HN joelolawanle 9h ago

How to scrape any website and get structured data with a single API call

Guide on web scraping and converting unstructured HTML to clean structured JSON data without custom parsers.

HN dohguy 9h ago

Are TypeScript back end frameworks ready for AI Agents?

Benchmark comparing Claude Code agent performance building TypeScript backends across five frameworks with same tasks and evaluation rubric.

HN levmiseri 9h ago

Show HN: Asciidia – LLM-Powered Game

LLM-powered text adventure game where players conjure objects and the AI generates functionality and properties dynamically.

HN gaojiuli 9h ago

Show HN: Handsets – A high-performance Android control CLI, built for agents

High-performance Android device control CLI built for AI agents. Provides low-latency command execution via binary protocol and state mirroring.

HN enzo_ferrari 9h ago

Show HN: A SQLite graph that captures why AI-generated code exists

Reference architecture using SQLite graph to preserve reasoning and context in AI-generated code beyond individual sessions.

HN anhydrite 9h ago

LLM: Documentation driven exploration for big codebase

Project providing structured documentation skills for AI coding agents, maintaining docs in sync with code through hierarchical dependency matrices.

HN BaudouinVH 9h ago

China has named, defined and started governing agentic AI

Title-only post on China's governance framework for agentic AI. No details provided.

HN aashu_bel 9h ago

WebMCP: I Made My Website AI Agent Ready

Title-only post about making website AI agent-ready. No content provided.

HN Thenoahai 9h ago

Growing an AI orchestration platform to $3k MRR in 4 weeks

Founder built AI orchestration platform (Meerkats.ai) reaching $3k MRR in 4 weeks. Case study on GTM and growth strategy.

HN doppp 10h ago

Dust raises $40M Series B to scale multiplayer AI for human-agent collaboration

Dust raises $40M Series B funding to scale multiplayer AI platform for human-agent collaboration.

HN hpcaitech 10h ago

New API Models Launched

DeepSeek V4 Pro and V4 Flash models now available via HPC-AI.COM API with competitive pricing for LLM applications.

HN geox 10h ago

Merlin to Bring Military Autonomy Platform to Commercial Air Cargo

Merlin Labs extends autonomous pilot system from military to commercial cargo aircraft operations.

HN beast200 11h ago

Show HN: SkinMax – AI Skin Care Coach

Mobile app for skincare routine tracking with face scanning and AI insights.

HN nl 11h ago

OpenAI Stargate: where the US sites stand

Overview of OpenAI Stargate $500B AI data center infrastructure project across US sites.

HN AsteroidHunter 11h ago

Put yourself in a loop with your coding agents

Companion app for managing and switching between multiple Claude Code AI agent sessions.

HN matt_d 11h ago

[RFC] Open Access to Standards Documents – LLVM Project

RFC for LLVM project advocating ISO open access to standards documents for open source organizations.

HN kmdupree 11h ago

Show HN: FKS2G – LLM-backed metrics for deciding how closely to review code

LLM-backed CLI tool that analyzes code changes to determine review thoroughness needed.

HN SVI 11h ago

Technology usually creates jobs for young, skilled workers. Will AI do the same?

MIT analysis of how AI and technology impact employment for young skilled workers versus job displacement.

HN v4d1mv 11h ago

No JavaScript. No npms. Make realtime web apps in modern Java

Java-based toolkit for building stateful, server-rendered web applications without JavaScript.

HN javatuts 12h ago

Tokenspeed – How fast is 10 tokens per second really?

Interactive tool to visualize LLM token generation speeds across different hardware platforms and models.

Ax Austin Braniff (Department of Chemical and Biomedical Engineering, West Virginia University), Fengqi You (R.F. Smith School of Chemical and Biomolecular Engineering, Cornell University), Yuhe Tian (Department of Chemical and Biomedical Engineering, West Virginia University) 13h ago

Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing

Quantum-enhanced reinforcement learning framework for chemical process synthesis with improved scalability.

Ax Shuaida He, Liwen Chen, Long Feng 13h ago

Federated LoRA Fine-Tuning for LLMs via Collaborative Alignment

Federated learning framework for parameter-efficient LoRA fine-tuning of LLMs with heterogeneous clients.

