Rulebricks is the easiest way for teams to add powerful decision-making capabilities to any business process. Model complex decisions and build personalized customer experiences in record time and zero lines of code.
Build powerful API’s using spreadsheets
Rulebricks is the easiest way for teams to add powerful decision-making capabilities to any business process. Model complex decisions and build personalized customer experiences in record time and zero lines of code.
Hi PH! Been a while– I’m Sid, and I’m stoked to share rulebricks.com with you all today! Many workflow builders and automation tools have support for adding decision-making logic to your processes, but can get complicated rather quickly. Having spent the last few years building our own automation tooling at Prefix , we’ve learned that although workflow builders do excel at automating sequences of actions, they occasionally struggle with automating business decisions that go between those actions
Interesting UX choice! While spreadsheet GUIs may not be the best UX for a lot of use cases, it's often the most intuitive for many people. Side note: I created Product Hunt's first "rank algo" using Google Sheets.
The ability to model complex decisions quickly and easily is a huge benefit of this platform. It's so much faster than traditional development approaches.
The zero lines of code approach is a real game-changer. It's so much more efficient than traditional development approaches, and it makes the platform accessible to non-technical team members.
Congrats on the launch! I'm excited to see what Rulebricks can do to streamline our decision-making. Can't wait to explore the possibilities!
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.