04-26 16:01 · 科技,GitHub
⭐ Open Source Marketing Playbook — How to get 10k+ GitHub stars. Complete OSS launch strategy from AFFiNE (33k stars in 18 months). GitHub trending, HackerNews, developer community.
💡 Need a 1-on-1 architecture call for your B2B/Open-source launch? Book a session for $200 (Crypto/USDT and Wire Transfer accepted) — Contact @Iris_carrot on Telegram
Or visit gingiris.com — Iris's consulting practice with 1:1 sessions, startup coaching, and enterprise retainer options.
💡 Why Star this?
- Battle-Tested: Documents the exact strategies used for 30x PH #1 and 60k Stars.
- AI-Native: Battle-tested AI Agent Skills to automate your next 10k stars.
- PH Strategy: Access the playbook that earned 30x Product Hunt #1.
🌱 Our Philosophy
"创业没有那么高大上，创业就是做生意。" — Startups aren't glamorous; they're just business.
"痛点永远比痒点值钱。" — Pain points are always worth more than nice-to-haves.
"长期信任比快钱更难，也更值钱。" — Long-term trust is harder than quick money, and worth more.
This playbook is built on real failures and hard-won wins from scaling open source projects globally.
💼 Work With Iris
1. Strategic Consultation (1v1)
2. Advisory Retainer
3. Playbooks & Templates
📩 Contact @Iris_carrot on Telegram — Crypto/USDT and Wire Transfer accepted
This playbook is available as a ClawdHub Skill — install it directly into Claude Code, OpenClaw, or any compatible AI agent:
clawhub install gingiris-opensource
Your AI agent can then help you execute OSS marketing strategies and track your GitHub growth.
If you find this playbook useful, a GitHub Star ⭐ helps others discover it!
From the team behind AFFiNE (60k+ stars). This playbook contains the exact strategies that achieved:
Real results from developers using this playbook:
📢 Grew your GitHub stars with this playbook? We'd love to feature your story! Submit your case study
Version: 5.0 (Final) | Author: Iris (生姜iris)
The essence of open source: ask developers to contribute influence (love), and ask B2B customers to contribute money 💰. Through proper SOP operations, open sourcing can convert into hundreds or thousands of stars and bring many SMB leads. Prepare your business model before open sourcing — otherwise you'll waste the traffic this action brings.
Beyond standard launch ops, these force multiplier tactics can bring hundreds of stars in a single coordinated push.
Why it works: Students are highly engaged, love discovering new tools, and share aggressively within their networks.
🎯 Pro tip: India has the highest concentration of student hackathon activity globally. One well-connected sponsor can mobilize 5-10 events.
Why it works: Technical KOLs have pre-qualified audiences. A database expert's followers are database developers — exactly who you want.
🎯 Pro tip: Don't spray-and-pray. Find 3-5 KOLs whose user base perfectly overlaps your target. Quality > quantity.
Outreach template:
Hey [Name], loved what you built with [Project].
We just open-sourced [Tool] — solves [specific problem] for [audience].
Would you be open to sharing with your community if you find it useful?
Happy to return the favor or collaborate on content.
Why it works: Existing relationships = speed + reliability. No cold outreach friction.
Execution framework:
- List all influencers you've worked with in past 12 months
- Segment by response speed and audience size
- Stagger asks across launch week for sustained momentum
- Prep shareable assets (1-liner, screenshot, thread draft)
🎯 Pro tip: You can control the pace of star growth. Need a spike on Day 3? Activate your fastest responders that morning.
Why it works: Devtool founders and teams actively scout for useful tools. They share discoveries with their communities.
Timing insight:
Day 1: Post goes out → crickets (people are busy)
Day 2: First reshares start appearing
Day 3: Compound effect kicks in
🎯 Pro tip: These are "slow burn" channels. Don't panic on Day 1. The engagement comes on Day 2-3 as people catch up on their feeds.
