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I built an open source data analyst agent! Upload any CSV, ask a question, and get it answered with statistics or a nice chart. Launching in 24 hours. 100% free & open source. Under the hood, here's how it works: 1. User uploads a CSV and asks a question....

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Hassan

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27,086 görüntüleme • 9 ay önce •via X (Twitter)

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Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:
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Introducing Qwen 3 + Deep Research! We built a deep research agent with Qwen 3 and it performed better than most open source models that we've tried. the code is completely open source and free! built with 's Langgraph Together AI and uses Perplexity Tavily for search here's the code link:

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I finally built a web scraper that uses AI! It scrapes the entire text of a site, and then uses AI to extract the parts that you want. You can add an infinite number of custom prompts, and then it returns a csv. I need some beta testers. Who's in?

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🤯🤯 That's insane! Hugging Face just shipped Data Studio on dataset pages... Ask a question about any dataset, the agent writes and runs a SQL query... then share the result or download as CSV... check it out! 👀 ⤵️ Wow GG Caleb 👏
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🤯🤯 That's insane! Hugging Face just shipped Data Studio on dataset pages... Ask a question about any dataset, the agent writes and runs a SQL query... then share the result or download as CSV... check it out! 👀 ⤵️ Wow GG Caleb 👏

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I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.

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Open Interpreter is like ChatGPT Code Interpreter, but you can run it locally on your computer, and it is 100% open-source. Write and execute code, analyze data, control your computer, and more. Great work killian Here's how to install and use it: 👇

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142,883 görüntüleme • 2 yıl önce

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i wish i could just upload a CSV and it would automatically create a dashboard so we built this today we're launching graphed .com graphed is an AI data analytics and dashboard generator upload data into Graphed and it's gonna one shot generate a dashboard you can chat with the entire dashboard to make changes and you can click into the graph and chat with it to make updates everything you create in Graphed can easily be shared with your team by sending a link or you can download a screenshot and drop it into a Slack channel or add it to a presentation the Graphed source data can either be a CSV or a data integration data integrations allow you to create live dashboards that are constantly updating in the background we're launching with Google Analytics 4 as our first data integration but we have Shopify, Facebook ads, Google Ads, MongoDB, and hundreds more are on our product roadmap you can sign up for free at graphed .com and if you want a 40% discount code that will only be available during launch comment "graphed" below

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Announcing Fire Enrich V2 - our open-source Clay-like data enrichment platform you can run with any LLM! Upload a CSV, spawn sub-agents using @Firecrawl_dev's /search and /scrape to find real-time company data, funding, or any data point. Fork the example today 👇
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Announcing Fire Enrich V2 - our open-source Clay-like data enrichment platform you can run with any LLM! Upload a CSV, spawn sub-agents using @Firecrawl_dev's /search and /scrape to find real-time company data, funding, or any data point. Fork the example today 👇

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8:45

Lets build `Auto-RAG` where we let the LLM pull the data it needs from different sources. 🔎 The user asks a question. 🤔 LLM decides whether to search its knowledge, memory, internet or make an API call. ✍️ LLM answers with the context. Code:

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1:30

Today I’m launching Open Interpreter, an open-source Code Interpreter that runs locally. Summarize PDFs, visualize datasets, and control your browser — all from a ChatGPT-like interface in your terminal. ● $ pip install open-interpreter $ interpreter

killian

2,055,134 görüntüleme • 2 yıl önce

yesterday, I started building an AI assistant for financial data analysis. It can analyze a CSV and provide insights. Next, I’m adding a feature that lets users ask follow-up questions and interact with the data. Built this with nextjs, v0 and AI SDK with Open AI's GPT-4o model
0:33

yesterday, I started building an AI assistant for financial data analysis. It can analyze a CSV and provide insights. Next, I’m adding a feature that lets users ask follow-up questions and interact with the data. Built this with nextjs, v0 and AI SDK with Open AI's GPT-4o model

cedric

14,683 görüntüleme • 1 yıl önce

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I built a multi-agent Deep Research team using Qwen 3 that can generate consulting style reports as Google docs. It has 3 AI Agents working together as a team: 1. Research Question Agent 2. Web Search Agent 3. Google Docs Compilation Agent 100% Opensource Code.

Shubham Saboo

25,071 görüntüleme • 1 yıl önce

Import large data sets in seconds! With Appwrite’s new CSV imports feature, you can import documents into your Appwrite collections using a simple CSV file. And the best part, you don’t even need a custom script. Check out this video to learn how it works.
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Import large data sets in seconds! With Appwrite’s new CSV imports feature, you can import documents into your Appwrite collections using a simple CSV file. And the best part, you don’t even need a custom script. Check out this video to learn how it works.

Appwrite

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i'm a little sick of chatgpt giving me obviously broken code i've found a "micro agent" approach to LLM code generation can work much better the LLM first generates a *test*, and then enters a loop where it generates and iterates on the code until the tests pass source below
0:23

i'm a little sick of chatgpt giving me obviously broken code i've found a "micro agent" approach to LLM code generation can work much better the LLM first generates a *test*, and then enters a loop where it generates and iterates on the code until the tests pass source below

Steve (Builder.io)

544,125 görüntüleme • 2 yıl önce

I built Feynman, Claude Code for research. I gave it a question and it came back 30 minutes later with a cited meta analysis. It can also replicate experiments on Runpod, audit claims against code, and simulate peer review. Open source & MIT license, link below
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I built Feynman, Claude Code for research. I gave it a question and it came back 30 minutes later with a cited meta analysis. It can also replicate experiments on Runpod, audit claims against code, and simulate peer review. Open source & MIT license, link below

Advait Paliwal

336,553 görüntüleme • 2 ay önce

Built an open-source Jupyter Notebook that brings the power of OpenAI's code interpreter into your local Python development environment. Watch how easy it is to use Thread to edit code I wrote, chat with my notebook, or generate charts just using prompts. We built Thread using Next.js, Chakra and Project Jupyter and you can install it by running: pip install thread-dev
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Built an open-source Jupyter Notebook that brings the power of OpenAI's code interpreter into your local Python development environment. Watch how easy it is to use Thread to edit code I wrote, chat with my notebook, or generate charts just using prompts. We built Thread using Next.js, Chakra and Project Jupyter and you can install it by running: pip install thread-dev

Ali Shobeiri

112,614 görüntüleme • 2 yıl önce

Your coding agent may be lying to you. You ask it to write tests. It says they pass. It never ran them. You ask for a feature. It hits a wall and silently swaps in fake data. We built Vet to fix this. It’s open source. Get the code below.
1:41

Your coding agent may be lying to you. You ask it to write tests. It says they pass. It never ran them. You ask for a feature. It hits a wall and silently swaps in fake data. We built Vet to fix this. It’s open source. Get the code below.

Imbue

142,839 görüntüleme • 3 ay önce