CTO / Senior Technical Partner — AI Automotive Platform Company: Crowdsnare / Rev-AI Location: Remote / Hybrid potential Type: Early-stage growth opportunity Compensation: Equity / cap table participation opportunity; cash compensation structure to be discussed as the company scales Industry: AI, SaaS, Automotive, Sales Automation About Us Crowdsnare / Rev-AI is building an AI-driven sales and follow-up platform designed to help automotive businesses convert more opportunities, reactivate dead leads, and improve customer engagement through intelligent automation. The core technology is already built and ready to scale. We are currently preparing for major growth through strategic automotive partnerships, including opportunities connected to LAR — Leader Auto Resources — and Stellantis. LAR: https://www.larnet.com/en (3321 Dealers) Stellantis: https://www.stellantis.com/en (3642 Dealers) Ford Direct: https://www.forddirect.com/ (3442 Dealers) Shift Digital: https://www.shiftdigital.com/ (12,398 Dealers) We are now looking for a senior technical leader who can help us move from a built product to a scalable, enterprise-ready system. The Opportunity This is not an entry-level developer role. We are looking for a CTO-type operator who can step into an existing technology environment, understand what has already been built, improve the architecture, and help prepare the platform for large-scale deployment. The right person is not simply looking for a job. They are looking for a high-upside opportunity where they can bring technical leadership, systemization, AI expertise, and product thinking into a company with real market traction and major partnership potential. What You’ll Help Build You will help lead the technical side of an AI platform built for sales automation, lead follow-up, customer reactivation, and operational scalability in the automotive space.

Hi everyone, this is Fatima (KB). I’m currently building an AI voice agent for HVAC businesses using Retell AI, and I’d really appreciate some clear guidance from people who have real-world experience. My situation: - I understand the basics of Retell AI, n8n, and Make.com - I’ve already built a simple working voice agent - But I’m confused about how to structure it properly for real clients - Different YouTube tutorials suggest completely different approaches, which is slowing me down What I need help with: 1. Architecture - Should I focus more on a strong system prompt or build a structured conversational flow? - What’s the best way to handle real HVAC calls (bookings, inquiries, emergencies)? 2. Tech Stack - What tools are actually necessary to start selling this service? - When should I use Retell alone vs integrating n8n or Make.com? - Do I need a CRM or database from the beginning? 3. Real Business Setup - What is the minimum setup needed to start getting HVAC clients? - What features do HVAC business owners actually care about most? 4. Workflow - What should the full workflow look like from incoming call → AI handling → lead storage → follow-up? 5. Scaling - Once I get my first 5–10 clients, what should I improve or automate next? I’m trying to avoid overcomplicating things and just want a simple, practical roadmap focused on selling and delivering results. I’d be really grateful for any advice or real experiences you can share.

Im an owner of Ohio Ark Insurance and founder of Agecny Accel. In 2024 we started down the path to build an API engine that communicated between our CRM partners (KEAP and Active Campagin) and d Xanatek Connects AMS . This was built. however due to swift developments with AI we are now working on a project that eliminates bloated CRM packages, replacing with lite CRM and Agentic AI (with the exception of Leadin pipeline and workflows) performing most of the workflow functionality . We created all the requirements in Claude, which then created a prompt we will use to start the scaffolding process in GitHub/Claude Code. We're seeking someone who can assist with building out this CRM and has an interest in holding a small ownership interest in our AI Tech Consulting Agency for P&C Agents. Please respond back to awesen@ohioarkinsurance.com with Claude CRM in the subject line

We run a startup and we've been using Obsidian as our company knowledge base. Great tool but there's one big gap, no security. Everyone with vault access sees everything. API keys, strategy docs, client info, all wide open. And when you connect AI tools they burn through tokens reading raw markdown with all the noise. We ended up building a plugin called VaultGuard that adds encryption and access control to Obsidian. Built it for ourselves first, now we are testing it. If anyone else ran into this, how do you handle sensitive info when sharing an Obsidian vault with your team? And if you're interested in VaultGuard let us know, we'd love to hear your feedback.

Hey everyone! I'm Zain, based in Birmingham UK. I run an AI receptionist service called Never Miss The Call. I've just built an AI receptionist called Lexi using Vapi for a sports therapy clinic — she's fully live and taking calls through Vonage. The one thing I'm stuck on is the Make.com SMS automation. When a call ends, I want Make.com to send the business owner a clean summary SMS with the caller's name, service requested, preferred day and time, and contact number. Has anyone done this before or does anyone have any video suggestions that show how to set this up? Any help would be massively appreciated! 🙏