Meet Contiant, Picky, and Dar Blockchain: HackerNoon Startups of the Week

Hey Hackers! Welcome to another edition of HackerNoon Startups of The Week, where we highlight standout innovators from the Startups of The Year 2024 database. This week, we’re spotlighting three forward-thinking companies redefining how we connect, collaborate, and create value in the digital age: Contiant, Picky, and Dar Blockchain. :::tip Share Your Startup’s Story Today! ::: Meet the … Read more

33 Hot Tech Takes on Atlas, the New AI Browser by OpenAI

OpenAI launched ChatGPT Atlas, an AI-powered browser that integrates ChatGPT into every browsing session with features like browser memory and autonomous agent mode. The announcement sparked fierce debate: tech enthusiasts see it as the future of web browsing, while privacy advocates warn it’s a “brain-smoothing privacy nightmare.” Built on Chromium (ironically, Google’s own open-source engine), … Read more

The AI Flywheel: A Product Leader’s Guide to Building Compounding Growth

The traditional sales funnel is being replaced by compounding growth loops, especially in AI products. This model turns a product’s output into its own acquisition channel, creating sustainable, capital-efficient growth. This guide breaks down the three core AI-powered loops (Viral, Content, Integration) and provides a strategic blueprint for product leaders to build and measure them … Read more

Mutuum Finance (MUTM) Nears $18M Raised, Renewing Confidence In the DeFi Crypto Market

As the crypto market prepares for its next major cycle, few projects have captured investor attention quite like Mutuum Finance (MUTM). The rising DeFi crypto project has nearly reached the $18 million fundraising milestone — a number that underscores the growing appetite for real utility in a market saturated with speculation. With over 17,350 investors … Read more

Gerald Edelman’s Radical Ideas About Mind, Memory, and Machines

:::info Author: Jeffrey L. Krichmar, Department of Cognitive Sciences, Department of Computer Science, University of California, Irvine Irvine, CA 92697-5100 (jkrichma@uci.edu). ::: Table of Links Abstract and 1. Introduction Background and History Roadmap to a Conscious Artifact Hidden Gems Final Thoughts, Acknowledgments, and References ABSTRACT In 2006, during a meeting of a working group of … Read more

Real-Time Sync: The Missing Piece in Cross-Platform LLM Chat Apps

With LLM chat applications becoming mainstream, I’ve noticed something quite interesting. Most major companies now offer their apps across Android, iOS, macOS, and Windows – which is great, really. We can work from any device we want. But here’s the thing that’s been frustrating me: synchronization. Imagine this – I’m working on a chat on … Read more

Cognitive Bias Is the New Technical Debt in Marketing

Two years ago, a mid-size retailer’s AI-driven ad platform boosted impressions by 40%. They celebrated—until the quarterly report showed revenue flat. The AI had optimized for visibility, not sales. What if your biggest performance leak isn’t in your metrics, but in your mindset? Cognitive bias is the new technical debt. You can’t see it accumulating, … Read more

From Automation to Autonomy: How AI is Transforming Site Reliability Engineering

I’ve been covering reliability incidents and infrastructure breakdowns for fifteen years. I remember when site reliability was mostly about pagers, runbooks, and lucky Friday afternoons when nothing exploded. The toolkit was simple: alert thresholds, escalation policies, and a deep bench of sleep-deprived engineers. The model worked for a time. Then microservices arrived. Then cloud sprawl. … Read more

The Hidden Economics of Reliability: Balancing Uptime, Cost, and Innovation in DevOps

I spent three hours last Tuesday on a call with a VP of Engineering who’d just burned through their entire quarterly error budget in 48 hours. A botched deployment. The kind you’ve seen before—overly optimistic testing, insufficient canary coverage, and a cascading failure that took down three critical services. The financial damage was immediate: SLA … Read more

How to Get so Exponentially Smart it Feels Illegal

Most people think intelligence is fixed. You’re born smart or you’re not. End of story. This is Industrial Age propaganda designed to keep you in your lane. Intelligence isn’t your SAT score or how quickly you can solve puzzles. Intelligence is your ability to systematically improve outcomes in areas that matter to you, while remaining … Read more

