Why this survives contact with incumbents and arithmetic — monetization options, napkin unit economics, defensibility paths, and the kill risks named out loud.
Free & open · no signup · read-only — it ends by asking · nothing leaves your machine
You are working inside this repo — the research workspace for this venture. Mission: pressure-test survivability — how it makes money, whether the unit economics work at wedge scale, what compounds into a moat, and the specific ways this dies.
Research pass: read the web and the reports at this root; your only write is the report file. Every factual claim carries a source link and access date.
Phase 2 sweeps the codebase through every one of these, citing file and line for each finding.
which revenue model matches the buying rituals and the value event; name the mismatches, like annual contracts sold against a sporadic pain
price × plausible conversion versus cost to serve and cost to acquire, as sourced ranges; find where the model breaks
what compounds here: proprietary data, network effects, integration lock, workflow depth, brand-in-niche, regulatory blessing — each with the honest timeline it needs
for the top two competitors: could they ship this in a quarter, and would their pricing and positioning let them; the strategy-tax read
the APIs, marketplaces, or models this depends on, and the historical repricing behavior of those dependencies
can the wedge be reached with the operator's actual resources; the choke points: sales-cycle length, compliance, capital
the three to five most probable causes of death, each paired with an early-warning signal worth watching
One structured report at the repo root — or in reports/, if you keep one — the same shape every time, ready for a teammate — or the optional Studio — to act on.
Every Goal Prompt follows the same four steps, so results are consistent and repeatable — no matter which one you run.
Pull the wedge and pricing posture from POSITIONING.md, the buying rituals from NICHE.md, and the incumbent moats from…
Model fit — which revenue model matches the buying rituals and the value event.
Rule on each model candidate.
Create MOAT.md at repo root.
Copy it and paste it into your agent inside the repo you want checked.
Install the goal plugin once — two commands — then just type /goal:moat-model-check.
/plugin marketplace add GhostlyGawd/goal-prompts/plugin install goal@goal-promptsOr install only this Goal Prompt as /goal-moat-model-check:
curl -fsSL https://goal-prompts.vercel.app/install | BRIEF=66 shLet an agent fetch it mid-conversation, or pull the raw Goal Prompt by URL.
https://goal-prompts.vercel.app/raw/66.mdNothing hidden — this is the whole Goal Prompt, verbatim. Read it in a minute, edit it, or copy it as-is.
# Goal: Moat & Model Check You are working inside this repo — the research workspace for this venture. Mission: pressure-test survivability — how it makes money, whether the unit economics work at wedge scale, what compounds into a moat, and the specific ways this dies. Research pass: read the web and the reports at this root; your only write is the report file. Every factual claim carries a source link and access date. ## Phase 1 — Assemble the premises - Pull the wedge and pricing posture from POSITIONING.md, the buying rituals from NICHE.md, and the incumbent moats from COMPETITORS.md, where present. - State the revenue-model candidates: subscription, usage, transaction take, marketplace, services-into-product. ## Phase 2 — Audit through 7 lenses 1. **Model fit** — which revenue model matches the buying rituals and the value event; name the mismatches, like annual contracts sold against a sporadic pain 2. **Napkin unit economics** — price × plausible conversion versus cost to serve and cost to acquire, as sourced ranges; find where the model breaks 3. **Moat candidates** — what compounds here: proprietary data, network effects, integration lock, workflow depth, brand-in-niche, regulatory blessing — each with the honest timeline it needs 4. **Incumbent response** — for the top two competitors: could they ship this in a quarter, and would their pricing and positioning let them; the strategy-tax read 5. **Platform and supplier risk** — the APIs, marketplaces, or models this depends on, and the historical repricing behavior of those dependencies 6. **Founder-scale reality** — can the wedge be reached with the operator's actual resources; the choke points: sales-cycle length, compliance, capital 7. **The kill list** — the three to five most probable causes of death, each paired with an early-warning signal worth watching ## Phase 3 — Curate - Rule on each model candidate; pick the survivor and defend it. - Convert every kill risk that permits it into a cheap pre-test runnable before real building starts. ## Phase 4 — Report Create `MOAT.md` at repo root: 1. **Model verdicts** — the candidates, compared 2. **The napkin** — unit economics with the arithmetic visible 3. **Moat and response** — what compounds, who reacts, and how fast 4. **Kill list** — ranked, with tripwires and pre-tests Start the report with today's date. If `MOAT.md` already exists from a previous run, read it first and lead with what changed since. ## Rules - Optimism is allowed in the plan, never in the arithmetic - Every moat claim states its compounding mechanism and timeline, or gets demoted to head start - No discernible product or idea to research in this repo? Say so in a one-paragraph null report and stop — a null result is a valid finding. - If a `reports/` directory exists at the repo root, write the report there instead of the root. - Before asking, present the top findings as a ranked list in plain words - Report only — end by asking which risks to pre-test before the verdict
reports/ directory exists at the repo root, write the report there instead of the root.The candidate field. Turns your edges, interests, and constraints plus live market signals into 10-15 scored venture candidates — divergence before any deep dive.
One niche, fully mapped — the players, buyers, channels, watering holes, jargon, money flows, and unwritten rules — before you decide to enter it.
Proof people actually hurt — verbatim complaints mined from reviews and forums, search and hiring signals, and what they already pay to make the pain stop.
Everyone already fighting for this money — features, pricing, positioning, and traction compared, their customers' complaints mined, and the gaps nobody covers.
Runs inside these playbooks — curated sequences you can launch with one paste: