of Your Friends and the Authority on the World Cup with this comprehensive guide book.
 

Djamga AI: Artificial Intelligence, Machine Learning, ChatGPT Apps & Tools

Show Up And Play Sports: Amateur Co-Ed Sports Platform

 
 

AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams: 3 Practice Exams, Data Engineering, Exploratory Data Analysis, Modeling, Machine Learning Implementation and Operations, NLP

Pass the AWS Certified Machine Learning Specialty Exam with Flying Colors: Master Data Engineering, Exploratory Data Analysis, Modeling, Machine Learning Implementation, Operations, and NLP with 3 Practice Exams. Get the MLS-C01 Practice Exam book Now!
 
 

Africa Quiz and Trivia: HISTORY – GEOGRAPHY – CULTURE – PEOPLE – CUISINE – ECONOMICS – LANGUAGES – MUSIC – WILDLIFE – FOOTBALL – POLITICS – ANIMALS – TOURISM – SCIENCE – ENVIRONMENT

Unlock the Secrets of Africa: Master African History, Geography, Culture, People, Cuisine, Economics, Languages, Music, Wildlife, Football, Politics, Animals, Tourism, Science and Environment with the Top 1000 Africa Quiz and Trivia. Get Yours Now!
 
 
 

TOP 1000 CANADA QUIZ: CANADA CITIZENSHIP TEST- HISTORY – GEOGRAPHY – GOVERNMENT- CULTURE – PEOPLE – LANGUAGES – TRAVEL – WILDLIFE – HOCKEY – TOURISM – SCENERIES – ARTS – DATA VISUALIZATION

Become a Canada Expert: Ace the Citizenship Test and Impress Everyone with Your Knowledge of Canadian History, Geography, Government, Culture, People, Languages, Travel, Wildlife, Hockey, Tourism, Sceneries, Arts, and Data Visualization. Get the Top 1000 Canada Quiz Now!
 

2023 AWS Cloud Practitioner Certification Practice Exam – 250+ Quizzes – Cheat Sheets Flashcards – Illustrated

Pass the AWS Cloud Practitioner Certification with flying colors: Master the Exam with 250+ Quizzes, Cheat Sheets, Flashcards, and Illustrated Study Guides – 2023 Edition.
 

2023 AWS Solutions Architect Associates SAA Certification Practice Tests and Quizzes illustrated: 250+ AWS SAA SAA-C03 Quizzes, Practice Exams, Cheat Sheets, I passed SAA Testimonials, Tips

Ace the AWS Solutions Architect Associate Exam with Confidence: Master the SAA-C03 certification with the 2023 Edition of 250+ Quizzes, Practice Exams, Cheat Sheets, I passed SAA Testimonials and Tips, all illustrated for easy understanding. Get your copy now!
 

2023 Azure Fundamentals AZ-900 Certification Exam Preparation: 250+ Latest Azure Fundamentals Quizzes, Practice Exams, Detailed Answers and References, Tests Prep, Cheat Sheets, Illustrations, Flashcards

Pass the Azure Fundamentals Exam with Ease: Master the AZ-900 Certification with the Comprehensive Exam Preparation Guide!
 
 
 
 
 

Financing Black Business in Canada and USA: Challenges and opportunities

How to Make Money From Web Scraping? The Top 20 Tips

Loans and Financial Calculators
DjamgaMind - AI Unraveled Podcast

DjamgaMind: Audio Intelligence for the C-Suite (Energy, Healthcare, Finance)

Are you drowning in dense legal text? DjamgaMind is the new audio intelligence platform that turns 100-page healthcare or Energy mandates into 5-minute executive briefings. Whether you are navigating Bill C-27 (Canada) or the CMS-0057-F Interoperability Rule (USA), our AI agents decode the liability so you don’t have to. 👉 Start your specialized audio briefing today at Djamgamind.com


AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

Job TitleStatusPay
Full-Stack Engineer Strong match, Full-time $150K - $220K / year
Developer Experience and Productivity Engineer Pre-qualified, Full-time $160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract) Contract $90 / hour
DevOps Engineer (India) Full-time $20K - $50K / year
Senior Full-Stack Engineer Full-time $2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India Contract $20 - $30 / hour
Senior Software Engineer Contract $100 - $200 / hour
Senior Software Engineer Pre-qualified, Full-time $150K - $300K / year
Senior Full-Stack Engineer: Latin America Full-time $1.6K - $2.1K / week
Software Engineering Expert Contract $50 - $150 / hour
Generalist Video Annotators Contract $45 / hour
Generalist Writing Expert Contract $45 / hour
Editors, Fact Checkers, & Data Quality Reviewers Contract $50 - $60 / hour
Multilingual Expert Contract $54 / hour
Mathematics Expert (PhD) Contract $60 - $80 / hour
Software Engineer - India Contract $20 - $45 / hour
Physics Expert (PhD) Contract $60 - $80 / hour
Finance Expert Contract $150 / hour
Designers Contract $50 - $70 / hour
Chemistry Expert (PhD) Contract $60 - $80 / hour

Let’s Find out how to Make Money From Web Scraping?

First of all, What is web scraping?

Web Scraping (also termed Screen ScrapingWeb Data Extraction, Web Harvesting etc.) is a technique employed to extract large amounts of data from websites whereby the data is extracted and saved to a local file in your computer or to a database in table (spreadsheet) format.

How to Make Money From Web Scraping

Web scraping can be a very useful skill to learn for anyone looking to start or further their career in data. Web scraping is the process of extracting data from websites, and it can be used to collect everything from images to contact information. While it may sound complicated, web scraping is actually quite simple once you get the hang of it. And best of all, it’s a skill that can be used to make money.

There are a number of ways to make money from web scraping. One popular way is to use web scraping for sport arbitrage. Sport arbitrage is the practice of betting on two different outcomes of the same event in order to profit from the difference in odds. Web scrapers can be used to quickly and easily find arbitrage opportunities by comparing the odds of different bookmakers.

Another way to make money from web scraping is to use it for e-commerce. Web scrapers can be used to collect product information and pricing data from multiple websites, making it easy to compare prices and find the best deals. This can be a great way to save money when shopping online, or even to start your own e-commerce business.

Of course, web scraping can also be used for more altruistic purposes.

If you want to make money with the knowledge of web scraping, you create a bot that successfully gets the valuable data you wished for, then sell the data or bot, or use it to buy or sell or make money on betting via sure bet.

There are some ways to make money using web scraping without selling data: Sport Arbitrage, Stock market, eCommerce, Niche News Aggregation (pick a niche, like celebrity news sites, scrape the top 10 sites, etc), Daily News (pay for a subscription to get past major site paywalls, then make the data free or discounted),Offline, intranet, or hard-to-access data, Lead Generation, Machine learning (Google images), Price monitoring (Ebay), Lead generation (Yelp) [scraping contact info for local biz], Market research (Brewdog) [scraping types of beer and their ratings, for example), App Development (Find Real Estate, Homes for Sale, Apartments & Houses for Rent | realtor.com®) [I can only assume scraping realty data and copying it], Academic Research (Techcrunch), Find Relevant Top Hashtags, etc…

AI-Powered Professional Certification Quiz Platform
Crack Your Next Exam with Djamgatech AI Cert Master

Web|iOs|Android|Windows

Are you passionate about AI and looking for your next career challenge? In the fast-evolving world of artificial intelligence, connecting with the right opportunities can make all the difference. We're excited to recommend Mercor, a premier platform dedicated to bridging the gap between exceptional AI professionals and innovative companies.

Whether you're seeking roles in machine learning, data science, or other cutting-edge AI fields, Mercor offers a streamlined path to your ideal position. Explore the possibilities and accelerate your AI career by visiting Mercor through our exclusive referral link:

Find Your AI Dream Job on Mercor

Your next big opportunity in AI could be just a click away!

Top Tips – How to make money using web scraping?

1- Sport Arbitrage

Scraping data from betting sites is a good way to make money because you don’t have to sell data you obtained, but only use that data in your favor. If you never scraped a betting site, I recommend you first check my step by step tutorial Scraping a Betting Site in 10 Minutes where I show the basics of scraping a bookmaker.

It doesn’t matter what sports you like; chances are you or someone you know at least once earned some money betting on their favorite team. You might’ve won because of good luck or knowledge of the sport, but probably you’ve also lost because you can’t always guess what’s going to happen in the future. But what if you could make a profit regardless of the match outcome? This is called ‘surebet and isn’t new in the gambling world.

