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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 6, 2026, 5:15 AM UTC |
| Ask HN | 7 | 4 | Nov 6, 2026, 3:45 PM UTC |
| Ask HN | 7 | 4 | Nov 6, 2026, 3:30 PM UTC |
| Ask HN | 7 | 4 | Nov 6, 2026, 4:00 PM UTC |
| Ask HN | 7 | 4 | Nov 6, 2026, 4:00 PM UTC |
| GitHub | 7 | 4 | Nov 6, 2026, 12:45 PM UTC |
| GitHub Issues | 7 | 4 | Nov 6, 2026, 4:00 PM UTC |
| GitHub Releases | 7 | 2 | Nov 6, 2026, 12:15 PM UTC |
| GitHub | 7 | 4 | Nov 6, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 4 | Nov 6, 2026, 4:45 PM UTC |
| GitHub Releases | 7 | 4 | Nov 6, 2026, 4:45 PM UTC |
| GitHub | 7 | 4 | Nov 6, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 4 | Nov 6, 2026, 5:00 PM UTC |
| GitHub Releases | 7 | 4 | Nov 6, 2026, 4:45 PM UTC |
| GitHub Discovery | 1 | 0 | Nov 6, 2026, 4:00 PM UTC |
| GitHub Trending | 7 | 4 | Nov 6, 2026, 1:15 PM UTC |
| 7 | 3 | Nov 6, 2026, 8:30 AM UTC | |
| Hugging Face | 7 | 3 | Nov 6, 2026, 8:30 AM UTC |
| Hugging Face Spaces | 1 | 0 | Nov 6, 2026, 3:30 PM UTC |
| Hacker News | 7 | 4 | Nov 6, 2026, 1:15 PM UTC |
| Hacker News | 7 | 4 | Nov 6, 2026, 4:15 PM UTC |
| Hacker News | 7 | 4 | Nov 6, 2026, 4:15 PM UTC |
| Hacker News | 1 | 0 | Nov 6, 2026, 4:00 PM UTC |
| Show HN | 1 | 0 | Nov 6, 2026, 3:45 PM UTC |
| MIT News | 7 | 3 | Nov 6, 2026, 5:45 PM UTC |
| OpenAI | 7 | 4 | Nov 6, 2026, 11:45 AM UTC |
| Product Hunt | 7 | 4 | Nov 6, 2026, 1:15 PM UTC |
| 量子位 | 6 | 4 | Nov 4, 2026, 10:15 AM UTC |
| OpenRouter | 1 | 0 | Nov 6, 2026, 5:34 PM UTC |
| Hugging Face Models | 1 | 0 | Nov 6, 2026, 5:34 PM UTC |
| HF Daily Papers | 1 | 0 | Nov 6, 2026, 5:34 PM UTC |
| OpenRouter | 1 | 0 | Nov 6, 2026, 5:34 PM UTC |
| SEC EDGAR | 7 | 4 | Nov 6, 2026, 10:45 AM UTC |
| Sequoia Capital | 7 | 3 | Nov 6, 2026, 6:45 AM UTC |
| Simon Willison | 1 | 0 | Nov 6, 2026, 3:15 PM UTC |
| TechCrunch | 7 | 4 | Nov 6, 2026, 3:00 PM UTC |
| Contracts Finder | 7 | 4 | Nov 6, 2026, 8:00 AM UTC |
| V2EX | 7 | 4 | Nov 6, 2026, 3:00 PM 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.
