How to vibe codeStackby
The spreadsheet that thinks like a database
stackby.com ↗No-code & Database SaaS
The verdict: can you vibe code Stackby?
Build a personal subset with Next.js and Postgres, or keep paying because replicating the blazing-fast virtualized grid engine and real-time collaboration layer requires months of intense work.
Cloning Stackby's end-to-end functionality as a solo developer is a serious multi-month engineering undertaking. While an AI coding agent can scaffold CRUD routes, basic React tables, and simple forms quickly, it will completely bog down when implementing a high-performance virtualized grid with 30+ custom column types, live relational lookups, asynchronous background automations, and CRDT-backed real-time multi-user editing. You can easily build a functional single-user personal database workspace in a few weekends, but replicating the buttery-smooth spreadsheet performance and enterprise view permissions of the real product is an entirely different beast.
Estimated effort: 3-5 months of part-time work
What you can't replicate
- The exact polish and instantaneous performance of a custom spreadsheet grid rendering tens of thousands of live rows
- The massive ecosystem of 1,000+ native templates and pre-built third-party API connectors
- The battle-tested security compliance, SOC2 certifications, and enterprise SAML integrations
Founded
2018
Raised
$0
Team
20–30
Cheapest paid tier
$0
What Stackby does
Cloud-based no-code platform blending spreadsheets, relational databases, workflow automations, and AI field agents.
Core features
- Virtualized spreadsheet grid with 30+ custom column types (formulas, lookups, rollups, attachments)
- Multiple data visualizations (Grid, Kanban, Calendar, Gallery, Timeline)
- Relational table linking and cross-table referencing
- Advanced form builder with conditional logic
- Asynchronous internal automation engine (triggers and actions)
- AI field agents and co-builder integration via Bring-Your-Own-Key
- Role-based access control at stack, table, view, and column levels
- Real-time collaborative editing and cell-level conflict resolution
The business
Pricing
- Free$0
- Economy$9/mo
- Business$18/mo
- Pro$35/mo
- EnterpriseCustom
Funding
$0
Pay vs build, cumulative
Break-even at month 2 — after that, every month is money kept.
The hard parts of vibe coding Stackby
- Building a performant virtualized spreadsheet grid that handles smooth infinite scrolling and complex cell formatting without layout thrashing
- Implementing operational transformation or CRDT-based multi-user real-time presence, cursor tracking, and state synchronization
- Designing a dynamic relational database abstraction layer in TypeScript that maps runtime schema definitions to a flexible SQL schema
- Developing an asynchronous background worker queue to handle multi-step conditional trigger-action sequences and third-party webhook polling
How to vibecode Stackby
Prerequisites
Node.jsfree
Required runtime environment for developing and executing the full-stack web application.
GitHubfree
Source code repository hosting and version control management during development.
AI coding tools
Claude Code
Performs complex multi-file scaffolding, writes robust TypeScript database services, and handles iterative debugging loops directly from the terminal.
Cursor
Provides an AI-native code editor workspace for fine-tuning complex React table components, virtualized DOM grids, and UI design systems.
Recommended stack
| Frontend | Next.js (React) with Tailwind CSS and TanStack Table / Virtual for high-performance grid rendering |
|---|---|
| Backend | Next.js Server Actions and API Routes with an asynchronous background worker layer |
| Database | Neon (Serverless Postgres) for relational data models and dynamic field type schemas |
| Auth | better-auth for self-hosted session management and workspace access control |
| Payments | None (Personal use clone) |
| Other | Liveblocks for real-time multiplayer presence and collaborative cursors, Vercel AI SDK for LLM-powered column enrichment and co-builder prompts, Resend for transactional invitation emails and notifications, UploadThing for secure document and spreadsheet attachment storage |
Build guide
01Project Scaffolding and Database Schema Initialization
Initialize the Next.js project repository, configure Tailwind CSS, set up better-auth for workspace authentication, and establish the core Postgres database schema using Neon.
Create a new Next.js 16 project with TypeScript, Tailwind CSS, and App Router structure. Install better-auth and configure database models in Neon Postgres for Users, Workspaces, Stacks, Tables, Columns, and Rows. The Columns table must support a JSONB metadata field to store varying configurations for 30+ column types (such as text, number, single select, multi-select, date, attachment, rating, formula, and linked record). Implement database migration scripts and ensure strict foreign key relationships between rows, tables, and parent stacks. Add comprehensive unit tests verifying workspace isolation and permission models.02Virtualized Spreadsheet Grid Engine
Build a lightning-fast virtualized spreadsheet interface using TanStack Table and TanStack Virtual that supports inline cell editing, keyboard navigation, column reordering, and responsive sizing.
