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Browser XS-Leaks and Tab crasher by domain

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Browser XS-Leaks and Tab crasher by domain

Website: https://cache.ndev.tk/ Code: https://github.com/NDevTK/CacheAttack Discord: https://discord.gg/kZPqHwg Detects browser history :D theirs also buttons like "Window mode" for Firefox users who have enabled browser.cache.cache_isolation and "Blocker" for chrome users this crashes tabs by domain name the "Youtube" button may be buggy. The network page can be used to list HTTP servers on your local network. The Gender page can be used to detect your gender using the Ad personalization cache. Unrelated but theirs also https://rickroll.ndev.tk/ which bypasses the chrome download limit to spam the user with lyrics.

Visit productView on Hacker NewsOct 23, 2020
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, using, code · Missing: mac, agents, macos
81%81% 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
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, users · Missing: mobile apps, ios, entrepreneurs
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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