REPO·RANK #422·1/6 firing·Python
Rank#422Python
Cross-signal1.00 / 6.0
Single-channel signal so far. and X posts (59 / 24h). Reddit, Bluesky and Dev.to are still cold — typical for a niche project at this stage.
Cross-signal · 30D+0
GitHubQUIET+0 stars24h
HackerNewsQUIET0 posts7d
RedditQUIET0 posts7d
BlueskyQUIET0 posts7d
Dev.toQUIET0 posts7d
XFIRING59 posts24h
Stars12.1k+178 7d+0 today
Forks1.6k+0 7d13% fork ratio
Contribs3+0 30dsolo-led
Momentum17.93.2stars-velocity score
SurfaceTHIN1 / 6last commit 3d ago
Coverage2 / 13 sources fired (7d)
·59
Mentioned 59 times in the last 24 hours across tracked communities — social buzz outpacing GitHub stars.
// 01 · GITHUB MOMENTUM
17.9
0 stars 24h | +178 7d
// 02 · MENTIONS
10
0 in 24h | 1 source
// 03 · CROSS-SIGNAL
1.00
1/6 channels firing
// 04 · PACKAGE ADOPTION
-
no linked package yet
// 05 · PROJECT SURFACE
thin
last commit 3d ago
// 01
Breakdown
How is this scored?
- 6.0
- strong signal across ≥5 of 6 channels
- 5.0
- strong signal across ≥4 of 6 channels
- 4.0
- strong signal across ≥3 of 6 channels
- 3.0+
- active on 2+ channels
- <1.0
- low or no cross-channel activity
Each channel contributes 0-1. Per-channel tiers: GitHub (breakout 1.0 / hot 0.7 / rising 0.4), HN (front-page 1.0 / ≥3 mentions 0.7 / 1-2 mentions 0.4), Bluesky (≥5 mentions 1.0 / 2-4 0.7 / 1 0.4), dev.to (≥3 articles 1.0 / 2 0.7 / 1 0.4), Reddit (corpus-normalized 48h velocity), X (≥10 mentions 24h 1.0 / 3-9 0.7 / 1-2 0.4).
- GitHub momentum0.00
- Reddit0.00
- HackerNews0.00
- Bluesky0.00
- dev.to0.00
- X (Twitter)1.00
* Reddit bar shows a per-repo velocity proxy (raw score / 100); the score formula uses the corpus-normalized version so a single repo's bar may not match its contribution to the corpus-wide ranking.
// KNOWN REPO · PACKAGE · LAUNCH · SITE SURFACES
GitHubArindam200/awesome-ai-apps12.1k starsWebsitestudio1hq.comsite found; profile scan queued
Docspendingdocs scanner pending
npmnoneno linked npm package
ProductHuntnoneno launch linked
Paper/modelpendingHF/arXiv resolver not attached yet
// 02
Growth
Today
12.1k
+21 last 24h
7d
+284
2% wow
30d
+284
2% mom
Spike
+11.8k/d
6d ago · peak day
// 03
Mentions
// last scanreddit 14mhn 22mbluesky 29mdevto 4hph 38mnpm 13h
- X→ OPEN
A collection of awesome AI Apps you can create by cloning this repo.▶ Twitter4d ago - X→ OPEN
Crazy to imagine 🤯 Awesome AI Apps just doubled its GitHub stars in only 25 days! 🌟 Super thankful for all the love & support, this community is amazing 🙌▶ Twitter4d ago - X→ OPEN
Awesome AI Apps just crossed 1.6k stars Thanks, everyone, for supporting this. It now has 35+ AI Agents, including: - Starter agent templates - Complex agentic workflows - MCP-powered agents - RAG examples - Multiple Agentic frameworks All 100% free and open-source▶ Twitter4d ago - X→ OPEN
Awesome AI Apps crossed 1k Stars on GitHub! It now features 30+ open-source projects, including: - Starter agent templates - Complex agentic workflows - MCP-powered agents - RAG examples - Multiple Agentic frameworks All 100% free and open-source▶ Twitter4d ago - X→ OPEN
想动手写个 AI Agent，网上大部分只讲理论，即使有开源代码也运行不起来。 偶然在 GitHub 上看到 Awesome AI Apps 这份开源资源合集，汇集了 70+ 个实战项目和完整教程，从入门到进阶一应俱全。 项目按照难度和应用场景分类，涵盖基础智能体、简单应用、MCP 集成、记忆系统、RAG 应用和高级多智能体系统，还提供 AWS Strands 完整课程。 GitHub： github.com/Arindam200/awesom… 每个项目都包含完整代码和详细说明，支持 Agno、LangChain、CrewAI、PydanticAI 等主流框架，涵盖金融分析、内容生成、数据库查询、自动化等实际场景。 如果你想系统学习 AI 智能体开发，或者正在寻找某个具体场景的实现方案，这份合集值得收藏。▶ Twitter4d ago - X→ OPEN
