I am an automation engineer with 2+ of experience on n8n and 5+ using Python. Could you please share more details about the job position? I just sent you a DM.
I’m Muhammad Bin Zohaib — a passionate AI & Web Solutions Specialist, Full-Stack Developer, and Certified n8n Developer (Level 1 & 2).
I specialize in building AI automations, data pipelines, and workflow systems using n8n, ChatGPT, Claude, Airtable, HubSpot, and various APIs. I’ve successfully delivered automation and AI projects for clients in Canada, Greece, Singapore, Australia, Germany, and the UK — helping them save time, scale operations, and boost efficiency.
We are a team of experienced developers who are engaged in simple as well as comples automation on daily basis. We can provide you freelancers who can work-with you on full-time bases with flexible hours.
Here are the link you can connect with me - upwork , linkedIn or Mail, we can on any of the platform that suits you the best.
Hey, I’m an automation expert and I can help you build & run n8n/AI workflows, automate sourcing, CRM, and data tasks (check the links for relevant work) and integrate AI agents, APIs, and CRMs, you can find out so by taking a look to those similar projects:
I got you, I have been building all forms of automations for the past 2 years and have built 100s of flows for my clients. Have worked with all sorts of companies and gotten them 10s of thousands in revenue or savings by strategic flows. When you decide to work with me, not only will I build this flow out, but also give you a free consultation like I have for all my clients that led to these revenue jumps.
I have built a similar workflow like this for one of my clients. I can not only share that but also how you can streamline processes in your company for faster operations. All this with no strings attached on our first call.
Here, have a look at my website and you can book a call with me there!
Hey Limor, I see you need someone to build n8n/AI workflows that automate sourcing, CRM operations, and data tasks for your VC fund.
I have built a VC-funded company intelligence automation that scrapes funding announcements, extracts CEO/cofounder data with LinkedIn profiles, and outputs structured datasets ready for outreach, similar to what you are looking to build.
I have completed 120+ automation projects involving AI agents, API integrations, and CRM workflows. Here is my portfolio: Portfolio
Quick question: What is your current deal flow volume - are we talking dozens or hundreds of companies being tracked monthly?
Here is my calendar link if you would like to chat further: Calendly
If this is still open, I would keep the first build very narrow:
one sourcing or CRM source → AI-assisted enrichment/summary → Airtable or CRM review queue + source/error ledger
That tests the part VC internal tools usually need before scale: AI output stays tied to source evidence, low-confidence or missing-field rows get blocked, and every accepted row can be audited.
I work async and fixed-scope. If a written proof path helps, send the first source system, the target Airtable or CRM shape, and one redacted sample record. I can scope the first internal-tool workflow in writing before any sensitive data is shared.
Builders over buzzwords is exactly my preference too, so I’ll be direct.
I build n8n workflows with Claude and ChatGPT integrations that handle real operational load. Not demos. I come from a manufacturing background so my default is: does it run reliably at 3am with no one watching, and can someone else understand it when I’m not around.
For a VC running internal tools, the use cases you listed are all familiar territory for me:
Sourcing automation with n8n pulling from APIs, enriching with AI, and pushing into Airtable is something I have running in production. Deal flow tracking and CRM update workflows with conditional logic and error handling are a good fit for what I do.
AI agent workflows using Claude and GPT with structured outputs and tool calls in n8n I build regularly. I can hook these into your existing Airtable schema without restructuring what you already have.
API integrations across CRMs and data sources I handle end to end including auth, pagination, rate limiting, and retry logic.
I’m available for freelance remote work and I prefer flexible ongoing arrangements over fixed sprints.
If this is still open: what does your current n8n setup look like, self-hosted or cloud, and are you running Claude via API directly or through a wrapper?
Hi — if this is still open, I’d keep the first build narrow and measurable.
A useful pilot could be: one source/CRM trigger → AI-assisted enrichment or summary → Airtable/CRM review queue → error/source ledger. That proves the workflow is reliable before scaling into bigger AI automation.
I can help scope a fixed first milestone and document the handoff so it’s maintainable.
