I've been working on an MQTT Broker/Topic tree explorer. It's intended to help someone understand what kinds of data are moving through their broker, what the busiest data is, and just generally be pretty. https://ryanbateman.github.io/mqtt_vis/

OSS, MIT licensed. Feedback welcomed!

I'm a former Lyft & DoorDash engineer exploiting a talent loophole.

Mission: get startups access to senior & principal big-tech engineers at a 90% discount and without hemorrhaging equity.

The hack is that I'm tapping into a hidden supply of people hiding in plain sight: top engineers that are already full-time employed in big-tech with benefits who enjoy helping smaller startups, and, recently retired people who want something to do.

The name I'm using is Low Touch Advisor because we are selling what I call "low touch" help in the form of async Slack based guidance. By having access to senior people perfectly matched to your team's needs, you can use your actual engineers to do the hands on and majorly reduce the likelihood that a major rewrite is needed after 6 months of effort on new projects.

Basic model: - Our customer (an early stage company) pays $1,500 / month with no long term commitments to get async Slack help from a vetted senior/principal engineer perfectly matched to their needs - Of that, we ACH $1k / month to the engineer who provided the Slack-based help

Within the first 3 months of operating, I have $27k of monthly revenue booked in my sales pipeline.

So far I've done everything by hand but once I'm a bit further ahead, I'm going to look to begin automating this.

If you want to connect: https://www.linkedin.com/in/jonathanblockengineer/

Currently moving Carolina Cloud to Kubernetes. I had built a custom orchestrator but really want the freedom of pod movement as well as KubeVirt's live migration capabilities. My ultimate plan is to open a second location in South Carolina at a cheaper colocation and then drain the nodes one by one, moving them to there, and leave my prior colocation. Kubernetes will make this possible.

I was interested in the idea of generating vector graphics with simple scripting language. The "simple" did not happen, but... I launched https://scriptdraw.com and I have lots of fun with it. My goal is to make the language much simpler than it actually is and then create a lot of generators (for example, gears!).

My fun but ridiculous project is reverse engineering as much of Wizardry VI as I can: https://github.com/martydill/Wizardry-6-reverse-engineering

This is the type of project that I never would have started in the first place if not for LLMs.

Building a cheaper alternative to Twilio Voice Intelligence. Record phone calls, transcribe, generate AI summaries, enable semantic search over transcripts — $0.30/hour vs Twilio's $1.50/hour.

Stack is 15+ Go microservices on k3s. Cross-lingual semantic search is fun. Spanish query returns English calls with no translation code.

https://audiotext.live/

"Does a launch make any impact if there's no audience?"

We've found most early-stage startups ignore social media until after a launch. Things like “$0 spent on ads” sound cool, but they don’t help if no one knows your product exists.

I'm building Appents to provide a done-for-you social media solution for startups.

Would love feedback: https://appents.com/

Still very early stage, mostly research and prototypes for now.

I'm building DB Pro, a better database client.

I just released support for dashboards. I've kept a devlog for the past 6 months.

https://youtu.be/EEA73e6MH1c

And the biggest update is coming soon, DB Pro Cloud, which will let you connect to and manage any database through your browser as well as collaborate with your team.

Imagine Postman but for databases.

https://dbpro.app

I write quite a bit about books and papers I read. This ranges from contemporary work on privacy and machine learning to math, economics, and philosophy from the nineteenth century.

Several readers have asked for an easy way to get recommendations without working through long-form review articles.

Here's the first iteration of a simple recommender: https://bcmullins.github.io/reading/