Pryingdeep – The new OSINT instrument for the Deep Web

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PryingDeep is a dark web OSINT tool. It specializes in extracting information depending on modules chosen. Here's an overview of the features: - Email, PhoneNumber, Wordpress search - PGP keys, Certificates and 3 different cryptocurrencies (XMR,BTC,ETH) search - PostgreSQL database, docker container for Tor and docker-compose for the whole project - A built in exporter, currently only JSON, but possibly more. - Exporter has support for: offset, limit, query building via the command line, raw-sql and different modules you can specify, e.g you only want emails, you will only get emails and the html webpage - Collects title, status_code, body and headers from a webpage. - Extremely customizable, supports multiple url's at once, based of the goColly framework which gives the crawler many options, e.g Debugger, allowed-domains or url-filters. - Built install module, so there's no need for manually grabbing our config from github. - Choice to remember previous parameters with our save-config flag. - Built in queue and once reached max size, crawler will automatically exit. That's a short overview, but there will be many more features to come as I enjoy working on this project!

Visit product View on Hacker NewsDec 11, 2023

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

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: dock, new, email · Missing: mac, agents, macos

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

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

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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