04-07 01:22 · 开源工具,AI营销,自动化流程,内容生成,多模型集成
50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social intelligence. Works with Claude Code, Pi, ChatGPT, Gemini, Cursor, Windsurf, any AI.
Turn any AI into your affiliate marketing team.
50 AI-powered skills across 8 stages with a closed-loop flywheel. Research programs, scout trending content, write data-backed posts, generate infographics, build pages, deploy, track, optimize, scale — with any AI agent.
Works with: Claude Code · Pi · ChatGPT · Gemini CLI · Cursor · Windsurf · OpenClaw · any AI that reads text
# Claude Code / Pi (recommended)
npx skills add Affitor/affiliate-skills
# Or clone manually
git clone https://github.com/Affitor/affiliate-skills.git ~/.claude/skills/affiliate-skills
cd ~/.claude/skills/affiliate-skills && ./setup
# OpenClaw / ClawHub
clawhub install affiliate-skills
# Cursor / Windsurf
npx skills add Affitor/affiliate-skills
Paste this into any AI:
Search the Affitor affiliate directory for AI video tools.
Use this API: GET https://list.affitor.com/api/v1/programs?q=AI+video&sort=top&limit=5
Show me the results in a table with: Name, Commission, Cookie Duration, Stars.
Then recommend the best one and explain why.
- You Google "best affiliate programs" and get SEO spam written to rank, not to help
- You write content from gut feeling with no idea what format actually performs
- You have no data on what's trending, what hooks work, or what gaps exist
- You spend 4 hours on a landing page that converts at 0.2%
- You pick programs by vibes instead of data
S1 RESEARCH ──▶ S2 CONTENT ──▶ S3 BLOG & SEO ──▶ S4 OFFERS & LANDING
▲ │
│ ▼
│ S5 DISTRIBUTION
│ │
└──────────── S6 ANALYTICS ◀─────────────────────────┘
│
▼
S7 AUTOMATION → SCALE
│
S8 META (across all)
Closed loop. S6 Analytics feeds BACK to S1 Research. Every skill knows what comes next (chain_metadata.suggested_next
) and what feeds it. Data flows forward through the funnel and back through analytics.
Data-driven. S1 skills don't just find programs — they scout what content is actually performing (views, likes, shares), analyze traffic, and rank angles by real engagement data. By the time you write, you already know what format, hook, and platform to use.
Research-backed. Content skills don't write from thin air. content-research-brief
collects real source articles first. Your posts have real stats, real quotes, and current information.
You: I want to promote AI video tools. What's trending?
AI: [runs trending-content-scout]
Scanned 47 videos across YouTube + TikTok.
Top format: comparison (45% of top content, avg engagement: 35.2)
Best hook: "I replaced my $5K video team with AI" (engagement: 42.3)
Gap: nobody comparing HeyGen vs Synthesia on TikTok
Benchmark: median 18K views, top 10% needs 85K+
You: What's the best program to promote?
AI: [runs affiliate-program-search + traffic-analyzer]
Name Commission Cookie Stars Traffic Score
──────────────────────────────────────────────────────────────
HeyGen 30% recurring 60 days ★ 127 82/100
Synthesia 25% one-time 30 days ★ 84 76/100
D-ID 20% recurring 45 days ★ 52 61/100
HeyGen wins: highest commission, recurring, longest cookie,
strongest website traffic (2.1M monthly visits, 35% direct).
You: Research the latest about HeyGen for a LinkedIn post.
AI: [runs content-research-brief]
📚 7 sources collected (5 fully fetched)
🏷️ Tags: AI (7), Funding (2), Tools (5)
Key stats:
- "$60M Series A at $500M valuation" — TechCrunch
- "40,000+ businesses use HeyGen" — company blog
- "Avatar 3.0 launched with real-time lip sync" — The Verge
3 angles generated:
1. "HeyGen just raised $60M — here's what it means for AI video"
2. "I tested HeyGen vs Synthesia for 30 days — honest comparison"
3. "AI video tools are killing the $45B production industry"
You: Write angle 2 as a LinkedIn post with an infographic.
AI: [runs viral-post-writer + infographic-generator]
Post: 1,200-char comparison post, bold claim hook,
soft CTA in comments, FTC disclosure.
Infographic: side-by-side comparison card (1080×1350),
HeyGen vs Synthesia — commission, features, pricing.
Dark modern palette, self-contained HTML ready to render.
You: Now a TikTok script.
AI: [runs tiktok-script-writer]
45-second script, demo_first hook (backed by scout data):
"Watch me create a $2,000 video for free in 30 seconds."