Build a high-performance virtualized data grid component in React using TanStack Table and TanStack Virtual to render thousands of rows smoothly without DOM lagging. Implement cell selection, keyboard arrow navigation, copy-paste support, and inline cell editors tailored to column types (text inputs, dropdown selectors for select fields, interactive star ratings, date pickers, and file upload dialogs). Ensure that cell updates trigger optimistic UI updates while dispatching batch mutations to Next.js Server Actions. Handle edge cases such as empty state rendering, loading skeletons, and horizontal scrolling virtualization.03Relational Linking, Lookups, and Rollup Formulas
Implement cross-table record linking mechanisms, lookup fields that fetch referenced row values, and a safe formula calculation engine.
Implement a relational record-linking engine allowing users to associate rows from Table A to Table B via a foreign key junction table. Create Lookup column types that automatically resolve and display field values from linked parent records. Build a safe formula parsing engine supporting basic mathematical operations, concatenation, and conditional logic across column values within the same row. Write robust backend validation checks to prevent circular dependencies in linked records and formula references, and ensure calculations recompute efficiently upon row mutation.04Multi-View Layouts (Kanban, Calendar, Gallery, Timeline)
Develop alternative visualization modules to render stack records as Kanban boards, Calendar schedules, Image Galleries, and Timelines.
Develop alternative view rendering modules for the stack workspace. Implement a Kanban board view grouped by single-select or collaborator fields with drag-and-drop status changes. Build a Calendar view mapping records by date fields, a Gallery view displaying image attachments in responsive card grids, and a Timeline view visualizing date ranges. Ensure that state changes in any alternative view instantly synchronize with the core database grid and reflect changes across active client sessions.05Real-Time Collaboration and Presence
Integrate Liveblocks to enable real-time collaborative cursor tracking, user presence indicators, and live multi-user cell editing synchronization.
Integrate Liveblocks into the Next.js application to power real-time collaborative editing. Implement user presence indicators showing who is currently viewing or editing a stack, real-time cursor tracking on grid cells, and conflict-free state synchronization for concurrent cell updates. Handle edge cases such as user disconnects, stale presence timeouts, and optimistic mutation rollbacks if server validation fails. Test multi-client synchronization thoroughly to ensure zero data overwrite collisions.06Workflow Automation Engine and AI Field Agents
Build an asynchronous trigger-action automation worker system and integrate the Vercel AI SDK to support LLM-powered column field generation.
Build an asynchronous automation engine supporting trigger events (e.g., Row Created, Row Updated, Field Changed) and subsequent actions (e.g., Send Email via Resend, Trigger Webhook, Run AI Field Agent). Store automation definitions in Postgres and process execution runs via background worker queues. Integrate the Vercel AI SDK to power 'AI Fields', allowing users to configure prompt templates that execute LLM completions (using OpenAI or Anthropic API keys provided in workspace settings) to automatically generate or enrich text data directly inside specific table rows. Include an automation run history log viewer.
Cost vs paying for Stackby
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- Custom domain name (optional)$12/yr
Total$12 one-time
Ongoing costs (monthly)
- Vercel Hobby / Cloudflare Workers$0/mo
- Neon Serverless Postgres$0/mo
- AI API Usage (OpenAI / Anthropic)~$5-15/mo
Total~$5-15/mo
Paying for Stackby
$18/user/mo (Business Plan)
Your time to build
60-90 hours
AI tool credits
$20/mo (Claude Pro or Cursor Pro)
Break-even
1 month of heavy use
Vibe code Stackby: FAQ
- Can you vibe code Stackby yourself?
- Serious undertaking — 38/100 vibecodeable. Build a personal subset with Next.js and Postgres, or keep paying because replicating the blazing-fast virtualized grid engine and real-time collaboration layer requires months of intense work.
- How long does it take to vibe code Stackby?
- 3-5 months of part-time work — roughly 60-90 hours of hands-on time with an AI coding agent.
- How do you build your own Stackby?
- Scoped to personal use: Next.js (React) with Tailwind CSS and TanStack Table / Virtual for high-performance grid rendering on the front, Next.js Server Actions and API Routes with an asynchronous background worker layer behind it, Neon (Serverless Postgres) for relational data models and dynamic field type schemas for data. Follow the 6-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own Stackby without being an expert?
- Use an AI coding tool (Claude Code or Cursor) and work in small steps: scaffold, data model, core screens, then deploy. Realistic effort: 3-5 months of part-time work. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Stackby instead of paying?
- About $12 one-time to start and ~$5-15/mo to run, versus $18/user/mo (Business Plan) for Stackby. Break-even: 1 month of heavy use.
- What stack should you use to vibe code Stackby?
- Next.js (React) with Tailwind CSS and TanStack Table / Virtual for high-performance grid rendering; Next.js Server Actions and API Routes with an asynchronous background worker layer; Neon (Serverless Postgres) for relational data models and dynamic field type schemas; plus Liveblocks for real-time multiplayer presence and collaborative cursors, Vercel AI SDK for LLM-powered column enrichment and co-builder prompts, Resend for transactional invitation emails and notifications, UploadThing for secure document and spreadsheet attachment storage.