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Project Oryx

Decompose. Visualize. Understand codebases, legacy to AI.

Explore and execute code visually across Python, Java, and C++. Sequence diagrams light up in sync as the program steps, built deterministically from the AST and live execution, not an LLM’s guess. Variables render as structured visuals: trees, containers, pointer graphs. Rewind to any point, change a value, and continue down a new branch. From legacy systems to AI-generated code, every codebase becomes legible.

Top comment

Hi all, this is Jon, the main developer of Project Oryx.

This is an early evaluation release. The main reason it is here is to learn which features actually matter to working developers before investing deeper in any single one.

The core idea is to understand a codebase by watching it run. When stepping through Python, Java, or C++, the sequence diagrams light up in sync, built from the real AST and live execution rather than an LLM’s guess. Variables show up as visuals instead of walls of raw text.

The main areas currently being looked at are:

1. Enabling true branch editing to rewind code and edit variables at runtime. Currently, rewinding works for variable inspection only.
2. Generating semantic diagrams faster, with greater accuracy, and with lower token consumption.
3. Building fully themeable user interfaces.

Which of these features are genuinely useful day to day, and what feels missing? Honest, specific feedback is the entire point of this launch. The feedback button is in the lower-left corner of the workspace and it is the fastest way to send a note.

Thank you for taking a look.

About Project Oryx on Product Hunt

Decompose. Visualize. Understand codebases, legacy to AI.

Project Oryx was submitted on Product Hunt and earned 6 upvotes and 5 comments, placing #91 on the daily leaderboard. Explore and execute code visually across Python, Java, and C++. Sequence diagrams light up in sync as the program steps, built deterministically from the AST and live execution, not an LLM’s guess. Variables render as structured visuals: trees, containers, pointer graphs. Rewind to any point, change a value, and continue down a new branch. From legacy systems to AI-generated code, every codebase becomes legible.

On the analytics side, Project Oryx competes within Developer Tools, Artificial Intelligence and Data Visualization — topics that collectively have 992k followers on Product Hunt. The dashboard above tracks how Project Oryx performed against the three products that launched closest to it on the same day.

Who hunted Project Oryx?

Project Oryx was hunted by Jonathan Castillo. 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 Project Oryx including community comment highlights and product details, visit the product overview.