Discovery & Market Intelligence
Who has the problem, why it happens, what it costs them — and the evidence behind every claim.
AI business strategy & validation
Know if the idea is worth building before you build it
Describe your product idea in plain language. VIBELIN researches the market, builds the business case, and plans the go-to-market — analysing every layer against the one before it, and keeping all of it current as your business evolves.
For founders, product leaders, business analysts and go-to-market teams.
Hover or focus any node to trace what a change there would affect.
One platform for the business side of your product:
Market Discovery
Business Case & Strategy
Go-to-Market
Product Definition
Guided product development
Great products follow proven thinking
VIBELIN carries a team through the lifecycle with structured workflows, best practices and decision frameworks — whether it's a first startup or complex enterprise software.
Business Case & Strategy
A go/no-go recommendation backed by unit economics, a named set of risks, and a strategy that states what you are not doing as clearly as what you are.
Go-to-Market
The ideal customer profile, the message for each persona, the price and the reasoning behind it, and the metrics that will judge the launch.
Product Definition
An MVP scope, a sequenced roadmap and a north-star metric — each one traceable back to the business reason it exists.
Build
Build with any AI code agent, app builder, or your development team.
Copilot
Claude
Cursor
Replit
Base44
Dev Team
Impact tracker — change one thing, see everything it touches
Guided idea validation
One description in.
A validated business out.
Describe the idea once. VIBELIN leads you through a proven, step-by-step flow — researching, analysing and building each layer on the answers before it, so you never re-enter the same fact twice.
Prove the problem before you fall in love with the solution.
VIBELIN takes your idea and goes to work on the market behind it — sizing the opportunity, mapping everyone already solving it, and testing whether the problem you assumed is the problem people actually have.
Knowledge generated at this stage
- Market Research
- Competitive Analysis
- User Research
- User Personas
- Jobs to Be Done
- Problem Statement
- Feasibility Study
You leave this stage with a validated problem statement: who has the problem, why it happens, what it costs them — and the evidence behind every claim.
Turn evidence into a decision you can defend.
With discovery behind it, the platform builds the investment case: what the opportunity is worth, what it costs to chase, what could go wrong, and where the product is headed if you say yes.
Knowledge generated at this stage
- Business Case
- Financial Model
- Risk Register
- Product Vision
- Product Strategy
- Objectives & Key Results
You leave this stage with a go/no-go recommendation backed by unit economics, a named set of risks, and a strategy that states what you are not doing as clearly as what you are.
Plan the launch while the strategy is still fresh.
Positioning, pricing and channels are decided against the same research and financial model that justified the product — so the story you take to market matches the business you actually built.
Knowledge generated at this stage
- Positioning & Messaging
- Pricing Strategy
- Go-to-Market Plan
- Marketing Plan
- Sales Enablement
- Launch Plan
You leave this stage with a launch-ready plan: the ideal customer profile, the message for each persona, the price and the reasoning behind it, and the metrics that will judge the launch.
Hand engineering a scope that came from evidence.
Just enough product definition to start building: the smallest thing that tests the riskiest assumption, the order everything else comes in, and the numbers that will say whether it worked.
Knowledge generated at this stage
- MVP Definition
- Product Roadmap
- Metrics Framework
You leave this stage with an MVP scope, a sequenced roadmap and a north-star metric — each one traceable back to the business reason it exists.
At every step the assistant drafts, checks its own work against everything already known, flags gaps and contradictions, and waits for you to confirm before it moves on.
Why VIBELIN
Capabilities that usually need a much bigger team
The value isn't producing documents faster. It's giving a business team the research, analysis and discipline it would otherwise take a dozen specialists to sustain.
A company playbook every product follows
Built-in workflows define the path from idea to market: which steps come in what order, what must be known before the next decision, and what the company needs captured by the end. Every product runs the same proven process — not whichever one its owner improvises.
A specialist for every topic
Role-based AI assistants — each with its own tools, skills and domain workflows — research, draft and recommend within their area: market, strategy, positioning, roadmap. Expert-level output without hiring an expert per discipline.
An impact tracker across everything
Change one thing — a market number, a price, a segment — and the platform analyses what else it affects across the company's knowledge and recommends the updates. Strategy never goes stale in one place while looking current everywhere else.
Structured business knowledge
Competitors, industry segments, product features, personas and buyers are managed as first-class records — enriched from research and external sources, analysed, compared and linked to every decision that references them.
Always-on market awareness
Continuous tracking jobs watch industry shifts, competitor moves, market signals and development progress — surfacing what changed instead of waiting for someone to remember to check.
See it, don't just read it
Visual representations of market, strategy and roadmap knowledge make a dense picture easy to scan, review and put in front of a board, an investor or the team — without rebuilding it as a deck first.
Decisions made together
Team collaboration and shared decision-making keep founders, analysts, go-to-market and product working from the same knowledge — and the same reasoning behind each call.
Fits the toolchain you already have
Integrations import and share product knowledge with the tools your team already uses, and enrich it from external sources — so VIBELIN extends your stack instead of becoming another silo.
