This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
There are many scanners and codebase explanation tools out there, but Invisio goes a step further. It builds a graph of your repository so you can instantly understand how code connects, it automatically reviews pull requests using repository-wide context, resolves security findings with code-level fixes, and lets you chat with an architecture-aware AI that understands your codebase, dependencies, and implementation details.
Hey Product Hunt 👋
As more and more code gets generated by AI, shipping software has become faster than ever. But maintaining that software is becoming increasingly difficult. Codebases grow larger, dependencies become harder to track, pull requests become more complex, and the cognitive overhead of understanding how everything fits together keeps increasing.
I built Invisio to help tackle that problem.
Invisio builds a graph of your codebase so you can understand how functions, files, and services connect, reviews pull requests with repository-wide context, helps resolve security findings with code-level fixes, and lets you explore your architecture through an AI that understands your codebase.
Security is often the first challenge teams face when maintaining a growing codebase, which is why it's the first area where Invisio focuses. But the broader goal is to make complex codebases easier to understand, maintain, and evolve.
We're launching an early free version today and would love feedback from the community. To keep infrastructure costs manageable while we learn from users, the current version supports up to 5 repositories and 10 alerts per repository.
I'd love to hear:
* What part of maintaining modern codebases frustrates you the most?
* Which feature interests you the most?
* What would make a tool like this useful in your workflow?
Thanks for checking out Invisio
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About Invisio on Product Hunt
“Understand and Secure Your Codebase”
Invisio was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #137 on the daily leaderboard. There are many scanners and codebase explanation tools out there, but Invisio goes a step further. It builds a graph of your repository so you can instantly understand how code connects, it automatically reviews pull requests using repository-wide context, resolves security findings with code-level fixes, and lets you chat with an architecture-aware AI that understands your codebase, dependencies, and implementation details.
Invisio was featured in Software Engineering (42.7k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 136.7k products, making this a competitive space to launch in.
Who hunted Invisio?
Invisio was hunted by Steve Wayne. 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.
Want to see how Invisio stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Steve Wayne