---
name: sales-idea-validation
description: "Validating a startup or product idea before you build it — the methodology plus the AI-validator tool landscape for first-time founders, makers, and vibe coders. Covers the validate-before-you-code workflow (problem and demand research, customer interviews, market sizing, willingness-to-pay), the crucial gap between an AI \"idea score\" and real demand, and how to run a fake-door / smoke test, a pre-sale, and a waitlist to get evidence real people want it. Use when you want to validate a startup idea, decide whether an idea is worth building, get a build-or-don't-build verdict, avoid building something nobody wants, interpret an AI validation score, run a smoke test or fake-door test, pre-sell before building, or choose between AI idea-validation tools (Validator AI, DimeADozen, IdeaProof, Trend Seeker, and similar). Do NOT use for growing a pre-launch waitlist audience (use /sales-audience-growth) or building the landing page itself (use /sales-funnel)."
argument-hint: "[describe your idea and what evidence you have so far]"
license: MIT
version: 1.0.86
tags: [sales, validation, pre-launch, strategy]
---

# Idea Validation

Help the user find out whether real people want their idea **before** they spend weeks building it.
Tool-agnostic: covers the evidence ladder (problem → demand → willingness-to-pay), how to read an AI
"idea score" without being fooled by it, and how to run cheap real-world tests (smoke test, pre-sale,
waitlist). The core message: **an AI validator is a gut check, not proof — proof is a stranger taking
an action (an email, a click on "buy", a pre-order).**

## Step 1 — Gather context

Ask only what you can't infer:

1. **What's the idea, in one sentence?** Who's it for and what problem does it solve?
2. **What evidence do you already have?** (multi-select) A hunch · talked to potential users · an AI
   validation score · a landing page · a waitlist · someone offered to pay.
3. **What's the real question you're trying to answer?**
   - A) Is this problem real / painful enough? (problem validation)
   - B) Do enough people want a solution? (demand validation)
   - C) Will they pay, and how much? (willingness-to-pay)
   - D) Should I build this at all — go / no-go?
4. **How much time/money before you'd build?** (Most validation costs under a few hundred dollars and
   1–3 weeks.) And **can you build it yourself** (vibe coder) or are you paying someone?

Skip-ahead: if the user already has a landing page and just wants to test demand, jump to Step 3's
smoke-test section.

## Step 2 — The validation method (the evidence ladder)

Climb from cheapest/weakest to strongest evidence. Stop as soon as you have a clear no; keep going for a yes.

1. **Problem research (cheap, weak alone).** Confirm the problem exists and hurts: read where your
   users already complain (Reddit, niche communities, support forums, review sites), search volume,
   and existing paid alternatives. *No existing solutions* is usually a red flag (no market), not a gold mine.
2. **Customer conversations (do ~10).** Talk to real target users about their problem — **not your
   idea**. Ask about the last time they hit the problem and what they did. People are polite about
   ideas and honest about their past behavior; mine the behavior.
3. **AI idea validation (instant, directional).** Run the idea through an AI validator for a fast
   structured second opinion (score, market size, competitors, risks, GTM angle). Treat it as a
   **hypothesis generator and blind-spot check, not evidence** — the model can sound confident about
   things it invented. Use it to sharpen the pitch and find competitors, then go get real signal.
4. **Demand test / smoke test (real signal).** A fake-door / smoke-test landing page describes the
   product as if it exists and measures whether strangers take an action — join a waitlist or click
   "Get started / Buy". Drive a little traffic (a community post, a small ad budget) and read the
   conversion. A commonly cited bar is **~5%+ of targeted visitors** taking the action = active demand.
5. **Willingness-to-pay / pre-sale (strongest).** Ask for money before it's built: a pre-order, a
   "pay $X now for lifetime/50% off", a paid pilot. **Credit cards are the truth** — a pre-sale that
   converts beats any score. Refund cleanly if you decide not to build.

**How much signal is enough?** More committed = more evidence. An email < a click on "buy" < a card
entered. One pre-sale from a stranger outweighs a 9/10 AI score. Decide a go/no-go threshold *before*
you run the test so you don't rationalize a weak result.

## Step 3 — Tool landscape

Two different jobs — don't confuse them:

- **AI idea validators** (instant AI opinion on the idea): fast, broad, directional; the risk is
  confident hallucination. Good for a first-pass gut check, competitor list, and pitch sharpening.
- **Real-demand tools** (measure what strangers actually do): landing-page builders + waitlists +
  ads + pre-sale checkout. This is where truth lives.

**Read `references/platforms.md`** for the full tool landscape — every validator, persona /
synthetic-research tool, discovery catalog, business-plan generator, and real-demand test in the
market, each classified as *AI opinion* vs *measures real behavior*, plus the enterprise-only
synthetic-research ceiling (Simile & cohort) and which self-serve tools a solo founder can actually
run. Pull the rows for the tools the user names; don't dump the whole table.

**Read the AI score critically.** Two validators will disagree on the same idea, and an LLM will
happily rationalize a bad idea. Use AI for structure and blind spots; use a smoke test / pre-sale for
the decision.

## Step 4 — Actionable guidance

- **Lay out the evidence ladder cheapest-first.** Give the user the ordered sequence — problem
  research → ~10 behavior-focused customer conversations → an AI validation (directional) → a
  fake-door / smoke-test landing page → a pre-sale (willingness-to-pay) — and tell them to stop at the
  first clear *no* and keep climbing on a *yes*. Cheaper/weaker signal first, strongest (money) last.
- **Sort every tool into "AI opinion" vs "measures real behavior," and keep the validator's structured
  outputs.** When the user names a tool, classify it: AI idea validators (Validator AI, DimeADozen,
  IdeaProof, …) give an instant opinion that can be confidently wrong; real-demand tests (a landing
  page + waitlist, or Reddit-signal tools like Trend Seeker) measure what strangers actually do — the
  decision belongs to the latter. From any AI validator, **keep the structured parts (competitor list,
  risks, positioning, customer-objection simulation) to sharpen the pitch and discard the verdict.** A
  gap-surfacing *interrogator* (ReadySetLaunch, which flags weak pillars instead of a feel-good score) is
  still AI opinion — its gaps are a sharpening tool, not demand; the go/no-go stays with real behavior.
- **Anchor the decision on real behavior, not an AI score.** Whatever tool the user ran, tell them an
  AI validator is a directional gut check that can hallucinate — the go/no-go must rest on a stranger
  taking an action (waitlist email, "buy" click, or a pre-order). Route the real test to
  `/sales-funnel` (build the page) and `/sales-audience-growth` (drive & capture signups).
- **Push toward willingness-to-pay early.** The strongest cheap signal is money: propose a pre-sale or
  paid pilot ("pay now to lock in lifetime/50% off"), and refund if they don't ship. A single paying
  stranger outweighs a 9/10 score.
- **Set the go/no-go threshold before testing.** Have the user commit to a number first (e.g. "≥5% of
  targeted visitors join, or ≥N pre-orders") so a weak result can't be rationalized after the fact.
- **Validate the problem by past behavior, not the idea.** In interviews, ask about the last time they
  hit the problem and what they did — people flatter ideas but reveal truth in behavior. Aim for ~10 conversations.
- **Cross-check any AI validator with a second source.** Run a second validator or a real demand signal
  (e.g. `/sales-trendseeker` for Reddit demand); disagreement between them is the useful information.
- **Treat "no competitors" as a warning, not a win** — usually it means no market or bad search, not a
  clear field. Have them look harder for how people solve it today (including spreadsheets and duct tape).

## Gotchas

*Best-effort from research (2026-07) — the AI-validator tool set churns fast; verify current tiers.*

- **AI validators hallucinate with confidence.** A high score is not demand; the model can invent
  market sizes and "validate" almost anything. Always follow with a real-behavior test.
- **Two tools, two verdicts.** Idea validators disagree on the same input — no single score is truth.
- **Vanity signups aren't willingness-to-pay.** Free waitlist emails are weak; a card/pre-order is strong.
  Weight your evidence by how much it costs the person to give.
- **Surveys lie, behavior doesn't.** "Would you use this?" over-reports; a click on "buy" or money down
  under-reports honestly. Prefer observed actions to stated intentions.
- **"No competition" usually = no market.** Reframe the absence of alternatives as a demand red flag.
- **Don't outsource the decision to a bot.** The tools inform; the go/no-go is a threshold the founder
  sets and a test the market answers.

