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PartFinder gives manufacturers part-level supply chain risk intelligence. Upload a BOM or parts list, score every component's risk, see geographic exposure, shortage signals, lead-time volatility, find alternates, compare specs, and send request for quotes - all from one platform. Most teams discover supply issues when shipments fail. PartFinder helps them act earlier.
Hey Product Hunt! 👋
I'm Jeffrey, co-founder of PartFinder.
We built PartFinder because manufacturers still manage critical sourcing decisions across spreadsheets, supplier portals, PDFs, emails, and outdated systems. That works fine until one part breaks the whole plan.
A small sensor, PCB, or motor controller gets delayed. Lead time jumps from 8 weeks to 22 weeks. A supplier is concentrated in one risky region. A tariff hits. A shortage starts. But by the time the team realizes what happened, production is already exposed.
We both saw that problem, from different angles.
I came from a risk management background at Morgan Stanley, where risk is modeled, monitored, and acted on before losses happen. But in manufacturing, teams often don't have the same part-level risk visibility.
My co-founder @OlivierBuilds saw the pain directly while building hardware. Validating one alternate part took weeks and created real cost, delay, and sourcing risk. Olivier is an AI systems architect leading PartFinder’s technical build, with semiconductor engineering experience from Cirrus Logic.
So we asked: why can't manufacturers upload a BOM or part list and instantly know which parts are risky, why they are risky, and what to do next?
That became PartFinder.
PartFinder gives manufacturers part-level supply chain risk intelligence. Upload a BOM or parts list and PartFinder:
- Scores every component's risk and maps geographic exposure
- Flags shortage signals and lead-time volatility
- Finds alternates and compares specs side by side
- Lets teams send RFQs directly from the platform
What changed while building this:
At first, we thought this was mainly a part search problem. But after 100+ conversations with manufacturers, procurement teams, engineers, and operators, it became clear the bigger pain was not just "where can I find this part?" It was:
- Which parts are exposed?
- Why are they risky?
- What alternates are actually usable?
- Who should we contact?
- How fast can we act before production gets stuck?
So PartFinder evolved from a sourcing tool into a risk-to-action platform.
Our goal is simple: help manufacturers find supply issues before shipments fail, costs rise, or production stops.
We’re excited to share PartFinder with the Product Hunt community today.
We’d love feedback from anyone working in hardware, manufacturing, procurement, engineering, supply chain, or industrial AI:
- What would make this most useful for your team?
-What risk signals should we prioritize next?
- How do you currently track part-level supply risk?
We’ll be here all day reading comments and answering questions.
Find us at partfinder.dev or follow @partfinderdev on X.
— Jeffrey & Olivier
Congrats on the launch, Jeffrey. Out of all the products I’ve been browsing on Product Hunt lately, this is probably the most unique one I’ve seen. I keep up with the news a lot, so the idea of connecting world events to part-level supply risk is genuinely interesting.
I’m not a manufacturer or part of this industry, so I’m not going to pretend I fully understand what every score means. But looking at the report flow, I was curious how you handle that moment where a user sees a moderate or high-risk part and has to decide what to do next.
Do users usually know when a score is serious enough to act on, or do they need more guidance on whether to review alternates, generate an RFQ, or just keep monitoring the part?
This is the kind of tool teams only realize they needed after a supplier issue blows up production 😅
Having risk scoring, alternates, and RFQs in one place makes a lot of sense.
Wow, this is super impressive. I'm curious where you're getting the disruption feed from and how that's calculated into the risk of every individual part.
Interesting idea, curious how you’re defining “risk” for each part. Beyond stock and lead times, what else are you looking at to decide when a part might become a problem?
Hi everyone, I’m Olivier, co-founder of PartFinder and leading the technical build.
My background is in AI systems architecture and engineering, with experience across semiconductor and industrial projects. I’ve personally felt how painful and fragmented part sourcing can be, especially when specs, suppliers, lead times, and compatibility details are scattered across different tools.
Building PartFinder pushed me to solve real orchestration problems: chaining AI models, web scraping, and distributor APIs into a pipeline that self-heals when sources fail, while keeping results fast and accurate.
Super excited to launch PartFinder today and share what we’ve been building. Looking forward to interacting with everyone, hearing your feedback, answering questions, and learning from the Product Hunt community.
About PartFinder on Product Hunt
“Spot supply chain risk before it hits”
PartFinder was submitted on Product Hunt and earned 54 upvotes and 15 comments, placing #24 on the daily leaderboard. PartFinder gives manufacturers part-level supply chain risk intelligence. Upload a BOM or parts list, score every component's risk, see geographic exposure, shortage signals, lead-time volatility, find alternates, compare specs, and send request for quotes - all from one platform. Most teams discover supply issues when shipments fail. PartFinder helps them act earlier.
PartFinder was featured in Hardware (11.4k followers), Artificial Intelligence (469k followers) and Data & Analytics (5.6k followers) on Product Hunt. Together, these topics include over 100.7k products, making this a competitive space to launch in.
Who hunted PartFinder?
PartFinder was hunted by Jeffrey Porter. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how PartFinder stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jeffrey Porter