I’m curious from anyone who build actually production ready n8n solutions what auth solutions do you use?
Do you just use simple Clerk?
Are they SSO/IAM?
Are they multi tenant or Single Tenant?
Do you use RBAC auth?
If you’re doing repetitive work in a browser, there’s probably a way to automate it.
I build small tools and scripts using Python, Playwright, Selenium, and APIs to scrape data, fill forms, extract leads, or handle repetitive workflows end-to-end. If it’s something you’re doing over and over again, I can likely turn it into a one-click process.
I’ve worked on things like pulling data from directories, automating reports, and handling routine tasks that normally take hours.
If you have something in mind, comment or message me with what you’re trying to do. I’ll tell you honestly if it can be automated and how I’d approach it.
👉 Apify Actor: AI Image Generator - Text to Image by Akash Kumar Naik
What it does:
Good use cases:
• Social media creatives
• Product mockups
• Blog thumbnails
• Ad creatives
• Pinterest pins
• YouTube thumbnails
• Automated content pipelines
What I like:
Most “text-to-image” tools are built for manual use.
This one is better if you want automation inside:
n8n / Make / Zapier / backend workflows / bulk generation pipelines.
Especially useful for people building SaaS tools, content automation systems, or AI marketing workflows.
Has anyone here tested it for production-scale generation?
Would love to know:
Link: Check Actor
Curious how people are using AI image generation inside real automations, not just for one-off prompts.
Still guessing hashtags on TikTok? That’s why your reach is stuck.
This tool pulls real-time trending hashtags directly from TikTok Creative Center — so you can catch trends early instead of copying them late.
👉 https://apify.com/akash9078/tiktok-trending-hashtags-scraper
🔥 What you get:
• Top 100 trending hashtags
• Views, post count & engagement data
• Trend movement (rising/falling)
• Filters by country, niche & timeframe
💡 Perfect for:
Creators • Marketers • Agencies • Builders
Most people use hashtags after they go viral.
This helps you use them while they’re going viral.
That’s the difference between:
500 views vs 500K views.
⚡ Bonus:
• API ready (plug into automations)
• Clean JSON output
• Super low cost to run
If you’re serious about TikTok growth, this saves hours of manual research.
Try it 👇
https://apify.com/akash9078/tiktok-trending-hashtags-scraper
Hey folks,
Supabase free-tier projects pause after ~7 days of inactivity. I have a bunch of side projects and client demos running on free tier and I kept losing track of which ones were napping.
So I built SupaPing - a small, open-source n8n workflow:
What I like about the approach:
README has the SQL to create the keepalive table and RLS policy, plus import steps.
MIT-licensed. Ideas, issues, PRs all welcome — especially more notification channels (Slack/Discord/Telegram) and non-Google-Sheets sources.
👉 GitHub: https://github.com/buzz39/SupaPing-n8n
If you've solved this differently (cron + curl, GitHub Actions, edge function, etc.), curious to hear your approach.
I think most AI tools are overhyped… but Kie AI caught me off guard.
Tried it expecting the usual mess — slow APIs, complicated setup, unnecessary features.
Instead:
→ Fast responses
→ Clean, simple integration
→ Actually usable for real projects
No fluff. Just works.
Feels like one of those tools that hasn’t blown up yet but probably will.
If you're building anything with AI right now, you might want to try it before everyone else does.
Curious — what AI tools are you actually using in production?
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Visit KIE AI
Hi I built a self hosted dashboards platform in PayloadCMS that can sync with multiple n8n APIs. Please try it out and feel free to post any issues on GitHub. Using it to review tables from multiple instances on mobile.
They’re seeing around 300 trials per week, yet it’s taking several days to add $1k in MRR.
That usually points to something deeper than acquisition.
At this stage, it starts looking like a churn/retention issue:
More trials alone won’t move the needle if users aren’t sticking.
This seems like one of those moments where growth doesn’t come from scaling harder, but from understanding why users leave.
Curious how others here would approach this:
What tends to make the biggest impact at this stage — onboarding, activation, pricing, or going deeper on the core product?
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Try postiz
I know you might think I'm overcharging. I thought so too at first. But then a restaurant client of mine had 300 plus unanswered Google reviews sitting publicly. Including a 2 star complaint about a hygiene issue from 8 months ago with zero response from the brand. That review alone was costing them tables every single week. The web app I built handles everything in one place. Customers get a private feedback link after their visit. Low ratings stay internal so the owner can fix it before it goes public. High ratings get routed straight to Google. Every new review gets an AI drafted reply that the owner approves in one click. Serious complaints get flagged immediately. That client went from a 3 percent reply rate to 100 percent in 30 days. Went from 3.8 to 4.1 stars in 6 weeks. One recovered corporate account alone covered the entire cost in the first month. I am not charging for build time. I am charging for what it fixes. The ROI makes $1200 look like a rounding error.