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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, 4:30 AM UTC |
| GitHub Releases | 7 | 4 | Nov 6, 2026, 4:30 AM UTC |
| GitHub | 7 | 4 | Nov 6, 2026, 2:30 PM UTC |
| GitHub Issues | 7 | 4 | Nov 6, 2026, 5:00 AM UTC |
| GitHub Releases | 7 | 4 | Nov 6, 2026, 4:30 AM 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 5, 2026, 4:15 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, 4:00 PM UTC |
| Hugging Face Models | 1 | 0 | Nov 6, 2026, 4:00 PM UTC |
| HF Daily Papers | 1 | 0 | Nov 6, 2026, 4:00 PM UTC |
| OpenRouter | 1 | 0 | Nov 6, 2026, 4:00 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.
hmjz100/LinkSwift
一个基于 JavaScript 的网盘文件下载地址获取工具。基于【网盘直链下载助手】修改 ，支持 百度网盘 / 阿里云盘 / 中国移动云盘 / 天翼云盘 / 迅雷云盘 / 夸克网盘 / UC网盘 / 123云盘 八大网盘
First observed Oct 28, 2026 · GitHub Trending
- 7d mentions
- 0 previous 0
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- 15 / 100
Hackerscad
First observed Oct 28, 2026 · Hacker News
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- 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
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- 14 / 100
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MAREval
arXiv:2610.36389v1 Announce Type: new Abstract: Evaluating natural language explanations in recommender systems is essential for fostering user trust, transparency, and engagement. However, existing evaluation approaches like human evaluations, while accurate, are resource-intensive and impractical at the scale required by modern recommendation platforms. Al
First observed Oct 28, 2026 · arXiv
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Babeltro
I was wondering how those classic demoscene effects come out in different languages. It’s interesting to see the required contortions for each language to get there. For example, SQLite has no float32, so it's emulated in SQL. Wasm has no sin(), so the hand-written port builds its own sine table, to name a few. It was built end-to-end by AI agents. Every por
First observed Oct 28, 2026 · Hacker News
- 7d mentions
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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
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- 14 / 100
Notra
Notra is a GEO tool that helps you rank in AI Search.
First observed Oct 27, 2026 · Product Hunt
- 7d mentions
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NuPlay
AI transformation, run on one self-improving platform
First observed Oct 27, 2026 · Product Hunt
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- 14 / 100
HKUDS/DeepTutor
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/ .
First observed Oct 27, 2026 · GitHub Trending
- 7d mentions
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- 14 / 100
deep-roiforce/Deal_rescue_Agent
First observed Oct 27, 2026 · Hacker News
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- 14 / 100
自己
主站目前有上千活跃用户 欢迎各位老板来发布自己的招聘需求 找工作的也可以关注，以后职位信息会越来越多 https://wodegongzi.com/jobs
First observed Oct 22, 2026 · V2EX
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WAKMan
arXiv:2610.36355v1 Announce Type: new Abstract: Prefix caching enables a Large Language Model (LLM) servers to reuse the Key-Value (KV) states and accelerate prefill computation stage for requests that share a prefix with earlier prompts, thus reducing latency and serving cost. With limited memory resource, the KV cache eviction policy becomes a decisive fac
First observed Oct 28, 2026 · arXiv
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桌面办公助手
先说结论：阿布是我一个人从需求、设计、开发、Agent 、测试发布、运维到社区都扛下来的开源桌面办公助手。 想做的不是又一个聊天框，而是真能在电脑上干活的东西——你一句话说完（比如把发票汇总成表、按纪要写周报），它自己拆步骤，在本机读写文件、调工具，最后给你可编辑的文件。模型可以接云端，也可以 Ollama 全本地。 因为只有我一个人，没人可交班，需求到运维只能自己串成一条环。7 天做出能用的初版，后面大概 6 个月主要在打磨多 Agent 、权限、测试复审这些「能长期养」的部分。期间累计砸了数万美元，平均每月大概消耗 300 亿 tokens——不是晒成绩，就是这行真实成本。 产品开源了，我这套用来一人扛产品的 Harness 也一并开源了（任务描述、多 Agent 、自动测试、独立复审、权限、项目记忆）。
First observed Oct 28, 2026 · V2EX
- 7d mentions
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- 14 / 100
erogol/kechup
First observed Oct 27, 2026 · Hacker News
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- 14 / 100
TheySaid 4.0
See how users will react, right where you build.
First observed Oct 27, 2026 · Product Hunt
- 7d mentions
- 0 previous 0
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- 14 / 100
BugTape
First observed Oct 28, 2026 · Hacker News
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- 14 / 100
kw-bench
arXiv:2610.36405v1 Announce Type: new Abstract: Each new generation of frontier model pushes the edge of what is possible. Inside a harness -- a loop, a shell, a filesystem, the ability to write and run its own code -- a model can take on increasingly difficult work. A growing body of work treats the coding-agent harness as infrastructure for knowledge work
First observed Oct 28, 2026 · arXiv
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MARQ
arXiv:2610.36234v1 Announce Type: new Abstract: Requirements engineering (RE) is foundational to systems engineering (SE), as requirement defects can propagate downstream and adversely affect development outcomes. Although large language models (LLMs) are promising for requirement quality assessment, prior work shows that off-the-shelf models miss a large sh
First observed Oct 28, 2026 · arXiv
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ArohaLabs/aroha-protocol
First observed Oct 27, 2026 · Hacker News
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- 14 / 100
CohortFlow
arXiv:2610.36100v1 Announce Type: new Abstract: Language model agents for clinical cohort curation should accommodate evolving eligibility criteria without repeatedly processing unchanged requirements. We introduce CohortFlow, a steerable agent that represents natural language corrections as localized updates to a structured cohort specification and reconcil
First observed Oct 28, 2026 · arXiv
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Skill Dreaming
arXiv:2610.36188v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly rely on reusable skills for complex software engineering tasks, making skill libraries essential for repository development and maintenance. However, repository-specific skills must evolve with changing code structures, implementation conventions, and maintenance r
First observed Oct 28, 2026 · arXiv
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sanmak/specops
First observed Oct 27, 2026 · Hacker News
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SDRT
arXiv:2610.36667v1 Announce Type: new Abstract: Discourse parsing based on Segmented Discourse Representation Theory (SDRT) is crucial for capturing the structural dynamics of dialogues. However, most prior research focuses on English, and its effectiveness for Japanese remains unclear owing to the lack of Japanese SDRT corpora. To address this issue, we con
First observed Oct 28, 2026 · arXiv
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Hardalion/agent-delegated-authority
First observed Oct 27, 2026 · Hacker News
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LM-DSB
arXiv:2610.36433v1 Announce Type: new Abstract: Construction safety management still struggles to produce daily safety bulletins (DSBs), structured daily communications that identify site-specific hazards, convey safety protocols, and set preventive measures for workers. Manual DSB creation takes 2-3 hours daily and yields inconsistent quality, with 25% of c
First observed Oct 28, 2026 · arXiv
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Dayjob
First observed Oct 28, 2026 · Hacker News
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- 14 / 100
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wrg32786/aigent-os
I run my business on four Claude Code agents: Titus, Pheme, Davinci and Metis. They write my newsletter, The AIgent (about 9k subscribers), every day through a drafting and proofreading engine that Pheme checks before scheduling. They also build AI courses, run a pipeline that turns the day's featured repo into a talking-head video of my avatar for Instagram
First observed Oct 27, 2026 · Hacker News
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