Surebet is a situation when a bettor can make a profit regardless of the outcome by placing one bet per each outcome with different bookmakers. This happens when different bookmakers have different odds for the same game due to either bookmakers’ differing opinions (statistics) on event outcomes or errors. We can find those errors by scraping different bookmakers.

AI Jobs and Career

And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

Best practices

If you decided to make money with surebets, keep this in mind:

Avoid ‘account limitation’: Bookmakers, in general, dislike people who are good at gambling (no matter how they win); that’s why some people who earn money in betting sites get limitations. This means that you’d only bet a maximum amount of money per event set by the bookmaker — $5, $10, etc. If you start getting money with surebets, you may be seen as a ‘good bettor.’ To appear like an average person under bookmakers’ radars, experience bettors do this:Use many bookmakers: Create accounts in different bookmakers and spread your bets around them. It’ll be harder to identify you as a smart player in this way.

Round your stake: Although in the example I gave, I used decimal numbers; you shouldn’t do this just because most people don’t bet like that. Avoid decimal numbers at any cost and do your best to round your stake to the nearest number of five. If the formula gives you $47, then bet either $45 or $50 instead.

Do not make unnecessary withdrawals from a bookmaker: After you get some money don’t try to cash out right away or withdraw big amounts at once, this may arouse suspicion.

Avoid betting on smaller markets: Not many people bet on less popular sports like table tennis or water polo, so making money here would be suspicious. Mix up small and large markets.

Remember that limited accounts can still withdraw money. Hopefully, with the tips above, you’ll avoid limitations for a good time.

Finally, these are some markets where surebets happen often:Hand to Hand (Win or lose sports like tennis, baseball, etc.)


AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence (OpenAI, ChatGPT, Google Gemini, Generative AI, Discriminative AI, xAI, LLMs, GPUs, Machine Learning, NLP, Promp Engineering)

Double chance

Both teams to score

Asian Handicaps

Over / Under

Ecommerce:

Speaking generally, web scraping is the act of programatically gathering information from websites.

Lets say you want to find the price of an item on an eCommerce website. Normally, you will visit the website, search for the item and then scroll until you find the item.

But now let’s say you want to do this for thousands of items, perhaps across multiple websites. Maybe you are starting your own business and you want to keep track of the going prices for a variety of items. Manually checking prices on all of them is going to be very time consuming. To help you do this work faster, you can write a web scraper.

So how does this work?

When you visit a website with your browser, a server sends you some files, and the browser then renders them into pages that look nice and are easy for a human to use (hopefully). But you don’t need a browser to ask for those files. You can also write a computer program that requests those files. A web scraper (usually) will not render those files into pretty, usable pages, but instead load them into a format that makes them easy for a machine to read extremely quickly.

At that point, you can scan all of the files for all of the prices, and do whatever you like with them. You could average them and output a number. Or output the minimum and maximum prices. Or output the prices of the highest rated listings for whatever product you are curious about. Or feed the numbers to a graphing library that visualizes the data. Or put them into an Excel sheet. The possibilities are endless!

Some websites are hostile to this practice, however, and make you jump through hoops to prove that you are a real user and not a computer program. This makes sense, because too many webscrapers crawling all over your website can slow your site down or crash it. It’s also a way for competitors to get real time data about you, and you may want to make it more difficult for them to do so.

Build Your Own Dataset With Beautiful Soup

How to download Images from Google using Python?

Stock Market Screening and Analysis: Using Web Scraping, Neural Networks, and Regression Analysis

Stock markets tend to react very quickly to a variety of factors such as news, earnings reports, etc. While it may be prudent to develop trading strategies based on fundamental data, the rapid changes in the stock market are incredibly hard to predict and may not conform to the goals of more short term traders. This study aims to use data science as a means to both identify high potential stocks, as well as attempt to forecast future prices/price movement in an attempt to maximize an investor’s chances of success. Read more…

How to Generate Leads with Web Scraping in Python

Lead Generation is crucial for any business, without new leads to fill your sales funnel it’s impossible to acquire your customers and grow your company. Some businesses garner a lot of inbound interest so PPC or social media ads may be enough to generate leads. But what if your product or service is something that most people don’t specifically search for? This might be a new technology, a niche product or B2B services where very few people might use a search engine to find you. Read more ….

