01
Rebuild
Start with an idea or reference URL. Separate the useful product logic from the surface-level clone.
Positioning + assumptions
The next-client planning layer
Turn any SaaS idea into a priced, profitable MVP.
Rebuild the concept, compare B2B and B2C economics, scope the MVP, and hand your client a plan that is ready to build—not another folder of AI prose.
Formula-visible metricsB2B · B2C · hybridNo sign-up to model
Worked example
First-pass unit model
MRR
$32K
ARR
$384K
Gross margin
85.6%
Break-even
27 customers
MRR includes recurring subscription revenue only. Setup fees, tax, and free accounts stay out of the run rate.
Evidence
Assumptions carry source, confidence, and owner.
Economics
Every output expands into a formula and included costs.
Scope
Every feature has a reason, risk, effort, and target metric.
One canonical workflow
Four decisions between a raw idea and a confident build.
Blueprint keeps the work sequential, reviewable, and connected. Change one assumption and the downstream model tells you what moved.
02
Model
Compare B2B, B2C, and hybrid pricing with every cost driver and formula visible.
Price + margin model
03
Scope
Tie each MVP capability to effort, cost, risk, and the metric it should move.
Build-ready MVP
04
Handoff
Give a client one coherent brief they can review, approve, and send straight into a build.
Client decision pack
Traceable by design
One decision graph. No mystery numbers.
A price is not a guess in a card. It connects to buyer, volume, direct delivery cost, churn, acquisition cost, and the MVP capability expected to improve them.
Open the working model →Client project · FieldOps AI
Base scenario · last reviewed today
Assumption
$799 / month
Buyer interviews · medium confidence
Economics
85.6% margin
Includes AI, support, infra, fees
MVP scope
6 capabilities
34 build days · one high risk
Open decision
Outcome pricing or subscription?
Outcome downside turns negative if human review exceeds 18 minutes per account.
Scope effect
Remove live collaboration
Save 8 build days without changing the activation hypothesis.
Scope-to-economics
Every MVP feature has to earn its place.
Toggle a capability and see the build budget, timeline, risk, and expected metric impact change together. Keep the product small without making the model dishonest.
Source-backed idea intake
Expected metric · Activation
4 days
B2B/B2C scenario engine
Expected metric · Gross margin
7 days
Scope and effort board
Expected metric · Time to approval
6 days
Client review and handoff
Expected metric · Close rate
8 days
Agency / B2B
Plan many client products without losing the assumptions.
Start from the client brief, compare scenarios, agree the MVP, and keep a clean decision history behind every handoff.
Client workspacesWhite-label decision packScenario approval
Founder / B2C
Pressure-test one idea before paying to build it.
Turn a fuzzy product concept into a credible price, cost structure, break-even target, and a deliberately small first release.
Guided assumptionsPlain-language formulasBuild-ready export
Proposed launch pricing
Price for the decision value, not the token count.
These tiers are part of the working product model, not an active checkout. The model will be validated before billing ships.
Founder
For one founder validating the next product.
$39 / month
- —3 active product models
- —B2B/B2C scenarios
- —MVP scope and exports
Recommended
Studio
For a small team planning client products.
$129 / month
- —15 active client projects
- —Scenario comparison
- —Client review links
- —Branded handoffs
Agency
For a multi-client product operation.
$349 / month
- —50 client workspaces
- —Team roles and approvals
- —White-label client room
- —Audit history and API
FAQ
The questions behind the model.
Short answers now. Full methodology lives beside every metric inside the workspace.
Is this another AI business-plan generator?
No. Blueprint keeps a traceable chain from assumptions to price, cost, margin, MVP scope, and handoff. The model matters more than generated prose.
How are MRR and ARR calculated?
Monthly subscriptions count at face value, annual contracts are normalized over twelve months, and one-time setup revenue is excluded. Usage revenue is included only when you explicitly choose that methodology.
Does it work for both B2B and B2C?
Yes. Each mode starts with different price, volume, support, acquisition, and delivery-cost assumptions. Hybrid models can combine both motions in one scenario.
Does Blueprint build the product automatically?
This MVP creates a build-ready decision pack. Autonomous code generation and deployment are deliberately deferred until scope, economics, and approval are trustworthy.
Start with one decision