Hook → Pain → Demo → Result → CTA. Bio link reminder.
You: Plan my full funnel — I have 5 hours/week.
AI: [runs funnel-planner]
Week 1: Scout + Research → find winning angles + collect sources
Week 2: Content → 5 LinkedIn posts + 2 TikToks + 2 infographics
Week 3: Blog → comparison article backed by research brief
Week 4: Deploy → landing page + bio link live
Week 5: Analytics → compare your metrics vs scout benchmark
Week 6: Optimize → double down on what beat the benchmark
Target: first affiliate click by week 2, first commission by week 5.
Affiliates — Find programs, create content, track performance. Data-driven, not vibes.
Influencers & Creators — Research what's trending, create platform-native content, add infographics. Know what format and hook to use before you create.
Marketers — Content research, competitive analysis, multi-platform strategy. Research
▸ 展开全文
04-07 01:21 · 开源竞品,AI助手,隐私安全,本地部署,免费模式
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.
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
🔥 49.4k views · 💸 $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.
Natively works as a free, undetectable AI coding interview assistant for standard online assessments. It captures your screen, analyzes the problem, and gives you real-time hints, solutions, and explanations — all through an invisible overlay that doesn't interfere with your coding environment.
Works undetected on:
- LeetCode (including LeetCode contests)
- HackerRank
- CoderPad
- Codility
- HackerEarth
- Karat
- Any browser-based coding environment
How it works:
- Screenshot the problem with a single shortcut
- Natively OCRs the question and sends it to your chosen AI (GPT, Claude, Gemini, or local Ollama)
- Response appears in the invisible overlay — never on screen share
⚠️ Important: Natively is not designed to bypass dedicated proctoring software like Pearson VUE, ProctorU, or Respondus Lockdown Browser — these run at the OS level and are a different category entirely. For standard online coding assessments without dedicated proctoring software, Natively's stealth mode is not detectable.
- Cluely had a data breach in mid-2025 that exposed 83,000 users' personal info, transcripts, and screenshots — Natively stores everything locally with limited basic 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.
Natively has no backend, no servers, and limited telemetry (basic GA4 install tracking, zero user data). Your transcripts, API keys, and screenshots never leave your machine. The entire codebase is open-source (AGPL-3.0) and auditable. Zero breaches, zero data collection — that is the only acceptable standard for a tool that listens to your interviews.
LockedIn AI is the most expensive tool in the category at $55–70/month. It locks you into a single cloud LLM with no option for local inference. Every transcript and response passes through their servers.
Natively supports every major model (Gemini, GPT, Claude, Groq) via bring-your-own-key, and offers 100% offline mode through Ollama. You pay only for the API tokens you actually use — or pay nothing at all by running Llama 3 locally. No subscription, no vendor lock-in.
Final Round AI is the most expensive option at $149/month, optimized for pre-interview prep and mock interviews but with the slowest live latency in the category. Critically, its taskbar icon is visible to proctoring software, making it detectable during monitored interviews.
Natively delivers <500ms end-to-end latency using Rust-based native audio capture with Zero-Copy ABI Transfers. Its undetectable stealth mode hides from the dock, disguises process names, and syncs state across all windows — battle-tested and hardened across five major releases.
Pluely is a solid lightweight alternative (~10MB, Tauri-based) and it has Linux support, which Natively does not yet offer. Credit where it is due.
