Emery – Minimalist daily planner for reducing context switching

Hacker News

Hello HN! We’re a team of three and want to share Emery, a daily planner we built because context-switching between task managers, note apps, and calendars was killing our productivity. The core idea is simple: one clean interface where your tasks, notes, and calendar events live together naturally. Zero-friction start: No auth required, no quizzes or questions Calendar: Built-in calendar + Google/Outlook integration (premium) Integrated Collections: Tasks, notes and events grouped in a single view Open core model: Core features free forever! Premium account unlocks unlimited tasks, notes, events and calendar integrations Cross-Platform - Web, iOS, and Android with instant sync Main tech Stack: React, Firebase and Capacitor. We’re using Emery daily and would love to hear your feedback. Web: https://emery.to iOS: https://apps.apple.com/gb/app/emery-to-to-do-calendar/id6451... Android: https://play.google.com/store/apps/details?id=to.emery.app

Visit product View on Hacker NewsFeb 17, 2025

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, apple, google · Missing: mac, agents, macos

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

34%34% 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 · Missing: arr, mrr, revenue

20%20% 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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