Wut – a CLI that explains the output of your last command with an LLM

Hacker News

Just type wut and an LLM will explain whatever's in your terminal. You’ll be surprised how useful this is. I use it mainly to understand and debug stack traces, but there are a bunch of other use cases: - Deciphering error codes - Fixing incorrect commands - Summarizing logs You can connect wut to OpenAI, Anthropic, or a local model via Ollama. I hope y’all find this as helpful as I do!

Visit product View on Hacker NewsDec 19, 2024

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

90%90% 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: llama · Missing: https docs, excited, just released

56%56% 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

48%48% 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

33%33% 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

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

14%14% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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