IdeaScore (ideascore.co) platform help — an AI product-idea validator that turns a rough concept into a structured, decision-ready report: a Signal Scan (a quick visual read of tension and upside), a 0-100 Scoring Grade plus a letter grade (problem urgency, competitive room, execution fit), market and competitor sections, and a one-line next action (interview, prototype, reposition, or a faster no). Its edge in a crowded validator field is a lean, terse output plus cheap prepaid credits (1 free report, then bulk packs, no subscription) built to triage many ideas fast. Use when running an idea through IdeaScore, interpreting its Signal Scan, Scoring Grade, or letter grade, using its next-step verdict, understanding its prepaid-credit pricing, or asking whether it has an API. UI-only — no public API, webhooks, or Zapier. Do NOT use for the tool-agnostic validate-before-building method or comparing validators (use /sales-idea-validation), or building the smoke-test landing page (use /sales-funnel).
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IdeaScore (ideascore.co) platform help — an AI product-idea validator that turns a rough concept into a structured, decision-ready report: a Signal Scan (a quick visual read of tension and upside), a 0-100 Scoring Grade plus a letter grade (problem urgency, competitive room, execution fit), market and competitor sections, and a one-line next action (interview, prototype, reposition, or a faster no). Its edge in a crowded validator field is a lean, terse output plus cheap prepaid credits (1 free report, then bulk packs, no subscription) built to triage many ideas fast. Use when running an idea through IdeaScore, interpreting its Signal Scan, Scoring Grade, or letter grade, using its next-step verdict, understanding its prepaid-credit pricing, or asking whether it has an API. UI-only — no public API, webhooks, or Zapier. Do NOT use for the tool-agnostic validate-before-building method or comparing validators (use /sales-idea-validation), or building the smoke-test landing page (use /sales-funnel).
argument-hint
[describe what you need help with in IdeaScore]
license
MIT
version
1.0.0
tags
["sales","validation","pre-launch","platform"]
IdeaScore Platform Help
IdeaScore (ideascore.co — not the unrelated ideascore.ai TEDx-talk tool) is an AI product-idea
validation tool. You describe a concept, run the AI analysis, and get a structured, decision-ready
report — a Signal Scan (a quick visual read of tension and upside), a 0-100 Scoring Grade
with a letter grade (sample: 68/100 = C) across problem urgency, competitive room, and execution
fit, a market-analysis and competitor-landscape section, a target-audience read, and a
one-line next action (interview, prototype, reposition, or a faster no). Its distinguishing
trait in a crowded field is that the output is lean and terse — "decision-ready, not note-heavy" —
and priced on cheap prepaid credits (1 free report, then bulk packs, no subscription), built to
triage many ideas fast (its own pitch targets studios/advisors filtering client concepts). It's a
fast structured second opinion — not a substitute for real demand validation — and it has no
public API (UI tool).
Step 1 — Gather context
If references/learnings.md exists, read it first for accumulated platform knowledge.
Ask only what you can't infer:
What do you want from IdeaScore?
A) Run an idea through it and interpret the report — Signal Scan, Scoring Grade / letter grade, or a section
B) Understand the prepaid-credit pricing (1 free report → bulk packs, no subscription) and the per-report math
C) Use the one-line next-action verdict (interview / prototype / reposition / stop)
D) Automate or export programmatically (API reality)
What's the real question — "is this idea worth building?" or "how do I use this tool?" If it's
the go/no-go decision, that's /sales-idea-validation (a score is not demand) — route in Step 2.
Are you triaging one idea or many? IdeaScore's cheap bulk credits suit filtering many concepts;
cover the per-report economics in Step 4.
Skip-ahead: if the user wants the validate-before-building method or to compare validators across the
market, route to /sales-idea-validation immediately.
Step 2 — Route or answer directly
If the user's question is about…
Route to
The validate-before-building method, or the go/no-go decision itself
/sales-idea-validation {question}
Comparing IdeaScore against other validators (IdeaCheck, IdeaProof, Validator AI, Informly…)
/sales-idea-validation {question}
Building the smoke-test / fake-door landing page to test real demand
/sales-funnel {question}
Growing a pre-launch waitlist / capturing real demand
/sales-audience-growth {question}
Turning the report's market/audience sections into a real content program
/sales-content {question}
When routing, give the exact command: "This is a {domain} question — run: /sales-idea-validation {original question}"
Otherwise, answer IdeaScore-specific questions using Step 3.
