Top all-time · #7244
Edge Impulse
Company blog · edgeimpulse.com/blogaihardware
Edge Impulse is the company blog at edgeimpulse.com, writing about ai and hardware. Since 2020, 11 different Hacker News readers have linked it 32 times, most often “Make deep learning models run fast on embedded hardware”. It is still writing: the last post was on 2026-10-27, and you can follow it by feed.
Too few sampled comments (10) to say how often HN recommends it.?
Why HN links it
HN commenters link Edge Impulse's blog posts on TinyML and embedded machine learning. Most comments promote the Edge Impulse platform and its project registry rather than judging the writing.
Summarised by Claude from a sample of 10 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
From end-to-end pipelines and security to versioning and model monitoring, Edge Impulse provides native MLOps workflows for edge AI and physical AI. Develop, deploy, and manage AI solutions at scale across the edge hardware ecosystem.
Most-linked posts?
- /5 people · 7 mentions · first linked 2020-03-23
- Make deep learning models run fast on embedded hardware3 people · 3 mentions · first linked 2020-04-29
- Edge Impulse raises 34M$ Series B to bring ML to embedded devices2 people · 2 mentions · first linked 2021-12-09
What Hacker News says?
Edge Impulse ( https://edgeimpulse.com ) | Technical marketeer | REMOTE (North America or Europe) Edge Impulse enables developers to build the next generation of intelligent devices with embedded machine learning (also known as TinyML). We believe that our platform will unlock immense value from 99% of edge devices data that is currently being discarded due to cost, bandwidth or power constraints. Our SaaS platform…
Comment linking /
on “Ask HN: Who is hiring right now?”Submitted Signal processing is key to embedded machine learning as a story · 104 points
HN discussionEdge Impulse | Full-stack Web Engineer | Full-time | Remote (US/Europe only) | https://edgeimpulse.com Are you excited about bringing true intelligence to the smallest of devices? Edge Impulse lets embedded developers use signal processing and machine learning to make their devices understand the real world. We have a fantastic community of 10,000+ developers, are involved in open source projects like TensorFlow, an…
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on “Ask HN: Who is hiring? (April 2021)”Submitted Qualcomm Acquires Edge Impulse as a story · 7 points
HN discussionEdge Impulse (a Qualcomm company) | Senior ML Engineer | REMOTE in NY/NJ/CT | Full-time | https://careers.qualcomm.com/careers/job/446705785653 | $126-211k + RSUs Edge Impulse ( https://edgeimpulse.com ) is the top developer platform for edge AI: think HuggingFace but for models that process sensor data on the edge. We have a large and active community of hundreds of thousands of developers. We were recently acquire…
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on “Ask HN: Who is hiring? (June 2025)”Submitted Bringing Edge AI to Rust: Introducing the Edge Impulse Rust Library as a story · 5 points
HN discussionYou can check out the public project registry where community shares full projects they've built You can go ahead and clone any one you like to your account, as well as share a project of your own! https://edgeimpulse.com/projects/all
Comment linking /projects/all
on “TinyML: Ultra-low power machine learning”Submitted Some More Weird Tricks to Shrink Convolutional Networks for TinyML as a story · 3 points
HN discussionI had the opportunity to work on TinyML, it's a wonderful field! You can do a lot even with very small hardware. For example, it's possible to get real-time computer vision system with an esp32-s3 (dual-core XTensa LX7 @ 240 MHz cost like 2$), of course using the methods given in the article (Pruning, Quantization, Knowledge distillation, etc.). The more important thing is to craft the model to fit as much as possib…
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on “TinyML: Ultra-low power machine learning”Submitted Make deep learning models run fast on embedded hardware as a story · 3 points
HN discussionIt's great to see TinyML at the top of Hacker News, even if this is not the best resource (unsure how it got so many upvotes)! TinyML means running machine learning on low power embedded devices, like microcontrollers, with constrained compute and memory. I was supremely lucky in being around for the birth of this stuff: I helped launch TensorFlow Lite for Microcontrollers at Google back in 2019, co-authored the O'R…
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on “TinyML: Ultra-low power machine learning”Submitted Take a Deep Breath: SpiroMask uses consumer masks for lung health monitoring as a story · 2 points
HN discussionAnother take from us at Edge Impulse at explaining TinyML / Edge ML in our docs: https://docs.edgeimpulse.com/docs/concepts/what-is-embedded-... We have built a platform to build ML models and deploy it to edge devices from cortex M3s to Nvidia Jetsons to your computer (we can even run in WASM!) You can create an account and build a keyword spotting model from your phone and run in WASM directly https://edgeimpulse.…
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on “TinyML: Ultra-low power machine learning”Submitted Eon Tuner: AutoML for constrained devices that also does DSP as a story · 2 points
HN discussionPretty awesome project really! As a sidenote: A bunch of the ML training and edge deployment magic is done via https://edgeimpulse.com which seems to make it much more accessible to build such a thing.
