ReadySetLaunch (readysetlaunch.ai) platform help — an AI startup-idea validator built to interrogate, not flatter. Its Launch Control walks founders through 13 questions across 7 pillars (problem, customer, demand, differentiation, execution, distribution, monetisation), surfacing the gaps in weak answers instead of handing out an inflated score, grounded in a database of failed, unicorn, and acquired startups. Deliberately slow (30–45 min/idea), anti-gaslighting, credit-based, no subscription. Use when running an idea through ReadySetLaunch / Launch Control, interpreting its pillar-level gaps and launch-readiness report, comparing its interrogation model against score-in-seconds validators like IdeaProof or Validator AI, deciding whether credit packs are worth it, or asking whether it has an API to export reports. UI-only, no public API. Do NOT use for the validate-before-building method or comparing validators (use /sales-idea-validation), or building the smoke-test landing page (use /sales-funnel).
ReadySetLaunch (readysetlaunch.ai) platform help — an AI startup-idea validator built to interrogate, not flatter. Its Launch Control walks founders through 13 questions across 7 pillars (problem, customer, demand, differentiation, execution, distribution, monetisation), surfacing the gaps in weak answers instead of handing out an inflated score, grounded in a database of failed, unicorn, and acquired startups. Deliberately slow (30–45 min/idea), anti-gaslighting, credit-based, no subscription. Use when running an idea through ReadySetLaunch / Launch Control, interpreting its pillar-level gaps and launch-readiness report, comparing its interrogation model against score-in-seconds validators like IdeaProof or Validator AI, deciding whether credit packs are worth it, or asking whether it has an API to export reports. UI-only, no public API. Do NOT use for the 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 ReadySetLaunch]
license
MIT
version
1.0.0
tags
["sales","validation","pre-launch","platform"]
ReadySetLaunch Platform Help
ReadySetLaunch (readysetlaunch.ai) is an AI startup-idea validator built to interrogate, not flatter.
Its core product, Launch Control, walks a founder through 13 structured questions across 7 pillars
(problem clarity, target customer, demand signal strength, differentiation, execution feasibility,
distribution readiness, monetisation viability). Each question breaks into plain-English sub-prompts that
show what a good answer looks like; on weak answers it surfaces the specific gap and coaches you to
close it — rather than emitting a single feel-good score. Every signal is graded against a database of
real startup outcomes (failed, successful, unicorn, acquired). It's deliberately slow (~30–45 min
per idea — "30 minutes on purpose"), explicitly anti-gaslighting (no engineered encouragement, no
hallucinated confidence), and credit-based with no subscription. It is a UI tool — no documented
public API. It also publishes competitor review pages (/compare/{tool}/review/) and a startup
case database (/cases/).
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 ReadySetLaunch?
A) Run an idea through Launch Control and interpret the pillar-level gaps / launch-readiness report
B) Understand the 7-pillar / 13-question method and how the "surface the gap" scoring works
C) Understand the credits system — free credits, packs, no subscription — and whether it's worth it
D) Export or automate the report (API / integration 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 itself, that's /sales-idea-validation (a validator's output is a gut check, not
demand) — route in Step 2.
Skip-ahead: if the user wants the validate-before-building method or to compare validators across the
market, that's a /sales-idea-validation question — route 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}
A full cross-market comparison of validators (ranking IdeaProof, Validator AI, WorthBuild, DimeADozen… to pick one) — but answer a quick ReadySetLaunch-vs-X how-they-differ inline first (Step 4)
/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}
When routing, give the exact command: "This is a {domain} question — run: /sales-idea-validation {original question}"
Otherwise, answer ReadySetLaunch-specific questions using Step 3.
Step 3 — ReadySetLaunch platform reference
Read references/platform-guide.md for the full reference — the 7 pillars and 13-question structure,
how the gap-surfacing scoring differs from a single score, the failure/exit case database it grades
against, the credit-and-packs pricing (no subscription), the review/case content it publishes, and the
no-public-API automation reality.
