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instancez
The Backend for Developers and Agents
instancez is a single container backend defined in one YAML file and is supabase-js-compatible. Declare tables, auth, row-level security, storage and functions, and it migrates your Postgres database for you. It ships as a single binary or container with a built-in dashboard, keeps your supabase-js code working, and promotes the same file from dev to staging to prod. The YAML is also easy for LLMs and coding agents to read and write and do local & cloud development and deployments!
Hey Product Hunt, I'm Sa'd, one of the makers of instancez.
Every backend I built started the same way: set up auth, an API, storage and access rules, usually as a multi-container stack with a pile of migrations on top. Doing that once is fine. Doing it again for every branch and every experiment is what wore me down.
So instancez is the whole backend in one YAML file, run by one binary or container in front of your Postgres. There's no stack to bring up, so I can run several environments side by side, one per branch, and iterate on each of them in parallel. A new environment is the same file and a start command, not another round of bootstrapping.
That also makes it portable. The same file runs on a laptop, on your own servers, in Docker or on instancez Cloud. Your supabase-js code keeps working when you point it at the new URL.
It's friendly to coding agents, and to LLMs in general, mostly because YAML is easy for them to read and generate. instancez diffs the file against your database and applies only the change, so there are no migration files to write. The built-in dashboard writes edits back to the YAML as a diff you can review.
Install the skill with npx skills add instancez/instancez and your coding agent learns the YAML syntax, the RLS patterns and the inz CLI.
To try it: install from get.instancez.ai, then `inz init` followed by `inz dev --embedded-pg`. To host it yourself use `inz serve` or Docker, or deploy to our cloud with `inz cloud deploy`.
How do you handle parallel environments today, and what would you want your coding agent to build on this first?
About instancez on Product Hunt
“The Backend for Developers and Agents”
instancez was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #69 on the daily leaderboard. instancez is a single container backend defined in one YAML file and is supabase-js-compatible. Declare tables, auth, row-level security, storage and functions, and it migrates your Postgres database for you. It ships as a single binary or container with a built-in dashboard, keeps your supabase-js code working, and promotes the same file from dev to staging to prod. The YAML is also easy for LLMs and coding agents to read and write and do local & cloud development and deployments!
On the analytics side, instancez competes within API, Open Source, Developer Tools and GitHub — topics that collectively have 730.8k followers on Product Hunt. The dashboard above tracks how instancez performed against the three products that launched closest to it on the same day.
Who hunted instancez?
instancez was hunted by Sa'd SayedAhmed. 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.
For a complete overview of instancez including community comment highlights and product details, visit the product overview.
Sa'd SayedAhmed
Hey Product Hunt, I'm Sa'd, one of the makers of instancez.
Every backend I built started the same way: set up auth, an API, storage and access rules, usually as a multi-container stack with a pile of migrations on top. Doing that once is fine. Doing it again for every branch and every experiment is what wore me down.
So instancez is the whole backend in one YAML file, run by one binary or container in front of your Postgres. There's no stack to bring up, so I can run several environments side by side, one per branch, and iterate on each of them in parallel. A new environment is the same file and a start command, not another round of bootstrapping.
That also makes it portable. The same file runs on a laptop, on your own servers, in Docker or on instancez Cloud. Your supabase-js code keeps working when you point it at the new URL.
It's friendly to coding agents, and to LLMs in general, mostly because YAML is easy for them to read and generate. instancez diffs the file against your database and applies only the change, so there are no migration files to write. The built-in dashboard writes edits back to the YAML as a diff you can review.
Install the skill with npx skills add instancez/instancez and your coding agent learns the YAML syntax, the RLS patterns and the inz CLI.
To try it: install from get.instancez.ai, then `inz init` followed by `inz dev --embedded-pg`. To host it yourself use `inz serve` or Docker, or deploy to our cloud with `inz cloud deploy`.
How do you handle parallel environments today, and what would you want your coding agent to build on this first?