Built an n8n booking alert system — is cold outreach dead for B2B micro-tools?

This is exactly the reframe I needed. I kept thinking in postcodes — same street, same neighborhood — when the actual unit that matters is the social cluster. That distinction feels obvious in hindsight but I completely missed it.
The food market example clicked for me. Those sellers are already talking to each other before the market even opens. If one of them uses the tool and it saves them from a missed booking that weekend, they're going to bring it up in that exact conversation. That's the kind of distribution I genuinely can't manufacture with cold email.
One thing I'm still figuring out: when you first approach someone in that setting — say a food stall owner you've never met — do you open with the problem ("do you ever miss booking requests buried in your inbox?") or do you just ask if you can show them something live? I haven't nailed that first sentence yet.
Also thinking about whether the tool itself can do some of this work. Right now it fires a clean, structured alert email the moment a booking request hits Gmail — no formatting, no noise. If an early user shows that email to their neighbor at the next stall and says "look how different this is from what I used to deal with", that's almost a built-in demo. Might be worth designing around that moment intentionally.
Appreciate you being specific here. Most advice I've gotten is "do cold email" or "post on Reddit" — this is actually actionable.

The pain-point-first reframe makes sense — leading with "missed booking during service hours" is a much harder emotional hook than "here's my Gmail automation."
Before building 3 niche pages, I'm curious about sequencing: do you get more from running those pages before your first free installs, or after you've had a handful of real users whose language you can mine for copy?
Going to try to crack that question here in public first — appreciate the pointer.

The free-first point is the right call at this stage. Cold outreach without proof is mostly just noise — the person on the other end has no reason to trust that it works for them specifically. Three real users who can describe the problem in their own words gives you more than any copy you can write cold. The single niche point is just as important. Restaurants and salons sound similar from the outside but the language, the objections, and the decision-maker are all different. Picking one and going deep means you stop rewriting the pitch every time something doesn't land.

Both points land. Going free-first is the obvious move — cold outreach without proof is just noise, and a single real conversation with an owner who actually uses it will tell me more than 50 unanswered emails.
On niche: going with restaurants. The booking problem there is more concrete — a reservation request is a defined event with a clear cost when missed. Salons have more varied intake flows (Instagram DMs, phone calls, third-party apps) which makes the problem fuzzier to solve in one shot.
One question I haven't figured out yet: when you go free-first, how do you know when to ask for money? Do you wait for them to say "this saved me" unprompted, set a time limit upfront ("free for 30 days"), or just ask directly after a few weeks?

The OpenTable + review keyword cross-reference is something I can actually do systematically — pull a list of restaurants on OpenTable in a target area, check their Google reviews for words like "missed" or "didn't receive," and that's a qualified list before I've sent a single email. That's a real research workflow, not just a clever line.
The geographic cluster piece is the insight I didn't have before. I was thinking "3 free users" as a validation number. You're describing something different — use geography as the distribution layer, so word of mouth travels on foot between businesses that already talk to each other.
One thing I'm unclear on: how do you pick that first cluster? Did you target an area where you already knew owners interacted (a food street, a market, a shared landlord situation), or did you just start with whoever said yes and let geography emerge from there?

The "lost money that day" test is the right filter. Running it across the three:
Restaurants: an empty table on Saturday night is gone forever. No waitlist fills it, no rescheduling recovers it. That's the clearest urgency.
Salons: real cost, but many run waitlists that quietly absorb missed slots. Pain is present but softer.
Studios: fill rate anxiety is more weekly than event-by-event. Less panic per missed message.
Restaurants win. A dinner table is probably the most perishable asset a small offline business has.
The useful vs urgent reframe also fixes the copy problem I had. "Booking alert system" sells the mechanism. The sharper version is: "you won't find out at 8pm that your 7pm table never confirmed." That's not useful — that's a near-miss they've already lived through.
On the first-customer path — yes, that would be useful. I'll have 2–3 real restaurant conversations this week first, so when you write it out there's something concrete to pressure-test it against rather than just theory on both sides.