Custom Integrations by Databox

Bring missing data into Databox without writing code

Analytics

SaaS

Developer Tools

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This is the kind of feature that sounds small until you realize every company has 20 disconnected systems 🫠

Would be cool if you added community-built connectors where users can fork/edit integrations.

Does it handle rate limits automatically or do users configure that manually?

Honestly the most valuable part here is letting non-technical teams pull API data themselves.

One of the things that makes Custom Integrations genuinely useful for ongoing reporting is that the datasets sync automatically. You are not managing a one-time import or triggering a refresh manually. The data stays current, which means the reports built on top of it stay current too. That is the difference between a connection teams keep and one they quietly stop using.

I always see how custom integrations are a huge headache for any developer to deal with. This will be interesting to see how it can be used for better integrations around accounting workflows.

Simple idea but high impact .Getting all your data in one place without code is still harder than it should be this moves things forward.

the long tail of tools nobody integrates is the actual pain. coming from analytics myself, ive lost full afternoons stitching csvs from some niche tool nobody else uses just to get one chart. being able to point at any api and get a clean dataset out the other side is the kind of unsexy infra work that quietly saves teams hours every week.

Congrats on the launch !!!

From a sales ops perspective, Custom Integrations are powerful because they unlock every tool in your stack, not just the popular ones. The niche platform your SDRs love, the legacy system finance runs on, the internal tool no vendor will ever build a connector for. All of it can flow into the same dashboards as your CRM and revenue data.

That means one full picture of performance, faster answers for leadership, and trends you can actually see across the whole funnel. If it has an API, it can drive your reporting. Nothing in your stack is off-limits anymore.

Combine this with Genie AI Analyst and the possibilities are unlimited.

the 'export to spreadsheets' loop is basically a part-time job for revops teams at this point. 😅 every time a client asks for a metric from a niche tool, we end up in a manual sync nightmare. being able to turn an api response into a structured dataset without code is a massive time-saver. @zigapotocnik

This is so easy a CEO can do it.

When this launched, I spent my saturday morning building an integration with AuthoredUp, the tool I use to publish and analyze my Linkedin posts.

I then built a Claude skill that connnects to the Databox MCP to help me draft my posts. It looks through my past post's performance and analyzes why certain posts perform better than others. Then, it uses that to propose post angles, validate my hooks, draft my outlines, and edit my drafts.

Super proud to be part of the team behind this. Custom Integrations has shown up in so many customer conversations, usually right after someone lists all the tools they can’t live without and we all collectively sigh 😄
Seeing it come to life like this, and done properly, is a big milestone. Massive shoutout to everyone who brought it over the line.

There is always at least one tool in every team's stack that does not connect to their reporting. Something internal, something niche, something built before anyone thought about APIs. Custom Integrations is the answer to that - not a workaround, not a one-off script, but a connection that syncs automatically and becomes part of your workflow the same way every other integration does.

We spent a lot of time thinking about what it means for data to actually be accessible - not just technically available, but something any person on the team can use without needing to understand the pipeline behind it. Custom Integrations is built around that. You connect it once, and from that point forward the data is just there for anyone who needs it.

From a technical standpoint, what makes Custom Integrations solid is what it handles behind the scenes - OAuth2, pagination modes, dynamic date values, time zone handling. Each of these sounds minor until it is the thing that breaks your connection. Getting all of that into a setup any analyst can configure without writing code is the real achievement here.

I know that this is a business tool.. but boy did I have some fun with this feature. Since everything has an API these days, you really do get to report on anything and everything. Excited to see how this feature skyrockets.

I tested Custom Integrations against a few APIs we had been unable to connect before - tools with non-standard pagination and OAuth2 flows. All of them connected cleanly and the datasets synced without issues. For anyone who has spent time maintaining workarounds for this kind of thing, the difference in reliability is immediately noticeable.

Congrats to the whole team on this launch. It has been a long road and seeing it out in the world is genuinely satisfying. If you are a data analyst or ops person who has been working around a missing integration for months - this one is for you.

I work across a lot of client accounts, and the recurring problem is always the same - data sitting in a tool that does not connect anywhere, so it never makes it into reporting. Custom Integrations gives us a way to handle that without escalating to engineering or maintaining brittle automations. Build the connection, get the dataset, move on.