Growth
How to Build an Eval Set for Your AI Product Before Users Find Bugs
Build an eval set for your AI product without a data team: 30 to 50 real examples, plain pass/fail rules, and a rerun before every prompt or model change.
21 guides on Growth — early traction, launches, and growth.
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Growth
Build an eval set for your AI product without a data team: 30 to 50 real examples, plain pass/fail rules, and a rerun before every prompt or model change.
Growth
How to price an AI product when each user costs you different money: measure cost per user, set a margin floor, pick a plan shape and write honest limits.
Growth
A practical playbook for early founders whose product still shifts week to week: freeze one promise, build a modular landing page around one job, update sections without a full rewrite, and measure conversion—not vanity—over a 14-day sprint.
Growth
A practical cut for early access: score features for the one job, ship musts, park launch-week stories, kill theater, and run a 14-day activation sprint before public launch.
Growth
Turn early-access feedback into a public roadmap people trust: triage tags, entry templates, publish vs private rules, and a 14-day update cadence.
Growth
A practical rubric for choosing early-access users: score ICP fit, urgency, willingness to talk, and use-case clarity—plus invite and not-yet email sketches.
Growth
Practical playbook for turning closed-beta users into paying customers—timing, pricing, opt-outs, and trust-preserving asks that avoid a bait-and-switch.
Growth
How to keep early access signups engaged until launch—build logs, reply loops, soft asks, and the signals that predict who will actually buy.