visit
Problem solving — technologists do it differently.™ I asked 5 top Hacker Noon Contributors to share their secret problem-solving frameworks, so that we can all learn to think like devs, during a time when troubleshooting skills couldn't be more coveted.
🎬 (02:55) Rishabh Anand on why a whiteboard helps with problem solving, and finding your own path forward
📝 (05:38) Ryan Dawson on figuring out the business objectives behind problems, the agile method, and seeking out meaningful feedback
🐛 (06:46) Paul Bailey with two frameworks for debugging — as a programmer —as well as an AI named Jane
💠 (10:55) Aditi Bhatnagar on doing the research and connecting the dots
🍔 (12:48) Alexey Grigorev on the MoSCoW method, the 80/20 rule, and much, much more
🎙️SUBSCRIBE TO THE HACKER NOON PODCAST ON , , PODBEAN, , or .
Hacker Noon's annual tech industry awards, , are the internet's most community-driven recognition program. Conceptualized in early 2019 — mostly as a ploy to distract readers from the inevitable bugginess of Hacker Noon 1.0, back when we first moved off Medium in July last year — The Inaugural Noonies did such a great job at generating a tonne of good vibes in the community, so we decided to make it an annual thing.
This year, we 10x'd opportunities for Nominees to start conversations around the ideas they care about — be it in the form of interview posts, AMAs, or podcasts.
Below are the first 3 episodes in the podcast series. Enjoy!You're in #GoodCompany: This year's Noonies are made possible by , , , , , , and .
Has what started with Satoshi spun off into an hype-driven, ICO-indulgent startup industry of solutions for nothing? Or is blockchain technology and the mass decentralization it makes possible still worth the hype? Answered in 5 minutes by two top Hacker Noon Contributors, Mario Alves and Vladimiros Peilivanidis, tune in for a special Decentralization Debate Club episode.
I asked 10 of Hacker Noon’s Top Contributors to weigh in with their strategic tech predictions for 2021 — you can expect a 14-minute briefing on everything from recession startups and (self) edtech, to AI applied to end Covid-19 and the commoditization of Machine Learning.