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You should really stop using Zapier, Make or n8n Generating a Python script and running it is much faster (and cheaper) using: - o3-mini / Claude / Gemini to create the script - Python Code Runner (free Chrome extension) to run it And it only takes a few minutes.... show more

Paul Couvert

220,984 subscribers

166,508 次观看 • 1 年前 •via X (Twitter)

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12 条评论

Paul Couvert 的头像

Paul Couvert1 年前

Link to the Python Code Runner extension: 100% free (with a premium option for scheduling your scripts) Thanks to Cliprun for the partnership and this discovery!

PDF GPT 的头像

PDF GPT2 年前

Everyone is getting ahead with AI. You should be too. Summarize documents, craft emails, and generate custom content instantly with this powerful tool. It's like having ChatGPT tailored for your job. Try it for free.

Arpit Sharma 的头像

Arpit Sharma1 年前

More control, fewer limitations, and no subscription fees. This is the way.

Paul Couvert 的头像

Paul Couvert1 年前

Exactly 🎯

Alvaro Cintas 的头像

Alvaro Cintas1 年前

I love n8n but always willing to check other out 👀

Paul Couvert 的头像

Paul Couvert1 年前

You should! Generating your own automations/agents is still highly underestimated.

Florian Camiade 🗝️ 的头像

Florian Camiade 🗝️1 年前

This is a built-in cheat mode

Paul Couvert 的头像

Paul Couvert1 年前

Probably the easiest way to run scripts I've seen so far!

Sam McKay 的头像

Sam McKay1 年前

Yea I've thought this recently as well. Isn't it better to just create your own app around these automations now?

Paul Couvert 的头像

Paul Couvert1 年前

You can. If it's for internal use, not having a UI usually doesn't bother me.

Rene Remsik | AI Content Marketing 的头像

Rene Remsik | AI Content Marketing1 年前

Nocode expert saying death to nocode tools? Wild times😳

Paul Couvert 的头像

Paul Couvert1 年前

AI-generated code is the new no-code. For real.

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Took a simple fluid sim scene that I set up in Blender using a python script made in o3-mini. And then I ran it through several styles with vid2vid in Runway 🧵1/5

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CoffeeVectors

18,739 次观看 • 1 年前

You should really stop using Zapier or Make. Deploying Python scripts on Replit takes less than 5 min and is cheaper. Just describe what you want to automate and AI takes care of writing the code. For example, I created an automation that merges all the PDFs in a folder on Drive into a single file. All that's left to do is: - Copy/paste the API key - Click on "Run" And you're done! In this case I used Aider Chat (free and open source), but you can also use Replit Agent.

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Paul Couvert

163,047 次观看 • 2 年前

Walrus Memory plugs into whatever you're already using. Works with Claude, ChatGPT, and Gemini, supports MCP natively, and ships with Python and TypeScript SDKs. Adeniyi.sui walks through what it takes to actually start using it. 🦭

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Walrus

14,041 次观看 • 4 个月前

You can now connect to Claude in Chrome using the VS Code extension. Use it to debug frontend apps, collect data or automate your browser. Install the extension and type @ browser to get started.

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Thariq

260,591 次观看 • 8 个月前

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SOMEONE BUILT A GITHUB REPO THAT LETS YOU RUN CLAUDE CODE COMPLETELY FREE, FOREVER. It reroutes your Claude Code traffic to 10 free providers like DeepSeek and Kimi, takes 5 minutes to set up, and already has 20,000+ devs running it.

0xMarioNawfal

121,737 次观看 • 5 个月前

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Rohan Pandey

27,363 次观看 • 1 年前

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me: "can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM" claude opus 4.6:

Joseph Viviano

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@levelsio

143,316 次观看 • 9 个月前

I built my own Python Programmer. Devyan is a multiagent system using CrewAI which can provide high level architecture, code it and provide tests for any problem which you give to it. Experimental project built for fun during my free time. Link:

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Sai Yashwanth

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This Python script helps you better understand how embeddings work for SEO. Input a sentence + a query and BERT will calculate a content "Similarity Score": Search engines use embedding models to translate your content into numeric values. This is how they're able to mathematically determine whether a page on your site is actually relevant to a query someone is searching for. Once both the content and query are run through embeddings - they can calculate the "cosine similarity" or how similar the two entities are to each one. With this Python script, you can actually visualize how cosine similarity works for yourself. To you use you'll simply: 1. Save the Python script to a text file 2. Use your Terminal to run the script 3. You'll be prompted for both a "Sentence" and "Query" 4. Once entered, the script will calculate a "Similarity Score" between the text and query. This is how relevant your sentence is for the target keyword. By running this, you'll see that search engines are able to come with an calculation of content relevance. You'll need to think about the content on your site the same way - which sections have high scores and which ones have low ones? I've linked the Python script in the comments below. No coding knowledge is required and it walks you step by step on how to implement it.

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Chris Long

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216,612 次观看 • 1 年前

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Qiusheng Wu

13,435 次观看 • 6 天前

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Daniel San

28,410 次观看 • 1 年前

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Marlene Mhangami

30,590 次观看 • 1 年前

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155,254 次观看 • 2 年前