WinterMute Local-first OSINT workbench with native Tor and AI analysis

Hacker News

Desktop app for OSINT and darknet investigations. Everything runs locally on your machine, no evidence is sent to the cloud. Built-in Tor browser lets you access .onion sites directly from the workbench without juggling separate tools. An AI copilot can analyze screenshots and web pages as you work. Every piece of evidence gets SHA-256 hashed with a tamper-evident custody chain so your collection holds up. IOC tracking across cases with automatic cross-case correlation to link shared infrastructure between investigations. STIX 2.1 export and MITRE ATT&CK mapping for structured reporting, currently only available on macOS.

Visit product View on Hacker NewsFeb 25, 2026

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

77%77% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting

63%63% 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

42%42% predicted probability of success on AppSumo, 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

32%32% 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 · Strong signals: para · Missing: mobile apps, ios, personal

28%28% 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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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