版本：5.0 (最终版) | 作者：Iris (生姜iris)
开源的本质是，请 developer 贡献爱（就是影响力），请 to B 客户贡献钱💰。开源这个 action 经过 SOP 的运营可以转化几百几千 star，带来很多 SMB 的 leads。准备好商业模式再开源，才能承接住开源这个 action 带来的流量，避免浪费。
除了常规发布运营，以下是杠杆型策略——单次协调推送可带来数百颗 Star。
为什么有效： 学生群体参与度高、热衷发现新工具、在圈子里传播速度极快。
🎯 实战技巧： 印度是全球学生黑客松活动最密集的地方。一个人脉广的赞助商可以撬动 5-10 场活动。
为什么有效： 技术 KOL 的受众是预筛选过的。数据库专家的粉丝就是数据库开发者——正是你要的人。
🎯 实战技巧： 不要广撒网。找 3-5 个用户群高度重叠的 KOL。质量 > 数量。
外联模板：
Hi [名字]，很喜欢你做的 [项目]。
我们刚开源了 [工具]——帮 [目标用户] 解决 [具体问题]。
如果你觉得有用，愿意分享给你的社区吗？
很乐意回馈或者一起做内容合作。
为什么有效： 已有关系 = 速度 + 可靠性。没有冷启动的摩擦。
执行框架：
- 列出 过去 12 个月合作过的所有 influencer
- 分层 按响应速度和受众规模分组
- 错峰 在发布周内分散请求，保持持续势头
- 备好 可直接用的素材（一句话介绍、截图、推文草稿）
🎯 实战技巧： 你可以控制 star 增长的节奏。Day 3 需要一波高峰？当天早上激活你最快响应的那批人。
为什么有效： DevTool 创始人和团队会主动寻找有用的工具。他们会把发现分享给自己的社区。
时间节奏洞察：
Day 1: 帖子发出 → 没啥动静（大家在忙）
Day 2: 第一波转发开始出现
Day 3: 复利效应启动
🎯 实战技巧： 这些是**「慢热」渠道**。Day 1 别慌。互动会在 Day 2-3 到来，等大家刷到你的内容。
Want all four playbooks in one comprehensive package? Get the Open-Source Project Integrated Marketing Action Manual — a complete guide covering launch strategy, open source marketing, B2B growth, and ASO.
Iris (生姜iris) — Former cofounder & COO of AFFiNE, grew the project from 0 to 60k+ GitHub stars.
- 🐦 Twitter: @WeiYipei
- 💼 LinkedIn: Yipei Wei
- 💬 Telegram: @Iris_carrot
- 📱 即刻: 生姜iris
- 📧 公众号: 云宝的桃
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04-26 16:01 · 科技,GitHub
1,300+ curated trending AI image prompts from X/Twitter, ranked by engagement. Works with NanoBanana Pro, GPT Image, Midjourney
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04-26 16:01 · 开源,自动化,AI技能生成,GitHub趋势,技术集成
Auto-generated agent skills from GitHub trending — by ara.so
Auto-generated agent skills from GitHub's trending open source projects, byara.so.
Ara— instant AI agent environments in the cloud.
Auto-generated agent skills from GitHub trending — by ara.so
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04-26 16:01 · 科技,GitHub
Self-hosted Plex companion: Smart Discovery (recommendations from watch history and taste), add movies and shows from the app via Radarr/Sonarr, Kometa config builder (no YAML), Plex collections, Overseerr requests, Tautulli trending. One dashboard, less scrolling, more watching.
Saved you a scroll or two? If this app saves you from endless scrolling, a star for the project helps a lot.
Self-hosted Plex companion: Smart Discovery from your watch history, add movies/shows via Radarr/Sonarr, Kometa builder, Plex collections, Tautulli. One dashboard -less scrolling, more watching.
SeekAndWatch Cloud (beta) - Hosted option so friends and family can request from your Plex server without needing access to your apps. You approve or deny; requests sync to Radarr or Sonarr. Zero port forwarding.
Documentation: Wiki - install, Smart Discovery, Plex Collections, Radarr, Sonarr, Kometa builder, troubleshooting.
Important:
- SeekAndWatch Cloud linking now uses the local app payload plus One-Click Pair with Cloud in Requests Settings. Existing cloud users may need to re-link after updating.
- The main app uses the TMDB API Read Access Token. Kometa uses its own separate TMDB API Key field.
- Public registration is first-run only by default. After the first account is created, registration stays closed unless you explicitly re-enable it.
/config
must be writable so SeekAndWatch can persist its secret key, or you must provideSECRET_KEY
yourself.