But Pluely is a basic overlay. It has no local RAG, no meetin
▸ 展开全文
03-30 05:07 · 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
▸ 展开全文
03-29 11:26 · 科技,GitHub
Agent Trending是一个聚焦 AI Agent 的开源研究项目，系统整理了 2025.01—2026.03 期间 8701 篇学术论文，围绕 15 个核心方向完成分类、去重、标注与趋势分析。项目包含月度论文索引、细分方向论文集、15 份技术趋势报告，以及 1 份全局趋势总报告和 1 份下一代 Agent 原型设计文档，适合研究者、工程团队和产业决策者快速把握 AI Agent 的技术演进与落地脉络。
Agent Trending 是一个面向 AI Agent 领域的大规模论文研究与趋势分析开源项目。
适合谁读
基于 15 个细分方向、8701 篇学术论文的跨领域深度分析报告。
过去 15 个月（2025.01—2026.03），AI Agent 领域经历了一次历史性的范畴跃迁，从"更聪明的聊天机器人"变成了"能在真实世界执行复杂任务的自主系统"。我们系统性地追踪了这一过程中 7700+ 篇学术论文的演进脉络，覆盖了从基础训练、认知架构、工具使用、多智能体协作到安全对齐、商业落地的完整技术栈，最终凝练为这份全景式趋势报告。
Agent 领域的论文月产出在一年间从约 200 篇飙升至 700+ 篇，信息过载让从业者很难建立全局认知。我们希望通过这份开源报告，帮助研究者快速定位高价值研究方向，帮助工程团队做出更有依据的技术选型，帮助商业决策者理解真实的技术成熟度而非营销叙事。
报告识别出 八大跨领域共振趋势：
- 强化学习全面取代监督微调，成为 Agent 能力获取的核心引擎
- 分层闭环架构成为系统设计的事实标准
- MCP / A2A 等通信协议催生"Agent 互联网"基础设施雏形
- 安全性从附加特性升级为系统生存前提
- 记忆与认知能力成为 Agent 从工具进化为助手的分水岭
- 软件工程成为全领域的首要验证场景
- 评测范式从结果打分转向过程审计
- 物理世界与数字世界 Agent 加速融合
报告同时给出了商业化冲击波排序、五大共性瓶颈分析，以及面向研究者、技术团队和投资者的差异化战略建议。
下表汇总了 15 个细分方向的论文集、技术趋势报告，以及从各方向执行摘要中提炼出的核心趋势、面临挑战与未来推演。
下表按月份汇总论文收录情况，并给出对应阶段的一句话趋势演化总结。
本仓库主要基于公开可获取的学术论文信息、公开链接以及作者的研究整理与分析撰写而成。
- 论文标题、摘要信息、链接等原始内容的版权归原作者及原出版方所有
- 本仓库中的综述、归纳、结构化整理与趋势判断为仓库维护者的原创工作
- 如你认为仓库中存在不适合公开展示的内容，请通过 Issue 或邮件联系处理
当前版本以资料整理和结构化发布为主，后续可能继续补充：
- 新月份追踪
- 方向报告迭代
- 导航页和索引页
- 英文化摘要
欢迎通过 Issue 或 Pull Request 参与改进，例如：
- 修正文档错误
- 补充遗漏论文
- 优化目录和导航
- 补充引用与来源说明
具体约定见 CONTRIBUTING.md。
如果这个仓库对你的研究或写作有帮助，欢迎在引用或转载时注明仓库地址与原作者信息。建议引用仓库中的具体文件，而不是仅引用仓库名。
本仓库采用 CC BY 4.0 许可协议。你可以转载、改编和分享，但需要保留署名。
▸ 展开全文
03-29 11:26 · 科技,GitHub
-
Research trending topics and generate ready-to-post social media content — as a Hermes/OpenClaw skill.
trendingcontent is a two-phase AI agent skill:
- Research phase — scrapes Reddit, X/Twitter, YouTube, TikTok, HackerNews, Bluesky and Brave Search to surface the most engaging content about your topic over a configurable time window (7, 15, 30, or up to 90 days).
- Content generation phase — uses the research findings to generate platform-specific social media copy: Twitter/X threads, LinkedIn posts, and Instagram captions.
Built on top of last30days by @mvanhorn, extended with:
- Variable time windows (not just 30 days)
- Multi-platform content generation (Twitter, LinkedIn, Instagram)
- Tone control (professional, casual, educational, viral)
- Multilingual output (English, Spanish, Portuguese)
- Hermes/OpenClaw skill standard compatibility
git clone https://github.com/gabogabucho/trendingcontent-agent.git
cd trendingcontent-agent
pip install -r requirements.txt
export SCRAPECREATORS_API_KEY="your_key" # required
export BRAVE_API_KEY="your_key" # optional but recommended
Or add them to your .env
file.
Get a ScrapeCreators API key at scrapecreators.com. Get a Brave Search API key at brave.com/search/api.