## Related skills

- `/sales-validator-ai` — Validator AI platform help (free AI idea validator: score, market size, customer simulation)
- `/sales-preuve` — Preuve AI platform help (source-linked validator — 10 agents cite every claim across 50+ live sources, conservative viability score, plus a Radar monitoring tier; UI-only, no API)
- `/sales-cresh` — Cresh platform help (a multi-agent AI validator scoring an idea across **33 metrics in 6 groups** [market, business model, problem fit, product/tech, GTM, feasibility/risks] — each metric a score + explanation + improvement tip — with a marketed per-metric web search, **PDF** export in ~3–6 min, and credit-based **Cresh Coins**; the free tier shows only ~5–6 of 33 metrics; it markets "real sources" but reviewers report **no visible citation trail** so verify every figure [contrast Preuve, which cites every claim]; a separate enterprise "decision intelligence" tier targets innovation teams; UI-only/no API — the score is an AI opinion, not demand; **cresh.me**, not the non-resolving cresh.ai)
- `/sales-dimeadozen` — DimeADozen platform help (one-time, keep-forever validation report — free 4-dimension score → a 200+ page build-or-don't-build report with a named comp-set + unit-economics math and a marketed 800+ citations; citation verifiability and comp-set relevance disputed; UI-only, API is Enterprise/custom only)
- `/sales-ideaproof` — IdeaProof platform help (120s AI validation + pre-launch suite — viability score/GO-NO-GO, then plan/brand/logo/pitch/ads; credit-based, UI-only)
- `/sales-informly` — Informly platform help (AI idea validation + a 75+ page report bundle — MVP roadmap, landing page, marketing/sales, pitch deck, fundraising; priced per report, UI-only/no API)
- `/sales-ideacheck` — IdeaCheck platform help (the **cheap, pricing-flexible** validator — one idea → a saved report across seven modules [market, competitive, target-audience, financial/unit-economics, risk, industry context, scenario modeling], exported to PDF/Word/Excel; one credit = one full report sold **three ways at once** [pay-per-report ~$2.99, a 5-pack whose credits never expire, and a monthly Starter whose credits expire at period end] with the same report on every plan — pick by your re-run count; UI-only/no API, numbers are AI estimates)
- `/sales-readysetlaunch` — ReadySetLaunch platform help (interrogation-style validator — 13 questions across 7 pillars that surfaces gaps instead of an inflated score; credit-based/no subscription, UI-only)
- `/sales-validatemysaas` — ValidateMySaaS platform help (the **competitor-intelligence-first, async, SaaS-only** validator — three snippets → a **Competitor Landscape Report** in ~2h [allow 24h]: competitor set + feature/pricing tables, **G2/Trustpilot review summaries**, **Product Hunt metrics**, and **SEO-term research**, with AI advisor viability feedback as a secondary layer; deliberately does **no TAM/SAM/SOM sizing, financials, or customer discovery**, **no free tier** [~$19+ Turbo/Pro monthly + ~$29 one-time report], UI-only/no API — its edge is competitor depth [vs WorthBuild's customer-discovery leads], and every figure is an AI/scraped estimate, not demand)
- `/sales-miskmap` — MiskMap platform help (the Claude-powered **"Red Team" skeptic** validator that also **bridges into building** — a 60-sec 0-100 viability score across four pillars [Market Urgency, Competitive Defensibility, Monetization Clarity, Distribution Ease] → BUILD/VALIDATE MORE/PIVOT/DON'T BUILD + a named "Fatal Flaw", competitor teardown, and revenue/risk; the paid Builder Pass adds a technical architecture, 3 tech-stack options, and **Claude Code / Cursor-ready code prompts** for the MVP; SaaS/digital only, pricing unsettled across its own pages, UI-only/no API — the skeptical verdict is still an AI opinion, not demand)
- `/sales-ideavalidator` — IdeaValidator platform help (the validator that **outputs a full 17-section PRD**, not just a score — describe an idea + 2-4 questions → a **Worth Doing / Proceed with Caution / Pass** verdict across four dimensions [market opportunity, competitive density, execution complexity, monetization fit], then generate/refine an investor-grade **17-section PRD** [MVP scope, functional requirements, architecture] + an early-access **Lab** [financial model, hiring plan, execution playbook, UI mockups, GTM]; its edge is a **build-handoff spec** to paste into Claude Code / Cursor; **credit-metered** with a free monthly allowance [~one PRD/mo], iOS/Android, English + Arabic, UI-only/no API — the verdict and the PRD are AI opinions, not demand, and the market/competitor sections are AI estimates to verify; **ideavalidator.app**, not the different customer-dev tool at ideavalidator.io)
- `/sales-ideascore` — IdeaScore platform help (the **lean, letter-graded triage** validator — a Signal Scan [tension vs upside], a 0-100 Scoring Grade + letter grade across problem urgency/competitive room/execution fit, market/competitor/audience sections, and a one-line next action [interview/prototype/reposition/a faster no]; its edge is a deliberately terse "decision-ready" output + cheap prepaid credits [1 free report → bulk packs, no subscription, 1 credit = 1 report] built to triage many ideas fast; ideascore.co — **not** the TEDx tool at ideascore.ai; UI-only/no API — the grade is an AI estimate, not demand)
- `/sales-rebeccai` — RebeccAi platform help (the cheapest validate-plus-plan combo — a single-text-box evaluation + strengths/weaknesses + improvement tips, plus a one-time ~15–25 page business plan; a **"feedback personality" toggle biases the verdict** and the plan's financials are AI estimates for an untested idea; UI-only/no API; rebecc.ai, not the parked rebeccai.com)
- `/sales-founderpal` — FounderPal platform help (solopreneur AI marketing suite with a free idea validator; a generated strategy is not validated demand)
- `/sales-instantpersonas` — InstantPersonas platform help (AI buyer/user-persona generator + website-perception insights; a generated persona is not validated demand)
- `/sales-personagen` — PersonaGen platform help (AI user-persona generator — detailed personas + content-generation prompts, organized into projects and feature-wise sections; UI-only/no API; a generated persona is not validated demand)
- `/sales-personadeck` — Personadeck platform help (AI customer-persona generator with an explicit User-vs-Negative persona-type choice, personality-trait predictions, editable labels, multilingual generation, and PDF-only export; UI-only/no API; reviewers fault it for repackaging thin input; a generated persona is not validated demand)
- `/sales-marketing-mary` — Marketing Mary platform help (the data-grounded, **interactive** persona tool — personas built from your real CRM/GA4/email/ad data that you **converse with** to test messaging pre-launch, plus ~10-stakeholder B2B buying-committee mapping and auto-update; a marketing co-pilot, subscription/waitlist-stage, UK/EU/GDPR, native HubSpot/Salesforce connectors but no public API/MCP server; talking to a synthetic persona is directional, not validated demand)
- `/sales-delve` — Delve AI platform help (the **analytics-connected** persona generator — data-backed personas built from your real **GA4/Search Console/CRM/social + public data** across six types [Website/Live, Social, Competitor, Customer, Research, Employee], **auto-updating**, plus **Digital Twins** you chat with and **Synthetic Research**; the more established counterpart to Marketing Mary and the one with an actual **API** — but a **paid, gated add-on** [JSON export, enabled on request, no public docs; no webhooks/Zapier]; personas can't be hand-edited, competitor data is estimated, low traffic → generic persona, and a data-backed persona is still not validated demand)
- `/sales-userintuition` — User Intuition platform help (the **real-human** AI-moderated interview tool, not synthetic — voice/video/chat interviews that ladder 5–7 levels deep with **actual people** from a 4M+ vetted panel or your own customers [BYOP], automating the "talk to 10 real users" rung; the **deepest developer surface** in this cluster — REST API [`ui_sk_` keys], HMAC-signed completed-interview webhooks [no retries], a CLI, **and** an MCP server [`ask_humans`/`get_results`] to run studies from Claude Code/Cursor/ChatGPT; quality-only billing, always dry-run for a cost estimate; Stripe/Zapier live, HubSpot/Shopify coming — a real interview beats a synthetic "yes", but a stated "I'd pay" is still not a purchase, so take the WTP go/no-go from a real behavior test)
- `/sales-strella` — Strella platform help (the **real-human** AI-moderated interview peer to User Intuition — text-first chat escalating to voice/video, with an optional human moderator on the call, from a 3M+ panel [via a User Interviews partnership] or your own customers; its edge is **deterministic, repeatable scripted flows** for tracking/regulated studies, but it's **UI-only — no API/webhooks/Zapier/MCP**, its adaptive probing depth trails User Intuition, and its synthesis skews to frequency patterns [the *why* is in the verbatims a click under each insight]; a real interview still isn't a purchase — take the WTP go/no-go to a real behavior test)
- `/sales-voicepanel` — Voicepanel platform help (the **YC-backed, broadest-format** real-human peer — interviews across voice/video/chat/**phone** plus **screen-share usability tasks** and stimuli/AI-output testing, on a 30M+ panel or your own users via in-product intercept; automation is **MCP-first** — an MCP server but **no REST API/webhooks**, and MCP access is onboarded in waves. It sits between User Intuition [full REST/webhook pipeline] and UI-only Strella; same caveat — a stated "I'd pay" is still not a purchase)
- `/sales-chikka` — Chikka platform help (the **self-serve, marketing-forward** real-human peer [chikka.ai; aka **VoiceBridge AI**] — its AI agent **Ava** runs **multilingual voice interviews** via a share link and doubles as a **research repository** [upload existing audio/video/docs]. Two edges: it's **self-serve with a real free tier + public pricing** [Free ~5 interviews → Professional → Team → Enterprise] unlike sales-gated Voicepanel/Listen Labs, and it spins interviews into **testimonials/quote posters/case studies** authenticated by **VoiceVerify** [proves the *voice* is real, **not** that the claim is true — get consent before publishing]. **UI-only — no API/webhooks/MCP** [only Zoom/Teams inbound + manual export]; route a pipeline to `/sales-userintuition`. Same caveat — a stated "I'd pay" is still not a purchase)
- `/sales-listenlabs` — Listen Labs platform help (the **enterprise/consultative** real-human peer — interviews **actual people** [voice/video/audio/text] from a **30M+ panel** or your own via a **self-recruit link**, with **Emotional Intelligence** [Ekman micro-expression analysis] + **Quality Guard** fraud detection + Figma/concept/MaxDiff stimulus testing. Its edge is the **second-deepest developer surface after User Intuition** — a documented **REST API v2** [`x-api-key`; create → launch → self-recruit → pull responses] **and** an **OAuth MCP server** [`listenlabs.ai/mcp`] — but it has **NO webhooks** [poll `updatedSince`] and is **sold demo-first / annual contract** [best-effort ~$20K base + ~$300–400/session, no self-serve], so it fits a *team that already runs Listen Labs*, not a solo sign-up; pick User Intuition when you need webhooks or self-serve access. Same caveat — a stated "I'd pay" is still not a purchase)
- `/sales-frank` — Frank platform help (the **bring-your-own-customers-only** real-human AI-moderated interview peer by Prelaunch.com — voice/chat interviews with **your own customers** via a share link, no third-party panel, so it's the pick when you already have an audience [churn/discovery/concept testing] and the wrong pick for reaching strangers; auto-drafted guide, overnight transcripts/themes/sentiment/quotes/video reels in 30+ languages, optional incentive; unusually it has **published self-serve, voice-minute-metered pricing** [Free→Business; ~15 min/interview; chat cheaper than voice], but is **UI-only — no public API/webhooks/Zapier/MCP** for self-serve [API is Enterprise-only/undocumented], so route pipelines to User Intuition; a real interview still isn't a purchase — take the WTP go/no-go to a real behavior test)
