Jsmarka.com – JavaScript code-performance benchmarker

Hacker News

I would like to use this mediun to announce an open source project i've been working on, http://jsmarka.com - a JavaScript code performance benchmarking app...it helps in testing the performance of your JavaScript code, built with the benchmark.js library. Jsmarka is basically just like jsPerf, but with a much better UI/UX, its available on github http://github.com/kodejuice/jsmarka , open to contributions...its still in it's early stage, some features are missing and 'would so much appreciate contributions from Open Sourcerers, feedbacks are highly welcome.

Visit product View on Hacker NewsNov 10, 2017

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

83%83% 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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

56%56% 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

40%40% 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

39%39% 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

14%14% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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