SeekAndWatch is a self-hosted Plex companion that turns your library into a smart “what should we watch?” hub. It connects Plex, Tautulli, TMDB, Radarr, and Sonarr in one dashboard so you can discover, decide, and request without switching tabs.
Goal: spend less time browsing, more time watching. It uses your watch history and owned libraries (Plex, Radarr, Sonarr) to surface stuff you don’t have yet and gives you tools to build collections without editing YAML.
- Uses your last 5,000 plays to build a taste profile and recommend titles you don’t own or haven’t watched.
- Seed-based recommendations (pick movies/shows you like; get similar stuff) plus I’m Feeling Lucky for random picks.
- Filters: genre, year, rating, Certified Fresh (Rotten Tomatoes), future releases only, international & obscure.
- Owned items hidden - Plex library plus optional Radarr/Sonarr scanner so recommendations exclude what you already have.
- Randomized results each run; load more without regenerating.
- Instant trailers in the app; optional OMDB for Rotten Tomatoes/critic scores.
- Add movies/shows from the app - Request from Smart Discovery or elsewhere; opens in Radarr/Sonarr with quality profile and root folder.
- Requested (Media page) - View and manage requested items in one place. Adding to Radarr/Sonarr is done from Smart Discovery or the request flow, not from a Radarr/Sonarr library view in the app.
- Radarr & Sonarr Scanner (optional) - Background scan of your Radarr/Sonarr libraries so those items are treated as "owned" and excluded from Smart Discovery (in addition to Plex).
- Visual builder for Kometa overlays and collections with toggles.
- Uses a Kometa-only TMDB v3 API key inside the builder. The rest of SeekAndWatch uses the TMDB API Read Access Token.
- Live preview for overlays, ratings, codecs, content badges.
- Library templates, undo/redo, comparison (current vs saved), performance estimates.
- Import configs (paste or URL); generates clean configs you can refine later.
- 130+ preset collections - decades, genres, studios, themes, international, awards. Categories are collapsible so you can focus on what you use.
- Visibility - Home, Library recommended, and Friends checkboxes on every collection; changes apply to Plex right away (no need to run the collection again).
- Library Browser - Live view of all collections on your Plex server with the same visibility toggles. In Plex you can reorder and change options under Settings -> Manage -> Libraries -> Manage Recommendations.
- Auto-update (daily/weekly/manual), sync strict or append-only.
- Multi-library support - sync collections across multiple Plex libraries.
- System Health Bar - Compact status indicators on the dashboard for Plex, Radarr, Sonarr, and Cloud connections.
- One-Click Plex Linking - No more manual token entry! Link your account via official Plex OAuth and the app automatically discovers your server.
- One-Click Cloud Pairing - In Requests Settings, import the local app payload from the cloud website's Pairing Bootstrap Secret section, then run one-click pairing.
- Quick Tunnels - Enable instant cloud notifications (webhooks) without opening ports or setting up a reverse proxy. If instant delivery is unavailable, the app falls back to polling.
- Background Alias Discovery to reduce duplicate recommendations; blocklist for titles you never want to see.
- Ignore specific Plex users in recommendation history.
- Radarr/Sonarr for direct add; track past requests across both.
- Tautulli integration for trending on server.
- Backup/restore (including import); one-click updates for manual Docker installs (Unraid App Store installs update via App Store only).
- System logs and health for scans and scheduled jobs; multi-user accounts with admin controls; security safeguards for logins, forms, and file
▸ 展开全文
04-26 16:01 · 科技,GitHub
OpenClaw AI agent skill for automated TikTok and Instagram carousel growth. Pass any website URL to analyze brand, competitors, colors, value proposition. Generates 6 visually coherent slides and auto-publishes with trending music via upload-post API. Built-in analytics and learning loop. Free tier, no credit card. Larry alternative.
Generate viral TikTok/Instagram carousel slides from any website automatically.
Post 1 carousel per day. Learn. Iterate. Grow.
Day 1: Post → Analyze → Learn
Day 7: 7 data points, patterns emerging
Day 30: Refined strategy, proven hooks, optimal timing
The skill accumulates insights across ALL your posts in learnings.json
.
