186 Blog Posts To Learn About Hackernoon Community
Learn everything you need to know about Hackernoon Community via these 186 free HackerNoon blog posts.
1. HackerNoon Community is a global network of writers, readers, and technologists who engage with the platform to share knowledge, insights, and stories about technology.
2. The community fosters a vibrant ecosystem for collective learning and industry discourse, promoting diversity, innovation, and support.
3. 186 free blog posts are available on HackerNoon, ordered by reader engagement data, providing a comprehensive resource for learning about various technologies.
4. Two notable writing contests are highlighted: The Linux Writing Contest hosted by Linode and HackerNoon, and The IP Geolocation Writing Contest co-hosted by IP2Location and HackerNoon.
5. Creating a writing contest on HackerNoon is also discussed, with instructions on how to skip influencers and start your own contest.
6. The Noonies, HackerNoon's most democratic awards, are introduced as tech industry accolades presented by the community. Nomination for the 2021 edition closes on November 14.
7. An interview with Alexey Shepelev, a 2022 Noonies nominee, is featured, discussing his journey and expertise in Full Stack development and True Black.
8. Tips and strategies from winners of the #crypto-api writing contest are shared to help participants improve their chances of winning similar contests on HackerNoon.
9. HackerNoon launches the third annual #Noonies nomination, open to the public, with voting starting on November 15 and ending on January 26, 2022.
10. Two additional writing contests are mentioned: The Web Development Writing Contest by IONOS, with announced winners, and The Cybersecurity Writing Contest 2022, Round 2 results announced by Twingate and HackerNoon.
11. The Identity Hexagon feature is introduced, allowing users to use NFTs as their HackerNoon profile picture, adding a new dimension to the community's digital identity.
Written by urgent.news from HackerNoon's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.