scanned Apr 27, 2026

LaunchChair

launchchair.io

LaunchChair helps founders build software with AI by validating market wedge, creating a living product spec, and generating spec-aware prompts

29/100

Tier 2 · Basic Presence

Content answers22/100

Protocol plumbing45/1005 of 11 checks pass

Re-audit3223h ago· 1 credit

Scored by asking 15 questions a buyer of a ai-ml product asks, then grading this site’s own pages: answered, hedged (partial or vague), or silent (no page answers it). How scoring works

15 buyer questions · graded against the site’s own pages

0 of 15 come back answered. 5 get a hedge. 10 meet silence.

0 answerable5 half-answers10 silent

Goes silent · limits · high importance

If I'm on the paid plan and hit my monthly prompt generation limit mid-sprint, do my existing specs stop working or just new generations? Can I buy one-off credit packs without upgrading tiers, and what's the per-prompt overage cost?

Goes silent · migration · medium importance

I have six months of specs in a messy Google Doc from my last failed startup. Does LaunchChair have any import tool that can parse unstructured product docs into your structured format, or am I copy-pasting everything manually?

This report is public. Own launchchair.io? Claiming is free: crawl every page, re-audit as you fix, and track your score over time.

The fix queue

71 points sit between launchchair.io and 100: 15 open questions and 6 missing protocol checks, ordered by estimated payoff.

Point estimates are per fix under scoring v2. They are not additive to a promised total.

01limits · importance highGoes silent+7 content pts est.

If I'm on the paid plan and hit my monthly prompt generation limit mid-sprint, do my existing specs stop working or just new generations? Can I buy one-off credit packs without upgrading tiers, and what's the per-prompt overage cost?

What the pages say

No page on the site addresses this.

The fix

Add a dedicated pricing/limits FAQ or documentation page that clarifies: (1) whether any hard limits exist on prompt/spec generation per plan, (2) what happens when limits are reached, and (3) whether overage credits or one-off packs are available for purchase without tier upgrades.

confidence high · grounding synthesized · weight 0.00 · Absent

02migration · importance mediumGoes silent+7 content pts est.

I have six months of specs in a messy Google Doc from my last failed startup. Does LaunchChair have any import tool that can parse unstructured product docs into your structured format, or am I copy-pasting everything manually?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated migration/import page or FAQ addressing whether LaunchChair can import existing product specs from Google Docs, Notion, or other unstructured formats, or explicitly state that users need to manually transfer their content.

confidence high · grounding world-knowledge · weight 0.00 · Absent

03operations · importance mediumGoes silent+7 content pts est.

My product pivoted twice already. Can I branch my living spec like git, or does editing overwrite history? I need to show investors the evolution from original wedge hypothesis to current scope without losing the failed directions.

What the pages say

No page on the site addresses this.

The fix

Add documentation or FAQ addressing: (1) whether the living spec maintains version history, (2) if founders can branch or fork specs to explore pivots, (3) how to export or present evolution from original wedge hypothesis through pivots to investors. Consider a 'Version control & history' or 'Pivots & branching' section.

confidence high · grounding synthesized · weight 0.00 · Absent

04security · importance mediumGoes silent+7 content pts est.

I'm pre-launch and paranoid about my wedge idea leaking. If I delete my account, what's your actual data retention policy for the specs and market analysis I created? Is it immediate hard delete or 30-day soft delete like most SaaS?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated security/privacy page or FAQ entry that explicitly states the data retention policy upon account deletion, including whether specs and market analysis are hard-deleted immediately or retained in a soft-delete state for a period.

confidence high · grounding world-knowledge · weight 0.00 · Absent

05technical · importance mediumGoes silent+7 content pts est.

Your homepage mentions 'spec-aware prompts' but doesn't list which stacks get specialized treatment. If I'm building on Supabase + Flutter vs. Firebase + React Native, do I get different prompt engineering, or is it generic 'build a mobile app' output?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated page or FAQ entry listing supported technology stacks and explaining whether prompts are customized per stack (e.g., 'Supabase + Flutter prompts include Row Level Security patterns and widget testing scaffolding') or if all prompts are generic and stack-agnostic.

confidence high · grounding world-knowledge · weight 0.00 · Absent

06integration · importance lowGoes silent+7 content pts est.

