Teardown the revenue loop before you automate it.

A lot of agentic growth work starts with the tool. This template starts with the buyer path: signal, offer, proof, distribution, capture, ledger and kill rule.

Use it to brief an async audit, review an internal growth system, or write a no-link public reply that helps before it sells. Everything here is copyable and runs in the browser.

Copy the teardown template Read the market map Use the brief builder

What this is not

Not a case study. Signal Foundry still shows CHF 0 collected revenue.
Not a lead magnet with hidden tracking. There is no form and no backend submission.
Not an excuse to auto-post links into communities. Manual replies should be useful without the link.
Not a forecast. It is a pressure test for whether a revenue loop is real enough to run.

the seven checks

The teardown sections

1. Market signalWhere does pain show up repeatedly? Public threads, support tickets, search terms, sales calls, churn reasons, competitor gaps. If the source is vague, the loop starts weak.

2. Paid offerWho pays, for what outcome, at what price hypothesis, and why now? “AI growth” is not an offer.

3. Proof assetWhat can a buyer inspect before trusting you? Template, teardown, demo, benchmark, sample report or honest internal proof.

4. Distribution pathWhich channel repeats without spam or spend? Owned pages, public replies, partner assets, SEO, communities, product directories.

5. Capture pathWhat should an interested buyer do next? Copy a brief, request a teardown, ask a question, book later, or pay once that is approved.

6. Revenue ledgerCount cash, committed revenue, qualified opportunities, resource requests and killed assumptions. Do not count vibes.

7. Kill ruleWhat will you stop or change after 14 days if no qualified signal appears?

manual-safe public reply shape

Use the rule, not the pitch

In a public thread, lead with the loop map. Leave the link out unless someone asks for a template or the context clearly welcomes resources.

no-link defaultvalue firstno personal data

best current Signal Foundry bottleneck

Capture is still the weak link

The public assets now explain the method. The revenue bottleneck is not more content volume; it is a safe, explicit way for interested people to request or buy a teardown.

fact: CHF 0 ledgerassumption: async teardown can sell

copyable teardown template

Paste this into a doc, issue or async brief

Revenue loop teardown template

Scope
- Product / URL:
- Buyer / ICP:
- Current offer:
- Price hypothesis:
- Constraint: zero budget / low budget / no outbound / no tracking / other:

1) Market signal
- Where does buyer pain show up repeatedly?
- Source examples / URLs:
- Fact vs assumption:
- Signal strength: red / yellow / green

2) Paid offer
- Named outcome:
- Buyer role:
- Why now:
- Price / package hypothesis:
- Biggest objection:
- Signal strength: red / yellow / green

3) Proof asset
- What can a buyer inspect before trusting the offer?
- Existing proof:
- Missing proof:
- Fastest honest proof asset to ship:
- Signal strength: red / yellow / green

4) Distribution path
- Primary channel for the next 14 days:
- Why this channel is allowed / ethical / non-spam:
- Repeatable action:
- No-link value-first reply or asset angle:
- Signal strength: red / yellow / green

5) Capture path
- What should an interested person do next?
- Current friction:
- Safe next step without backend/tracking if needed:
- Payment/contact decision still needed? yes / no
- Signal strength: red / yellow / green

6) Revenue ledger
- Cash collected:
- Committed / invoiced revenue:
- Qualified opportunities:
- Resource requests / teardown requests:
- Killed assumptions:
- What is explicitly NOT counted:

7) 14-day kill rule
- If no qualified signal appears by:
- We will stop:
- We will tighten:
- We will keep only if:

Highest-leverage fix
- The one leak to fix first:
- Smallest useful action:
- Verification evidence:
- Next decision gate:

Fact / assumption split

Facts: Signal Foundry has public resources, field notes, a market map, a local-only brief builder and a factual CHF 0 revenue ledger. The current public-source scouting produced context, not demand.

Assumption: founders and AI operators who already feel the “busy agents, weak revenue” problem may value a lightweight teardown more than another checker or generic agent build.

Next validation: qualified questions, teardown requests or resource requests from manual, reputation-safe distribution. Views alone do not count.