I have four exits on my resume. One was around $6.5B. People assume that is the one I learned the most from. It is the one I learned the least from, and it took me years to admit why.
The win was mostly weather
Here is the uncomfortable truth about the big one. We were a competent team in a category that was going up regardless. The timing was right, the capital was flowing, and the buyers were circling the whole space, not just us. We made some good calls and some terrible ones that the rising market quietly absorbed, the way a rising tide absorbs a leak in the hull. Nobody bails water when the boat is going up. When the number landed, every decision got retroactively reclassified as brilliant. The pivot that nearly killed us became "bold." The feature we over-invested in became "visionary." Success is a laundering machine for your own judgment: it takes a messy pile of good calls, lucky calls, and near-fatal calls and hands it back stamped "genius" with no itemized receipt. I walked away unable to tell you which of my decisions actually worked, because the outcome told me they all did.
The failure sent receipts
The startup that returned almost nothing was the opposite. Every decision came with a receipt because there was no big outcome to hide behind. You priced wrong, here is the churn. You built for a buyer who did not exist, here is the empty pipeline. You hired for scale before product-market fit, here is the burn rate. I learned more in that post-mortem than in the entire run of the one that exited huge. I learned what real demand feels like versus polite interest, that a roadmap nobody is pulling on is a confession not a plan, and that the founder's confidence is the least reliable signal in the building. Those lessons transferred, at SOCi, at Crisis Text Line, at Commure, at Smartcat, every time I caught myself about to repeat the exact mistake the failure had already charged me for. The win gave me a number. The failure gave me a method.
Survivorship bias is the industry's operating system
Walk any product conference and the stages are full of survivors, and we extract their playbooks as if the playbook caused the outcome. It usually did not; the market caused most of it. For every "we said no to the big customer and it saved us" there are fifty teams that said no and died. This matters more now than ever, because when building was the constraint bad judgment was slow and loud, and now it ships before lunch and hides under five more shipments by Friday. At Falkster.AI I am building listening agents that extract real customer outcomes precisely so the speed does not outrun the judgment.
This week, take your single proudest professional outcome and write the honest post-mortem you never wrote because it succeeded. List every major decision and mark it "skill" or "luck or market." Be ruthless. Then take your most painful failure and do the same in reverse, and notice how many of those decisions you can mark clearly. That asymmetry, clear lessons from the loss and fog from the win, is the whole point.