Anyone joining the Qdrant Global Virtual Hackathon? ​I’m looking to form a team to build something cool with vector search and agentic workflows. ​Who’s up for it? Let’s connect and build! 👇

Hey everyone, Got a client in the B2B professional services space. They've given me a detailed ICP — specific industries, company sizes, geographies, and the exact personas/job titles they want to target (think Owners, Principals, Directors of Engineering, Solo consultants, Project Managers — that kind of decision-maker level). They want those leads automatically scraped and loaded into their CRM with these fields populated: Company name, website, company size, primary service domain, key contact name, contact title, email address, LinkedIn profile URL, phone number, qualification score, current status, and notes. They've specifically suggested using **LinkedIn Sales Navigator, Apollo.io, Lusha, and UpLead** as the tools to get this data. My questions: 1. Pipeline — how would you structure this? Given those four tools, what's the most sensible way to chain them together? Do you use one as primary and the others as fallback when data is missing, or do you run them in parallel? What does the actual flow look like from "search for contacts matching ICP" to "contact sitting in CRM with all fields filled"? 2. Monthly cost — how do I estimate this for the client? This is where I'm stuck. The client will be paying for the tools directly once I deploy. How do I give them a realistic monthly running cost? Each tool has its own credit system and the actual spend depends on how many contacts you're pulling and how many fields you need revealed. Has anyone worked out a rough cost-per-lead across these tools? Even a ballpark would help — like "for X leads a month expect to spend around $Y across these tools." Any input from people who've worked with these tools appreciated.