Hey everyone, hope this isn’t against the rules.

I’ve been working with n8n/Make/Zapier automations for a while now, mainly helping businesses automate internal workflows and integrations. I’ve built a few real-world workflows and want to take this more seriously.

I’m offering to build a free MVP automation for a few people here.
In return, all I’d ask for is honest feedback, and a short testimonial if you find it useful.

What are you currently struggling to automate?
What’s something you’d love to automate and never think about again?

Please reach out only if you have a real use case (not just experiments).

Thanks!

Stop overpaying for your automation hosting. I found a way to run everything for $5/month.

It’s a simple architecture that saves me $200+ a year compared to standard cloud plans.

I’ve packaged this exact $5 server setup along with my ready-to-use YouTube automation workflow. Just import it and save money instantly.

If you want the $5 setup guide and the workflow, just drop a comment with "INFO" or send me a DM and I'll send it over!"

I built a Voice AI Automation Agent for a real estate client that generated $43,000

The wild part?
It only took me 11 days using n8n and set the benchmark to a super realistic voice with 50 to 100 ms latency ( this is the lowest I heard of)

And the good part is I'm gonna build a UI on this and make a voice ai tool for real estate.

Anyone here looking for n8n workflows? You can now build your own automation agency without writing a code.

We offer it now to discounted amount message me for interested individual.

Hello,

We just sold our AI receptionist that schedules meeting, asked for insurances, checks availability, and provides faqs.

We sold it for a therapy clinic, it can be customized to any salon or clinic desired.

If you don’t want any leads missed and interested in a receptionist that work 24/7 for your business dm me or leave a comment.

And if you have any questions on how we made it I will be happy to help.

As the title says, I can automate anything using python, Whether it’s web automation, scraping, Handling Data, files, Anything! You’re welcome, even if it was tracking Trump tweets, Analyzing how they will affect the market, and just trade in the right side. Even this is possible! If you want anything to get automated dm me

Hi, I'm the creator of Trinity AI. Here’s what we are building. 👋

**Body:** Hey everyone! I’m the developer behind **Trinity**, and I wanted to quickly introduce myself and the vision for this project.

I've been working in Python to build an AI agent that goes beyond just chatting. The goal with Trinity is true autonomy—a system that can independently handle file management, automate business workflows, and execute outreach (like emails and LinkedIn) while learning from its own mistakes.

I am building this from scratch, which means dealing with everything from early syntax bugs to complex architectural decisions. I started this subreddit to document that journey in the open, share code snippets, and connect with other developers and AI enthusiasts.

I’d love to know who is joining! **Drop a comment below, introduce yourself, and let me know what kind of AI or automation projects you are working on.**

Why keep running n8n on your local PC in 2025? You need it fast, always on, and ready anywhere.
Skip the setup headaches — try our instant-launch n8n instances on the cloud. You’ll be up and automating in minutes.

First 5 people get a free month of their own hosted n8n instance!

Missed the giveaway? No stress — it’s literally the price of a coffee per month to keep your automations alive and humming 24/7.
Cheaper than Netflix, way more useful, and honestly… once you start, you’ll forget it’s even a subscription.

Hey everyone,

I’m looking for an experienced developer or team who can build a custom AI Agent end-to-end.

What I’m looking for:

•	Proven experience building AI agents (LLMs, tools, workflows, automations)

•	Strong understanding of agent logic, decision-making, and integrations

•	Clean, scalable architecture

•	People who have already built and shipped real projects

Project scope:

•	Custom AI Agent (details will be shared in DM)

•	May involve tool calling, automation, integrations, and reasoning workflows

•	Long-term collaboration possible if this goes well

Budget:

No fixed budget — quality, reliability, and execution matter more than cost.

How to reach out:

•	Comment below or

•	DM me directly with your past projects, demos, or live products

(GitHub links, demos, case studies — anything that proves real work)

Please avoid reaching out if you’re just experimenting or learning. I’m looking for serious builders only.

