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What business should you start?

Find a realistic match built around who you are, what you can do, what you have access to, and how you want to work.

Find my businessHow matching works
Free first matchAbout 7 minutesNo account required
Food delivery, pet care, and bookkeeping business routes converging on a personalized starting point

Start with your goal

What do you want this business to do for you?

Choose the outcome that matters most right now. You can change it later.

Your match might have a shopfront. Or a toolkit. Or neither.

The library gives local, physical, service, and digital businesses equal standing. The useful answer is the one you can realistically start—not the one getting the most attention online.

Feasibility beats fashion.

A potted plant in front of an office building, representing commercial plant care
Commercial plant careLocal service
A bicycle and wrench, representing a mobile bicycle repair service
Mobile bike repairHands-on service
A tutor teaching at a chalkboard
Specialist tutoringPeople-first
A clear three-stage workflow, representing an operations systems service
Operations systemsB2B service
A laptop with reusable files and a packaged digital resource
Industry workflow kitsDigital product

Examples show the breadth of the opportunity library, not preselected recommendations.

See what shapes your shortlist

A useful answer starts with your real life.

Most idea generators rank businesses in isolation. We begin with the person who would actually have to build one.

Constraints create direction.

Budget, time, geography, physical demands, selling, and regulation remove unrealistic options before ranking begins.

Interests and activities

What draws you in

Continuous RIASEC interest scores reveal combinations of activities—not a single personality type.

Skills and experience

What you have actually done

Work performed, industry experience, recency, confidence, training, and evidence of use.

Resources and access

What you can deploy

Time, budget, tools, transport, space, credentials, audiences, and useful relationships.

Feasibility filters

What must stay true

Hard limits around risk, selling, travel, physical work, regulation, and time to revenue.

Good matching removes before it recommends.

The core model stays structured and inspectable. AI may help explain a result later; it does not invent the underlying recommendation.

  1. 01

    Build the profile

    Capture interests, demonstrated experience, access, goals, work preferences, and non-negotiable limits.

  2. 02

    Filter before ranking

    Remove opportunities that conflict with budget, time, geography, physical demands, or regulatory tolerance.

  3. 03

    Rank and diversify

    Score the feasible set, then return a best overall match, a faster route to revenue, and a higher-upside alternative.

A direction you can inspect—not a black-box answer.

Every result explains what you would sell, who would buy it, the advantages you can use, what is missing, and why it may not suit you.

Example · Best overall match

Strong supporting evidence

Operations systems service

B2B service

Help small teams document, simplify, and install better workflows around work that currently depends on memory or manual follow-up.

STARTUP CAPITAL
Under €500
FIRST REVENUE
2–6 weeks
WEEKLY TIME
6–12 hours

How your evidence supports this match

Four parts of your profile are considered separately so you can see where the fit is strong and where it is less certain.

Interests and activitiesStrong

Structured improvement and diagnostic work both score highly.

Skills and experienceStrong

Operations and client communication transfer directly.

Resources and accessGood

The first version needs little capital or equipment.

Ways of workingGood

Project-based B2B work matches the stated preferences.

Evidence strength describes profile fit. It is not a probability of business success.

What is already working in your favor

  • Uses existing operations and customer-facing experience.
  • Can start with a reliable computer and professional relationships.
  • Aligns with an interest in organization and practical problem-solving.

What you would need to solve first

  • A narrow operational problem to solve.
  • Access to three prospective buyers.
  • Comfort documenting how work happens today.

Why it might not suit you

The first customers usually come from direct conversations. Early delivery is hands-on rather than passive.

Your credible starting line

Start with the smallest version

Audit one repeated workflow for one small team and deliver a process map plus a two-week improvement plan.

Your match will use your own answers. This example demonstrates the level of explanation, not a guaranteed outcome.

See my own match

O*NET Mini Interest Profiler

Validated interest layer · continuous scores

R
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A
S
E
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Illustrative profile only. Leading combinations are retained; nobody is reduced to one type.

SKILLS

Work you have done

ACCESS

What you can deploy

LIMITS

What must stay true

Transparent by design

Evidence-informed, not destiny dressed as science.

The O*NET Mini Interest Profiler provides the validated interest layer. Skills, access, goals, preferences, and hard constraints add real-world feasibility. The exact matching weights are hypotheses that must improve through observed behavior.

No success probabilities. Match language describes profile fit and trade-offs, never a promise that a business will succeed.

Provisional matching weights

Visible product assumptions, not validated facts.

Interests and activities30%
Skills and experience25%
Resources and access20%
Goals and values10%
Operating preferences10%
Work style5%
Read the O*NET source

Questions before you begin?

The honest answer is part of the product. Here is what the assessment can—and cannot—tell you.

Is this a personality test?

No. Interests are one part of the profile. Demonstrated skills, experience, time, money, access, work preferences, and non-negotiable constraints carry more practical weight than a personality label.

Is the matching scientifically proven?

The interest layer uses a validated O*NET instrument and other inputs are grounded in established career and entrepreneurship research. The complete business-matching model is an explicit, testable hypothesis—not a scientifically proven predictor of success.

Will every recommendation be an online business?

No. The opportunity library includes local, physical, hybrid, service, product, education, commerce, brokerage, and operational businesses. Feasibility matters more than trendiness.

Do I need an account?

No account is required before your first result. Your progress is saved locally in your browser while you complete the assessment.

What happens to my answers?

Your answers are used to improve your recommendations. The MVP stores progress locally and does not ask for sensitive traits that are unnecessary for matching.

Your constraints are not a disadvantage. They are direction.

Answer practical questions, remove unrealistic options, and leave with three businesses worth exploring.

Find my business
Three distinct opportunity routes forming one personalized shortlist

THREE DIFFERENT ROUTES

One shortlist built around you.