Market Pulse UI2.1 Prototype

Live app: https://market-pulse-ui21.vercel.app/

Market Pulse UI2.1 is a visual agentic workflow prototype for pressure-testing a business idea before building more product.

It turns a business website URL and one market question into a directional validation read with a visual signal map.

Instead of returning another wall of AI text, the prototype maps the read into a visual signal surface:

• Green: support signals
• Red: objections
• Gold: best wedge
• Purple: missing proof
• Blue: next validation move

Market Pulse helps founders, operators, product builders, and strategy teams ask a practical question before investing more time into an idea:

Do we have enough signal to justify building more?

The app starts with:

• a business website URL
• one market question
• an optional note

Then it produces a directional read that separates:

• what supports the idea
• what objections could break it
• what wedge is sharpest
• what proof is still missing
• what validation move should happen next

• Directional market validation: turns one business question into a structured read on support, skepticism, wedge, proof gaps, and next move.
• Visual signal map: makes the validation read easier to inspect through a Canvas-based market signal surface.
• Visible agentic workflow: frames the market question, maps signals/risks/wedge, and recommends the next move.
• Executive pulse: summarizes verdict, decision, confidence, best wedge, main objection, and next validation move.
• Validation plan: focuses on what to test before building more.
• Prototype mode: includes a Cursor sample case for demo flow and fallback output when an API key is not available.

As AI makes building faster and cheaper, judgment becomes the bottleneck.

The question is no longer only:

Can we build this?

It becomes:

Should we build more before validating the signal?

This prototype explores a more visible way to use agentic systems for early product and market judgment.

The goal is not to replace customer discovery or market research.

The goal is to create a faster first read before overbuilding.

• Usage-first AI: start with a real decision workflow, not a generic chatbot.
• Visible workflow: show the staged process behind the output.
• Visual comprehension: use the map as a decision surface, not decoration.
• Directional honesty: avoid pretending the app is a full crawler, survey, or statistical market study.
• Next-move orientation: end with a practical validation action.

• Next.js
• React
• TypeScript
• Tailwind CSS
• Canvas-based visual signal map
• Gemini 2.5 Flash Lite
• Vercel deployment

Install dependencies:

npm install

Create .env.local:

GEMINI_API_KEY=your_key_here

Run locally:

npm run dev

Open:

http://localhost:3000

npm run build

Prototype / portfolio build.

This project is designed as a public proof-of-work artifact for AI-native business applications, agentic workflows, visual decision interfaces, and operator-grade product strategy tools.

MIT License.