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valueDefine
Every map, workflow and dataset in one platform
valueDefine takes spatial data from files, databases and spreadsheets, runs it through repeatable visual workflows, and publishes the results as maps, dashboards and apps.
About valueDefine on Product Hunt
“Every map, workflow and dataset in one platform”
valueDefine was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #64 on the daily leaderboard. valueDefine takes spatial data from files, databases and spreadsheets, runs it through repeatable visual workflows, and publishes the results as maps, dashboards and apps.
On the analytics side, valueDefine competes within Maps and Tech — topics that collectively have 649.5k followers on Product Hunt. The dashboard above tracks how valueDefine performed against the three products that launched closest to it on the same day.
Who hunted valueDefine?
valueDefine was hunted by Value Define. 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 valueDefine including community comment highlights and product details, visit the product overview.
Hey Product Hunt! 👋
I built valueDefine because working with spatial data — maps, districts, depots, coverage gaps — shouldn't require a GIS degree or stitching together five different tools.
With valueDefine, you connect your data (files, databases, spreadsheets), run it through repeatable visual workflows, and publish the results as maps, dashboards, and apps — all in one place.
The demo on the site shows a real use case: finding underserved fuel station districts across Uttar Pradesh, built entirely on public data.
I'd love to know:
→ What spatial or geographic analysis problem are you trying to solve?
→ What would make this more useful for your workflow?
Thanks for checking it out — excited to hear your feedback! 🗺️