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SpecRabbit
Draw your architecture. Zero guesswork for AI.
SpecRabbit replaces text-based architecture specs with a visual typed node graph. Unlike prose descriptions, it enforces completeness - you can't add an endpoint without auth level or a database connection without query to run. The export is raw JSON/YAML graph topology with built-in AI instructions, not a screenshot or markdown. Every node combines structured parameters with free text for behavioral context. The result: AI coding agents generate code matching your design, not their assumptions.
Hey Product Hunt! 👋 Oleg here, founder of SpecRabbit.
I built this after hitting the same wall repeatedly with AI coding agents - describe your architecture in text, AI fills in the gaps with its own assumptions, you spend hours correcting decisions you never made.
SpecRabbit takes a different approach: draw your architecture as a typed node graph instead of describing it. UI forms, API endpoints, backend services, databases - all connected by explicit named flows. Every node has typed parameters plus a free text field for behavioral context like "roll back inventory reservation if payment fails."
Export as a single JSON or YAML file. The export includes built-in instructions for your AI coding agent explaining exactly how to interpret every element. Feed it to Cursor, Claude Code, or any AI agent - it generates code matching what you designed, not what it guessed.
A few things that make it different:
• Enforced completeness - you can't add an endpoint without auth level or a database connection without defining query to run. • Structured JSON output the AI reads natively - no image recognition, no markdown parsing, minimal tokens. • Free text description per node for behavioral context that doesn't fit a schema.
The post hit #1 on r/VibeCodeDevs with 52K views and 70 upvotes in 3 days, which told me the pain is real.
Free tier available - 2 projects, 15 nodes, all node types, full export. Would love your feedback and questions!
About SpecRabbit on Product Hunt
“Draw your architecture. Zero guesswork for AI.”
SpecRabbit was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #129 on the daily leaderboard. SpecRabbit replaces text-based architecture specs with a visual typed node graph. Unlike prose descriptions, it enforces completeness - you can't add an endpoint without auth level or a database connection without query to run. The export is raw JSON/YAML graph topology with built-in AI instructions, not a screenshot or markdown. Every node combines structured parameters with free text for behavioral context. The result: AI coding agents generate code matching your design, not their assumptions.
On the analytics side, SpecRabbit competes within Developer Tools, Artificial Intelligence and Vibe coding — topics that collectively have 990.2k followers on Product Hunt. The dashboard above tracks how SpecRabbit performed against the three products that launched closest to it on the same day.
Who hunted SpecRabbit?
SpecRabbit was hunted by Oleg Kabanov. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SpecRabbit including community comment highlights and product details, visit the product overview.
Oleg Kabanov
Hey Product Hunt! 👋 Oleg here, founder of SpecRabbit.
I built this after hitting the same wall repeatedly with AI coding agents - describe your architecture in text, AI fills in the gaps with its own assumptions, you spend hours correcting decisions you never made.
SpecRabbit takes a different approach: draw your architecture as a typed node graph instead of describing it. UI forms, API endpoints, backend services, databases - all connected by explicit named flows. Every node has typed parameters plus a free text field for behavioral context like "roll back inventory reservation if payment fails."
Export as a single JSON or YAML file. The export includes built-in instructions for your AI coding agent explaining exactly how to interpret every element. Feed it to Cursor, Claude Code, or any AI agent - it generates code matching what you designed, not what it guessed.
A few things that make it different:
• Enforced completeness - you can't add an endpoint without auth level or a database connection without defining query to run.
• Structured JSON output the AI reads natively - no image recognition, no markdown parsing, minimal tokens.
• Free text description per node for behavioral context that doesn't fit a schema.
The post hit #1 on r/VibeCodeDevs with 52K views and 70 upvotes in 3 days, which told me the pain is real.
Free tier available - 2 projects, 15 nodes, all node types, full export. Would love your feedback and questions!