RecoverySoftNetz is a next-generation, AI-powered data recovery platform designed to work across ALL devices and operating systems. By combining the best features of market-leading solutions with groundbreaking innovations, we aim to establish a new standard in the data recovery industry.
To become the world's #1 data recovery solution by combining:
- Technical Excellence (AI, universal support, 1200+ file types)
- Innovation (blockchain recovery, quantum algorithms, forensics)
- User Experience (adaptive UI, real-time protection)
- Value (best features/price ratio)
This project is in bootstrap phase with infrastructure ready for Phase 1 implementation.
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Clone the repository:
git clone https://github.com/lekesiz/RSN.git cd RSN -
Setup development environment:
- See DEVELOPER_SETUP.md for detailed instructions (macOS, Linux, Windows)
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Understand the architecture:
- See docs/ARCHITECTURE.md for system design
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Start contributing:
- See CONTRIBUTING.md for contribution guidelines
Current Phase: ๐ง Bootstrap Infrastructure โ
- โ Repository structure (src/, tests/, docs/)
- โ GitHub Actions CI/CD pipeline
- โ Issue & PR templates
- โ Documentation (DEVELOPER_SETUP, CONTRIBUTING, CODE_OF_CONDUCT)
- โณ Phase 1: Core recovery engine implementation (starts Week 1)
- README-BOZ.md โ รquipe BOZ development plan & backlog
- boz-log.txt โ Execution journal & initialization notes
This repository contains comprehensive project documentation for RecoverySoftNetz:
๐ RecoverySoftNetz_Technical_Documentation_TR.md
Complete technical specification including:
- Competitive analysis (Disk Drill, R-Studio, EaseUS, Stellar, etc.)
- Technical architecture & algorithms
- AI/ML integration
- Recovery engines (metadata, file carving, RAID, SSD)
- Unique features (blockchain, quantum algorithms, forensics)
- Market strategy & pricing
- Financial projections
150+ pages | Turkish
๐ RecoverySoftNetz_Executive_Summary_EN.md
Executive overview for stakeholders:
- Market opportunity ($20.6B โ $31.2B)
- Competitive advantages
- Business model & pricing
- Financial projections (Year 1-3)
- Go-to-market strategy
- Risk analysis
- Success metrics
Quick reference | English
๐ RecoverySoftNetz_Implementation_Roadmap.md
Detailed 15-month development plan:
- Phase-by-phase breakdown
- Code examples & architecture
- Team structure (13 people)
- Budget breakdown (โฌ2M)
- Technical milestones
- Risk mitigation
Implementation guide | English
- โ Operating Systems: Windows, macOS, Linux, Unix, iOS, Android, HarmonyOS
- โ File Systems: 30+ (NTFS, APFS, ext4, Btrfs, ZFS, etc.)
- โ Storage Devices: HDD, SSD, NAS, RAID, mobile, cloud, tape
- ๐ค Machine learning pattern recognition (90%+ accuracy)
- ๐งฉ Intelligent fragment reassembly (40% better than competitors)
- ๐ฎ Predictive failure detection (7 days advance warning)
- ๐ง Neural network corruption repair
- ๐ Blockchain Recovery: Crypto wallet & seed phrase recovery
- โก Quantum Algorithms: 3x faster pattern matching
- ๐ฌ Forensic Tools: Court-admissible evidence
- ๐ก๏ธ Real-Time Protection: Prevent data loss before it happens
- ๐ฆ All RAID levels (0, 1, 4, 5, 6, 10, 50, 60, nested)
- ๐ Automatic configuration detection
- ๐ Virtual RAID reconstruction
- ๐พ Multi-disk failure recovery
- ๐ฟ TRIM-aware algorithms
- ๐ Wear leveling analysis
- ๐ฝ Spare block recovery
- ๐ฏ 65% success rate even with TRIM enabled
| Metric | Value |
|---|---|
| Global Market Size (2025) | $20.6 billion |
| Projected Growth (2033) | $31.2 billion |
| CAGR | 8.7% - 10.2% |
| Target Markets | Enterprise, SMB, Individual users, Data recovery professionals |
- โ No single solution works well across all platforms
- โ Limited or no AI/ML integration
- โ Poor mobile device recovery
- โ Weak cloud storage integration
- โ No blockchain/crypto recovery
- โ Insufficient predictive capabilities
โ RecoverySoftNetz addresses ALL these gaps
