HackerNoon | Learn Any Technology

The internet is overflowing with software that looks cool but fails to help anyone. Let's fix that. 🛠️ HackerNoon proudly announces the Proof of Usefulness Hackathon (Jan 5 - June 5). We are rewarding $150k+ in prizes for projects with real-world utility. Projects are evaluated under these themes: 💻 Foundational Tech: #softwaredevelopment #machinelearning #softwareengineering #security #startup #fintech #web3 🤖 Data & AI: #ai #generativeai #aiagents #webdevelopment #datascience #api #automation #data 🧱 Content Architecture: #APIFirstCMS #OmnichannelContent #FirstCMS 🕸️ Graph Intelligence: #GraphDatabase #KnowledgeGraph #DataIntelligence #GraphRAG #ContextualRetrieval #GraphPoweredAgent 🔍 Intelligent Search: #AISearch #Retrieval #RetrievalAugmentedGeneration #SemanticSearch #SearchAPI Perks: 💰 $20k Cash pool ☁️ $130k+ Software credits 🎁 $1,500+ in free access for EVERY participant Does your code actually work? Prove it. Submit here: proofofusefulness.com Sponsored by: #BrightData @neo4j @storyblok @algolia

Thanks for featuring my article, @hackernoon #buildinpublic #indiehackers #awards

Nosana is teaming up with @hackernoon and leading ecosystem partners on a new builder-focused initiative 🤝 The goal: to bring together AI, compute, and ecosystem collaboration in a way that’s actually useful for the people building with these tools. More details coming soon!

@HackerNoon & @SanderCharlie discuss why #cloudmonitoring is the best way for districts to secure user activity across files and apps. You need visibility to see and respond in real time! Read further: hubs.ly/Q04fxLDJ0

Excel automation in C# can look very different depending on the library and workflow involved. A closer look at how NPOI and IronXL handle spreadsheet processing in .NET applications. Read the analysis: hackernoon.com/comparing-apac…

"What AI industrializes isn't bad content — it's plausible mediocrity: grammatically correct, structurally coherent, superficially persuasive, competently formatted, and almost indistinguishable from average," @DavidSmooke Read the full story: hackernoon.com/why-internet-c…

1/ The internet solved the problem of who gets to publish and scaled the problem of deciding what is worth reading. In 1999: 23 blogs. Today: 600 million. 🧵 hackernoon.com/why-internet-c…

2/ The Internet Did Not Remove Editors — It Systematically Outranked Them A newspaper editor decides what gets printed. A social platform lets everything through and decides what spreads. The question stopped being "what gets published" and became "what gets seen."

3/ How Feeds Usurped Editorial Decisions Facebook normalized engagement-ranked over chronological. The feed prefers the rage-inducing post over the deeply researched essay. A thoughtful 2,000-word argument loses to a single emotionally optimized sentence.

4/ Moderation Scaled Faster Than Curation Moderation asks what to remove. Curation asks what deserves your limited attention. The internet got sophisticated at the first question and structurally weak at the second.

5/ Every Platform Thinks It's Everything LinkedIn began as a professional identity layer. No PM wrote a spec for the LinkedIn post format. The engagement system selected for it and that trained professionals to write that way.

6/ Quantity Has Better Metrics Than Quality Quality is expensive to evaluate. Quantity is cheap to count. A database can measure clicks and watch time with perfect precision. Originality, intellectual honesty, and clarity of thought don't compress into a column.

7/ AI Intensifies the Existing Problem, DUH Before ChatGPT: ~5% of web articles were AI-generated. By Nov 2024: 50%. By April 2025: 74%. What AI industrializes isn't bad content — it's plausible mediocrity.

8/ Small Editorial Decisions Matter More Than Grand Philosophies Wikipedia's quality emerged because it built systems that rewarded citations, revision history, and visible editorial correction. The platform embedded epistemology into product design.

9/ Can Quality Usurp Quantity? Why Editorial Friction Matters @hackernoon rejects about 55% of submissions. When editors retitled headlines, stories were 4x more likely to surpass 1,000 reads. No dashboard shows you the impact of what you chose not to publish.

10/ Publishing got cheap. Attention didn't. The internet communities that survive long-term won't publish the most. They'll build trustworthy systems for helping people decide what's worth reading at all. hackernoon.com/why-internet-c…

David Smooke says he prefers using the underlying AI model directly for the use case instead of relying on extra app layers or wrappers, because he sees the foundational platforms as more flexible. "I use less tools and more calling foundational models" @DavidSmooke

How do corporations make decisions about AI tools and automations? We're discussing it right now in a live session at our AI Skills online conf with: Tanya Roosta, Director of AI @AMD @DavidSmooke , Founder @hackernoon @andrewzakonov, Board member @jetbrains Arun Karthik @ Condé Nast

Generating PDFs in C# can involve very different approaches depending on formatting needs, rendering requirements, and application architecture. This article looks at several PDF generation methods used in .NET environments: hackernoon.com/how-to-create-…

Governance, risk, and compliance workflows can vary widely depending on organizational structure, reporting requirements, and internal processes. This piece reviews several GRC platforms used across different operational environments: hackernoon.com/12-best-govern…

Industrial engineering workflows still involve a large amount of manual documentation, compliance review, and specification handling. This article looks at how AI and AR tools are being applied to some of those processes: hackernoon.com/how-luminvera-…