Osint and Recon Tools in the Browser

Hacker News

Hey everyone, I've made this website that I hope can help some people. The original inspiration comes from being tired of having a specific site (and finding it!!) that serves my needs for a single purpose. Straight forward tools, no fuss. The objective is to be fully in-browser, no login and if possible without contacting a remote server. PGP Key Analyser - Analyze PGP keys directly in your browser - finally I can see the infos without having to download the key on my device Proton Date - Check ProtonMail account creation dates - pretty niche I admit Favicon Hash - Generate website favicon hashes for OSINT - very useful if you want to find other instances that run the same favicon as your target (same owner or maybe impersonators) Search Dorks - Generate search engine dorks for Shodan, Censys, Google and more (if you can't remember the query or if you're curious / need to translate between different engines) GitHub Recon - Lookup GitHub users by username or email to obtain profile details, creation dates, emails, and more (makes you realize how much GitHub loves to show infos) Metadata Viewer - Extract and view EXIF data and other metadata from images - we don't realise how much data is revealed through images metadatas... Please let me know what you think, what are the shortcomings you see and anything you'd like to see added <3

Visit product View on Hacker NewsMar 25, 2025

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

84%84% 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

65%65% 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

53%53% predicted probability of success on AppSumo, 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

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: google, users · Missing: mobile apps, ios, personal

33%33% 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

15%15% 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

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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