Building ByteCap’s AI clipping pipeline
A practical look at turning a long video into short clips worth watching: transcription, candidate selection, scoring, rendering, and the systems around it.
Read case studyEngineering notes
How I build the systems behind ByteCap.
Deep dives into the technical decisions, trade offs, and lessons behind an AI video product used by thousands of creators.
ByteCap build log
Inside the work.
These are working notes, not marketing pages: the messy middle, the constraints, and the choices that made it into production.
Building cross platform video publishing
The engineering behind one time social connections, platform approvals, settings for each network, durable scheduling, and reliable delivery.
Read case studyVideo processing without a huge infrastructure bill
The choices behind async work, temporary media, retries, and keeping a compute-heavy pipeline practical to run.
Coming soonThe goal
Show the thinking, not just the stack.
Each note will cover the problem, approach, architecture, trade offs, and what changed after the system met real users.