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.
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: establish whether the pain behind this idea is real, frequent, and monetizable — from what people say unprompted and what they already spend — not from imagined personas.
Research pass: read the web and any 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.
collect 15–30 real quotes about this pain from reviews, forums, and social posts; note recency and how often it recurs
duct-tape in the wild: spreadsheets, automation chains, hired help, internal tools; every workaround is a purchase order waiting for a product
what partial or adjacent solutions cost and their apparent adoption; people paying badly beats people not paying at all
the query language sufferers use and its apparent direction; job posts that exist to do this task manually
nightmare, hours every week, compliance, losing revenue — versus mild-annoyance vocabulary; quote the difference
daily, per-deal, monthly-close, annual; pain without a recurring trigger churns
where evidence should exist but doesn't; absence in the obvious places is data too
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.
State the pain precisely.
Verbatim complaints — collect 15–30 real quotes about this pain from reviews, forums, and social posts.
Grade the pain.
Create DEMAND.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:pain-demand-mining.
/plugin marketplace add GhostlyGawd/goal-prompts/plugin install goal@goal-promptsOr install only this Goal Prompt as /goal-pain-demand-mining:
curl -fsSL https://goal-prompts.vercel.app/install | BRIEF=62 shLet an agent fetch it mid-conversation, or pull the raw Goal Prompt by URL.
https://goal-prompts.vercel.app/raw/62.mdNothing hidden — this is the whole Goal Prompt, verbatim. Read it in a minute, edit it, or copy it as-is.
# Goal: Pain & Demand Mining You are working inside this repo — the research workspace for this venture. Mission: establish whether the pain behind this idea is real, frequent, and monetizable — from what people say unprompted and what they already spend — not from imagined personas. Research pass: read the web and any reports at this root; your only write is the report file. Every factual claim carries a source link and access date. ## Phase 1 — Define the pain hypothesis - State the pain precisely: who hurts, when, doing what — from the operator's message or the reports at this root. - List where evidence would live if the pain were real: which review sites, forums, communities, job boards, and search patterns. This list is the search plan. ## Phase 2 — Mine through 7 lenses 1. **Verbatim complaints** — collect 15–30 real quotes about this pain from reviews, forums, and social posts; note recency and how often it recurs 2. **The workaround census** — duct-tape in the wild: spreadsheets, automation chains, hired help, internal tools; every workaround is a purchase order waiting for a product 3. **Existing spend** — what partial or adjacent solutions cost and their apparent adoption; people paying badly beats people not paying at all 4. **Search and hiring signals** — the query language sufferers use and its apparent direction; job posts that exist to do this task manually 5. **Severity markers** — nightmare, hours every week, compliance, losing revenue — versus mild-annoyance vocabulary; quote the difference 6. **Frequency and trigger** — daily, per-deal, monthly-close, annual; pain without a recurring trigger churns 7. **The silence test** — where evidence should exist but doesn't; absence in the obvious places is data too ## Phase 3 — Curate - Grade the pain: severity × frequency × evidence density × spend proof, arithmetic visible. - Write the honest counter-read of the same evidence — the interpretation under which this pain is not worth a company. ## Phase 4 — Report Create `DEMAND.md` at repo root: 1. **The evidence wall** — quotes, linked and dated, grouped by sub-pain 2. **Spend and workaround table** — solution · price · adoption signal 3. **The verdict** — graded, with the disconfirming read given equal column inches 4. **The ten people** — where to find ten sufferers to actually talk to this week Start the report with today's date. If `DEMAND.md` already exists from a previous run, read it first and lead with what changed since. ## Rules - Real quotes with links; paraphrase is contamination - The disconfirming read is mandatory, not decorative - 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 whether to proceed, pivot the pain, or drop it
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.
Everyone already fighting for this money — features, pricing, positioning, and traction compared, their customers' complaints mined, and the gaps nobody covers.
Bottom-up sizing with the arithmetic shown, growth read from primary signals, and the why-now case argued both ways — no analyst-deck TAM theater.
Runs inside these playbooks — curated sequences you can launch with one paste: