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Startup with no website - GuerillaClick@gmail.com

Hacker News

Startup with no website - GuerillaClick@gmail.com

Hey there, there are lot of disposable email services, but as I was thinking I realized 95% of the time, I don't care about my inbox. I just want to "verify my email". That's why I created a startup with no website, it's called guerillaclick@gmail.com, it's a credible domain (you don't say) and it will click on any "verify" links you send it to it. You can use aliases to get around of duplicate emails in the target system, so like guerillaclick+eralp@gmail.com guerillaclick+sdfaskdma@gmail.com guerillaclick+111@gmail.com so choose an alias and start using the service! I will provide a website to see the inbox of your alias. (maybe for services who send your pw in the email, but then you might be better off using other established servers.) Gmail API is a bit slow so it might take 30 seconds for email to be received on my end, keep in mind while testing! Best,

Visit product View on Hacker NewsFeb 6, 2019

Actual performance

288points

184comments

Made the leaderboard

Launch Intel predictions

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

79%79% 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.

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% 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

11%11% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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