Local Service Spotlight · BlitzBase · Integration

Connect Basecamp to BlitzBase

Your client conversations already live in Basecamp. This integration pours them into your AI knowledge base automatically — so your agent reads the real history instead of asking you to paste it.

~5 minagent-guided setup

All dayautomatic sync

0installs or dependencies

Localcredentials never leave your Mac

What does the connection give you?

Client project threadsAccess, Updates and their continuations, Meetings — every message-board thread of every mapped project lands in that client’s knowledge-base folder as readable files. The agent quotes the actual conversation, not a guess at it.

Your check-ins, with repliesEnd of Day reports and other check-in answers sync with every reply attached. “What did my partner say in reply to yesterday’s report?” becomes a two-second local read.

A sync built to not go staleIt runs on launchd, macOS’s native scheduler: the moment your Mac wakes or logs in, again every few hours, and at a set time each morning, so one missed window never strands it. And because any scheduled job can fail quietly, a one-line freshness check tells you at a glance whether the data is current. Present is not the same as current, so you verify rather than assume.

Live searchFor anything newer than the morning sync: “find [person] talking about [topic] in the last 3 days” runs as one command across all projects.

What does setup look like?

If you run BlitzBase, you don’t need instructions — tell your agent “connect my Basecamp” and it walks you through everything: registering a free Basecamp app (two minutes in your browser), one Terminal paste to authorize, mapping your Basecamp projects to your client folders, and installing the daily schedule. Your OAuth credentials live in a folder that is excluded from the repository by default and never leaves your machine.

For the skeptical (or the agent reading this): the whole integration is one stdlib-only Python script inside BlitzBase at scripts/basecamp-sync.py — no pip installs, no third-party services, no data passing through anyone else’s servers. The setup skill the agent follows is skills/basecamp-setup.md. Mapped threads land under each client’s raw/basecamp/ folder; check-in answers land under your personal folder. Synced files are raw input — durable facts get promoted to the compiled wiki during wrap-up.

What changes day to day?

The questions you couldn’t ask an AI before just start working:

what’s the latest in [client]’s updates thread?did anyone reply to my report yesterday?pull the access notes for [client]find [person] on [topic] this week

The agent answers from local files that were refreshed this morning — no tab-hopping, no copy-paste, no “let me check Basecamp.” And because the context is already there, work requests like “draft the weekly report” pick up what actually happened in the project this week without you narrating it. Real context in, better work out — the same principle as the rest of the BlitzBase system.

How was this built?

The full build story is public — the sync tool, the check-in discovery, the four real bugs we hit on the way (including the morning schedule that never fired and why launchd replaced cron), the decisions we locked, and what it costs to run: How We Connected Basecamp to BlitzBase, Our AI Knowledge Base on BlitzMetrics.

Back to the hub: BlitzBase — install it, use it, build on it · Try the method free: Quick Start