Spart – A Rust library for fast spatial search with Python bindings

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Hi everyone, I've made an open-source library for fast spatial search in Rust. It's called Spart, and it currently provides the following features: - Five tree implementations: Quadtree, Octree, Kd-tree, R-tree, and R*-tree - Python bindings (`pyspart` on PyPI) - Fast k-nearest neighbor (kNN) and radius search - Bulk data loading for efficient tree construction Project's GitHub repo: https://github.com/habedi/spart

Visit product View on Hacker NewsAug 25, 2025

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

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos

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Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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