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Better Gmail interface

Hacker News

Better Gmail interface

This isn't exactly a Show HN as in "I made this", but more like "Hey, you should know about this". --- If you dislike new Gmail's interface, but don't want to go back to the really primitive old one, you can install Roundcube on your server, and log into Gmail with it. It has a really nice UI that's responsive (looks like this: https://i.imgur.com/7QMBMxc.png ), and it's quite a nice software in full. It's easy to setup and it sends and receives emails over IMAP and SMTP. Roundcube: https://roundcube.net/ If you're interested in how to set it up, you can comment, I'll write a post on my blog soon if there's interest...

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: interface, soon · Missing: plus, platform, intuitive
61%61% predicted probability of success on AppSumo, 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
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, email · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, 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
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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