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New Term Radar
Discover names and concepts appearing in public sources, with dated evidence, source coverage and comparable growth.
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Collection coverage · Limited historyCurrent / previous observed days 7 / 4
Counts use complete UTC days. First observed means first seen by this collection, not when a term was coined.
Current window：2026-10-30 → 2026-11-06 (end excluded) · History 12 days
| Source | Current days | Previous days | Last success |
|---|---|---|---|
| arXiv | 6 | 4 | Nov 6, 2026, 12:30 AM UTC |
| arXiv | 7 | 3 | Nov 5, 2026, 10:01 AM UTC |
| Ask HN | 7 | 4 | Nov 6, 2026, 3:30 AM UTC |
| Ask HN | 7 | 4 | Nov 6, 2026, 2:45 AM UTC |
| Ask HN | 7 | 4 | Nov 6, 2026, 3:30 AM UTC |
| Ask HN | 7 | 4 | Nov 6, 2026, 3:30 AM UTC |
| GitHub | 7 | 4 | Nov 6, 2026, 12:30 AM UTC |
| GitHub Issues | 7 | 4 | Nov 6, 2026, 4:00 AM UTC |
| GitHub Releases | 7 | 2 | Nov 6, 2026, 12:15 AM UTC |
| GitHub | 7 | 4 | Nov 6, 2026, 2:30 AM UTC |
| GitHub Issues | 7 | 4 | Nov 5, 2026, 4:15 PM UTC |
| GitHub Releases | 7 | 4 | Nov 5, 2026, 4:15 PM UTC |
| GitHub | 7 | 4 | Nov 6, 2026, 2:30 AM UTC |
| GitHub Issues | 7 | 4 | Nov 5, 2026, 4:45 PM UTC |
| GitHub Releases | 7 | 4 | Nov 5, 2026, 4:15 PM UTC |
| GitHub Discovery | 1 | 0 | Nov 6, 2026, 3:30 AM UTC |
| GitHub Trending | 7 | 4 | Nov 6, 2026, 1:00 AM UTC |
| 7 | 3 | Nov 5, 2026, 10:00 AM UTC | |
| Hugging Face | 7 | 3 | Nov 5, 2026, 8:15 AM UTC |
| Hugging Face Spaces | 1 | 0 | Nov 6, 2026, 3:30 AM UTC |
| Hacker News | 7 | 4 | Nov 6, 2026, 1:00 AM UTC |
| Hacker News | 7 | 4 | Nov 6, 2026, 3:45 AM UTC |
| Hacker News | 7 | 4 | Nov 6, 2026, 3:45 AM UTC |
| Hacker News | 1 | 0 | Nov 6, 2026, 3:30 AM UTC |
| Show HN | 1 | 0 | Nov 6, 2026, 3:30 AM UTC |
| MIT News | 7 | 3 | Nov 5, 2026, 4:15 PM UTC |
| OpenAI | 7 | 4 | Nov 5, 2026, 11:30 AM UTC |
| Product Hunt | 7 | 4 | Nov 6, 2026, 1:00 AM UTC |
| 量子位 | 6 | 4 | Nov 4, 2026, 10:15 AM UTC |
| OpenRouter | 1 | 0 | Nov 6, 2026, 3:36 AM UTC |
| Hugging Face Models | 1 | 0 | Nov 6, 2026, 3:36 AM UTC |
| HF Daily Papers | 1 | 0 | Nov 6, 2026, 3:36 AM UTC |
| OpenRouter | 1 | 0 | Nov 6, 2026, 3:36 AM UTC |
| SEC EDGAR | 7 | 4 | Nov 5, 2026, 10:30 PM UTC |
| Sequoia Capital | 7 | 3 | Nov 5, 2026, 10:00 AM UTC |
| Simon Willison | 1 | 0 | Nov 5, 2026, 3:13 PM UTC |
| TechCrunch | 7 | 4 | Nov 6, 2026, 2:45 AM UTC |
| Contracts Finder | 7 | 4 | Nov 5, 2026, 7:45 PM UTC |
| V2EX | 7 | 4 | Nov 6, 2026, 2:45 AM UTC |
- Counts describe monitored public sources, not the whole web or search demand.
