Kira – a fast and scalable code execution engine

Hacker News

Greeting HN, I would like to present my project I've been worked on the several months. I was always fascinated by code execution products like Codespaces or Leetcode. That's why I've created kira. It is a fast and scalable general purpose remote code execution engine. Currently, kira is in its early stage, and there is a lot of potential. I am constantly trying to work on this project and improve it. Security is critical for remote code execution. That's why, kira is running in a sandboxed environment and the code gets executed as a separated user. Additional security limits are applied to the user that runs the code, such as memory, or file size. Feel free, to give me feedback in any way! Thank you :) The main ideas for this project: * Fast and secure remote code execution engine that is scalable * Logging of the code executions * Test runner that executes custom unit tests (for building something like leetcode) * Future: custom docker environments to have long-term projects

Visit product View on Hacker NewsNov 13, 2022

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

83%83% 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: user, dock, code · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

51%51% 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: month, way, para · Missing: mobile apps, ios, personal

34%34% 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

30%30% 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

17%17% 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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