You know the drill. A new financing assignment lands and the first step is a messy sweep of who might quote. Spreadsheets start from old deals, contacts are half current, and you still need to sanity check proceeds and terms before you pick up the phone. The friction is not finding lenders. It is deciding who fits this deal, in what order to call them, and having enough detail to avoid dead ends. That is where the time goes. Sourcing ~30 min to run Build a Ranked Target List of Prospective Lenders Vic prompt Use Vic to build a ranked list of prospective lenders for a 180-unit multifamily refinance, with contacts and indicative terms. Purpose A human analyst needs roughly 240 minutes to compile and vet the same list; this task completes it in about 30 minutes and surfaces lenders most likely to quote. Inputs Deal Summary Required Financing Request Required Underwriting Optional Current Debt Optional Sponsor Profile Optional Timeline Optional Target Count Optional Outputs An Excel file with one row per lender, sorted by fit, plus a cover summary of sizing and outreach order. Time saved Turns roughly four hours of manual work into about thirty minutes. How it works You give Vic the basics you already have: a deal summary and the financing request. If you have them, add underwriting, current debt, sponsor profile, timeline, and a target count. Vic uses that to build a lender universe matched to the property and loan type, whether acquisition, refinance, senior, mezzanine, bridge, or construction. The run is simple: Use Vic to build a ranked list of prospective lenders for a 180-unit multifamily refinance, with contacts and indicative terms. You get an Excel file with one row per lender, sorted by fit. Each row has the lender name and category, a fit score, and how the deal lines up on loan size and recourse. It also includes indicative proceeds and terms so you can pressure test the story before outreach. The sheet has a website, phone number, and a named contact, so you can use it right away. At the top is a short cover note. It sums up deal sizing, the lender profile that makes sense, and a recommended outreach sequence. That sequence matters. Start with groups most likely to quote, then work down the list without wasting time. This replaces the manual loop most teams run: pulling prior comps, scanning lender boxes, checking contacts, and building a list that still needs pruning. A human analyst will spend about 240 minutes to compile and vet the same list. This task does it in about 30 minutes and keeps the focus on lenders that fit the deal. There is a practical benefit beyond speed. The list is consistent. Fit is scored the same way across lenders, which makes tradeoffs clear. If you need higher proceeds, you can see which lenders stretch. If recourse is sensitive, you can move those rows up or down with a clear rationale. It is easier to explain your call plan to a client or IC when the list looks like this. Use it at the start of an assignment, or to reset a process that has drifted. The output is ready to send to your team and ready to dial from. No cleanup step.