[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @akshay_pachaar Akshay 🚀 Akshay 🚀 posts on X about mcp, build a, protocol, llm the most. They currently have XXXXXXX followers and XX posts still getting attention that total XXXXXXX engagements in the last XX hours. ### Engagements: XXXXXXX [#](/creator/twitter::703601972/interactions)  - X Week XXXXXXXXX +41% - X Month XXXXXXXXX +45% - X Months XXXXXXXXXX +70% - X Year XXXXXXXXXX -XXXX% ### Mentions: XX [#](/creator/twitter::703601972/posts_active)  - X Months XXX +39% - X Year XXX -XXXX% ### Followers: XXXXXXX [#](/creator/twitter::703601972/followers)  - X Week XXXXXXX +0.48% - X Month XXXXXXX +1.90% - X Months XXXXXXX +23% - X Year XXXXXXX +45% ### CreatorRank: XXXXXXX [#](/creator/twitter::703601972/influencer_rank)  ### Social Influence [#](/creator/twitter::703601972/influence) --- **Social category influence** [technology brands](/list/technology-brands) XXXX% [stocks](/list/stocks) XXX% [social networks](/list/social-networks) XXXX% **Social topic influence** [mcp](/topic/mcp) #5, [build a](/topic/build-a) #122, [protocol](/topic/protocol) #723, [llm](/topic/llm) 3.8%, [realworld](/topic/realworld) #131, [microsoft](/topic/microsoft) #459, [ollama](/topic/ollama) 2.53%, [ui](/topic/ui) 2.53%, [networks](/topic/networks) #49, [neural](/topic/neural) #15 **Top accounts mentioned or mentioned by** [@avichawla](/creator/undefined) [@crewaiinc](/creator/undefined) [@zepai](/creator/undefined) [@cometml](/creator/undefined) [@robin_chps](/creator/undefined) [@akshaypachaar](/creator/undefined) [@ggerganov](/creator/undefined) [@motiadev](/creator/undefined) [@firecrawldev](/creator/undefined) [@ollama](/creator/undefined) [@eyelevelais](/creator/undefined) [@browserbasehqs](/creator/undefined) [@firecrawldevs](/creator/undefined) [@robinchps](/creator/undefined) [@_ayush_gautam_](/creator/undefined) [@aaliya_va](/creator/undefined) [@autoppiaai](/creator/undefined) [@_avichawla](/creator/undefined) [@ashu00923](/creator/undefined) [@rasraim](/creator/undefined) **Top assets mentioned** [Microsoft Corp. (MSFT)](/topic/microsoft) ### Top Social Posts [#](/creator/twitter::703601972/posts) --- Top posts by engagements in the last XX hours "Model Context Protocol (MCP) clearly explained:"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1933503158225154514) 2025-06-13 12:34:10 UTC 214.4K followers, 1.1M engagements "Step 4: Scheduling After the content is generated we draft it in Typefully where we can easily review our social media posts. Motia also allows us to mix and match different languages within the same workflow providing great flexibility. Check this typescript code 👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945469083228766497) 2025-07-16 13:02:29 UTC 214.2K followers, 1022 engagements "If you found it insightful reshare with your network. Find me @akshay_pachaar ✔ For more insights and tutorials on LLMs AI Agents and Machine Learning"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945469325592396111) 2025-07-16 13:03:26 UTC 214.4K followers, 4376 engagements "Let's build a multi-agent content creation system (100% local):"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945469037888307275) 2025-07-16 13:02:18 UTC 214.4K followers, 114.7K engagements "KV caching is a technique used to speed up LLM inference. Before understanding the internal details look at the inference speed difference in the video: - with KV caching X seconds - without KV caching XX seconds (5x slower) Let's dive in"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1928074705757687954) 2025-05-29 13:03:26 UTC 214.2K followers, 18.7K engagements "Before we dive in here's a quick demo of what we're building Tech stack: - @motiadev as the unified backend framework - @firecrawl_dev to scrape web content - @ollama to locally serve Deepseek-R1 LLM The only AI framework you'll ever need to learn 🚀"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945469043118596230) 2025-07-16 13:02:19 UTC 214.4K followers, 3621 engagements "@crewAIInc @zep_ai @Cometml Here's an overview of the system we're building - User sends a query - Assistant runs web search via MCP - Query + results go to Memory Manager - Memory Manager stores context in Graphiti - Response agent crafts the final answer"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1944012285334499767) 2025-07-12 12:33:41 UTC 214.2K followers, 5008 engagements "@_avichawla Great application of multi-agent systems Thanks for sharing Avi 🙌"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945009420091453919) 2025-07-15 06:35:56 UTC 214.2K followers, 3753 engagements "7 MCP projects for AI Engineers: (with video tutorials)"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1941035551353983241) 