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Dashi – a 214KB Chrome new tab dashboard with no servers or analytics

Hacker News

Dashi – a 214KB Chrome new tab dashboard with no servers or analytics

I built out this dashboard for my own use since I was getting sick and tired of constantly checking multiple apps when all I really need is a quick glance. As more and more use-cases sprung up, I kept adding new features and it grew to what it is now. I find it very useful and thought I should share it. dashi is a widget dashboard on your new tab. Currently 17 widgets... notes, to-dos, history, weather, world clocks, countdowns, pomodoro, and much more. Drag wherever you want across as many pages as you like, with a separate layout remembered for each screen size you use. Three things I actually cared about: Size. The whole extension is 560KB unpacked, ~240KB compressed. Opening a new tab runs about 87KB of JS and 31KB of CSS, uncompressed. Every widget is its own lazy chunk, 69 of them, so a board with three tiles doesn't pay for the other fourteen. Preact instead of React did most of that work... React was around 90% of the initial bundle. Privacy. No account, no backend, no analytics, no telemetry, not even anonymous counters. Nothing to opt out of, because nothing is collecting. Permission asked for features when you use it. If you don't add the history widget, dashi never has history access. Theme. There are currently 7 themes now, with many more themes being worked on. 4 more should be released by next week. dashi is something I open up multiple times throughout the day. So it should look good and be personalized to how you like it. Some other features: Volume boost on the toolbar, with a limiter and a soft-clip stage after the gain. Off the record stops history being written without having to go on incognito. History auto-delete rules delete anything that matches a rule you set. Focus mode to block sites you set for a certain duration. Keep awake to keep your computer screen on for a certain duration. And so much more... It's free and stays free. I hope you find it useful as much as I do. Try it out! The demo you see on the page is essentially 95% of what you'll get.

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, computer, new · Missing: mac, agents, macos
83%83% 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
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 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.
TrustMRRFits verified-revenue profile · Strong signals: personal, apps, widgets · Missing: mobile apps, ios, entrepreneurs
51%51% 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
29%29% 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
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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