Emery – Personal productivity workspace

Hacker News

We're building an app that helps people manage their schedule, tasks and notes all in one place. The goal is to create a workspace, where people can manage their various priorities, both personal and professional, see a single schedule combined of all their calendars and manage their days without switching between multiple apps. At the moment we've implemented Google calendar synchronisation, basic tasks and notes. Also Emery has some things we really wanted to see in other apps – private notes for meetings, categories that can be used to group tasks/notes/meetings together, weekly productivity reports. Happy to hear any feedback and answer any questions!

Visit product View on Hacker NewsAug 1, 2022

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Actual performance

261points

176comments

Made the leaderboard

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, single · 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.

TrustMRRFits verified-revenue profile · Strong signals: personal, apps, google · Missing: mobile apps, ios, entrepreneurs

72%72% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

51%51% 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

38%38% 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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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