This is exactly my stack — n8n, Claude, ChatGPT, Airtable, and building practical workflows that automate real work rather than demos.
I run Fajr AI, an AI automation consultancy. Current live systems include a 31-agent BI platform, a lead gen pipeline (n8n + Claude + Apollo), a Meta DM chatbot, and a Telegram-to-invoice workflow for field services.
For a VC, the obvious wins are: sourcing automation (monitor LinkedIn/Crunchbase for companies matching your thesis), CRM enrichment (auto-enrich new contacts from multiple sources), and deal pipeline automation (classify inbound, route to partners, trigger follow-ups).
Happy to jump in — your stack (n8n, Claude, ChatGPT, Airtable) is exactly what I work in day-to-day. I build AI-powered internal tools and automation pipelines for business teams: sourcing workflows, CRM enrichment, AI agent orchestration, API integrations. Builder, not a buzzword person. DM me and let’s talk specifics.
I build practical n8n/API/AI workflow systems where the important part is not only connecting nodes, but making the process maintainable: clear data inputs, retries, logging, human review where needed, and documentation so the team can extend it later.
For a VC/internal-tools setup I would start with one bounded paid workflow slice: source intake → enrichment/classification → CRM or Airtable update → review queue → status/reporting. Once that works reliably, the same pattern can be reused for sourcing, portfolio tracking, and internal research workflows.
My background is backend/API work, CRM/admin systems, n8n/Make-style automation, OpenAI/Claude workflow steps, Playwright checks, and production handoff notes.
If this is still active, send one workflow you want built first and I can propose a small first milestone.
I’m interested in the n8n + AI Workflow Builder role. I build practical AI automation workflows for lead qualification, sourcing/research, WhatsApp/customer replies, ecommerce operations, dashboards, outreach, and internal tools.
My work combines AI tools like ChatGPT, Claude, and Gemini with JavaScript/Python, app interfaces, dashboards, and business operations experience in ecommerce and real-estate sales.
Hi! This is right in my wheelhouse — I build and run production n8n/AI workflows end-to-end.
Directly relevant to what you need:
n8n + AI workflows: self-hosted n8n (Docker, queue mode), custom JS Code nodes, LangChain agents, working with Claude / OpenAI / Gemini.
Sourcing & data automation: built an HR/sourcing agent (candidate screening by criteria, form collection, structured handoff) and B2B data scraping/collection from open sources.
CRM & API integrations: amoCRM, Bitrix24, Airtable, Google APIs, REST/Webhooks, OAuth2 — with idempotency (no duplicate records).
AI agents: multi-agent system of 8 connected agents with intent classification and task routing across functions.
30+ AI/automation solutions shipped in production over the past year. Builder mindset — give me the goal, I design and ship it.
Remote and flexible hours work for me. Happy to discuss scope and rate, and walk through relevant builds on a call.
Limor, I’m Misha — an n8n and AI automation developer who builds exactly what you described. I’d wire up n8n to connect Claude and ChatGPT for sourcing and CRM data tasks, integrate Airtable as the structured layer, and add AI agents that route, enrich, or qualify leads without manual babysitting. I keep workflows reliable with retries, validation logging, and clean error handling, so internal tools stay solid under real use. This is the kind of build I ship for VCs who need fast automation without fluff. Portfolio: https://mikedevai.netlify.app/ | Telegram: Telegram: Contact @hely_chatbots | WhatsApp: +375293761570
I can take a look if this is still open. The mix of n8n, AI workflows, Airtable/CRM data, API integrations, retries, and clean handoff notes fits the kind of backend/automation work I do.
If useful, send one current workflow or internal tool you want to build first: what systems are already in place, what needs to work, and what outcome would make the first version useful. I can then suggest the simplest build order.
I came across your post about the n8n + AI Workflow Builder role. I’m a final-year Computer Science student with hands-on experience building AI workflow automations using n8n, HubSpot CRM, APIs, and LLMs. I’ve built projects including AI customer support (RAG), Shopify abandoned cart automation, and AI lead processing.
I’d love to learn more about the role and see if I’d be a good fit. I’m happy to share my portfolio.