Loadjitsu – a modern load testing alternative to JMeter

Hacker News

Please meet Loadjitsu, my weekend project, years in the making. Over the years while building different apps and sites, I always felt that I need a modern load testing software.Tools like JMeter, ab are not very easy to use and it seems innovation in load testing which is a crucial part of any software release cycle has been ignored. This is my third attempt at making Loadjitsu, I am so glad that I can finaly release this. A bit more about the software 1. Powered by golang you can run load tests for tens of thousands of connections per second on very average hardware. 2. Cross platform, run it on Windows or Mac or host it on your linux machines 3. Lets you load test databases like MySQL, PostgreSQL, Mongodb out of the box. 4. Will keep adding more load testing targets in the future (even the more esoteric ones) I hope to open source Loadjitsu soon and let users contribute new targets. Hope this makes load testing fun again

Visit product View on Hacker NewsJan 21, 2022

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

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

80%80% predicted probability of success on Product Hunt, 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

73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: apps, users, way · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, soon · Missing: plus, intuitive, reviews

28%28% 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

18%18% 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.

Correct prediction on native model

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