Cap two SDRs against an entire region, hire two more. That gets you four people doing the same manual work, with the same attention ceiling and the same blindness to ephemeral signals. Doubling a constraint doesn't remove it.

The other instinct is to buy. A SaaS outbound tool, an off-the-shelf intent platform, an AI SDR. Those solve the volume problem but miss the harder one. The signals that actually convert for Backstage, a CTO posting about hiring, a new role appearing on a job board, are public for hours, not days, and no off-the-shelf vendor monitors them with the freshness or filtering precision the pitch requires. Generic outbound at scale would have produced more email volume against worse-timed accounts.

So we made the strategic call to flip the funnel. Instead of SDRs hunting for who might be hiring, the system would catch hiring signals the moment they went public and route them to the SDRs fully enriched. Same SDRs, completely different leverage.

The build was sequenced over three phases for a specific reason. Phase one had to prove the signals were real and harvestable before we built scoring on top of them. Phase two had to prove the scoring was directionally right before we wired it into outbound. Phase three had to put the whole engine in the hands of non-engineering operators, because a system the founders can't run themselves is a system that fails the moment we stop being in the room. Each phase de-risked the next.

The bet underneath all of it: the difference between catching a hiring signal in hours and catching it in days is the entire commercial advantage. Build the engine that compresses that window, and the same two-person sales team becomes structurally more leveraged than a competitor running a larger BDR motion manually.