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resvg – a better SVG rendering library

Hacker News

resvg – a better SVG rendering library

resvg [1] is an SVG rendering library that aims to replace librsvg and QtSvg. It supports multiple backends and designed for edge-cases. It doesn't support all SVG features yet, but it's already has the best support for edge-cases [2]. In the latest release, I've added a Windows Explorer extension [3] which can be used to render SVG thumbnails via resvg . Previously, the only solution was to use SVG Viewer Extension for Windows Explorer [4] which use Qt4 SVG module, which is very primitive and outdated. [1] https://github.com/RazrFalcon/resvg [2] https://razrfalcon.github.io/resvg-test-suite/svg-support-ta... [3] https://github.com/RazrFalcon/resvg/releases [4] https://github.com/maphew/svg-explorer-extension

Visit product View on Hacker NewsJan 4, 2019

Actual performance

5points

1comments

Did not reach leaderboard

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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

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

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

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

26%26% predicted probability of success on Product Hunt, 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.

Correct prediction on native model

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