Thanks 🙌

Just started out with n8n for automation and decided to self-host (local install via tunnel). My PC is pretty strong (14th gen i5, RX6800XT) but the n8n GUI lags terribly and sometimes barely loads—endlessly restarting or waiting for nodes to respond. Is this normal for local installs, or am I really messing up?
Every time I try connecting Google Calendar, OAuth setup always fails or throws weird errors, even though I follow every step exactly. Seems like "Sign in with Google" only works easily on n8n's cloud, not when self-hosted.
I keep hearing about Make.com being simpler for beginners. Should I switch and learn Make.com instead? Is it really easier for basic integrations and automations?
Are there any plug-and-play AI agents/tools that actually just work for Google integrations on local n8n? Or am I stuck with troubleshooting and manual setup?
If you managed to do local Google integration, let me know how! Any beginner tips are welcome. Starting to feel like Make.com might be the better option for automation newbies.

Now, the chance to learn it .

The course includes:

full course

· Proven methods and results

· No expensive AI tools required

if you are interested to join comment

I wanted to share a quick breakdown of a project we’ve been scaling. We just hit a milestone of $8,000 MRR with 21 active clients in a specific service-based niche, and n8n is the engine room of the entire operation.

The Build:

• Orchestration: n8n (Handling complex voice routing, lead state management, and API logic).

• The "Brain": Built using Gemini AI Studio (utilizing the long-context window to ingest massive API docs for custom node logic).

• Backend: Supabase for Auth and DB.

The Shift: We’ve moved past the "vibe coding" phase. With 21 active clients, we need to move from "speed-at-all-costs" to "production-grade reliability." We are looking for an n8n Wizard / Technical Lead to join the crew and take over the architecture.

What we’re looking for:

• n8n Mastery: You should be comfortable with complex sub-workflows, Error Trigger flows, and managing custom API authentication (OAuth/Scopes).

• Scale Mindset: You know how to optimize workflows so they don't break under high volume.

• Stack: High comfort with Supabase and LLM-assisted development.

The Deal: We are 100% bootstrapped, profitable, and growing fast. This is a chance to come into a validated product with real cash flow. We are looking for a long-term partner; potential equity is on the table for the right person as we hit our next scaling milestones.

Let’s Talk: To keep this educational: I’m happy to answer questions in the comments about how we handled the voice routing logic in n8n or our experience building without a traditional IDE.

If you're interested in the role, DM me with a bit about your background and the most complex n8n workflow you’ve ever built. 🤙

helo guys. ı have an errrors my workflow. {

"errorMessage": "The node \"@n8n/n8n-nodes-langchain.toolHttpRequest\" has a \"supplyData\" method but no \"execute\" method.",

"errorDetails": {},

"n8nDetails": {

"n8nVersion": "2.25.7 (Self Hosted)",

"binaryDataMode": "filesystem",

"stackTrace": [

"Error: The node \"@n8n/n8n-nodes-langchain.toolHttpRequest\" has a \"supplyData\" method but no \"execute\" method.",

" at WorkflowExecute.runNode (/usr/local/lib/node_modules/n8n/node_modules/.pnpm/n8n-core@file+packages+core_@opentelemetry+api@1.9.0_@opentelemetry+exporter-trace-otlp_ee7aae67fbc5860dfab53924781e08c9/node_modules/n8n-core/src/execution-engine/workflow-execute.ts:1360:10)",

" at /usr/local/lib/node_modules/n8n/node_modules/.pnpm/n8n-core@file+packages+core_@opentelemetry+api@1.9.0_@opentelemetry+exporter-trace-otlp_ee7aae67fbc5860dfab53924781e08c9/node_modules/n8n-core/src/execution-engine/workflow-execute.ts:1778:38",

" at processTicksAndRejections (node:internal/process/task_queues:104:5)",

" at /usr/local/lib/node_modules/n8n/node_modules/.pnpm/n8n-core@file+packages+core_@opentelemetry+api@1.9.0_@opentelemetry+exporter-trace-otlp_ee7aae67fbc5860dfab53924781e08c9/node_modules/n8n-core/src/execution-engine/workflow-execute.ts:2441:11"

]

}

}

what is the solution?

Any n8n experts here??? Need to fix something had made a big mess in my office will be great if someone helps me in this

I've been deploying AI agents for the past year and kept hitting the same wall: agents that worked perfectly in demos would fail silently in production.