- 🔍 Full Business Research - Analyzes brand, features, competitors from any URL
- 🎨 AI Image Generation - Creates 6 visually coherent slides with Gemini (free plan available, no credit card)
- 📱 Direct Publishing - Posts straight to your TikTok feed with auto trending music + Instagram simultaneously. No drafts, no manual steps
- 💰 100% Free to Start - Both APIs (Gemini and upload-post.com) have free plans, no credit card required
- 📊 Analytics Tracking - Monitors performance across all posts
- 🔄 Learning Loop - Accumulates insights: best hooks, times, days, styles
# 1. Analyze website
node scripts/analyze-web.js https://your-product.com
# 2. Generate slides
GEMINI_API_KEY="..." bash scripts/generate-slides.sh
# 3. Publish
UPLOADPOST_TOKEN="..." bash scripts/publish-carousel.sh
# 4. Check analytics
UPLOADPOST_TOKEN="..." bash scripts/check-analytics.sh 7
- Node.js 18+
- Playwright (
npm install playwright && npx playwright install chromium
) - uv (Python package runner)
- jq
- Hook - Attention-grabbing question/problem
- Problem - Agitate the pain point
- Agitation - Show competition advancing
- Solution - Reveal your product
- Feature - Key benefit
- CTA - Call to action (Link in bio)
- ✅ All credentials are read from environment variables, not stored in files
- ✅ No API keys are hardcoded in any scripts
- ✅ Website analysis only reads public web pages (no authentication scraping)
- ✅ All generated data stays local in
/tmp/carousel/
- Website URL → Analyzed by Playwright (local browser) →
analysis.json
- Analysis → Sent to Gemini API → Returns generated images
- Images + Caption → Sent to Upload-Post API → Published to TikTok/Instagram
- Analytics → Fetched from Upload-Post API → Stored locally in
learnings.json
No sensitive user data is transmitted. Only the content you're publishing.
Most carousel automation skills post to drafts and require manual publishing. Viraloop is different:
See SKILL.md for full documentation.
MIT
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04-26 16:01 · 科技,GitHub
自动追踪 skills.sh 技能排行榜，AI 智能分析，每日趋势报告邮件
自动追踪 skills.sh 技能排行榜，AI 智能分析，每日趋势报告邮件
Skills Trending Daily 是一个自动化技能趋势追踪系统。它每天从 skills.sh/trending 获取最新的技能排行榜，使用 Claude AI 对热门技能进行智能分析和分类，计算排名变化趋势，并通过 Resend 发送专业的 HTML 邮件报告。
- 开发者视角 - 快速了解哪些技能值得学习
- 趋势洞察 - 捕捉新兴技术框架和工具的崛起
- 智能总结 - AI 帮你理解每个技能解决什么问题
- 自动化 - 无需手动查看网站，每天自动推送
Skills Trending Daily - 2026-01-24
├── Top 20 Leaderboard（含 AI 总结）
│ ├── 技能名称（可点击跳转）、排名、安装量
│ ├── AI 一句话摘要
│ ├── 详细说明
│ └── 解决的问题标签
├── Rising Skills（上升幅度 Top 5）
├── Declining Skills（下降幅度 Top 5）
├── New & Dropped（新晋/掉榜）
└── Trending Up（安装量暴涨告警）
┌─────────────────────────────────────────────────────────────────┐
│ Skills Trending 系统架构 │
└─────────────────────────────────────────────────────────────────┘
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ GitHub │ │ Playwright │ │ Claude │
│ Actions │ ──▶ │ Skills │ ──▶ │ Summarizer │
│ (Cron Daily)│ │ Fetcher │ │ AI │
└──────────────┘ └──────┬───────┘ └──────┬───────┘
│ │
▼ │
┌──────────────┐ │
│ Detail │ │
│ Fetcher │ │
│ (Top N) │ │
└──────┬───────┘ │
│ │
└───────┬───────────────┘
│
▼
┌──────────────┐
│ Database │