Responsible Web Scraping: Gathering Data Ethically and Legally

Find Relevant Top Hashtags Using Python

The good thing about this code is that you do not need to log into any Instagram account. Anyone can access publicly available posts on Instagram using the hashtag. For example if you want to see the posts for the hashtag #newyork, you can do so by using the following URL:

    https://www.instagram.com/explore/tags/newyork
    Read more ...

If You are Web Scraping Don’t Do These Things

  • Don’t Hard Code Session Cookies:

So what should you do instead? Code your program to login and use the sessions to ensure your cookies get sent with every request!

s = requests.Session()
s.post("https://fakewebsite.com/login", login_data)for url in url_list:
response = s.get(url)

It takes just a little extra work but it will save you time from having to constantly update the code.

  • Don’t DOS Websites: Not that type of DOS. I mean Denial Of Service. If you don’t think you are doing this you should read this section because I’m about to blow your mind. Writing a for loop to access a website is a DOS.
  • Don’t Copy and Paste Reusable Code
  • Don’t Write Single Threaded Scrapers: Note that more threads doesn’t always mean better performance. This is because all these threads live on the same core. Confusing I know but this is something you will likely come across in testing.
  • Don’t Use the Same Pattern for Scraping: Many websites will ban you if you do the same thing over and over again. There are some strategies you can use to circumvent this.

Web scraping doesn’t have to be hard. The best thing you can do for yourself is build good tools that you can reuse and your web scraping life will be much easier. If you need assistance with a web scraping project feel free to reach out to me on twitter as I do consulting.

How to Web Scrape in 8 Minutes

Worldometers

Wordometers is a website that provides data on live world statistics, and is the website we are going to scrape. Specifically we are going to scrape world population data that is in a table (seen below). Scraping data from a table is one of the most used forms of web scraping because most often then not the data we need in tables are not downloadable. So instead of getting the data manually we let a computer do it in mere seconds.

Image for post

Beautiful Soup

Beautiful Soup is one of the most powerful web scraping libraries and in my opinion the easiest to learn which is why were going to use it.

Web scraping is a very powerful tool, where used in the right settings can make your life a whole lot easier

How to scrape an image from a website?

You can first extract images URLs (where the image is stored on the website) using Octoparse (a coding-free visual web scraping tool), and then download the images using image downloaders.

Which is the best OCR tool for extracting texts?

Online OCR Software

There are a few convenient and useful OCR tools in the Text Scanner such as below:

1. Images OCR

2. Screenshot OCR

3. Table OCR

4. Scanner/Digital Camera

Ace the Microsoft Azure Fundamentals AZ-900 Certification Exam: Pass the Azure Fundamentals Exam with Ease

OCR Conversions

All the OCR tools above can provide a different type of OCR conversions to help users from different file formats on different devices.

1. Extract Text from PDF.

2. Extract Text from Image.

3. Extract Text from Screenshot.

4. Extract Excel from Image.

5. Scan Text from Camera or Scanner.

What etiquette should web scrapers follow? – Web scraping code of conduct:

Scraping articles/data that is otherwise not publicly available and re-publishing it for a for-profit company is generally a no-no. There are a lot of grey areas here, and there’s usually a paragraph on scraping policy in the Terms of Use on a website.

Scraping for your own personal use: no-one cares. Just make sure to throttle the process so you don’t hammer a website to the point it becomes a DDoS attack.

Scraping is legal. https://techcrunch.com/2022/04/18/web-scraping-legal-court/

I’m not sure if there is any real law against scraping, but there are licensing issues regarding data published. If someone is paying for a data provider, and you scrape that data, that may not be legal for you to collect and redistribute.

If you are looking for an all-in-one solution to help you prepare for the AWS Cloud Practitioner Certification Exam, look no further than this AWS Cloud Practitioner CCP CLF-C02 book

Web Scraping with Python: from Fundamentals to Practice

Access it here

How do deal with https-domains with SSL certificates in BeautifulSoup? And please don’t say use verify = False:

BeautifulSoup is a library for pulling data out of HTML and XML. You have to make a request using another library(e.g. requests) to get HTML content of the page and pass it to BeautifulSoup for extracting useful information.

