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For Accelerator program scouts
Identify program-fit founders three months before they apply.
Accelerator and incubator programs compete for the same pool of high-potential founders, and the best programs proactively recruit founders rather than waiting for applications. Engineering acceleration is one of the strongest leading indicators that a founder is approaching the moment when accelerator participation becomes attractive — they have shipped something credible but not yet raised an institutional round.
Pre-application identification window
3-6 weeks
Filtered weekly signals at pre-seed/seed
5-15
Cost vs alternative scouting tools
Fraction of enterprise scouting
Problem
Most accelerator scouting is reactive: review applications, reach out to obvious-fit founders in networks, hope for the best. Proactive scouting at scale requires a signal that fires at the right moment in the founder's arc — early enough to influence the application decision, but late enough that the founder has demonstrable traction.
How VC Deal Flow Signal fits
VC Deal Flow Signal surfaces pre-seed and seed-stage engineering acceleration across 20 sectors. Scouts filter to the stage and sectors their program targets, identify breakout teams that have not yet raised institutional capital, and reach out with program fit. The three to six week lead time vs Crunchbase means scouts can engage founders during the decision window, not after.
Most accelerator programs target the pre-seed to seed transition. Filter to that stage and your program's sectors of focus.
Cross-reference filtered signals against Crunchbase to identify teams that show engineering acceleration but have not announced a round. These are the program-fit candidates.
Acknowledge their engineering pace, share what your program offers, and invite them to apply. Conversion rates from this kind of warm proactive outreach run materially higher than passive application funnels.
After cohorts complete, check engineering acceleration trajectories of program participants vs counterfactual non-participants. Useful for program-level outcome reporting and program iteration.
Once a startup graduates the program, the same engineering acceleration signal becomes a portfolio monitoring tool — useful for the program's network of mentor investors.
No, it complements it. Most programs combine inbound applications with proactive scouting. Engineering acceleration strengthens the proactive layer — applications still capture founders without significant public engineering activity.
Down to teams of 1 to 3 contributors with sustained activity. Pre-seed signals require human review and the +200% threshold rather than +100% because base rates are noisier.
Yes — the geographic filter supports country-level and city-level filtering, useful for programs with regional cohorts (Antler in specific cities, Techstars regional programs).