HERO’s Post

🏁 Finalists in Two Categories at HackYeah 2024! 🏁 We might have pushed ourselves a little too far at this year’s #HackYeah, competing in two categories (Cybersecurity and AI) - and making it to the finals in both! The CyberSecurity challenge was exciting! We approached the challenge from a unique angle (not just building an extension) and we performed really well, especially during the pitch. I never imagined I’d get the chance to pitch in front of Mateusz Chrobok, trying to sell him on an idea! I also had a blast bouncing between different teams, offering pitch and presentation tips along the way. While our concepts were strong, I think we just didn’t have that many hands on deck to fully meet the expectations and develop for the edge cases enough. This was accurately pointed out by 🔥 Jakub Mrugalski on the AI task with fake-outs and Mateusz Chrobok with checking Google's validity. Thank you very much for the feedback! The Best Team in the World - Mniejsza Dawka Development (only slightly exaggerated): - Maciej Kaszkowiak (aka solo AI maniac) - Tymoteusz Jagła (aka 4 AM extension debugging magician) - Mateusz Karłowski (aka THE cheesecake supplier) Links: - Repo - Cybersec: https://lnkd.in/dkze57F9 - Demo - Cybersec: https://lnkd.in/d_bn_RbM - Repo - AI: https://lnkd.in/dxQekRA9

𝐎𝐮𝐭𝐭𝐚𝐤𝐞 𝐟𝐫𝐨𝐦 𝐆𝐫𝐨𝐰𝐭𝐡 𝐇𝐚𝐜𝐤𝐞𝐫𝐬 🚀𝐀𝐌𝐀 (𝐀𝐬𝐤-𝐌𝐞-𝐀𝐧𝐲𝐭𝐡𝐢𝐧𝐠) 𝐬𝐞𝐬𝐬𝐢𝐨𝐧 𝐨𝐟 𝐀𝐩𝐫𝐢𝐥 3𝐫𝐝, 2024 👥   🤔❓𝑴𝒚 𝑺𝒆𝒔𝒔𝒊𝒐𝒏’𝒔-𝑸𝒖𝒆𝒔𝒕𝒊𝒐𝒏 🤔❓   Where do you see the future of Growth Hacking? … You might even mention AI 😉    📢❗️𝑪𝒉𝒊𝒆𝒅𝒐’𝒔 𝑨𝒏𝒔𝒘𝒆𝒓 (𝒔𝒉𝒐𝒓𝒕 𝒗𝒆𝒓𝒔𝒊𝒐𝒏) 📢❗️   Computers 🖥️ are amazing at specializations, but Humans 👥 are really good at being generalists! Growth Hacking is a generalist’s skill set!   Growth Hackers will use AI to help them analyze data, interpret date, find insights, process user research and maybe even suggest variations for A/B-tests.   𝘍𝘰𝘳 𝘮𝘰𝘳𝘦 𝘸𝘢𝘵𝘤𝘩 𝘰𝘶𝘵𝘵𝘢𝘬𝘦 𝘷𝘪𝘥𝘦𝘰 𝘰𝘳 𝘦𝘷𝘦𝘯 𝘣𝘦𝘵𝘵𝘦𝘳 𝘵𝘩𝘦 𝘧𝘶𝘭𝘭 𝘈𝘔𝘈 𝘷𝘪𝘥𝘦𝘰 (𝘢𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 𝘰𝘯 𝘷𝘢𝘳𝘪𝘰𝘶𝘴 𝘱𝘭𝘢𝘵𝘧𝘰𝘳𝘮𝘴).   Credits to: Chiedo John Pedro Clivati GrowthHackers   𝑾𝒉𝒂𝒕’𝒔 𝒚𝒐𝒖𝒓 𝒕𝒉𝒐𝒖𝒈𝒉𝒕𝒔 𝒐𝒏 𝒕𝒉𝒆 𝒇𝒖𝒕𝒖𝒓𝒆 𝒐𝒇 𝑮𝒓𝒐𝒘𝒕𝒉 𝑯𝒂𝒄𝒌𝒊𝒏𝒈? 𝑳𝒆𝒂𝒗𝒆 𝒚𝒐𝒖𝒓 𝒄𝒐𝒎𝒎𝒆𝒏𝒕𝒔 𝒕𝒐 𝒅𝒊𝒔𝒄𝒖𝒔𝒔!   #einfachklarer #simplyclearer #Futureofgrowthhacking #AMAsession #Growthhacking #Datadrivenmarketing