│ (SQLite) │
└──────┬───────┘
│
▼
┌──────────────┐
│ Trend │
│ Analyzer │
└──────┬───────┘
│
▼
┌──────────────┐
│ HTML │
│ Reporter │
└──────┬───────┘
│
▼
┌──────────────┐
│ Resend │
│ Sender │
└──────┬───────┘
│
▼
──────► 您的邮箱
- Python 3.11+
- Claude API Key（支持智谱代理）
- Resend API Key
# 克隆仓库
git clone https://github.com/geekjourneyx/trending-skills.git
cd trending-skills
# 安装依赖
pip install -r requirements.txt
# 安装 Playwright 浏览器
playwright install chromium
# 复制环境变量模板
cp .env.example .env
# 编辑 .env 文件，填入你的 API Keys
nano .env
# 设置环境变量
export ZHIPU_API_KEY="your_api_key"
export RESEND_API_KEY="your_resend_key"
export EMAIL_TO="your_email@example.com"
# 运行
python src/main_trending.py
- 注册 Resend
- 创建 API Key
- 配置发件人域名（或使用默认的
onboarding@resend.dev
）
# 完整流程
python src/main_trending.py
# 查看最新数据日期
sqlite3 data/trends.db "SELECT date FROM skills_daily ORDER BY date DESC LIMIT 1;"
# 查看今日排行榜 Top 10
sqlite3 data/trends.db "SELECT rank, name, installs FROM skills_daily WHERE date = '2026-01-24' ORDER BY rank LIMIT 10;"
# 查看技能详情
sqlite3 data/trends.db "SELECT name, summary, category FROM skills_details WHERE name = 'remotion-best-practices';"
- Fork 本仓库
- 在 GitHub Settings > Secrets and variables > Actions 中添加：
ZHIPU_API_KEY
RESEND_API_KEY
EMAIL_TO
（可选）
- 启用 Actions
默认每天 UTC 02:00（北京时间 10:00）自动运行。
修改时间：编辑 .github/workflows/skills-trending.yml
中的 cron
表达式。
在 GitHub Actions 页面点击 "Run workflow" 按钮手动执行。
skills-trending/
├── .github/workflows/
│ └── skills-trending.yml # GitHub Actions 配置
├── src/
│ ├── config.py # 配置管理
│ ├── database.py # SQLite 操作
│ ├── skills_fetcher.py # 榜单抓取（Playwright）
│ ├── detail_fetcher.py # 详情抓取
│ ├── claude_summarizer.py # AI 分析
│ ├── trend_analyzer.py # 趋势计算
│ ├── html_reporter.py # 邮件生成
│ ├── resend_sender.py # 邮件发送
│ └── main_trending.py # 主入口
├── plugins/
│ └── trending-skills/ # Claude Code Skill
├── data/
│ └── trends.db # 数据库（运行时生成）
├── requirements.txt
├── .env.example
├── CHANGELOG.md
└── README.md
新增数据源
# 修改 skills_fetcher.py
class SkillsFetcher:
def __init__(self, timeout: int = 30000):
self.trending_url = "your_custom_url"
新增分析维度
# 修改 trend_analyzer.py
def calculate_trends(self, today_skills, today, ai_summary_map):
# 添加新的分析逻辑
pass
自定义邮件样式
# 修改 html_reporter.py
def _get_header(self, date: str) -> str:
# 修改样式和布局
pass
- 检查 Resend API Key 是否正确
- 确认收件人邮箱地址
- 查看垃圾邮件箱
- 检查 GitHub Actions 日志
# 重新安装
playwright install chromium --with-deps
默认位置：data/trends.db
sqlite3 data/trends.db
.tables
SELECT * FROM skills_daily ORDER BY date DESC LIMIT 10;
编辑 .github/workflows/skills-trending.yml
：
schedule:
- cron: '0 2 * * *' # UTC 时间，每天 02:00
如果该项目帮助了您，请作者喝杯咖啡吧
- 作者:
geekjourneyx
- X (Twitter): https://x.com/seekjourney
- 公众号: 极客杰尼
关注公众号，获取更多 AI 编程、AI 工具与 AI 出海建站的实战分享：
- skills.sh - 技能数据来源
- Anthropic - Claude AI
- Resend - 邮件服务
- Playwright - 浏览器自动化
▸ 展开全文
04-26 16:00 · 科技,GitHub
Local-first dashboard for Codex sessions with trends, token usage, tools, and word cloud | Codex 本地数据分析仪表盘
Codex Viz is a local-first dashboard for exploring your Codex CLI sessions. It indexes your local JSONL history and turns it into clear trends, token usage, tool insights, and a focused word cloud.
