Show HN: Danube – AI Tools Marketplace
Danube is a marketplace for AI agents to discover and execute tools securely. Developers can publish tools, and agents access them via MCP without seeing API keys.
Danube is a marketplace for AI agents to discover and execute tools securely. Developers can publish tools, and agents access them via MCP without seeing API keys.
Open source web UI for Claude and Copilot with embedded terminals, one-click LLM switching, running on localhost.
News article about Elon Musk's Terafab semiconductor manufacturing plans and the AI chip shortage.
Overnight is an open-source CLI tool that runs Claude Code autonomously by reading conversation history and predicting next steps. Enables 24/7 execution.
AgentContract defines behavioral contracts for AI agents, declaring must/must-not/can-do actions and enforcing them. Enables control and predictability for enterprise deployment.
Rubric is an open-source LLM monitoring tool that logs API calls, scores output quality, and alerts on drift. Supports multiple providers and frameworks.
OpenAI releases open-weight safety model gpt-oss-safeguard and prompt-based policies for teen-safe AI applications.
Overview of open-source text-to-speech models deployable locally. Compares quality, cost, and control versus cloud APIs.
Research on using AI agents to autonomously perform high energy physics experiments. Demonstrates autonomous scientific research capabilities.
Title-only article about the future of programming in the age of AI code generation.
Video of Doom being ported to AIX on IBM RS/6000 legacy system.
Technical research on LLM internals using layer duplication and probing methods. Discovered RYS method achieving top HuggingFace leaderboard ranking without training.
Self-hosted personal health data aggregation tool visualizing health metrics as weighted knowledge graph.
LeWorldModel: Joint Embedding Predictive Architecture for stable end-to-end world model learning from raw pixels without auxiliary supervision.
Personal project building an offline-first UK train journey planner with flexible search options beyond standard rail operator offerings.
TrendZero is a SaaS tool tracking emerging web signals to identify accelerating topics and provide AI-powered recommendations.
GitHub announcement about updates to Copilot free access for student developers.
macOS utility that eliminates sliding animation when switching spaces using CGEventTap.
Web page using Web Audio API to simulate tuning fork frequencies for healing therapy.
Tool for reviewing AI coding agent changes locally before pushing, solving code review bottleneck with PR-like workflows.
Case study of evaluating Cowork automation platform alongside Claude Enterprise for employee productivity integration with business tools.
Discussion prompt asking whether depending on AI for important tasks is risky.
OpenAI Foundation announces funding allocation and mission updates following company recapitalization.
ChatGPT shopping assistant using Agentic Commerce Protocol for product discovery and comparison.
Open source tool for overlaying map tiles onto Autodesk's 3D BIM Viewer with coordinate transform logic.
Engineer built an AgTech app using satellite imagery and weather data for local farmers. NDVI analysis and machine learning for vineyard management.
Modular 26.2 release adds image generation/editing workflows and improves Mojo for GPU kernel AI development.
ProofShot: CLI tool enabling AI coding agents to view browser output, capture screenshots/video/errors for verification during UI development.
Kern: AI agent framework maintaining single continuous session across CLI, Telegram, Slack with persistent local memory in plain folder.
Prompt repository with curated templates for data analysts covering exploration, cleaning, SQL, dashboards, and visualization.
Sandock: Docker-based sandbox for running AI coding agents with persistent volumes, POSIX compatibility, cost-effective alternative to VMs.
Discussion on whether system programming offers refuge from LLM-assisted development trends due to different performance priorities.
Discussion on providing free open-source AI access to underprivileged populations in developing regions.
Discussion of Human Source License for open source stream processing library built on PyDBSP.
Research showing expert personas improve LLM alignment but reduce accuracy, trade-offs in prompt engineering.
Comprehensive reading list tracing 53-year research lineage of AI agents from 1970s theoretical foundations through modern implementations.
Shard-based scheduling system for scaling LLM fine-tuning experiments on limited GPU resources, enabling 100x more experiments on 4 GPUs.
GPU-accelerated Texas Hold'em poker solver claiming 4x speedup over existing tools. Domain-specific application, not AI/ML research.
Benchmark dataset for evaluating LLMs on financial tasks. Minimal content provided but addresses important evaluation gap.
Personal blog rant about software fragility and build tool warnings. No technical insights or data presented.
Self-promotion for independent publishing company offering 82 books across various topics. No technical content.
arXiv paper generalizing residual connections into multi-stream hyper-connections with spectral-sphere constraints to maintain identity mapping stability.
arXiv paper on natural gradient descent for online continual learning in image classification addressing catastrophic forgetting in non-i.i.d. data streams.
arXiv paper proposing Bayesian scattering as interpretable baseline for uncertainty quantification on image data using wavelet transforms and probabilistic modeling.
LLM-based approach for automated discovery of governing equations in dynamical systems, replacing genetic programming with language models for efficiency.
Interpretability method combining LIME with neural decision trees for more stable and faithful explanations of complex models on tabular data.
Clinical prediction framework using discriminative representation learning aligned to outcomes rather than reconstruction objectives.
Feature selection method using causal principles and diffusion models to improve stability under distribution shifts.
Contrastive learning approach for discovering functional gene associations from protein interaction data, testing PAM framework on molecular biology.
Investigation of how contextual recall emerges in transformers during pretraining vs. finetuning, examining in-context learning mechanisms for fact retrieval.