I want to trigger spec regeneration when my Mixpanel cohort data changes or when I merge a PR that affects the data model. Do you have outgoing webhooks or a Zapier integration, or is the workflow entirely manual within your UI?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated integrations or automation page documenting webhook capabilities, Zapier/Make compatibility, or native integrations with analytics tools (Mixpanel, Amplitude) and version control systems (GitHub, GitLab) for triggering spec regeneration.

confidence high · grounding synthesized · weight 0.00 · Absent

07operations · importance lowGoes silent+7 content pts est.

I work from cafes with spotty wifi. Is there any offline mode or desktop app where I can draft specs and queue them for AI generation when I'm back online, or is the entire product web-only and requires constant connection?

What the pages say

No page on the site addresses this.

The fix

Add a FAQ or feature page addressing offline capabilities, desktop app availability, or connectivity requirements. If the product is web-only, explicitly state this and explain any workarounds (e.g., MD file exports for local editing).

confidence high · grounding world-knowledge · weight 0.00 · Absent

08security · importance lowGoes silent+7 content pts est.

My specs contain proprietary market research and customer interview quotes. When LaunchChair generates prompts using my spec, is my data used to train your fine-tuned models or the underlying LLM providers? What's your zero-day retention policy with OpenAI/Anthropic?

What the pages say

No page on the site addresses this.

The fix

Add a dedicated security/privacy page or FAQ section addressing: (1) whether user data in specs is used to train LaunchChair's own models or underlying LLM providers' models, (2) zero-day retention policies with OpenAI/Anthropic, and (3) data handling for proprietary/sensitive content like market research and customer quotes.

confidence high · grounding world-knowledge · weight 0.00 · Absent

09support · importance lowGoes silent+7 content pts est.

I'm in APAC timezone and often coding at 2am. Is there any guaranteed response time for paid plans, or is it best-effort? Specifically, if the AI generation fails on a spec I've been iterating for hours, what's the escalation path?

What the pages say

No page on the site addresses this.

The fix

Create a dedicated support or help center page that specifies response time SLAs by plan tier, timezone coverage, and escalation procedures for critical issues like AI generation failures.

confidence high · grounding world-knowledge · weight 0.00 · Absent

10technical · importance lowGoes silent+7 content pts est.

I have very specific prompt engineering patterns that work with my preferred models. Can I override LaunchChair's default prompt generation with my own Jinja2 or Handlebars templates, or am I locked into your prompt architecture?

What the pages say

No page on the site addresses this.

The fix

Add documentation or FAQ entry explaining whether users can customize prompt templates, and if not, clarify the architectural decision.

confidence high · grounding synthesized · weight 0.00 · Absent

Hedged · 5 of 15 questions

A buyer gets something, then has to guess the rest. Expand any row for the evidence and the fix.

11I'm a former PM who can write specs but can't code. Does LaunchChair assume I have technical knowledge to validate the AI-generated prompts, or does it have guardrails that catch when the AI is suggesting something technically infeasible for my described stack?getting-startedHedges+2 pts est.

I'm a former PM who can write specs but can't code. Does LaunchChair assume I have technical knowledge to validate the AI-generated prompts, or does it have guardrails that catch when the AI is suggesting something technically infeasible for my described stack?

What the pages say

LaunchChair does not explicitly state that it validates technical feasibility against your described stack. The product generates "spec-aware prompts" with "guardrails" and "strict acceptance" criteria to reduce drift, but these guardrails appear focused on keeping prompts aligned with your product spec rather than catching technically infeasible suggestions for non-technical users. The site describes LaunchChair as requiring you to "keep using your own coding tools and model accounts" and does not position itself as validating whether AI-generated code will actually work with your specific technical stack. The "guardrails" mentioned (chunks [1], [8], [11]) refer to prompt quality and spec alignment, not technical stack validation.

The fix

Add explicit documentation on whether LaunchChair validates technical feasibility: does it check if suggested implementations work with described stacks (e.g., 'React + Supabase + Stripe')? Clarify whether non-technical users need engineering review or if the system catches incompatibilities automatically.

