Know what you can spend right now with a simple visual spending pace
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Startup
Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Free: $0/forever with blueprint foundation and all free calculation tools. Premium Monthly: $9.99/month with complete blueprint and daily, weekly and monthly insights. Premium Yearly: $69.99/year (equivalent to $5.83 per month). One-time readings: Love Reading $9.99, Year Ahead Reading $14.99.
Free: up to 3 trains, default train theme, transaction history, 30D/90D/1Y reports, core widget, Apple Shortcuts. Pro: $9.99/year or $29.99 lifetime for unlimited trains, train sharing, additional visual themes, custom train-level thresholds, full widget configuration, CSV export. Localized pricing
Key features
Birth chart calculation with transparent astronomical placements
Private cosmic profile tracking sun, moon and rising signs
Daily, weekly and monthly insight cycles
AI-guided journaling with context-based memory
Permission-based long-term memory with edit and delete controls
Reflective AI responses and practical next steps
Live spending balance that updates continuously as time passes and purchases are made
Multiple spending trains for different expense categories
Visual train metaphor showing ahead or behind status
Home Screen widget for quick balance checking
Transaction history and spending reports
Shared trains for household spending management
iCloud sync for seamless data synchronization
CSV export for data analysis
Custom visual themes
What makes it different
Transparent separation of astronomical calculation from AI interpretation
Permission-based memory that is off by default
Reflection-focused guidance without fear-based predictions
Free tools available without account creation
Answers the immediate question of what you can spend right now instead of providing only a monthly total
Progress carries forward across months instead of resetting at month-end
Simple interface with one live number instead of complex spreadsheets or multiple categories
Free version available with core features to test the method before upgrading