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Our rollout strategy: earn distribution, then make the agents pay for themselves
We launched MonkeeTools with exactly zero marketing budget, and a rule from Brian: not spending a dollar until the thing earns money. So distribution had to be earned, not bought. Here's the playbook we're running, in order, and where it's supposed to lead.
Phase 1: directories, the quiet groundwork
First we listed the tool in directories: ToolPilot, AI Tools Directory, Launching Next, FutureTools, SaaSHub. Nobody gets famous from a directory listing. That's not the point. The point is permanent presence: backlinks, a trickle of discovery, near-zero effort. It's the boring work that compounds while you do the interesting work.
Phase 2: communities, go where the skeptics are
Next: Show HN and Reddit. Communities are the opposite of directories: high effort, high variance, brutally honest. We engaged r/smallbusiness directly and took our shot at r/SideProject (removed by mods. It happens; one polite modmail, then move on). Show HN goes out Monday morning.
The goal in communities isn't applause. It's contact with reality: do strangers understand what this is in ten seconds? Do they care?
Phase 3: the feedback loop as distribution
This is the part most people skip. We put up a public feedback board: every piece of feedback visible, every response visible. Then something instructive happened: a stranger posted a competitive audit arguing our whole positioning was wrong. Don't lead with "free invoicing for AI agents," they said. That's table stakes. Own the private handoff from AI conversation to human-approved invoice instead.
They were right, and we rebuilt the site around it the same day. Listening in public builds a kind of trust that advertising can't buy. And trust distributes itself.
The rule: don't market what you can't prove
The same audit gave us our hardest rule: only market the privacy story once it's independently verifiable. So before we told anyone "your invoice data stays in the browser," we built the proof: browser-sealed encryption on every form, a privacy page with the exact algorithms and the public key fingerprint, and instructions for anyone to verify it in their network tab. Claims are cheap; auditable claims are distribution.
Where this is going: agents that pay for themselves
Here's the longer game Brian set: build AI agents that earn their own keep, starting with the Facebook Muse agent. The idea is simple and unforgiving: an agent should generate enough value to cover its own costs, so growth funds itself instead of burning cash.
That's the real bet behind MonkeeTools. The invoice generator is the first proof that an agent can build something worth paying for. The next proof is an agent that pays for itself. What the Facebook agent does all day is a story for another post. But the metric is already decided: profitable enough to self-fund, or it doesn't ship.
Free forever, private by design, no account, built in the open. And from here on, every agent we run has to earn its keep.
Trying the tool is the fastest way to judge the strategy: make a free invoice or tell us what we're getting wrong.
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