Probably working on too many projects at the moment - but really enjoying building again.
Working hard to figure out how to market, interested in trying to push things out a bit more.
Working on a benchmarking tool with https://flopper.io for GPUs too - written in Rust - which should allow me to try to get people to submit their general flop values for consumer hardware to run local llms/models.
Added a fifth project this month. Most likely very unwise...
1. probe.bike - tell stories with your bike rides. It allows you to aggregate your cycling trip into one datapoint. Will likely break this out to skiing over the break and rebrand slightly. Adding yearly cards as we speak!
2. flopper.io - I'm seeing traffic rise and rise for this and it's been a great way to translate my every-increasing understanding of AI Infrastructure architecture to a new project. It acts as a benchmark website for GPUs and systems (e.g. Nvidia NVL72.
3. llmstxt.studio - still feel like llms.txt as an idea make sense - so hedged that and but let's see. Got my first customer this month. B2B and need more features/marketing.
4. rides.bike - the oldest - a catalogue or well researched cycling destinations and information about destinations. Will be adding more very soon!
2. https://boulderinglist.com - a catalog of climbing gyms across the world
3. https://livedsupport.com - AI driven support for colorectal issues
4. https://radiusing.uk - find where people are willing to do something to improve the social fabric of where they live
5. https://llmstxt.studio - generate rich and full llms.txt files for your website. Then we check if AI queries would cite you based on this.
6. https://probe.bike - aggregate and tell stories with your cycling data
7. https://paletter.dev - a color design system for the modern era - based on design systems
8. https://llmstxt.work - a directory of llms.txt files
Probably working on too many projects at the moment - but really enjoying building again.
Working hard to figure out how to market, interested in trying to push things out a bit more.
Working on a benchmarking tool with https://flopper.io for GPUs too - written in Rust - which should allow me to try to get people to submit their general flop values for consumer hardware to run local llms/models.
Any feedback super welcome!
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