Stratoshark, a sibling application to Wireshark

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Hi all, I'm excited to announce Stratoshark, a sibling application to Wireshark that lets you capture and analyze process activity (system calls) and log messages in the same way that Wireshark lets you capture and analyze network packets. If you would like to try it out you can download installers for Windows and macOS and source code for all platforms at https://stratoshark.org . AMA: I'm the goofball whose name is at the top of the "About" box in both applications, and I'll be happy to answer any questions you might have.

Visit product View on Hacker NewsJan 22, 2025

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

69%69% 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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, calls · Missing: plus, intuitive, reviews

47%47% 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 · Missing: web3, chat, crypto

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

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