Where we looked: /llms-full.txt, www.launchchair.io, www.launchchair.io, www.launchchair.io

confidence medium · grounding synthesized · weight 0.65 · Vague

12I'm bootstrapping my first SaaS and want to test LaunchChair before committing. What's the hard limit on AI-generated specs I can create on the free plan, and does it include the market validation wedge analysis or just the product spec builder?pricingHedges+2 pts est.

I'm bootstrapping my first SaaS and want to test LaunchChair before committing. What's the hard limit on AI-generated specs I can create on the free plan, and does it include the market validation wedge analysis or just the product spec builder?

What the pages say

The chunks do not mention a free plan—only paid plans starting at $19/month (Founder). The lowest tier shown is Founder at $19/month with 1 project, 1 team seat, and infinite project resets. The market validation wedge analysis appears to be core to the product across all tiers, as chunks describe LaunchChair as starting with 'validation intelligence' and 'market validation' before building. However, specific limits on 'AI-generated specs' are not stated; the product uses your own model accounts and does not meter AI tokens.

The fix

Add a clear pricing page or FAQ entry that explicitly states whether a free tier exists, what the hard limits are on AI-generated specs per plan, and whether market validation wedge analysis is available on all tiers or restricted to higher plans.

Where we looked: /llms-full.txt, /llms-full.txt, www.launchchair.io, /llms-full.txt, /llms-full.txt

confidence medium · grounding synthesized · weight 0.65 · Vague

13My dev team uses Linear for tickets and Notion for docs. Can I export the living product spec directly to those formats, or do I get markdown/JSON that I have to manually convert? What about PRD templates for specific frameworks like Shape Up or GIST?technicalHedges+2 pts est.

My dev team uses Linear for tickets and Notion for docs. Can I export the living product spec directly to those formats, or do I get markdown/JSON that I have to manually convert? What about PRD templates for specific frameworks like Shape Up or GIST?

What the pages say

LaunchChair offers 'MD file exports' as a feature on paid plans (Builder tier and above based on the pricing page structure), but the chunks do not specify native Linear or Notion export integrations. The site mentions 'Agent API and MCP support' on paid plans, which could theoretically enable custom integrations, but no direct export to Linear tickets or Notion docs is documented. Regarding PRD templates for specific frameworks like Shape Up or GIST, the chunks do not mention these frameworks or any pre-built templates beyond the general 'living product spec' structure.

The fix

Add explicit documentation on whether Linear/Notion exports are native integrations or require manual markdown import, and clarify whether PRD templates for popular frameworks (Shape Up, GIST, Jobs-to-be-Done, etc.) are available or planned.

Where we looked: www.launchchair.io, /llms-full.txt

confidence medium · grounding synthesized · weight 0.65 · Vague

14I switch between Cursor, Windsurf, and Claude Code depending on the task. Does LaunchChair generate tool-specific prompt formats, or is it one generic output I have to adapt? Specifically, do you support Cursor's .cursorrules or Windsurf's cascade instructions?integrationHedges+2 pts est.

I switch between Cursor, Windsurf, and Claude Code depending on the task. Does LaunchChair generate tool-specific prompt formats, or is it one generic output I have to adapt? Specifically, do you support Cursor's .cursorrules or Windsurf's cascade instructions?

What the pages say

LaunchChair generates dynamic prompts from your product spec that you use in GPT, Codex, Claude, and Claude Code. However, the chunks do not specify whether LaunchChair generates tool-specific formats like Cursor's .cursorrules or Windsurf's cascade instructions. The site mentions "dynamic prompts" and "spec-aware prompts" but does not explicitly confirm or deny support for these specific IDE configuration formats.

The fix

Add explicit documentation about whether prompts are exported as generic text or in tool-native formats like .cursorrules, .windsurfrules, or cascade instructions. A compatibility matrix showing which IDE configurations are supported would directly answer this buyer question.

Where we looked: /llms-full.txt, /llms.txt, www.launchchair.io, /llms-full.txt, /llms.txt, /llms-full.txt, /llms-full.txt, www.launchchair.io

confidence medium · grounding synthesized · weight 0.65 · Vague

15I have a technical co-founder and a designer who both need to edit specs. On the team plan, are there concurrent editing locks like Figma, or can we both modify the same wedge analysis simultaneously? What's the per-seat cost beyond the base two?limitsHedges+2 pts est.

