Anti-Anti-Debug for Firefox and Chrome

Hacker News

After some positive feedback from here [0], I've reworked my anti-anti-debug extension to also work on Firefox in addition to Chrome! I'm still waiting for the Firefox version to be signed by Mozilla, but you should be able to load it as a temporary extension until then. What does it do? Simply put, it will override a few Javascript methods to prevent websites from trying to forcefully prevent usage of the dev tools. Theres more details in the README but its generally a very simple script. Feel free to give me feedback! [0] https://news.ycombinator.com/item?id=37117338#37119944

Visit product View on Hacker NewsSep 7, 2023

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2points

3comments

Did not reach leaderboard

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

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

38%38% 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

19%19% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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