Ax Camille Touron, Gabriel V. Cardoso, Julyan Arbel, Pedro L. C. Rodrigues 13h ago

Theoretical guidelines for annealed Langevin dynamics in compositional simulation-based inference

Theoretical guidelines for compositional score-based simulation-based inference using annealed Langevin dynamics.

Ax Krishnakumar Balasubramanian 13h ago

Large-Step Training Dynamics of a Two-Factor Linear Transformer Model

Gradient descent analysis of simplified linear transformer learning in-context regression at large learning rates.

Ax Yicheng Feng, Xin Tan, Yangtao Deng, Yimin Jiang, Yibo Zhu, Hong Xu 13h ago

Frontier: Towards Comprehensive and Accurate LLM Inference Simulation

High-fidelity LLM inference simulator supporting disaggregated execution, complex parallelism, and agent workloads.

Ax Lucheng Fu, Ye Yu, Yiyang Wang, Yiqiao Jin, Haibo Jin, B. Aditya Prakash, Haohan Wang 13h ago

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization

Prompt optimization method using regularization to prevent distributional overfitting and improve LLM generalization.

Ax Fares El Khoury, Houssam Zenati, Nathan Kallus, Michael Arbel, Aur\'elien Bibaut 13h ago

Semiparametric Efficient Bilevel Gradient Estimation

Semiparametric debiasing theory for bilevel gradient estimation using efficient influence functions.

Ax Akshay Manglik (Emily), Apaar Shanker (Emily), Kaustubh Deshpande (Emily), Jason Qin (Emily), Yash Maurya (Emily), Veronica Chatrath (Emily), Vijay S. Kalmath (Emily), Levi Lentz (Emily), Yuan (Emily), Xue 13h ago

Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents

Systematic corpus-level trace diagnostics tool for identifying and diagnosing failure patterns in LLM agent execution traces.

Ax Hongzhi Ruan, Pei Liu, Weiliang Ma, Zhengning Li, Xueyang Zhang, Jun Ma, Dan Xu, Kun Zhan 13h ago

Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training

Data mixture optimization framework for efficient real-synthetic co-training in autonomous driving end-to-end learning.

Ax Yi Liu, Jia Ma, Wengen Li, Jihong Guan, Shuigeng Zhou, Yichao Zhang 13h ago

Disentangling Generation and Regression in Stochastic Interpolants for Controllable Image Restoration

Hybrid method combining generative and regression approaches for fast, efficient image restoration via stochastic interpolants.

Ax Liang Wu, Kelly Wan, Mayank Darbari, Liangjie Hong 13h ago

Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G

Vision paper on natively integrating AI into 6G networks for autonomous and resilient cellular systems.

Ax Antoine Maillard, Sebastian Goldt 13h ago

Memorisation, convergence and generalisation in generative models

Theoretical analysis of memorization vs. generalization in diffusion models through independent training on dataset subsets.

Ax Elle Miller, Jayaram Reddy, Ayush Deshmukh, Trevor McInroe, David Abel, Oisin Mac Aodha, Sethu Vijayakumar 13h ago

roto 2.0: The Robot Tactile Olympiad

Benchmark for standardizing tactile-based reinforcement learning across robotic morphologies with GPU parallelization.

Ax Alim Igilik 13h ago

Neural Negative Binomial Regression for Weekly Seismicity Forecasting: Per-Cell Dispersion Estimation and Tail Risk Assessment

Neural negative binomial regression architecture for weekly earthquake forecasting with per-cell dispersion estimation.

Ax Harsh Parikh, Gabriel Levin-Konigsberg, Dominique Perrault-Joncas, Alexander Volfovsky 13h ago

Mind the Sim-to-Real Gap & Think Like a Scientist

Framework for deciding when to supplement pre-trained simulators with real experiments under budget constraints.

Ax Junshu Pan, Panzhong Lu, Yixuan Weng, Qiyao Sun, Fang Guo, Zijie Yang, Qiji Zhou, Yue Zhang 13h ago

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists

AI-driven platform for publishing and organizing human and AI-generated research, addressing scalability in academic publishing.

