A simple disposable email service – TemporaryMail.com

Hacker News

TemporaryMail.com was created after struggling to find a working, secure and reliable service which provides temporary email addresses. The goal is to keep this service as simple to use as possible - while also always providing a free option which does not require registration. Some of the features: - Multiple domains to choose from, each with unique hostnames and IPs. - Support for inline images in emails. - Attachments are supported and can be downloaded. - Read your emails safely inside a sandbox (all external scripts disabled). - Read emails without automatically loading any external resources (you will first have to click on them and accept the dialog box). Feel free to have a look at the demo email: https://temporarymail.com/#demo@easyonlinemail.net Any feedback, question or bug report is greatly appreciated.

Visit product View on Hacker NewsDec 28, 2020

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best fitHighest predicted score across all platforms for this description.

AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive

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

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

41%41% 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

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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