I haven’t faced with any problems during scraping HTTPs sites using requests lib.

For anyone who goes with requests as your HTTP client, I would highly recommend adding requests-cache for a nice performance boost.

Why does Python not separate data into columns when exporting web scraping results to .csv?

Make sure to set the separator to , (I think the default is ;?).

Also, you should use BeautifulSoup(page.text) instead of BeautifulSoup(page.content). If you give it bytes rather than text, BeautifulSoup has to guess the text encoding, which is slow and can produce incorrect results.

And at the end, remember to call soup.decompose() to let python free up the memory.

How do I turn web scraping into a business?

Start by identifying the problem your service can solve. Eg, e-commerce companies wanting real time data on retail trends in their space, or financial firms wanting data on hiring trends gleaned from jobs postings, etc. If you can show how your tool addresses that problem better or cheaper than the current solution, and thus creates value and $ for your audience, you’ve got a business.

Is it possible to do web scraping without using any third-party modules?

Uh, of course you can. Here I wrote this just for you. I tried to make it slightly realistic so I gave it some error handling, a stopping point, absolute URL handling, and multithreading.

I think the first barrier you’ll run into with this is Python’s native HTML parser is very strict about what valid HTML is so it won’t interpret things the same way your web browser will. For that, I suggest using lxml as a parser (but that is a third-party module).

from collections import deque
from html.parser import HTMLParser
from threading import Lock
from urllib.error import HTTPError
from urllib.parse import urljoin
from urllib.request import urlopen
from concurrent.futures import ThreadPoolExecutor

NUMBER_OF_THREADS = 10
MAX_DEPTH = 3
TARGET_URL = r"https://www.reddit.com/r/Python/comments/v89fm9/is_it_possible_to_do_web_scraping_without_using/"


class MyHTMLParser(HTMLParser):
    def __init__(self, url=None):
        super().__init__()
        self.links = []
        self.url = url

    def handle_starttag(self, tag, attrs):
        if tag == "a":
            if "href" not in dict(attrs):
                return

            href = dict(attrs)["href"]

            # Convert relative links to absolute links
            if self.url:
                href = urljoin(self.url, href)

            self.links.append(href)


def get_html(url):
    """
    Get the content of a URL.
    """
    try:
        return urlopen(url).read().decode("utf-8")
    except HTTPError as e:
        return e.read().decode("utf-8")



def parse_html(html, url=None):
    """
    Parse the HTML of a web page.
    """
    parser = MyHTMLParser(url)
    parser.feed(html)
    return parser


def handle(url, depth, callback, lock):
    """
    Handle a web page.
    """
    html = get_html(url)
    links = parse_html(html, url).links

    # Lock when printing to the terminal to avoid two threads printing at the same time
    with lock:
        print(depth, url)

    for link in links:
        # Lock when adding to the queue to avoid two threads adding to the queue at the same time
        with lock:
            callback((depth + 1, link))


def crawl(url, max_depth):
    """
    Crawl a web page.
    """
    seen = set()
    crawling = deque([(0, url)])
    lock = Lock()
    with ThreadPoolExecutor(max_workers=NUMBER_OF_THREADS) as executor:
        tasks = []
        while crawling:
            depth, url = crawling.popleft()

            # If the depth is equal to the maximum depth, skip the URL (remember depth starts at 0)
            if depth == max_depth:
                continue

            # If the URL has already been seen, skip it
            if url in seen:
                continue
            seen.add(url)

            # Submit the task and add the task to the list of tasks
            tasks.append(executor.submit(handle, url, depth, crawling.append, lock))

            # If the queue is empty and we still have tasks, wait for them one by one until we have something to do
            while tasks and not crawling:
                tasks.pop().result()


if __name__ == "__main__":
    crawl(TARGET_URL, max_depth=MAX_DEPTH)

How to Make Money From Web Scraping – To conclude:

Web scraping can be a great way to make money online. There are a few different ways to go about it, but one of the most popular is to scrap web pages for sport arbitrage. This involves looking for discrepancies in odds between different bookmakers and then placing bets accordingly. Another way to make money from web scraping is to create a dataset with Beautiful Soup, a Python-based tool for extracting data from HTML and XML documents. This can be used to create a database of products for an ecommerce site, or to generate leads for a sales team. Finally, it’s also possible to scrape images from websites. This can be useful for creating memes or for other creative purposes. However, it’s important to follow the etiquette of web scraping and only scrape data that is publicly available. Otherwise, you could face legal action.