mrpkk/soma-protocol
First observed Oct 24, 2026 · Hacker News
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100
River Writer
A quiet Mac app for screenplays, stage plays and novels
First observed Oct 24, 2026 · Product Hunt
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100
sevenboxlabs/sevenbox
First observed Oct 24, 2026 · Hacker News
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100
Rethinking Structured Generation
arXiv:2610.31681v1 Announce Type: new Abstract: Structured generation is typically formulated as a deterministic mapping from input to a single structured output. This assumption is fundamentally misaligned with natural language, which often admits multiple structurally distinct yet semantically valid interpretations. As a result, existing methods rely on si
First observed Oct 26, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- 11 / 100
DraMaze
arXiv:2610.32002v1 Announce Type: new Abstract: The rapid growth of microdramas has increased demand for high-quality script production. Long-form microdrama script generation with LLMs requires both diverse plot progression and long-range narrative coherence. Our observations reveal that candidate continuations increasingly concentrate on fewer narrative me
First observed Oct 26, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- 11 / 100
输入法小狼毫二开了
以前习惯 QQ 五笔，但这个已经几年没更新了，在 win10 和 win11 下面还有兼容性问题。同样是 86 码表，搜狗五笔和 QQ 五笔的不一样，导致我很不适应。基于开源输入法小狼毫二开了一个 QQ 版（也就是极点版） 86 码表的输入法。同时兼容 98 和新世纪码表。 项目地址： https://github.com/Vincentkeio/qingshi-wubi 提供 windows 可执行文件安装包。 基本设置是根据我的习惯设置的。只配备了必要功能，没有太多花里胡哨的东西。（搜狗五笔最搞笑的功能是按词频调整词序，还有什么热门短语，五笔的盲打就是基于固定词序的。）
First observed Oct 26, 2026 · V2EX
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- Not comparable
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- 11 / 100
1Password for Agents
Let AI agents sign in for you without seeing your passwords
First observed Oct 24, 2026 · Product Hunt
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100
-
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- 11 / 100
Mining Frames
arXiv:2610.31874v1 Announce Type: new Abstract: Computational framing analysis is dominated by supervised classifiers that require large annotated corpora and predefined frame taxonomies, limiting their use for non-English languages, novel events, and low-resource settings. This paper presents Association Rule Mining (ARM) as an unsupervised, annotation-free
First observed Oct 26, 2026 · arXiv
- 7d mentions
- 0 previous 1
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- 11 / 100
TaxoSAE
arXiv:2610.31894v1 Announce Type: new Abstract: Recent Sparse Autoencoders (SAEs) decompose the representations of large language models (LLMs) into interpretable features, enabling precise readout and control of encoded knowledge. However, existing SAEs treat each feature as a standalone unit, whereas real-world knowledge is often taxonomically organized. A
First observed Oct 26, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- 11 / 100
eliasaronson/lobole
I could never get used to FreeCAD, so I built my own. It turns out Claude is really good at using it. Loböle is a parametric B-Rep CAD built on OpenCASCADE and Vulkan, with sketches, assemblies, drawings, FEM and CAM. The GUI, Python scripts and AI agents all go through the same commands, so an agent can do anything you can in the GUI. The engine, watch and
First observed Oct 24, 2026 · Hacker News
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
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- 11 / 100
流程
最近网站出海比较火，加上 AI 编程的加持，让更多人的可以参与到这个程序员大军中，只要有产品思维，懂得提需求，就可以开发软件。 我也尝试 AI 编程跑通了整个网站开发部署上线流程，也体会到了 AI+Web 其实是 AI x Web，AI 是当之无愧的个人能力放大器，总结下利用 AI 开发 web 站点的推荐 SOP 流程。 1.阶段 1 - 项目调研 利用 similarweb,semrush,Google Trends 挖掘用户需求和产品关键词，查询可注册域名，确定产品关键词并注册域名 2.阶段 2 - 需求文档 ①把产品关键词提交给 AI，设计有利于产品 SEO&GEO 要求的 slogan，title，description,keyword ②让 AI 输出需求文档，用于提交给 code agen
First observed Oct 26, 2026 · V2EX
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- 11 / 100
时候都
之前用豆包或者千问 后面用 workbuddy ，文案的脚本台词转场都是按照热点文案的 skill 在生成的 连发布时候都是按照 ai 给的时间段发布的，播放量寥寥无几，这是什么原因啊，有没有大神知道这到底为啥
First observed Oct 26, 2026 · V2EX
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100
MisconceptDialogue
arXiv:2610.31679v1 Announce Type: new Abstract: Large language models are increasingly used as math tutors, raising two questions: can a single LLM detect a student's error, diagnose the underlying misconception, and remediate it through multi-turn dialogue - and can we trust the numbers that report how well it does? We address both with MISCONCEPTDIALOGUE,
First observed Oct 26, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
