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ZRG Mineral
AI-powered intelligence for critical mineral supply chains.
ZRG Mineral: Early warning system for critical industrial minerals — € exposure, material risk and predictive alerts up to 8 weeks before the market. Portfolio risk analysis for European procurement teams.
We built ZRG Mineral because procurement teams still rely on Excel spreadsheets and reactive compliance tools to manage critical raw material risk.
We didn't want another dashboard that shows problems after the fact. We wanted Palantir-style logic for procurement — turning complex supply chain data into actionable simulations, not more charts.
Our goal: help teams understand risks like gallium export controlsbefore suppliers fail — with predictive alerts (6–8 weeks ahead), an intelligence graph, and a substitution engine that suggests structural alternatives, not just flags.
What we've learned: procurement leaders don't need more data. They need decision-ready scenarios they can take into a planning meeting on Monday morning.
Would love your feedback — especially on how we can reduce compliance stress for sourcing teams without adding another tool to the pile.
Tried the demo and the 8-week predictive alerts actually flagged a magnesium price move that showed up in my inbox a week later, which was a nice surprise. The portfolio exposure view is clean and easy to read.
Curious how you source the data for those 8-week predictive alerts, is it mostly public trade flows and price feeds, or do you have proprietary supplier-side signals that give you the early edge?
Spent a few minutes poking around the dashboard and the 8-week early signal for cobalt really stood out — feels genuinely useful for our procurement planning rather than just another price tracker.
The 8-week lead time on alerts is honestly impressive, feels like a real edge for anyone juggling mineral supply contracts. Liked how the portfolio view breaks down exposure in a way that's actually useful during planning meetings.
Tested the dashboard with a couple of our sourcing scenarios and the 8 week alert actually flagged a magnesium oxide supply squeeze we hadn't caught. Pricing view is clean, though the currency exposure breakdown took a minute to find.
Being able to see price exposure on specific minerals before they spike would have saved my team a real headache last quarter, so this is genuinely useful. The 8 week lead time sounds ambitious though, curious how reliable those signals actually turn out to be.
About ZRG Mineral on Product Hunt
“AI-powered intelligence for critical mineral supply chains.”
ZRG Mineral was submitted on Product Hunt and earned 17 upvotes and 13 comments, placing #29 on the daily leaderboard. ZRG Mineral: Early warning system for critical industrial minerals — € exposure, material risk and predictive alerts up to 8 weeks before the market. Portfolio risk analysis for European procurement teams.
ZRG Mineral was featured in SaaS (43k followers), Artificial Intelligence (473.1k followers) and Tech (627.5k followers) on Product Hunt. Together, these topics include over 319.7k products, making this a competitive space to launch in.
Who hunted ZRG Mineral?
ZRG Mineral was hunted by Finn Niklas Zender. 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.
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Finn Niklas Zender
Hey everyone 👋
We built ZRG Mineral because procurement teams still rely on Excel spreadsheets and reactive compliance tools to manage critical raw material risk.
We didn't want another dashboard that shows problems after the fact. We wanted Palantir-style logic for procurement — turning complex supply chain data into actionable simulations, not more charts.
Our goal: help teams understand risks like gallium export controls before suppliers fail — with predictive alerts (6–8 weeks ahead), an intelligence graph, and a substitution engine that suggests structural alternatives, not just flags.
What we've learned: procurement leaders don't need more data. They need decision-ready scenarios they can take into a planning meeting on Monday morning.
Would love your feedback — especially on how we can reduce compliance stress for sourcing teams without adding another tool to the pile.