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Bounty Prompt – AI-Powered Open Source Burp Suite Extension

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Bounty Prompt – AI-Powered Open Source Burp Suite Extension

Bounty Prompt is a Open Source Burp Suite extension developed by Bounty Security that leverages advanced AI technology integrated via Burp AI. It enables users to generate intelligent security testing prompts by analyzing selected HTTP requests and responses from various sources within Burp Suite. The extension supports a wide range of HTTP tags, allowing you to automatically include specific parts of HTTP traffic (such as headers, parameters, bodies, and cookies) in your prompts, streamlining both automated and manual penetration testing workflows.

Visit productView on Hacker NewsFeb 20, 2025
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos
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.
TrustMRRFits verified-revenue profile · Strong signals: users, para · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: supports, para · Missing: reddit linkedin, podcasting, created
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released
27%27% 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
14%14% 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
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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