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: ajbusinessintelligence@gmail.com 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 iamkenjobs@gmail.com
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: antongoloskokov3@gmail.com
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.
Hi Andrey,
This is aligned with what I am building and the kind of workflow architecture I can support.
For your Agency Partner Engine, I would structure it in three stable layers:
Lead enrichment: Firecrawl/Apify intake → normalized agency profile → GPT-4o structured qualification → Airtable/Postgres sync, with review flags.
WhatsApp RAG concierge: PDF/Sheet ingestion → vector store such as Supabase pgvector or Qdrant → guarded retrieval with source context → WhatsApp via Evolution API/WABA → human escalation when confidence is low.
Mindshare Pulse: scheduled inventory sync → approval step → batched WhatsApp broadcast with rate-limit control, retries and execution logs.
Here is a screenshot of a complex workflow architecture I built around multi-channel intake, validation, lead qualification, AI decision routing, scheduling, missing-data handling and human escalation:
I am based in Spain, available for remote async work, and comfortable starting with an MVP in the budget range you mentioned.
Reach me at: jorgelg1177@gmail.com
Hey Andrey
I was working with a real estate client last time and I made him a complete dashboard of the entire process from listings to buying and revenue generated and all that stuff. This is quite similar like the one i created. Lets discuss it!
Hi,
This sounds like the kind of collaboration I’m looking for.
I can help with behind-the-scenes implementation for client automation projects: n8n workflows, API integrations, OpenAI/Claude logic, Google Sheets/Airtable/CRM syncs, Telegram/Discord bots, scrapers and simple dashboards.
Best fit for me is project-based delivery where you handle the client relationship and I help ship the technical work.
For a first step, I’d suggest starting with one small client workflow so we can test speed, communication and handoff quality.
Hi,
This is an impressive and well-specified build — and I’ve built all the components you’ve described.
On your three core workflows:
Lead Enrichment & Research:
I use n8n + Apify + Claude (not GPT-4o, but equivalent structured extraction) for agency/company qualification from websites. The pattern — scrape → AI filter → sync to Airtable — is something I’ve shipped for a GTM consultancy. Happy to swap Apify for Firecrawl if you prefer.
WhatsApp Agent Concierge (RAG):
I have a live WhatsApp chatbot in production using WhatsApp Business API + n8n webhook handling. Adding RAG over PDFs and Google Sheets is a Claude + pgvector (or Pinecone) layer I’ve implemented before. Evolution API or WABA both work.
Mindshare Pulse (weekly broadcast):
n8n scheduled trigger → Google Sheets read → WhatsApp broadcast via WABA API. I have this pattern running for a different client already.
I work with confirmed clients’ budgets and tight delivery requirements — exactly the “technical partner to wire the pipes” model you’re describing.
Available immediately. narotsuhail@gmail.com or DM here.
— Suhail Narot | Fajr AI | fajrai.net
Hi Andrey — this maps well to a phased n8n build rather than one huge fragile workflow.
I’d split the first paid scope into: agency enrichment → Airtable qualification table → one WhatsApp/RAG concierge path using a small PDF/Sheet knowledge set → logging/error alerts. After that, the weekly inventory broadcast can be added with opt-out and rate-limit safeguards.
For reliability I’d use sub-workflows, explicit retry/error branches, source links for AI outputs, and a simple handoff doc so you can repeat it for the next developer/client.
Happy to help with a small paid vertical slice first.
Contact: travisofwork@gmail.com
This is exactly the kind of setup I’m looking for. I specialize in n8n automation and have real delivery experience — I recently built out a full property and vendor management automation system for an interior purchasing business, covering appointment scheduling, invoice tracking, and vendor follow-ups.
I’m comfortable taking on client work independently and delivering reliably. If you’ve got clients who need AI workflow automation built, I’d like to be your go-to for execution.
Happy to jump on a quick call to see if we’re a fit. Feel free to DM me.
Hi Andrey - the Agency Partner Engine is well-scoped and I can deliver all three workflows.
Lead Enrichment: I have built Firecrawl and Apify scraping pipelines that feed AI qualification steps before syncing clean records to Airtable. The key is error handling at each stage so bad scrapes do not corrupt the downstream data. I use Claude for cost-efficient qualification filtering at scale.
WhatsApp RAG Concierge: I have built RAG bots using n8n’s vector store nodes including PDF ingestion, chunking, embedding, and query handling via WhatsApp webhook. Evolution API works well as the interface layer. The main design consideration is chunking strategy for PDFs with tables like pricing sheets.
Mindshare Pulse: Scheduled broadcast from a master sheet is straightforward. The reliability challenge is idempotency so re-runs do not send duplicates to the same agency. I would build that in from day one.
n8n architecture: I work with error-handling subflows, retry logic, and modular subworkflow patterns. I would own reliability decisions, not just wire the pipes.
Contact: narotsuhail@gmail.com
Hi Andrey. This looks like a serious n8n/RAG build, but I would not start with broad scraping or broadcasting.
A safer paid first module would be one broker-facing WhatsApp/WABA or web-chat query path against approved PDFs/Sheets: document ingestion, retrieval, answer with source traceability, fallback to human handoff, error log, and setup notes. After that, lead enrichment can be evaluated separately only with lawful sources and clear outreach rules.
The $800-1000 MVP range can work if the first milestone is one module, not the whole engine. If useful, share the roadmap and I can scope that first module.
Hi Andrey. I can help with this as a production n8n and API build, but I would not start by wiring the whole Agency Partner Engine at once. A good first paid slice is one redacted lead source to qualification rules to Airtable sync with dedupe and error logging, or one WhatsApp RAG path with sample PDFs and human approval. I work on backend/API, CRM workflows, LLM extraction, n8n flows, and operational handoff. Which slice has the confirmed client pressure right now: agency lead enrichment or WhatsApp concierge?
