I once calculated how many hours my team lost to "data that lives somewhere else."
Export from this tool. Clean in Excel. Import into that dashboard. Repeat every Monday. Hope nothing breaks.
It was easily 5 hours a week. Per person.
And the answer from every analytics platform was always the same: "We don't have that integration. Submit a feature request. Wait 6 months."
So we changed the answer.
@databoxHQ just launched Custom Integrations.
Here's what it actually means:
β Connect virtually any JSON-based API without writing a single line of code
β Paste your API docs into ChatGPT or Claude, ask it to generate the config
β Paste that config into Databox. Done. Live dataset in minutes.
β Start asking questions in plain language immediately. No SQL. No dashboards to pre-build. No metrics to pre-define.
This isn't a minor feature update. It fundamentally changes what "supported integrations" means.
The output is a full structured dataset not just a metric. Queryable. Filterable.
You can explore and build on it immediately. Use it with our AI analyst or access it via MCP with any AI tool you already use.
OAuth2, complex pagination, dynamic date ranges β all handled. No configuration headaches.
What used to take a developer half a day now takes the time it takes to make a coffee.
This is the most significant update to
@databoxHQ since our AI analyst launched. And no other analytics platform on the market does this in a single, code-free workflow.
If you've ever stared at a "Request Integration" button and felt your Sunday evening drain away :
databox.com/custom-integratiβ¦
And check out the product hunt launch here:
producthunt.com/products/datβ¦
π Drop "DATASET" in the comments.
β»οΈ Repost for the person on your team still manually exporting CSVs every Monday morning.