Audn.AI

TrustMRR

Audn automates external black-box penetration testing for AI companies and enterprises. Existing cyber models are trained mostly on open-source data, while the highest-risk vulnerabilities now sit in

Audn automates external black-box penetration testing for AI companies and enterprises. Existing cyber models are trained mostly on open-source data, while the highest-risk vulnerabilities now sit in closed-source production systems like binaries, public endpoints, network misconfigurations, AI behaviours. We have early pentester usage and a paid pilot with a YC S25 voice AI startup that generated revenue tied to a retailer contract.

Visit product View on TrustMRRAug 21, 2025Artificial Intelligence Software B2B

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Actual performance

87customers

$21,625MRR/mo

Made the leaderboard

Traction signals

Domain Rating10

MRR growth 30d+125.7%

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, open · Missing: mac, agents, macos

88%88% 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.

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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

32%32% predicted probability of success on BetaList, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit

31%31% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Correct prediction on native model

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