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Made a plugin for Gulp to complie SASS 8x faster

Hacker News

Made a plugin for Gulp to complie SASS 8x faster

Sass plugin for Gulp utilizing the speed and performance of Grass rust library to compile SASS to CSS 8x faster than gulp-sass with dart-sass. Built this for myself to replace dart-sass for on-fly compilation. On 98KB CSS it reduced compile time from 900ms to 100ms. All kudos to Grass rust library developer @connorskees Many kudos to NAPI-RS developers I wrapped it for daily use in Visual Studio to compile SASS in my htmx+dotnet projects

Visit productView on Hacker NewsJun 18, 2024
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Actual performance

1points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: visual · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
48%48% 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
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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