2025-07-04 07:25:12 UTC 214.3K followers, 146.5K engagements "A fantastic visually stunning intro to deep learning. This free book covers: - Maths for ML - Datasets & Losses - Linear Models - Fully Connected Models - CNNs for Images & Beyond - Transformers & LLMs - Graph Models Highly recommended"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1941470937666420837) 2025-07-05 12:15:16 UTC 214.2K followers, 39K engagements "Let's build an MCP-powered financial analyst (100% local):"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1927372063259377984) 2025-05-27 14:31:23 UTC 214.4K followers, 563.5K engagements "10 MCP AI Agents and RAG projects for AI Engineers (with code):"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1946191249947701699) 2025-07-18 12:52:07 UTC 214.4K followers, 200.3K engagements "Drag-and-drop UI to build AI agent workflows Sim Studio is a lightweight user-friendly platform that makes creating AI agent workflows accessible to everyone. Supports all major LLMs MCP servers vectorDBs etc. XXX% open-source"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1941837439607373829) 2025-07-06 12:31:37 UTC 214.4K followers, 91.4K engagements "Step 3: Content generation The scraped content gets fed to the X and LinkedIn agents that run in parallel and generate curated posts. We define all our prompting and AI logic in the handler that runs automatically when a step is triggered. Check this out 👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945469076278800434) 2025-07-16 13:02:27 UTC 214.3K followers, 1178 engagements "🔟 AI Engineering Hub To truly master LLMs RAG and AI agents you need projects. AI Engineering Hub covers 70+ real-world examples tutorials and agent applications you can actually build adapt and ship. Check this 👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945824039760773276) 2025-07-17 12:32:57 UTC 214.4K followers, 2165 engagements "10 GitHub repos to build a career in AI engineering. It covers: - Basics of AI/ML - Neural networks - Research paper implementations - MLOps - LLMs/RAG/Agents etc. Check the XXX% free roadmap in the thread below:"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1946111833729065000) 2025-07-18 07:36:32 UTC 214.4K followers, 60.2K engagements "A Python decorator is all you need to deploy AI apps Beam is an open-source alternative to Modal for deploying serverless AI workloads. Simply pip install beam add a decorator and turn any function into a serverless endpoint XXX% open-source"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1942564828071301413) 2025-07-08 12:42:00 UTC 214.1K followers, 39K engagements "Agent2Agent Protocol clearly explained (with code example):"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1941112259482362058) 2025-07-04 12:30:01 UTC 214.2K followers, 181.4K engagements "Temperature in LLMs clearly explained (with code):"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1942201076767412307) 2025-07-07 12:36:35 UTC 214.4K followers, 263.5K engagements "10 GitHub repos that will set you up for a career in AI engineering (100% free):"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945823871757938899) 2025-07-17 12:32:17 UTC 214.4K followers, 241.5K engagements "2 AI for Beginners by Microsoft This repo covers neural networks NLP CV transformers ethics & more. There are hands-on labs in PyTorch & TensorFlow using jupyter notebooks. Beginner-friendly project-based and full of real-world applications. Check this 👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945823912862117934) 2025-07-17 12:32:27 UTC 214.4K followers, 6414 engagements "MCP is on fire. AI agents can now talk to real world tools apps and actually get stuff done. This changes everything. Here are XX amazing examples:"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1943648661826937032) 2025-07-11 12:28:46 UTC 214.4K followers, 270.4K engagements "MCP is on fire. AI agents can now talk to real world tools apps and actually get stuff done. This changes everything. Here are XX amazing examples:"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1910671710300627006) 2025-04-11 12:30:08 UTC 214.4K followers, 717.5K engagements "Let's build an MCP server that connects to 200+ data sources (100% local):"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1928452823060005137) 2025-05-30 14:05:56 UTC 214.4K followers, 412.8K engagements "7 Advanced RAG Techniques Hands-on LLMs will give you a good grasp of RAG systems. Now learn advanced RAG techniques. This repo covers 30+ methods to make RAG systems faster smarter and more accurate like HyDE GraphRAG Vision RAG etc. Check this 👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945823992427979219) 