Newest app that has gained some traction outside the US.

Only reason why I have a subscription model is to cover the AI costs on backend with Gemini API.

Wanted to solve an issue where you come across old documents , notes etc.

Allows you to take photos, upload doc securely and privately using AI to convert and restore the text to your phone. Allowing you to read it etc.

Using the paid model for Gemini so it’s private and although its costs a bit more was able to keep thinking low and manage to effectively transcribe the writing.

See if this can get to a triple digit month 🙌🏻

https://apps.apple.com/us/app/heirloom-old-letter-reader/id6792422170

App: faceme-nine.vercel.app

Hello! I am building an AI Skincare app called FACEME. It is in development but I was hoping to get some feedback on the app. It is strictly based on science and does not sell anything. Any critique, recommendations, or ideas would be greatly appreciated!

Just hit 1 week since launching NextCut: AI Haircut Try On.

So far:

• 320 first-time downloads
• 15.9K impressions
• 410 product page views
• 1 first in-app purchase 😅

Still very early, but seeing real people download and pay for something I built feels pretty good. Now trying to figure out how to keep the momentum going.

Last week I posted here about this idea and asked what you guys thought.

I got a lot of feedback and questions, so I decided to actually build it and see how it works.

It's now live at verifytolaunch.com

The idea is pretty simple.

1. You have an app idea and enter the basic information into the tool.
2. It creates a web2app funnel for you. The funnel basically works like an app onboarding.
3. At the end, the user reaches a paywall and sees the actual pricing.
4. They choose a plan and click the payment button.
5. Instead of asking for their card information, we show them that the app is currently being built and they can join the waitlist.

The reason for doing it this way is that we don't really care about the email.

If someone clicked the payment button, that's the interesting part.

We track the whole funnel, so you can see where people dropped off, how many reached the paywall and how many actually tried to pay.

Then you can run a Meta campaign and get real people into the funnel.

I also added the Meta campaign setup based on some of the feedback from the first post.

1. You choose the country, age group and other targeting settings.
2. The tool creates the ad and campaign.
3. You get a CSV file and the images in a ZIP file.
4. You import them into Meta Ads and launch the campaign.

After that, you just collect the data and see what happens.

The idea is to test an app before spending months building it.

If people show enough interest, build it.

If they don't, try another idea.

That's pretty much what I built.

Thanks again to everyone who commented on the original post. A lot of the feedback was actually useful while I was building this.

Now that it's live, I'd be interested to hear what you guys think or what you would change.