Lapu AI for Founders

Pain points Lapu AI addresses

• Spending 4–8 hours every month assembling the investor update — pulling metrics from Stripe exports, copying KPIs out of dashboards, and rewording the same narrative across email, Notion, and the data room
• Context-switching across email, Slack, the CRM, a spreadsheet, and the deck for a single board-prep cycle, with no one tool that can read or write to all of them
• Manually researching candidates, investors, design partners, or competitors across LinkedIn, Crunchbase, and the web — then pasting the results into a tracking sheet by hand
• Knowing the cap table, hiring plan, and financial model live in files on your laptop that you do not want to upload to a third-party SaaS — so cloud-only AI tools are not an option for the work that actually matters
• Losing an hour after every external call to write the follow-up, log the next step in the CRM, and update the deal-room tracker — work that is high-value but unbearably repetitive
• Having no audit trail when a part-time EA, contractor, or AI tool touches sensitive files (term sheets, hiring decisions, payroll runs) — and no easy way to revoke access after the engagement ends

Top tasks for Founders

1. 1. Draft the monthly investor update from real data

   End of month. You need an investor update that pulls MRR from the Stripe export, headcount from the hiring tracker, runway from the financial model, and last month's narrative from Notion. Lapu AI reads all four sources on your disk, drafts the email in your voice, and asks for your edits before anything is sent.

   "Read ~/founder/metrics/stripe-export-2026-05.csv, the hiring tab in ~/founder/financial-model.xlsx, and last month's update in ~/founder/notion-export/investor-update-april.md. Draft a May investor update following the same structure: headline, KPIs, lowlights, asks. Show me the draft before sending."

2. 2. Build the board deck from last quarter's template

   Board meeting on Friday. Last quarter's deck is in ~/founder/board/Q1-2026.pptx and the new numbers live across a spreadsheet, the CRM export, and three product analytics screenshots. Lapu AI clones the template, swaps in the new figures, and flags every slide where the data does not exist yet.

   "Duplicate ~/founder/board/Q1-2026.pptx as Q2-2026.pptx. Replace the metric tiles using values from ~/founder/metrics/q2-summary.xlsx. For any slide where the source value is missing, leave the placeholder and add a comment listing what I still need."

3. 3. Triage the inbox and Slack before standup

   Inbox at 87 unread, Slack at 14 unread channels. Lapu AI reads the last 12 hours, groups messages by topic, lifts out anything that needs a same-day response, and drafts replies for the ones that have a clear answer in your notes.

   "Read my inbox and Slack DMs from the last 12 hours. Group by topic. List the 5 items that need a same-day reply from me, draft a response for each using my past replies as voice reference, and flag anything sensitive (legal, fundraising, personnel) for me to handle directly."

4. 4. Research a candidate, investor, or design partner

   You are about to take a call with someone you have never met. Lapu AI reads their LinkedIn, the latest press, their portfolio (for investors) or shipped projects (for candidates), and writes a one-page brief saved to your prep folder.

   "Open https://www.linkedin.com/in/example-investor in my browser, read their last 5 posts and their firm's portfolio page, find their last 3 public investments and any recent press, and save a one-page brief to ~/founder/prep/2026-05-13-investor-call.md."

5. 5. Run pipeline ops on the CRM export

   Friday pipeline review. You export the CRM to a spreadsheet but it needs cleanup: dedupe by domain, flag stale deals, compute weighted pipeline, and roll up by segment. Lapu AI runs the same script every week so the numbers stay consistent.

   "Take the latest export in ~/founder/crm/exports/. Deduplicate by company domain, flag any deal with no activity in 21+ days, compute weighted pipeline (amount × stage probability), and roll up by segment into a new sheet. Save as pipeline-2026-W19.xlsx and write me a 5-bullet summary of what changed since last week."

6. 6. Reconcile receipts and prep the bookkeeper handoff

   End of month bookkeeping. Receipts are scattered across Gmail, a Dropbox folder, and your downloads directory. Lapu AI collects them, matches each to a transaction in the bank export, and produces a categorized list ready for the bookkeeper.

   "Find every PDF and image receipt in ~/Downloads and ~/Dropbox/receipts from May. Match each one to a row in ~/founder/finance/bank-export-may.csv by date and amount. Output an unmatched-receipts list and a matched-categorized list as receipts-may-2026.xlsx."

Related use cases

• cross app workflows →
• document processing →
• research extraction →

FAQ

Is Lapu AI safe to use with my cap table and financial model?

Files stay on your machine. Lapu AI is a desktop agent — it reads local files directly and only sends the relevant context for a given task to the model provider through Lapu AI infrastructure. There is no Lapu AI cloud storing your documents, and every action that touches a sensitive file (read, write, send, share) prompts for your permission unless you have pre-approved it in your permission policy.

How is Lapu AI different from ChatGPT or Claude Desktop for founders?

ChatGPT and Claude Desktop are excellent for thinking through a problem, but they cannot read the spreadsheet on your disk, open your CRM export, or execute a multi-step task across your apps without you pasting context back and forth. Lapu AI is built for that loop: read local files, draft a deliverable, run a shell command or a script, ask for confirmation, and produce a finished artifact in the right folder.

Will Lapu AI actually send the investor update, or only draft it?

By default, Lapu AI drafts and shows you the result before sending anything externally. You decide whether to send from your mail client or hand it off. If you want to pre-approve a recurring task — like sending the monthly update to a fixed distribution list — you can grant that specific permission in your policy and revoke it at any time.

Does Lapu AI work with the apps founders actually use — Stripe, Notion, Linear, Pitch, Carta?

Lapu AI works at the desktop layer, so it reads exports, screenshots, and local files from any of those services, and it can drive their desktop or web app via the same hooks a human uses. Direct API integrations exist for the highest-impact tools and are growing each release — for everything else, the desktop-agent pattern means a working integration is usually a permission grant away, not a roadmap item.

Can a small team share Lapu AI workflows — for example a chief of staff using the same investor-update flow?

Yes. Skills you build in Lapu AI are reusable prompts plus the permissions and files they need. You can share a skill definition with a teammate, and when they run it, the agent uses their own machine, their own files, and their own permissions — there is no shared cloud workspace that mixes founders' private data together.

What does Lapu AI cost compared to stacking five point tools?

Founders typically stack ChatGPT Plus, a writing tool, a research tool, a sales-prospecting tool, and a workflow automation tool to cover the same surface area Lapu AI covers as a single desktop agent. See the pricing page for the current Pro and Max tier costs. Most founders we hear from replace two or three of those tools within the first month.

Can Lapu AI prep my board deck without uploading the file to a server?

Yes. Lapu AI opens, edits, and saves files locally on macOS and Windows. The deck itself never leaves your disk; only the slice of text or numeric context needed to make a decision goes to the model provider. The agent logs every file touch in an audit trail you can review or export.