
Sauna drafts the earnings script and Q&A, builds the investor targeting list, summarizes analyst notes, and writes the shareholder responses so each quarter and roadshow is prepared with consistent, sourced messaging.
What it does
Sauna pulls the quarter's results and prior scripts from Google Drive, drafts the earnings call script and an anticipated-Q&A document in Google Docs, and flags where this quarter's story diverges from guidance.
It assembles a prioritized list of funds and analysts in Salesforce by holding, style, and recent activity, and drafts the outreach for the next roadshow or non-deal day.
Sauna compiles analyst notes and estimate revisions into a consensus summary in Google Sheets, highlighting where the Street sits versus your model and what shifted since last quarter.
It reads the investor's email, pulls the relevant disclosure, and drafts a reply that stays within what's already public, ready for your approval before sending.
Put Sauna to work on this.
Get started for freeIn context
Sauna shows up where you already work — the web app, Slack, email, iMessage, and Superhuman. It reads what it needs, does the task, and comes back with the draft for your approval.
Try it
The literal prompt for this job. Open it in Sauna and it picks up from there.
“Draft this quarter's earnings script and anticipated-Q&A from the results in the IR folder, summarize where consensus sits versus our model, and flag any question we're exposed on.”
Plugs into the tools you already run — and thousands more, or any MCP server.
Good to know
No. It drafts from already-public results and prior disclosures and flags anything that ventures past what's been released. You and counsel approve before a word goes to an investor.
No. Every figure traces to the results and filings in your folder, and consensus comes from the analyst notes you give it. It marks any gap rather than filling it with an estimate of its own.
Sauna reads only what you connect, and acts only after you approve. Your workspace and its memory are yours, not training data.
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