python scripts/trendingcontent.py "artificial intelligence" --days=7 --platform=all
python scripts/trendingcontent.py <topic> [options]
Options:
--days=N Time window: 7-90 days (default: 30)
--platform twitter | linkedin | instagram | all (default: all)
--tone professional | casual | educational | viral (default: professional)
--lang en | es | pt (default: en)
--sources=S1,S2 Only use these sources (reddit,twitter,youtube,tiktok,bluesky,hackernews,brave)
--disable=S1,S2 Disable specific sources
--list-sources Show all available sources
--quick Fewer sources, faster
--deep More sources, thorough
--research-only Output research only, skip content generation
# AI trends last 7 days → all platforms
python scripts/trendingcontent.py "artificial intelligence" --days=7
# Web3 → LinkedIn post in Spanish, professional tone
python scripts/trendingcontent.py "web3" --days=15 --platform=linkedin --lang=es
# Climate tech → viral Twitter thread
python scripts/trendingcontent.py "climate tech" --days=30 --platform=twitter --tone=viral
# Niche topic — only Reddit and YouTube (no HackerNews)
python scripts/trendingcontent.py "sourdough bread" --sources=reddit,youtube,brave
# Disable sources that don't fit your topic
python scripts/trendingcontent.py "fintech" --disable=hackernews,tiktok
# See all available sources
python scripts/trendingcontent.py --list-sources
# Research only, no content
python scripts/trendingcontent.py "LLMs" --days=14 --research-only
This repository follows the Hermes skill standard. To install as a skill:
# Copy to your Hermes skills directory
cp -r . /path/to/hermes-agent/skills/social-media/trendingcontent/
# Add API keys to your Hermes .env
echo "SCRAPECREATORS_API_KEY=your_key" >> ~/.hermes/.env
echo "BRAVE_API_KEY=your_key" >> ~/.hermes/.env
The agent will automatically discover the skill via SKILL.md
.
═══════════════════════════════════════════════
TRENDINGCONTENT — CONTENT GENERATION BRIEF
═══════════════════════════════════════════════
Topic: artificial intelligence
Period: Last 7 days
Language: English
Tone: Professional
Platforms: Twitter, LinkedIn, Instagram
───────────────────────────────────────────────
RESEARCH SUMMARY
───────────────────────────────────────────────
[ranked trending content with titles, scores, URLs]
───────────────────────────────────────────────
CONTENT INSTRUCTIONS
───────────────────────────────────────────────
[platform-specific format specs + tone guidance]
- Python 3.9+
yt-dlp
— YouTube transcript extractionrequests
— HTTP calls- ScrapeCreators API key (required)
- Brave Search API key (optional)
- Original research engine: last30days-skill by @mvanhorn — MIT License
- Social media generation layer & Hermes skill packaging: @gabogabucho
MIT License — see LICENSE for details.
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03-29 11:26 · 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.
▸ 展开全文
03-29 11:26 · 科技,GitHub
Real-time monitoring & analytics platform for Pump.fun tokens. Track launches, analyze trends, and get instant alerts — powered by WebSockets. Built with HTML, CSS & JavaScript.
Real-time monitoring & analytics platform for Pump.fun tokens on Solana.
🌐 Live site: pump-analyzer.com
PumpAnalyzer is a landing page for a token analytics platform built on top of Pump.fun. It lets traders track new token launches, analyze price movements and volume, and receive instant alerts — all in real time.
- ⚡ Real-Time Monitoring — Track every new token launch on Pump.fun as it happens
- 📊 Deep Analytics — Price charts, volume analysis, and holder distribution
- 🔔 Instant Alerts — Get notified the moment tokens hit your custom criteria
- 🤖 AI-Powered Insights — Smart detection of pump patterns and emerging trends
- 🔒 Secure & Non-Custodial — No wallet access required. Your keys, your crypto
- 🚀 Lightning Fast — Sub-second data updates powered by WebSockets
git clone https://github.com/keron-2000fz47/special-octo-parakeet.git
cd special-octo-parakeet
open index.html
No build tools or dependencies required — it's pure HTML/CSS/JS.
- 🌐 Website: pump-analyzer.com
- 🐦 Twitter: coming soon
Not financial advice. Always DYOR.
▸ 展开全文
03-29 00:01 · GitHub,开源,技术,AI,Go,技术
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 o
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.
▸ 展开全文
03-28 00:01 · GitHub,开源,技术,AI,技术
Automated AI news aggregation that feeds directly into your Obsidian vault. Stay current on the latest LLM research, trending repos, and breakthroughs — curated daily
Your morning briefing, hand-picked from the places that matter.
⭐ If this saves you time, give it a star. It helps others find it.
Researchers · ML engineers · Obsidian users · Anyone who wants to stay current without the morning rabbit hole
Latent Feed is a little tool that scours your favourite corners of the internet—papers, repos, threads, and discussions—then bundles the good stuff into one tidy digest. No more tab-hopping. Just set it up once, let it run daily, and wake up to a fresh batch of what’s worth reading.
You choose where it lands: your Obsidian vault, your inbox, or both.
Features: Run once a day · Clean digest by topic · Write to Obsidian or email
→ Examples — Email · Obsidian daily note
Click to expand — quick sample
## 🏢 Frontier Labs
**[Claude 4.5 Released](https://anthropic.com/...)** · anthropic
> New model with improved reasoning.