| Feature | RecoverySoftNetz | Disk Drill | R-Studio | EaseUS |
|---|---|---|---|---|
| Supported File Types | 1200+ | 400+ | 500+ | 300+ |
| Recovery Rate | 95%+ | 91-96% | 93-97% | 88-95% |
| AI Integration | โ Advanced | โ | โ | โ |
| Blockchain Recovery | โ | โ | โ | โ |
| All Platforms | โ | Partial | โ | Partial |
| Price (Personal) | โฌ69.99 | $89 | $79.99 | $69.95 |
| Mobile Recovery | โ Native | โ | โ | โ |
| Phase | Status | Timeline |
|---|---|---|
| Phase 1: Foundation | ๐ Planned | Months 1-4 |
| Phase 2: Expansion | ๐ Planned | Months 5-8 |
| Phase 3: AI Integration | ๐ Planned | Months 9-12 |
| Phase 4: Launch | ๐ Planned | Months 13-15 |
- โ Complete comprehensive documentation
- โณ Patent filing (AI algorithms, unique features)
- โณ Form core development team (13 people)
- โณ Secure funding (โฌ2M)
- โณ Begin Phase 1 development
| Year | Revenue | Customers | Market Share |
|---|---|---|---|
| Year 1 | โฌ1.2M | 12,000 | 2% |
| Year 2 | โฌ3.5M | 35,000 | 5% |
| Year 3 | โฌ8.2M | 82,000 | 10% |
Expected ROI:
- Break-even: Month 18
- 3x return: Year 3
- 10x return: Year 5
Core Engine:
- C++ (performance-critical components)
- Qt 6.x (cross-platform GUI)
- Python (AI/ML components)
- TensorFlow/PyTorch (ML models)
Key Algorithms:
- Metadata-based recovery
- File carving (signature-based)
- AI-powered smart recovery
- RAID reconstruction
- SSD-specific optimizations
Security:
- End-to-end encryption
- Zero-trust architecture
- No telemetry (privacy mode)
- GDPR compliant
Netz Informatique
- Location: Haguenau, France
- Industry: IT Services & Data Recovery
- Focus: Innovation in data recovery technology
- Engineering: 8 developers (C++, Qt, DevOps, Security)
- AI/ML: 2 specialists (ML Engineer, Data Scientist)
- QA: 2 engineers
- Management: 1 Project Manager
Total: 13 core team members
Netz Informatique
Haguenau, France
- ๐ Website: https://netz-informatique.fr
- ๐ง Email: contact@netz-informatique.fr
- ๐ฑ Project: https://github.com/lekesiz/RSN
Proprietary License
ยฉ 2025 Netz Informatique. All Rights Reserved.
This documentation is confidential and proprietary. Unauthorized copying, distribution, or use is strictly prohibited.
- 1200+ file types supported (most in industry)
- 95%+ recovery success rate
- 2x faster scanning than competitors
- 30+ file systems supported
- 6+ platforms (Windows, Mac, Linux, iOS, Android, Unix)
- 65% SSD recovery even with TRIM (competitors: 40-55%)
- โฌ69.99 personal license (lifetime)
- 15 months to market
- โฌ2M initial investment
- 10x ROI by Year 5
- Core recovery engine
- File system parsers
- Basic UI
- Windows support
- macOS & Linux support
- RAID recovery
- Mobile recovery
- Advanced features
- ML model development
- AI-powered features
- Performance optimization
- Beta testing
- Bug fixes & polish
- Documentation completion
- Marketing materials
- Official launch
This repository contains planning and documentation materials for RecoverySoftNetz. The product is currently in the planning phase. All information is subject to change based on technical feasibility, market conditions, and business decisions.
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Technical Superiority
- Best-in-class algorithms
- AI-first approach
- Universal platform support
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Innovation Leadership
- Industry-first features (blockchain, quantum algorithms)
- Continuous R&D investment
- Patent portfolio
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Customer Focus
- Intuitive interface (beginner to expert)
- World-class support
- Privacy-first philosophy
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Business Model
- Competitive pricing
- Flexible licensing
- Multiple revenue streams
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Execution Capability
- Experienced team
- Clear roadmap
- Realistic timeline
The data recovery market is ready for disruption. RecoverySoftNetz is that disruption.
Documentation โข Features โข Contact
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