If you want fast answers to “what did I do”, “how much did it cost”, and “where did my time go”, this is the smallest tool that feels big.
Codex Viz 是一个本地优先的 Codex CLI 会话可视化面板。它只读取你本机的 JSONL 历史，快速生成趋势、Token 使用、工具洞察与输入词云。
你想知道“我最近都在做什么”“消耗了多少 Token”“哪些工具最常用”，这里一眼就能看到。
- 本地索引：SQLite 缓存，快速查询
- 趋势看板：会话、消息、工具、Token 趋势
- Token 统计：基于
event_msg.token_count
的total_token_usage
增量累计，首条/重置时用last_token_usage
兜底- Prompt(含缓存) =
input_tokens
；cached_input_tokens
为其中命中缓存的子集
- Prompt(含缓存) =
- 词云：对 user 输入做轻量分词（英文词 + 中文 2/3-gram）
- 工具排行：Top 工具一眼可见
pnpm i
pnpm dev
打开 http://localhost:3000
CODEX_SESSIONS_DIR
：默认~/.codex/sessions
CODEX_VIZ_CACHE_DIR
：默认~/.codex-viz/cache
- 想追踪个人/团队在 Codex 上的投入与产出
- 需要快速复盘近期任务与工具使用偏好
- 希望用更直观的方式理解 Token 消耗
MIT License，详见 LICENSE
。
Codex Viz is a local-first dashboard for Codex CLI sessions. It reads your JSONL history on your machine and turns it into trends, token usage, tool insights, and a focused user-input word cloud.
If you want to quickly answer “what I worked on”, “how many tokens I used”, and “which tools I rely on”, this gives you that at a glance.
- Local indexing with SQLite for fast queries
- Trend chart for sessions, messages, tools, and tokens
- Token accounting from
event_msg.token_count
using incrementaltotal_token_usage
- Prompt (incl. cache) =
input_tokens
;cached_input_tokens
is a subset of it
- Prompt (incl. cache) =
- Lightweight word cloud from user input (EN tokens + ZH 2/3-gram)
- Top tools leaderboard
pnpm i
pnpm dev
Open http://localhost:3000
CODEX_SESSIONS_DIR
(default~/.codex/sessions
)CODEX_VIZ_CACHE_DIR
(default~/.codex-viz/cache
)
- Track personal/team Codex usage and trends
- Review recent work and tool preferences
- Make token usage more tangible
MIT License. See LICENSE
.
Partnership with https://llmapis.com - Discover more AI tools and resources
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04-26 16:00 · 科技,GitHub
Kakobuy Spreadsheet features 3,000+ trending products from Weidian, Taobao, and 1688, with affordable new arrivals added daily. Explore the latest finds from the past 7 days, plus shoes and clothing on MaisonLooks with QC photos and AI try-on. Order easily through your preferred agent.
All-in-One Spreadsheet for Kakobuy, ACbuy, Litbuy, OOPbuy, Sugargoo & Superbuy. Features 3000+ trending Chinese products from Weidian, Taobao & 1688 with daily updates. Browse premium finds on MaisonLooks with QC photos and AI try-on. Order easily via your preferred agent for the best shopping experience.
Discover over 3,000 trending Chinese products on our Master Spreadsheet, fully compatible with Kakobuy, ACbuy, Litbuy, OOPbuy, Sugargoo, and Superbuy. We feature daily affordable arrivals from Weidian, Taobao, and 1688, maintained with updates every 24 hours.
- Premium Selection: Browse the best finds and belts curated for all agents.
- Smart Shopping: Access high-quality QC photos and AI try-on technology.
- Daily Updates: See the latest additions from the past 7 days.
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04-26 16:00 · 科技,GitHub
Natively - Free open-source AI interview copilot & meeting assistant. The best Cluely alternative, Final Round AI alternative, and Interview Coder alternative. Real-time transcription, undetectable stealth mode, local RAG, BYOK. No subscriptions. No data breaches.
If you’re looking for a hosted desktop recording API, consider checking out Recall.ai, an API that records Zoom, Google Meet, Microsoft Teams, in-person meetings, and more.
The best free alternative to Cluely, Final Round AI, LockedIn AI, and Interview Coder.
Same UI as Cluely. More features. $0. Open source. No data breaches.
Competitors charge $20–$149/month, store your data on their servers, and one already breached 83,000 users. Natively costs $0, runs locally, and has never had a data breach. Your keys, your models, your machine.
Requires macOS 12+ (Apple Silicon & Intel) or Windows 10/11
👥 9,000+ Users · 🔥 700+ DAU · 💸 $0 vs $149/mo rivals · ⚡ <500ms latency · 🛡️ 0 data breaches
Natively started as a pixel-perfect recreation of Cluely's interface — then kept going. If you've used Cluely, you already know how to use Natively. Same overlay, same workflow, same shortcuts. Except it's free, open-source, runs locally, supports any LLM, and has never breached a single user's data.
Looking for a free Cluely alternative? A Cluely open-source clone? You found it.
"This is a fantastic piece of software and you should definitely keep up the great work! This is exactly what I was looking for. I started out trying the open-source version, and because it worked so well, I decided to go ahead and buy the full premium license."
— Oskar Krzak (⭐⭐⭐⭐⭐ via Gumroad)
"Natively is significantly faster than Cluely when it comes to response time and screen analysis. The latency is practically non-existent."
— Premium User
"Just wanted to say thanks! Natively helped me completely crack the first two rounds of my Software Engineering interviews. The responses were incredibly fast and accurate."
— Private Email Feedback
"Used the free version of Natively for my interviews and just landed a massive summer internship. It took all the stress out of the live coding and behavioral rounds!"
— Private Email Feedback
While other tools act as simple API wrappers, Natively is a complete, native intelligence system designed specifically for high-stakes meetings and interviews.
- Native Audio Capture (<500ms): Built with Rust and Zero-Copy ABI transfers, bypassing generic web-audio limitations for ultra-low latency.
- Dual-Channel Intelligence: Distinct pipelines for system audio (what they say) and your microphone (what you dictate) ensuring perfect transcription without room noise.
- Battle-Tested Stealth Mode: Completely undetectable. Hides from the dock, disables popups, and disguises the process during screen sharing.
- Rolling Context: We don't just transcribe; we maintain a "memory window" of the conversation for smarter answers.
- Local RAG Memory: We embed your meetings locally using SQLite vector search so you can ask, "What did John say about the API last week?"
- Custom Personas & Reference Docs: Switch between tailored AI roles (Tech, Sales, HR) and inject specific PDFs to give the AI your exact context.
- Rich Dashboard: A full UI to manage, search, and export your history—not just a floating window.
- Fully Offline Capable: Don't trust the cloud? Run Natively 100% offline using local Ollama models with limited anonymous telemetry.
- Cluely had a data breach in mid-2025 that exposed 83,000 users' personal info, transcripts, and screenshots — Natively stores everything locally by default with limited anonymous telemetry and has never had a breach.
- Final Round AI costs $149/month and its taskbar icon is visible to proctoring software — Natively is free, open-source, and has a battle-tested undetectable stealth mode.
- LockedIn AI charges $55–70/month and locks you into their cloud LLM with no local option — Natively lets you use any model (GPT, Claude, Gemini, Llama) or go fully offline with Ollama.
Every star pushes Natively higher in GitHub search, helping developers and job seekers find a free, private alternative instead of paying $149/month for tools that store their data on someone else's server.
This demo shows a complete live meeting scenario:
- Real-time transcription as the meeting happens
- Rolling context awareness across multiple speakers
- Screenshot analysis of shared slides
- Instant generation of what to say next
- Follow-up questions and concise responses
- All happening live, without recording or post-processing
Legend: ✅ Full support ·
⚠️ Partial or limited · ❌ Not available
The UI is intentionally familiar — if you've used Cluely, there's zero learning curve.
Cluely's mid-2025 data breach exposed personal information, full interview transcripts, and screenshots of 83,000 users. Every word spoken during an interview was stored on their servers — and then leaked. They charge $20/month for this privilege.
