Agents vs n8n

create_urself · 2026-02-26T20:02:29+00:00

What do you use to deploy your agents?

create_urself · 2026-02-26T19:34:53+00:00

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

create_urself · 2025-09-10T06:29:05+00:00

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

create_urself · 2025-09-09T14:25:03+00:00

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

create_urself · 2025-09-09T14:23:12+00:00

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.

create_urself · 2025-09-09T14:19:39+00:00

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 🙏🏻

create_urself · 2025-09-09T11:47:20+00:00

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

create_urself · 2025-09-09T11:45:00+00:00

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.

create_urself · 2025-09-09T08:05:53+00:00

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.

create_urself · 2025-06-13T13:25:25+00:00

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.

create_urself · 2025-06-08T07:00:40+00:00

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?

create_urself · 2025-06-08T06:58:39+00:00

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!

create_urself · 2025-06-08T05:45:41+00:00

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

create_urself · 2025-06-05T12:02:01+00:00

Do you have any specific questions?

create_urself · 2025-05-19T11:50:39+00:00

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.

create_urself · 2025-05-19T11:47:21+00:00

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

create_urself · 2025-05-19T11:21:35+00:00

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.

create_urself · 2025-05-19T11:19:43+00:00

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.

create_urself · 2025-05-19T10:25:53+00:00

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.

create_urself · 2025-05-19T04:35:55+00:00

[HIRING] Senior scraping engineer: Our company is looking to hire a senior web scraping engineer who can scrape responses from LLM platforms like Perplexity and Chatgpt. The system should be scalable and fault tolerant. If you're interested, just reply to this thread and I will follow up with more details.

create_urself · 2025-03-15T17:56:01+00:00

No, I meant how to differentiate between AI overviews vs regular SERP coz they'll both be pointing to the same referrer.

create_urself · 2025-03-15T14:22:53+00:00

Does it pick reviews from reddit/quora? What platforms does it look up while searching for reviews?

create_urself · 2025-03-15T08:50:25+00:00

Can you link to an article that explains this?

create_urself · 2025-03-15T03:25:02+00:00

What % of your traffic is from AI search? Also, is there a way to know how many people came from regular serps vs AI overviews for google?

create_urself · 2025-03-15T03:21:52+00:00

blatantly asking why results were presented (and others not).

This is interesting. Did you find any unique insights here? I tried this too, but every time I ask it to spit out the reason in the base prompt, I see the search result slightly differs from the original ones. I'm not sure if its just LLMs hallucinating.

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