Smart Attacks, Smarter Defenses: How AI is Transforming DDoS Attacks

Picture this – It’s a Tuesday morning, and your company’s entire customer-facing/digital platforms go blank. Your website won’t load, your app shows error messages, and customer support lines explode with complaints. Your IT team investigates internally, thinking it’s a server issue or a cloud provider outage, but thirty minutes in, they realize that you’re under … Read more

Your Data, Your Rules: AI’s Demand for Customer-Controlled Architectures

AI is rewriting the rules of enterprise software. The first wave of SaaS moved data into vendor-controlled clouds. The new wave moves software and models to the data, inside the customer’s infrastructure. Training a state-of-the-art large language model requires data volumes that would have been unimaginable during the SaaS era. IDC’s 2024 AI Infrastructure Survey … Read more

The Simple Document Everyone Should Read to Understand Artificial Intelligence

Large Language Models (LLMs), like ChatGPT, translate words into numerical vectors so they can process them and produce intelligent, reasoned text. But… how does that really work? In this article, I won’t talk about mathematical functions, probabilities, or neural networks. I’ll explain what really happens — in a way anyone can understand. What Are Numerical … Read more

The AI Gatekeeper Test: Why Your Expertise Is Worthless If Algorithms Can’t Find It

When machines decide who gets through the door, being good isn’t enough anymoreI had to make an investment for my parents yesterday. It took me a millisecond and I thought “Xavier.” He’s part of a group of entrepreneurs that just started an investment fund. I reached out to him immediately, he replied, 100k minimum investment. … Read more

The Atlas Super-Browser: A Security Nightmare Dressed as the Next Big Thing

A thought experiment on the security and privacy implications of an AI-native web browser. The tech world is abuzz with the (until recently, hypothetical) launch of OpenAI’s “ChatGPT Atlas” browser. First reported by The Register and PCMag, Atlas represents what many see as the inevitable next step in our relationship with the internet: a browser … Read more

The TechBeat: Designing Production-Ready RAG Pipelines: Tackling Latency, Hallucinations, and Cost at Scale (10/23/2025)

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Stop Rebuilds! Reload Your Code Live in a Docker Container With Bind Mounts By @mahakshah [ 3 Min read ] Docker … Read more

React 19: New Tools To Work With Forms

This article walks through the common struggles developers face when dealing with forms — and how React 19 finally introduces some long-awaited tools that make form handling cleaner, more declarative, and far less error-prone. Over the past six years in frontend development — from building complex form systems to integrating AI tools at SDG — … Read more

Code Smell 08 – Send Messages Only to Your Direct Acquaintances, Not Their Friends

Long chains of method calls create tight coupling and ripple effects. Any change in the chain breaks dependent code. TL;DR: Send messages only to your direct acquaintances, not their friends. Problems 😔 Tight Coupling Broken encapsulation Ripple effect Fragile, brittle design Poor readability Difficult testing and maintenance Solutions 😃 Create intermediate methods. Apply the Law … Read more

How Attention-Based Models Outperform Traditional Bitcoin Fee Estimators

Table of Links Abstract and 1. Introduction Preliminaries Problem definition BtcFlow Bitcoin Core (BCore) Mempool state and linear perceptron machine learning (MSLP) Fee estimation based on neural network (FENN) Experiments Conclusion, Acknowledgements, and References 8 Experiments The datasets, experimental evaluation metrics, and transaction fee estimation solutions are all introduced in this part. Following that, we … Read more

Toto: Time Series Optimized Transformer for Observability

Table of Links Background Problem statement Model architecture Training data Results Conclusions Impact statement Future directions Contributions Acknowledgements and References Appendix 6 Conclusions Toto, through a novel architecture and pre-training corpus, demonstrates state-of-the-art performance both on public benchmarks and on the Datadog observability benchmark. We look forward to sharing many more technical details, experiments, and … Read more