Tech

:::info Astounding Stories of Super-Science February, 2026, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Moors and the Fens, volume 1 (of 3) – Chapter XVI: Cousin Allan Astounding Stories of Super-Science February 2026: The Moors and the Fens, volume 1 … Read more

:::info Astounding Stories of Super-Science February, 2026, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Moors and the Fens, volume 1 (of 3) – Chapter XVI: Cousin Allan Astounding Stories of Super-Science February 2026: The Moors and the Fens, volume 1 … Read more

The SERP API market is crowded, but not every provider delivers the integrations, reliability, and speed needed to power AI agents, deep research workflows, and large-scale scraping pipelines. So we put nine Google Search API providers to the test: Bright Data 🏆 SerpApi HasData Scrapingdog Serper SearchApi DataForSEO Zenserp Serply In the benchmarks below, we … Read more

The SERP API market is crowded, but not every provider delivers the integrations, reliability, and speed needed to power AI agents, deep research workflows, and large-scale scraping pipelines. So we put nine Google Search API providers to the test: Bright Data 🏆 SerpApi HasData Scrapingdog Serper SearchApi DataForSEO Zenserp Serply In the benchmarks below, we … Read more

When new features are rolled out, testing remains the biggest bottleneck. n Typically, the workflow goes something like this: build a feature, create a PR, push to CI, skim through some screenshots, and hope nothing breaks in production when the user hits. n Now, don’t get me wrong, shipping new features quickly is great, but … Read more

When new features are rolled out, testing remains the biggest bottleneck. n Typically, the workflow goes something like this: build a feature, create a PR, push to CI, skim through some screenshots, and hope nothing breaks in production when the user hits. n Now, don’t get me wrong, shipping new features quickly is great, but … Read more

:::info Astounding Stories of Super-Science February, 2026, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Moors and the Fens, volume 1 (of 3) – Chapter XV: A Discovery Astounding Stories of Super-Science February 2026: The Moors and the Fens, volume 1 … Read more

:::info Astounding Stories of Super-Science February, 2026, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Moors and the Fens, volume 1 (of 3) – Chapter XV: A Discovery Astounding Stories of Super-Science February 2026: The Moors and the Fens, volume 1 … Read more

We analyzed 170+ million residential proxy IPs over a 90-day period (86M IPv4, 87M IPv6) and discovered two patterns that explain why fraud detection is so hard: 46% of residential proxy IPs appear across multiple provider networks simultaneously (70% for IPv4, 22% for IPv6). The same compromised infrastructure, infected routers, malware-laden devices, bandwidth-sharing apps, is accessible … Read more

We analyzed 170+ million residential proxy IPs over a 90-day period (86M IPv4, 87M IPv6) and discovered two patterns that explain why fraud detection is so hard: 46% of residential proxy IPs appear across multiple provider networks simultaneously (70% for IPv4, 22% for IPv6). The same compromised infrastructure, infected routers, malware-laden devices, bandwidth-sharing apps, is accessible … Read more

Engineering teams are shipping more code than ever, driven by distributed systems and AI-assisted development. Defect prevention and resolution, however, still operate as manual, reactive work. This creates a structural imbalance: output scales, but reliability and confidence do not. Teams feel constantly busy yet perpetually behind, a signal that the operating model itself is no … Read more

Engineering teams are shipping more code than ever, driven by distributed systems and AI-assisted development. Defect prevention and resolution, however, still operate as manual, reactive work. This creates a structural imbalance: output scales, but reliability and confidence do not. Teams feel constantly busy yet perpetually behind, a signal that the operating model itself is no … Read more

Shem Albert Photo courtesy of Seyond Machines still struggle to see. Autonomous vehicles miscalculate distances. Delivery robots stumble on curbs. Industrial sensors fail when the weather turns harsh. Seyond addressed this gap by constructing a full spectrum of LiDAR sensors spanning from 0.01 meters to 500 meters, giving robots the visual acuity needed to operate … Read more

Long before “engineering” became a formal career path, it was already part of Will Jiang’s daily life. Growing up in China, Jiang was the student teacher whom a classmate turned to when a laptop froze minutes before class. By high school, he was maintaining his school’s network infrastructure by diagnosing connectivity issues, keeping systems online, … Read more

Machine learning models often perform well during experimentation. Offline metrics improve, prototypes demonstrate potential, and early validation builds confidence across teams. In controlled environments, systems behave predictably and progress feels steady. The transition to production introduces a different set of pressures. Training jobs fail intermittently. Features arrive outside expected time windows. Historical data changes without … Read more

How Blitz scaled their game coaching app with lower latency and leaner operations Blitz is a fast-growing startup that provides personalized coaching for games such as League of Legends, Valorant, and Fortnite. They aim to help gamers become League of Legends legends through real-time insights and post-match analysis. While players play, the app does quite a … Read more