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Horcrux, a Mac app to back up or move your IMAP emails

Hacker News

Horcrux, a Mac app to back up or move your IMAP emails

Hi, Creator here. I'm sort of reposting the same thing from about 208 days ago. The first version kinda sucked. I guess this is my first lean not-really-a startup experience. The new version is much better. http://thehorcrux.com/why-i-built-horcrux-app/ Let me know what you think, Here are some promo codes: 97HNR6HW4EPH K9R7KTWPTJJ6 WPM3MK4WXNHY 3P7N9RNPF4M4 3N49NP9P7TR6 Cheers, Suhas Sharma

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Actual performance

54points
20comments
Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, new, email · Missing: agents, macos, agent
66%66% 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
63%63% predicted probability of success on Indie Hackers, 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
40%40% 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 · Missing: plus, platform, intuitive
37%37% 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
31%31% 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
22%22% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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