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Scale AI
Know which AI tenants make money before costs scale
Scale AI is a self-hosted control plane for multi-tenant AI SaaS. It meters provider COGS, enforces hard and soft budgets, routes approved models, recovers durable BullMQ jobs, manages versioned pgvector retrieval, and joins usage to revenue. The operator console makes contribution margin, payback, and COGS visible per tenant. The public demo uses synthetic data; the download includes editable source, Docker Compose, OpenAPI, Node and PHP SDKs, and a local mock provider.
I built Scale AI after seeing the same gap in AI SaaS products: teams could ship features quickly, but could not answer which tenant was profitable, why model spend changed, or whether a retry or cache decision protected margin.
Scale AI sits between a tenant-aware SaaS and OpenAI-compatible providers. It meters successful calls, enforces hard and soft budgets, routes approved models, runs durable BullMQ jobs, manages versioned pgvector retrieval, and joins AI COGS to revenue. The hero view is contribution margin, payback, and COGS per tenant.
The public demo uses synthetic tenants and a local mock provider. I would value feedback from SaaS founders and platform engineers on the tenant economics view, the migration path, and the operational controls you would need before putting an AI product in front of customers or investors.
CodeCanyon gave you modules. Scale AI makes the system operable.
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About Scale AI on Product Hunt
“Know which AI tenants make money before costs scale”
Scale AI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #121 on the daily leaderboard. Scale AI is a self-hosted control plane for multi-tenant AI SaaS. It meters provider COGS, enforces hard and soft budgets, routes approved models, recovers durable BullMQ jobs, manages versioned pgvector retrieval, and joins usage to revenue. The operator console makes contribution margin, payback, and COGS visible per tenant. The public demo uses synthetic data; the download includes editable source, Docker Compose, OpenAPI, Node and PHP SDKs, and a local mock provider.
Scale AI was featured in Analytics (173.8k followers), Developer Tools (519.8k followers) and Artificial Intelligence (479.1k followers) on Product Hunt. Together, these topics include over 224.1k products, making this a competitive space to launch in.
Who hunted Scale AI?
Scale AI was hunted by Ahmed Hassan. 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 Scale AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ahmed Hassan