Mailinator Generator – A Simple Chrome Extension for Temporary Emails

Hacker News

Hey HN! I just released Mailinator Generator, a lightweight Chrome extension that makes it easy to generate and use temporary Mailinator email addresses. It's designed to protect your primary inbox from spam when signing up for websites, coupon codes, newsletters, or free trials. Features: - Right-click to instantly generate a random Mailinator email and automatically fill it into forms. - Keeps track of where the emails were used (URLs), so you can easily revisit those sites. - One-click access to Mailinator inboxes for each email. - No data collection or third-party tracking—everything runs locally in your browser. - If you're like me and use throwaway email addresses to avoid spam, this extension could save you time! Also on GitHub: https://github.com/MazeWebArchitect/mailinator-generator-chr... Happy to hear your feedback and suggestions!

Visit product View on Hacker NewsOct 12, 2024

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71%71% predicted probability of success on AppSumo, 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

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

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

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

54%54% 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: way · Missing: mobile apps, ios, personal

39%39% 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

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

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

Incorrect prediction on native model

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