nifengfei

🚀 Tech Software Algorithm/Product Professional

[nifengfei @nifengxiaofei]

@wenyanhh @frevana_ai Congratulations! Seems have some collaborations ~~

[nifengfei @nifengxiaofei]

Added a "Find Reddit Communities Based on Needs" feature to Karmit (https://t.co/MPhNzSrpFb): 115,000 subreddits loaded into a vector database, then re-ranked by Jev.

Here are the statistics after the data enrichment; I find these numbers quite interesting:

With public descriptions：107,332 (92.7%)
Median description length：115 characters
Median subscriber count：3,844
Communities with >10k subscribers：43,105
Largest community：67.59 million subscribers

[nifengfei @nifengxiaofei]

### 2. Subreddit Analysis (Free, no login required)
https://t.co/qiYEmC4rVb

- Search and view any public subreddit: description, member count, active users, allowed post types, and full rules (with post and comment rules listed separately). No login is required for this part.
- Log in to chat with an AI about the subreddit. You can simply ask the AI ​​directly—for example:
- "Explain the rules of this community."
- "I'm working on xxx; how should I post about it here?"
- Conversations are saved, so you can review them in your history.

The AI ​​uses **your own API key**: it supports models compatible with the Anthropic API. DeepSeek is pre-configured, but you can switch to other providers by simply changing the Base URL.

[nifengfei @nifengxiaofei]

【Free】Tired of your product posts getting deleted on Reddit? I built a free tool to help you find subreddits and read their rules.

Hi everyone! I’d like to share a small website I recently built: **Karmit** (https://t.co/MPhNzSrpFb).

## Why I built it

If you’re building indie products or targeting overseas markets, you’ve probably felt this way: Reddit is great for a "cold start," but the barrier to entry is high.

- **You don't know where your users hang out.** Searching for keywords usually only turns up a few massive subreddits; finding the smaller, highly targeted ones is difficult.
- **Every subreddit has different rules.** Some ban self-promotion, some only allow text posts, and others require specific flair. If a new account posts without checking, it’s common to get the post deleted or the account banned.

I ran into these issues myself, so I created this tool.

## Free
Completely free—no paid version and no need to link a credit card. Supports sign-up via email or Google login.

[nifengfei @nifengxiaofei]

## Current Features

### 1. Reddit Community Map (Free, no login required)
https://t.co/j4xsW7d8Rr

It visualizes Reddit as a map where each dot represents a subreddit. Subreddits that share a large number of commenters appear closer together on the map.

Search for a subreddit you know well—like r/SaaS—and see what’s nearby. You can often discover niche communities with high user overlap that you’ve never heard of; these places are often better for posting than the massive subreddits.

The map itself is open-source (MIT License); I’ve embedded it here.

[nifengfei @nifengxiaofei]

@rankmathseo Biggest challenge is spotting real buying-intent threads early without camping 50 subreddits. We’ve been using https://t.co/5jCLi4zQe4 to surface those opportunities, then jump in with helpful answers instead of link dumps.

[nifengfei @nifengxiaofei]

Although Gemini appears to offer a more convenient way to remove objects, it comes at the cost of precision; therefore, the Tracking-Removing-Inpainting approach in https://t.co/W90NLzBTPS is still recommended.

[nifengfei @nifengxiaofei]

@PedroGuiti @hello_code_ The first step in Reddit marketing is finding the right subreddit; hopefully this helps you https://t.co/AfPqFVz6Zh.

[nifengfei @nifengxiaofei]

8.13 Since the launch of DeepSeek Harness (DSH), the community has developed "DSH Plugins" at an astonishing pace.

That is why I created https://t.co/nbASeEbBEH

1. It provides an at-a-glance view of the total number of plugins to date and a growth trend chart.
2. It filters out projects that merely used the `dsh-plugin` tag but are not genuine DSH plugins.
3. The remaining plugins have been carefully curated and organized into nine major categories.
4. It enables quick discovery of specific plugins via keyword search.

