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A VS Code extension to visualise Rust logs in the context of your code

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A VS Code extension to visualise Rust logs in the context of your code

We made a VS Code extension [1] that lets you visualise logs and traces in the context of your code. It basically lets you recreate a debugger-like experience (with a call stack) from logs alone. This saves you from browsing logs and trying to make sense of them outside the context of your code base. We got this idea from endlessly browsing traces emitted by the tracing crate [3] in the Google Cloud Logging UI. We really wanted to see the logs in the context of the code that emitted them, rather than switching back-and-forth between logs and source code to make sense of what happened. It's a prototype [2], but if you're interested, we’d love some feedback. --- References: [1]: VS Code: marketplace.visualstudio.com/items?itemName=hyperdrive-eng.traceback [2]: Github: github.com/hyperdrive-eng/traceback [3]: Crate: docs.rs/tracing/latest/tracing

Visit productView on Hacker NewsApr 19, 2025
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, context, visual · 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.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
45%45% 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
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
42%42% 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
15%15% 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.

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