Dimetric
Cloud native geospatial infrastructure for developers
We help developers build complex geospatial applications by providing developer-friendly APIs for uploading/managing spatial data and industry-standard protocols/formats for publishing it.
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Launch Intel predictions
Analyze your own launch →82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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Run Crawlee and Apify Scrapers on your own infrastructure.