Executive Summary

Revenue teams—RevOps, FP&A, and sales leaders at SMBs and mid-market companies—routinely juggle 5–15 dashboards and back‑office systems to answer simple questions like “what did we actually book yesterday,” producing conflicting KPIs and decision delays. That fragmentation creates daily-reporting lag, manual reconciliation work, and erosion of trust in forecasts as transaction volumes grow. The product would be a single real‑time revenue dashboard backed by a metric store that ingests streaming events and batch data from Snowflake/BigQuery, Fivetran, Segment, CRMs and billing systems, exposing certified metrics, lineage, sub‑minute freshness and audit trails with pre‑built MRR/ARR/bookings/churn models. It should include ledger reconciliation, role‑based access, anomaly alerts and a lightweight SQL interface so RevOps can validate and extend definitions without heavy engineering cycles. Timing is favorable: the addressable market is roughly $60B (10M companies × ~$6K ACV), modern data stack standardization lowers integration friction, and RevOps teams increasingly demand live metrics instead of daily lag, which supports a land‑and‑expand GTM. Competition is medium—traditional BI vendors and emerging metric stores exist—so success depends on demonstrating rapid, measurable ROI. To stand out, specialize tightly on revenue flows and metric governance—deliver certified metrics, sub‑minute freshness and built‑in reconciliation—while targeting RevOps buyers with vertical playbooks; be candid that this requires nontrivial engineering to guarantee latency and lineage, a disciplined GTM to build trust, and time to overcome incumbent dashboards.

Market Opportunity

Too many tabs to see yesterday's revenue — one real-time dashboard targets a $60.0B = 10M potential companies x $6K ACV (global BI/analytics + revenue tooling TAM) total addressable market with medium saturation and a year-over-year growth rate of 12-20% annual growth for analytics and RevOps tooling, depending on region and segment.

Key trends driving demand: Real-time expectations -- Teams expect live metrics (not daily lag), raising demand for streaming and metric-store architectures.; Modern data stack standardization -- Adoption of Snowflake, BigQuery, Fivetran, dbt reduces integration friction for third-party reporting layers.; Growth of RevOps function -- More companies centralize revenue operations, creating buyers who want single sources of truth for revenue.; AI-assisted data work -- LLMs and ML models can automate schema mapping, anomaly detection, and metric harmonization..

Key competitors include ProfitWell, Baremetrics, ChartMogul, Tableau (Salesforce), Databox.

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Too many tabs to see yesterday's revenue — one real-time dashboard

Executive Summary

Market Validation

Market Opportunity

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