To me, one of the most interesting parts of Meshtastic is the Websphere MQ roots of MQTT and all the goodness of observability and data analysis that comes from an open message broker.
Light up MQTT-explorer and explore the default topics for a good laugh
One guy associated with the project, but never a contributor to the firmware, decided to create his own vibe-coded client/app and to trademark the name of the project. The rest of the team said "no" to that and continued doing what they were doing before.
The reason Meshcore works better for texting is the different routing. It has nothing to do with the recent drama.
It totally is a real project. Their marketing guy tried to take off with the trademark, long story. He's the vibe coder, and is trying to carry on like it's all good while the community went with the actual firmware/client devs.
I'd argue at this point there's more MeshCore networks in the world than Meshtastic
We need a Vevor-style innovator to come in to the specialty appliances market. “Durable goods” needs a shot in the vein. Buy it for life washing machines and dryers that efficiently make clothes clean and are repairable, not an innovation engine or race to the bottom cost-cutting extravaganza.
People will buy a $500 espresso machine. They buy $300 water filters and dough mixers and dehydrators and on and on. Yes, it is a single-tasker but Starbucks requires a salary of $255K USD to enable a $7USD/day coffee habit.
I’ll teach myself to fish every time, given the option to buy a pole.
To get value out of Rovo, it needs detail. Your over-subscribed Jira power user/admin can't effectively make it happen. No guarantees Atlassian (Rovo itself) can make it happen either, but the patterns are going to develop and evolve closer and closer to the Agents that make the features.
They have a peculiar definition of Metadata, however. It's a proprietary data product derived from user content. It's a bit shit they way they sell it as metadata. It's a derivation. It's a product of Content, so it's Content - privacy safeguards cannot begin to cover the variation.
\"Metadata includes two data types referred to as content attributes and common patterns.
Content attributes are statistical characteristics, numeric fields, and derivatives of your in-app data.
Examples of content attributes may include the number of story points assigned to a Jira work item or the complexity of a Confluence page.
Common patterns are phrases, keywords, and topics we extract from search queries and results, Rovo Chat (conversations, prompts, and responses), and custom configuration data that are frequently seen across many customers, while omitting rare data that may be unique to your organization.
Examples of common patterns may include common words, phrases, or Rovo Chat prompt topics that are frequently used by customers, such as “vacation policy” or “recap team activity.”\"
reply