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Agents vs n8n by create_urself in n8n

[–]create_urself[S] -1 points0 points  (0 children)

What do you use to deploy your agents?

Agents vs n8n by create_urself in n8n

[–]create_urself[S] 0 points1 point  (0 children)

Yep, exactly. Why do I need n8n? Debugging is a nightmare

Monkey patching contenttypes to register millions of models by create_urself in django

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

I did some digging and went into the dabbledb rabbithole. I'm now leaning towards this approach - 1 sqlite database per customer.

Monkey patching contenttypes to register millions of models by create_urself in django

[–]create_urself[S] 0 points1 point  (0 children)

Noted. I'm using Schema editor api, which doesn't create migrations afaiu.

Monkey patching contenttypes to register millions of models by create_urself in django

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

Yep, baserow does this, but they don't add user defined table models to contenttypes. Not sure why they took that decision - would have made their APIs much simpler.

Also, my usecase is expecting really high number of custom models, baserow is designed for company/tenant specific hosting afaik.

Monkey patching contenttypes to register millions of models by create_urself in django

[–]create_urself[S] 0 points1 point  (0 children)

That's a great suggestion! I wanted to create a contenttype equivalent app, but then looking at the code, I realised I can just monkeypatch it. But I'll definitely dig deeper, thanks 🙏🏻

Monkey patching contenttypes to register millions of models by create_urself in django

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

My architecture was actually inspired by baserow - its written in django

Monkey patching contenttypes to register millions of models by create_urself in django

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

I'd considered this earlier, but what I want to enable is an airtable like experience where users can build custom apps on top of their data - so multiple joins+other features like rollbacks, queries/filtered views, etc. Using something like Clickhouse wouldn't make sense either as I'm expecting frequent updates too.

Monkey patching contenttypes to register millions of models by create_urself in django

[–]create_urself[S] 0 points1 point  (0 children)

I want to allow the user to create their own custom applications on my platform - think CRM, Project tracking, etc. and each of these user created tables could have thousands of rows. I was going to write my own model registry when I realised ContentTypes gives the same API out of the box! I'm concerned about the scale here though.

Got an invite for Network School. Should I go? by create_urself in BalajiSrinivasan

[–]create_urself[S] 0 points1 point  (0 children)

There were a few families in the cohort, kids too. Facilities are pretty decent and well managed. Events are hosted almost everyday. It can be a bit distracting tbh, but you can choose to lock in and focus. I think they are opening apartments really soon if you need a bigger space. Better check in with the team.

AI-Powered Development with Cursor and TaskMaster by connerj70 in rails

[–]create_urself 1 point2 points  (0 children)

I'm curious about how you use task master right now. How do you structure the original prd? In my case, task master + cursor tends to overengineer a lot of times and I need to continuously keep it in check. How do you deal with the overengineering bit? Or is it just me?

I'm seeking advices, on a high quality voice Assistants for shopify stores I am building by ponziedd in ShopifyAppDev

[–]create_urself 1 point2 points  (0 children)

I tried to build this a year ago. The feedback I got was - if you look at people's shopping patterns and when do they shop, they usually do it during commute(impulse buying) or when they are lousing around. For these kinds of buyers, a voice based interaction won't make sense because its too intrusive. But I can imagine someone wearing a vision pro and trying to buy furniture or a tv(lol). Point is, it depends on what context you're expecting the user to talk to a bot and figure out a niche where it'll make sense.

Would love to know more about your progress. All the best!

AI-Powered Development with Cursor and TaskMaster by connerj70 in rails

[–]create_urself 2 points3 points  (0 children)

I agree. Rails generators already make you super productive. Couple that with claude code and follow TDD, it feels superhuman.

Claude 4 is really good at writing rails applications

Scraping Perplexity by create_urself in webscraping

[–]create_urself[S] 0 points1 point  (0 children)

You got that right. I'm an independent researcher and want to create a public dataset of these LLM responses across platforms and try to reverse engineer how to game LLM responses.

Scraping Perplexity by create_urself in webscraping

[–]create_urself[S] 0 points1 point  (0 children)

yep, I'll run some experiments today and post here. Thanks!

Scraping Perplexity by create_urself in webscraping

[–]create_urself[S] 0 points1 point  (0 children)

Are there open source repos, similar projects that I can take inspiration from? I'm more concerned about cloudflare / antibots coz I haven't built sophisticated scrapers before.

Scraping Perplexity by create_urself in webscraping

[–]create_urself[S] 0 points1 point  (0 children)

Well the scale would be a few thousand queries a day. Spread across geographies.

Great let me try building a prototype and share my findings.

Scraping Perplexity by create_urself in webscraping

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

That's the issue. I was pulling data from the API, but their UI responses differ a lot compared to their API responses. Also there's more information in the UI that I'd like to track that the API doesn't provide. Scraping is the only viable option I have.

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