DimeADozen Platform Help
DimeADozen (dimeadozen.ai) is an AI startup-idea validation report generator. You paste an idea and
get a free 4-dimension idea score (Market / Validation / Execution / Differentiation), then can buy a
keep-forever report — a Starter (7 sections + 3 comparable companies) or a 200+ page
Entrepreneur report with a named competitor set, unit-economics/retention math, a risk register, and a
clear build-or-don't-build verdict. Its differentiators vs sibling validators are the one-time
purchase model (no subscription, credits never expire) and a marketed 800+ URL citations — though
that citation claim and its competitor benchmarks are disputed (see Gotchas). It's a UI web app:
there's no public API — API access exists only on the custom Enterprise tier. A report is an LLM
opinion, not demand.
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 DimeADozen?
- A) Run an idea through the free idea score and interpret the 4 dimensions
- B) Decide whether the paid Starter vs Entrepreneur report is worth buying
- C) Interpret a report you already bought (comp-set, unit economics, the verdict)
- D) Understand the one-time pricing (vs credit/subscription rivals) or the refund guarantee
- E) Export / automate reports, or wire it into your stack (API reality) - What's the real question — "is THIS idea worth building (go/no-go)?" or "how do I use DimeADozen?"
If it's the decision itself, that's/sales-idea-validation(a report is 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} |
| Comparing DimeADozen against other validators (Preuve, Validator AI, IdeaProof, 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} |
| Reddit-based real-demand discovery as its own workflow | /sales-trendseeker {question} |
When routing, give the exact command: "This is a {domain} question — run: /sales-idea-validation {original question}"
Otherwise, answer DimeADozen-specific questions using Step 3.
Step 3 — DimeADozen platform reference
Read references/platform-guide.md for the full reference — the free idea score vs the paid report
tiers, what each tier includes, the one-time/keep-forever pricing and the 14-day guarantee, the
disputed 800+-citation and comp-set-relevance issues, the no-public-API automation reality (Enterprise
custom API/white-label only; no webhooks/Zapier/MCP), and how to get data out of a report.
Answer using only the relevant section — don't dump the full reference.
Step 4 — Actionable guidance
- Treat the report as a sharpening tool, not the decision. The idea score and the report are an
LLM opinion, not demand — DimeADozen produces a confident, structured, often optimistic report
for almost any idea. Tell the user to keep the structured parts (competitor/comp-set, risk
register, unit-economics framing, GTM angle, investor-memo skeleton) to sharpen the pitch and take
the go/no-go from a real behavior test (smoke test / pre-sale), routing the real test to
/sales-idea-validation. - Sanity-check the comp-set and citations for relevance — don't trust them at face value. Reviewers
report niche ideas benchmarked against irrelevant giants (e.g. a small newsletter compared to
Etsy/Airbnb/Uber) and dispute whether the marketed 800+ citations are actually verifiable
source links. Tell the user to open a sample of the cited sources and check each comparable is a
real, relevant competitor before quoting any market-size or retention number; verify figures
against a primary source. - Frame the pricing as one-time / keep-forever and best-effort. DimeADozen's differentiator is
one-time purchase, no subscription, credits never expire (free score → Starter → Entrepreneur →
a multi-report pack → custom Enterprise). Present all specific prices as best-effort — confirm at
dimeadozen.ai — and note the 14-day money-back guarantee if the user is deciding whether to buy. - On "is the big report worth it?" — anchor value on decision-usefulness, not page count. A 200+
page report is not more valid than a short one; steer the user to buy the tier only if they'll use the
structured outputs to sharpen the pitch, and remind them the verdict still needs a real demand test. - Weigh the one-time model against how often they'll re-run. Because each report is a separate
purchase, a founder who re-validates the same idea across several pivots may pay repeatedly — if
they'll iterate a lot, compare against credit-pack (IdeaProof, ReadySetLaunch) or lower-cost
per-report/subscription rivals (Informly, Preuve) via/sales-idea-validation. - 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, no MCP on the self-serve
plans; API access and white-label exist only on the custom Enterprise tier (contact sales). Then
give the user two concrete moves: (1) the workable path today — download/copy the report and
parse it yourself (there's no supported self-serve export); and (2) redirect the automation effort
to a real demand signal — explicitly tell them to instrument landing-page conversions from a smoke
test and wire that into their CRM/warehouse, because the conversion event (not the AI report) is
what's worth automating. Route the demand-signal build to/sales-funneland/sales-idea-validation.
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) — DimeADozen's pricing, report scope, and citation claims move; verify at dimeadozen.ai.