- Both weeks need adequate, comparable collection coverage.
Seven-day figures use the complete UTC window above. Priority is a research triage score, not search volume, market size or a probability of success.
项目雷达
之前做了 AI 开源项目雷达，这次把研究与选型流程适配成 WorkBuddy 技能「开源 AI 项目研究与选型」，已审核上架。 主要解决一个小问题：问 AI“帮我选个知识库”时，容易得到几个名字，但硬条件、偏好和证据缺口常混在一起。 可以直接这样问： “帮我选自托管中文知识库，Docker 和 Web 界面必须具备，低代码只是偏好。关键能力给来源和数据时点；找不到匹配就说明，不要偷偷放宽要求。” 也可以比较指定候选、核对许可证据、找替代方案，或整理待验证的候选技术栈。输出区分事实、建议、未知项与风险，不把 Star 当适用性，不替你安装或执行仓库。 我是开发者，使用的是公开数据，原有实现公开可获得； WorkBuddy 版提供平台内适配。购买不含 WorkBuddy 积分或网站会员，费用和条件看当前平台页面。以
First observed Nov 1, 2026 · V2EX
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
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- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
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- 34 / 100
-
- 7d mentions
- 1 previous 0
- 7d sources
- 1
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- 34 / 100
wojtas99/EasyRE-Agent
First observed Oct 30, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
前可查看真实渲染效果
VVAE 是 V2EX 原生客户端，最近更新了两个功能，并支持 7 天免费试用。 1. 发帖预览 发布前可查看真实渲染效果，减少发帖后再修改的铜币消耗 2. AI 排版优化 一键规范基础排版，修改前后实时展示 Diff 变更。 试用与下载 支持 7 天免费试用： App Store ： https://apps.apple.com/us/app/id6812334052 官网 ： https://vvae.app 欢迎体验与反馈。
First observed Nov 1, 2026 · V2EX
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
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- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- Not comparable
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- 34 / 100
Navitallabs/navital-gym
First observed Oct 30, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 34 / 100
Teable Mobile
Build the systems your team runs on, now from your phone
First observed Oct 30, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 34 / 100
Dodaios/Dodaios
First observed Oct 30, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
Cluinn
Answers your questions during the call, not after. For Mac.
First observed Oct 30, 2026 · Product Hunt
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 34 / 100
桌面助手
DeepSeek 前阵子开源了 dsh-superagent 原型 ，核心原则就一句： 占用尽量少的注意力，带来尽量多的价值。 不过它是面向团队、盯着 GitHub 仓库的研究原型，个人没法直接用。 我们把这套思路做进了开源桌面助手 AnyModelBot ，装好就是开箱即用的 DeepSeek Super Agent ，这是它的首个实现，不需要任何配置。 Super Agent 三件套 后台任务 ：调研、做报告这类要跑一阵子的事，交代一句就在后台做，聊天照常，不用排队等。 定时规则 ：一句话写下长期吩咐，比如「每天早上 8 点看看 X 的价格，低于 200 告诉我」，按时自动执行。新规则可以先用「观察」模式试跑，只读、不打扰你。 「需要你」 ：所有等你回答、批准的事集中在一处，没事时不占地方。 不打扰是硬规矩
First observed Nov 1, 2026 · V2EX
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
ZKStamp/AgentWallet
First observed Oct 30, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
项目提
大家好,我做了一个开源小工具 AgentSafe ,用来在分享截图和调试日志前,检查可能顺带公开的敏感内容。 比如给开源项目提 issue 、展示功能,或者分享 AI 编程助手生成的截图时,画面里可能带上内部项目名、邮箱或内部域名。调试日志里也可能包含认证字段和 Cookie 。 AgentSafe 用来在分享前把这一步检查做掉,图片还能手动遮盖后另存副本。 使用方式 程序运行在自己的电脑上,安装和启动需要终端,之后主要通过本地浏览器界面操作: 选择 PNG/JPEG 截图或 UTF-8 .log / .txt 文件。 填写希望查找的敏感名称、词语或域名，开始检查。留空也会按内置规则检查邮箱、部分认证字段和 Cookie 。 查看检测到的图片位置或日志行。 对图片手动选择区域、画框遮盖,生成并重新检查新的 PN
First observed Nov 1, 2026 · V2EX
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
Chopstick
Mac activity and action widgets that write themselves
First observed Oct 30, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 34 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
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- 34 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
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- 34 / 100
orime-org/breatic
First observed Oct 30, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
pingdotgg/t3code
First observed Oct 30, 2026 · GitHub Trending
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 34 / 100
cole-h06/omneum
First observed Oct 30, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
Kestrix
Repo-agnostic CI control plane with DAG-based triggers.
