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Demo Scope – Record/Stream iOS Web Demos with Face Cam and Touches
Hacker NewsDemo Scope – Record/Stream iOS Web Demos with Face Cam and Touches
Hi everyone, I made this app Demo Scope lets you record or stream any mobile website with your face on screen and touch indicators showing every tap. I built it because I needed to demo my own side projects and hated the OBS/desktop setup. Load your site in the app, hit record, done. Or stream straight to Twitch/YouTube. Free to try: https://apps.apple.com/us/app/demo-scope/id6755395174 Would love feedback if anyone tries it.
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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps · Missing: mac, agents, macos76%76% 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: ios · Missing: supports, reddit linkedin, podcasting66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios, apps · Missing: mobile apps, personal, entrepreneurs55%55% predicted probability of success on TrustMRR, 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 released31%31% 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 · Missing: plus, platform, intuitive29%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, revenue21%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, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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