Answer using only the relevant section — don't dump the full reference.
Step 4 — Actionable guidance
Frame it as the anti-inflation validator — the value is the gaps, not a score. Unlike
score-in-seconds tools (IdeaProof, Validator AI) that hand out a high number (medians run ~78/100),
Launch Control is built to surface where your answers are weak across the 7 pillars. Tell the user
the useful output is the specific gaps and the pillar-level signal, not a pass/fail — its whole
pitch is "no AI gaslighting," so read it for what it flags, not for reassurance.
When asked how it compares to a fast-score validator, give the model-level contrast inline first, then offer the cross-market route. If the user asks ReadySetLaunch vs IdeaProof / Validator AI (or "is it worth it over X"), answer the how-they-differ directly: ReadySetLaunch interrogates across 7 pillars over ~30–45 min and surfaces gaps, whereas a fast-score tool like IdeaProof produces a score in seconds and bundles a broader pre-launch toolkit (plan/brand/logo/deck/ads). Tell the user to pick by rigor-vs-speed, not by free-credit count — then offer /sales-idea-validation for a full validator-market comparison. Don't just route the question away.
It's still an AI opinion — the go/no-go is a real demand test. Even a rigorous, database-grounded
interrogation is a structured gut check, not proof of demand. A "strong signal" across pillars does
not mean strangers will pay. Tell the user to take the pillar gaps as a sharpening tool and put the
actual go/no-go on a smoke test or pre-sale — route the decision to /sales-idea-validation and the
build to /sales-funnel.
Set expectations on the time cost — that's the point. It deliberately takes ~30–45 minutes per
idea and makes you write real answers; it's not a 120-second score. If the user wants a fast
throwaway number, this is the wrong tool; if they want to be forced to think, it's the right one.
Present pricing as best-effort and credit-based with no subscription. Best-effort: 3 free credits
(no card), then one-time packs (from ~£14.99), and credits never expire — there is no
monthly plan. Prices move and packs/credit counts aren't fully published, so tell the user to
confirm current packs and per-idea credit cost at readysetlaunch.ai/pricing rather than treating
these figures as fixed. Model cost as "how many ideas will I run," not a recurring fee.
There's no public API — don't plan an integration around it. If asked to export or automate, say
plainly there's no documented public API, no webhooks, no Zapier/Make — it's a UI tool. The
workable fallbacks: copy/save the launch-readiness report manually from the app, and if they need
validation scripted, use a tool built for programmatic use. The thing actually worth automating is the
real signal (landing-page conversions), not the report — route that to /sales-funnel.
Distinguish the product from its review/case content. ReadySetLaunch also publishes competitor
reviews (/compare/…) and a startup case database (/cases/). If the user is reading one of those
pages, note it's the vendor's own comparison content (it positions Launch Control favourably) — useful
context, not a neutral benchmark.
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) — ReadySetLaunch's pillars, credit packs, and pricing move; verify at readysetlaunch.ai.
It surfaces gaps, it doesn't validate. By design there's no single confidence score to celebrate —
the output is where your thinking is weak across the 7 pillars. A "strong signal" is still an AI
judgement, not demand; follow it with a real-behavior test.
It's slow on purpose (~30–45 min/idea). This is a feature, not a bug — if a user expects a
120-second score they'll bounce. Set the expectation up front.
Credit-based, no subscription. You buy one-time packs (best-effort from ~£14.99); credits never
expire and there's no monthly plan. Model cost as ideas-run, not a recurring fee. Confirm packs at
readysetlaunch.ai/pricing — exact credit-per-idea counts aren't fully published.
No documented public API, no webhooks, no Zapier/Make. It's a web tool — you can't script or export
it programmatically; copy/save outputs manually.
/compare/ and /cases/ pages are the vendor's own content. The competitor reviews and case
database live on ReadySetLaunch's site and position Launch Control favourably — treat as vendor
comparison, not a neutral source.
