QuantoRenderia.com

🌞 Elevator Pitch

QuantoRenderia.com is an intelligent solar calculator that lets anyone — from homeowners to solar companies — visually design solar installations, estimate savings, and generate a full project proposal in minutes using geolocation, satellite data, and panel databases.


🧠 Problem

Adopting solar energy is complex. People and companies struggle to know:

  • If a roof is viable
  • How many panels can fit
  • The accurate ROI and energy yield
  • The full cost of equipment and installation
    Meanwhile, solar companies spend hours creating custom proposals manually, delaying sales and increasing overhead.

🚀 Solution

QuantoRenderia.com transforms the solar quoting process with automation and intelligence:

  • 🌍 Automatic geolocation (Google Maps API)
  • 🏠 Draw multiple roof sections directly on the satellite view
  • 📐 Real-time surface measurement (m²)
  • ⚙️ Simulate different panel models from a dynamic Supabase database
  • 🔋 Live fit calculation: number of panels, weight, space used/left
  • 💡 Get detailed generation projections: monthly, annual, 25-year
  • 💰 Full budget preview: material, installation, taxes, depreciation
  • 📄 Instant PDF proposal with roof layout, components, costs, and charts
  • 🧮 Advanced controls: sunlight hours, AC/DC conversion, panel loss, etc.
  • ☀️ Powered by Google Solar API for precision irradiance data

🔥 Why It Matters

For Homeowners & Businesses:

  • Empowers decision-making with clear, visual data
  • Removes friction and confusion around solar investment
  • Allows fully customized simulations without technical knowledge

For Solar Companies:

  • Automates manual quoting work
  • Saves hours per project
  • Boosts sales with polished PDF proposals
  • Enhances professionalism and customer trust

💡 Technology Stack

  • Frontend: React + TypeScript
  • Mapping: Google Maps API + Solar API
  • Database: Supabase (Real-time panel models, metadata, pricing)
  • Backend: Node.js (Calculations, PDF generation)
  • Hosting: Vercel / AWS
  • Coming Soon: LLM-powered assistant to auto-configure ideal setup

💰 Business Model

  • 🏠 Freemium for homeowners (limit simulations, upgrade for PDF export)
  • 🏢 B2B SaaS for solar companies:
    • White-label estimator tool
    • Branded PDF generation
    • CRM and lead tracking
  • 🔗 Affiliate revenue from equipment partners and installers
  • 🧩 Future API plans for integration with real estate, energy, and gov platforms

📈 Traction & Milestones

  • 🔧 MVP 80% ready with live geolocation, drawing tools, simulation engine
  • 📦 Supabase-powered panel catalog fully integrated
  • 🧪 Usability tests with solar professionals underway
  • 📄 PDF proposal engine in development
  • 🌎 Launching first in Brazil, then LATAM and global

🏁 The Ask

We are currently seeking:

  • 💰 Investment to scale infrastructure and finalize PDF automation
  • 🔗 Strategic partnerships with solar providers and equipment suppliers
  • 🚀 Support to scale B2B acquisition and go-to-market

🌍 Our Vision

To become the standard quoting platform for solar projects on Brazil — empowering people and companies to design, simulate, and install solar energy faster and smarter than ever.

☀️ Draw your roof. Simulate your system. Print your future.


💡 Inspiration

The inspiration behind QuantoRenderia.com came from the overly complex and manual process of getting a solar energy quote.

In traditional workflows, solar salespeople had to physically visit the property, use a drone to take aerial photos, bring the images back to the office, upload them into design software, manually draw the roof layout, run calculations, and finally generate a PDF proposal. This process could take days, involved multiple tools, and required technical expertise — all before the customer even saw an estimate.

We believed this could be done faster, smarter, and entirely online — allowing both end-users and solar companies to simulate projects with just a few clicks, using real-time geolocation and satellite data.

QuantoRenderia.com was built to eliminate friction, save time, and make clean energy adoption more accessible and scalable.


⚙️ What It Does

  • Detects your location automatically via Google Maps
  • Allows you to draw and label multiple roof sections
  • Calculates usable area and panel fitting in real time
  • Suggests available solar panel models with specs
  • Estimates production, costs, payback, and ROI
  • Generates a printable, professional PDF proposal

🏗️ How We Built It

  • Google Maps and Solar APIs for location, drawing, and irradiance data
  • Supabase for real-time panel database and user data
  • React for the frontend interface
  • Node.js backend for some calculations and futures integrations with CRM
  • Modular architecture for fast feature iteration

🧱 Challenges We Ran Into

  • Calculating panel fitting while accounting for multiple roof sections and gaps
  • Rendering accurate measurements from freehand-drawn shapes
  • Integrating Google Solar API with custom area mappings
  • Building a flexible system that works for both end-users and B2B clients

🏆 Accomplishments That We're Proud Of

  • Drawing tool with real-time m² calculation and section management
  • Dynamic database of solar panels with specs and filters
  • Accurate cost and ROI simulation using real solar data
  • Smooth UX for both consumers and professionals
  • PDF proposal generator (in progress) that reflects real design + budget

🎓 What We Learned

  • Accurate geospatial UX is challenging but game-changing
  • Solar energy ROI depends on many variables that users must control
  • Combining simplicity and technical depth creates real product value
  • Solar professionals want tools that reduce their quoting workload

🔮 What's Next for QuantoRenderia.com

  • Launch in Brazil and expand to LATAM markets
  • Finalize and release branded PDF export
  • Build user accounts, CRM features integrations and proposal history
  • Add LLM-powered agent to recommend best setups for each case and rooftop type
  • Monetize via SaaS plans for b2b, affiliate integrations and selling leads to companies

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