Delta Widgets – A widget maker for Windows using Tauri

Hacker News

Hi HN, I’ve been working on a project called Delta Widgets, a desktop widget maker for Windows. The idea: make it easier to create and customize widgets without having to edit .ini files or configs like with Rainmeter. You can design visually using a drag-and-drop builder, or write your own HTML/CSS/JS if you want more control. Some features: Drag-and-drop widget builder (no coding needed) Or load widgets from custom HTML/CSS or a live URL Support for dynamic data like time, system info, and media playback Pre-made templates to start quickly Built on Tauri (Rust + system WebView) → lightweight, secure, native feel Website: https://delta-widgets.vercel.app/ Product Hunt: https://www.producthunt.com/products/delta-widgets?utm_sourc... Peerlist: https://peerlist.io/amaanmohib/project/delta-widgets

Visit product View on Hacker NewsAug 19, 2025

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1points

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Product HuntOn track for Day 1 leaderboard · Strong signals: visual, using, coding · Missing: mac, agents, macos

88%88% 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 · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: widgets · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% 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

37%37% 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

14%14% 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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