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Launch apps on your PC from your couch
Hacker NewsLaunch apps on your PC from your couch
Hi, There are 2 apps, one for your computer on which you'll be able to manage which programs can be controlled, and one app for your smartphone which connects to your computer and lets you remotely launch and stop programs and also control media. Watch the full demo video on YouTube : https://www.youtube.com/watch?v=DjP6p6_hSi4 We're developping this for lazy couch cats like us. Check availability on remotemeow.com Any comments appreciated! Meow!
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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, computer · Missing: mac, agents, macos65%65% 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, podcasting60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, video · Missing: mobile apps, ios, personal58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released53%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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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