Congrats on the launch! How much of the component selection pain is actually on the supply chain side? Like, engineers pick parts, but then procurement has to source them without really understanding the technical tradeoffs. Have you talked to purchasing teams about this?
Show HN: Zenode – an AI-powered electronic component search engine
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Re: Show HN: Zenode – an AI-powered electronic component search engine
#22Re: Show HN: Zenode – an AI-powered electronic component search engine
#23How does this differentiate from Digi-Key’s parametric search or Octopart’s aggregation?
Octopart is a bit of a different beast from us. They're crushing the pricing and availability data, which is actually hard to get (a LOT of business development to get access to the realtime values from the distributors themselves). Plus they have a really massive catalog, definitely broader than ours, but they don't have the depth (i.e. the detailed spec and documentation data) that we do because we went to the manufacturer websites to obtain that.
Re: Show HN: Zenode – an AI-powered electronic component search engine
#24Congrats on the launch! Toyed around a bit with the site and seems really intuitive; though I used a few of your prebuilt suggestions: "A thermal fuse rated for 75°C and 10A, An optocoupler with 1.5kV isolation, and 5V LDO with 1A output" for example and all come back as not available/no parts available. Just FYI not sure if you want the autofilled suggestions to be the ones that don't produce the results.
Re: Show HN: Zenode – an AI-powered electronic component search engine
#25When normalizing specs across manufacturers, how do you handle cases where units aren’t directly comparable (e.g., different test conditions for “low power” claims, or different temperature reference points)? That’s often where human engineers end up second-guessing the catalog data.
However, we saved all the test conditions and similar notes. Maybe we could display the conditions with the specs in the table? That way, any outlier manufacturers would jump out right away.
Re: Show HN: Zenode – an AI-powered electronic component search engine
#26Re: Show HN: Zenode – an AI-powered electronic component search engine
#27This seems to be incredibly helpful, even if it's not 100% accurate. Then again, isn't that what chatGPT is for? How should I think about Zenode vs. a more generic AI search engine?
Re: Show HN: Zenode – an AI-powered electronic component search engine
#28Re: Show HN: Zenode – an AI-powered electronic component search engine
#29Congrats on your launch! What's your moat? The big AI players are getting better at reading datasheets and providing contextual guidance and info. It seems like it won't be long until ChatGPT and others will be able to do what your tool does. Thoughts?
Yeah, Moat's are tricky in the age of AI. We think there's always room for a standalone interface in this niche sector, given the sheer amount of data that needs to get presented (with no room for hallucinations). But beyond the data curation (which is actually quite hard) and the custom UI, there's also all the tuning data to optimize for the workflows that come next, like Alternates, schematic awareness, etc. But y…
Re: Show HN: Zenode – an AI-powered electronic component search engine
#30This is awesome! Way better than DigiKey’s search.
Thanks, that's why we built it! We're big digikey fans, and have spent hundreds of hours on the site, but that doesn't mean it's without room for improvement!
The speed of the search was ok, but the AI stuff seems to take a minute. I'm not sure if I've just been spoiled by ChatGPT or if this is a product issue, but it definitely could be faster.
I like the sources that are shown in the deep dive search and the datasheet chat, but deep dive doesn't seem to be taking me to the actual page it references. I know I can just type in the page it says in the pdf viewer, but the datasheet page takes me straight there so why doesn't the deep dive source?