Web scraping can also be used to supplement your main income. In order to make money from web scraping, you will need to find a reliable source of data. One of the best places to find data for web scraping is Worldometers. This website provides a wealth of information on a variety of topics, and it is constantly updated with new data. Another great place to find data for web scraping is Beautiful Soup. Python is one of the best programming languages for web scraping, and it is relatively easy to learn. Once you have learned how to use Python for web scraping, you can start generating leads or collecting data for research purposes. Web scraping can be an extremely lucrative business, and it is a great way to make money online.

How to Make Money From Web Scraping? – Python Breaking News

Amateur soccer Referees are paid up to $50 per game and games are played everyday after 05pm and on week ends.

I have created a referee locator app and listed how to become a referee anywhere in US and Canada at Amateur Referees Locator – How to become a referee? – Djamga – ShowUpAndPlaySports

12- Buy and sell popular or efficient cars (Japanese makes like Corolla, Camry, Honda, etc…) on Craigslist , kijiji, facebook marketplace or any local popular online used item market site.

13- Learn web design, coding and apply for part time consulting gigs at Remote Jobs: Design, Programming, Rails, Executive, Marketing, Copywriting, and more. or any other site posting IT work remote jobs in US or Canada.

AI Jobs and Career

And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

14- Organize sports tournaments (soccer, basketball, hockey): Rent good and inexpensive fields, convince friends to create teams, run a great campaign and organize amateur sport tournaments monthly and you can easily make $5000 after expenses if you do it right. This is not easy though, you must know local players and team captains and convince them to join.

15- Become a freelancer writer If you’re creative about how you write (hint: use speech to text and edit down into prose) you can get your hourly > $40/hour even at rates like $1/100 words.

16- Learn to play poker either online or in-person. Online, go for low-stakes and grind out your cash. Live, go for higher stakes and hunt down atrocious players (see my answer to How much can a competitive online poker player make? for more)

17- Become a tutor that focuses on students that are under-performing in the subjects you’re best at.

18- Do contract sales for companies that pay you recurring revenue. Over time, if you take care of your accounts, you won’t even need to close new ones if the retention rate is high.

19- Arbitrage mispriced items on Craigslist or kijiji

20- Arbitrage textbooks on Amazon. Time it with quarters / semesters / school years ending and hold until next quarter / semester / school year.


AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence (OpenAI, ChatGPT, Google Gemini, Generative AI, Discriminative AI, xAI, LLMs, GPUs, Machine Learning, NLP, Promp Engineering)

Bonus1- Drive 20 hours a week for Uber or https://lyft.com

Bonus2- Buy vending machines so that your cashflow for your investment is $1,000-$2,000 a week

Bonus- More opportunities here

How to get to My saved Payment Buttons in Paypal?

DjamgaMind - AI Unraveled Podcast

DjamgaMind: Audio Intelligence for the C-Suite (Energy, Healthcare, Finance)

Are you drowning in dense legal text? DjamgaMind is the new audio intelligence platform that turns 100-page healthcare or Energy mandates into 5-minute executive briefings. Whether you are navigating Bill C-27 (Canada) or the CMS-0057-F Interoperability Rule (USA), our AI agents decode the liability so you don’t have to. 👉 Start your specialized audio briefing today at Djamgamind.com


AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

Job TitleStatusPay
Full-Stack Engineer Strong match, Full-time $150K - $220K / year
Developer Experience and Productivity Engineer Pre-qualified, Full-time $160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract) Contract $90 / hour
DevOps Engineer (India) Full-time $20K - $50K / year
Senior Full-Stack Engineer Full-time $2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India Contract $20 - $30 / hour
Senior Software Engineer Contract $100 - $200 / hour
Senior Software Engineer Pre-qualified, Full-time $150K - $300K / year
Senior Full-Stack Engineer: Latin America Full-time $1.6K - $2.1K / week
Software Engineering Expert Contract $50 - $150 / hour
Generalist Video Annotators Contract $45 / hour
Generalist Writing Expert Contract $45 / hour
Editors, Fact Checkers, & Data Quality Reviewers Contract $50 - $60 / hour
Multilingual Expert Contract $54 / hour
Mathematics Expert (PhD) Contract $60 - $80 / hour
Software Engineer - India Contract $20 - $45 / hour
Physics Expert (PhD) Contract $60 - $80 / hour
Finance Expert Contract $150 / hour
Designers Contract $50 - $70 / hour
Chemistry Expert (PhD) Contract $60 - $80 / hour

How to get to My saved Payment Buttons in Paypal?