- `/sales-askmore` — AskMore platform help (the **text-first, survey-simple** real-human AI-moderated interview peer [askmore.ai] — an AI interviewer runs **asynchronous written/chat interviews via a share link** [the survey↔interview bridge — "as easy as a survey link" but the AI adapts and follows up], returns shareable reports + full transcripts, and works in **any language** with auto-translation. Its niche is the **lowest-friction, most survey-like format** vs voice-first Chikka/Frank/Voicepanel — interview depth at survey reach; like Frank/Chikka it's **bring-your-own-participants [no panel]** and **self-serve, pay-as-you-go credits** [free credits → packs, roughly per interview]. **UI-only — no public API/webhooks/MCP surfaced** [best-effort; share-link in, manual export out]; route pipelines to `/sales-userintuition`. Same caveat — a stated "I'd pay" is still not a purchase, take the WTP go/no-go to a real behavior test)
- `/sales-researchgoat` — ResearchGOAT platform help (the **end-to-end, voice-first, self-serve** real-human peer [researchgoat.com] — unlike the bring-your-own-participants tools it bundles **AI research design** [shape the objective, **draft a pre-screening/screener survey**, select respondents] **+ built-in participant recruitment + live AI voice interviews in any language + AI synthesis** into one flow, pitched at **up to ~90% lower cost** than traditional moderated qual. **Self-serve, metered in AI interview-minutes** [free tier ≈ 1 project + ~360 minutes/month, best-effort — the site is a JS-rendered SPA so tier prices weren't cleanly published]. Two caveats: **recruitment is marketed but owned-vs-third-party panel is unconfirmed** [verify before a strangers study], and it's **UI-only — no public API/webhooks/Zapier/MCP** [manual export only; route pipelines to `/sales-userintuition`]. Same caveat — a real interview still isn't a purchase, take the WTP go/no-go to a real behavior test)
- `/sales-great-question` — Great Question platform help (the **all-in-one research-ops suite** — a distinct class from both synthetic tools and AI-moderated-interview specialists: it runs research on **real people** end-to-end — **recruit** from a 6M+ panel or your own customers [built-in Research CRM + automated incentives], **run any method** [moderated + AI-moderated (beta) interviews, unmoderated Figma prototype tests, surveys, card sort/tree test/focus groups], then store in a **repository** with AI synthesis + highlight reels; ≈ *User Interviews + Dovetail combined*, **$129/seat** self-serve [5-seat cap; card sort + warehouse connectors + MCP are Enterprise-gated]. Unusually it exposes a **REST API + HMAC webhooks + a native MCP server all at once** [API tokens Team/Enterprise-gated + support-enabled; webhooks concierge-registered/no retries; MCP Enterprise/early-access]; reach for it for an end-to-end research operation rather than a single deep-interview tool — a study "I'd pay" is still not a purchase)
- `/sales-participant-kit` — Participant Kit platform help (participantkit.com, formerly **Consent Kit** — the **consent + participant-ops layer** *around* research, not a recruit/run/repository suite: informed consent forms/NDAs with e-signatures + audit trail, a **participant CRM + opt-in panels**, screeners, scheduling, incentives, retention/deletion reminders, and **GDPR / UK-EU data residency**; ethics-first, researcher-founded. Its REST API [projects/studies/participants/consents/panels/data-links, OAuth2] is **Enterprise + request-only** with **no webhooks/MCP**, so it's the pick for consent/compliance governance, not an automated pipeline. Managing participants ≠ validating demand — a consented interview is still not a purchase)
- `/sales-askable` — Askable platform help (the **panel-first, managed-service** peer of Great Question in the research-ops class [askable.com, Australia-founded] — same recruit → run-any-method → analyze loop, but leans **panel-first + done-for-you**: its own **verified participant panel** [triple-verified, APAC/AU/UK-weighted] *or* **BYO**, an **Askable AI** moderator for multilingual interviews at scale, unmoderated prototype/usability tests, surveys, card sort/tree test, AI analysis + continuous **Insight Streams**, and its differentiator **Project Delivery** [**Certified Askable Researchers** run + deliver a whole study in ~48h]. Two catches vs Great Question: **UI-only — no public API/webhooks/MCP** [native UX-tool integrations — Lookback/Optimal Workshop/Loop11/UserZoom — + SSO; manual export; route pipelines to `/sales-great-question`], and **credit-based, quote-gated pricing that recently lost flexibility** [Pro + Enterprise, demo-first; 30-day new-user credit trial]. For niche/non-APAC B2B its panel reach + screener logic are thin [prefer `/sales-respondent`]. Same caveat — a study "I'd pay" is still not a purchase)
- `/sales-notably` — Notably platform help (the **research-repository / synthesis** peer — the tool you reach for **after** the data exists: import interview transcripts / notes / survey open-ends / audio-video, then **AI-tag + cluster by theme/sentiment** and generate **insight summaries** on a split-screen data-driven canvas, stored in a **searchable cross-project repository** [template library, shareable highlight clips, free viewer seats]. The **most AI-forward** of the repository tools [**Dovetail/Condens/Marvin/Aurelius** peers, all backlog], but **analysis-only** — no panel, no recruiting, no data generation [that's `/sales-great-question`], and **no API/webhooks/MCP/Zapier** [only **Miro/FigJam** sync + **manual export**; route pipelines to `/sales-userintuition`]. It sits *downstream* of this whole table — synthesizing existing data explains the *why* but is **not demand**, so take the go/no-go to a real behavior test)
- `/sales-trill` — Trill platform help (the **free, lightweight** version of the synthesis job — trill.so [**not** trilliai.com, a VPS host; name also collides with Microsoft's Trill streaming engine]. Import interview transcripts and its AI **auto-generates insights** aligned to the project objective, **categorizes themes** across interviews [skip manual coding], and drafts a stakeholder report in a **Notion-like editor**. Same job as Notably but **free while in public beta** — no published paid tiers, so features/limits/retention can change [keep transcripts as the source of truth]. **Analysis-only** [no panel/recruiting — collect data first via Great Question or Chikka] and **UI-only — no API/webhooks/MCP/Zapier** [manual export only; route pipelines to `/sales-userintuition`]. Prefer Notably for a heavier repository; same caveat — synthesizing existing data is **not demand**, take the go/no-go to a real behavior test)
- `/sales-respondent` — Respondent platform help (the **recruit-only** peer to Great Question and the **direct twin of User Interviews** — a **participant-recruitment marketplace** that recruits + screens + schedules + pays real participants from a **4M+ verified panel** [150+ countries], strong in **B2B/professional** audiences, then hands off [you run the interview + keep your own repository; it does *not* moderate or store findings]; incentives via Tremendous. Cluster-notable **Partner REST API** for **embedding recruitment in your own product** — base `api.respondent.io`, **two-header auth** `x-api-key` + `x-api-secret` [*not* Bearer], partner-provisioned credentials, webhooks for participant-status/project events; **payouts are attendance-gated + researcher-triggered**. Top pains: **no-shows** [over-recruit] and **off-brief participants** [a screener-design fix]. **Not respond.io.** Recruiting real users is strong signal but a recruited "I'd pay" is still not a purchase — take the WTP go/no-go to a real behavior test)
- `/sales-prolific` — Prolific platform help (the **developer-native online research panel** in the recruit class — recruit + screen + pay vetted participants from a **13M+ pool** [ID/video-verified, representative samples] for **surveys, online tasks, and AI human-data collection**; you host the instrument and Prolific supplies the humans. Its cluster edge is the **only self-serve public REST API with an *instant* Token key** [`Authorization: Token`, `api.prolific.com/api/v1`] + HMAC webhooks + MCP + an open-source CLI, so recruitment can sit in a real pipeline — contrast Respondent's partner-provisioned API; also the recruitment backbone **Useberry** plugs into. Distinct **AI human-data** angle via the AI Task Builder [Batches vs Collections for RLHF/preference/eval]. Cost = reward + platform fee [42.8% corporate / 33.3% academic]; run the cost calculator before publishing. Same caveat: a vetted sample answering "I'd pay" is stated preference at scale, not a purchase)
- `/sales-cloudresearch` — CloudResearch platform help (the **data-quality-first** peer to Prolific in the recruit class — recruit + screen + pay vetted participants from its own **Connect** panel, continuously screened by **Sentry** [bot/duplicate/attention detection, census-matched samples, longitudinal Waves]; you host the instrument [Qualtrics/your app] and Connect supplies the humans. Where Prolific's edge is an **instant self-serve API token**, CloudResearch's is **Sentry screening** and a **support-provisioned `X-API-KEY`** [no webhooks/MCP — poll to reconcile]; cost = participant pay + **platform fee 25% academic / 40% commercial**. Also runs the **legacy MTurk Toolkit** [MTurk closes to new customers 2026-07-30 — steer to Connect]. Same caveat: a clean, well-screened sample answering "I'd pay" is stated preference at scale, not a purchase)
- `/sales-lightster` — Lightster platform help (the **recruit-AND-run** peer in the recruitment class — a **consumer user-research marketplace** that recruits the participant *and* runs the session [live moderated video, unmoderated reaction videos, async messaging, surveys] on a **50k+ consumer-weighted community** [**100+ criteria**; the panel figure contradicts itself — 10,000+ on the homepage vs 50,000+ on review sites — verify with a live filter], at the **cheapest per-session price in the cluster**. **The pricing trap to memorize: its session price INCLUDES the incentive and its peers' don't** — Respondent/User Interviews bill a recruit fee **plus** the incentive you set, so compare **all-in vs all-in** [~$10–12.50 vs ~$90–200], never fee-vs-fee. Second trap: the **subscription is a session discount, not an access fee** — free-plan sessions start ~5× higher and cap screening at 3 criteria, so **"start free" costs more past ~2 sessions/month**; and **bringing your own users is free on every plan**. Top pain: **you can't tell if a participant fits until 5 minutes into the call** + **stale profile data** — a screener-design fix [behavior-based questions, **double-screen by message before booking**, end early if they don't fit]; **no consent workflow or appointment reminders**. **UI-only — no API/webhooks/Zapier/MCP**, no IA battery. **Consumer-weighted** — route hard-to-reach B2B to `/sales-respondent`. Same caveat: a consumer's "I'd pay" is still not a purchase)
- `/sales-uxtweak` — UXtweak platform help (the **usability / information-architecture testing suite** — a different job again: you already have a design, prototype, or live site and want real users to **test it**. Self-serve battery in one seat — **card sorting, tree testing**, first-click/five-second/preference, prototype/website/mobile usability tasks, session recording, surveys — with its own 130-country panel [minimum spend ~$200], a recruiting widget, or own-database import; **UI-only — no API/webhooks/Zapier/MCP** [CSV/PDF export + Figma/Dovetail/Notion integrations], so route pipeline needs to `/sales-userintuition`. Peers Maze/Lyssna/UserTesting/Optimal Workshop. The caveat sharpens: a passing usability test proves the design *works*, not that anyone will *pay* — take the build-or-not go/no-go to a real behavior test)
- `/sales-lyssna` — Lyssna platform help (**formerly UsabilityHub** — the self-serve usability + IA suite closest to UXtweak: **five-second/first-click/preference** tests, **card sorting/tree testing**, prototype [Figma] + **live-website** tests, surveys, and **moderated interviews** [AI follow-ups/summaries], on a **690k+ panel** or your own users via a share link; its edge is the **big panel + a usable free plan** [3 seats, unlimited *quick* studies, ~15 self-recruited responses]. **UI-only — no API/webhooks/Zapier/MCP** [manual CSV export + Figma/calendar integrations]. Known gripes: **junk "clicked-through" / "Yes"-to-everything panel responses** [a task/screener-design fix — Lyssna credits/replaces genuinely bad ones], a **US-skewed panel**, and **metered in-depth studies** [5/mo on Growth]. Same caveat — a passing usability test proves the design *works*, not that anyone will *pay*)
