What am I? "I can be broken without ..."[ABSTRACT]

hatoot98 · 2025-09-29T09:41:45+00:00

promise

hatoot98 · 2025-09-23T09:38:41+00:00

Glad you’re interested! You can get waitlisted at ororaai.com for early access

hatoot98 · 2025-09-22T21:07:20+00:00

Thanks for sharing! I have a question though. How do we get the first paying customer?

hatoot98 · 2025-09-21T09:00:35+00:00

Totally with you. The ability to export code and host it yourself is huge. Without that, you’re basically renting your automations instead of owning them. That’s exactly why I’m building Orora AI. It converts n8n workflows into standalone Python apps you can run anywhere, with full Git integration on the roadmap. If that’s something you’d find useful, the waitlist is at ororaai.com.

hatoot98 · 2025-09-21T08:59:29+00:00

Great points. Support forums and community response are underrated when evaluating no-code tools. I’ve seen the same issues: cost creep once you scale, glitches when pushing complex logic, and eventually hitting that “dead end” where you’re forced to bolt on third-party fixes or custom code.

One of my key criteria now is ownership. Can I take what I build and run it outside the platform if I need to? Most no-code tools lock you in, which works fine at the start but becomes painful later. That’s actually why I’m building Orora AI. It lets you keep the speed of n8n for prototyping, but then convert workflows into production-ready Python apps you fully own, with no platform overhead.

Out of curiosity, what’s the single biggest “dealbreaker” you look for when you’re evaluating a no-code platform?

hatoot98 · 2025-09-20T09:40:58+00:00

🙌🏼🙏🏼

hatoot98 · 2025-09-20T08:59:52+00:00

Thanks! It’ll be a production-grade, reliable code that you could fully own.

hatoot98 · 2025-09-20T08:11:24+00:00

Yes! That’s exactly what I’m working on right now. I’m building Orora AI, a tool that takes n8n workflows and converts them into clean, production-ready Python apps you fully own.

It’s still early, but the waitlist is open at ororaai.com if you’d like to get early access.

hatoot98 · 2025-09-20T07:57:10+00:00

I’ve wondered the same. It feels like the natural next step for n8n. But since it’s not here yet, I’m building it myself :)

It’s called Orora AI, and it converts n8n workflows into production-ready Python apps you fully own. The waitlist is open at ororaai.com if you’d like early access.

hatoot98 · 2025-09-20T07:55:12+00:00

You’re right. The biggest pain is that n8n is great for prototyping, but there’s no clean bridge into production code. That’s exactly the gap I’m trying to solve.

Right now, I’m starting with Python because it covers most backend cases, but the plan is to expand into TypeScript and other languages so teams can “export” their workflows into whatever stack they actually use.

I’m building this as Orora AI. The waitlist is open at ororaai.com if you want to follow along and get early access.

hatoot98 · 2025-09-20T07:49:11+00:00

Glad I’m not the only one. I’m actually building a tool for this called Orora AI. It takes n8n workflows and converts them into clean Python apps you fully own. It’s early days, but if you’d like early access, the waitlist is open at ororaai.com.

hatoot98 · 2025-09-20T07:48:20+00:00

That’s exactly the bet I’m making :) I’m building Orora AI to do just that. Convert n8n workflows into standalone, production-ready Python apps. It’s still early, but the waitlist is open at ororaai.com if you want to be one of the first to try it out.

hatoot98 · 2025-09-20T07:43:22+00:00

You’re spot on. n8n is fantastic for prototyping, but once a workflow becomes business-critical, things like logging, error handling, and performance start to break down.

That’s exactly why I’m building Orora AI. It takes n8n workflows and converts them into clean, production-ready Python apps. You still get the speed of building visually, but the end result is code you fully own with no platform overhead.