Awesome AI Apps just crossed 8k GitHub stars 🌟 Thanks Everyone for Supporting this! The repo now has 80+ real agentic examples you can explore, run, and learn from. If you’re building or learning agents, it’s worth a look 👀▶ Twitter4d ago - X→ OPEN
2. Awesome AI Apps github.com/Arindam200/awesom… A collection of projects showcasing RAG, agents, workflows, and other AI use cases.▶ Twitter4d ago - X→ OPEN
如果你不知道该让你的Agent 去做些什么，可以看看大神们都用Agent做了些什么？ 1. awesome-ai-apps（强烈推荐！80+ LLM实战项目合集） 链接： github.com/Arindam200/awesom… 专门收集RAG、Agent、工作流等LLM应用的最全列表，分为Starter Agents、Voice Agents、MCP Agents、Memory Agents等板块，几乎每个项目都能直接运行 2. 500-AI-Agents-Projects（行业案例宝库） 链接： github.com/ashishpatel26/500… TIPS：按行业分类整理了500+个AI Agent真实用例，每个都链接开源实现项目。▶ Twitter4d ago - X→ OPEN
🚨 A free GitHub repo just became the best place to learn AI agent development in 2026. 70+ working projects. Every framework. Every pattern. All copy-paste ready. It's called Awesome AI Apps and it covers everything from a 3-line weather bot all the way to multi-agent pipelines running autonomous financial research. The structure is what makes it different from every other "awesome list" out there. These aren't just links to other repos. Each project inside is a self-contained, runnable example with its own README, environment setup, and code you can clone and run today. → 13 starter agents across frameworks so you can pick the one that fits your stack → 12 MCP integration examples including a hotel finder, a GitHub analyzer, and a Docker sandbox agent → 12 memory agents that retain context across sessions for tasks like job searching, social media, and brand monitoring → 11 RAG applications including one that uses GPT-5 for agentic retrieval → 14 advanced agents including a car finder, a smart GTM planner, and a conference talk generator Plus a full 8-lesson AWS Strands course baked directly into the repo with video playlists linked. github.com/Arindam200/awesom… 9.2K stars. 1.2K forks. MIT License. 100% Opensource.▶ Twitter4d ago - X→ OPEN
如果你已经在考虑动手做 AI Agent，awesome-ai-apps 这个仓库值得早点看。 收了 80+ 个可以直接跑的 AI Agent 项目，按复杂度分成 7 个方向： 1、Starter Agents：LangChain、CrewAI、AutoGen、AWS Strands 等主流框架的最小示例，适合横向对比框架写法 ； 2、 Simple Agents：金融、日历、邮件、浏览器自动化，有场景、有代码、能改 ； 3、Voice Agents：基于 LiveKit + Gemini 的实时语音流水线，做语音产品的直接参考 ； 4、MCP Agents：用 Model Context Protocol 接外部工具的标准做法； 5、 Memory Agents：带持久化记忆的 Agent，记住用户偏好和历史上下文； 6、 RAG Apps：文档问答、简历优化、多 PDF 分析 7、Advanced Agents：尽职调查 Bot、AI 对冲基金分析、价格监控——企业场景 Demo 直接可用 这类仓库的价值不在于"又多了个案例库"，而在于它替你把结构组织好了。你不需要从零设计工程框架，找最接近自己需求的项目，拿过来改就行。 学框架选型的，把 Starter 系列挨个跑一遍，30 分钟建立直觉。 要做垂直 SaaS 的，Advanced Agents 里随便一个拿去改改，就是 Demo。▶ Twitter4d ago
// 04
Context
Building @Studio1HQ
- India
- https://www.arindammajumder.com/
- @Arindam_1729
- 85 public repos
- 847 followers
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// 05Deep dive
// STARS12.1k+178/ 7dJust updated
// FORKS1.6k—/ 7dJust updated
// CONTRIBUTORS3—/ 30dJust updated
Open Issues39
Last Commit3d ago
Latest Release—
// TREND24h07d+17830d0
X
Ranked confirmation layer for repo-specific X buzz in the last 24h.
Mentions 24h
59
Authors 24h
34
Engagement
3.2k
Peak hour
09:15
Score
100.0
Meaningful X activity confirmed. 59 matched posts across 34 authors.
Top matched posts
- @yaoyaogm1.8k eng
如果你不知道该让你的Agent 去做些什么，可以看看大神们都用Agent做了些什么？ 1. awesome-ai-apps（强烈推荐！80+ LLM实战项目合集） 链接： github.com/Arindam200/awesom… 专门收集RAG、Agent、工作流等LLM应用的最全列表，分为Starter Agents、Voice Agents、MCP Agents、Memory Agents等板块，几乎每个项目都能直接运行 2. 500-AI-Agents-Projects（行业案例宝库） 链接： github.com/ashishpatel26/500… TIPS：按行业分类整理了500+个AI Agent真实用例，每个都链接开源实现项目。
mediumphrase4d agoopenMatched through a repo-specific project phrase query.