Ax Henrietta Baker, Matthew R. Hallowell, Antoine J. -P. Tixier 13h ago

AI-based Prediction of Independent Construction Safety Outcomes from Universal Attributes

ML approach to predict construction safety outcomes from incident reports using NLP and machine learning models.

Ax Karol Dziedziul, Sergey Kryzhevich, Pawe{\l} Wieczy\'nski 13h ago

Mercer Large-Scale Kernel Machines from Ridge Function Perspective

Mathematical perspective on kernel machines using ridge function approximation theory and random features.

Ax Wenjia Wang, Xiaowei Zhang 13h ago

On the Suboptimality of GP-UCB under Polynomial Effective Optimism

Theoretical analysis of GP-UCB optimality for sequential optimization of black-box functions through effective optimism levels.

Ax Mohamad Fares El Hajj Chehade, Amrit Singh Bedi, Amy Zhang, Hao Zhu 13h ago

TRAM: Test-Time Risk Adaptation with Mixture of Agents

TRAM enables test-time adaptation of RL agents to new safety constraints by compositing a mixture of pre-trained risk-neutral policies without retraining.

Ax Xingyu Xie, Kuangyu Ding, Shuicheng Yan, Kim-Chuan Toh, Tianwen Wei 13h ago

Optimization Hyper-parameter Laws for Large Language Models

Presents Optimization Hyper-parameter Laws framework for deriving dynamic learning rate schedules and other optimization parameters during LLM training.

Ax Sergio Romero-Tapiador, Ruben Tolosana, Aythami Morales, Blanca Lacruz-Pleguezuelos, Sofia Bosch Pastor, Laura Judith Marcos-Zambrano, Guadalupe X. Baz\'an, Gala Freixer, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia, Isabel Espinosa-Salinas, Enrique Carrillo de Santa Pau 13h ago

Personalized Weight Loss Management through Wearable Devices and Artificial Intelligence

Uses wearable device data and ML to predict weight loss in overweight individuals from biomarkers, vital signs, and behavioral data.

Ax Sanghyeon Lee, Sangjun Bae, Yisak Park, Seungyul Han 13h ago

Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning

Proposes self-improving mechanism for skill-based meta-RL to reduce sensitivity to noisy offline demonstrations in long-horizon environments.

Ax Prasanna Mayilvahanan, Thadd\"aus Wiedemer, Sayak Mallick, Matthias Bethge, Wieland Brendel 13h ago

LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws

Investigates factors influencing loss-to-loss scaling laws that relate pretraining and downstream task losses for LLM optimization and generalization.

Ax Zheli Xiong 13h ago

Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading Strategies

Studies ensemble RL models (A2C, PPO, SAC) combined with classifiers for financial trading strategy optimization.

Ax Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi 13h ago

Why Ask One When You Can Ask $k$? Learning-to-Defer to the Top-$k$ Experts

Extends Learning-to-Defer framework to allocate queries to top-k experts instead of single expert, unifying multiple prediction paradigms.

Ax Keisuke Kawano, Takuro Kutsuna, Naoki Hayashi, Yasushi Esaki, Hidenori Tanaka 13h ago

CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots

Proposes CT-OT Flow to estimate continuous-time dynamics from discrete temporal snapshots using optimal transport methods.

Ax Jinbo Wang, Mingze Wang, Jiaqi Zhang, Wei Wang, Peng Pei, Xunliang Cai, Weinan E, Lei Wu 13h ago

GradPower: Powering Gradients for Faster Language Model Pre-Training

Introduces GradPower, a lightweight gradient transformation technique using sign-power elementwise operations to accelerate language model pre-training.

Ax Zesen Wang, Lijuan Lan, Yonggang Li 13h ago

Time-Prompt: Integrated Heterogeneous Prompts for Unlocking LLMs in Time Series Forecasting

Uses heterogeneous prompting techniques to improve LLM performance on time series forecasting tasks compared to traditional deep learning methods.

Ax Jaebak Hwang, Sanghyeon Lee, Jeongmo Kim, Seungyul Han 13h ago

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning

Proposes Strict Subgoal Execution for hierarchical RL in long-horizon tasks, improving subgoal feasibility and high-level planning reliability.