started building december-ish. small team. shipped a v1 in feb. been refining since.
we use it ourselves to run a few channels. main one is doing real monthly revenue across around 30 sub-channels. that's our reference customer for figuring out what to build next.
biggest learning so far: the saas part is harder than the ai part. customer support, billing edge cases, render queue management. the ai is just apis. the rest is real engineering.
type a topic, it scripts the video, generates the narration, generates the visuals, edits the whole thing. 20-90 min output.
our test channel uses it heavily. one of them runs around 30 sub-channels and is doing real monthly revenue. that's the use case we're optimizing for: faceless yt creators who want to run multiple channels without manually editing each video.
happy to answer questions.
jan: prototype that worked on 2 topics, broke on everything else.
feb: realized script quality was the bottleneck, not visuals. spent the month rewriting that pipeline with multi-step research instead of single-prompt generation.
mar: visual coherence problem. characters changing across scenes. fixed with style anchors per scene.
apr: shipping mode. paid users started showing up.
now: scaling render capacity. people generating 30+ minute videos eats compute. queue management is the next problem.
ama if useful.