- @hasantoxr383 eng
🚨 A free GitHub repo just became the best place to learn AI agent development in 2026. 70+ working projects. Every framework. Every pattern. All copy-paste ready. It's called Awesome AI Apps and it covers everything from a 3-line weather bot all the way to multi-agent pipelines running autonomous financial research. The structure is what makes it different from every other "awesome list" out there. These aren't just links to other repos. Each project inside is a self-contained, runnable example with its own README, environment setup, and code you can clone and run today. → 13 starter agents across frameworks so you can pick the one that fits your stack → 12 MCP integration examples including a hotel finder, a GitHub analyzer, and a Docker sandbox agent → 12 memory agents that retain context across sessions for tasks like job searching, social media, and brand monitoring → 11 RAG applications including one that uses GPT-5 for agentic retrieval → 14 advanced agents including a car finder, a smart GTM planner, and a conference talk generator Plus a full 8-lesson AWS Strands course baked directly into the repo with video playlists linked. github.com/Arindam200/awesom… 9.2K stars. 1.2K forks. MIT License. 100% Opensource.
mediumphrase4d agoopenMatched through a repo-specific project phrase query.
- @GitHub_Daily339 eng
想动手写个 AI Agent，网上大部分只讲理论，即使有开源代码也运行不起来。 偶然在 GitHub 上看到 Awesome AI Apps 这份开源资源合集，汇集了 70+ 个实战项目和完整教程，从入门到进阶一应俱全。 项目按照难度和应用场景分类，涵盖基础智能体、简单应用、MCP 集成、记忆系统、RAG 应用和高级多智能体系统，还提供 AWS Strands 完整课程。 GitHub： github.com/Arindam200/awesom… 每个项目都包含完整代码和详细说明，支持 Agno、LangChain、CrewAI、PydanticAI 等主流框架，涵盖金融分析、内容生成、数据库查询、自动化等实际场景。 如果你想系统学习 AI 智能体开发，或者正在寻找某个具体场景的实现方案，这份合集值得收藏。
mediumphrase4d agoopenMatched through a repo-specific project phrase query.
- @yhslgg166 eng
如果你已经在考虑动手做 AI Agent，awesome-ai-apps 这个仓库值得早点看。 收了 80+ 个可以直接跑的 AI Agent 项目，按复杂度分成 7 个方向： 1、Starter Agents：LangChain、CrewAI、AutoGen、AWS Strands 等主流框架的最小示例，适合横向对比框架写法 ； 2、 Simple Agents：金融、日历、邮件、浏览器自动化，有场景、有代码、能改 ； 3、Voice Agents：基于 LiveKit + Gemini 的实时语音流水线，做语音产品的直接参考 ； 4、MCP Agents：用 Model Context Protocol 接外部工具的标准做法； 5、 Memory Agents：带持久化记忆的 Agent，记住用户偏好和历史上下文； 6、 RAG Apps：文档问答、简历优化、多 PDF 分析 7、Advanced Agents：尽职调查 Bot、AI 对冲基金分析、价格监控——企业场景 Demo 直接可用 这类仓库的价值不在于"又多了个案例库"，而在于它替你把结构组织好了。你不需要从零设计工程框架，找最接近自己需求的项目，拿过来改就行。 学框架选型的，把 Starter 系列挨个跑一遍，30 分钟建立直觉。 要做垂直 SaaS 的，Advanced Agents 里随便一个拿去改改，就是 Demo。
mediumphrase4d agoopenMatched through a repo-specific project phrase query.
- @Arindam_172997 eng
Awesome AI Apps just crossed 8k GitHub stars 🌟 Thanks Everyone for Supporting this! The repo now has 80+ real agentic examples you can explore, run, and learn from. If you’re building or learning agents, it’s worth a look 👀
mediumphrase4d agoopenMatched through a repo-specific project phrase query.
- @ghumare6483 eng
A collection of awesome AI Apps you can create by cloning this repo.
mediumphrase4d agoopenMatched through a repo-specific project phrase query.
- @Arindam_172938 eng
Crazy to imagine 🤯 Awesome AI Apps just doubled its GitHub stars in only 25 days! 🌟 Super thankful for all the love & support, this community is amazing 🙌
mediumphrase4d agoopenMatched through a repo-specific project phrase query.
- @Prathkum29 eng
2. Awesome AI Apps github.com/Arindam200/awesom… A collection of projects showcasing RAG, agents, workflows, and other AI use cases.
mediumphrase4d agoopenMatched through a repo-specific project phrase query.
- @Arindam_172925 eng
Awesome AI Apps just crossed 1.6k stars Thanks, everyone, for supporting this. It now has 35+ AI Agents, including: - Starter agent templates - Complex agentic workflows - MCP-powered agents - RAG examples - Multiple Agentic frameworks All 100% free and open-source
mediumphrase4d agoopenMatched through a repo-specific project phrase query.
- @Arindam_172921 eng
Awesome AI Apps crossed 1k Stars on GitHub! It now features 30+ open-source projects, including: - Starter agent templates - Complex agentic workflows - MCP-powered agents - RAG examples - Multiple Agentic frameworks All 100% free and open-source
mediumphrase4d agoopenMatched through a repo-specific project phrase query.