vectorvector – CLI for Contour Lines and Hillshade Generation

Hacker News

I’ve built vectorvector, an open-source CLI tool for working with elevation data. Key features: * Generates contour lines (vector), hillshade tiles (raster), and terrarium tiles (raster elevation) * Processes the entire planet in ~7 hours on consumer hardware * Algorithms: Marching Squares for contours, Horn for hillshade, and Ramer–Douglas–Peucker for line simplification Benchmarked on a MacBook Pro (M2, 64 GB RAM). Output is customizable and aimed at developers and GIS enthusiasts. Would love to hear your thoughts and feedback! Repo: https://github.com/greensopinion/vectorvector

Visit product View on Hacker NewsDec 31, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, open · Missing: agents, macos, agent

78%78% 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.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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