2025-07-17 12:32:46 UTC 214.4K followers, 2892 engagements "AI Engineering Hub just crossed 10k GitHub stars Its XXX% open-source and hosts 70+ free hands-on demos. Here are XX MCP RAG and AI Agents projects for AI engineers:"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1936038978165366890) 2025-06-20 12:30:36 UTC 214.4K followers, 287.2K engagements "I have tested 100+ MCP servers in the last X months Here are X must-use MCP servers for all developers (open-source):"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1938954677414179114) 2025-06-28 13:36:33 UTC 214.4K followers, 538.1K engagements "1 MCP meets Ollama In this video you'll learn how build a XXX% local MCP client that you can connect to any MCP server. XXX% open-source code step-by-step guide:"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1946191261695898062) 2025-07-18 12:52:09 UTC 214.4K followers, 6867 engagements "1 WhatsApp MCP Exchange images videos and voice notes on WhatsApp Pair it with the ElevenLabs MCP server for AI-powered transcription & audio messages with 3000+ voices. Check this out👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1943648674204299704) 2025-07-11 12:28:49 UTC 214.4K followers, 7641 engagements "1 ML for Beginners by Microsoft A 12-week project-based curriculum that teaches classical ML using real-world datasets using Scikit-learn. Includes quizzes R/Python lessons and hands-on projects. Some of the lessons are available as short-form videos. Check this👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945823895636115943) 2025-07-17 12:32:23 UTC 214.4K followers, 7350 engagements "To understand KV caching we must know how LLMs output tokens. - Transformer produces hidden states for all tokens. - Hidden states are projected to vocab space. - Logits of the last token is used to generate the next token. - Repeat for subsequent tokens. Check this👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1928074728063021378) 2025-05-29 13:03:31 UTC 214.4K followers, 16.6K engagements "This project is built using Motia Motia is a unified system where APIs background jobs events and agents are just plug-and-play steps. XXX% open-source Check this out👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945469097808183741) 2025-07-16 13:02:32 UTC 214.2K followers, XXX engagements "A Crash Course on Building AI Agents Here's what it covers: - What is an AI agent - Connecting agents to tools - Overview of MCP - Replacing tools with MCP servers - Setting up observability and tracing All with XXX% open-source tools"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1944011860086235540) 2025-07-12 12:32:00 UTC 214.4K followers, 111.3K engagements "Containerized versions of 450+ MCP servers MCP Containers bundles hundreds of Model Context Protocol servers into ready-to-run Docker imagesno setup headaches no version drift. XXX% open-source and secure"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1944377079270912083) 2025-07-13 12:43:15 UTC 214.4K followers, 91.3K engagements "8 Supabase MCP Supabase MCP Server allows you to read and write to your database create new projects and more right from your favorite AI tools Check this out👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1943648758560084266) 2025-07-11 12:29:09 UTC 214.2K followers, 3409 engagements "ML researchers just built a new ensemble technique. It even outperforms XGBoost CatBoost and LightGBM. Here's a complete breakdown (explained visually):"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1944737240326041780) 2025-07-14 12:34:24 UTC 214.4K followers, 397.7K engagements "A RAG engine for deep document understanding RAGFlow lets you build enterprise-grade RAG workflows on complex docs with well-founded citations. Supports multimodal data understanding web search deep research etc. XXX% local & open-source with 55k+ stars"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1937415198366925248) 2025-06-24 07:39:13 UTC 214.4K followers, 83.6K engagements "4 MCP powered Agentic RAG In this project you'll learn how to build your own MCP server It connects to Cursor & performs deep web searches as well as RAG over a specified directory. XXX% open-source code with a step-by-step guide:"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1946191320382587055) 2025-07-18 12:52:23 UTC 214.4K followers, 3946 engagements "The only AI framework you'll ever need to learn In this video we create an agentic workflow for writing and publishing content using Motiaa unified system where APIs background jobs events and agents are just plug-and-play steps. XXX% open-source"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945749124424569243) 2025-07-17 07:35:16 UTC 214.4K followers, 