[nifengfei @nifengxiaofei]

@Kling_ai 跑步的节奏很统一

[nifengfei @nifengxiaofei]

看完了 Sundar 在 I/O 2026 的开场演讲，做了个总结：

1、开场 Google I/O 2026 主旨演讲，一句话总结：「Agentic Gemini 时代」正式开场。

2、规模 跨产品月处理 token 一年涨 7×：从 480T 跳到 3.2 Quadrillion+。 13 款十亿用户产品里，5 款破 30 亿。AI Overviews 25 亿 MAU，Gemini App 一年翻倍到 9 亿。

3、基础设施 2022 → 2026，Capex 从 $31B 涨到 $180-190B（约 6×）。 第八代 TPU 首次双芯片：TPU 8t 训练 · TPU 8i 推理，每瓦性能翻倍。

4、模型 Gemini Omni：从「预测文本」走向「模拟现实」。 Gemini 3.5 Flash：智能 × 速度独立一档，价格不到同级前沿模型一半——内部团队估，仅切 80% 工作负载即可省 $1B/年。

5、智能体 Gemini Spark = 你的 24/7 个人智能体，跑在 GCP 专用 VM 上、无需开机。 Search 也进入代理时代：信息代理 + 生成式 UI + 持久迷你应用，为每个问题现场搭一个界面。

[nifengfei @nifengxiaofei]

@GoogleAI This feels like another definitive break from traditional search. Moving from an 'answer box' to an active, agentic workspace completely rewrites how we interact with information.

[nifengfei @nifengxiaofei]

@MaxForAI 法拉利老了还是法拉利

[nifengfei @nifengxiaofei]

https://t.co/yHkM89ePtK

[nifengfei @nifengxiaofei]

@KevinNaughtonJr 感谢先生大意

[nifengfei @nifengxiaofei]

看到这篇文章思考很多

之前给企业做RAG的时候，是要将企业/行业的文档做成知识库，外挂给大模型形成行业专家。但是一直有一个疑问，很多经验和知识是存在专家身上，这些东西需要持续和他们互动，而且效率很低。不明白这些东西如何才能落地。A社在这方面还是很超前的，通过3个层级：

第1层级：如何落地垂直行业大模型？
没有想着这么把这些专家经验装进知识库，也不是微调进模型中。想想专家的经验和知识是通过什么传达的，是通过语言，言传身教而来，这个就是 skill.md 中的说明，需要的资料和工具。行业专家写 skills，说给大模型听。

第2层级：用技术解决技术问题，也用技术解决与人的协作问题
mcp统一了工具调用的接口，但是安装和设置都需要很强的技术能力，同时上下文需要常驻内存，造成浪费。
为了让行业专家能参与进来，agent框架集成了Sandbox，它其实就是一个安全的程序运行时，python运行时，node运行时。大模型可以写代码调用，同样也可以运行预置的脚本/代码。为skills的运行创造了空间，而解决了运行时的安装和部署。
渐进式披露解决model context的问题，也是人在解决问题时探索的路径。
有没有发现，到这里行业专家只需要通过语言/文字就可以落地一个个专业的技能。

第3层级：skills解决一切
skill-creator的更新进一步解决了专家和Agent的磨合，功能型skill何时已经不需要了？偏好型skill是否严格遵循了工作流？这是一个测试专业skill的融合。

所以往后想想，往前看看，mcp好像越来越鸡肋，skills才是未来，而且越来越强，接近终极形态。

[nifengfei @nifengxiaofei]

今天Anthropic对skill-creator()进行的了更新，代表了他们对最近agent skills的观察和未来演进的方向。

1、将Skills分为两类，代表了它们各自的测试重点

能力提升型 (Capability uplift)： 赋予 Claude 原生模型不具备或不稳定的能力（如复杂的文档创建）。测试重点在于观察原生模型进步后，该技能是否仍有必要。

偏好编码型 (Encoded preference)： 将特定团队的工作流（如 NDA 审核）标准化。测试重点在于验证其是否严格遵循了既定流程。

2、Skill-creator主要更新
2.1. 引入Evals（评估测试）： ��者可以定义测试提示词和预期结果，检查技能在模型更迭后是否出现“质量退化”（Regression）。
2.2. 基准测试模式 (Benchmark mode)： 自动运行标准化评估，追踪通过率、耗时和 Token 消耗。

