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Kernel – Modular and sandboxed Discord bot framework

Hacker News

Kernel – Modular and sandboxed Discord bot framework

We've built an open-source Discord bot framework called Kernel that focuses on modularity, security, and developer control. Key features: * Plugin-based architecture: Load/unload/update modules dynamically from remote Git repos using slash commands. * Firejail sandboxing: Isolate each bot runtime in a secure Linux sandbox. * Self-updating: Both the framework and its modules support updates via slash commands. * Built with interactions.py (Python 3.13). Commands: * /kernel module load/unload/info/list/update * /kernel debug reboot/export/download * /kernel review info/update Tech stack: * Python 3.13 * Firejail * PM2 (for process management) * Slash command support via Discord API GitHub: [ https://github.com/Discord-Agora/Kernel ]( https://github.com/Discord-Agora/Kernel ) Quickstart: clone + pip install + run.sh We're building this for Discord bot developers who want more control, better security, and a plugin-first workflow. We’d love your feedback, thoughts, or contributions. Happy to collaborate or help others build on top of it!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos
70%70% 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
55%55% 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
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
40%40% 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
34%34% 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
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: collaborate · 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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