19.5K engagements "Finally A Text-to-SQL tool that actually works Vanna is an open-source RAG framework for complex Text-to-SQL generation. It manages dynamic data and allows custom RAG model training for greater accuracy. XXX% open-source"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945099237307605268) 2025-07-15 12:32:51 UTC 214.4K followers, 98.2K engagements "Links: - ML for Beginners: - AI for Beginners: - NN Zero to Hero: - Paper implementations: - Made with ML: - Hands-on LLMs: - Advanced RAG techniques: - Agents for Beginners: - Agents towards production: - AI Engg. Hub: Note: This roadmap moves toward LLMs NLP and AI agents after Made With ML but dont overlook CV and RL. They're equally powerful paths for AI engineers to explore"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945824055908876762) 2025-07-17 12:33:01 UTC 214.4K followers, 5425 engagements "In case you missed it💫 I published a crash course on building AI Agents In XX minutes you'll learn: - What is an AI agent - Connecting agents to tools - Replacing tools with MCP servers - Adding custom memory to Agents The video it attached below.👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1944302755411280095) 2025-07-13 07:47:54 UTC 214.3K followers, 39.3K engagements "7 MCP projects for AI Engineers (with video tutorials):"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1940758114099478896) 2025-07-03 13:02:46 UTC 214.4K followers, 326.4K engagements "5 Build your own reasoning LLM In this project you'll learn how to build your own reasoning LLMs like DeeSeek-R1 using Reinforcement finetuning. Step-by-step guide with code:"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1946191332550271213) 2025-07-18 12:52:26 UTC 214.4K followers, 3247 engagements "Turn messy PDFs into clean LLM-ready data Dolphin revolutionizes document image parsing with its analyze-then-parse approach making complex documents accessible to AI applications. Handles text tables formulas & figures. XXX% open-source lightning-fast solution"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1942929389718831219) 2025-07-09 12:50:39 UTC 214.4K followers, 120.2K engagements "100% open-source tech stack: - @crewAIInc for building MCP ready agents - @zep_ai Graphiti to add human like memory - @Cometml Opik for observability and tracing. You can find the entire code here:"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1944012133240648034) 2025-07-12 12:33:05 UTC 214.1K followers, 1898 engagements "9 Agents Towards Production The above beginner course taught you what AI agents are. Now it's time to learn how to ship them. This is a practical playbook for building GenAI agents covering memory orchestration deployment security & more. Check this 👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945824024229298442) 2025-07-17 12:32:53 UTC 214.4K followers, 2350 engagements "Knowledge graphs are insanely good at giving agents human-like memory Today we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor Claude Desktop etc. It's built using a real-time knowledge graph. XXX% open-source and self-hosted"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1931705704563261864) 2025-06-08 13:31:43 UTC 214.4K followers, 157.7K engagements "Motia workbench provides an interactive UI to help build monitor and debug our flows. With one-click you can also deploy it to cloud 🚀 Check this out 👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945469094586896871) 2025-07-16 13:02:31 UTC 214.2K followers, XXX engagements "@robin_chps It's more generic you can use those frameworks within Motia steps"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945771733002453384) 2025-07-17 09:05:06 UTC 214.4K followers, XX engagements "I decided to put together all my MCP posts in a single PDF. It covers: - The fundamentals of MCP - Explanations with visuals and code - XX hands-on projects for AI engineers Download link in next tweet"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1938582729282744344) 2025-06-27 12:58:34 UTC 214.4K followers, 212K engagements "8 AI Agents for Beginners by Microsoft After diving into LLMs and mastering RAG learn how to build AI agents. This is a hands-on course that teaches you how to build autonomous AI agents using real frameworks like Semantic Kernel AutoGen and MCP. Check this👇"  [@akshay_pachaar](/creator/x/akshay_pachaar) on [X](/post/tweet/1945824008563482796) 2025-07-17 12:32:49 UTC 214.4K followers, 2519 engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
@akshay_pachaar Akshay 🚀
Akshay 🚀 posts on X about mcp, build a, protocol, llm the most. They currently have XXXXXXX followers and XX posts still getting attention that total XXXXXXX engagements in the last XX hours.
