GitHub Trending surfaces the daily developer signal layer
Trending is noisy by default, but still useful as a discovery radar when filtered through Matthew's topics and source priorities.
One daily paper combining selected sources, structured judgment, and a calmer reading experience.
This issue is assembled from the markdown content layer, but now excludes pipeline placeholders and leans toward the highest-signal items first. Next improvement: stronger grouping and topic-level ranking.
Trending is noisy by default, but still useful as a discovery radar when filtered through Matthew's topics and source priorities.
A framework for efficient model inference with omni-modality models
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress
Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere.
Generate any location from the real world in Minecraft with a high level of detail.
PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
Juya remains a strong anchor source because it compresses the broad AI landscape into a readable daily brief instead of a noisy feed.
AI 早报 2026-03-21 视频版:哔哩哔哩 | YouTube 概览 要闻 Cursor 承认 Composer 2 基于 Kimi K2.5,月之暗面确认授权合作 #1 Claude Code 上线云端定时,桌面版支持直接选 DOM ↗ #2 智谱与小米均确认会继续开源模型 ↗ #3 模型发布 美团龙猫开源 LongCat-Flash-Prover ↗ #4 英伟达发布 30B MoE 模型,IMO 与 IOI 获金牌成绩 ↗ #5 开发生态 Windsurf 宣布向付费用户限免开放 Kimi K2.5 模型 ↗ #6 OpenAI 推出 Codex for Students 项目 ↗ #7 心流团队宣布 iFlow C…
AI 早报 2026-03-22 视频版:哔哩哔哩 | YouTube 概览 开发生态 OpenAI 发布 GPT-5.4 前端设计指南,推出配套 frontend-skill ↗ #1 OpenAI 发文详解 Responses API 的 agent 执行层构建路径 ↗ #2 Browser Use 发布 CLI 2.0,速度翻倍成本减半 ↗ #3 产品应用 WordPress.com 扩展 MCP 支持,AI Agent 获内容写入权限 ↗ #4 智谱推出 GLM-Claw,定位为成长型 AI 生命体 ↗ #5 技术与洞察 Anthropic 提出大模型时代产品管理四大核心原则 ↗ #6 行业动态 美国发布国家 AI 立法框…
Placeholder record created by run-all.ts before real source ingestion is implemented.
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Greg Isenberg is useful here not because every video is deeply technical, but because he surfaces product and market signal around AI tools in a builder-friendly format.