LiveBeaconPath HoldingsDesigned and operating

Acquisition Deal Pipeline & Target Database

01

The problem

Acquisition deal flow arrives from brokers, marketplace listings, and direct outreach at once, every target at a different diligence stage with its own financials and seller conversations. A spreadsheet collapses around thirty targets.

02

What I built

A structured relational pipeline across Notion and Airtable — target records carrying revenue, SDE, asking price, implied multiple, industry, source, diligence stage, seller contact history, and next action, with filtered views by stage and by fit against a defined acquisition thesis. Feeds the Streamlit analyzer for financial screening.

03

What changed

Turned scattered deal flow into a managed pipeline with a repeatable screening standard, so no target stalls silently.

Stack

NotionAirtableRelational database designPythonStreamlit