- `/sales-userbrain` — Userbrain platform help (the **narrow, cheap** usability pick next to UXtweak's broad battery — **only** task-based **think-aloud video**: real testers record screen + voice narrating your tasks on a website/app/**prototype**, with AI highlights, transcripts, auto reports, and clips, from a **170k+ panel [~$45/session]** or your own users via a share link, plus **continuous** auto-recurring tests. **No** card sort / tree test / first-click battery [route those to `/sales-uxtweak`]; **UI-only — no API/webhooks/Zapier/MCP** [manual video/transcript/PDF export]. Known gripes: **shallow feedback** [a task-design fix, not a bad panel], **two easily-confused costs** [subscription + per-session panel], coarse targeting, iPhone-first mobile. Same caveat — a smooth session proves the design *works*, not that anyone will *pay*)
- `/sales-uxarmy` — UXArmy platform help (the **APAC/Asia-first** usability pick — the same full battery [unmoderated tests with full-journey heatmaps, **DeepDive®** moderated 1:1s / dyads / triads / focus groups, open/closed/hybrid card sorting, tree testing, surveys, AI auto-tagging/follow-ups/sentiment on every tier] on an **Asia-Pacific panel of 20+ countries** [Indonesia, Vietnam, Japan, Korea, India, Singapore…] — pick it when your users are in APAC, since EMEA/Americas coverage is thinner and the peers' panels are larger there. **The thing to get right is the credit model**: pooled credits are charged **per response, by method**, and the spread is ~1000× — a **recorded usability response is 5 credits**, an **interview/focus group 10**, a **Figma test without recording 1**, but **card sort / tree test / survey are 0.01 each** — so **Free's 15 credits/mo buy 3 recorded sessions *or* ~1,500 IA responses**, making it arguably the cheapest way anywhere to run a properly-powered 30+ participant card sort, and near-useless on Free for video research. Always do the method × count math before naming a tier, and note the **panel is a separate paid add-on** — credits buy responses, not recruitment, so self-recruiting is free. **UI-only — no API/webhooks/Zapier/MCP**; thin integrations [Slack, Figma, Google Sheets], and reviewers report **uneven export coverage** [time-per-task not exportable despite the Sheets integration — pilot one participant and export before spending credits], **no RTL/Arabic/Hebrew support**, and **mandatory respondent PII collection**. Same caveat — a clean tree test proves the design *works*, not that anyone will *pay*)
- `/sales-userfeel` — Userfeel platform help (the **international** usability pick — the one built for watching real people **in a market you don't speak**: the fuller battery [unmoderated + moderated sessions, card sorting, tree testing, surveys] across **40+ languages / 40+ countries** on websites, mobile apps, and Figma/Adobe XD prototypes, with AI Assistant scenario drafting from a URL, AI session summaries, sentiment analysis, and built-in **SUS** ratings. Two things to get right: its famous **pay-as-you-go ~$30–$180/test pricing is stale** — the live page sells **annual credit plans from ~$2,250/yr** [1 credit ≈ 1 unmoderated session; card sort / tree test / Smart Recommendations are **Team+**] while every review site still prints the old number — and the **"7M+ testers"** headline is largely the **User Interviews** panel it recruits through [first-party panel ~150k–850k]. Known gripes: testers **gaming screeners** on language/job title [fix = knowledge-based open screeners in the target language + the under-used **Replace-a-Tester guarantee**, which covers "failed to follow instructions", not just audio faults], a **hard recording cap** cutting unmoderated sessions off, and video sharing that needs download-then-reupload. Budget **~5 testers *per market*** — 4 countries ≈ 20 sessions. **UI-only — no API/webhooks/Zapier/MCP** [Capterra's "API" checkbox is unbacked]. Same caveat — a clean session in four locales proves the design *works*, not that anyone will *pay*)
- `/sales-userlytics` — Userlytics platform help (the **enterprise/mid-market full-service** usability pick — **moderated + unmoderated + quantitative** studies [prototype tests, card sorting, tree testing, think-aloud] on a **2M+ global panel across 150+ countries / 60+ languages** or your own users [**BYOU**], with AI insights/sentiment, the **ULX® Benchmarking Score** + **SUS**, Amazon-Transcribe transcripts, and an optional **white-label** — reach for it when you want moderated sessions + a big global panel + a managed/consulting option in one place, vs the self-serve-first UXtweak/Lyssna or cheap-video Userbrain. **Pricing comes in four+ shapes** — a BYOU **subscription** [Premium ~$699 / Advanced ~$999 per mo] vs **Enterprise per-session** [~$30, contact-sales] vs a one-off **Project** [min 5 sessions] vs **Limitless** — match it to how they buy; and the **#1 billing surprise is that panel and BYOU credits split and don't pool**, stranding unused credits. Reviewer pains: a **dated/cumbersome researcher UI**, **no word-cloud/heatmap open-text analysis**, **AI insights that freeze/glitch**, and **card sorting not mobile-optimized**. **Effectively UI-only — no documented public API/webhooks/Zapier/MCP** [`api.userlytics.com` is the app backend, not a public API — don't invent endpoints]; data-out is manual video/transcript/CSV. Same caveat — a clean session / good ULX-SUS proves the design *works*, not that anyone will *pay*)
- `/sales-uxia` — Uxia platform help (the **synthetic usability-testing** tool — the AI-tester counterpart to Userbrain/UXtweak: AI "testers" modeled on demographic/behavioral profiles explore your design, prototype [Figma import], or live URL and surface UX friction in ~5 min → transcripts, heatmaps, **SUS/SUPR-Q** scores, accessibility checks, actionable report, across five test types; iterate 20× a sprint **without recruiting**, but the **Human Test / real people + audience enrichment + SSO/SCIM are Custom/Enterprise-only**, pricing is inconsistent [credit-limited free trial vs flat-monthly marketing — best-effort], and there's **no public REST API/webhooks** — only a marketed-but-undocumented MCP link to Claude/ChatGPT/Gemini [discover at runtime, don't invent]. Synthetic testers are an AI opinion, not real behavior [the founder agrees they don't replace humans] — trust relative SUS/SUPR-Q rankings over absolute scores, validate the final version with real testers, and a passing synthetic usability test is still not demand)
- `/sales-syntheticusers` — Synthetic Users platform help (the pure-play **synthetic-research** tool — define an audience, run **AI-moderated interviews** [problem exploration / concept testing / custom script] against multi-agent participants, optionally RAG-grounded in your own data, → an insights report with **saturation scoring**; unlike the persona generators it runs **full multi-participant studies**, and it's the **rare one here with a real public REST API** [Bearer auth, `api.syntheticusers.com/api/v1`, Python + TS SDKs, SSE streaming, PDF export; no webhooks — poll status]; participants skew agreeable/generic/Western-biased and a synthetic "yes" is not demand)
- `/sales-ditto` — Ditto platform help (the **census-calibrated, API-native** synthetic-research tool — recruit a panel from **300,000+ personas matched to census distributions** [filter by country/state/age], run a **study**, ask questions [async, one job per persona], get an **AI analysis** + public share link; its cluster edge is a **real REST API with a *free-tier* key** [`rk_free_` ~12 shared US personas → paid `rk_live_` unlocks filtering] plus **official Claude Code skills** — the most agent-native synthetic tool [base `app.askditto.io`, Bearer, no webhooks/job-polling, 20 personas/recruit, sequential questions], plus Figma/Canva/Framer design-feedback; **EY-validated 92% overlap** with focus groups [vendor-cited], paid tier enterprise-priced/not public; personas skew agreeable/generic/Western-biased and census-calibration matches *distributions* not real behavior — a synthetic "yes" is not demand)
- `/sales-atypica` — atypica.AI platform help (the **AI-research-agent** synthetic-research tool — builds **AI Personas** on a four-layer **"subjective world model"** [Expression/Story/Cognition/Behavior] and runs **AI-moderated Deep Interviews/studies** [+ **AI Sage** expert simulation from docs], tied by a **flywheel that validates synthetic personas against real interviews**; cites 300K synthetic + ~10K interview-grounded "real-person" agents + 85% human-likeness [vendor claims]; its API twist is a **team-provisioning + embedding API only** [Bearer team key + impersonation login URLs to embed a study, e.g. `callbackUrl=/newstudy`], **NOT a studies-execution API** — studies are UI-only, unlike Synthetic Users/Ditto; freemium [1M free tokens] + enterprise SOC2; a synthetic "yes" is not demand)
- `/sales-imario` — iMario platform help (the **reusable-persona** synthetic-research **canvas** — a **Synthetic Individual** [Deep Identity + expert-panel reflection + a **three-layer memory that persists across sessions**], built from a brief/LinkedIn/personality assessment, run on a visual **Canvas** node editor across **six jobs** [Discover/Validate/Launch/Optimize/Scale/Build incl. AI-agent personality via API]; edge over one-shot tools is **reuse + memory**, trade-off is a **Pro-gated, undocumented API**; credit-based [Free 500 one-time]; the **90%+ "human parity"** headline is a **vendor claim** and a synthetic "yes" is not demand)
- `/sales-articos` — Articos platform help (the **self-serve, bias-diverse** synthetic user-research tool [articos.com] and the self-serve alternative to Artificial Societies/Synthetic Users — **AI personas** on **30 Big Five facets + cognitive-bias mapping** run **User Interviews / Concept Testing / A/B Testing** → a synthesized report [motivations, **objections**, recommendations] in ~30 min, no recruiting, plus a **Talk-to-Research** chat + probing follow-ups; two edges — **enforced stance diversity** [deliberately generates skeptics, *mitigating* the cluster-wide agreeable bias — the objections are the payload] and a **peer-reviewed 86% accuracy** claim [46 studies/9 domains, 7.5× over a bare LLM; vendor admits ~70–80% hold up]; priced by **researches** [free trial + 2 free → one-time ~$29 Research Pack → Starter ~$79/mo → Pro ~$199/mo + white-label]; **UI-only/no API** — a synthetic "yes" is an AI opinion, not demand; validate the winner with real people)
- `/sales-societies` — Artificial Societies platform help (the **self-serve network simulator** in this cluster — 300–5,000+ AI personas on a **social graph** who **influence each other**, so it predicts how a post/message **spreads** [opinion propagation], not just isolated reactions; its self-serve job is **pre-testing a LinkedIn/marketing post before publishing** [engagement score + variations in ~30s–2 min, claimed **R²=0.78** LinkedIn fit], Free 3 credits → **Pro $40/mo**, with an enterprise **Radiant** tier for first-party-data societies; UI-only/no public API [docs.societies.io dead]; accuracy claims are vendor self-reported and **false positives** are real — trust *relative* variation ranking over absolute scores, and a synthetic score is not demand)
- `/sales-wynter` — Wynter platform help (the **real-panel B2B message-testing** counterpart to the synthetic simulator above — real 80k+ LinkedIn-verified professionals in your ICP rate your homepage/copy/positioning/pricing [**clarity/relevance/value/differentiation scores + verbatim quotes**], plus preference/A-B-C tests, buyer-intelligence surveys, cold-email tests, and brand tracking, targeted by seniority/industry/company size, in ~12–48h. **Credit-metered** [1 credit = 1 dollar; PAYG costs ~50% more than a subscription]; **UI-only — no API/webhooks/MCP** [manual CSV/PDF export → route pipelines to `/sales-userintuition`]. Caveats: the panel **skews SaaS/software** [verify a niche vertical builds out], and a high score is **resonance, not demand** — take the go/no-go to a real behavior test)
