Show IH: LeadMatch — we tell sales teams which rep should take each lead (based on their own win history)

Hey IH! I'm building LeadMatch — a HubSpot tool that tells sales teams which rep should take each new lead, based on their own closed-deal history.

The origin story: I used to do this by hand. Google Sheets, a wall of formulas, closed deals recomputed every week, manually assigning every new lead to whoever historically closed that type best. Just industry and deal size. Hellish process, but it took our conversion from 1.5% to 7.7% with the same team.

So I built the tool I wished existed:
- It learns each rep's win rates per lead attribute (industry, geo, company size) from your closed HubSpot deals
- When a deal gets qualified, it posts a top-3 rep recommendation with the math fully visible — no AI black box, just auditable statistics
- Recommendation-only: it never reassigns anything on its own. One-click Assign if a human agrees
- Optional notes in the deal timeline with per-rep booking links, weekly auto-refresh, multi-pipeline support

On our out-of-sample backtest (5,301 deals), best-fit rep matching meant 3-8x conversion vs. average assignment.

Where we are: live product, one team using it daily, and we're looking for early users. Early access is free and stays free for early adopters. If you know a HubSpot sales team (5-15 reps) that routes leads by hand — I'd genuinely value the intro, and I'm building around real user feedback.