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Novgraph

Knowledge graph for codebases

Details

External ID
1249640
Source
PH
Company
—
Product
Novgraph
Website domain
producthunt.com
Launched
Sept. 14, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.30815693820825313
Tags
Developer Tools, Artificial Intelligence, GitHub
Fetched at
Sept. 16, 2026, 1:17 a.m.
Updated at
Sept. 16, 2026, 1:17 a.m.

Description

A live knowledge graph of your codebase for coding agents: commit intent, co-change coupling, ranked blast radius, computed architecture - over MCP or the shell, at 96.04-99.81% token savings measured per answer. Claude Code, Codex, Cursor, Copilot, Gemini CLI, Windsurf, Cline, OpenCode. Python 3.11+. - Novaya-AI/novgraph

Enrichment

Theme
ai coding agents and tooling
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
knowledge graph for codebases
Manually corrected
False

Could you build this?

Partial Building the MCP server wrapper and reading git logs is simple, but computing cross-language blast radius and accurate dependency knowledge graphs requires deep static analysis expertise.

What it would actually take: The architecture relies on Tree-sitter parsers to generate ASTs across languages, git log analyzers to compute co-change coupling matrices, and a high-performance graph engine (like NetworkX or Rust-based petgraph). The primary challenge is accurately resolving cross-file symbol references, handling dynamic imports, and ranking blast radius without running into combinatorial explosions on large codebases.

Competitors

Other products that read as similar to this one — 127 launches clear the similarity bar, closest 8 shown.

Attention rank: #84 of 128 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 314 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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