Hackernoon

Hackernoon

Hackernoon's Articles

The "Spinner of Death": Why Localhost Latency is Lying to You

The "Spinner of Death": Why Localhost Latency is Lying to You

The "Localhost" Bias can make your app feel fast. You need to talk directly to the browser engine to test this properly. Emulate a "Bad 3G" connection using the

PEPE Drops 10% This Month as This $0.035 Altcoin Is Over 99% in Phase Allocation, Analysts Compare

PEPE Drops 10% This Month as This $0.035 Altcoin Is Over 99% in Phase Allocation, Analysts Compare

Pepecoin, known as PEPE, became one of the most talked about meme coins during its early run. MUTM is a new crypto focused on lending and borrowing rather than

From Cells to the Future of AI and Everything in Between: Entity Formation

From Cells to the Future of AI and Everything in Between: Entity Formation

From cells and fungi to books, transistors and GPUs, progress does not come from smarter components but from new forms of organization. This piece explores how

The HackerNoon Newsletter: How to Build a Cloud-Native SaaS Backend on GCP (12/23/2025)

The HackerNoon Newsletter: How to Build a Cloud-Native SaaS Backend on GCP (12/23/2025)

How are you, hacker? 🪐 What’s happening in tech today, December 23, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On

Overcoming Training Costs in Index Advising: The Need for IA2

Overcoming Training Costs in Index Advising: The Need for IA2

Current RL-based index selection methods like SWIRL support multi-attribute indexes but face high training costs and complex pruning rules.

Reducing TPC-H Workload Runtime by 40% with IA2 Deep Reinforcement Learning

Reducing TPC-H Workload Runtime by 40% with IA2 Deep Reinforcement Learning

IA2 uses the TD3-TD-SWAR model and DRL to optimize index selection, reducing TPC-H workload runtime by 40% via adaptive action masking.

Governing and Scaling AI Agents: Operational Excellence and the Road Ahead

Governing and Scaling AI Agents: Operational Excellence and the Road Ahead

Defines “AgentOps”: metrics, monitoring and feedback loops to run AI agents as long-lived products rather than fragile pilots Surveys the emerging tooling and

Meet the Writer: Anton Pechenin on Argo Workflows, Distributed Systems, and AI Infrastructure

Meet the Writer: Anton Pechenin on Argo Workflows, Distributed Systems, and AI Infrastructure

A veteran software engineer shares how curiosity about Argo Workflows led to his first HackerNoon article, plus insights on writing, AI infrastructure, and platform

Why Yala's AI Agent Could Change How Traders Price Uncertainty Forever

Why Yala's AI Agent Could Change How Traders Price Uncertainty Forever

Yala 2.0 deploys AI-native fair value agents to transform prediction market pricing through a three-stage roadmap. The system processes historical trading data,

Can Math Fix Uniswap v3 LP Losses? New Strategy Says Yes, but With a Catch

Can Math Fix Uniswap v3 LP Losses? New Strategy Says Yes, but With a Catch

Using Uniswap v3 data from 2022, this study shows that an optimal, frequently rebalanced liquidity strategy can outperform typical LP behavior by offsetting impermanent