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on “A 13-year-old used my artificial nose to diagnose pneumonia”Submitted Edge Impulse raises $15m Series A as a story · 2 points
HN discussionThat's definitely not our intention: the output of all Community projects is by default Apache 2.0 licensed, unless the developer specifies a different one. The community plan does have commercial use restrictions; it's designed for education, demos, and research. We have a pretty good presence in the academic community with tons of papers, code, and projects developed using our community version. Here's a Google Sc…
Comment linking /projects/overview
on “SIMD-accelerated computer vision on a $2 microcontroller”Submitted Our Research Team Developed a More Efficient Audio Embedding Model as a story · 1 points
HN discussionIf you're interested in this stuff and wanna try it yourself, check out our product, Edge Impulse: https://edgeimpulse.com/ai-practitioners We work directly with vendors to perform low level optimization of deep learning, computer vision, and DSP workloads for dozens of architectures of microcontrollers and CPUs, plus exotic accelerators (neuromorphic compute!) and edge GPUs. This includes ESP32: https://docs.edgeim…
Comment linking /ai-practitioners
on “SIMD-accelerated computer vision on a $2 microcontroller”Submitted AI Explainability with Grad-Cam: Visualizing Neural Network Decisions as a story · 1 points
HN discussionFor anyone interested in getting their toes wet with deploying ML on small embedded devices, I cannot overstate how amazing Edge Impulse is ( https://edgeimpulse.com ).
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on “Quantization and Deployment of Deep Neural Networks on Microcontrollers”Submitted AI at the Edge eBook as a story · 1 points
HN discussionEdge Impulse - embedded (Tiny) ML GitHub-like platform. Just incredible. ( https://edgeimpulse.com ) OnlineTown - Well executed spatial chat with a playful videogame interface. I think they've been posted about on here before. ( https://theonline.town ) Neosensory (ok, it's a company I co-founded) - we do consumer sensory augmentation. Our first product, Buzz, is a haptic sensory substitution wristband that translat…
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on “Ask HN: What companies are you excited about?”Submitted Edge Impulse Announces Series B Funding, Edge ML for Developers Everywhere as a story · 1 points
HN discussionIt's a great feeling to see a cool robotics project on the front page of Hacker News and realize they used your software ( http://edgeimpulse.com ) to train the machine learning component! Congratulations to the authors. Now I better stop reading HN and get back to work :D
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on “Glewbot scales buildings like a gecko to inspect wall tiles”Submitted Edge Impulse raises 34M$ Series B to bring ML to embedded devices as a story · 1 points
HN discussionSubmitted Build a keyword spotting model with your own voice and keyword in 30K RAM as a story · 1 points
HN discussionSubmitted Computer vision on microcontrollers with ~100 photos with transfer learning as a story · 1 points
HN discussionSubmitted Ethical ML and Culture Are More Important Than Ever as a story · 1 points
HN discussionSubmitted Audio-based Shower Timer with Machine Learning and WebAssembly as a story · 1 points
HN discussion