Engagements: XXXXXXX #
- X Week XXXXXXXXX +41%
- X Month XXXXXXXXX +45%
- X Months XXXXXXXXXX +70%
- X Year XXXXXXXXXX -XXXX%
Mentions: XX #
- X Months XXX +39%
- X Year XXX -XXXX%
Followers: XXXXXXX #
- X Week XXXXXXX +0.48%
- X Month XXXXXXX +1.90%
- X Months XXXXXXX +23%
- X Year XXXXXXX +45%
CreatorRank: XXXXXXX #
Social Influence #
Social category influence technology brands XXXX% stocks XXX% social networks XXXX%
Social topic influence mcp #5, build a #122, protocol #723, llm 3.8%, realworld #131, microsoft #459, ollama 2.53%, ui 2.53%, networks #49, neural #15
Top accounts mentioned or mentioned by @avichawla @crewaiinc @zepai @cometml @robin_chps @akshaypachaar @ggerganov @motiadev @firecrawldev @ollama @eyelevelais @browserbasehqs @firecrawldevs @robinchps @ayush_gautam @aaliya_va @autoppiaai @_avichawla @ashu00923 @rasraim
Top assets mentioned Microsoft Corp. (MSFT)
Top Social Posts #
Top posts by engagements in the last XX hours
"Model Context Protocol (MCP) clearly explained:"
@akshay_pachaar on X 2025-06-13 12:34:10 UTC 214.4K followers, 1.1M engagements
"Step 4: Scheduling After the content is generated we draft it in Typefully where we can easily review our social media posts. Motia also allows us to mix and match different languages within the same workflow providing great flexibility. Check this typescript code 👇" @akshay_pachaar on X 2025-07-16 13:02:29 UTC 214.2K followers, 1022 engagements
"If you found it insightful reshare with your network. Find me @akshay_pachaar ✔ For more insights and tutorials on LLMs AI Agents and Machine Learning" @akshay_pachaar on X 2025-07-16 13:03:26 UTC 214.4K followers, 4376 engagements
"Let's build a multi-agent content creation system (100% local):" @akshay_pachaar on X 2025-07-16 13:02:18 UTC 214.4K followers, 114.7K engagements
"KV caching is a technique used to speed up LLM inference. Before understanding the internal details look at the inference speed difference in the video: - with KV caching X seconds - without KV caching XX seconds (5x slower) Let's dive in" @akshay_pachaar on X 2025-05-29 13:03:26 UTC 214.2K followers, 18.7K engagements
"Before we dive in here's a quick demo of what we're building Tech stack: - @motiadev as the unified backend framework - @firecrawl_dev to scrape web content - @ollama to locally serve Deepseek-R1 LLM The only AI framework you'll ever need to learn 🚀" @akshay_pachaar on X 2025-07-16 13:02:19 UTC 214.4K followers, 3621 engagements
"@crewAIInc @zep_ai @Cometml Here's an overview of the system we're building - User sends a query - Assistant runs web search via MCP - Query + results go to Memory Manager - Memory Manager stores context in Graphiti - Response agent crafts the final answer" @akshay_pachaar on X 2025-07-12 12:33:41 UTC 214.2K followers, 5008 engagements
"@_avichawla Great application of multi-agent systems Thanks for sharing Avi 🙌" @akshay_pachaar on X 2025-07-15 06:35:56 UTC 214.2K followers, 3753 engagements
"7 MCP projects for AI Engineers: (with video tutorials)" @akshay_pachaar on X 2025-07-04 07:25:12 UTC 214.3K followers, 146.5K engagements
"A fantastic visually stunning intro to deep learning. This free book covers: - Maths for ML - Datasets & Losses - Linear Models - Fully Connected Models - CNNs for Images & Beyond - Transformers & LLMs - Graph Models Highly recommended" @akshay_pachaar on X 2025-07-05 12:15:16 UTC 214.2K followers, 39K engagements
"Let's build an MCP-powered financial analyst (100% local):" @akshay_pachaar on X 2025-05-27 14:31:23 UTC 214.4K followers, 563.5K engagements
"10 MCP AI Agents and RAG projects for AI Engineers (with code):" @akshay_pachaar on X 2025-07-18 12:52:07 UTC 214.4K followers, 200.3K engagements
