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Deckboard – Turn your old Android/iOS device into overpowered macro pad

Hacker News

Deckboard – Turn your old Android/iOS device into overpowered macro pad

Hi HN! I'm really excited to show you the version 3 of the Deckboard app, the app I've been actively working on since 2018. Originally, I made this app to repurpose my old, dusty Samsung tablet into something like Elgato Stream Deck. How it works: 1. The user install the server app on their PC (available for Windows, MacOS, and Linux) 2. Create macro buttons and specify its actions on the server app. Add image, icon, label to customize their looks. 3. Install the client app on the Android/iOS device and connect it to server app through WiFi or USB (Android only) 4. Voila! The custom macro buttons are displayed on the device's screen. Just tap them to launch the action on your PC. On its first launch, several macro actions were introduced, like macro keypresses, OBS and Streamlabs control, Twitch chat integration, etc. Several talented third party developers also created extensions for Deckboard, like TeamSpeak and Discord integration. Now in version 3, I want to introduce these features: Resizable macro block Slider input macro Graph display Twitch chat box These features will help users achieve more customization. And guess what? These features are also available on the free, basic version of the app. Hope you like it!

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2points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, ios · Missing: supports, reddit linkedin, podcasting
84%84% 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: mac, macos, user · Missing: agents, agent, cursor
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios, users · Missing: mobile apps, personal, entrepreneurs
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist
58%58% 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 · Strong signals: users · Missing: plus, platform, intuitive
19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · Strong signals: chat, introduce · Missing: web3, crypto, cryptocurrency
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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