Locofy vs siift: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Locofy and siift — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Locofy

Locofy.ai

Freemium

AI design-to-code tool that converts Figma and Penpot designs into production-ready React, Vue, HTML-CSS, React Native, and Flutter code.

Locofy Lightning: One-click AI conversion of Figma or Penpot designs into responsive, component-based frontend code using Large Design Models.
Multi-Framework Export: Generates code for React, Vue, Angular, Next.js, Gatsby, HTML-CSS, React Native, and Flutter.
Auto Components & Responsiveness: Automatically detects reusable components and makes layouts responsive across breakpoints.
Design Tool Integration: Works as a plugin inside Figma and Penpot to convert designs without leaving the canvas.
Agentic Dev Handoff: Acts as a frontend layer between design files and AI code editors like Cursor and Claude.
Code Sync & Export: Pushes generated code to a repository or dev environment so design and code stay in sync.

Rapid Prototyping: Convert a Figma mockup into a working frontend prototype in minutes instead of hand-coding it.
Design-to-Dev Handoff: Hand developers clean, structured code generated directly from designer files.
Frontend Acceleration: Cut UI coding time significantly when building React or React Native interfaces.
Cross-Platform Builds: Generate both web and mobile UI code from a single design source.
Legacy Workflow Modernization: Bridge existing Figma libraries into modern component-based codebases.

Freemium

An agentic AI operating system that helps founders map, validate and execute business strategy on one intelligent canvas.

Intelligent Business Canvas: A visual workspace that maps ideas, assumptions, actions and results into decision-ready filters so the whole business can be seen at once.
Living Memory System: A scalable agentic memory that learns as the business evolves and keeps context aligned across tools, data and teammates.
AI-Scored Validation: Automated, continuous research that grades assumptions into evidence so founders know what is validated and what is still risky.
Five-Stage Execution Loop: Guided progression through Ideate, Validate, Build, Go To Market and Scale, each with its own AI-driven workflow.
Safe Stack Automations: Human-in-the-loop actions across 80+ popular applications so approved work executes without leaving the canvas.
Shareable Workspaces: Collaborative views that let teammates, advisors and other stakeholders work from the same strategy context.
Proactive Next-Step Guidance: Personalized, iterative advice that surfaces the highest-leverage action rather than a generic checklist.
Credit-Based AI Usage: Monthly request credits scaled by plan and weighted by task complexity, with unlimited projects even on the free tier.

Idea Validation: De-risking a new business concept by turning founder assumptions into automatically researched, scored evidence before building.
Strategy Mapping: Turning a cloud of unstructured ideas into a visual mind-map that exposes blindspots across the business model.
Go-To-Market Planning: Iterating on sales and marketing with an AI-native loop that tests which channels actually produce revenue.
Product Prioritization: Helping product leaders decide what to build next based on verified market opportunities rather than intuition.
Scaling Diagnostics: Systematizing an existing business to surface its current growth constraints and reverse-engineer fixes.
Advisor Collaboration: Sharing a single live strategy workspace with co-founders, advisors and investors instead of static decks.