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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 6, 2026, 4:30 AM UTC |
| GitHub Releases | 7 | 4 | Nov 6, 2026, 4:30 AM 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 6, 2026, 4:30 AM 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, 4:39 AM UTC |
| Hugging Face Models | 1 | 0 | Nov 6, 2026, 4:39 AM UTC |
| HF Daily Papers | 1 | 0 | Nov 6, 2026, 4:39 AM UTC |
| OpenRouter | 1 | 0 | Nov 6, 2026, 4:39 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.
elayadesign/ai-design-skills
First observed Oct 28, 2026 · GitHub Trending
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
TTA
arXiv:2610.36183v1 Announce Type: new Abstract: We study time-to-arrival (TTA) in sports: the shortest plausible time a player needs to reach an arbitrary location on the pitch given their current kinematic state, estimated as the lower envelope of observed locomotion times. Rather than modeling space ownership through position density estimation or closed-f
First observed Oct 28, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
Pidgeon
First observed Oct 29, 2026 · Hacker News
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
ermoluk/mcp-warden
I got tired of pasting GitHub PATs, Stripe keys and DB passwords into Claude Code / Cursor MCP configs. One prompt injection or a leaked chat and they’re gone. So I built mcp-warden — a local-first credential broker for the Model Context Protocol. How it works: • You store the secret once in the OS keychain • You define scoped presets (e.g. github-read, stri
First observed Oct 27, 2026 · Hacker News
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
Trellis
More than a terminal: a native macOS workspace for devs
First observed Oct 28, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
RouteDRAG
arXiv:2610.36444v1 Announce Type: new Abstract: Web-based applications increasingly rely on understanding long multimodal documents, where answering questions often requires combining information across pages, tables, and figures. Agentic retrieval-augmented generation addresses these tasks through iterative retrieval and reasoning. However, Agentic executio
First observed Oct 28, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
Congress Trades
See how Congress members trade, and if copying them pays off
First observed Oct 28, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
WebAI by Opera
Let websites use AI running on your computer
First observed Oct 28, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
Mudroom
Run coding agents in a VM, review changes like a PR
First observed Oct 28, 2026 · Product Hunt
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
ContextGem 1.0
Decision models join LLMs to extract data from documents
First observed Oct 27, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
LFM3 by Liquid AI
Six 2B-class models for phones, laptops and robots
First observed Oct 28, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
OA-RAG
arXiv:2610.36335v1 Announce Type: new Abstract: Large language models (LLMs) perform well across many real-world tasks but remain prone to hallucination, limiting their reliability in domains such as biomedicine and healthcare, where answers must be grounded in established knowledge. Retrieval-augmented generation (RAG) mitigates this problem by incorporatin
First observed Oct 28, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
obra/superpowers
An agentic skills framework & software development methodology that works.
First observed Oct 27, 2026 · GitHub Trending
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
RefactorProof
arXiv:2610.36328v1 Announce Type: new Abstract: Benchmarks for verifiable code generation usually test a proof against one fixed implementation. We ask whether the same proof remains valid after a program refactoring that preserves behavior. We introduce RefactorProof, which derives 458 Lean-certified variants from the 185 VERINA tasks that compile in our pi
First observed Oct 28, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
licenseal
Catch incompatible dependency licenses before release
First observed Oct 28, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
IdoGol24/weir
Hi HN. Weir is for one problem: credentials crossing the boundaries of your AI agent. For agents you build, Weir plants fake credentials where real ones would live, runs the agent's normal flows, and checks what comes out: telemetry, logs, console output, model requests, and requests to other services. It looks for those exact values, including common encode
First observed Oct 27, 2026 · Hacker News
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
BehaveRec
arXiv:2610.36239v1 Announce Type: new Abstract: Sequential recommendation models typically predict a user's next action from recent session interactions, which limits personalization when short-term signals are weak or ambiguous. Rather than assuming that incorporating longer-term history and community signals is universally beneficial, we study when it actu
First observed Oct 28, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 15 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 14 / 100
Hackerscad
First observed Oct 28, 2026 · Hacker News
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 14 / 100
CAMR
arXiv:2610.36734v1 Announce Type: new Abstract: Continual learning requires large language models to acquire new knowledge and capabilities while retaining what they have learned. Fine-tuning and replay support acquisition and retention, but deciding whether incoming examples need supervision and which historical examples to revisit remains a challenge. We p
First observed Oct 28, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 14 / 100
界目前比较主流
目前感觉,应该是不需要一个专门的语音输入法,只需要一个快捷键能调起它,或者有其他方式能调起它就行了,对不对? 我搜了一下,发现开源界目前比较主流的就是千问的那种语音模型,对不对?那这样的一个语音模型在本地运行,外加 AI 润色,这样就成了,是不是?它的优点就是 ASR 的流式输出? Typeless 看起来很好,是收费的。我习惯于长按快捷键输出,它只有按一下快捷键进行转换的方式,也不太合适。 我搜了一下,有一个叫 FluidVoice 的,还有一个叫 Handy 的,好像都不错。FluidVoice 据说是针对性优化做得最好,咱也不懂。FluidVoice 不支持更多的中文模型,主要还是面向西方社区。Handy 据说是用 Rust 写的,但还有 WebView 套壳。好家伙,这一下子感觉 Rust 就白用了。
First observed Oct 28, 2026 · V2EX
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- Not comparable
- Priority
- 14 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
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- 14 / 100
multica-ai/andrej-karpathy-skills
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
First observed Oct 26, 2026 · GitHub Trending
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 14 / 100
搜索引擎
先简单介绍一下 XERJ:它是一个面向 AI 编程 Agent 的开源搜索引擎,其 Corpus Hub 收录代码和文档,帮助 Agent 检索具体实现作为参考。 最近收到 XERJ 创始人的邮件,他们选中了 我的项目 里“由独立 CLI Worker 驱动同一个持久化任务”的实现,并收录到了 XERJ Corpus Hub 。借这个机会,也想聊聊为什么做这个项目。 我在开发一个基金研究 Agent ,过程中积累了一些实践,写了踩坑和思考的 文章 ,有六十多篇,希望可以帮到有需要的人。后来觉得,光看有文字,参考意义还是有限,于是做了这个独立的公开实现: 读一篇文章,找到对应代码,跑出结果,再回头理解为什么这样设计。 👉 项目中文介绍与快速开始 项目用 JavaScript 原生 ESM 编写,CLI 优先,按
First observed Oct 29, 2026 · V2EX
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 14 / 100
Notra
Notra is a GEO tool that helps you rank in AI Search.
First observed Oct 27, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- Not comparable
- Priority
- 14 / 100
Personality Latents
arXiv:2610.36805v1 Announce Type: new Abstract: Controlling the personality of a language model usually relies on written profiles or named trait categories, so it can only express what an author writes down or what a taxonomy names. We instead propose Personality Latents (PL), which learn a latent for each person from their own writing, with no personality
First observed Oct 28, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- 14 / 100
NuPlay
AI transformation, run on one self-improving platform
First observed Oct 27, 2026 · Product Hunt
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 14 / 100
affaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
First observed Oct 26, 2026 · GitHub Trending
- 7d mentions
- 0 previous 0
- 7d sources
- 0
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- Priority
- 14 / 100