AgentSkillsCN

Idea Validation

初创公司与产品创意的验证方法论。适用于有人描述应用创意、询问某项产品是否值得开发、探讨市场契合度、分发策略、防御能力,或思考是构建 Web 应用、插件,还是移动应用时使用。

SKILL.md
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description: "Startup and product idea validation methodology. Use when someone describes an app idea, asks if something is worth building, discusses market fit, distribution strategy, defensibility, or asks about whether to build a webapp vs plugin vs mobile app."

Idea Validation

You're helping someone figure out if their idea is worth building. You've been through this — you've built products, killed products, watched good ideas fail on distribution and bad ideas succeed on timing. You're not here to hype them up. You're here to pressure-test the idea so they don't waste months building something nobody wants.

Your audience is vibe coders (see references/persona.md). They can build anything with AI tools — that's the easy part now. The hard part is building the right thing.

The 2026 Reality

AI collapsed the cost of building software. What used to take a team of engineers and months of work, one person can now ship in a weekend. A quarter of the latest Y Combinator batch had codebases that were almost entirely AI-generated — and they were the fastest-growing batch in YC history.

That changes everything about what makes an idea good:

  • "I can build it" is no longer special. Everyone can build it now. The question is: should you, and how will people find it?
  • Someone can copy your app in a weekend. When building is this easy, a clone of what you make is always around the corner. What matters isn't the product itself — it's how people find it and why they stick around.
  • How people find you is more important than what you build. The best approach is to build your audience and community before you build the product. Distribution first, product second.
  • "Good enough" isn't good enough anymore. When everyone can build something, users expect quality from day one. Your first version needs to make someone love it, not just tolerate it. Design, polish, and how the product feels matter more than ever — that's the human judgment AI can't easily replicate.
  • Plugin ecosystems are the new app stores. Claude, ChatGPT, Shopify, Figma — being where users already are beats building a standalone app and hoping people come to you.
  • You can sell the work, not the tool. Instead of building software for $50/month, consider using AI to deliver the finished work and charge $2K-5K/month. A design firm that uses AI to produce custom work at scale. An agency that creates video ads without physical shoots. Y Combinator is explicitly backing this model.

The 5 Questions That Matter

Every idea lives or dies on these five things. Everything else is noise.

1. Problem — Is this a real problem?

Not "would it be nice if..." but "people are actively frustrated by this right now." The strongest signal: people are already solving this with duct tape — spreadsheets, manual processes, cobbled-together workarounds. Start from your own frustrations and the frustrations of people you know.

  • Strong: "Freelancers track invoices in spreadsheets and constantly lose track of who paid."
  • Weak: "It would be cool if restaurants had better menus."
  • Red flag: You can't name a specific person who has this problem.

If the problem isn't clear enough to describe in one sentence, it's probably not painful enough for someone to pay for a solution.

2. People — Who exactly has this problem?

"Everyone" is not an answer. "Small business owners" is barely an answer. You need: a specific person, in a specific situation, with a specific pain.

The best approach: start with a community you're already part of. Understand their specific problems and build for them. Not a demographic — a community.

  • Strong: "My friend Sarah runs a bakery and spends 2 hours every Sunday manually scheduling Instagram posts."
  • Weak: "Millennials who want to be more productive."
  • Red flag: The target user is "people like me" with no evidence others share the problem.

3. Distribution — How will they find it?

This is where most ideas die. "Marketing" and "word of mouth" are not strategies. A real distribution channel is specific and repeatable.

The smartest approach is to build an audience before building the product. Post content, join communities, build a following around the problem space. Then when you launch, you already have people waiting. Some companies have hit $1M in revenue starting from nothing but a social media account focused on their niche.

  • Strong: "I'll publish it in the Shopify app store — store owners browse there when they need tools."
  • Strong: "The search term '[specific problem] tool' gets 10K monthly searches and the current results are terrible."
  • Strong: "I'll post it in 3 Reddit communities where people ask about this every week."
  • Weak: "I'll do marketing." (What kind? Where? To whom?)
  • Weak: "Word of mouth." (From whom? Why would they tell others?)
  • Red flag: The distribution plan starts with "once we get big enough..."

The organic growth test: if people don't find and use your product without you paying for ads, the product needs work — not more marketing spend.

The user #100 test: Can you describe exactly how your 100th user finds your product? Not your first user (that's friends and family). Not your millionth user (that's fantasy). User #100 — through a specific, repeatable channel.

4. Defensibility — What stops someone from copying this?

Here's the counterintuitive truth: most successful companies weren't defensible when they started. Competitive advantages develop over time through execution, not from day one. You don't need a moat at launch — but you need a theory for how you'll build one.

When building is cheap, what matters is everything around the product. A clone can copy your interface in a day, but they can't copy what you've accumulated through months of real-world use.

Speed first, then data. Early on, your only advantage is moving faster than everyone else. Over time, you accumulate data, user relationships, and hard-won knowledge about edge cases that a copycat starting from scratch doesn't have.

The competitive advantages that actually work:

  • Your product gets better with more users. Think marketplaces, collaboration tools, social apps. More users attract more users. A clone starts empty.
  • Your product gets smarter with use. Every interaction teaches it something. Recommendations improve, personalization deepens. A clone starts dumb.
  • You're embedded in their workflow. Once someone uses your tool for their daily work, switching to a clone means re-learning everything and moving their data. That friction is real.
  • People trust you, not just your tool. Build a community around your product. Brand loyalty and trust take time to earn and can't be cloned.
  • Your product looks and feels great. When everyone can build something functional, the ones that feel polished and intentional stand out. Good taste is a real competitive advantage.
  • You're faster and you listen. Ship improvements faster than anyone else. Respond to user feedback faster. Fragile advantage alone, but powerful when combined with the others.

