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