As a small business owner who uses paypal for transactions, I always find it hard to get to my saved payment buttons in paypal to edit them.

I don’t know for the life of me why Paypal makes it so difficult and don’t document it. The only thing I can think of is that Paypal doesn’t want merchants to use those buttons anymore and want us to upgrade to business accounts where they can a monthly fee.
I have decided to blog about it to help my fellow small business owners who work hard and to also help myself, because whenever i find it, i always forget how i did it the next time.
As of October 2018, this is what i do to get to my saved payment buttons in paypal.




  • Log into your paypal account and go to Profile on the top left of the page.
  • Click on Profile and Settings
  • Click on “my Selling Tools” on the left menu
  • Click on Manage Selling on the right et voila….



They might change it again in the future to confuse us, but I will update it again if it happens.
Paypal already gets a fee on all transaction made on our site and they want to squeeze more by forcing us to upgrade. Don’t get fouled…..and stay woke.
Enjoy!!!!!

What is Google Workspace?
Google Workspace is a cloud-based productivity suite that helps teams communicate, collaborate and get things done from anywhere and on any device. It's simple to set up, use and manage, so your business can focus on what really matters.

Watch a video or find out more here.

Here are some highlights:
Business email for your domain
Look professional and communicate as you@yourcompany.com. Gmail's simple features help you build your brand while getting more done.

Access from any location or device
Check emails, share files, edit documents, hold video meetings and more, whether you're at work, at home or on the move. You can pick up where you left off from a computer, tablet or phone.

Enterprise-level management tools
Robust admin settings give you total command over users, devices, security and more.

Sign up using my link https://referworkspace.app.goo.gl/Q371 and get a 14-day trial, and message me to get an exclusive discount when you try Google Workspace for your business.

Google Workspace Business Standard Promotion code for the Americas 63F733CLLY7R7MM 63F7D7CPD9XXUVT 63FLKQHWV3AEEE6 63JGLWWK36CP7WM
Email me for more promo codes

Active Hydrating Toner, Anti-Aging Replenishing Advanced Face Moisturizer, with Vitamins A, C, E & Natural Botanicals to Promote Skin Balance & Collagen Production, 6.7 Fl Oz

Age Defying 0.3% Retinol Serum, Anti-Aging Dark Spot Remover for Face, Fine Lines & Wrinkle Pore Minimizer, with Vitamin E & Natural Botanicals

Firming Moisturizer, Advanced Hydrating Facial Replenishing Cream, with Hyaluronic Acid, Resveratrol & Natural Botanicals to Restore Skin's Strength, Radiance, and Resilience, 1.75 Oz

Skin Stem Cell Serum

Smartphone 101 - Pick a smartphone for me - android or iOS - Apple iPhone or Samsung Galaxy or Huawei or Xaomi or Google Pixel

Can AI Really Predict Lottery Results? We Asked an Expert.

Ace the 2025 AWS Solutions Architect Associate SAA-C03 Exam with Confidence Pass the 2025 AWS Certified Machine Learning Specialty MLS-C01 Exam with Flying Colors

Djamgatech



Read Photos and PDFs Aloud for me iOS
Read Photos and PDFs Aloud for me android
Read Photos and PDFs Aloud For me Windows 10/11
Read Photos and PDFs Aloud For Amazon

Get 20% off Google Workspace (Google Meet)  Business Plan (AMERICAS): M9HNXHX3WC9H7YE (Email us for more)

Get 20% off Google Google Workspace (Google Meet) Standard Plan with  the following codes: 96DRHDRA9J7GTN6(Email us for more)

Go back to Top

AI-Powered Professional Certification Quiz Platform
Crack Your Next Exam with Djamgatech AI Cert Master

