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Products that do what LoadStrike does
Test complete transactions. Start from real traces!
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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…
2022 · loadjitsu.com
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Hi all, I'm excited to announce Stratoshark, a sibling application to Wireshark that lets you capture and analyze process activity (system calls) and log messages in the same way that Wireshark lets you capture and analyze network packets. If you would like to try it out you can download installers for Windows and macOS and source code for all platforms at https://stratoshark.org. AMA: I'm the goofball whose name is at the top of the "About" box in both applications, and I'll be happy to answer any questions you might have.
2025 · stratoshark.org
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Hi everyone, I recently published a small open-source project. It’s a minimal network packet analyzer written in Go — designed more like a learning toy than a replacement for Wireshark. It currently supports parsing basic protocols like TLS, DNS, and HTTP, and includes a tiny fuzzing engine to test payload responses. You can inspect raw packet content directly from the terminal. The output is colored for readability, and the code structure is kept simple and clear. The entire program is very small — just about 400 lines of Go code. I know it’s not anywhere near Wireshark’s level, and I still…
2025 · github.com
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I built BuzzBench because I was frustrated with how complex performance testing tools have become. And I was ending up writing my own scripts to test endpoints and manually check out resource usage at the time of testing. Checkout demo: https://www.youtube.com/watch?v=yAnbZMoQvmQ
2025 · buzzbench.io
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Hey! We are presenting CodeTracer - a user-friendly time-traveling debugger designed to support a wide range of programming languages: https://github.com/metacraft-labs/codetracer?tab=readme-ov-f... CodeTracer records the execution of a program into a sharable self-contained trace file. You can load the produced trace files in a GUI environment that allows you to move forward and backward through the execution and to examine the history of all memory locations. They say a picture is worth a thousand words — well, a video is even better! Watch the demo below to see…
2025 · github.com
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Loadster▲4AI-powered load testing & vulnerability scanning in one app
Jun 2026 · loadster.softority.com
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[I'm the author] Spall is a web-accessible profiler that I made to help my web-dev friends load gigabyte+ JSON traces without lunch-break-long load times. Recently, Spall got experimental support for auto-tracing with binary traces (along with an in-progress native-port, to give it more memory headroom), which was used to help track down and fix some hard-to-spot lock contention issues in the Odin-language compiler. I demoed it at the Handmade Seattle conference in October, https://guide.handmade-seattle.com/c/2022/spall/, with a head-to-head against Perfetto,…
2023 · gravitymoth.com
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2017 · loadmill.com
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Hey HN! I’m Gal, co-founder at Checksum (https://checksum.ai). Checksum is a tool for automatically generating and maintaining end-to-end tests using AI. I cut my teeth in applied ML in 2016 at a maritime tech company called TSG, based in Israel. When I was there, I worked on a cool product that used machine learning to detect suspicious vehicles. Radar data is pretty tough for humans to parse, but a great fit for AI – and it worked very well for detecting smugglers, terrorist activity, and that sort of thing. In 2021, after a few years working in big tech (Lyft, Google), I joined…
2023
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I got sick of the old software development loop: Change code -> Run tests -> wait -> wait some more -> look at failures. I decided to build a tool that will enable you to: Change code -> look at failures. No wait time, no explicit test running. Under the hood: - Runs the whole test suite and collects code coverage per test. - For each auto file save, analyzes the changes on the tests. - Runs changed tests in the background. - Display results, the loop time from change to test results is approx 250ms. Instead of: code -> alt+tab -> arrow up -> rerun all the tests -> wait ... -> test results…
2022 · github.com
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Hiya HN! Just released Artillery Probe - a Swiss army knife for testing HTTP from the CLI. Think mini-curl with better UX for common use-cases, plus a couple of extra features. Would love for you to try it and give some feedback! https://www.artillery.io/blog/swiss-army-knife-for-http-testing and: npm install artillery@latest What does it do? - First of all, it's a HTTP client! It does all the usual stuff you'd expect from a HTTP client... HTTP methods, request bodies, custom headers, forms, Basic Auth etc. - Got some JSON or XML back? It'll pretty-print it, and syntax…
2022
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There are plenty of good tools for load testing such as JMeter, Minigun, and plenty more - but they all have their own set of options to learn. I built this one to support a simpler workflow where you just paste your curl request (or other cli command) after your `spam` config (literally just `spam -r 2 -- curl www.google.com). It's pretty barebones but I'm 100% going to use it in my day to day - figured I'd share it here if it helped anyone else!
2023 · github.com
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2017 · k6.io
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Hey HN, We just shipped a new AI-powered feature... BUT the "AI" piece is largely in the background. Instead of relying on a chatbot, we've integrated AI (with strict input & output guardrails) into a workflow to handle two specific tasks that would be difficult for traditional programming: 1. Identifying the most relevant base URL from HAR files, since it would be tedious to cover every edge case or scenario to omit analytics, tracking, and other network noise. 2. Generating synthetic data for API requests by passing the API context and faker-js functions to GPT-4. The steps are broken down…
2024 · docs.multiple.dev
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2016 · goad.io
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