Hey Andrey — this is right in my wheelhouse. I’ve built n8n systems with Supabase vector stores and RAG pipelines for agency clients, including a system that automated lead qualification and client communications for a marketing agency (reduced their ops team from 10 to 4).
Happy to share a workflow screenshot via DM. Still open to applicants? EMail: [email protected] website: https://ajbusiness.framer.website
Hey Andrey — the Agency Partner Engine sounds like a solid setup. Quick question on the RAG piece: are you planning to chunk the PDFs by property listing or by document section? I ask because for real estate queries like “what’s available under 200sqm in Tower B” the chunking strategy makes a big difference in retrieval accuracy.
I’ve built RAG pipelines with Supabase + n8n that handle exactly this kind of structured property data, and I’ve worked with WhatsApp automation for client-facing bots. Happy to walk you through my approach — shoot me an email at [email protected]
Hey! I’ve read your roadmap for the “Agency Partner Engine” — the stack (n8n + Evolution API + Firecrawl) is exactly what I work with. I build production-ready systems where reliability is the priority.
Why I’m a fit for this project:
WhatsApp Automation: Deep experience with Evolution API and WAHA. I know how to handle webhooks and message queuing so nothing gets blocked.
AI & RAG: I’ve built RAG systems within n8n using Supabase/Pinecone vector stores. Making a bot query project PDFs for 24/7 support is a classic use case for me.
Complex n8n Logic: I don’t just “link nodes.” I use sub-workflows for error handling, custom JS for data transformation, and loops that don’t crash.
Data Integrity: I’m comfortable with Airtable/Postgres as a backend to ensure the “Master Sheet” stays in sync with the WhatsApp broadcasts.
Portfolio & Proof: You can check my N8N projects work here: https://mikedevai.netlify.app/
Budget & Partnership: Your MVP budget ($800 - $1,000) works for me. I’m looking for a long-term technical partner, so the “retainer percentage” model for maintenance is perfect.
Telegram: @hely_chatbots
Ready to jump on a call, look at your architectural roadmap, and start wiring the pipes.
Hey Andrey,
I’ve been building AI + automation systems in n8n and your project hits a lot of the same patterns I already have in production.
For the lead enrichment piece - I have a working pipeline that takes company data, runs it through AI for qualification, scores it, and routes to different channels based on priority. Same idea as what you need with agency filtering.
For the WhatsApp RAG part - I haven’t worked with Evolution API specifically, but I’ve built Telegram bots with n8n that do the same thing: user asks a question, bot queries data sources, AI generates an answer, sends it back. WhatsApp is a different transport layer but the architecture is identical.
I also work with Airtable/Google Sheets regularly and run self-hosted n8n on Docker.
What I’d suggest: let’s start with one workflow (probably the lead enrichment since that’s most similar to what I already have), I’ll build it, you test it with real data, and if it works well we continue with the rest.
Email: [email protected]
Happy to discuss via DM or Telegram: @antongoloskokov
Helloooo Andrey,
Following up on my earlier reply — still interested in helping build that Agency Partner Engine. I specialize in n8n workflows for lead gen, CRM integrations, and AI-powered automations.
Let me know if you’d like to chat through the scope — happy to share some examples of what I can put together for you.
Hi @Andrey_Startsev,
I can help you deliver to your clients. I build production n8n workflows daily – from lead gen pipelines to AI agent systems, CRM integrations, and data processing.
What I can deliver quickly:
I work fast, deliver clean documented workflows, and can scale to handle multiple client projects in parallel.
Happy to discuss your pipeline and see where I can jump in. DM me with details on your current client queue.
Hi — this fits my background well. I build production-grade n8n systems for extraction, normalization, validation, and unattended operation.