Emery – Personal Productivity Workspace

Hacker News

We're building an app that helps people manage their schedules, tasks, and notes all in one place. The goal is to create a personal workspace where people can manage their days and weeks on a single screen, set their personal and professional priorities, access a single schedule combined of all their calendars, and navigate through their days without switching between multiple apps. At the moment, we've implemented bi-directional Google calendar synchronisation, various types of tasks (e.g. daily, weekly, "until done"), and basic note-taking functionality. Also, Emery has some things we really wanted to see in other apps – private notes for meetings, group editing of overdue tasks, categories that can be used to group tasks/notes/meetings together, and weekly productivity reports. Currently, it's a web app for desktop. A standalone desktop app is coming soon. Happy to hear any feedback and answer any questions!

Visit product View on Hacker NewsOct 12, 2022

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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

66%66% 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

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive

34%34% 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

16%16% 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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