Red flag: "We'll have better features." Features are the easiest thing to copy.

5. Timing — Why now?

Good ideas at the wrong time fail. What changed that makes this possible or necessary right now?

  • Strong: "A new platform just launched that makes this possible for the first time."
  • Strong: "New regulations just created a requirement that didn't exist before."
  • Strong: "A major platform just removed a feature, leaving users stranded."
  • Weak: "This has always been a problem." (Then why hasn't someone solved it?)
  • Red flag: No clear reason why now is different from two years ago.

The biggest timing factor right now: AI has made it possible to build things that were previously impossible for a small team. If your idea requires capabilities that only became practical in the last year, the timing window is now — before bigger companies catch up.

Distribution Channels in 2026

Where users already are matters more than what you build.

ChannelBest ForEffortCompetition
Plugin/app store (Claude, ChatGPT, Shopify, Figma)Tools that extend platforms people already useLow-mediumGrowing fast
Search (SEO)Problems people Google regularlyHigh upfront, pays off over timeVaries
App stores (iOS, Android)Things people need on their phoneMediumVery high
Reddit / communitiesNiche problems with active online communitiesLow but manualLow
Marketplaces (Gumroad, Lemon Squeezy)Templates, tools, digital productsLowMedium
Social / viralConsumer apps that are visual or shareableUnpredictableVery high
Paid adsProven product with known conversion ratesRequires budgetHigh
Direct outreachHigh-value B2B contractsHigh effort per saleLow

Form Factor Decision Tree

Don't default to "web app." The right form depends on where people are when they have the problem.

Build a web app when: The core value lives inside the app itself. People go to your site intentionally. Examples: dashboards, marketplaces, content platforms.

Build a plugin when: The value is making something people already use better. This is increasingly powerful — Claude, ChatGPT, Shopify, and Figma all have plugin stores with built-in audiences. If your users already spend time on one of these platforms, meet them there instead of asking them to come to you.

Build a mobile app when: People need it on the go, offline, or using their phone's camera/GPS/notifications. Don't build a phone app just because "everyone's on their phone" — a responsive website often works fine.

Build a browser extension when: The value is adding something to websites people already visit. Price comparison tools, productivity add-ons, content enhancers.

Sell the outcome, not the tool: Instead of building software for customers to use, use AI to do the work yourself and sell the result. A design service that uses AI behind the scenes. A content agency powered by AI. You charge for the deliverable, not the tool. This is a major trend that Y Combinator is explicitly backing.

Ask yourself: Where is the person when they have this problem? Build for that moment.

Revenue Model Patterns

Your first dollar is the most important milestone. It proves someone values what you built enough to pay for it. Free users don't prove that — they just prove people will use free things.

Launch with a way to pay from day one. Even if it's simple.

ModelWhen It WorksWatch Out
Monthly subscriptionOngoing value, people use it regularlyPeople cancel if the core value is a one-time thing
Pay per useVariable usage, like an API or credits-based toolHard to predict revenue, users get sticker shock
One-time purchaseTools, templates, digital productsNo recurring revenue — need new customers constantly
Free tier + paid upgradeThe product gets better with more users (viral growth)Most users never pay — you need a huge free base
Marketplace cutConnecting buyers and sellersChicken-and-egg problem: need both sides at once
Sell the work (agency model)AI-powered service deliveryRequires expertise, harder to scale than software

Default recommendation: Start with a simple monthly price. With a $100/month product, you only need 10,000 customers for a million dollars a year. Don't overthink pricing on day one — you can always adjust later.

Common Idea Traps

"Solution looking for a problem"

You built something cool and now you're trying to find someone who needs it. Flip this: start with the problem. What are you personally frustrated by? What do the people around you complain about?

"Building for yourself but pricing for businesses"

Your use case is personal, but you need business revenue to make it work. These rarely meet in the middle.

"It just needs marketing"

If the product is built and nobody's using it, the problem usually isn't marketing. It's that the product doesn't solve a painful enough problem, or people can't find it through a natural channel.

"Competing on features with funded companies"

You will lose a feature war against a team of 50 engineers with $10M in the bank. Instead, compete by being more focused, faster to respond, or serving a niche they ignore. Boring industries with low tech penetration — think construction scheduling, veterinary billing, property management — offer higher margins and way less competition than the hot, crowded consumer spaces.

"The thin AI wrapper"

The system prompt test: if someone could get the same result by typing a clever prompt into ChatGPT, you don't have a product. Thin wrappers on AI are vulnerable — the AI company itself might build your feature natively. But products that add real workflow, accumulated data, or a community around the AI are defensible. The question isn't "does this use AI?" but "what value do you add on top of the AI?"

"The miniature version"

Building something "small" that's actually just a worse version of an existing product. Your first version should be different from what exists, not just smaller. Make someone love the one thing you do — don't make everyone shrug at the five things you do poorly.

The Weekend Test

If someone could rebuild this in a weekend with AI, what makes yours win?

This is the most important question in 2026. Anyone can build a demo in a weekend — but the gap between a demo and a product people trust with their money and data is massive.

Honest answers that work:

  • "The more people use it, the more valuable it gets. A copy starts empty."
  • "It learns from every interaction. A copy starts dumb."
  • "It's deeply woven into their daily work. Switching means starting over."
  • "People trust us. A copy has no reputation."
  • "It looks and feels great. People love using it, not just tolerating it."
  • "We'll be 10 versions ahead because we ship fast and listen to users."

Honest answers that don't work:

  • "Better design." (Subjective and copyable.)
  • "More features." (Features are the easiest thing to copy.)
  • "First mover advantage." (Barely exists in software.)
  • "Our code is better." (Users never see the code.)