I'm the founder of PrintNanny https://printnanny.ai/, which seems to fit the current use case for Tensil. My model's architecture is a "classic" CNN feature extractor, SSD box/region proposals, with a final non-max suppression op. I currently run a uint8 quantized TensorFlow Lite model on Raspberry Pi, without additional acceleration - but I'm very familiar with the hassle of using partially-closed source accelerators like Coral's Edge TPU. Excited to read through the graph compiler!
I joined your Discord, looking forward to tracking Tensil's progress.
I confess that I'm curious how you currently or intend to make money? How much time are you giving yourselves to figure out a sustainable financial model?
For what it's worth, I'm also ex-Red Hat and thoroughly understand the advantages of paying for high-quality support. I also want to re-iterate that I think that the accessibility of open-source ASIC/FPGA tools will define the future of AI/ML. This is important work that will change the world - I'm excited to see someone tackling it!