Use email as Web Portal

Hacker News

I want to do as many things as possible in email, which is simple and cross platform. So I built Snipek: http://snipek.com Basically, you send command to i@snipek.com, and Snipek replies to you the things you request for. It's just like browsing a web portal (e.g., reddit, yahoo, ...), where there are many channels (e.g., news, sports, tech, ...). So, with Snipek, you can do these things right in your mailbox: - Read Yahoo news, TechCrunch, hacker news, reddit, and re/code. - Read well-formatted articles from any web page. - Use twitter. - Check stock price, and weather. - Take notes, and mange notes. Of course, it's not perfect. There are bugs and lack many functionalities. But I use it everyday myself and keep improving day by day. Just want to simplify life in my mailbox.

Visit product View on Hacker NewsFeb 19, 2014

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

88%88% 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: new, email, notes · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

47%47% 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

37%37% 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.

Incorrect prediction on native model

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