LLM-Powered Sysadmin

Hacker News

Hey all, @lowcodenocode and I have developed ShellShark, an app that helps with sysadmin tasks. It's essentially an LLM "agent" that is empowered with (permissioned) access to your shell; you issue commands to it, it determines what sequence of shell commands are appropriate to run, then interactively runs them while viewing output/responding. We see this as an exciting future for sysadmin tasks. Delegate the hard/manual work of setting up/maintaining infra on large stacks, ask complex questions, etc. etc. Would love to hear folks feedback! Wait list here: https://ShellShark.sh

Visit product View on Hacker NewsMar 30, 2023

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

92%92% 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.

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

54%54% 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 · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

16%16% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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