- `/sales-pickfu` — PickFu platform help (the **consumer-panel** mirror of Wynter — fast, self-serve **creative/message split-testing** polls [head-to-head A/B/C, ranked, rating, open-ended, click/five-second] where a **15M+ verified consumer panel** [90+ traits] votes **and explains why** in minutes; bread-and-butter is Amazon listings/main images, logos, ads, book covers, app icons/ASO, names, and copy. The cluster's **only message-tester with a real developer surface** — REST API [`api.pickfu.com/v1`, Bearer, 100 req/min], **MCP server** [`mcp.pickfu.com/mcp`], and a **CLI** — but **no completion webhook** [poll `GET /surveys/{id}`], `POST /surveys` non-idempotent, and API/MCP/CLI **plan-gated**. PAYG from ~$1/response, min poll ~$15; **1 credit = $2** [not $1 like Wynter]. Consumer-skewed [thin for B2B → use Wynter], leading questions poison results, and a poll winner is **preference, not demand** — take the go/no-go to a real behavior test)
- `/sales-evelance` — Evelance platform help (the **synthetic message/creative-tester** — the AI-persona counterpart to the real-panel message-testers Wynter/PickFu, and the message-side sibling of synthetic-usability Uxia: describe an audience → **AI personas** [claimed 326M+/23 countries] evaluate your **messaging/copy, website, app, prototype, or design file** → **12 consumer-psychology scores** [10-pt] + **written per-persona rationale** ["the line where readers got lost"] + AI-synthesis reports, in **~10–30 min**, no recruiting, across single/**A/B**/**competitive** tests; pitched as a fast, cheap **PickFu alternative** but **synthetic** [an AI opinion], not a real panel; **pay-as-you-go ~$2.99/persona** [packs to ~$2.39], **free 5-day trial** [10 personas, no card], Enterprise custom; vendor-claimed **89.78% "thematic-accuracy"** [self-reported, best-effort]; **UI-only — no public API/webhooks/Zapier/MCP** [manual export → route pipelines to `/sales-userintuition`]; the caveat **doubles** — synthetic personas are an **AI opinion trained on averaged data** [bias amplification, no individual variation], so trust *relative* rankings + rationale over absolute scores and validate the winner with real people, and even real resonance is **not demand**)
- `/sales-juma` — Juma platform help (formerly Team-GPT — a broad **AI marketing workspace**: 700+ Flows, shared Projects, multi-model chat, where persona generation is one Flow; the **only tool in this cluster with a real MCP server** [`mcp.juma.ai`, OAuth, 40+ tools] to drive persona/brand/content/SEO from Claude Code/Cursor; credit-metered with a full-featured Free plan, no REST API/webhooks; a generated persona tracks input depth and is not validated demand)
- `/sales-userforge` — Userforge platform help (the **team-collaboration + build-handoff** persona class — AI personas *plus* **user stories** [User Story + Job Story formats] mapped to each persona and to the screens they touch on a journey map, then handed downstream: **spec export for coding agents** [Pro+], **Jira** story sync [outbound issues], and **GitHub** code round-trip [Power]; its edge is the vibe-coder pipeline [persona → user stories → spec → Claude Code/Cursor] but the exported spec is an *unvalidated* hypothesis to review before building; **no public API/webhooks/MCP** — Jira + GitHub are the only outbound surfaces, CSV/spec-folder export otherwise; Free/Pro [annual]/Power [monthly] with pricing presented inconsistently [confirm]; a persona/story map is a communication artifact, not validated demand)
- `/sales-kollabe` — Kollabe platform help (a **free, prompt-only** persona generator bundled with a **free user-story toolkit** [User Story + Story Splitter + Acceptance-Criteria + RICE/OKR] inside an agile-meeting platform [planning poker/retros/standups] — the free/simpler cousin of Userforge's persona→story pipeline, no journey map or build-handoff; persona types primary-user/buyer/influencer/detractor; unusually for this cluster the paid Premium plan has a real **MCP server + public REST API** but they drive the **meetings, not** the generators [which stay UI-only/no API/no export]; a generated persona or story set is not validated demand)
- `/sales-uxpressia` — UXPressia platform help (the **journey-mapping / team-collaboration** persona class — a collaborative CX canvas for personas, **customer journey maps**, impact maps, and service blueprints built to align a team, not to validate demand; per-seat Free/Pro/Business/Enterprise, AI-assisted generation, integrations import data IN only; **no public API/webhooks/Zapier**, only data-out is manual export [PNG free → PDF/CSV Pro → PPTX Business]; a polished journey map is a hypothesis, not validated demand)
- `/sales-venturusai` — VenturusAI platform help (framework-driven validator — SWOT/PESTEL/Porter's Five Forces/VRIO + TAM/SAM/SOM, personas, financials, MVP/GTM, pitch deck; pure-LLM with no source citations, scores skew encouraging; API is Enterprise-only and undocumented)
- `/sales-inodash` — Inodash platform help (a **free idea validator that fronts a team innovation/PMF workspace** — the validator report [Target Audience, Market Analysis, Competitors, Revenue Models, GTM, "Critical Investor Questions"] plus Smart Boards, Persona Maker, Competitor Analyzer, Financial Forecast Builder, founder/investor Deck Evaluators, and Enterprise custom RAG training; metered by **AI tokens per project** with a **~3-token free demo**; team-first, bundle-breadth-over-depth; UI-only/no API — the score/market/financial numbers are AI estimates, not demand)
- `/sales-venturekit` — VentureKit platform help (AI business-planning software — full plan + lender-ready financial forecasts, pitch deck, market research, AI assistant, Radar, and a built-in LLC formation service; generous free tier + an Agency tier for consultants; plans/financials are AI estimates and it's UI-only/no API — a fundable plan is a document, not validated demand)
- `/sales-plannit` — Plannit AI platform help (AI business-plan generator, now rebranded AIGenerator.com — questionnaire → a 15–20 page plan with market analysis, financial projections, a pitch deck, and marketing assets, plus real-time team collaboration; forecasting is weak and plans read generic for niche industries; UI-only/no public API — a generated plan is a document, not validated demand)
- `/sales-upmetrics` — Upmetrics platform help (mature, team-oriented AI business-planning *suite* — deep multi-year forecasting, plan-vs-actuals tracking, QuickBooks/Xero import, pitch deck, strategic canvases, real-time collaboration, and a Professional/white-label tier for consultants; AI drafts read generic and financials are estimates; UI-only/no public API — a generated plan is a document, not validated demand)
- `/sales-prometai` — PrometAI platform help (AI business-plan generator whose edge is a **connected financial model** — projections + **DCF valuation** + stress testing + scenario analysis that recalculate together — plus SWOT/VRIO and a 50+ tool "Entrepreneur Journey"; a **subscription** unlike the one-time/credit siblings; it invents market figures and the DCF is a model not an appraisal; UI-only/no public API — a polished plan is a document, not validated demand)
- `/sales-bizplanr` — Bizplanr platform help (a **free** AI business-plan generator — questionnaire → a full plan with basic financials in ~5 min, plus standalone SWOT/competitor/financial/one-page tools and mobile apps; monetized by a **one-time** paid workspace, not a subscription; UI-only/no public API — a generated plan is a document, not validated demand)
- `/sales-bizplanner` — BizPlanner AI platform help (the near-namesake **paid** GPT-4 business-plan generator — questionnaire → a full multi-section plan in ~15 min, PDF/Word export; **no free tier**, a one-time payment + AI-word top-ups, 30% affiliate; UI-only/no public API — a generated plan is a document, not validated demand; don't confuse bizplanner.ai with the free bizplanr.ai)
- `/sales-bizplanaipro` — BizPlan AI Pro platform help (the third near-namesake — a **credit-based, pay-per-use** business-plan generator bundling a Startup Idea Validator, an AI Business Coach [separate Coach credits], and AI Decision Analysis; credit packs never expire, "97% accuracy" is unverifiable marketing; UI-only/no public API — a generated plan is a document, not validated demand; bizplanaipro.com vs the free bizplanr.ai / the paid bizplanner.ai)
- `/sales-plansnack` — PlanSnack platform help (the cluster's odd one out — a **free, manual one-page** business-plan builder you fill in yourself from a guided five-step template, **not** an AI generator; no financial forecasting, no API/integrations; good for a fast lean one-pager but not a lender/SBA plan — and a written plan is a document, not validated demand)
- `/sales-seedangels` — SeedAngels platform help (the plan tool whose edge is that the **AI is deliberately constrained on the numbers** — financial statements built from *your* assumptions, not invented — and the **pitch deck and business plan share one data source** so an assumption change updates both; plus free tools: a Startup Idea Validator [9 dimensions, first run free], a Pitch Deck Analyzer [34 criteria/8 themes] and Business Plan Analyzer [30 criteria] that critique an existing deck/plan, Lean Canvas/BMC, valuation/dilution calculators; generous free tier → one-time Complete Pack unlocks deeper analyses + export, + AI tokens; EUR-priced/bank-standard, UI-only/no API — constrained numbers stops hallucination not unrealistic assumptions, and a fundable plan is a document, not validated demand)
- `/sales-bizplanbuilder` — BizPlanBuilder platform help (the **long-established, template-first, spreadsheet-native** business-planning suite by Business Power Tools — **guided plan templates with editable pro-written boilerplate** + AI assist, and a **real, customizable Excel financial model you own** [multi-year projections, financial-ratio industry benchmarking, business valuation (3 approaches), a cap table, and what-if/sensitivity analysis] rather than an AI's invented numbers; also a pitch deck, a built-in CRM, a secure investor data room, team collaboration with section check-out, and a legal/HR template bundle [LLC/corp formation, contracts, policy manuals]; unusually sold **monthly, annual, or one-time lifetime** with a **separate Windows desktop** app alongside cloud [pricing unsettled — confirm]; **UI-only, no API** — data leaves only as Excel/Word/PDF/PowerPoint; the model is only as good as your assumptions, the valuation is a model not an appraisal, and a fundable plan is a document, not validated demand)
- `/sales-planpros` — PlanPros platform help (the **expert-authored** generator — by **Dave Lavinsky** of **Growthink** — a questionnaire → a full "investor-ready" plan in ~12 min [exec summary, market/competitive, marketing, operations, management team, **5-year financials**] across **1,000+ industries**, bundled with an **investor/funding-source database** [advertised 80,000+ investors/lenders] and **expert courses**; sold as a **flat one-time 12-month access** [price unsettled — $49 vs $97 + an AppSumo lifetime deal], export to PDF/Word/Google Docs; weaknesses: generic/cookie-cutter output, **no AI section-rewrite/tone/layout** [manual edits], **no what-if/plan-vs-actuals** [static forecast], and **not for the idea stage or nonprofits**; the funding DB is a contact list not intros; UI-only/no API — the financials are AI estimates and a plan is a document, not validated demand)
- `/sales-buildornot` — BuildOrNot platform help (startup-idea discovery data platform + free single-prompt AI evaluator — datasets of revenue-ranked tools, Reddit ideas, and trending topics; the data is a shortlist, the AI take is not demand)
- `/sales-venturevault` — VentureVault platform help (a **free IdeaBrowser clone** — a browsable vault of AI-scored, pre-researched startup ideas with opportunity scores + market analysis; 100% free/no tier, web + iOS/Android, open-source; the scores are AI estimates and a browsable idea is not demand; UI-only/no API; venturevault.space, not the dead .co)
- `/sales-startupideasai` — Startup Ideas AI platform help (the **community-driven, largest, cheapest** browsable catalog — a directory of ~140,000 AI-generated startup ideas [filter by industry/tag/country, **upvote**, **submit your own startup**] plus a companion generator/validator app [startupideasai.info: an AI Idea Generator "Mac", a Validation Dashboard, a Roadmap Planner]; **Free** with *lifetime* caps → ~$5 **Premium** → **Custom** lifetime; breadth over curation [duplicates/thin entries], upvotes are light social proof, scores are AI estimates and a browsed/generated idea is not demand; UI-only/no API; startup**ideas**ai.com, not the startup.ai builder)
