Tech

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

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. ## Why Everyone is Panic-Buying Mac Minis for OpenClaw / Moltbot / Clawdbot? By @alexisrozhkov [ 5 Min read ] the reality … Read more

Here’s a problem: say you’re ingesting roughly 4 million Reddit comments per day, and you need to detect the presence of 10,000 specific keywords in near real time. The naive answer is obvious – loop through each comment and keyword. Done. for comment in reddit_comments: for keyword in keywords: if keyword in comment: # alert … Read more

We got new model releases from xAI and Anthropic last week, and I wanted to give my quick impressions to help you know if/when you should care. This is just after a half day of testing, so my impressions may change, but… we’re usually locked in on the vibe pretty quickly. By the way, even if … Read more

This article argues that Substack is structurally designed to prevent guru-style power concentration. By aligning incentives around paid subscriptions instead of advertising, enabling peer-driven discovery, prioritizing ownership and exit rights, and building around long-form, trust-based relationships, Substack creates a distributed “garden” ecosystem. In an era where AI can mass-produce authoritative content, platforms that reward originality, … Read more

When Competition Becomes Clarity I’ve attended dozens of tech festivals. Most follow a familiar rhythm: morning keynotes, afternoon workshops, evening networking with samosas. You leave inspired, maybe connected, but rarely changed. Walking into AI FEST 2026 at Chandigarh University in February, I expected more of the same. What I witnessed instead was something I haven’t … Read more

I recently submitted Nullmail to Proof of Usefulness, and it scored +76 – officially “in business”! Here’s why this project matters. What It Is Nullmail is a verifiable, open-source privacy tool with active development and organic traction. While early-stage (approx. 10,000 monthly inboxes), the project’s ‘privacy-first’ architecture is validated by its open GitHub repository and … Read more

A Blade Runner riff for a world where the lobster ships paid endpoints while humans still argue about the roadmap. The shift that matters for agent commerce – From “Crypto AI” to general AI Today, you can search the web all day and never see an invoice. n That happens because you are not the … Read more

==I tested eight piano apps on two pianos for three weeks. Here’s what I’d actually recommend.== If you search for “best piano learning app” today, you will find dozens of comparison articles that all rank roughly the same eight products, yet almost none of them analyze the actual technology under the hood. That is a … Read more

Table of Links Abstract and 1. Introduction 2. Financial Market Model and Worst-Case Optimization Problem 3. Solution to the Post-Crash Problem 4. Solution to the Pre-Crash Problem 5. A BSDE Characterization of Indifferences Strategies 6. The Markovian Case 7. Numerical Experiments Acknowledgments and References Appendix A. Proofs from Section 3 Appendix B. Proofs of BASDE … Read more

Table of Links Abstract and 1. Introduction 2. Financial Market Model and Worst-Case Optimization Problem 3. Solution to the Post-Crash Problem 4. Solution to the Pre-Crash Problem 5. A BSDE Characterization of Indifferences Strategies 6. The Markovian Case 7. Numerical Experiments Acknowledgments and References Appendix A. Proofs from Section 3 Appendix B. Proofs of BASDE … Read more