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).
If you've ever built a backend system that passes messages between services, you've probably bumped into something like RabbitMQ to help you scale.
LavinMQ is an alternative open-source message broker that supports AMQP 0-9-1, MQTT, HTTP and Streaming. It compiles into a single binary and tries to use as few resources as possible. If you know RabbitMQ, it's that, but running on a fraction of the hardware.
Why build another message broker? We're the team behind CloudAMQP, where we've been hosting RabbitMQ clusters for 14 years. Over the time we occasionally ran into limitations we couldn't always explain to customers (because we didn't control the internals). Connection churn, memory spikes, scaling problems.
Carl (our founder) started by building an open-source AMQP proxy to handle short-lived connections for a customer. Once the full protocol was implemented, adding a persistence layer seemed like a fun challenge. How hard could it be? Turns out that implementing the AMQP protocol was the easy part. Storing messages reliably on disk, handling acknowledgements without blowing up memory, getting replication right. Those things took years of effort...
Today LavinMQ is a resource-efficient & highly performant open-source message broker, written in Crystal.
We've seen it run over a million messages per second on a small cloud VM. It's running in production at IoT companies, online games, fintech companies, stock brokers, food delivery apps, newspapers and large TV game shows.
The project is available at https://github.com/cloudamqp/lav... if you want to look under the hood. The team is on standby to answer your questions.
LavinMQ was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #160 on the daily leaderboard. The extremely fast Message Broker that handles a large amounts of messages and connections, based on the AMQP 0-9-1 protocol.
On the analytics side, LavinMQ competes within Open Source, Internet of Things, Software Engineering and GitHub — topics that collectively have 378.4k followers on Product Hunt. The dashboard above tracks how LavinMQ performed against the three products that launched closest to it on the same day.
Who hunted LavinMQ?
LavinMQ was hunted by Daniel Marklund. 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 LavinMQ including community comment highlights and product details, visit the product overview.
Daniel Marklund
Hi everyone. I'm Daniel from the LavinMQ team.
If you've ever built a backend system that passes messages between services, you've probably bumped into something like RabbitMQ to help you scale.
LavinMQ is an alternative open-source message broker that supports AMQP 0-9-1, MQTT, HTTP and Streaming. It compiles into a single binary and tries to use as few resources as possible. If you know RabbitMQ, it's that, but running on a fraction of the hardware.
Why build another message broker? We're the team behind CloudAMQP, where we've been hosting RabbitMQ clusters for 14 years. Over the time we occasionally ran into limitations we couldn't always explain to customers (because we didn't control the internals). Connection churn, memory spikes, scaling problems.
Carl (our founder) started by building an open-source AMQP proxy to handle short-lived connections for a customer. Once the full protocol was implemented, adding a persistence layer seemed like a fun challenge. How hard could it be? Turns out that implementing the AMQP protocol was the easy part. Storing messages reliably on disk, handling acknowledgements without blowing up memory, getting replication right. Those things took years of effort...
Today LavinMQ is a resource-efficient & highly performant open-source message broker, written in Crystal.
We've seen it run over a million messages per second on a small cloud VM. It's running in production at IoT companies, online games, fintech companies, stock brokers, food delivery apps, newspapers and large TV game shows.
The project is available at https://github.com/cloudamqp/lav... if you want to look under the hood. The team is on standby to answer your questions.