Traction
What we've built and how fast we ship
Traction
We spent 2+ years building the foundation before monetizing. Here's what that investment produced.
The Build
| Metric | Value |
|---|---|
| Production code | 500,000+ lines of TypeScript |
| NX libraries | 238+ production-ready |
| Applications | 12 (web, desktop, mobile, VS Code, Chrome, 2 backends) |
| Pre-built components | 200+ |
| Platform templates | 50+ |
| Security tests | 375+ (85-capability matrix) |
| Development | 2+ years, 237+ tracked engineering sessions |
AI Intelligence — Live System Data
From our production MCP Intelligence Server:
| Metric | Value |
|---|---|
| Validated outcomes | 105 tracked (75.2% success, 17.1% partial, 7.6% failure) |
| Trained AI agents | 5 specialized: Angular (17 decisions), Backend (8), Architecture (5), Testing, Storage |
| Anti-pattern rules | 6 active (detecting known failure modes in real time) |
| Vector search | Semantic recall across all past decisions |
| Agent platforms | Cursor, Claude Desktop, Claude Code, VS Code, Web |
This is not projected — it's from the running system.
Every Major System Is Live
| System | Status |
|---|---|
| Vitto AI Agent (multi-model, metacognition, proactive) | Deployed |
| Studio Generation Pipeline (7-phase, live preview) | Deployed |
| Multi-Universe Architecture (DB-level isolation) | Deployed |
| Full-Stack Module Generation (Angular 20 + NestJS, < 3 min) | Deployed |
| Computer Use (Firecracker microVM fleet, VNC) | Deployed |
| MCP Intelligence Server (80+ tools, 12 categories) | Deployed |
| Memory System v2 (4-scope, vector search, dossier) | Deployed |
| 85-Capability Security Matrix (3-tier override) | Deployed |
| 7-Channel Omnichannel (WhatsApp, Slack, Discord, Telegram, Web, VS Code, Desktop) | Deployed |
| Theme Engine (12 archetypes, WCAG AAA, dark mode) | Deployed |
| Deployment Pipeline (GitLab to Cloudflare, GitHub to Railway) | Deployed |
| WhatsApp Business API (Meta verified) | Active |
Shipping Velocity
Recent engineering sessions — each represents meaningful shipped production work:
| Session | What Shipped |
|---|---|
| S295 | Landing overhaul + vault account system |
| S292-293 | Complete RBAC: 85 capabilities, 375 tests, 58 endpoint decorators |
| S291 | Vitto Desktop v2: Tauri, multi-window, 4-layer ambient AI |
| S290 | Vault architecture, OAuth proxy system, VSCode production fixes |
| S258 | Chat Plugin Core: 29 files, 17 plugins, framework-agnostic |
| S252 | Studio: SSE forwarding, git provider, live preview with real data |
| S248 | Library absorption: 21 commits, real Angular code gen (no stubs) |
| S239 | Memory v2: 4-scope hierarchy, 5 vector search indexes, 70 E2E tests |
| S224 | Studio Live Engine: ESM SDK in 0.4s, in-browser rspack, service worker |
Pace: 3+ major features per month. Sustained across 237+ sessions.
Infrastructure Deployed
| Component | Provider | Status |
|---|---|---|
| Sandbox orchestration | Hetzner AX42-U (bare metal) | Active |
| Customer workloads | Hetzner AX102-U (bare metal) | Active |
| Backend APIs | Railway (containers) | Active |
| Frontend + user platforms | Cloudflare (300+ edge PoPs) | Active |
| Databases | MongoDB Atlas (multi-region) | Active |
| User platform CI/CD | GitLab | Active |
| WhatsApp Business | Meta (verified) | Active |
| Landing + waitlist | gograb.space | Live |
| Documentation | docs.gograb.space | Live |
Design Partner Phase
GoGrab Space is in early access. Validating:
- Time-to-first-platform (target: < 1 hour from signup)
- Generation quality (target: production-deployable without manual edits)
- Retention (target: weekly active usage after first platform)
- Expansion (target: 50%+ create second universe within 30 days)
Public launch in Q2 2026.