mirror of
https://github.com/SamyRai/turash.git
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Repository Structure:
- Move files from cluttered root directory into organized structure
- Create archive/ for archived data and scraper results
- Create bugulma/ for the complete application (frontend + backend)
- Create data/ for sample datasets and reference materials
- Create docs/ for comprehensive documentation structure
- Create scripts/ for utility scripts and API tools
Backend Implementation:
- Implement 3 missing backend endpoints identified in gap analysis:
* GET /api/v1/organizations/{id}/matching/direct - Direct symbiosis matches
* GET /api/v1/users/me/organizations - User organizations
* POST /api/v1/proposals/{id}/status - Update proposal status
- Add complete proposal domain model, repository, and service layers
- Create database migration for proposals table
- Fix CLI server command registration issue
API Documentation:
- Add comprehensive proposals.md API documentation
- Update README.md with Users and Proposals API sections
- Document all request/response formats, error codes, and business rules
Code Quality:
- Follow existing Go backend architecture patterns
- Add proper error handling and validation
- Match frontend expected response schemas
- Maintain clean separation of concerns (handler -> service -> repository)
82 lines
4.5 KiB
Markdown
82 lines
4.5 KiB
Markdown
# Turash: Complete Platform Specification
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## Executive Summary
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**Turash** is a B2B SaaS platform that digitizes industrial symbiosis by connecting businesses' waste streams with neighboring demand, unlocking €50B+ annual savings across European industrial ecosystems.
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### The Problem
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European industries waste €500B annually on virgin resource procurement and waste disposal while emitting 1.2B tons of CO₂. Industrial symbiosis (IS) could reduce this by 20-50%, but fragmented analog processes and information asymmetry prevent adoption. Existing platforms are either too academic or too narrow to drive meaningful change.
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### The Solution
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A resource-matching engine that:
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- **Digitizes Resource Flows**: Captures heat, water, waste, and by-products with precision levels from rough estimates to verified measurements
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- **Optimizes Multi-Party Exchanges**: Uses graph algorithms to find economically viable matches within spatial and temporal constraints
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- **Drives Adoption**: Starts with "cheap-to-act" resources (waste pickup, shared services) and builds trust through tangible ROI
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- **Scales Network Effects**: Creates local industrial ecosystems where businesses trade resources like a marketplace
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### Market Opportunity
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- **TAM**: €500B European industrial resource flows
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- **SAM**: €50B addressable through digital IS platforms
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- **SOM**: €2B first-mover advantage in heat/waste matching (€500M by year 3)
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*For detailed market analysis, see [01_market_analysis.md](01_market_analysis.md)*
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### Business Model
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- **Freemium**: See + Match for free (network effects driver)
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- **Subscription**: €50-500/facility/month based on engagement
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- **Transactions**: 10-20% commission on facilitated exchanges
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- **Municipal**: License fees for city dashboards (€50k-200k/year)
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*For complete monetization strategy, see [monetisation/](./monetisation/) folder*
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### Competitive Advantage
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- **Data-First**: Privacy tiers with device-signed validation
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- **Multi-Modal**: Resources + services + products in one platform
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- **Local Focus**: Geographic clustering drives higher match rates
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- **Utility Partnerships**: Leverage existing data and relationships
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- **Real-World Data Handling**: Proven capability with messy industrial data (CSVs, SCADA exports, municipal Excel, ERP feeds)
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*For competitive analysis, see [02_competitive_analysis.md](02_competitive_analysis.md)*
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### Exit Strategy
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- **Primary**: Acquisition by industrial automation players (Siemens, Schneider, ABB) seeking circular economy capabilities
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- **Secondary**: Smart-city platforms or utility software companies
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- **Positioning**: Proven B2B SaaS with €2M+ ARR, EU market leadership in industrial symbiosis
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### Go-to-Market Strategy
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- **Primary Flywheel**: SME-bottom-up - Build density through individual businesses → parks → cities buy established ecosystems
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- **Secondary**: City-top-down - Municipal pilots seed platforms, then transition to business-paid model
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- **Policy-Resilient Entry Points**: Multiple pathways to avoid single policy dependency
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*For detailed GTM strategy, see [monetisation/go-to-market.md](./monetisation/go-to-market.md)*
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### Technical Foundation
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- **Graph Database**: Neo4j for complex relationship traversals
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- **Go 1.25 Backend**: Performance-optimized for real-time matching
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- **Event-Driven**: WebSocket notifications for live market updates
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- **Privacy-First**: Public/network-only/private data visibility tiers
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- **Data Integration**: ETL pipelines for industrial data sources (SCADA, ERP, Excel, CSV, IoT sensors, utility APIs)
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*For technical architecture, see [08_platform_architecture_features.md](08_platform_architecture_features.md) and [12_go_125_stack_backend_architecture.md](12_go_125_stack_backend_architecture.md)*
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### Key Metrics (Year 1 Goals)
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- **Platform**: 500 businesses, 50 cities, €2M ARR
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- **Impact**: 500 GWh waste heat matched, €50M savings, 100k tons CO₂ avoided
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- **Product**: 85% data completion rate, 60% match conversion, <2s response times
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*For detailed roadmap and metrics, see [28_project_roadmap.md](28_project_roadmap.md)*
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### Team & Timeline
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- **MVP**: 3 months (heat matching, manual entry, 1 industrial park)
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- **v1.0**: 6 months (multi-resource, automated ingestion, 10 cities)
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- **Scale**: 12 months (enterprise features, international expansion)
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- **Team**: 8 engineers, 2 domain experts, 1 BD/sales
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### Funding Ask
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Seeking €2.5M seed funding for 18-month runway to product-market fit and first revenue.
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---
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This document provides the complete technical specification, combining core concepts, architecture decisions, implementation details, and go-to-market strategy.
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