"Drag-and-drop UI to build AI agent workflows Sim Studio is a lightweight user-friendly platform that makes creating AI agent workflows accessible to everyone. Supports all major LLMs MCP servers vectorDBs etc. XXX% open-source" @akshay_pachaar on X 2025-07-06 12:31:37 UTC 214.4K followers, 91.4K engagements
"Step 3: Content generation The scraped content gets fed to the X and LinkedIn agents that run in parallel and generate curated posts. We define all our prompting and AI logic in the handler that runs automatically when a step is triggered. Check this out 👇" @akshay_pachaar on X 2025-07-16 13:02:27 UTC 214.3K followers, 1178 engagements
"🔟 AI Engineering Hub To truly master LLMs RAG and AI agents you need projects. AI Engineering Hub covers 70+ real-world examples tutorials and agent applications you can actually build adapt and ship. Check this 👇" @akshay_pachaar on X 2025-07-17 12:32:57 UTC 214.4K followers, 2165 engagements
"10 GitHub repos to build a career in AI engineering. It covers: - Basics of AI/ML - Neural networks - Research paper implementations - MLOps - LLMs/RAG/Agents etc. Check the XXX% free roadmap in the thread below:" @akshay_pachaar on X 2025-07-18 07:36:32 UTC 214.4K followers, 60.2K engagements
"A Python decorator is all you need to deploy AI apps Beam is an open-source alternative to Modal for deploying serverless AI workloads. Simply pip install beam add a decorator and turn any function into a serverless endpoint XXX% open-source" @akshay_pachaar on X 2025-07-08 12:42:00 UTC 214.1K followers, 39K engagements
"Agent2Agent Protocol clearly explained (with code example):" @akshay_pachaar on X 2025-07-04 12:30:01 UTC 214.2K followers, 181.4K engagements
"Temperature in LLMs clearly explained (with code):" @akshay_pachaar on X 2025-07-07 12:36:35 UTC 214.4K followers, 263.5K engagements
"10 GitHub repos that will set you up for a career in AI engineering (100% free):" @akshay_pachaar on X 2025-07-17 12:32:17 UTC 214.4K followers, 241.5K engagements
"2 AI for Beginners by Microsoft This repo covers neural networks NLP CV transformers ethics & more. There are hands-on labs in PyTorch & TensorFlow using jupyter notebooks. Beginner-friendly project-based and full of real-world applications. Check this 👇" @akshay_pachaar on X 2025-07-17 12:32:27 UTC 214.4K followers, 6414 engagements
"MCP is on fire. AI agents can now talk to real world tools apps and actually get stuff done. This changes everything. Here are XX amazing examples:" @akshay_pachaar on X 2025-07-11 12:28:46 UTC 214.4K followers, 270.4K engagements
"MCP is on fire. AI agents can now talk to real world tools apps and actually get stuff done. This changes everything. Here are XX amazing examples:" @akshay_pachaar on X 2025-04-11 12:30:08 UTC 214.4K followers, 717.5K engagements
"Let's build an MCP server that connects to 200+ data sources (100% local):" @akshay_pachaar on X 2025-05-30 14:05:56 UTC 214.4K followers, 412.8K engagements
"7 Advanced RAG Techniques Hands-on LLMs will give you a good grasp of RAG systems. Now learn advanced RAG techniques. This repo covers 30+ methods to make RAG systems faster smarter and more accurate like HyDE GraphRAG Vision RAG etc. Check this 👇" @akshay_pachaar on X 2025-07-17 12:32:46 UTC 214.4K followers, 2892 engagements
"AI Engineering Hub just crossed 10k GitHub stars Its XXX% open-source and hosts 70+ free hands-on demos. Here are XX MCP RAG and AI Agents projects for AI engineers:" @akshay_pachaar on X 2025-06-20 12:30:36 UTC 214.4K followers, 287.2K engagements
"I have tested 100+ MCP servers in the last X months Here are X must-use MCP servers for all developers (open-source):" @akshay_pachaar on X 2025-06-28 13:36:33 UTC 214.4K followers, 538.1K engagements
