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Emery – Personal Planner

Hacker News

Emery – Personal Planner

We're building an app that helps people organize their days and weeks. In a nutshell, it's a workspace that combines tasks, notes, and calendar events. Emery users can see their days and weeks on a single screen, manage their personal and professional tasks, access a single schedule of all their calendars, and navigate through their days without switching between multiple apps. What we've built so far: - A web app for desktop (standalone is coming soon) - Bi-directional Google calendar integration (including multiple accounts) - Daily and weekly planning screens with extensive usage of drag'n'drop - Time blocking for tasks - Different types of tasks – daily, weekly, "until done" - Basic note-taking functionality Also, Emery has some things we always wanted to see in other apps – private notes for meetings, group editing of overdue tasks, categories to group tasks/notes/meetings together, and weekly productivity reports. What's cooking: - Recurring tasks - Standalone desktop app (trying Tauri) Coming later: - Outlook integration - Mobile apps Happy to hear any feedback and answer any questions!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, user · Missing: mac, agents, macos
92%92% 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: mobile apps, personal, apps · Missing: ios, entrepreneurs, video
67%67% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
64%64% 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, including · Missing: https docs, excited, just released
39%39% 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 · Strong signals: soon, users · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: recurring · Missing: arr, mrr, revenue
21%21% 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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