Your data pipelines run silently all week and you assume they are fine, until a report breaks and you have no idea where to look. Data Stack Analyzer connects to your pipeline, scans every dependency and transformation, and shows you exactly what is broken or about to break. Teams run their first scan and turn up real issues in under two minutes: broken joins, stale tables, schema mismatches that had been silently wrong for months. Try it right now with your actual pipeline.
Most data teams find out something is wrong when a stakeholder pings them. Run one scan and that changes.
Four steps, real timing. The first three happen in a single sitting.
Point the analyzer at your dbt repo and a read-only warehouse role. No production writes, no agents, no security review marathon.
Full lineage walk across sources, models, exposures, and connectors. You get a structured graph and a ranked findings list before your coffee is cold.
Each finding cites the file, line, and downstream blast radius. Mark, assign, or snooze. Export to Linear or a Slack thread in one click.
Set scans to run on every PR or nightly. Schema drift, new dead connectors, and broken joins are caught before the next stakeholder ping.
Four buyer profiles where the analyzer pays for itself in the first week.
Three jobs, done well. No observability dashboard you have to staff.
Connects to your warehouse and dbt repo, walks every model, source, and exposure, and returns a structured graph you can actually query. No agent install, no week-long onboarding.
Every finding comes with severity, the exact file and line, and the downstream blast radius. You get a fix queue, not another tab to forget about.
Surfaces Fivetran syncs and dbt models that nothing downstream reads. Most teams find four figures of monthly spend on dead pipes in the first scan.
Connect your warehouse, run one scan, get a ranked issue list in under five minutes. If we do not surface a real issue in your stack within 30 days, you do not pay.
Run a scanThe Wishdeal Factory scores every idea against 10 Adoptability axes, separate from raw quality. Here are the numbers we surface for this one.
shippable in 4 to 6 weeks. Year-1 ARR mid-case around $85K (estimate). Investment to production around $42K. probability of meaningful success around 11%, by Fermi heuristics.
Everything on this page. The brand, the score, the Fermi math, the audio pitch.
ICP, MVP scope, first 7 build tasks, 30/60/90 launch plan, GTM, email drip, LinkedIn message, objections, risk memo.
Unlock dossierDossier plus the working code starter, brand assets, copy library, and outreach pack.
See adopt scopeHire the team that built this to install, customize, and run launch with you.
See scope