Shotyard
Leading AI image and video models, all in one place.
Design Tools·AI & Machine Learning
What is Shotyard?
Shotyard is a multi-model AI image and video generation platform. It brings leading models into one simple workspace and rapidly adds important new models after release. Choose a model, enter a prompt or upload supported references, and generate without learning a different interface for every provider. Use it for images, videos and creative exploration. Shotyard uses affordable credit-based pricing, and new accounts receive 10 credits to try supported models. Shotyard is an independent platform and is not affiliated with the AI labs whose models are available through the service.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
over 10% of churned monthly subscribers resubscribe within 12 months...reactivation is a huge part of their growth model...they've already primed they paid once they're very very likely to pay again if you just give them the right pitch
Over 10% Of Churned Subscribers Resubscribe Within 12 Months — Reactivation Compounds
RevenueCat measured something that surprises most founders: more than 1 in 10 users who cancel come back within a year on their own or with a nudge. The churned user pool grows every month and never shrinks — so the ROI on reactivation compounds over time. Jacob notes Duolingo treats reactivation as a core growth lever. The caveat: don't build win-back infrastructure until you have enough churned users to make it worth the investment.
if we're testing a messaging test we will have the exact same design but with four different messages on there against a control which one of these messages will be our control once we then find out which message works best we'll take that one message and put it into four different concepts.
Test Message First, Then Test Format — One Variable at a Time
Hannah runs creative tests in two phases: first, take one design and test four different messages against a control to find the winning message. Then take that winning message and test it across four completely different creative formats (UGC, iMessage mock, notes-style, etc.). This isolates variables and prevents conflating message performance with format performance — a common mistake that wastes budget and produces ambiguous results.
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