There's a demo here: https://codemix.com/graph
and it's open source on github at: https://github.com/codemix/graph
It powers the underlying knowledge graph for codemix.com - it's like an IDE for your product, not your code.
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There's a demo here: https://codemix.com/graph
and it's open source on github at: https://github.com/codemix/graph
It powers the underlying knowledge graph for codemix.com - it's like an IDE for your product, not your code.
My mother is living alone in her house and we are getting to the point where she might not be able to live alone. I built "Still Kicking", a picture frame that monitors her motion and sends back basic reports and can detect falls and sleep quality to a phone app, to help give her more time at home. It's just an mmWave sensor connected to an ESP32. But it works nicely, and I'm thinking of starting a company making the…
It's already running live. You can see collective intelligence evolve in real time: https://telos-observation.vercel.app/?_vercel_share=dTivz4e5...
And you can run your own monad(agent) and join Telos. Github: https://github.com/lucyomgggg/telos-client
I'm a software dev/data nerd, not a grower. I got interested because cannabis grow rooms are already full of automation - VPD controllers, pH/EC monitoring, dosing pumps, dimmable lights. But nothing was looking at the plant. Every sensor in the room measures the environment, not whether the plant is actually doing well. I wanted to add the eyes. And this seems to be a bound domain issue (i.e. limited number of issues/conditions/pests vs. all plants everywhere).
ViT-based multi-stage pipeline that verifies it's cannabis, classifies condition or pest, then runs nutrient subclassification if needed. 30 classes, 18ms inference, Go API, ONNX Runtime. Trained on a little over a million images from grower friends. Classification was 80% of the lift. I also shipped a Home Assistant integration - camera takes a scheduled snapshot, PlantLab diagnoses, HA acts on the result. No human involved.
Recently the part that's been the most fun is the autoresearch loop. Between training runs the system looks at its own confusion matrix, finds which classes it's mixing up, audits those training images for bad labels, and tells me what to fix. It's not fully autonomous yet but it's getting there - the model is increasingly debugging its own training data.
Solo project, [1] I built a simple Android app for those who want to just try it out, it's on Google Store. Probably will make one for iOS too as time allows. https://play.google.com/store/apps/details?id=com.plantlab.p...
I'm building a financial censorship monitor at https://nofunds.org/ , that tells a story of how money has been turned into a political weapon to silence journalists, activists, and civil society by freezing assets, blocking accounts, sanctioning, and banning payments. It's part of my master's thesis https://www.doria.fi/handle/10024/187407 and also https://news.ycombinator.com/item?id=36430596 , but now I wanted to m…
my hunch is that we're moving towards more surveillance, censorship and deplatforming in the future, and CBDCs are a major tool for that.
I like Bitcoin, despite its problems (price volatility and quantum vulnerability) but I think censorship-resistant stablecoins would be a better solution for people looking to protect themselves from Big Brother.
If you've seen Kinesis Advantage, it's similar but with a smaller more compact size. It also has a thumb cluster that's not as hard to reach because of its downward angle (uses thumb abduction instead of thumb extension, which puts you into a more ergonomic handshake position). The layer keys are also offset at a lower height so you won't accidentally hit it. It's QMK compatible and hotswappable.
It's an open-source TypeScript microservices framework. It generates and deploys an entire production-grade cloud infrastructure (VPC, gateway, WAF, observability, CI/CD) from a single config file. Multi-cloud across GCP, AWS, and Azure. Just shipped v0.2.0. Built it because I got tired of writing the same Terraform, gateway config, and CI/CD for every TypeScript project. It does include an MCP server so AI agents can understand the framework, help in the development and also in managing the stack.
https://github.com/tsdevstack https://tsdevstack.dev https://youtu.be/6MJ4PPPjxH8 https://dev.to/gyorgy/i-built-a-typescript-framework-that-ge...