The knowledge source for your code agents
VIBELIN exposes its business knowledge to AI coding agents through tools and MCP, so they can pull the personas, requirements and decisions relevant to the task at hand — and build what the business actually intended, not just what the ticket said.
Impact tracker
Change one thing. See everything it touches.
Business knowledge isn't a pile of separate answers — pricing depends on unit economics, positioning depends on the competitive picture, the roadmap depends on both. VIBELIN knows those connections and keeps them honest.
- It knows why each decision was made, and on what evidence.
- It knows which claims depend on which piece of research.
- It knows what goes stale the moment an assumption changes.
- It recommends the fix rather than just flagging the problem.
A living picture of the business — instead of a set of answers that silently disagree.
Impact analysis
If we move to usage-based pricing…
- Financial model · unit economics Direct impact
- Business case · payback period Direct impact
- Positioning & messaging Review needed
- Sales enablement · objection handling Review needed
- Competitive analysis Context only
Every affected area, surfaced before you commit — with a recommended update for each.
Illustrative example of an impact analysis.
Structured knowledge
Competitors and personas as records — not paragraphs.
The entities that matter most to a product business are managed as structured records the whole company can work with, continuously enriched from research and external sources.
- Enriched automatically as new research and market signals arrive.
- Analysed and compared — feature overlap, pricing posture, segment fit.
- Linked to the positioning, pricing and roadmap decisions that cite them.
- Queryable — ask which personas a pricing change touches, and get an answer.
Ask a question of the knowledge, instead of searching for the document that might contain it.
Competitor
Northstar Analytics
Industry
Product analytics · mid-market
Pricing model
Seat-based, annual commit
Feature overlap
6 of our 14 planned capabilities
Wins against us on
Enterprise SSO, established brand
Referenced by
Positioning
Pricing Strategy
Battlecard
Business Case
Tracked continuously — pricing page change detected 2 days ago
Illustrative example of a managed entity record.
Beyond validation
One knowledge base, paying off across the company
Once market, strategy and product knowledge is structured and kept current in one place, it starts serving people who were never part of creating it.
Onboarding
A new hire gets the whole picture on day one — who the customers are, why the product is positioned this way, what was decided and why. No reconstructing context from people's memories.
Product enablement
Customer success, professional services, sales and partners all learn what changed from the same current source — not from a forwarded email thread three weeks late.
RFPs & customer requests
Proposals and questionnaires draw on knowledge that is already structured and current: differentiation, pricing rationale, capabilities. A scramble becomes an assembly.
Ground truth for code agents
AI coding assistants build what the business actually intends when they can read the validated business context — not just the ticket in front of them.
Who it's for
Built for everyone who shapes the business
Whether you're validating your first idea or running strategy for a product already in market, VIBELIN is the place that work lives.
Founders & entrepreneurs
Validate a raw idea into a defensible business case before committing engineering time.
Business analysts
Run structured market research, competitive analysis and feasibility studies that ground decisions in evidence.
Business development
Build the business case, financial model and risk register that justify a new initiative or partnership.
Product managers
Turn validated discovery into MVP scope, roadmap sequencing and success metrics ahead of a build.
Go-to-market strategists
Shape positioning, pricing, messaging and launch plans against the research that justified the product.
Early-stage teams & vibe coders
Get a professional-grade validation trail — and real business context for your AI tools — before opening an IDE.
Product leadership
Run it as the company's ongoing strategy system: market discovery, go-to-market execution, strategy and product, continuously tracked.
Marketing teams
Work from positioning and pricing that reflect the current market picture, with the proof points attached.
Customer-facing teams
Sales, customer success and professional services learn what changed from one current, shared source of truth.
Questions
Frequently asked
Do I need to have the idea fully thought through before I start?
No. A few sentences in plain language is enough to begin. VIBELIN captures that as your starting brief and asks for what it needs as it goes — the structure comes from the platform, not from you.
Is this just AI-generated documents?
No. The platform researches and analyses each domain in depth, extracts the entities that matter as structured records, and returns insights and recommendations on what to decide and why. The written artifacts are an output of that analysis, not the point of it.
What happens when something changes?
The impact tracker analyses what else that change affects across your business knowledge — which claims now rest on an outdated assumption, which decisions need revisiting — and recommends the updates. You see the ripple before you commit to the change.
Does it work for a product that's already in market?
Yes. Validation is the entry point, not the whole product. Many teams run VIBELIN as their ongoing company strategy system — continuously tracking market discovery, go-to-market execution, business strategy and product decisions for products already shipping.
Can the whole team work in it?
Yes. Collaboration and shared decision-making are built in, so founders, analysts, go-to-market and product work from the same knowledge — and can see the reasoning behind each decision, not just its outcome.
Does it replace the tools we already use?
No. Integrations import and share product knowledge with your existing tools and enrich it from external sources. VIBELIN becomes the connective layer across what you already have rather than another place to keep in sync by hand.
Stop guessing. Start validating.
Bring an idea — or a product already in market — and see what a business that knows itself actually looks like.
Market discovery · Business case & strategy · Go-to-market · Product definition