First observed Oct 30, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 34 / 100
SpeakON Agent
Turn natural speech into real work for an agent to complete
First observed Oct 30, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 34 / 100
mandarvshinde/ai-bill-to-focus
I needed to put our Anthropic and OpenAI spend next to our cloud bills, and found that the exports don't fit together. The Claude Console gives you two CSVs. The Cost export has dollars rounded to the cent, so a day of cache reads shows $0.00. The Usage export has token counts and no dollars. Anthropic also counts input in four parts that don't overlap: unca
First observed Oct 30, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
Meridian
First observed Nov 1, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 34 / 100
SciGame
arXiv:2610.37919v1 Announce Type: new Abstract: Large language model agents are increasingly used for scientific discovery. However, existing benchmarks mix law inference with programming, score data fitting instead of prediction on unseen inputs, and do not separate empirical evidence from pretrained priors. We introduce SciGame, a controlled benchmark that
First observed Oct 30, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 33 / 100
Beolis
Hey HN, I'm Fabio, the creator of Beolis. I've built Beolis ( https://beolis.com ) to better handle coding on agentic scenarios. It can be used to manage coding with agents in parallel / in the background either in your local machine (using your current repository or git worktrees) or remotely (where it creates a git worktree remotely and works with the agen
First observed Oct 30, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 33 / 100
FilingLoop
arXiv:2610.37905v1 Announce Type: new Abstract: Public disclosure repositories such as SEC EDGAR support informed investment through web access to corporate filings. Supporting their review with language model agents requires discovering unstated deficiencies across related documents, acquiring missing company facts, and verifying that requested revisions sa
First observed Oct 30, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
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- 33 / 100
GAUSS
arXiv:2610.37989v1 Announce Type: new Abstract: Large language model (LLM) inference has become an operational workload that fleets must provision, monitor, and bill against latency service-level objectives (SLOs). A single throughput number cannot answer the questions operators actually face, because generative serving couples two phases with very different
First observed Oct 30, 2026 · arXiv
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
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- 33 / 100
Sketch Stadium
tl;dr: Agents can play Pictionary. You can connect your own agent, or just watch a game in progress here: https://sketch.wakeshift.ai/games/q5ucru Hi folks! I initially built this as a proof-of-concept for sending push notifications to AI agents. Watching the agents play Pictionary together has been compelling, so I thought I'd ship it as a standalone demons
First observed Oct 30, 2026 · Hacker News
- 7d mentions
- 1 previous 0
- 7d sources
- 1
- 7d growth
- Not comparable
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- 33 / 100
时间
之前写过一个大厂岗位监测工具，因为前端岗位锐减，导致项目没有继续更新。 但是本质上就是确保官网岗位的时效性，做了一个官网显示时效性的小插件。 效果： 地址： https://chromewebstore.google.com/detail/justjob/egeplmeababanmilhfhlfljjjklfchan
First observed Oct 24, 2026 · V2EX
- 7d mentions
- 1 previous 1
- 7d sources
- 1
- 7d growth
- Not comparable
- Priority
- 33 / 100