# How to Vibe Code Your Own Coda (and Stop Paying for It) > Your all-in-one collaborative workspace - Site: https://coda.io - Category: SaaS / Collaborative Workspace - Verdict: **Don't bother** (15/100 vibecodeable) - Estimated effort: 6+ months of full-time work ## Verdict Building a personal clone of Coda is an immense undertaking; you should keep paying for it unless you are building a simplified single-user markdown wiki with basic tables for educational purposes. Coda is a deeply engineered hybrid of a word processor, a relational database engine, a reactive formula spreadsheet, and a multiplayer collaboration server. An AI coding agent will easily scaffold a standard Next.js CRUD app with Postgres, but it will inevitably choke and break down when tasked with writing a custom CRDT sync engine, a dependency-resolving spreadsheet formula evaluator, and a virtualized multi-view database canvas from scratch. The sheer breadth of interlocking subsystems makes this a classic trap for solo vibecoders. ### What you can't replicate - The massive library of 600+ pre-built third-party Packs and enterprise integrations - SOC 2 Type 2 compliance, SAML SSO, and rigid enterprise security controls - The seamless multi-user multiplayer CRDT performance at scale ## What it does An all-in-one collaborative workspace that merges docs, spreadsheets, custom apps, and AI assistance into a single unified canvas. ### Core features - Rich-text document canvas with nested pages and block types - Relational table and database engine with multi-view support (grid, kanban, calendar) - Spreadsheet formula parser and cell dependency execution graph - Real-time multi-user collaboration using CRDTs - Automated workflows and action buttons - AI assistant integration for document generation and table column enrichment - Third-party API connectors ('Packs') with OAuth and two-way sync ## The business ### Pricing - Free: $0 - Pro: $12/mo - Business: $33/mo - Enterprise: Custom ### Funding $240M raised. - Series A - Series B - Series C - Series D Investors: Greylock Partners, Kleiner Perkins, General Catalyst, Sequoia Capital Founded 2014. Team size: 200-300+. ## The hard parts - Building a performant spreadsheet formula parser that calculates dependency trees and handles cross-table references without layout thrashing - Implementing low-latency real-time multi-user editing over a compound rich-text and tabular canvas via CRDTs - Designing a sandboxed execution environment for custom third-party integrations and automations - Client-side virtualization and memory optimization for massive tabular datasets inside docs ## How to vibe code Coda ### Prerequisites - Node.js (free): Required runtime for the local TypeScript development stack - GitHub (free): Source code control and repository hosting ### Recommended AI tools - Claude Code: Best-in-class multi-file agentic coding tool for scaffolding complex architecture and working through intricate backend logic ### Stack - Frontend: Next.js with Tailwind CSS and TipTap rich text canvas - Backend: Next.js Server Actions and API routes - Database: Supabase Postgres for relational data models and realtime subscriptions - Auth: better-auth for self-hosted TypeScript authentication - Payments: Stripe - Other: Liveblocks for collaborative presence and CRDT document state, Anthropic API for AI-powered text generation and table column assistance ### Hosting - Vercel (Hosting the Next.js frontend and serverless API endpoints): $0-20/mo - Supabase (Managed Postgres database and row-level security): $0-25/mo ### Build guide 1. **Project Scaffolding and Database Schema** — Initialize the Next.js application, configure Tailwind CSS, set up better-auth, and define the core Supabase PostgreSQL schema for users, docs, pages, and relational tables. ``` Create a new Next.js project using App Router, TypeScript, and Tailwind CSS. Integrate better-auth with email/password authentication backed by a Supabase PostgreSQL database. Configure Drizzle ORM or Supabase client helpers to manage database connections. Define the core database schema tables: 'users', 'workspaces', 'docs', 'pages' (supporting hierarchical tree nesting with parent_id), and 'tables' with dynamic JSONB column definitions to store custom spreadsheet records. Ensure all foreign key relationships have cascading deletes and proper indexing. Output clean, modular code with strict TypeScript types. ``` 2. **Hierarchical Document Sidebar and Rich-Text Canvas** — Build the sidebar navigation tree for nested pages and integrate a rich-text block editor canvas. ``` Build a collapsible hierarchical sidebar component in Next.js that renders nested doc pages fetched from the database, allowing users to create, rename, reorder, and delete pages. In the main content area, integrate a TipTap-based rich text editor supporting headings, callout boxes, lists, and inline slash commands. Implement autosaving with a debounced API mutation to persist page content as JSON to the Supabase database. Include loading states and error handling for network interruptions. ``` 3. **Relational Table Engine and Multi-View Layouts** — Implement spreadsheet-style relational tables with multiple view switchers (grid, board, calendar). ``` Implement a relational database table component within the document view. Allow users to add columns of various types (text, number, select, date, relation to other tables). Create a view switcher that toggles the data presentation between a spreadsheet grid (using a virtualized table library like TanStack Table), a Kanban board grouped by select fields, and a basic calendar view. Ensure edits made in one view instantly update the underlying database records and reflect across other active views of the same table. ``` 4. **Spreadsheet Formula Parser and Evaluation Engine** — Develop a lightweight expression evaluator for spreadsheet formulas operating on table cells. ``` Write a formula parsing and evaluation engine in TypeScript that supports basic spreadsheet functions (SUM, AVERAGE, COUNT, IF, CONCAT) operating on table column data. Build a dependency graph resolver to execute dependent formulas automatically when cell values change. Expose an input interface in table cells where typing '=' triggers formula suggestions and live evaluation, displaying calculated results with clear error messaging for syntax or circular reference failures. ``` 5. **Real-time Multiplayer Collaboration via Liveblocks** — Add multi-user presence indicators and live cursor tracking to docs and tables. ``` Integrate Liveblocks into the Next.js application to enable multiplayer real-time collaboration. Add active user avatars in the top header, live cursor tracking with user names inside the rich-text editor and database tables, and conflict-free replicated data synchronization for document blocks. Ensure connection state changes (connecting, connected, disconnected) are gracefully displayed in the UI without interrupting user workflow. ``` 6. **AI Assistant Integration** — Connect the Anthropic API to provide document generation, summarization, and table column enrichment. ``` Implement an AI assistant feature leveraging the Anthropic API. Add an inline AI command menu in the rich-text editor to prompt for content generation, text summarization, and tone rewriting. Furthermore, add an 'AI Column' feature to relational tables that automatically evaluates row data against a custom prompt template, batch-processing records and populating results back into the table cells with streaming responses. ``` ### Cost vs paying **Starting costs (one-time):** - Custom domain (optional): $12/yr - AI coding credits: $20 - Total: ~$32 one-time **Ongoing costs (monthly):** - Vercel Hobby/Pro & Supabase Pro: $25-45/mo - Total: ~$35/mo - Paying for the SaaS instead: $12-33/mo per Doc Maker - Build time: 160-200 hours - AI tool credits: $20 (Claude Pro) - Break-even: Never (strictly an educational/learning project) ## Sources - [Superhuman Docs Pricing & Plans](https://coda.io/pricing) - [Coda What's New Log](https://coda.io/whats-new) - [GetLatka - Coda Revenue and Funding Profile](https://getlatka.com)