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interactive digital menu

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interactive digital menu

I've been developing a brand new concept for an interactive digital menu. I have never actually seen one of these anywhere but it seems to me like a no-brainer. The idea is that you would replace the printed menu at the front of the house with an interactive touch screen application. People could browse the menu and learn more about the establishment while they wait to be seated. You can see it here: http://innerfacelabs.com/products/interactive-digital-menu/ I haven't been promoting it too much yet because I am still developing it but so far the feedback I've gotten is "we think our customers prefer the simplicity of printed menus". I find this feedback valuable because it shows me what the market sentiment is but at the same time I believe it is wrong. Yes, there may be some people that are intimidated by this kind of technology but I also think that attitude is fading with older generations. There are so many more advantages of a software vs printed menu like sorting, filtering by ingredients, images, video, nutrition information, etc. Younger generations will grow up expecting this type of interaction that their grandparents are resisting. So my question is: am I in denial that this type of product is beneficial or am I just so far ahead of the technology curve that the real challenge for this type of product is a general fear of technology?

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% 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: new · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
43%43% 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, intuitive
34%34% 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 · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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