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a web dashboard for displaying on tablets

Hacker News

a web dashboard for displaying on tablets

I just launched TabletDay - a web dashboard for displaying on tablets. The idea behind the project is to repurpose unused tablets as functional information centers (clock, weather, calendar, task list). Initially, this was just my private toy - an old tablet converted into a home dashboard. I've been using it daily for years, and it has become an indispensable part of my routine. Friends who saw it asked if they could have something like this too. Of course, tablets have their built-in dashboards, but I wanted to focus on something different - a clean and minimalist design that references the classic wall calendar. No distractions, just time, weather, events, and tasks. That's why I thought I'd create a version for everyone, so others could benefit from it too.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% 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: tasks, using · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% 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.

Incorrect prediction on native model

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