I have a technical co-founder and a designer who both need to edit specs. On the team plan, are there concurrent editing locks like Figma, or can we both modify the same wedge analysis simultaneously? What's the per-seat cost beyond the base two?

What the pages say

The Builder plan ($39/month) includes 2 seats, and the Agency plan ($99/month) includes 10 seats. However, the site does not specify whether concurrent editing uses locks like Figma or allows simultaneous modification of the same wedge analysis, nor does it state the per-seat cost for adding seats beyond the base allocation on any plan.

The fix

Add explicit documentation on real-time collaboration behavior (locking vs. simultaneous editing) and per-seat pricing for additional team members beyond base plan allocations.

Where we looked: www.launchchair.io, www.launchchair.io, www.launchchair.io

confidence medium · grounding stated · weight 0.75 · Vague

Protocol plumbing · 45/1005 of 11 checks pass · each fix +9 protocol pts est.

The other half of the score: 11 checks for the files and headers agents look for. The 6 below are installs, not judgment calls, and most are an afternoon. Expand any for the snippet and the standard it follows. They sit after the queue because none of them changes what your pages say.

Content signalAccess+9 pts est.

Install snippet

User-agent: *
Content-Signal: search=yes, ai-input=yes, ai-train=no
Allow: /

StandardCloudflare proposalVendor proposal

Markdown negotiationRendering+9 pts est.

StandardRFC 9110 + 7763IETF RFC

Server-rendered contentRendering+9 pts est.

StandardSitedex metricSitedex metric

MCP cardInteraction+9 pts est.

Sitedex generates this file from your crawl. Grab it in Files from this audit below.

StandardModel Context ProtocolCommunity spec

OpenAPI specInteraction+9 pts est.

StandardOpenAPI SpecIndustry standard

WebMCP widgetInteraction+9 pts est.

Sitedex generates this file from your crawl. Grab it in Files from this audit below.

StandardW3C WebMCP draftW3C / WHATWG

Already passing 5 of 11: robots.txt, sitemap.xml, llms.txt, AI crawler access, Clean crawl.

Ask this site’s index

Sitedex already serves launchchair.io as an MCP endpoint. Ask launchchair.io anything an AI agent might ask, and see what its index returns. (To score your own site, use the form below.)

Snippets & configs

For developers and the engineer-on-call: copy these into your tools or your site.

Files from this audit

Built from this crawl. Download or copy each, then install it at the path noted.

llms.txt

Built from this crawl. Install at /llms.txt so agents start here.

organization.json

Organization JSON-LD, pre-filled from this crawl. Wrap in a ld+json script.

server-card.json

MCP server card built from this crawl. Host at /.well-known/mcp/server-card.json.

webmcp.json

WebMCP discovery manifest built from this crawl. Host at /.well-known/webmcp.json.

MCP endpoint

https://mcp.sitedex.dev/s/launchchair-io/mcp

The URL anyone's agent points at. Read-only; safe to share.

Claude Code

claude mcp add launchchair --transport http https://mcp.sitedex.dev/s/launchchair-io/mcp

One command, then the agent has it.

Cursor / Continue

{
  "mcpServers": {
    "launchchair": {
      "url": "https://mcp.sitedex.dev/s/launchchair-io/mcp"
    }
  }
}

Drop into mcp.json.

WebMCP: two parts

WebMCP-capable browsers run the widget at runtime. Crawlers without JS rendering need the discovery manifest to find your tool surface. Install both.

1 · Widget script

<script async src="https://sitedex.dev/widget.js"></script>

Drop in <head>. WebMCP-capable browsers (Chrome 146+ Origin Trial) call navigator.modelContext.provideContext() via this script.

2 · Discovery manifest

{
  "$schema": "https://wellknownmcp.org/schemas/webmcp.json",
  "name": "launchchair.io",
  "tools": [
    { "name": "search", "description": "Search launchchair.io's indexed content." },
    { "name": "get_page", "description": "Fetch a page from launchchair.io as markdown." }
  ]
}

Host alongside the script at /.well-known/webmcp.json. Crawlers that don't render JS rely on this.

Your turn

See which of these questions your site goes silent on.

Free, about 5 minutes. We crawl your site, test it against the buyer questions your category asks, and name what’s vague, contradictory, or missing, plus the files AI agents look for.

ComingEmbeddable grade badgeScore history and deltasOpt-in public board