For data platforms

The agentic GTM platform for data platform startups

Your buyer is a data team that in half your accounts does not exist yet. Catching the moment it forms is worth more than any list you can buy.

try
Start freeRead the docs

A data platform gets bought once somebody is finally accountable for data. Until that hire lands the work is spread across a few engineers with other jobs and nobody is evaluating anything. After it lands, someone starts building a shortlist.

So watch formation rather than size. A first analytics engineer posting, a data team growing while the company is flat, an orchestration tool appearing on the stack. Each lands on the account as a dated fact, and your list is a view over those facts.

Who this is for
Seed to Series A data infrastructure companies: warehouses, pipelines, catalogs, quality, or orchestration. Four to fifty people, founder led revenue, no GTM engineer on staff.
What it looks like today
Databases sell you titles that do not exist yet at your best accounts. A company standing up its first pipeline this month looks identical, on paper, to one that solved the problem two years ago.
What changes
Team formation becomes the filter. Postings name the tools, headcount trends on your own Crustdata key show which function is growing, and detected technology confirms what is already in place before you write anything.

Example searches

Ask for it the way you'd say it

Each example is a request in plain words, with what it returns underneath.

  • Teams forming right now

    which companies added their first data engineering role in the last two months

    The posting date sits on the account, so you can sort by how recently the function appeared at all.

  • Tools that imply your problem

    show me companies running an orchestration tool and a cloud warehouse together

    The Tech stack column lists the tools found for each account, so a combination becomes a filter and not a review of every account.

  • The person, not the department

    find the head of data or the engineer who owns the pipeline at each company

    Data functions are small at this stage, so whoever owns the pipeline is usually the person who will evaluate you, not a gatekeeper passing you on.

Plays

Three motions you can run this week

Each one is a chain of OXYGEN primitives: the same hosted objects your workspace already has, composed.

  • Formation-triggered list

    Accounts caught in the weeks while a data function is being built.

    1. Signals
    2. Tables
    3. Records
    1. 1Track data roles and the tools postings name for your segment into a working table.
    2. 2Promote accounts inside the window and delete the rows that have gone quiet.
    oxygen sourcing plan

  • Watch the stack change

    A shortlist of target accounts whose tooling moved since you last looked.

    1. Tables
    2. Workflows
    3. Records
    1. 1Add LeadMagic's website scan as its own column and schedule a full refresh; a repeat within 30 days returns the stored scan.
    2. 2Read each account's cell history to see what its stack was before and which tools appeared.
    oxygen tables schedule set

  • Technical proof in the first email

    An opening line about their stack, written from one source of truth.

    1. Knowledge Graph
    2. Tables
    3. Sequences
    1. 1Keep positioning, benchmarks, and common objections in the workspace wiki.
    2. 2Draft a line per row from the detected stack, sample it, then enroll.
    oxygen sequences enroll

Capabilities

What you get

  • Detection that reruns on a schedule

    A scheduled full refresh of a LeadMagic website scan column reads each target account again once its stored scan is over 30 days old, and each cell keeps its change history, so a tool that appeared shows up in the cell.

  • Roles mapped to the stack

    Postings and detected technology sit on the same account, so a list can require both before you spend anything on contact data.

  • Runs you can inspect

    Every column run keeps its provider, cost, and output, so a value in your list can be traced instead of simply trusted.

  • Free workspace, metered spend

    Tables, Records, sequence drafts, and building a workflow stay unmetered. Enrichment, AI columns, provider signals, and workflow tool steps draw credits and show what they cost.

Instead of

The stack this replaces

Native, on one contract and one credit balance, not another tab wired to the last one.

Data sources

Data sources and CRM connections

  • TheirStack

    Job postings naming the tools a team is standing up, often months before the stack is visible outside.

  • LeadMagic

    Scans the company website for hosting and analytics tools when job postings say nothing about the stack, a hint rather than the primary filter.

  • Crustdata

    On your own Crustdata key, headcount by function, which exposes a data team growing inside a company that is otherwise flat.

  • Blitz API

    Finds the engineer or data lead who owns the pipeline, including where no data title exists.

Use managed credits where available, or connect a supported provider key on an eligible paid plan. Your provider bills its calls; OXYGEN adds a per-call platform fee. Signed-in CRM connections such as HubSpot have no per-call fee. Connected sending accounts reserve monthly credits. See pricing and supported integrations.

Limits

Where this stops

  • Internal data stacks are mostly invisible from outside. A website scan sees the front of a business, not the warehouse behind it, so treat postings as the stronger evidence and the scan as a hint.

FAQ

Questions people ask first

Our buyers do not respond to cold email at all.
Many will not, and the answer is fewer accounts with better timing. A company that opened a data role three weeks ago behaves nothing like one picked out of a list of ten thousand.
Can we track when a target account changes its stack?
Yes, though it is a rerun rather than a subscription. Schedule a full refresh of a LeadMagic website scan column: a scan over 30 days old is read again, a newer one returns from the stored copy for free, and the previous value stays in the cell's history. The Tech stack column skips accounts that already have a stack, even on a full refresh.
Do we need to move our CRM to use this?
No. Records can be the CRM, or it can sync with a CRM OXYGEN connects to, both ways or one way depending on the CRM. What moves here is sourcing, enrichment, and outbound, where the runs and the spending actually happen.
How does our AI assistant fit into this?
Through the same API the web app calls, exposed as tools. It can build a table and read results back. Through those tools, a live workflow call needs an approval flag and runs under a credit ceiling. So does a paid tool run or column run. A one-off contact lookup needs only the ceiling.
What happens when a run fails halfway?
Completed rows stay written and the run finalizes with its state visible. A rerun picks up the unfilled rows rather than starting again, so a provider hiccup does not cost you the list.
Is the free tier enough to evaluate this?
It is enough to build the motion end to end. Tables, columns, sequence drafts, and building workflows are unmetered, and the 250 signup credits cover a small first round of enrichment while you judge the data.

Put your GTM motion on one stack

Sign up, get a working workspace with a one-time credit grant, and run the first play end to end without wiring five tools together.

Start freeSee pricing