Left — the initial research database: Rank, gates, and valuation marks, frozen exactly as provided. Right — the SearchLoop overlay: live LinkedIn headcount, verified revenue, and two scores the database has nowhere — Suitability (is a SPAC the right vehicle?) and Motivation (reason to act now?). Adjust our revenue or the multiple and the implied valuation moves with it. Every figure carries its source.
Two axes, each 0–5; higher = a stronger SPAC candidate. They sit beside — and never overwrite — the database's own Rank (which scores size fit + acquirable structure). Rows the database already sets aside (off-board, or token-entangled with no acquirable equity) are shown but not re-scored.
Mean of two sub-scores: capital_pressure (capital intensity × burn × runway) and underwritability_gap (would a conventional IPO price this cleanly?).
Scored off live signals: vintage clock, mark divergence (a stale ZIRP mark = down-round risk = seller motivation), distress, and the absence of a captive IPO path.