Em

Emery.to – daily planner for busy professionals

Hacker News

Emery.to – daily planner for busy professionals

We're building an app that helps people organise their days. It brings together tasks, calendars and notes into a single UI, so one can easily plan their day, stay focused throughout it and review results later. Some key features: Integration with Google Calendar (multiple calendars/accounts supported), daily and weekly planning screens, separate section for the most important tasks of the day, drag'n'drop time-blocking for tasks, universal categories notes, tasks and calendar events, private notes for meetings Our ask: If you use daily planning in any shape or form (from writing your daily tasks on a sticky note to more advanced techniques such as bullet journaling), it'd be great to hear your feedback on our product. Also, in case you like the product and decide to stay, we're happy to give a 20% discount to the people in this community (just use HACKERNEWS promo code). P.S. We showed emery.to a few months ago and received a lot of feedback from this community. So, if you saw our previous Show HN, here's a short summary of the changes: Weekly planning screen, completely redesigned daily screen, improved collections and weekly tasks, a separate page to find all completed tasks, credit card is no longer required to try the product, lots of small refinements in the UI

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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, new, single · Missing: mac, agents, macos
87%87% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month, google, para · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, 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
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
20%20% 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
18%18% 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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