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).
You define the goal. It handles the rest. AIBA is an Autonomous Internet Browsing Agent Key Features: * Swarm Parallelism: Up to 50 concurrent, isolated sub-agents. * Scheduled Beats: Cron-driven automated workflows. * Token Optimization: Capped at 3k tokens. * APL licensed with 100% test coverage.
Hi Product Hunt!
I am the solo creator behind AIBA.
I built AIBA because I grew tired of watching traditional browser automation tools break the second a dynamic DOM changed or a React portal shifted layout states. I wanted an agent that didn't just blindly click text targets, but actually utilized visual comprehension to navigate the web like a human does.
Every single architectural decision, engineering optimization, and line of code was built from the ground up with stability and optimization in mind—including a dynamic tree-pruning mechanism that heavily compresses the DOM context window down to 3k tokens.
The tool is completely open-source under the APL license, fully documented, and backed by strict 100% unit and integration test coverage.
I would love to hear your thoughts on the coordinate-based execution engine, parallel swarm architecture, or how you plan to use it for your automated research workflows.
Check out the repository, audit the code, and let me know what you think. If you find it valuable, leaving a GitHub star would mean a lot!
GitHub: github.com/hamza-mughal1/AIBA
Documentation: docs.aibacli.tech
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About AIBA on Product Hunt
“Autonomous Internet Browsing Agent”
AIBA was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #5 on the daily leaderboard. You define the goal. It handles the rest. AIBA is an Autonomous Internet Browsing Agent Key Features: * Swarm Parallelism: Up to 50 concurrent, isolated sub-agents. * Scheduled Beats: Cron-driven automated workflows. * Token Optimization: Capped at 3k tokens. * APL licensed with 100% test coverage.
AIBA was featured in Open Source (68.6k followers), Developer Tools (515.9k followers), Artificial Intelligence (473.8k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 222k products, making this a competitive space to launch in.
Who hunted AIBA?
AIBA was hunted by Hamza Mughal. 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 AIBA stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hamza Mughal