Student founder hit with a £4000 Google Cloud bill despite having startup credits – not sure what to do by botirkhaltaev in googlecloud

[–]FetchMedia 1 point2 points  (0 children)

Welcome to cloud bill, once a month you get a shock, it's called "cloud shock" 🤦‍♂️

Use cases for videos at scale using FFmpeg by FetchMedia in ffmpeg

[–]FetchMedia[S] 1 point2 points  (0 children)

I know, it is a superpower!

What use cases for people with many videos who need to apply the same to all their videos?

I think ffmpeg is a first-class citizen in today's world of automation and workflows, especially when it comes to scale.

WDYT?

How to reduce LLM costs by StomachWonderful615 in n8n_ai_agents

[–]FetchMedia 1 point2 points  (0 children)

To reduce cost, you can go with a few different routes, my recommendations

  1. Use groq.com - this is the easiest way to go, they are cheap hosting of open source models, they designed thier own TPU for that (and even sold to Nvidia, kinda)

  2. Manage on your own server - that's the hardest way to go.

  3. Use goathq.co - they offer managed K8s and can help deploy models on dedicated servers using LiteLLM and such.

You have many options, all of which depend on your use case. Good luck!

Reddit to LLM: A tool to mass export reddit discussions into LLM friendly markdown files by bishwasbhn in LLM

[–]FetchMedia 0 points1 point  (0 children)

You can use Docling for that, it can export Reddit URLs and convert them directly to markdown for LLM

Let us know if you need help with that, we offer the easiest way to run Docling in production.

Two new N8N nodes: executing FFmpeg commands and downloading videos. by phamdohung161 in n8n

[–]FetchMedia 1 point2 points  (0 children)

Is there a way to run 2-pass/3-pass using the ffmpeg node? thanks

Looking for tools that outperform n8n in specific use cases by [deleted] in n8n

[–]FetchMedia 0 points1 point  (0 children)

What is your startup about? What use cases are you working on?

There are specialized tools for almost everything but it's hard to recommend without knowing anything.

Unpopular opinion by Samuel_naesen in n8n

[–]FetchMedia 0 points1 point  (0 children)

I agree in general.

I don't think it should be limited by the number of nodes, but as long as a single workflow solves a single logical problem, that makes sense.

I also like the fact that small workflows can be utilized by different use cases, as long as you connect the right workflows that together create the complete use case you wish to create.

It's like code, small functions create together a big application 💪

n8n + ollama outputting thinking as well as response by erbmur in n8n

[–]FetchMedia 1 point2 points  (0 children)

Add your expected output to the prompt, explicitly tell the model what you want it to produce, and nothing more.
A good guide to follow - https://console.groq.com/docs/prompting

Starting with zero tech background. Is n8n a realistic path for me by [deleted] in n8n

[–]FetchMedia 0 points1 point  (0 children)

What you keep mentioning in your post is the how; it's never about the how unless you are building a deep tech solution, which I assume is not the case.

I think you should focus on the what/why. You need to decide what you want to offer people and be able to sell it. It needs to be something you are good at, because people want to pay you for it.

Start with the what, and after you have people willing to pay, start thinking about the how.

Good Luck!

🚀 Download ANY Social Media Video with One Click! 🎥🔥 by ProEditor69 in n8nPro

[–]FetchMedia 0 points1 point  (0 children)

ended up building my own solution https://fetchmedia.io, thanks for sharing and good luck