Step 3 — IdeaScore platform reference
Read references/platform-guide.md for the full reference — the report anatomy (Signal Scan, the
0-100 Scoring Grade + letter grade, the three scoring dimensions, market/competitor/audience sections,
the next-action verdict), the prepaid-credit model (1 free report → bulk packs, 1 credit = 1 report, no
subscription) and the per-report math, why the terse "decision-ready" output suits triage, why an AI
score reads directional, and the no-public-API automation reality.
Answer using only the relevant section — don't dump the full reference.
Step 4 — Actionable guidance
Treat the Scoring Grade and letter grade as a directional gut check, not demand. The whole report
is an LLM opinion generated from a short concept description — the 0-100 grade, the market sizing,
and the competitor set are AI estimates, not measured demand. Tell the user to keep the
structured outputs (Signal Scan tension/upside, competitor landscape, target audience, the flagged
risks) to sharpen the pitch, and take the go/no-go from real behavior — a smoke test or pre-sale —
not from the grade. Route the real test to /sales-idea-validation.
Use the terse "decision-ready" output as a triage filter, not a deep report. IdeaScore is
deliberately lean — that's the point: it's built to filter many ideas fast, not to produce a
75-page dossier (contrast /sales-informly) or a seven-module export (contrast /sales-ideacheck).
If the user needs deep sourcing/citations, IdeaScore isn't it — say so and point to a citation-first
validator via /sales-idea-validation. If they're screening a batch of concepts cheaply, it fits.
Do the per-report math on the prepaid credits. It's 1 free report, then prepaid credit packs,
no subscription — 1 credit = 1 report (bulk packs cut the per-report cost). Best-effort at research:
5 for ~$19, 20 for ~$59, 50 for ~$99 (per-report ~$3.80 → ~$1.98). Always flag exact prices as
best-effort and tell the user to confirm current pricing on ideascore.co — the numbers move. There's
no monthly plan, so the choice is only which pack, sized to how many ideas you'll run.
Take the next-action verdict at face value only for direction. The one-line action (interview /
prototype / reposition / a faster no) is a useful nudge, but "interview" and "prototype" both mean
go get real evidence — treat a "stop" as a cheap early filter and any "go" as a prompt to run the
real demand test, not permission to build.
There's no public API — don't plan an integration around it. If asked to automate, batch, or pipe
reports elsewhere, say plainly there's no documented public API, no webhooks, no Zapier/Make, no
MCP, and no documented export format. The only way to get report data out is manually from the
browser (read/copy/screenshot the sections) — there is no supported programmatic or batch path. The
thing worth automating is the real signal (landing-page conversions), not the generated grade — route
that to /sales-idea-validation and /sales-funnel.
If you discover a gotcha or tip not in references/learnings.md, append it there with today's date.
Gotchas
Best-effort from research (2026-07) — IdeaScore's pricing, credit terms, and report sections move; verify at ideascore.co.
Right domain: ideascore.co. The .co is the AI product-idea validator; ideascore.ai is an
unrelated "is your idea TEDx-ready?" speaking tool — don't conflate them.
The Scoring Grade is an AI opinion, not demand. A 0-100 grade + letter grade generated from a
short description validates nothing on its own — follow it with a real-behavior test (smoke test / pre-sale).
Terse by design — it's a triage filter, not a deep report. "Decision-ready, not note-heavy" means
thin sourcing; don't expect citations or a 75-page dossier. Use it to screen many ideas, not to settle one.
Market-size / competitor numbers are AI estimates. Verify any figure against primary sources before
quoting it; the competitor landscape can miss real incumbents or list irrelevant giants.
Prepaid credits, no subscription — 1 credit = 1 report. The 1 free report is one-shot; re-running
a pivoted idea spends another credit. Buy the pack sized to how many ideas you'll actually run.
No public API, no webhooks, no Zapier/Make/MCP. It's a UI tool; there's no supported way to script,
batch, or export programmatically — the report lives in the browser.
Niche indie tool, thin independent review presence. Few third-party reviews — weigh marketing
claims (scoring dimensions, per-report savings) accordingly and confirm the current feature set live.
