Skip to content

Show HN: I Built an Agent That Writes Fresh Newsletters for Any Topic

5 pointsArindam17293 comments
On HN

Recently, I was exploring the idea of using AI agents for real-time research and content generation.

To put that into practice, I thought why not try solving a problem I run into often? Creating high-quality, up-to-date newsletters without spending hours manually researching.

So I built a simple AI-powered Newsletter Agent that automatically researches a topic and generates a well-structured newsletter using the latest info from the web.

Here's what I used:

- Firecrawl Search API for real-time web scraping and content discovery - Nebius AI models for fast + cheap inference - Agno as the Agent Framework - Streamlit for the UI (It's easier for me)

The project isn’t overly complex, I’ve kept it lightweight and modular, but it’s a great way to explore how agents can automate research + content workflows.

If you're curious, I put together a walkthrough showing exactly how it works: https://www.youtube.com/watch?v=iDYnR_MlErg

And the full code is available here if you want to build on top of it: https://github.com/Arindam200/awesome-ai-apps/tree/main/simp...

Would love to hear how others are using AI for content creation or research. Also open to feedback or feature suggestions might add multi-topic newsletters next!

Comments

I would not subscribe to any newsletter written with AI. Why would I do that? The "content" so generated is almost by definition average or median. It will also be nothing new, by definition, but instead a rehash of other material the model's been trained on.

Now that I think about it, any organization or entity that makes a newsletter with AI/LLMs is probably creating "content" just to fill up space, for SEO purposes or some such not-even-nefarious, but rather dull and boring, reason. I'd probably ignore their newsletter and "content" accordingly.

Curious to know why you chose Agno? I've used Langchain previously. Any specific reason for that?

I was recently exploring it, and it was pretty easy to start and implement.

That was one of the reasons for using Agno

AboutSource Built by g1lg1l

Hackerly is an independent reader for Hacker News, built on the public HN API. Not affiliated with Y Combinator.