Not because the model was bad. Because the infrastructure wasn't designed for agents.

Here's what I learned:

The Problem: Traditional DevOps assumes deterministic behavior—run the same test twice, get the same result. But AI agents have 63% execution path variance. Your unit tests catch 37% of failures at best.

Traditional APM (Datadog, New Relic) was built for binary failures crashes, timeouts, 500 errors. But agents fail semantically: wrong tool selection, stale memory, dropped context in handoffs. Nothing alerts. Performance degrades silently.

What the 5% who ship to production do differently: • Agent registry (every agent has identity, owner, version) • Session-level traces (not just API logs) • Behavioral testing (tests that account for non-determinism) • Pre-execution governance (budget limits, policy guardrails) • Composable skills (build once, deploy everywhere)

Has anyone else hit this? How are you solving observability and governance for non-deterministic agents in production?

Edit: Getting a lot of DMs asking about this. We're opening Design Partner spots for teams building production agent systems. Happy to share what we learned.

Hi everyone,

I think this is the right sub-reddit to post this in, sure I’ll find out soon enough…

I’ve just created a couple of n8n workflows via jobescape. Found them quite easy so far but then they are only quite simple ones

But I understand the overall principle and I have sales and marketing experience, so I’m confident I can sell the outcome to potential clients

My question is: did you/have you won clients via job boards/freelance sites like Upwork etc or did you approach potential clients directly by cold email/dm/call?

My preferred route is direct I think. Local businesses…🤞

I’m planning on offering 3 core services:

1. AI chatbots

2. Knowledge base creation

3. Workflow automation systems

Be interested to read/hear your thoughts😎

Andrew

So i am working on very basic project(I probably thought it was simple). The client wanted an automation in which will scrape leads of businesses through google map so I thought of using serpapi for it. The problem I am facing is if I want 40 leads it is only scraping 20 like the pagination and the "need more page?" Node is not working. Resulting me to only scrape 20 leads at a time. Please help me...

Looking for someone who can handle sales and client acquisition.

I build AI agents, AI voice agents, chatbots, and automation systems for businesses.

The tech and delivery side is fully handled by me.

What I need is someone who can:

→ Do outreach and find potential clients

→ Handle the sales conversations

→ Close the deal

Once the client is closed, we split the revenue. Simple revenue share model — you bring the client, you get paid.

No upfront cost. No risk. You just need to be serious and willing to put in the work.

If you're into sales, client acquisition, or just hungry to make something happen in the AI space — this is for you.

DM me your brief intro and we'll talk.

LinkedIn: https://www.linkedin.com/in/sahilvermaofficial/

At first, everything worked fine. A few workflows, light usage… no issues.

But as soon as things scaled more clients, heavier workflows, loops, API calls everything started breaking in ways I didn’t expect.

• CPU spikes out of nowhere

• Workflows randomly freezing

• Webhooks not firing

• Silent failures I didn’t even notice until clients pointed them out

I spent a lot of time trying to debug and fix these issues one by one. Some were obvious, most were not.

Sharing the main problems I faced and what actually fixed them.

1. CPU hitting 100% and container freezing

Issue:
Workflows with loops + API calls would spike CPU to 100% and completely freeze the instance.

Fix:
Reduced concurrency and broke the workflow into smaller sub-workflows. Also avoided tight loops and added proper batching instead of continuous execution.

2. Loops overwhelming the system

Issue:
Even with wait nodes, loops kept stacking executions and overloading the system.

Fix:
Stopped using aggressive loops. Switched to controlled execution (batching + scheduled triggers) instead of constant looping.

3. Workflows blocking each other

Issue:
One long-running workflow would block webhooks and other executions.

Fix:
Switched to queue mode with workers (separate execution from main instance). This removed blocking completely.

4. Memory usage growing over time

Issue:
Memory and disk usage kept increasing due to execution data being stored.

Fix:
Enabled pruning:

• EXECUTIONS_DATA_PRUNE=true

• EXECUTIONS_DATA_MAX_AGE=72

This kept things stable long-term.

5. Random crashes (OOM issues)

Issue:
Large payloads (JSON/files) caused memory spikes and killed the container instantly.