"1 MCP meets Ollama In this video you'll learn how build a XXX% local MCP client that you can connect to any MCP server. XXX% open-source code step-by-step guide:" @akshay_pachaar on X 2025-07-18 12:52:09 UTC 214.4K followers, 6867 engagements
"1 WhatsApp MCP Exchange images videos and voice notes on WhatsApp Pair it with the ElevenLabs MCP server for AI-powered transcription & audio messages with 3000+ voices. Check this out👇" @akshay_pachaar on X 2025-07-11 12:28:49 UTC 214.4K followers, 7641 engagements
"1 ML for Beginners by Microsoft A 12-week project-based curriculum that teaches classical ML using real-world datasets using Scikit-learn. Includes quizzes R/Python lessons and hands-on projects. Some of the lessons are available as short-form videos. Check this👇" @akshay_pachaar on X 2025-07-17 12:32:23 UTC 214.4K followers, 7350 engagements
"To understand KV caching we must know how LLMs output tokens. - Transformer produces hidden states for all tokens. - Hidden states are projected to vocab space. - Logits of the last token is used to generate the next token. - Repeat for subsequent tokens. Check this👇" @akshay_pachaar on X 2025-05-29 13:03:31 UTC 214.4K followers, 16.6K engagements
"This project is built using Motia Motia is a unified system where APIs background jobs events and agents are just plug-and-play steps. XXX% open-source Check this out👇" @akshay_pachaar on X 2025-07-16 13:02:32 UTC 214.2K followers, XXX engagements
"A Crash Course on Building AI Agents Here's what it covers: - What is an AI agent - Connecting agents to tools - Overview of MCP - Replacing tools with MCP servers - Setting up observability and tracing All with XXX% open-source tools" @akshay_pachaar on X 2025-07-12 12:32:00 UTC 214.4K followers, 111.3K engagements
"Containerized versions of 450+ MCP servers MCP Containers bundles hundreds of Model Context Protocol servers into ready-to-run Docker imagesno setup headaches no version drift. XXX% open-source and secure" @akshay_pachaar on X 2025-07-13 12:43:15 UTC 214.4K followers, 91.3K engagements
"8 Supabase MCP Supabase MCP Server allows you to read and write to your database create new projects and more right from your favorite AI tools Check this out👇" @akshay_pachaar on X 2025-07-11 12:29:09 UTC 214.2K followers, 3409 engagements
"ML researchers just built a new ensemble technique. It even outperforms XGBoost CatBoost and LightGBM. Here's a complete breakdown (explained visually):" @akshay_pachaar on X 2025-07-14 12:34:24 UTC 214.4K followers, 397.7K engagements
"A RAG engine for deep document understanding RAGFlow lets you build enterprise-grade RAG workflows on complex docs with well-founded citations. Supports multimodal data understanding web search deep research etc. XXX% local & open-source with 55k+ stars" @akshay_pachaar on X 2025-06-24 07:39:13 UTC 214.4K followers, 83.6K engagements
"4 MCP powered Agentic RAG In this project you'll learn how to build your own MCP server It connects to Cursor & performs deep web searches as well as RAG over a specified directory. XXX% open-source code with a step-by-step guide:" @akshay_pachaar on X 2025-07-18 12:52:23 UTC 214.4K followers, 3946 engagements
"The only AI framework you'll ever need to learn In this video we create an agentic workflow for writing and publishing content using Motiaa unified system where APIs background jobs events and agents are just plug-and-play steps. XXX% open-source" @akshay_pachaar on X 2025-07-17 07:35:16 UTC 214.4K followers, 19.5K engagements
