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Material Lab
Agentic tool for optimal material selection (ATOMS)
Instantly Find the Perfect Material for Your Engineering Project Save hours of material research. Get ranked material recommendations with trade-off analysis in 30 seconds. Find property constraints, material costs, molecular composition, and top US suppliers in an instant.
The idea came from something I kept watching unfold while leading the development of an autonomous delivery vehicle as founder and CEO of Udelv, Inc. Our mechanical engineers routinely spent tens of hours trying to pick the right material for vehicle parts — and often defaulted back to the handful they already knew. With over 150,000 engineering materials out there (composites, alloys, resins, ceramics, polymers), comparing them exhaustively is tricky. Defaulting to familiar materials quietly makes products heavier, pricier, more complicated to manufacture and less durable than they need to be.
So I started building an AI tool to address the issue. Materiallab.ai lets engineers describe what they need in plain language and filter by numerical property constraints, combining semantic understanding with hard engineering data to surface materials they'd otherwise miss.
What began as an internal tool for one team has become something I want every engineer to have. Whether you design EVs, medical devices, aerospace parts, or kitchen appliances, you shouldn't need to know all 150,000 materials to pick the right one.
Would love your feedback — try it at materiallab.ai.
About Material Lab on Product Hunt
“Agentic tool for optimal material selection (ATOMS)”
Material Lab was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #138 on the daily leaderboard. Instantly Find the Perfect Material for Your Engineering Project Save hours of material research. Get ranked material recommendations with trade-off analysis in 30 seconds. Find property constraints, material costs, molecular composition, and top US suppliers in an instant.
On the analytics side, Material Lab competes within Productivity, Artificial Intelligence and Tech — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Material Lab performed against the three products that launched closest to it on the same day.
Who hunted Material Lab?
Material Lab was hunted by Daniel Laury. 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.
For a complete overview of Material Lab including community comment highlights and product details, visit the product overview.
Daniel Laury