We are planning to directly integrate with fabs to place order/get quotes in the near future though
Excited to share what we have been working on for the best couple years…think of it as Devin for PCB design
Let me know if you have any questions
I stopped writing code by hand almost entirely and my output (measured in landed PRs) has been 10x
And when I write code myself then it’s gnarly stuff and I want AI to get out of my way…so I just use Webstorm
https://www.youtube.com/watch?v=JlNsPRh_x-w
Hey everyone, super excited to share with you what me and my friends have been working on with our startup.Auto Routers for PCB boards have been around since the 60s but you have probably never use one...that’s because they aren’t that good. They produce results that are hard for humans to reasons about and reviewing/debugging them takes longer than doing it yourself.We have a machine learning...
Flux.ai does that…have a look at this tutorial https://www.youtube.com/watch?v=Y56AqPOjp0k&t=366s
Flux Copilot will happily assist you going from an idea to selecting the right components all the way to manufactured board!
Our mission is to take the “hard” out of hardware
We have 240k users on the platform…hobbyists, students, small/mid sized teams to Fortune50 companies. We host millions of projects!
It’s a huge ecosystem not just of users but also semiconductor manufacturers, fab houses, etc.
Think GitHub on steroids!
And it’s the only AI first end-to-end design tool in the market…you can go from idea to research to architecture to BOM to schematic to PCB layout and then to manufacturing. Workflows that usually take months in other tools can be done in a few hours to minutes in flux.
It’s still early days though but we are moving insanely fast! So if we don’t met your teams bar today I suggest checking back in next month.
I think it’s good for more players to enter the market…EDA tooling is stuck somewhere in the 80s and we need to fix that.
It’s too expensive and risky to make hardware…and we deserve better!
FAANG’s ability to scale up compute is limited by their ability to design, test, and manufacture silicon. Every competitive AI company is working to build it’s own
Everyone is focused on making software layer more efficient, we are seeing 3-5x productivity gains
I am the founder of https://flux.ai and we are the only ones making the hardware layer more efficient, 6-15x productivity gains!
As you saw with NVIDIA’s growth, the hardware side of this is as valuable as the software side
Flux.ai is a AI first hardware design platform build for the modern age. Our mission is to take the “hard” out of hardware
LFG
Happy to answer any questions you might have
Hit me with your questions
As you provide requirements and specs via properties to your project OR by adding components (which have their own properties) you are implicitly optimizing the model towards your use case (eg Analog Audio Aerospace applications)
These requirements/specs are all in human language…so an added benefit is that you provide more documentation for your human peers too!
But in short: yes, thats how it works as of today! Our docs go into a bit more detail here.
But this space has been moving so fast that usually how it worked last week issn’t how it works this week.
You could easily imagine us leveraging fine tuned world models models on top of prompting in the near future.
Another thing to add is that we use a bunch of different models for our Copilot implementation…some popular off the shelf ones as well as some that we trained ourselves.
Thanks for the plug!
Happy to answer any questions
It’s a long road ahead
Currently in production we only support pdfs
But support for html pages is in the pipeline as is support for multiple URLs per component/project
So you could provide a datasheet, application notes plus your own notes and Flux Copilot would take all that data into consideration
A lot of you have been asking us how we ensure correctness of Copilots responses
Well here it is…citations!
Additionally you can provide your own custom data sources…so it’s not limited to datasheets but also works with application notes and anything else you might wanna provide
Hit us with questions
At https://flux.ai we are working on taking the “hard” out of hardware!
Also have a great slack based community with lots of hardware folks going
Give the LLM the ability to run the simulator and optimize the solution based on the outputs
Lots of amazing opportunities ahead
Hardware engineers get a bad rep for being stubborn when what they actual want is just good tools…and we believe they deserve them and so we are building them!
From the engineers that design the motherboard of the phone in your pocket to students and hobbyists
Use case go from learning/explanation to brainstorming, component research, figuring out the match for signal filters, to triaging of issues and so on.
It’s something we spend a lot of time thinking about. On one side we want to prevent hallucinations but on the other we want to keep the LLMs creativeness
We are experimenting with a bunch of different approaches here already
Preventing hallucinations and therefore improving correctness is fairly simple by providing the model with factual data sources which is something we are working on
The challenge is to balance that so that the model is also still creative when you want it to…but we are making progress here too
If you are interested ping us in our slack and we can add you to our beta tester channel to get access to our experiments in this space
Agree though that there is more to creating complex boards that automated wiring…we are not done here, just taking it step by step!
It’s something we are working on among other things
We are still at day one here…lots of work ahead clearly!
On simulation: we have lots more to come here but work took a bit of a back burner as we have been focusing on PCB layout recently!
On AI: just getting our feed wet…but access to our docs is in the QA pipeline here and should hopefully land soon
Let me know if you wanna hop on a call…would love to learn more details about your usecases and how we can do better
Super excited to make another big step today to democratize electronics design!
Hit me with your questions