- `/sales-pickmyniche` — Pick My Niche platform help (a **free AI niche/idea generator** — surfaces **web and mobile app ideas** from **live Reddit conversations + Google Trends** ["what people want right now"], an on-demand generator vs a browsable catalog; its signal is *attention/interest not willingness to pay*, and "trending" can mean fad/crowded so check durability + competitors; ideas/numbers are AI estimates to verify; pricing **not publicly documented** [marketed free — confirm on site]; UI-only/no API — reconstruct the signal from the Reddit API + Google Trends/pytrends)
- `/sales-nicheshunter` — Niches Hunter platform help (the **iOS/App-Store-data-native** niche-discovery tool — tracks **40,000+ App Store apps daily** to surface low-competition/high-revenue **mobile** niches with competition + opportunity scores, a Revenue Estimator, Niche Roulette, and an **AI Niche Validator PRO** [0–100, GPT-5.2]; its signal is a **behavioral proxy** [revenue/competition of *existing* apps — closer to real than a pure-LLM opinion] but still **not demand for *your* app**, and the store numbers are **modeled estimates**; cluster-rare in having an actual **pay-as-you-go Developer REST API** [niche data/rankings/scores] though its endpoints are JS-rendered/under-documented — pull routes from the dashboard, fallback to Apple's public iTunes Search API + RSS chart feeds; free + a cheap lifetime Pro)
- `/sales-ideatwister` — IdeaTwister platform help (the **"pick the best angle"** validator — twists ONE seed idea into 10–25 ranked pivots across five commercial dimensions [buyer urgency, market proof, solo executability, revenue speed, defensibility] and returns an interactive dashboard with GTM sketches and 30-day plans; **one-time pay-per-run**, failed runs auto-refund; UI-only/no API — a ranked pivot is not validated demand, and it needs a seed idea so it's not a discovery catalog)
- `/sales-ideagrape` — Ideagrape platform help (a **cheaper IdeaBrowser alternative** blending discovery + validation — browse a 700+ market-scored idea database + generate custom ideas, then run an opportunity score, WTP analyzer, assumption validator, build blueprint, and growth matrix; free tier capped by a daily generation limit, paid annual Starter/Pro with AI Chat on Pro; UI-only/no API — a browsed idea and an AI score are estimates, not demand)
- `/sales-ideabrowser` — IdeaBrowser platform help (the **paid market-leader idea-discovery catalog** the free VentureVault and cheaper Ideagrape clone — Greg Isenberg's tool that turns Reddit + search-trend + YouTube signals into pre-researched ideas with **opportunity scores**, a free **Idea of the Day** emailed daily, a 1,000+ Idea Database, interrogatable **Idea Agents**, and a **40-step Research Agent** on your OWN ideas [+ Chat Strategist, Idea Builder]; **expensive annual tiers** ~$499/$1,499/$2,999, UI-only/no public API [Pro data exports + an unofficial Apify scraper are the only export paths]; the scores are AI estimates, the Research Agent doesn't cite sources, and a browsed idea is not validated demand)
- `/sales-saasytrends` — SaaSy Trends platform help (a **SaaS competitor/trend database** — 30,000+ companies across 2,000+ categories ranked by growth in **Google brand-search volume** [a behavioral signal, monthly refresh], plus a free OpenAI SaaS Idea Generator and ToS/privacy/gdoc utilities; filter by category/business-model to spot a rising niche and scan incumbents, then clone a smaller version; single **one-time lifetime** plan tracking 100 products, UI-only/no API — brand-search growth is demand for an *existing* company, not for your twist, and the numbers are AI-estimates to verify)
- `/sales-worthbuild` — WorthBuild platform help (the validator that **also hands you your first customers** — a fast full report [TAM/SAM/SOM, ~12-competitor map, risks, unit economics, roadmap, **Go/Pivot/Stop** verdict] **plus "Your First Customers"**: real people voicing the problem on Reddit/HN/X with ready-to-send outreach, a free landing page + waitlist, a one-click pitch deck, and AI pivots; **one-time per report + a free monthly validation**, UI-only/no API; the surfaced leads are *interest, not demand* and the verdict is an AI opinion — vet the leads, personalize outreach, decide on real behavior)
- `/sales-goldmineai` — GoldMine AI platform help (the **B2B "idea-to-customer"** sibling of WorthBuild — AI agents run market research [demand score, TAM/SAM/SOM, ≤15 competitors in ~30 min], **validate the problem on Reddit** with an evidence-backed next-step, generate an **ICP + real matched professionals with contact info** from B2B databases, **continuously monitor** Reddit [Twitter soon] to qualify problem-voicers as leads, and generate launch assets [landing pages/ad copy/surveys]; **B2B-only, credit-based with NO free tier, agentic** [OpenAI/Gemini/Claude/Perplexity], a live monitor not a one-shot report; UI-only/no API — the score is an AI estimate and a surfaced lead is *interest, not demand* [vet + personalize; scraped B2B contacts carry GDPR/CAN-SPAM]; **not** the GoldMine CRM at goldmine.com)
- `/sales-leanspark` — LEANSpark platform help (the **longitudinal validation *system*** by **Ash Maurya**, creator of the Lean Canvas — a free 12-block Lean Canvas builder stress-tested across **seven dimensions**, then **persistent memory** + a **Contradiction Detection engine** [flags where your plan and your logged evidence stop agreeing] + belief-to-evidence tracking + **two-week Plan-Do-Check-Act cycles** over ~90 days ending in **Persevere / Pivot / Pause** — not a one-shot score; its edge, like Juma, is a real **OAuth MCP server** [`leanspark.ai/mcp`] to read your validated canvas/positioning/voice-profile into Claude Code/Cursor + one write-back tool, no REST API/webhooks; **credit-metered** [Free ~25/mo *Reactive* → *Proactive*/autonomous at top tier]; caveat: it coaches over YOUR inputs — the contradiction engine only checks what you logged, so a tidy canvas is still not demand)
- `/sales-vibecom` — VibeCom platform help (the validator that **continues past the PRD into distribution** — a free no-signup **Roast** [1–10 + three risks + a one-liner] and a **10-dimension Startup Idea Scorecard** with live web research [competitor analysis, TAM/SAM/SOM, pain-point mapping, trends], a **PRD + GTM plan** you paste into Cursor [like MiskMap/IdeaValidator], then **AI marketing agents** [SEO/GEO/Competitor Radar/social] run by a **Growth Autopilot MCP server** that reads your codebase to draft X/LinkedIn/blog content; its thesis is the *vibe coder's distribution problem*; **credit/plan-metered** [free Roast + a Free plan = one capped onboarding run → Pro → Growth], **no public REST API/webhooks — the MCP server is the only automation surface**; the score/Scorecard/PRD numbers are AI estimates and a build-ready spec is not validated demand)
- `/sales-sololaunch` — SoloLaunch platform help (AI startup builder/co-pilot — one-line idea → names, logo/brand, market analysis, an interactive timeline, and marketing strategy; monthly subscription, UI-only/no API; a generated startup foundation is not validated demand)
- `/sales-frederick` — Frederick AI platform help (AI teammate/co-founder that *executes* — Coding/Browser/Background Agents build & ship apps/landing pages and run scheduled Market Insights research; credit-metered, UI-only/no public API; it can build the smoke-test page but its market research is not validated demand)
- `/sales-startup-ai` — startup.ai platform help (the AI startup builder that spans **evaluate + discover + build & deploy** in one product — an **Idea Evaluation** score [overall + **Market/Problem/Revenue**], a browsable **Idea Browser** of AI-evaluated ideas, an **AI Builder** that builds the working app in-platform with Live Preview, and **one-click Publish** to a public URL + custom domain [Vercel]; unlike MiskMap/IdeaValidator/VibeCom it builds the app rather than handing you a PRD/code-prompts; free tier builds a prototype, **public deploy + private ideas are Pro-gated** [~$29/mo, best-effort ~100 credits/mo — builds burn credits]; its unique risk is that build-first is so frictionless you skip validation [a shipped app ≠ a validated app], though the deployed page can double as the smoke test; UI-only, no public API/webhooks/MCP — the score is an AI opinion, not demand; **startup.ai**, not the idea generators stratup.ai / "Startup Ideas AI")
- `/sales-trendseeker` — Trend Seeker platform help (Reddit-based demand discovery + evidence scoring — a real-signal validator)
- `/sales-painmap` — PainMap platform help (the **multi-platform pain-mining** discovery tool — runs **parallel** research across **Reddit, X, G2, Capterra, and Trustpilot** → ranked pain points with quotes, **competitor 1-2★-review gap mining** [its highest-signal output], WTP signals, and a product brief [MVP-brief generation is Builder+/paid-gated]; edge over single-source Reddit tools [PainOnSocial] is breadth in one run, over pure-LLM validators is real-conversation grounding; **free ~2 runs/mo → one-time credit packs, credits never expire**; UI-only/no API — it scans **discussed pain, not proven demand** [frequency ≠ WTP], keep the quotes + gaps and take the go/no-go to a real behavior test)
- `/sales-validateidea-ai` — ValidateIdea (**validateidea.ai**) platform help (the **async, human-escalation** AI validator — a short idea → a multi-section research report [business overview, market & competition, customer insights, revenue & growth assumptions, risks & open questions] delivered **"in under an hour"** [not instant], with a steep tier ladder whose top rung is **human consulting** not more AI — Startup Turbo [cheap AI PDF] → Startup Pro [deeper AI] → **Expert Support** [~40 hrs hands-on human review, 1:1 sessions, GTM + MVP-scope guidance]; UI-only, no API/webhooks, PDF export only; **not** the validateidea.io landing-page builder — the report is an AI opinion, not demand)
- `/sales-validateidea` — Validate Idea platform help (the real **demand-test** builder, not a scorer — a no-code **smoke-test landing-page builder** [drag-and-drop/AI/code editor] that publishes a validation page on a custom domain in minutes with built-in analytics [page views, conversion rate], session replays, and forms/surveys capturing email signups/comments/feature requests; **one-time / lifetime** pricing gated by number of ideas [Starter 5 / Growth 20 / Pro 50], **UI-only, no API/webhooks/Zapier** — automate only by embedding your own form/pixel via the Code Editor; its failure mode is a real page **manufacturing fake demand** via warm traffic/vanity metrics/CRO tricks, so drive cold targeted traffic and measure the committed action)
- `/sales-walksoflife` — Walks of Life AI platform help (a free-to-try, **desktop-only** AI idea-evaluation tool — *"measure your idea's pulse"* — that reads an idea's potential/viability/impact with domain-specific analysis across sectors, and uniquely accepts a **URL** as input [paste an existing page/project for the AI to react to]; early-stage and thin: pricing isn't publicly documented and the live site was unreachable at research, and the "persona simulation" framing is unconfirmed; UI-only/no API — the read is an AI opinion, not demand; **walksoflife.ai**, not walksoflife.net)
- `/sales-questionpro` — QuestionPro platform help (the **pipeline-grade** quantitative survey-panel option — a self-serve survey tier on a documented v2 REST API + webhooks, so panel data can actually reach a warehouse; but API calls are a **finite lifetime quota** that 429s permanently once spent, conjoint/MaxDiff are Research-Suite-only and untrialable, and the Audience panel is bid/quote-based with no published rate)
- `/sales-namelix` — Namelix platform help (**naming, not validation** — a free AI business-name generator: short brandable names across 8 styles + a randomness slider + free .com checks, paid logo via sister tool Brandmark; UI-only/no public API; route naming questions here, but remember naming is **downstream** of a validated idea — validate demand first, name later)
- `/sales-brandmark` — Brandmark platform help (**branding, not validation** — the paid AI logo maker Namelix funnels into: logo concepts → brand kit, one-time tiers ~$35/$95/$195, free preview vs paid download; UI-only/no API; a logo is downstream of a locked name, which is downstream of validated demand — validate and name first, brand last)
