Pi

Pincone – Get newsletters in one place and clean up your email inbox

Hacker News

Pincone – Get newsletters in one place and clean up your email inbox

Hi everyone, Pincone founder here! We just launched a really big update to Pincone that's been a long time in the making. Up until now, Pincone has been a great place for you to save websites and articles. It also allows you to subscribe to RSS feeds across the web. Now, it's even better with _Inboxes_! *Inboxes make it possible to receive newsletters and emails within Pincone, to an inbox of your choosing.* No more cluttering your personal or professional email accounts with dozens of subscriptions! Every inbox that you create in Pincone gets a unique email address that you can use to subscribe to one or more newsletters. I've been testing this out internally for a few months and it's just amazing. My biggest problem with newsletters is that they are intermixed with my work and personal emails. Even if I get a newsletter that I find interesting, I am usually in the middle of something else. With this release, all of those emails are in Pincone where I can catch up with them whenever I have some time. Usually on lazy Sundays morning with a cup of coffee. I would love it if you would give Pincone a try. If you have any questions, suggestions, or feedback just leave a comment below! Thanks everyone!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, inbox, email · Missing: mac, agents, macos
93%93% 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
86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs
45%45% predicted probability of success on TrustMRR, 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
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
19%19% 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.

Correct prediction on native model

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