Live local log viewer with automatic syntax highlighting

Hacker News

Hey, HN! I get onboarded to new projects sometimes with a bunch of local unstructured logs already set up. They come from different parts of the application at different layers - many without syntax highlighting. It's hard to make sense of things. In contrast, something like your browser's dev console allows filtering, highlighting, and inspection of "unstructured" logs. I wanted something like that for any kind of terminal output. There are some tools with a similar goal. I hope to make considerable UX improvements over those. I have a custom query language, a command palette, automatic syntax highlighting over unstructured code, and some basic chunking heuristics to combine certain logs if they're close together. It's the combination of the view and the search features that I think really makes it a helpful tool.

Visit product View on Hacker NewsApr 14, 2024

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

83%83% 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: ide, io · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

44%44% 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

39%39% predicted probability of success on TrustMRR, 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 · 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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