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Saas Idea Validator

CommunityPopular
cbrock84
saas-idea-validator

Evaluates a software or startup idea against problem, market, competition, monetization, defensibility, and execution, and returns a verdict rather than encouragement. Use this when an idea needs pressure-testing before anyone builds, when deciding whether something is worth pursuing, when assessing competition or willingness to pay, or when a validated idea needs a first-customers and MVP plan. Default to scrutiny; the useful answer is usually the unwelcome one.

Overview

Publishercbrock84
Repositoryheadcount
Skill namesaas-idea-validator
Stars
1.6K
Forks
237
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by cbrock84 on GitHub. Read the source before you install it.

Installation

Install the Saas Idea Validator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cbrock84/headcount.git /tmp/headcount
mkdir -p .claude/skills
cp -r /tmp/headcount/plugins/executive/skills/saas-idea-validator .claude/skills/saas-idea-validator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Saas Idea Validator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Saas Idea Validator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Saas Idea Validator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SaaS idea validator

Most ideas fail for reasons visible before any code is written. Finding them costs an hour; not finding them costs a year.

Interrogate in this order

Problem. Who has it, how often, and what does it cost them today? An idea survives this only if you can name a specific person and what they currently do instead. "Businesses struggle with X" is not a problem statement — it is a category.

The strongest signal is a workaround: someone has built a spreadsheet, hired a contractor, or strung tools together to survive this. Paid workarounds are validated demand.

Market. Who exactly, and how many, and can you reach them? A large market you cannot address cheaply is smaller than a narrow one you can. Ask specifically: where do these people already gather, and what would it cost to reach a hundred of them this month?

Competition. Established competitors are usually good news — they prove budget exists. The dangerous answers are "nobody is doing this" (usually because it does not work or nobody pays) and "everybody is doing this" with no differentiation.

Name the actual alternative, including doing nothing and using a spreadsheet, which win far more often than competitors do.

Monetization. Who pays, how much, and out of which budget? Products die between "useful" and "someone has a line item for it." If the buyer and the user are different people, that is a different and harder business.

Defensibility. What stops a competitor copying this in a quarter? Features are not a moat. Data, switching costs, network effects, distribution, and regulatory position are.

Execution. Can this team build and sell it? Distribution is more often the binding constraint than engineering, and it is more often the one nobody has thought about.

The verdict

Give one. "It depends" is an evasion.

  • Pursue — what to validate first, and the cheapest test.
  • Pursue if — the specific condition that must hold, and how to check it.
  • Reframe — the adjacent idea that is stronger, and why.
  • Do not pursue — the reason, stated once, without softening.

Red flags

Any one of these should lower the verdict materially, and several together are usually fatal:

  • The problem is described in terms of the solution, and the founder cannot state it without mentioning their product.
  • Nobody currently pays anything to solve it, including in labor.
  • The stated advantage is "better UX" or "AI-powered" with nothing structural underneath.
  • The buyer is "everyone," or the segment widened when challenged.
  • Revenue depends on a platform whose terms could change unilaterally.
  • The founder has not spoken to ten prospective customers, and has a reason why not.

The investor lens

Whether or not you are raising, the question is clarifying: could this plausibly become large, and what would have to be true?

  • What does this look like at scale — same motion at ten times the volume, or a different business?
  • Where does growth come from once the obvious channel saturates? Most plans have exactly one channel and no answer.
  • What is the wedge and what is the expansion? A narrow entry point is a strength only if there is somewhere to go from it.
  • Why has nobody done this? Usually there is a reason. Find it before assuming you spotted something others missed.

When it survives

The first job is not building. It is finding ten people with the problem who will say what they do today and what they would pay. If ten cannot be found in a fortnight, the reachability answer above was wrong.

Then the smallest thing that delivers the value once, manually if necessary. A concierge version that works beats an automated version that might.

Never

  • Score an idea favorably because the person is invested in it.
  • Accept "there's no competition" without checking what people do instead.
  • Recommend building before anyone has said they would pay.

Frequently asked questions

What does the Saas Idea Validator AI skill do?

Evaluates a software or startup idea against problem, market, competition, monetization, defensibility, and execution, and returns a verdict rather than encouragement. Use this when an idea needs pressure-testing before anyone builds, when deciding whether something is worth pursuing, when assessing competition or willingness to pay, or when a validated idea needs a first-customers and MVP plan. Default to scrutiny; the useful answer is usually the unwelcome one.

Why use Saas Idea Validator on TypingMind?

Because you install it once and use it with any model. Saas Idea Validator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Saas Idea Validator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cbrock84/headcount/tree/main/plugins/executive/skills/saas-idea-validator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Saas Idea Validator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Saas Idea Validator?

As many as you like. As long as a model supports skills, you can use Saas Idea Validator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Saas Idea Validator AI skill free?

Yes. It is published on GitHub by cbrock84 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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