Why Residential Proxies Are Cooler Than Michael Jordan?
Hi everyone,
While I was waiting till I create enough new content before sending my next newsletter, David B. Clear has inspired me today with his post “Dear Perfectionist Blogger — Stop Being so Precious about Your Blog Posts“ to stop procrastinating on this task.
So here I am, and here is my sixth newsletter where I will:
Share a true success story after years of struggles,
Reveal why residential proxies are cooler than Michael Jordan,
And show you how to collect data with some of the best tools on the market.
From Being Fired to Inventing the Product of the Year and Generating Millions in Sales
Enis glanced at the little shiny bottles and the jury in front of him on their chairs. Now the years of sacrifice and effort came down one moment.
In another time and place, he could have been one of the guys who told him the idea won’t work, and it would be better to look for a job instead of struggling with his unpromising projects. Some of them were watching him for a misstep to justify their prejudice.
It took him a few seconds to re-focus and smile. Then words poured from his mouth.
It was a fateful day, and he wasn’t sure what would happen. Had he convinced them?
Why Residential Proxies are Cooler than Michael Jordan?
Yes, residential proxies can be cooler than Michael Jordan.
Over 72 million IP addresses from all around the world to scrape any web data and never get blocked or cloaked.
So reads Bright Data (formerly Luminati) message promoting its world’s #1 residential proxies, which are used by business leaders, decision-makers, analysts, academics, software engineers, and IT professionals.
If you have no idea about “residential proxies”, you’re not alone. The first time I heard that expression (and it was not a long time ago), I didn’t even know what it was meant by it. But they are worth taking a few minutes to understand them, learn how to use them to automate and boost your business, and how to get them.
4 Data Collection Tools You Should Not Miss In 2022
While I was watching the episodes of HBO’s Silicon Valley, I enjoyed the drama and comedy in that series. But what caught my attention the most was some ingenious product ideas such as SeeFood.
During his pitch to a VC firm, Coleman Blair, Erlich has realized that he was facing a serious problem. One of his programmers, Jian Yang, wants to speak about an app that promotes his grandmother’s 8 secret recipes of Octopus (SeaFood), which does not meet the VC firm’s assumption of a camera-based app.
“Like you take a photo of food, the app returns nutritional information or recipes or how it was sourced,” said the venture capitalist, explaining his expectation.
After hearing this last sentence, Erlich felt inspired. Without hesitation, he announced that their project is in fact SeeFood and not SeaFood: it’s “Shazam for food” like a food that you can see.
That announcement has saved them some hassle. But later, they noticed they needed lots of data to train the machine-learning algorithm that will allow the app to recognize and identify the meal. They planned a large-scale scraping task for images from the web, but they struggled to achieve it with the budget and the short time they have.
If they have used the appropriate tools and infrastructure, they could have succeeded in their mission.
You’re probably not going to build the next “Shazam for food,” but just like Erlich and Jiang Yang, you …
Thanks for reading!
— Rakia