Next week we’re launching our course on Lovable—the fastest way to build powerful custom SaaS for your business. Here are 3 practical ways Lovable can immediately benefit you: 1️⃣ Replace Costly SaaS Apps Stop wasting thousands of dollars monthly on expensive SaaS subscriptions. With Lovable, you can build your own custom apps (even adding powerful AI features!) to replace costly tools like DocuSign, Salesforce, Typeform, and more—saving serious money. 🔗 Real-life example of DocuSign replacement 2️⃣ Unify Multiple Data Sources Most companies struggle with scattered data across multiple apps—CRM, Airtable, Stripe, Facebook Ads. With Lovable, you can quickly build tailored dashboards integrating all these sources, providing clear insights and seamless end-to-end analytics. Example Use Case: • Airbnb Rental Business Dashboard: Integrate data from Airbnb bookings, Airtable (property management), HubSpot CRM (guest communications), Stripe (payments), and Facebook Ads to visualize your entire business clearly. 3️⃣ Customize & Automate User Experiences Still manually prompting GPT and copying data around? Lovable paired with automation (like N8N) simplifies and automates these repetitive tasks. Example Use Case: • HR Agency Workflow: Automatically gather client requirements, generate tailored job descriptions with GPT, match candidate CVs, and deliver results—fully automated, no manual hassle. ___ Excited to dive deeper next week! Which of these ideas would help your business most? Let me know in the comments! 👇 👉 Don’t want to wait? We already have a step-by-step guide showing how to go from idea to deploying a real product using Lovable - attached to the post.

We’re building the most comprehensive and actionable course on Lovable – and it’s dropping next week inside our paid community. This won’t be just theory. It’s built from real use cases, actual client projects, and the things we wish existed when we started. 💡 Here’s what we’ll cover: • Figma Import & fast prototyping • Development tricks: prompting, bug fixing, and UX best practices • Full integration with Supabase • End-to-end workflows with N8N • GitHub integration for version control • Connecting a custom domain • Editing your Lovable project with Cursor • Addons & best JS libraries to supercharge your UI • Planning, testing, and scaling using proper docs & structure Before we lock it in, I want to hear from you: 🗳️ What’s Missing From This Lovable Course? Your feedback helps shape what we build. Let me know 👇

If you’re in this community, you already see the power of AI—you’ve either started using it or are actively looking for ways to implement more automation. But taking AI to the next level isn’t always straightforward. I’ve seen this pattern with many businesses: they get their first AI workflows running, see amazing results, but then… they hit roadblocks. Scaling AI beyond the basics requires deeper integration, better data, and a clear strategy. So I’m curious - what’s the biggest challenge stopping you from scaling AI further? 1️⃣ Too many tools, not enough integration – Struggling to connect AI systems or automate across platforms. 2️⃣ AI isn’t delivering the expected results – Not getting the accuracy, efficiency, or impact you hoped for. 3️⃣ Lack of AI-skilled team members – Need more in-house expertise or better training for employees. 4️⃣ Time constraints & operational bottlenecks – No time to research, optimize, or expand AI solutions further. 5️⃣ Unclear strategy for scaling AI – Unsure what to automate next or how to get the most ROI from AI. 6️⃣ Data quality & accessibility issues – AI relies on good data, but messy, incomplete, or siloed data is causing problems. 7️⃣ AI costs keep increasing – Scaling AI is getting expensive due to computing, licensing, or consulting fees. Drop your vote & leave a comment if you have other challenges 🚀

⚠️ Link to guide and templates Content creation is a huge topic in our community, and many members have shown interest in AI-powered image generation. We’ve all seen different setups for training LoRA models through web interfaces, but what happens when you want to scale? Recently, a client approached us with a challenge: build an app like Photo.AI—a platform that allows users to train custom LoRAs and generate images on demand. Since our focus is usually business process automation, we took a deep dive into this space and found a way to train and generate images via API, making the entire process scalable. 🛠️ How We Built It To keep things flexible and efficient, we used: ✅ n8n – To automate workflows and API calls ✅ Airtable – As a user-friendly interface for text prompts ✅ Replicate – For LoRA training & image generation ✅ Google Cloud – For complex backend logic ✅ Supabase – For storage & processing With this setup, users can train their own LoRA models and generate images in any style—all through simple API calls. Instead of manually running training sessions, everything is automated, making it easy to scale the platform for multiple users. 🔍 Why This Matters This approach isn’t just for one-off image generation—it’s a fully automated pipeline that lets you: • Train custom LoRAs for different users or projects. • Generate images at scale without relying on complex web interfaces. • Integrate AI-generated visuals into any business or creative workflow. This was a fascinating project that pushed us beyond our usual automation work, and we’re excited to explore more in content generation automation. 🗣️ Would you be interested in more guides on automating content creation—image generation, video, or even AI-powered copywriting? Let us know in the comments! 🚀

As I'm in Central Europe, here we have strict regulations and my business customers a scared about them. So Data Privacy, EU AI Act and GDPR are the biggest hurdles. So we should avoid non-EU software and hosts. So, anyone her who is hosting n8n and maybe Postgres using EU Provider but not as baremetal/IaaS? Any ideas appreciated!