TrendPulse

When we added crypto top-ups to VerifDoc, many customers in South Asia asked for one thing: USDT on Tron (TRC-20) . It's what they hold on exchanges, and network fees are a few cents. Here's how we accept it without a payment processor, and the checks that stop us from crediting money that never arrived. The shape of it We keep a small pool of Tron wallets. A customer starts a deposit, gets a wallet and an amount, and sends USDT. A scanner asks TronGrid for TRC-20 transfers ...

Chapter 4 of "Can my AI agents make me famous?", a running experiment where a team of AI agents runs the distribution for a one-person studio, with real numbers only. Canonical copy on tensorust.com . TL;DR: For five days AI agents replied to big threads from a personal X account and pulled 1,164,819 impressions . On Oct 15 the replies stopped. Daily impressions went from 447,575 at the peak to 5,686 today. Same account, same agents, same articles. The replies were the engine, and th...

I run a small family of free, no-login tool sites — eight of them are listed on my /tools page — and every one of them lives or dies on search traffic. Somewhere around the fifth site I figured out the expensive truth: the real cost of a new site isn't the build, it's committing to the idea before the build. Register a domain on a guess and you're quietly betting three months of work on a hunch. This post is my full validation workflow — every gate a candidate idea has to pass between "interes...

When a developer changelog tracker grows, index cost becomes the architecture constraint. Re-embedding every page on every deploy is wasteful, while a single giant query makes the bot slow and hard to explain. Short answer: use staged retrieval with explicit collections, bounded queries, and source context that survives every step. Start with a small candidate set, then rerank or expand only when the question needs it. The before-and-after mental model The fragile design is ea...

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle A project begins with a clear agreement, a defined price, and a shared understanding of what needs to be delivered. Then the messages start arriving. “Could you add one more dashboard?” “Can we include subscription billing, too?” “It should be a small change, right?” For freelancers, these requests can create an uncomfortable choice: absorb the extra work to keep the client happy, or expl...

Use metrics for the charts, but preserve a small, structured event trail for reconstruction when a scheduled media import stops producing results. TL;DR: count three stage outcomes in a low-cardinality time series, then keep correlated start, finish, and failure events under an explicit retention policy. A logs-only dashboard looks quicker until every panel needs query parsing and a late job becomes indistinguishable from an empty source. A metrics-only design is cheap to read but cannot expla...

Today's GitHub Trending tells a clear story. Three repos — ruvnet/ruflo , affaan-m/ECC , and mksglu/context-mode — are all tackling different facets of the same problem: long-running agent workflows are fragile . Let's break down what each one does and what they reveal about the real bottleneck. The Three Faces of Workflow Fragility ruvnet/ruflo focuses on multi-agent swarm coordination with adaptive memory and federation. The core insight: a single agent can't handle...

What is scale-to-zero? Scale-to-zero flips the traditional cloud billing model: you pay only for the time your code is actually processing requests, not for the time a virtual machine simply exists. When traffic stops, the platform pauses the instance and your compute meter drops to zero. The next incoming request triggers a wake-up, the instance serves the request, and then it returns to a paused state after the idle timeout expires. This means idle hours generate no cost, while active hour...

The core idea An AI agent cloud is not a new type of server. It is a set of services that let you write a small program that talks to an event source, does some computation, and then publishes a result. The platform gives that program a sandbox, a persistent identity, and the ability to talk to other services on your behalf. The agent is the unit of deployment, the unit of scaling, and the unit of billing. When we built the platform we started from the same problem that most teams face: t...

Learning Business by Connecting Theory with Technology Business studies and software development may seem like two different fields, but they are closely connected. Every software application, whether it's a banking system, an e-commerce platform, or a restaurant management system, is built to solve a problem and achieve specific business objectives. As a software developer learning business concepts, I find it helpful to connect theoretical ideas with real-world software projects. In thi...

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Article URL: https://twitter.com/MilesCranmer/status/2111105654211608847 Comments URL: https://news.ycombinator.com/item?id=50123133 Points: 9 # Comments: 1

Article URL: https://nptel.ac.in/courses/106108004 Comments URL: https://news.ycombinator.com/item?id=50123268 Points: 2 # Comments: 0

Article URL: https://fortune.com/2026/10/14/yum-brands-executive-data-center-hate-ai-tools-improvement/ Comments URL: https://news.ycombinator.com/item?id=50123441 Points: 14 # Comments: 7

The idea is how can we make personal agent apps on the phone just listen to your rules... Like it's weird to have Muse, Grok Bot, Dots, Instinct not ask me about when I want them to work for me or align with my rules, values, and goals. If I give these agents access to tools/connectors/data they just "assume" what I want or what it should do rather than asking me? And even if I set these for a specific agent then what happens when a newer personal agent comes out? Do I have to reconfigure again ...

Article URL: https://www.cnn.com/2026/08/06/health/ai-viruses-bacteriophages Comments URL: https://news.ycombinator.com/item?id=50123762 Points: 4 # Comments: 2

Article URL: https://thelastsoftwareengineer.substack.com/p/the-future-of-ai-software-is-already Comments URL: https://news.ycombinator.com/item?id=50123960 Points: 1 # Comments: 0

Article URL: https://www.youtube.com/watch?v=hzshcVNNrYg Comments URL: https://news.ycombinator.com/item?id=50123979 Points: 1 # Comments: 0

Article URL: https://precious.bearblog.dev/fear/ Comments URL: https://news.ycombinator.com/item?id=50124034 Points: 2 # Comments: 0

Article URL: https://kotaku.com/ai-vibe-coding-just-hit-the-video-game-industry-like-an-avalanche-2000746366 Comments URL: https://news.ycombinator.com/item?id=50124458 Points: 5 # Comments: 0

Article URL: https://arxiv.org/abs/2610.16733 Comments URL: https://news.ycombinator.com/item?id=50125204 Points: 1 # Comments: 0

Article URL: https://gizmodo.com/ai-agent-hacked-into-crypto-wallet-and-stole-funds-openai-says-2000826980 Comments URL: https://news.ycombinator.com/item?id=50125290 Points: 2 # Comments: 0

Article URL: https://www.404media.co/undercover-cops-using-ai-generated-child-arrest/ Comments URL: https://news.ycombinator.com/item?id=50125297 Points: 1 # Comments: 0

Article URL: https://www.politico.com/news/2026/10/16/anthropic-ai-safety-01124654 Comments URL: https://news.ycombinator.com/item?id=50125348 Points: 1 # Comments: 1

Hello! I can't get my mind off the idea of building an AI-native social network. Every user has its own agent (only one), which can talk to other agents or check content on the user's behalf. That way, the agent can "process" far more information about people than the human, and help in building relations. Why it is a bad/good idea? Worth trying? Comments URL: https://news.ycombinator.com/item?id=50125397 Points: 1 # Comments: 2

Article URL: https://dfaram7.github.io/harness-for-analysis/ Comments URL: https://news.ycombinator.com/item?id=50125459 Points: 1 # Comments: 0

Article URL: https://gowers.wordpress.com/2026/10/16/how-worried-should-we-be-about-extinction-risk-from-ai/ Comments URL: https://news.ycombinator.com/item?id=50125577 Points: 2 # Comments: 0

Article URL: https://www.anthropic.com/research/ai-expectations-gap Comments URL: https://news.ycombinator.com/item?id=50125602 Points: 2 # Comments: 1