This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
BabyChain is a visual studio for chaining generative media models, backed by a durable HTTP API. Owners compose multi-flow image → video chains on a canvas, every edit persists automatically to Aurora, and the exact same chain contract is callable from product code through authenticated API routes. Deploy BabyChain, configure server-side credentials, design flows on the canvas, run them in place, and let products call the same durable API. #vercel-day
Today we are launching BabyChain.
BabyChain is a self-hosted canvas studio and durable chain API for image and video model workflows.
ComfyUI-style chains: image → refine → image-to-video → video-to-video, without a local GPU. Every step runs through provider APIs, with your own keys, inside your own deployment.
The pain is familiar:
canvas tools made model chaining composable, but the workflow lives inside a UI. It wants a GPU or a managed runtime. A product backend cannot call it.
BabyChain closes that gap:
design the chain on a canvas, the exact same chain is a durable HTTP API.
Every output becomes the next input.
This version includes:
• multi-flow canvas studio with autosave and a results library
• 57 image and video models across Alibaba Cloud, Black Forest Labs, BytePlus, Google, OpenAI, and Runway
• 78,948 valid chain combinations
• schema-true node cards, the UI cannot offer what the API rejects
• BYOK execution, provider keys stay in your server environment
• durable runs, with one signed callback at the end when a webhook URL is supplied
• one-click Vercel deploy
The architecture is one decision applied everywhere:
Amazon Aurora owns every durable workflow fact. Vercel functions stay stateless.
Each invocation advances a run by at most one provider step and persists to Aurora. Any instance can pick up any run mid-chain. Close the tab during an 8-minute video step, the run keeps going, because run state was never in the browser.
Creators and developers: deploy it, chain your own models in your own cloud, and tell us what you automate first.
Visit: https://babychain.babysea.live
Repo: https://github.com/babysea-commu...
Build story: https://babysea.ai/blog/launchin...
One more thing: BabyChain is our entry to the H0: Hack the Zero Stack with Vercel v0 & AWS Databases hackathon. This post was created for the purposes of entering that hackathon. #H0Hackathon
#BabyChain #BabySea #AmazonAurora #Vercel #vercel-day
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About BabyChain on Product Hunt
“Every output becomes the next input”
BabyChain was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #66 on the daily leaderboard. BabyChain is a visual studio for chaining generative media models, backed by a durable HTTP API. Owners compose multi-flow image → video chains on a canvas, every edit persists automatically to Aurora, and the exact same chain contract is callable from product code through authenticated API routes. Deploy BabyChain, configure server-side credentials, design flows on the canvas, run them in place, and let products call the same durable API. #vercel-day
BabyChain was featured in Design Tools (260.8k followers), GitHub (41.3k followers) and Vercel Day (20 followers) on Product Hunt. Together, these topics include over 63.2k products, making this a competitive space to launch in.
Who hunted BabyChain?
BabyChain was hunted by Randy. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how BabyChain stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Randy