"Finally A Text-to-SQL tool that actually works Vanna is an open-source RAG framework for complex Text-to-SQL generation. It manages dynamic data and allows custom RAG model training for greater accuracy. XXX% open-source" @akshay_pachaar on X 2025-07-15 12:32:51 UTC 214.4K followers, 98.2K engagements
"Links: - ML for Beginners: - AI for Beginners: - NN Zero to Hero: - Paper implementations: - Made with ML: - Hands-on LLMs: - Advanced RAG techniques: - Agents for Beginners: - Agents towards production: - AI Engg. Hub: Note: This roadmap moves toward LLMs NLP and AI agents after Made With ML but dont overlook CV and RL. They're equally powerful paths for AI engineers to explore" @akshay_pachaar on X 2025-07-17 12:33:01 UTC 214.4K followers, 5425 engagements
"In case you missed it💫 I published a crash course on building AI Agents In XX minutes you'll learn: - What is an AI agent - Connecting agents to tools - Replacing tools with MCP servers - Adding custom memory to Agents The video it attached below.👇" @akshay_pachaar on X 2025-07-13 07:47:54 UTC 214.3K followers, 39.3K engagements
"7 MCP projects for AI Engineers (with video tutorials):" @akshay_pachaar on X 2025-07-03 13:02:46 UTC 214.4K followers, 326.4K engagements
"5 Build your own reasoning LLM In this project you'll learn how to build your own reasoning LLMs like DeeSeek-R1 using Reinforcement finetuning. Step-by-step guide with code:" @akshay_pachaar on X 2025-07-18 12:52:26 UTC 214.4K followers, 3247 engagements
"Turn messy PDFs into clean LLM-ready data Dolphin revolutionizes document image parsing with its analyze-then-parse approach making complex documents accessible to AI applications. Handles text tables formulas & figures. XXX% open-source lightning-fast solution" @akshay_pachaar on X 2025-07-09 12:50:39 UTC 214.4K followers, 120.2K engagements
"100% open-source tech stack: - @crewAIInc for building MCP ready agents - @zep_ai Graphiti to add human like memory - @Cometml Opik for observability and tracing. You can find the entire code here:" @akshay_pachaar on X 2025-07-12 12:33:05 UTC 214.1K followers, 1898 engagements
"9 Agents Towards Production The above beginner course taught you what AI agents are. Now it's time to learn how to ship them. This is a practical playbook for building GenAI agents covering memory orchestration deployment security & more. Check this 👇" @akshay_pachaar on X 2025-07-17 12:32:53 UTC 214.4K followers, 2350 engagements
"Knowledge graphs are insanely good at giving agents human-like memory Today we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor Claude Desktop etc. It's built using a real-time knowledge graph. XXX% open-source and self-hosted" @akshay_pachaar on X 2025-06-08 13:31:43 UTC 214.4K followers, 157.7K engagements
"Motia workbench provides an interactive UI to help build monitor and debug our flows. With one-click you can also deploy it to cloud 🚀 Check this out 👇" @akshay_pachaar on X 2025-07-16 13:02:31 UTC 214.2K followers, XXX engagements
"@robin_chps It's more generic you can use those frameworks within Motia steps" @akshay_pachaar on X 2025-07-17 09:05:06 UTC 214.4K followers, XX engagements
"I decided to put together all my MCP posts in a single PDF. It covers: - The fundamentals of MCP - Explanations with visuals and code - XX hands-on projects for AI engineers Download link in next tweet" @akshay_pachaar on X 2025-06-27 12:58:34 UTC 214.4K followers, 212K engagements
"8 AI Agents for Beginners by Microsoft After diving into LLMs and mastering RAG learn how to build AI agents. This is a hands-on course that teaches you how to build autonomous AI agents using real frameworks like Semantic Kernel AutoGen and MCP. Check this👇" @akshay_pachaar on X 2025-07-17 12:32:49 UTC 214.4K followers, 2519 engagements