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Omail, a Simple, Custom MUA

Hacker News

Omail, a Simple, Custom MUA

I've been fed up with bloated applications, always-on webmails, unintelligible TUIs with cryptic configuration so I built my own. It rests on the shoulders of giants that do all the work, and is basically some ~300 lines of glue to assemble them as I see fit. It's also an expression of a trend I want to see that goes the opposite direction of usual software practices: very small software made of handmade scripts and orthogonal pieces, such that I can understand it all and build it the way I want. It doesn't do much, but it does exactly what I want the way I want it.

Visit productView on Hacker NewsJan 15, 2024
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Actual performance

1points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
73%73% 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: io · Missing: https docs, excited, just released
52%52% 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 · Strong signals: way · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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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