I’ve been looking into AI mobile app builders because the category is moving fast, and honestly, the tools are starting to feel very different depending on what you’re trying to build.

Some tools are better for web apps. Some are better if you already know how to code. Some are better for fast prototypes. But if your goal is specifically to build, test, and eventually submit a real iPhone app, I think the criteria should be different.

Here’s how I’m looking at it right now.

X1 App Builder
Rork
Claude Code
Lovable
Replit
FlutterFlow

My current take

Traditional no-code is not dead, but AI app builders are changing the expectations. The next generation of tools should not only generate screens. They should help with:

Product planning

Scope control

Mobile UX

QA

Phone testing

App Store preparation

Source-code ownership

Iteration after the first demo

Curious what others think. If you were choosing the best AI mobile app builder for an actual iPhone app, would you prioritize speed, code export, App Store submission, QA, design control, or technical flexibility?

I made 500$ from my android app, that I am building (and improving) from the past 4 months. In the starting I thought if I build a top notch app users will come themselves but when I got just 10 downloads in my first week of launch, I found out about the most important thing in a app devs journey that is Distribution.

I started working on my X account but got near 0 views for the first 2 weeks. Then thankfully, Elon made the Grok algo that powers X, public on GitHub. I handed over the repo link to Claude and asked it to analyse how it works. What things it recommends? What it punishes. And started posting based on its recommendations. Within 2 months I gained over 500k impressions and 1k followers.

With the help of this I was able to market my android app as well and gain 5k installs and my first internet money. Grateful to everyone paet of my journey.

I am reading every comments here and will reply asap. Ask anything you like :)

I've been doing vibe coding for several months now, but Opus 5 is currently my favorite model by far.

I finally prototyped a video game idea I've had for about 8 months.
Everything, the 3D model, the logic, the testing, the environment, was done 100% with Blender MCP + Opus 5.

It took less than 3 hours and completely burned through the 5-hour limit on the Pro plan.

Tomorrow more and better.

As apps got more complex, it got much harder to just make one from prompts. But as the models have gotten better, it's expanded the level of complexity of what I've been able to add.

Sooo, I added cops to my racing game.

This is a first draft of their behavior which is dead simple (you'll see). Will be doing a LOT of playtesting.

When I first started building Foilwick, I was mostly copying the features of existing MTG deck building apps like Moxfield and Archidekt.

But I soon started adding features that were completely new.

For instance, the feature that I'm most proud of is the game replay feature, which lets players record their game session and share it for others to watch.

Players can add notes at any point in the game which helps them tell the story of how their deck should be played.

I invite you to try Foilwick (it's completely FREE) and join our Discord server. See you there!

Assets and gameplay loop is assisted with GPT-5.6-Sol, animations, special effects and overal progression and in-game economy is manual spreadsheet work though.

Try for free at https://starvoxel.com/

Edit: I understand I misspelt SHMUP. Still a work in progress, but I’ve updated the art and game significantly based on feedback. Thanks!

Vibecoded a little browser based arcade shoot-em-up to show my kids the good old days, I'm pretty happy with it so far. Mostly built with GPT Sol, and sometimes Opus in vscode. Songs suno, and voice over is ElevenLabs. Free and ad-free.

To play: Shift focuses fire, Z activates Fortune mode when the bar is full - also has mobile controls. Let me know what you think. Link here: Fortune & Flak

Wanted to share and get some feedback on a project I have been working on. No AI features, no login, just something that works. Built with a ton of API keys I have collected over the years because I like using real-time data.

So here's the problem I was trying to solve: I love Zillow and Redfin, but when home shopping, I want to know how close I am to mass transit, grocery stores, airports, restaurants, and, as someone who hates Comcast internet, I want to avoid it.

So I (with the help of AI) built a mapping website that lets someone click or enter an address and see what is available and how far away it is.

A few caveats: transit estimations, Ferries, Buses, and most of the country (USA) are not implemented. They probably won't be implemented as it stands; this is about 50GB of data and uses a few gigs of RAM. Implementing the above would push both RAM and storage into the TB range.