- The report is an LLM opinion, not demand. A confident "build" verdict and a high idea score
validate nothing on their own — follow with a real-behavior test (smoke test / pre-sale). - Reports read optimistic. Independent reviewers note the output can feel like feel-good
encouragement; keep the structured parts, discard the verdict. - Comp-set relevance is inconsistent. Niche ideas have been benchmarked against irrelevant giants
(Etsy/Airbnb/Uber for a small newsletter) — check each comparable is a real, relevant competitor. - The "800+ citations" claim is disputed. Marketing touts source-linked claims, but critics report
reports without verifiable clickable sources — open and check a sample before quoting any figure. - Pricing is one-time / keep-forever but best-effort. Free score → Starter → Entrepreneur → multi-
report pack → custom Enterprise; no subscription, credits never expire; 14-day money-back
guarantee. Confirm current numbers on the site. - No public API on self-serve plans. API access and white-label are Enterprise/custom only; no
webhooks, Zapier/Make, or MCP — get data out by downloading/parsing the report.
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 report is not demand)/sales-preuve— Preuve AI platform help (source-linked validator citing every claim across 50+ live sources; lower-cost per-report + a monitoring tier — a citations-you-can-verify alternative)/sales-ideaproof— IdeaProof platform help (credit-based 120s validation + pre-launch suite — a credit-model alternative to DimeADozen's one-time report)/sales-informly— Informly platform help (per-report PDF validation bundle — a lower-cost per-report alternative)/sales-validator-ai— Validator AI platform help (free conversational validator + score — a free-first alternative)/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: "DimeADozen scored my idea high and said build it — should I?"
User says: "I ran my idea through DimeADozen, got a strong score and a 'build' verdict. Good to go?"
Skill does: Reframes the score and verdict as an LLM opinion, not demand — the report reads
optimistic and can "validate" almost anything. Tells the user to keep the structured parts (comp-set,
risk register, unit-economics, GTM angle) to sharpen the pitch and earn a real verdict with a smoke test
to a pre-set conversion threshold, then a pre-sale — routing the real test to /sales-idea-validation
and the landing page to /sales-funnel.
Result: The founder gets a go/no-go from stranger behavior, using the report's structure, not its verdict.
Example 2: "Is the 200+ page Entrepreneur report worth $129, and are the citations real?"
User says: "Should I pay for the big DimeADozen report? It claims 800+ citations."
Skill does: Anchors value on decision-usefulness, not page count, and frames pricing as one-time
/ keep-forever, best-effort (with the 14-day money-back guarantee). Warns the citation claim is
disputed and that niche ideas can get irrelevant comparables, so the user should open a sample of
sources and confirm each competitor is real and relevant before trusting any number. Suggests comparing
the one-time model against credit/subscription rivals via /sales-idea-validation if they'll re-run per pivot.
Result: The user buys (or skips) with clear eyes and knows to audit the comp-set and sources.
Example 3: Can I pull DimeADozen reports into my CRM via an API? (developer/automation)
User says: "I want to auto-export DimeADozen reports into our data warehouse via API."
Skill does: States plainly there's no documented public API, no webhooks, no Zapier/Make, no MCP
on self-serve plans — API access and white-label are Enterprise/custom only (contact sales), so
there's no supported self-serve way to export programmatically. Suggests the workable path: download/copy
the report and parse it yourself, and automate a real demand signal (landing-page analytics) instead.
Routes the demand pipeline thinking to /sales-idea-validation.
Result: The user avoids building on a non-existent self-serve API and picks a workable path.
Troubleshooting
The report is glowing but I don't trust it
Symptom: A confident, upbeat report with a high score and a "build" verdict that feels too easy.
Cause: The report is an LLM opinion that pattern-matches to plausible encouragement — reviewers note
it reads optimistic and can "validate" almost anything.
Solution: Keep the structured outputs (comp-set, risks, unit economics, positioning), discard the
verdict, and earn a real one — a smoke test to a pre-set conversion threshold, then a pre-sale — via
/sales-idea-validation.
My niche idea was compared to Etsy/Airbnb/Uber
Symptom: The comp-set benchmarks a small/niche idea against giant, irrelevant companies.
Cause: The comparable-company selection is inconsistent for niche ideas, and the marketed "800+
citations" may not all be verifiable, relevant sources.
Solution: Manually vet the comp-set — open a sample of the cited sources and confirm each comparable
is a real, relevant competitor before quoting any market-size or retention figure; verify numbers against
a primary source. Cross-check demand with /sales-trendseeker.
I want an API or a way to export/automate the reports
Symptom: Want to script DimeADozen or push reports into another system.
Cause: DimeADozen has no public API, webhooks, or iPaaS connectors on self-serve plans; API
access and white-label are Enterprise/custom only (contact sales).
Solution: Download/copy the report and parse it yourself; there's no supported self-serve export.
Automate a real demand signal (landing-page analytics) instead. See /sales-idea-validation.
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