By default, Natively stores everything on your local machine, with only limited anonymous telemetry (basic GA4 install tracking, zero personal data). Your transcripts, API keys, and screenshots never leave your machine when using your own keys. The entire codebase is open-source (AGPL-3.0) and auditable. Zer
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04-26 16:00 · 科技,GitHub
Daily news and hot topics via the 6551 API. Supports news categories, hot news articles, and trending tweets by category.
Daily News MCP Server
News Categories · Hot News · Trending Tweets · Crypto Intelligence
claude mcp add daily-news \
-- uv --directory /path/to/daily-news run daily-news-mcp
Replace
/path/to/daily-news
with your local project path.
cp -r openclaw-skill/daily-news ~/.openclaw/skills/6551-daily-news
Not sure if this MCP is safe? Paste the prompt below to your AI assistant — it will review the source code first, then install if safe:
Copy this prompt and send it to your AI assistant (replace
<project-path>
with actual value):
Please review and install the daily-news-mcp MCP server for me. The project is at <project-path>.
Steps:
1. Review these files for security:
- src/daily_news_mcp/api_client.py — Confirm it only connects to ai.6551.io, no data sent elsewhere
- src/daily_news_mcp/config.py — Confirm no hardcoded secrets or leaks
- src/daily_news_mcp/tools.py — Confirm all tools only perform API queries, no file writes, command execution, or dangerous operations
- pyproject.toml — Confirm dependencies are only mcp, httpx, no suspicious packages
2. Tell me your conclusion: safe / risky / problematic, with specific reasons
3. If safe, run the install:
claude mcp add daily-news -- uv --directory <project-path> run daily-news-mcp
Once connected, just ask your AI assistant:
Also supports config.json
in the project root (env vars take precedence):
{
"api_base_url": "https://ai.6551.io",
"max_rows": 100
}
[
{
"key": "crypto",
"name": "Crypto",
"name_zh": "加密货币",
"description": "...",
"subcategories": [
{
"key": "defi",
"name": "DeFi",
"name_zh": "去中心化金融",
"description": "..."
}
]
}
]
{
"success": true,
"category": "crypto",
"subcategory": "defi",
"news": {
"success": true,
"count": 10,
"items": [
{
"id": 123,
"title": "...",
"source": "...",
"link": "https://...",
"score": 85,
"grade": "A",
"signal": "bullish",
"summary_zh": "...",
"summary_en": "...",
"coins": ["BTC", "ETH"],
"published_at": "2026-03-17T10:00:00Z"
}
]
},
"tweets": {
"success": true,
"count": 5,
"items": [
{
"author": "Vitalik Buterin",
"handle": "VitalikButerin",
"content": "...",
"url": "https://...",
"metrics": { "likes": 1000, "retweets": 200, "replies": 50 },
"posted_at": "2026-03-17T09:00:00Z",
"relevance": "high"
}
]
}
}
Other Clients — Manual Install (click to expand)
In all configs below, replace
/path/to/daily-news
with your actual local project path.
Edit config (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
, Windows: %APPDATA%\Claude\claude_desktop_config.json
):
{
"mcpServers": {
"daily-news": {
"command": "uv",
"args": ["--directory", "/path/to/daily-news", "run", "daily-news-mcp"]
}
}
}
~/.cursor/mcp.json
or Settings > MCP Servers:
{
"mcpServers": {
"daily-news": {
"command": "uv",
"args": ["--directory", "/path/to/daily-news", "run", "daily-news-mcp"]
}
}
}
~/.codeium/windsurf/mcp_config.json
:
{
"mcpServers": {
"daily-news": {
"command": "uv",
"args": ["--directory", "/path/to/daily-news", "run", "daily-news-mcp"]
}
}
}
cd /path/to/daily-news
uv sync
uv run daily-news-mcp
# MCP Inspector
npx @modelcontextprotocol/inspector uv --directory /path/to/daily-news run daily-news-mcp
├── README.md # English
├── docs/
│ ├── README_ZH.md # 中文
│ ├── README_JA.md # 日本語
│ └── README_KO.md # 한국어
├── openclaw-skill/daily-news/ # OpenClaw Skill
├── pyproject.toml
├── config.json
└── src/daily_news_mcp/
├── server.py # Entry point
├── app.py # FastMCP instance
├── config.py # Config loader
├── api_client.py # HTTP client
└── tools.py # 2 tools
MIT
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