- `/sales-looka` — Looka platform help (**branding, not validation** — the **most-named** budget AI logo maker + full Brand Kit [formerly Logojoy]: name + industry → ~40 AI concepts → customize → pay to download; MIXED model — logo packages are **one-time** [Basic ~$20 / Premium ~$65] but the Brand Kit ~$96/yr and Brand Kit+Web ~$129/yr are **annual subscriptions** [unlimited edits + 300+ templates]; the **$20 Basic is a trap** [one non-transparent PNG, no vector] — Premium ~$65 is the first tier with transparent PNG + SVG/EPS/PDF + ownership; UI-only/no public API [and Looka ≠ Looker BI] — validate and name the idea before paying to brand it)
- `/sales-logoai` — LogoAI platform help (**branding, not validation** — a budget Brandmark/Looka rival: AI logo maker + Brand Center, one-time pay-to-download Basic ~$29 / Pro ~$59 / Brand, no refunds; its "Logo API" is a white-label reseller iframe, not a self-serve API — validate and name the idea before paying to brand it)
- `/sales-zoviz` — Zoviz platform help (**branding, not validation** — the **cheapest** logo/brand-kit peer + a broader Canva-like suite: one-time pay-to-download logo pack ~$19.99 / full brand kit ~$49.99 with lifetime access, plus monthly plans, no refunds; its "API" is an enterprise white-label Agency Panel, not a self-serve API — validate and name the idea before paying to brand it)
- `/sales-logomakerr` — Logomakerr.ai platform help (**branding, not validation** — a budget Looka/LogoAI/Brandmark peer, formerly "Instant Logo": AI logo maker + brand kit, one-time pay-to-download Basic ~$29 / Pro ~$59 / Brand ~$99, no refunds once downloaded; **UI-only, NO public API and no white-label program** — validate and name the idea before paying to brand it)
- `/sales-logomaster` — Logomaster.ai platform help (**branding, not validation** — a budget AI logo maker, three one-time tiers Basic ~$39 / Premium ~$99 / Enterprise ~$159 [Basic can't be edited or re-downloaded after purchase]; UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-mojomox` — Mojomox platform help (**branding, not validation** — a **typography-first, editor-first** budget logo maker + brand kit [in-house fonts + symbols, NOT name→AI-concepts]; hybrid pricing: one-time Brand Kit ~$49 for one logo vs Studio/Studio+ subscriptions for multiple; workspace stays editable, but the logo's typeface needs a separate webfont license; UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-brandolia` — Brandolia platform help (**branding, not validation** — a budget **freemium** AI brand-identity generator: name + sector → logo + brand kit + AI website builder + marketing visuals, refined with its "Oscar" AI assistant; **free to generate but the free tier can't download** — exporting spends tokens on paid tiers ~$10.70–49.92/mo; download formats unconfirmed; UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-designevo` — DesignEvo platform help (**branding, not validation** — a budget **freemium** template-based logo maker + editor by PearlMountain with native Mac/Windows/Android apps; the **free tier downloads but only a low-res PNG that credits DesignEvo and grants NO ownership**, Basic one-time adds high-res/transparent raster, **Plus one-time is the only tier with vector SVG/PDF + ownership**; UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-namecheap-logo-maker` — Namecheap Logo Maker platform help (**branding, not validation** — a **100% FREE** logo maker by the registrar Namecheap and the free peer that also gives **free VECTOR SVG + PNG** (vs Hatchful PNG-only / DesignEvo paid-vector); the one gate is a free Namecheap account. THE CATCH: icons come from The Noun Project with per-creator licensing — some need attribution or a ~$4.99 credit-waiver for commercial use; UI-only, NO public API — validate and name the idea before branding)
- `/sales-logo-com` — LOGO.com platform help (**branding, not validation** — a **subscription** AI logo maker + brand-kit platform; THE FREE TRAP: it markets "free to create and download," but the **free tier is PNG-only** (1 logo, full commercial license kept after cancel) while **vector SVG/PDF + the brand kit are PAID** on the Brand Plan ~$12/mo or ~$96/yr — for **free vector** use Namecheap instead, and note it's a subscription, not one-time; UI-only, NO public API and the "Creator Program" isn't automation — validate and name the idea before branding)
- `/sales-logomaker` — LogoMaker.com platform help (**branding, not validation** — a **Deluxe/LogoMix-owned** budget logo maker + editor; THE CATCH: there is **NO free download** — you design free but must buy a **one-time** package for any file (Professional ~$40 = high-res PNG + vector SVG; Premium ~$60 adds 1-year edits + social files), the harshest gate in the cluster — for a free logo use Namecheap/Hatchful; the logo is one-time but the surrounding Deluxe website/email/listings upsells are recurring (where billing complaints come from); UI-only, NO public API — validate and name the idea before branding)
- `/sales-logonerds` — LogoNerds platform help (**branding, not validation** — a **done-for-you HUMAN** logo service, not a DIY/AI tool and not a many-designer contest: fill out a brief → **one assigned in-house team** makes custom concepts in a few business days with free revisions + a scratch/redraw guarantee, flat one-time per package [reported ~$27/$47/$97] with **vector .ai/.eps source files in the base package**; no online editor, ownership terms unclear on-site; UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-logomakr` — LogoMakr platform help (**branding, not validation** — a budget **DIY** logo + broader graphic-design tool by **Sketch.IO** [3M+ graphics; also banners/t-shirts/social icons; AI generator + templates + a manual canvas]; THE FREE TRAP: you **can** download free but the free file is **low-res, NON-COMMERCIAL, and must credit LogoMakr** — commercial use needs a paid one-time package [Basic raster / **Pro adds vector SVG/EPS/PDF** / Business adds source files + human fixes]; shared non-exclusive icons → ownership ≠ trademark. **Namesake trap: NOT LogoMaker.com [/sales-logomaker] or Logomakerr.ai [/sales-logomakerr].** UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-logocrafter` — LogoCrafter platform help (**branding, not validation** — a budget **AI** logo maker on **iOS, Android, and web** with a **CREDIT-METERED pay-per-action** model unique in the cluster: free to install + **3 free credits**, then **generate = 1, edit = 1, 3 mockups = 1, VECTOR conversion = 3 credits**, bought in one-time packs that **never expire** [no subscription]; default export is high-res transparent **PNG** and **vector SVG is a PAID 3-credit conversion**, not the free "vector-quality" default [for free vector use /sales-namecheap-logo-maker]; no refunds on credits; commercial license ≠ trademark. **Namesake trap: NOT LogoMaker.com/LogoMakr/Logomakerr.ai.** UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-logodesign-net` — LogoDesign.net platform help (**branding, not validation** — a budget logo maker that is **TWO products in one**: a cheap **DIY** AI/template maker [10,000+ templates, reported from ~$37, download **PNG/JPG/PDF**] AND a done-for-you **HUMAN Custom Logo Design service** [real designers + dedicated account manager, reported from ~$199, **7 file types incl. vector source files + full ownership**, over days] — it **bridges the DIY cluster and the human-service lane** like /sales-logonerds, and contrasts the many-designer contest lane /sales-designcrowd; **vector/source files are the paid/service upgrade** [free vector → /sales-namecheap-logo-maker]; also a broader design suite [website builder, business cards, social, QR, mockups]; pricing/tiers conflict across sources; ownership ≠ trademark. UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-designs-ai-logomaker` — Designs.ai Logomaker platform help (**branding, not validation** — a budget AI logo maker that is the **entry-point into Designs.ai broad AI creative suite** [Chat/Image/Video/Slides/Audio/Agents], so a brand kit auto-applies across generated content; **PAY-TO-DOWNLOAD** [the free plan gives no usable file — for a free logo use /sales-namecheap-logo-maker or /sales-hatchful] with a genuine **pricing-model conflict** [standalone Logomaker = one-time/lifetime ~$19–$49 perpetual license vs the suite = subscription + AI credits — verify live]; the **paid download DOES include vector** [PNG/JPG/SVG/PDF/EPS], so vector is NOT a further tier upsell like at /sales-smashinglogo; 10K+ shared icons, ownership ≠ trademark. **"Design*" namesake:** distinct from Design.com/Designhill/DesignEvo [/sales-designevo]/DesignCrowd [/sales-designcrowd]. UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-easylogo` — EasyLogo platform help (**branding, not validation** — a **grid-based, draw-it-yourself** minimalist logo maker by **Haplo** [Apple apps iPhone/iPad/Mac/Vision Pro + a **free web version** at haploapp.com]: you **tap dots on a snapping grid** to draw line/circle paths into a **geometric/monoline** mark — **NOT AI-generated** [unlike /sales-logocrafter, /sales-logoai] and **NOT template-fill** [unlike /sales-hatchful, /sales-designevo], you draw it yourself. **Simplest billing in the cluster:** a free web version [no signup, no watermark] OR a **low-cost one-time paid app** [no subscription, no credits, no IAP], and **SVG vector export is INCLUDED** [PNG 512/1024 + SVG], not a paywalled upsell — a cheap route to a hand-drawn vector. Ownership terms **undocumented** + a plain geometric mark can be non-distinctive → clearance still matters. **Namesake trap: NOT easylogo.co** [an unrelated human design agency]. UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-logology` — Logology platform help (**branding, not validation** — a **STRATEGY-LED** budget logo maker for founders [logology.co]: it opens with an **11-question BRAND PERSONALITY TEST**, then **matches you to pre-made "logo proposals"** [500+ **original in-house** designs, NOT a shared icon database] reflecting your brand values, and you **PAY ONLY AFTER you pick** [no signup to start] — **questionnaire-first**, not the instant-AI-from-a-name peers [/sales-logocrafter, /sales-logoai, /sales-brandmark] or template-fill [/sales-hatchful, /sales-designevo]. **ONE-TIME** [not subscription]: **Start ~$69 = PNG only** on a **non-exclusive pre-made** mark / **Grow ~$119** adds **source/vector files** + variations / **Establish ~$799** = a **custom human-designed** logo with **exclusive rights + copyright transfer** + a brand call [full brand-guidelines add-on from ~$599]. **VECTOR is a tier upgrade** [free vector → /sales-namecheap-logo-maker; free PNG → /sales-hatchful]; cheap tiers give a shared **non-exclusive** mark and a license ≠ a trademark. UI-only, NO public API — validate and name the idea before paying to brand it)
- `/sales-manypixels` — ManyPixels platform help (**design service, not validation** — the first **design-as-a-service** peer: a flat-monthly **UNLIMITED-request graphic-design subscription** where human designers deliver ongoing marketing creative [social/ads/web/illustration/motion/video] through a **SERIALIZED queue** — "unlimited requests" ≠ unlimited output, throughput = the plan's **1–2 outputs/day** [shared-queue Advanced ~$699 / Business ~$1,199 vs **dedicated-designer + same-day** Assigned Designer ~$1,399 / Design Team ~$2,599]; every plan gives **native source files + full copyright/IP transfer**; the "hire it out" counterpart to DIY /sales-canva, distinct from a one-off logo /sales-logonerds. Top gotcha: **designer swaps on shared-queue plans** → go dedicated. UI-only, NO public API — the design step is downstream of a validated, named idea)
- `/sales-audience-growth` — Grow a pre-launch waitlist and capture demand once you're testing
- `/sales-funnel` — Build the smoke-test / fake-door landing page the demand test runs on
- `/sales-customer-feedback` — Collect and prioritize feedback once you have early users
- `/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: "My AI validator gave it 8/10 — should I build?"
**User says**: "Validator AI scored my idea 8 out of 10 with a big market size. Good to go?"
**Skill does**: Reframes the score as a directional gut check that can be confidently wrong, not proof
of demand; keeps the useful parts (competitor list, GTM angle, pitch sharpening) and prescribes the
real test — a smoke-test landing page with a defined ≥5%-join threshold, then a pre-sale for
willingness-to-pay — routing the build to `/sales-funnel` and signups to `/sales-audience-growth`.
**Result**: The founder gets a go/no-go from stranger behavior instead of betting weeks on a number.