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- 11 / 100
SPECMEM
arXiv:2610.31840v1 Announce Type: new Abstract: Tool-calling agents are mostly optimized for accuracy; in deployment, however, their growing cost is latency: every tool call is decoded autoregressively. Speculative decoding accelerates this without changing the output, and retrieved past calls make strong drafts under real use, where each user's behavior ten
First observed Oct 26, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- 11 / 100
gtanczyk/genaicode
I started this project in 2024 when I got fascinated with LLMs, and what I did was a coding agent (CLI -> interactive -> GUI). I also added an integration with Vite for having it embedded inside my apps(mostly games). Few months ago I pivoted it to become a low profile AI provider wrapper library (think jQuery for LLM usage), because I realized there i
First observed Oct 24, 2026 · Hacker News
- 7d mentions
- 0 previous 1
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- 0
- 7d growth
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- 11 / 100
sideOS.ai
Local AI for dictation, meetings, background tasks and more
First observed Oct 24, 2026 · Product Hunt
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100
LAMB
arXiv:2610.31723v1 Announce Type: new Abstract: This article introduces Latin Modern BERT (LAMB), an encoder for the Latin language based on the ModernBERT architecture, pretrained in two phases on more than 74B Latin tokens using a novel morphologically informed masking regimen. We also present two corpora for the Latin language. Acervus contains 24B BERT W
First observed Oct 26, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- 11 / 100
NMT
arXiv:2610.32115v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) is a powerful paradigm for scaling Neural Machine Translation (NMT) and managing language heterogeneity. However, practical limitations hinder its deployment on resource-constrained devices: the entire expert pool must remain in memory, and the per-token compute budget is statica
First observed Oct 26, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
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- 11 / 100
-
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100
Latin Modern BERT
arXiv:2610.31723v1 Announce Type: new Abstract: This article introduces Latin Modern BERT (LAMB), an encoder for the Latin language based on the ModernBERT architecture, pretrained in two phases on more than 74B Latin tokens using a novel morphologically informed masking regimen. We also present two corpora for the Latin language. Acervus contains 24B BERT W
First observed Oct 26, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100
-
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
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- 11 / 100
tobiaslofton/algernon-x402-oracle
First observed Oct 24, 2026 · Hacker News
- 7d mentions
- 0 previous 1
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100
-
- 7d mentions
- 0 previous 0
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- 0
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- 11 / 100
EDWARD-NMT
arXiv:2610.32115v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) is a powerful paradigm for scaling Neural Machine Translation (NMT) and managing language heterogeneity. However, practical limitations hinder its deployment on resource-constrained devices: the entire expert pool must remain in memory, and the per-token compute budget is statica
First observed Oct 26, 2026 · arXiv
- 7d mentions
- 0 previous 1
- 7d sources
- 0
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- Not comparable
- Priority
- 11 / 100
-
- 7d mentions
- 0 previous 0
- 7d sources
- 0
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- 11 / 100
TechCrunch Mobility
Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, the role AI is playing in it.
First observed Oct 11, 2026 · TechCrunch
- 7d mentions
- 0 previous 1
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- 0
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- 11 / 100
-
- 7d mentions
- 0 previous 0
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- 11 / 100
AgentValley
Every Claude Code agent, at a glance, in your Mac's notch
First observed Oct 24, 2026 · Product Hunt
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100
google-gemini/gemini-cli
An open-source AI agent that brings the power of Gemini directly into your terminal.
First observed Oct 24, 2026 · GitHub Trending
- 7d mentions
- 0 previous 0
- 7d sources
- 0
- 7d growth
- Not comparable
- Priority
- 11 / 100