Web|iOs|Android|Windows


FREE 10000+ Quiz Trivia and and Brain Teasers for All Topics including Cloud Computing, General Knowledge, History, Television, Music, Art, Science, Movies, Films, US History, Soccer Football, World Cup, Data Science, Machine Learning, Geography, etc....

taimienphi.vn

List of Freely available programming books - What is the single most influential book every Programmers should read



#BlackOwned #BlackEntrepreneurs #BlackBuniness #AWSCertified #AWSCloudPractitioner #AWSCertification #AWSCLFC02 #CloudComputing #AWSStudyGuide #AWSTraining #AWSCareer #AWSExamPrep #AWSCommunity #AWSEducation #AWSBasics #AWSCertified #AWSMachineLearning #AWSCertification #AWSSpecialty #MachineLearning #AWSStudyGuide #CloudComputing #DataScience #AWSCertified #AWSSolutionsArchitect #AWSArchitectAssociate #AWSCertification #AWSStudyGuide #CloudComputing #AWSArchitecture #AWSTraining #AWSCareer #AWSExamPrep #AWSCommunity #AWSEducation #AzureFundamentals #AZ900 #MicrosoftAzure #ITCertification #CertificationPrep #StudyMaterials #TechLearning #MicrosoftCertified #AzureCertification #TechBooks

Top 1000 Canada Quiz and trivia: CANADA CITIZENSHIP TEST- HISTORY - GEOGRAPHY - GOVERNMENT- CULTURE - PEOPLE - LANGUAGES - TRAVEL - WILDLIFE - HOCKEY - TOURISM - SCENERIES - ARTS - DATA VISUALIZATION
zCanadian Quiz and Trivia, Canadian History, Citizenship Test, Geography, Wildlife, Secenries, Banff, Tourism

Top 1000 Africa Quiz and trivia: HISTORY - GEOGRAPHY - WILDLIFE - CULTURE - PEOPLE - LANGUAGES - TRAVEL - TOURISM - SCENERIES - ARTS - DATA VISUALIZATION
Africa Quiz, Africa Trivia, Quiz, African History, Geography, Wildlife, Culture

Exploring the Pros and Cons of Visiting All Provinces and Territories in Canada.
Exploring the Pros and Cons of Visiting All Provinces and Territories in Canada

Exploring the Advantages and Disadvantages of Visiting All 50 States in the USA
Exploring the Advantages and Disadvantages of Visiting All 50 States in the USA


Health Health, a science-based community to discuss human health

Reddit Science This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.

Reddit Sports Sports News and Highlights from the NFL, NBA, NHL, MLB, MLS, NCAA, F1, and other leagues around the world.

Turn your dream into reality with Google Workspace: It’s free for the first 14 days.
Get 20% off Google Google Workspace (Google Meet) Standard Plan with  the following codes:
Get 20% off Google Google Workspace (Google Meet) Standard Plan with  the following codes: 96DRHDRA9J7GTN6 96DRHDRA9J7GTN6
63F733CLLY7R7MM
63F7D7CPD9XXUVT
63FLKQHWV3AEEE6
63JGLWWK36CP7WM
63KKR9EULQRR7VE
63KNY4N7VHCUA9R
63LDXXFYU6VXDG9
63MGNRCKXURAYWC
63NGNDVVXJP4N99
63P4G3ELRPADKQU
With Google Workspace, Get custom email @yourcompany, Work from anywhere; Easily scale up or down
Google gives you the tools you need to run your business like a pro. Set up custom email, share files securely online, video chat from any device, and more.
Google Workspace provides a platform, a common ground, for all our internal teams and operations to collaboratively support our primary business goal, which is to deliver quality information to our readers quickly.
Get 20% off Google Workspace (Google Meet) Business Plan (AMERICAS): M9HNXHX3WC9H7YE
C37HCAQRVR7JTFK
C3AE76E7WATCTL9
C3C3RGUF9VW6LXE
C3D9LD4L736CALC
C3EQXV674DQ6PXP
C3G9M3JEHXM3XC7
C3GGR3H4TRHUD7L
C3LVUVC3LHKUEQK
C3PVGM4CHHPMWLE
C3QHQ763LWGTW4C
Even if you’re small, you want people to see you as a professional business. If you’re still growing, you need the building blocks to get you where you want to be. I’ve learned so much about business through Google Workspace—I can’t imagine working without it.
(Email us for more codes)