What is driving the evolution of the bot ecosystem, and how are malicious bots becoming more advanced in mimicking human actions? Our Threat Spotlight dives into recent bot research, including how these programs operate and why AI-driven bots are making it harder to distinguish legitimate activity from threats. Gain more insight here: http://cuda.co/blg111924 #AppSec #BotTrends

What is driving the evolution of the bot ecosystem, and how are malicious bots becoming more advanced in mimicking human actions? Our Threat Spotlight dives into recent bot research, including how these programs operate and why AI-driven bots are making it harder to distinguish legitimate activity from threats. Gain more insight here: http://cuda.co/blg111924 #AppSec #BotTrends

What is driving the evolution of the bot ecosystem, and how are malicious bots becoming more advanced in mimicking human actions? Our Threat Spotlight dives into recent bot research, including how these programs operate and why AI-driven bots are making it harder to distinguish legitimate activity from threats. Gain more insight here: http://cuda.co/blg111924 #AppSec #BotTrends

I KNOW it’s so tempting to believe there’s a magic trick out there that makes social media a complete and instant success. I had a client ask “don’t you know some kind of magic hat trick?” And when I said it doesn’t work that way they fired me 😅 Hacking the algorithm can’t fix a bad product, a bad sales funnel, and bad content creation. Trust me, I WISH it was possible. It would make my job so much easier 🫡 #socialmediamarketing #socialmediamanager

Hot take: any social media *expert* who shares they've "hacked the algorithm" simultaneously shares that they're a fraud. 3 main reasons why: 1. there's no singular algorithm 2. each person's algorithmic feed is custom 3. algorithms aren’t static - they’re constantly changing You can test and learn. Do more of what works, less of what doesn't. Optimize your content based on your insights to find a formula that works for you. But saying you "hacked" it... nah.

From time to time I mention On Here that I’m writing a book. Since a lot of you are lawyers, you know how circumscribed our ability to write books about what we’ve done is. If you’re curious what my book will be like, here’s a very well-done article from Foreign Policy that gives a strong sense of it. As far as I’m concerned, the only interesting thing about any book I could write is very well presented in here: what was it like to be me when all those things you already know about happened. Whenever I saw for the past few years all the Maggie Haberman and Bob Woodward and other books with their facts from the Trump 1 years that they had clearly saved for their book, my thought was always that that’s a terrible way to move units. Every review will contain that fact and then you don’t need to buy the book to know it. If there’s anything interesting that I could provide about my years at Pokémon, it’s what was it like to be me. The article talks about the BBC running a story about minefields in Bosnia and my trip to the State Department as a consequence. But how did I know to whom to talk? Why did I react that way? The only even vaguely interesting thing I can add to this fact is the why. The Trump 1 books I described above don’t have that, because they’re from people who weren’t there when the interesting thing happened. I don’t need to conduct interviews, because I was there. I hope I haven’t just talked you out of buying the book when I finally finish writing it, but there it is. I figured since people ask me from time to time how exactly I think I can write a book, I’d take advantage of the opportunity to explain. Enjoy the article. In the context of some recent articles about Niantic using Pokémon GO to do real-world AI mapping, this piece may provide some interesting insight into one specific concern one specific group of people had.

The Hacking of Culture and the Creation of Socio-Technical Debt: Culture is increasingly mediated through algorithms. These algorithms have splintered the organization of culture, a result of states and tech companies vying for influence over mass audiences. One byproduct of this splintering is a shift from imperfect but broad cultural narratives to a proliferation of niche groups, who are defined by ideology or aesthetics instead of nationality or geography. This change reflects a material shift in the relationship between collective identity and power, and illustrates how states no longer have exclusive domain over either. Today, both power and culture are increasingly corporate...

How Search Engines Really Work: Behind the Scenes of Finding Answers 🔍 Ever wondered how search engines bring you the right answers so quickly? In my new article, "Hacking the System Design: How Search Engines Understand and Deliver Results," I break down the basics of how they work! In the article, you’ll learn about: 1️⃣ The main parts and types of search engines 2️⃣ How they measure what’s relevant to your search 3️⃣ How they handle millions of searches every day with things like query rewriting and special scaling techniques 4️⃣ What’s next for search engines, including AI and voice search If you’re into system design, data science, or just curious about how technology works, give it a read and let me know what you think! 🌟 Kanav Bansal #kanavbansal #innomaticsresearchlabs #datasciences