Related skills
/sales-idea-validation — The tool-agnostic validate-before-building method + the full validator landscape (use this to actually decide build-or-not; a score is not demand)
/sales-ideacheck — IdeaCheck platform help (the closest sibling — a seven-module report exportable to PDF/Word/Excel with three co-existing pricing models; contrast IdeaCheck's fuller report against IdeaScore's lean, triage-oriented output)
/sales-informly — Informly platform help (the opposite end — one idea → a 75+ page report; contrast against IdeaScore's deliberately terse "decision-ready" output)
/sales-funnel — Build the smoke-test / fake-door landing page the real demand test runs on
/sales-audience-growth — Grow a pre-launch waitlist and capture real demand
/sales-content — Turn the report's market/audience sections into a real content/ad program
/sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do -a claude-code
Examples
Example 1: "IdeaScore graded my idea 68/100 (a C) — should I build it?"
User says: "IdeaScore gave my idea a 68 out of 100 and a letter grade of C. Is that a go?"
Skill does: Explains the 0-100 Scoring Grade and letter grade are an LLM opinion generated from a
short description — the grade, market sizing, and competitor set are AI estimates, not demand. Tells
the user to keep the structured parts (Signal Scan tension/upside, competitor landscape, target audience,
risks) to sharpen the pitch, then route the real go/no-go to /sales-idea-validation — a smoke test or
pre-sale where a stranger takes an action — rather than trusting the grade.
Result: The founder earns a real demand signal before building, using IdeaScore's structure, not its grade.
Example 2: Cheapest way to screen a batch of ideas
User says: "I've got 15 ideas to filter down. IdeaScore has a free report and some credit packs — how does the pricing work and is it the right tool?"
Skill does: Explains IdeaScore is prepaid credits, no subscription — 1 free report, then bulk packs,
1 credit = 1 report (best-effort ~5/$19, ~20/$59, ~50/$99; ~$3.80 → ~$1.98 per report), so buy the pack
sized to the batch. Notes its terse "decision-ready" output is built for exactly this — fast triage of
many concepts — and flags the prices as best-effort to confirm on ideascore.co. Adds that the grades are AI
estimates: use them to rank and shortlist, then run a real demand test on the survivors via
/sales-idea-validation.
Result: The user prices the right pack and uses IdeaScore to shortlist, not to decide.
Example 3: Can I export or automate IdeaScore reports? (developer/automation)
User says: "I want to run ideas through IdeaScore and pull the reports into my own dashboard via API."
Skill does: States plainly there's no documented public API, no webhooks, no Zapier/Make, no MCP —
it's a UI tool whose report is used in the browser, so there's no supported way to batch or export
programmatically. Suggests using a tool built for programmatic validation if a pipeline is required, and
notes the thing worth automating is a real demand signal (landing-page conversions), not a generated grade
— pointing to /sales-idea-validation and /sales-funnel.
Result: The user avoids building on a non-existent API and picks a workable path.
Troubleshooting
The grade feels generous / it never really tells me to stop
Symptom: The Scoring Grade and next action read encouraging even for a weak idea.
Cause: The report is a short-prompt LLM output — it pattern-matches to plausible-sounding
encouragement and can invent supporting "facts" (market size, demand).
Solution: Stop treating the grade as the decision. Keep the structured outputs (Signal Scan,
competitor landscape, target audience, risks) and run a real demand test — smoke test or pre-sale — via
/sales-idea-validation. Treat a "stop"/"reposition" verdict as a cheap early filter, not the go/no-go.
I used my free report and want to validate more ideas
Symptom: Expected ongoing access; a second idea (or a re-run after a pivot) asks for a credit.
Cause: 1 credit = 1 report, and there's no subscription — the free report is a single shot.
Solution: Buy a prepaid pack sized to how many ideas you'll run (bulk packs cut the per-report cost).
Finalize each idea's framing before spending a credit so you don't burn one on thin input. Confirm current
prices on ideascore.co.
I want an API or a way to export/automate
Symptom: Want to script IdeaScore or pull reports into another system.
Cause: IdeaScore has no documented public API, webhooks, or iPaaS connectors; it's a web tool.
Solution: There's no supported programmatic path — the report is used in the browser. Use a tool
intended for programmatic use if you need a pipeline, and automate a real demand signal (landing-page
analytics) instead. See /sales-idea-validation.