FINANCE

Weekly Cash Runway Forecast and Board Snapshot

Each week, blends current consolidated cash with historical burn from BigQuery to project runway in months.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule fires every Monday morning
  • ActionPull latest consolidated cash balancePostgreSQLPostgres
  • ActionQuery trailing net burn from BigQueryGoogle BigQueryBigQuery
  • LogicProject runway months and check threshold
  • ActionUpsert forecast to leadership Notion pageNotionNotion
  • OutputAnnounce runway and warnings to SlackSlack

What it does

Produces a weekly cash runway forecast. It reads the current consolidated cash position and pulls historical net burn from BigQuery, projects months of runway at current and trailing-three-month burn rates, and flags if runway dropped below a configurable threshold. The forecast is written to a living Notion page and announced to leadership.

When to use it

When the runway number lives in a spreadsheet someone updates sporadically and is stale by the time the board asks. Use it to keep an always-fresh, sourced runway figure and a weekly trend the leadership team can trust.

How it works

  1. 1A schedule fires every Monday morning.
  2. 2Pull the latest consolidated cash balance from Postgres.
  3. 3Query BigQuery for monthly net burn over the trailing periods.
  4. 4Compute runway months at current and trailing-average burn, and detect threshold breaches.
  5. 5Upsert a formatted forecast block to the leadership Notion page.
  6. 6Post the runway figure and any threshold warning to the leadership Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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