Grounding data is a curated database, not live scraping. Signals are graded against a knowledge base
of past startup outcomes — strong for pattern-matching to known failures/exits, but it's not real-time
market demand.
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 validator's output is a gut check, not demand)
/sales-ideaproof — IdeaProof platform help (the score-in-120s + pre-launch-suite contrast to ReadySetLaunch's interrogation model)
/sales-validator-ai — Validator AI platform help (a free score-and-report validator — the fast-score sibling)
/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-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: "ReadySetLaunch flagged gaps in my demand and distribution pillars — is my idea dead?"
User says: "Launch Control said my demand-signal and distribution answers were weak. Should I drop the idea?"
Skill does: Explains the flagged gaps are the point — the tool surfaces where the thinking is thin
(here: no evidence anyone wants it, no plan to reach them), not a verdict. Tells the user to treat the two
weak pillars as a to-do list (go get demand evidence, name a distribution channel) and to settle the
actual go/no-go with a real test — a smoke-test landing page or pre-sale — via /sales-idea-validation,
not by re-running the questionnaire until the gaps disappear.
Result: The founder uses the gaps to sharpen the plan and gets a real go/no-go from stranger behavior.
Example 2: How do the credits work, and is it worth it vs IdeaProof? (pricing / comparison)
User says: "ReadySetLaunch gives 3 free credits with no subscription. How does that compare to IdeaProof's credits, and which should I use?"
Skill does: Lays out ReadySetLaunch as credit-based with no subscription (best-effort: 3 free
credits no card, one-time packs from ~£14.99, credits never expire) and contrasts the model, not just
price — ReadySetLaunch interrogates across 7 pillars in ~30–45 min and surfaces gaps, whereas IdeaProof
scores in ~120s and bundles brand/logo/deck assets. Recommends ReadySetLaunch when the goal is to pressure-
test thinking and IdeaProof when the goal is fast breadth, and tells the user to confirm current packs at
readysetlaunch.ai/pricing.
Result: The user picks by what they actually need (rigor vs speed/assets), not by the free-credit count.
Example 3: Can I export or automate ReadySetLaunch reports? (developer/automation)
User says: "I want to run 20 ideas through ReadySetLaunch and pull the launch-readiness reports into a spreadsheet via API."
Skill does: States plainly there's no documented public API, no webhooks, no Zapier/Make — it's a
UI tool, so there's no supported way to batch or export programmatically. Suggests copying/saving each
report manually, or using a tool built for programmatic validation if scripting is essential, and notes the
thing worth automating is a real demand signal (landing-page conversions), not a generated report —
pointing to /sales-idea-validation and /sales-funnel.
Result: The user avoids building on a non-existent API and picks a workable path.
Troubleshooting
"It didn't give me a score — just a list of gaps"
Symptom: The user expected a single viability number and got pillar-level gap feedback instead.
Cause: By design, Launch Control surfaces gaps rather than emitting a feel-good score — that's the
anti-gaslighting positioning.
Solution: Read the gaps as the deliverable. Close the weak pillars one at a time, then take the go/no-go
to a real demand test (smoke test / pre-sale) via /sales-idea-validation — don't re-answer until the
gaps vanish, which just games the tool.
"This took 40 minutes — I wanted a quick check"
Symptom: The process felt slow compared to a 120-second validator.
Cause: ReadySetLaunch is deliberately slow (~30–45 min/idea) — the friction is the feature.
Solution: If the user wants a fast throwaway number, a score-in-seconds tool (IdeaProof, Validator AI)
fits better — route via /sales-idea-validation. If they want to be forced to think through the 7 pillars,
ReadySetLaunch is the right tool; budget the time.
"I want an API / to export the report automatically"
Symptom: Wants to script ReadySetLaunch or pull reports into another system.
Cause: ReadySetLaunch has no documented public API, webhooks, or iPaaS connectors — it's a web tool.
Solution: Copy/save the launch-readiness report manually, or use a tool intended for programmatic use;
automate a real demand signal (landing-page analytics) instead. See /sales-idea-validation.