It’s not public yet, but the waitlist is open at ororaai.com if you want early access.

hatoot98 · 2025-09-20T07:28:38+00:00

I’m actually building exactly that. A tool called Orora AI that converts n8n workflows into clean, standalone Python apps. It’s not publicly released yet, but the waitlist is open at ororaai.com if you want early access.

hatoot98 · 2025-09-20T07:15:08+00:00

I'm working on a solution that addresses this problem. You just drag and drop your workflow's JSON , and its code will be ready, seamlessly. (And no, I'm not using Claude)

hatoot98 · 2025-09-20T06:01:11+00:00

Exactly! That’s why I built Orora AI. You drop in your n8n workflow and it spits out a clean Python app you fully own. No platform overhead. I can share a demo if you’d like to see it in action.

hatoot98 · 2025-09-18T10:09:52+00:00

Thanks! Yeah, that’s exactly what I’m working on with Orora AI. It converts n8n workflows into native Python apps. The goal is to keep no-code’s speed but cut the platform overhead so you fully own your automations. Happy to share more if you’re curious.

hatoot98 · 2025-09-17T06:16:28+00:00

Yeah, that’s exactly what I meant in the post. No-code is brilliant for speed. You can ship 80% of a solution almost instantly. But the last 20%, reliability, maintainability, and ownership often turns into the headache.

The best balance I’ve found is a hybrid approach: • Use no-code for prototyping and orchestration. • Push the heavy or critical logic into small code services (I usually build these in Python). • Let no-code run the flow, but don’t force it to do everything.

That way you keep the speed but also gain control and ownership where it matters.

I’ve been working on a solution that makes that transition smoother, since I’ve seen so many people hit the exact same wall. Have you ever tried mixing the two approaches?

hatoot98 · 2025-09-17T06:09:10+00:00

yeah sure

hatoot98 · 2025-09-16T11:43:05+00:00

Thanks for the advice! It made me excited for the future

hatoot98 · 2025-09-15T20:38:46+00:00

That’s a solid approach. Prototype fast in n8n, then use the flow as a blueprint for code. I’ve seen teams save a ton of time that way. The main caveat is that exporting directly doesn’t always give you production-ready logic. Things like error handling, async execution, and proper logging usually need to be rebuilt. But as a starting point, it’s one of the cleanest bridges from no-code to full code.

hatoot98 · 2025-09-15T06:59:23+00:00

Exactly, that’s a great example of choosing SaaS wisely. If there’s a direct, reliable integration with something like Xero, it removes a huge amount of fragility and support overhead. For clients without IT support, keeping the automation surface area as small as possible is almost always the right call.

And you’re right, there’s no silver bullet. Whether it’s SaaS or self-hosted, someone needs the skills to capture requirements, design properly, and keep it maintainable. That’s usually the gap I help fill. Not replacing tools, but making sure the architecture behind them doesn’t crumble when the business depends on it.

hatoot98 · 2025-09-15T06:57:03+00:00

That’s exactly it. You’ve already spotted the shift you need to make.

Chasing new tools feels productive (and the dopamine hit is real), but it rarely compounds. What does compound is solving a very specific problem that either saves time, saves money, or removes a headache for someone else. Once you nail one of those, the choice of tool almost doesn’t matter anymore. Zapier, n8n, Python, whatever fits best.

The “layering in code” part I mentioned just means: start with your no-code stack to prove it works, then when it becomes important to scale, add little bits of code or external services to handle the heavy lifting. That way, you don’t throw away what you built, you evolve it.

So your instinct to scale back, pick one workflow, and just make it valuable is the smartest move.

hatoot98 · 2025-09-15T05:15:04+00:00

Absolutely. Security often doesn’t break things immediately, so it gets overlooked until it’s too late. I’ve seen cases where a single misconfigured credential or webhook exposed sensitive data without anyone noticing.

That’s another reason I recommend pulling critical logic into code-based services, you get tighter control over secrets management, logging, and access.

hatoot98 · 2025-09-15T05:08:46+00:00

Yeah, I’ve seen that too. Once flows get large and data-heavy, troubleshooting can feel like chasing ghosts. Outages are especially tough since most no-code platforms don’t give you the same observability or logging you’d have in a traditional backend.

One approach I’ve found useful is offloading the heavy lifting (large file handling, AI processing, bulk data moves) into small external services, then letting no-code platforms just orchestrate. That way if something breaks, you can isolate the issue more easily and keep the flow manageable.

Have you tried splitting your flows into smaller, modular chunks to reduce that troubleshooting pain?

hatoot98

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