## 📄 Research
**[Transformers Are Bayesian Networks](https://arxiv.org/...)** · arxiv
> Connections between attention and probabilistic inference.
## 🔓 Open Source Repos
**[vLLM v0.6.0: Prefix Caching + LoRA](https://github.com/...)** · github
> 5x faster serving.
We pull from six places. Toggle any on or off in your config.
Add your own RSS feeds in config.yaml
under blogs.feeds
.
Items are auto-tagged into 10 categories. Edit processor/categorizer.py
to adjust keywords.
Latent Feed doesn’t fetch these, but they’re worth following:
YouTube — Andrej Karpathy, Stanford Online (CS25), Anthropic, Yannic Kilcher, DeepLearning.AI, Dwarkesh Patel
Courses — Karpathy: Zero to Hero, Stanford CS25: Transformers
pip install -r requirements.txt
cp config/config.example.yaml config/config.yaml
Open config/config.yaml
and at least set your vault path:
vault_path: "/path/to/your/obsidian-vault"
daily_notes_subfolder: "LatentFeed"
If you want short summaries for each item, set your API key:
export ANTHROPIC_API_KEY="your-api-key"
And in config.yaml
:
use_summarization: true
llm_provider: "claude"
Add this to config.yaml
:
email:
enabled: true
subscribers:
- "you@example.com"
smtp:
host: "smtp.gmail.com"
port: 587
from_addr: "your-bot@gmail.com"
subject: "Latent Feed — {date}"
Then set your SMTP credentials (prefer env vars):
export SMTP_USER="your-bot@gmail.com"
export SMTP_PASSWORD="your-app-password"
💡 Gmail users: use an App Password, not your usual login.
python main.py
Try it in 30 seconds — preview the digest with no config:
git clone https://github.com/<you>/latent-feed && cd latent-feed
pip install -r requirements.txt
python main.py --dry-run
Add a cron job so it runs at 8 AM:
crontab -e
# Add this line:
0 8 * * * cd /path/to/latent-feed && /path/to/python main.py
If your vault lives in a Git repo, you can run Latent Feed on a schedule:
-
Add these Secrets in your repo settings:
ANTHROPIC_API_KEY
(if you use summaries)VAULT_PATH
(path to your vault)SMTP_USER
,SMTP_PASSWORD
(if you use email)
-
If the vault is in another repo, clone it in the workflow first, then pass
VAULT_PATH
.
⚠️ Most local vaults can’t be reached from GitHub. For email-only, use--email-only
with your SMTP secrets.
These files are in .gitignore
and must never be committed to GitHub:
- Copy
config/config.example.yaml
toconfig/config.yaml
- Copy
.env.example
to.env
and fill in your real values - Never commit
config.yaml
or.env
— they hold private data
latent-feed/
├── main.py # Entry point
├── sources/ # News sources
├── processor/ # Filter, dedup, categorize, summarize
├── output/ # Markdown, Obsidian, email
├── models/ # Data models
├── config/ # Configuration
└── .github/workflows/ # GitHub Actions
- CONTRIBUTING.md — How to contribute
Found this useful? Star the repo, share it with a colleague, or post about it. Every bit helps.
MIT
▸ 展开全文
03-28 00:01 · GitHub,开源,技术,JavaScript,Java,前端,技术
Real-time monitoring & analytics platform for Pump.fun tokens. Track launches, analyze trends, and get instant alerts — powered by WebSockets. Built with HTML, CSS & JavaScript.
Real-time monitoring & analytics platform for Pump.fun tokens on Solana.
🌐 Live site: pump-analyzer.com
PumpAnalyzer is a landing page for a token analytics platform built on top of Pump.fun. It lets traders track new token launches, analyze price movements and volume, and receive instant alerts — all in real time.
- ⚡ Real-Time Monitoring — Track every new token launch on Pump.fun as it happens
- 📊 Deep Analytics — Price charts, volume analysis, and holder distribution
- 🔔 Instant Alerts — Get notified the moment tokens hit your custom criteria
- 🤖 AI-Powered Insights — Smart detection of pump patterns and emerging trends
- 🔒 Secure & Non-Custodial — No wallet access required. Your keys, your crypto
- 🚀 Lightning Fast — Sub-second data updates powered by WebSockets
git clone https://github.com/keron-2000fz47/special-octo-parakeet.git
cd special-octo-parakeet
open index.html
No build tools or dependencies required — it's pure HTML/CSS/JS.
- 🌐 Website: pump-analyzer.com
- 🐦 Twitter: coming soon
Not financial advice. Always DYOR.
▸ 展开全文