PartGenie

We built PartGenie because hardware engineers and procurement teams still spend too much time searching for components, reading long datasheets, comparing alternatives, and checking BOM risks manually. PartGenie brings these workflows together with AI — helping teams search components using natural language, analyze datasheets, identify suitable alternatives, and review BOM lifecycle and sourcing risks in one place. Our goal is simple: make hardware component research and sourcing faster, more reliable, and easier for engineering teams.

PartGenie looks especially useful for hardware teams dealing with component selection and sourcing risks. I like the combination of natural-language component search, datasheet analysis, and BOM health checks. The EOL and alternative-part detection could be particularly valuable when engineers need to redesign around obsolete or hard-to-source components. https://zemneo.com/

This is actually pretty useful for anyone who has spent hours digging through datasheets just to find one decent replacement part. The natural language search and BOM risk checks sound especially handy when you’re dealing with old or hard-to-source components. I also like that it doesn’t stop at finding a part. Being able to check alternatives, EOL status, and sourcing risks before starting a build can save a lot of headaches later. I’d definitely give this a try on my next hardware project.

Pin-compatible and functional alternatives are very different risks - one matters mid-layout, the other mid-BOM-review - so the thing I'd want to trust most is whether the ranking keeps them apart. Does it label them separately, and is the pin compatibility read off the datasheet pinout or inferred from spec overlap? For EOL work that's the difference between a suggestion and something you can act on.

Natural-language part search is nice, but BOM Health is the feature I'd actually use. Catching EOL and sourcing risk before design-in is cheaper than finding it after a board spin. Pin-compatible alternatives

BOM analysis becomes much more actionable when sourcing data has a freshness signal. Does PartGenie show when lifecycle and availability data was last updated, and can teams lock an approved alternative set for later redesign reviews?

Really interesting idea. Combining natural-language component search with comparisons and BOM management could save hardware teams a lot of time. The alternative-part finder is especially useful. Great work!

This is actually pretty useful for anyone who has spent hours digging through datasheets just to find one decent replacement part. The natural language search and BOM risk

PartGenie Your product has strong potential, but I found a few key improvements that could make it even better. I'd love to share my feedback and suggestions—please contact me at [email protected].

So I spent the past year building the version I actually wanted. No signup, no email collection, no registration, no ads on any plan including the free one. You make a poll, share a link, and nobody has to create anything. Not you, not the people answering. Everyone tells me I need to collect emails for this to work and they're probably right. But I get enough email already and I didn't want to be another thing in someone's inbox.

I like the direction PartGenie is taking here. The real value seems to be in reducing the time spent going back and forth between component databases, datasheets etc. Being able to describe what you need in plain language and then compare suitable parts or alternatives could make the early stages of hardware development significantly more efficient. Definitely an interesting tool to keep an eye on.

The component sourcing problem is real and gets worse the more specialized your hardware becomes. Most teams end up with ad-hoc processes: one person knows vendor relationships, another has spreadsheets of part numbers, someone else manages the compliance angle. By centralizing this around natural-language search and automating the datasheet pulling + BOM analysis, you eliminate a huge source of friction. The EOL detection is the underrated piece here - catching end-of-life parts early prevents entire redesigns downstream. If the 22M component database actually stays current and the natural language search works reliably across different part number formats, this becomes the default tool instead of a specialized solution.