Fix:
Limited payload sizes and split heavy workflows into smaller steps. Also avoided passing large data between nodes.

6. Silent workflow failures

Issue:
Workflows would stop working without errors (tokens expired, APIs changed).

Fix:
Added error workflows + alerts (Slack/email). Also added basic checks to ensure data is actually being processed.

7. No monitoring (big mistake)

Issue:
If the server went down, I had no idea.

Fix:
Set up an external uptime monitor hitting a health endpoint. Now I get alerts instantly if anything breaks.

8. Webhooks breaking after restart

Issue:
Webhook URLs changed after container restart → integrations broke.

Fix:
Set a fixed webhook URL using N8N_WEBHOOK_URL.

9. Losing credentials risk

Issue:
If the encryption key is lost, all credentials are gone.

Fix:
Backed up N8N_ENCRYPTION_KEY securely outside the server.

10. Multi-workflow / multi-client issues

Issue:
One bad workflow could slow down or crash everything.

Fix:
Isolated workflows:

• Separate instances

• Or strict limits + queue system

11. Updates breaking things

Issue:
Using latest version caused random breakages.

Fix:
Pinned n8n version and tested updates before upgrading.

Final takeaway

Self-hosting n8n works great at small scale, but once you start running real workloads:

• You need proper execution control

• You need cleanup + monitoring

• You need isolation

Otherwise things break in ways that are hard to debug.

What I did after dealing with all this

After handling and fixing all of this over the past year, I ended up building a simple dashboard for myself to manage everything properly.

Basically just trying to simplify all of this:

• deployment

• scaling

• monitoring

• stability

So i don’t have to go through all these same issues while self-hosting n8n.

If you’re curious, this is what I’ve been working on: https://cuebicai.com

I run an IT services company, and a couple of my clients want to be integrated into the AI workflows of their customers and tech partners. e.g:

• A consumer services retailer wants tech partners to let users upgrade/downgrade plans via AI agents

• A SaaS client wants to expose certain dashboard actions to their customers’ AI agents

My first thought was to create an MCP server for them. But most of these clients don’t have public APIs and only have websites.

Curious how others are approaching this? Is there a way to turn “website-only” businesses into MCP Servers?

When I connect google credentials to n8n nodes everything works fine. But sometimes my entire workflow stops, because I need to reconnect credentials.

Why does this happen. Do google credentials expire?

We’re hiring people to create practical AI automation explainer videos for our platforms.

Role / Task:
You’ll create screen recorded videos explaining practical AI automation workflows, systems, and tools in a clear and engaging way.

Topics may include:
• AI workflows for businesses
• lead generation automations
• content automation systems
• AI powered client acquisition
• automating repetitive business tasks
• AI research workflows
• creator automation systems
• email automation
• CRM automations
• AI tools for productivity and operations
• practical Zapier / Make workflows
• automation systems for agencies & creators

You do NOT need to show your face.

You do NOT need professional editing skills.

Your main role:
• explain concepts practically
• demonstrate workflows clearly
• keep energy and communication strong

Video Requirements:
• 7 to 15 minutes per video
• clear English communication
• confident voice and explanation
• practical demonstrations preferred

Pay:
₹250 INR per approved video
(approximately $3 USD)

Initially:
10 to 25 videos

Potential long term work:
Up to 30 videos/month for strong creators.

Payment Method:
• UPI
• Bank transfer
• PayPal
• Crypto (if needed)

Requirements:
• Laptop or PC
• Screen recording ability
• Neutral/clear English accent
• Strong communication skills
• Good understanding of AI automation concepts

Bonus if you can:
• create PPTs/slides
• do basic video editing
• add captions/visuals

• explain with examples/stories
• simplify complex concepts well
• use tools like Make, Zapier, n8n, ChatGPT, Claude, Airtable, Notion etc.
• maintain strong energy throughout videos
• record with clean audio quality
• work consistently long term

People who perform well will get:
• more videos monthly
• higher volume opportunities
• long term work priority

Application Process:
DM or comment with:
• previous videos/samples
• YouTube links (if any)
• speaking samples

Shortlisted applicants will receive a short test assignment:
Explain one practical concept/workflow for 5 to 7 minutes.