3、未来展望
随着模型能力的提升，未来的skills可能只需一段自然语言描述“做什么”，而无需详细说明“怎么做”。这里的意思是模型能力的提高，它知道“某个技能”是什么

https://t.co/ywdRFvUAQs
https://t.co/bQjNnzMkjV

[nifengfei @nifengxiaofei]

今天Anthropic对skill-creator()进行的了更新，代表了他们对最近agent skills的观察和未来演进的方向。

1、将Skills分为两类，代表了它们各自的���试重点

能力提升型 (Capability uplift)： 赋予 Claude 原生模型不具备或不稳定的能力（如复杂的文档创建）。测试重点在于观察原生模型进步后，该技能是否仍有必要。

偏好编码型 (Encoded preference)： 将特定团队的工作流（如 NDA 审核）标准化。测试重点在于验证其是否严格遵循了既定流程。

2、Skill-creator主要更新
2.1. 引入Evals（评估测试）： 作者可以定义测试提示词和预期结果，检查技能在模型更迭后是否出现“质量退化”（Regression）。
2.2. 基准测试模式 (Benchmark mode)： 自动运行标准化评估，追踪通过率、耗时和 Token 消耗。

3、未来展望
随着模型能力的提升，未来的skills可能只需一段自然语言描述“做什么”，而无需详细说明“怎么做”。这里的意思是模型能力的提高，它知道“某个技能”是什么

https://t.co/ywdRFvUAQs
https://t.co/bQjNnzMkjV

[nifengfei @nifengxiaofei]

将mdx项目编译到CF workers过程中就会报错，第一反应肯定是让AI来解决，在cursor里试了一圈大模型，改了N次都没办法解决。

最后自己研究后的解决方案是，把 MDX 的解���和编译提前到构建阶段，而不是在每次请求时再做。

下面是完整的NextJS配置：

1、next.config.mjs
import { createMDX } from 'fumadocs-mdx/next';
const withMDX = createMDX();
export default withMDX(nextConfig);

// createMDX() 是 fumadocs-mdx 提供的 Next.js 配置包装器。它返回一个高阶函数 withMDX，用来修改 Next.js 的构建配置，使项目支持 fumadocs-mdx 的内容流程。
// 模块加载（next.config.mjs 被 Node 读取）
// ↓
//const withMDX = createMDX(); // 调用一次，得到包装函数
// ↓
//export default withMDX(nextConfig); // 每次 Next 启动时执行

2、source.config.ts
export const posts = defineDocs({
dir: 'content/posts',
});

//内容源配置

3、package.json
"scripts": {
...
"postinstall": "fumadocs-mdx",
...
}

//pnpm install 或 npm install 后会执行 fumadocs-mdx，根据 source.config.ts 扫描 content/posts 并生成 .source 目录。

4、source.ts
import { docs, logs, pages, posts } from '@/.source';

// Posts source
export const postsSource = loader({
baseUrl: '/blog',
source: posts.toFumadocsSource(),
i18n,
icon: iconHelper,
});

//创建 postsSource
//baseUrl: '/blog'：博客基础路径
//posts 来自 source.config.ts 的 defineDocs

5、代码使用
const mdxPost = await postsSource.getPage(slug);

[nifengfei @nifengxiaofei]

MDX格式的文件和轻松部署在NextJS项目中，但是在Cloudflare中就不行。因为NextJS支持完成NodeJS的API，包括文件系统fs的读写，而CF不支持。

因为最近需要将Docs/Blog系统集成到自己的项目中，一般我们会采用从DB中读取markdown格式的文章然后通过react组件渲染在页面上。但是文章的撰写和预览就比较麻烦，但是通过MDX格式就可以轻松实现。

MDX是什么格式？MDX = Markdown + JSX
在 MDX 里可以混用 Markdown 和 React 组件，这是普通 Markdown 做不到的。