Giya
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From Scattered Inspiration To Built-Ready Specs.

Giya is a multidisciplinary ideation workspace that structures notes, extracts entities, applies structured thinking frameworks, and generates versioned prototypes.

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Join the Early Access Waitlist

Be among the first solo founders, product managers, and creative technologists to transform scattered references into production-ready specifications.

The Workspace Blueprint

Four tailored panels operating in synchronization to compile raw inspiration into production schemas.

v0.1.0 Active← Swipe →
Project Context
v0.1.0
Project Goal
Build an automated ideation pipeline.
Target Audience
Solo founders & product teams.
AI Assistant
Insight Bank
Workspace
INSTAGRAMScraped

Interactive UI Component Spec

High-contrast dark mode card layouts.

PINTERESTCaptured

Structured Design Frameworks

Structured graph node mappings.

Filter: All (4)Batch Select
Brainstorm Canvas Sandbox
Node Graph
Core Goal

Spec Engine

requires
Mechanism

OWL 2 Compiler

2 Nodes · 1 EdgeForce Semantics Run
Specification Exporter
IPO Flow
Input
Process
Output
Context Brief
LLM Synthesize
Spec Doc
Format: W3C JSON-LD

1. Context Brief & AI Assistant

Define project goals, problem statements, and constraints to build relationship and meaning. Version it and share it.

2. Universal Insight Bank

Ingest web URLs with live metadata preview scraping, text quotes, and media. Search, filter, and batch-manage workspace insights.

3. Interactive Canvas Sandbox

Drag and drop, build relationships and meaning between data, and use AI-powered tools to ideate further.

4. Specification & Prototype Exporter

Construct Input-Process-Output (IPO) tables, compile W3C JSON-LD / OWL 2 Ontologies, export Markdown specs, and build app specs for agentic app builders and IDEs.

OpenRouter Guardrails + ZDR

AI processing without prompt or response retention.

Giya currently supports 23 approved AI models through OpenRouter with Zero Data Retention enforced on every request, including industry leaders like GPT-4o, Claude Sonnet 5, Gemini 3.6 Flash, Llama 3.3 70B, and Sonar Deep Research. The assigned Giya Security guardrail scans inputs for prompt injection and sensitive information before model processing.

23 ZDR-approved modelsTop models: GPT-4o, Claude Sonnet 5, Gemini 3.6, Llama 3.3 & Sonar

Zero Data Retention

OpenRouter and the selected inference provider do not retain prompt or response content under the enforced ZDR route.

Guardrail Screening

Prompt-injection patterns and configured sensitive-information types are redacted or blocked before reaching a model.

Fail-Closed Routing

If no compliant ZDR provider is available, Giya stops the request instead of routing it to a retaining provider.

ZDR applies to AI prompt and response content. OpenRouter may retain operational metadata such as token counts and latency, while workspace content you intentionally save remains stored in Giya.

Frequently Asked Questions

What makes Giya different from Miro, Notion, or ChatGPT?

Unlike standard whiteboards or generic chat boxes, Giya connects your raw social media inspiration (Instagram, Pinterest, web links) directly to a visual knowledge graph, runs structured thinking tools (First Principles, 6 Hats, HATERADE), and generates versioned software specifications.

Who is Giya built for?

Giya is designed for solo founders, indie hackers, product managers, creative technologists, and R&D teams who need to turn scattered references and raw ideas into deployable specifications without a bloated toolchain.

How does the pricing and free tier work?

Giya offers a generous Free tier that includes 3 active projects, 50 Insight Bank items, and 15 AI thinking tool runs per month. Pro ($12/mo) and Team ($29/mo) plans unlock unlimited projects, advanced AI models, and export features.

How are my project versions and data secured?

Every project uses git-like immutable versioning trees, and workspace data is isolated with Supabase Row Level Security. AI requests use OpenRouter guardrails and require a Zero Data Retention provider route, so prompt and response content is not retained by OpenRouter or the serving inference provider.