### Example 2: Cheapest way to know if anyone wants it (developer/automation-minded maker)
**User says**: "I can vibe-code the MVP in a weekend, but how do I know it's worth it first?"
**Skill does**: Lays out the evidence ladder cheapest-first — problem research + ~10 behavior-focused
interviews, a fast AI validation for structure/competitors, then a fake-door landing page measuring
"Get started" clicks, and finally a pre-sale — with a pre-committed go/no-go threshold, so a weekend
of building is spent only after a stranger signals real demand.
**Result**: A concrete, under-$100 validation plan that gates the build on evidence, not enthusiasm.

### Example 3: Which validation tool for a go/no-go?
**User says**: "Is there one tool that just tells me build-or-don't-build?"
**Skill does**: Separates AI validators (Validator AI free gut check; DimeADozen's one-time,
keep-forever report — with the caveat its citations and comp-set need vetting) from real-demand tools
(Trend Seeker's Reddit signal; a landing page + waitlist),
recommends using an AI validator to sharpen the pitch and a demand test to decide, and warns that any
single AI verdict can be confidently wrong — cross-check with a second source.
**Result**: The user picks a two-step stack (AI sharpen → real-demand decide) instead of trusting one score.

## Troubleshooting

### "The AI said my idea is great but I'm not sure I believe it"
**Symptom**: A glowing AI validation the founder senses is too easy.
**Cause**: LLM validators pattern-match to plausible-sounding encouragement and can invent supporting
"facts" (market size, demand) — a high score reflects the model, not the market.
**Solution**: Keep the structured outputs (competitors, risks, positioning), discard the verdict, and
earn a real one: run a smoke test to a pre-set conversion threshold and attempt a pre-sale. Cross-check
with a second validator or `/sales-trendseeker`.

### Lots of waitlist signups but unsure it means anything
**Symptom**: The fake-door page collected emails but the founder doesn't trust the signal.
**Cause**: A free email is low-commitment; it shows curiosity, not willingness to pay.
**Solution**: Escalate commitment — add a "reserve your spot for $X" or pre-order step, or ask a subset
to hop on a paid pilot. Weight the decision on the paid conversions, not the raw email count.

### Can't tell if the problem is real
**Symptom**: Interviews are friendly but inconclusive.
**Cause**: The questions asked about the *idea* ("would you use this?") instead of *behavior*.
**Solution**: Re-run ~10 conversations asking about the last time they hit the problem and what they
actually did/spent to solve it. Existing paid workarounds = real problem; shrugs = no pain, no market.