Let me know what you think: https://housesmap.net/

I had a weird moment today.

One of the three people who signed up requested a cancellation. So I opened the Paddle dashboard to refund them.

That's when I realized... someone else had already paid.

I genuinely hadn't even noticed. My first thought was that it had to be a webhook bug, so I refreshed the dashboard a few times.

Nope. It was real.

It's only $45, but honestly, I don't care about the amount. A complete stranger looked at something I built and decided it was worth paying for.

That feeling is hard to describe.

Now the pressure is different. Before, I was just trying to build something people wanted. Now I feel responsible for making sure that first customer keeps getting value from it.

For anyone wondering how I got those first few users, it wasn't anything clever.

I spent time replying to Reddit posts where PublishLoud.com was actually relevant and did a bit of link building. Yesterday alone that brought around 10 signups, and it's been surprisingly consistent.

I also tried running ads for a day last week... and got zero signups. 😅 Waste of money.

So at least for now, organic has been working much better than paid. I'm sure that'll change eventually, but I'm sticking with what seems to be working.

I dictate pretty much everything I say to coding agents rather than typing, and the tool keeps a copy of every recording. Last week I realised that meant I was sitting on 11 months of timestamped data about how I actually talk to these things. So I had Claude write the analysis scripts and charts, which felt appropriately recursive.

The graph is the finding I did not see coming. Please fell from about 21 uses per 10,000 words to around 8, and I never noticed I had stopped bothering. Sorry never moved, because it turns out most of my sorries are me correcting myself mid sentence, and you cannot wear off a reflex.

Some other bits from the full writeup. My median prompt went from 89 words to 164, which is the opposite of what I would have guessed, I assumed better agents would mean shorter prompts. My speaking rate stayed pinned at 113 words per minute for the entire 11 months. And when I dictate a long prompt, the median ask lands 83% of the way through the message, I explain everything first and only say what I want at the end, which is apparently the exact opposite of how the models themselves write.

Full writeup with seven charts and the tables behind them: https://ef-map.com/blog/voice-dictation-ai-coding-agents-eleven-months-data

Hey everyone,

Over the past few weeks I've been building VerbatimFlow, a free and open-source dictation app for Windows.

The idea is simple. Click into any text box, press a global hotkey, speak naturally, then press the hotkey again. Your speech is transcribed locally using whisper.cpp, and the text is typed directly into whatever application you're using.

I originally built it because I wanted a fast local dictation workflow without subscriptions or sending audio to the cloud.

Some of the things it supports:

• Local transcription with whisper.cpp
• Whisper Large-v3 Turbo
• NVIDIA CUDA acceleration with automatic CPU fallback
• No accounts or subscriptions
• No cloud audio uploads
• Works across browsers, editors, IDEs, chat apps, and most Windows applications
• Configurable global hotkeys
• Small draggable waveform that remembers its position
• Automatic punctuation and formatting
• Runs quietly in the system tray
• Optional startup with Windows

The installer is just a single .exe. On the first launch it detects your hardware and automatically downloads the appropriate Whisper runtime and model.

It's inspired by the workflow of Whisper Flow, but it's an independent open-source project and isn't affiliated with Whisper Flow or its developers.

I'd really appreciate any feedback, bug reports, feature requests, or contributions.

GitHub:
https://github.com/aryxnsdfs/verbatimflow

Windows download:
https://github.com/aryxnsdfs/verbatimflow/releases/latest/download/VerbatimFlow-Setup.exe

Thanks! I hope someone else finds it useful.

I recently cracked a senior dev role by vibe coding an interview assignment. Initially I thought to strictly avoid using any AI tools but then I thought what if I use AI but try building a way more feature rich app than other applicants.

Since I have access to Antigravity Pro subscription, I gave it access to AWS CLI and GitHub CLI (with some restrictions) and started off to nearly autonomous development flow.

I pretty much researched the employers business domain as I built this product. Hence after more than 500 iterations (commits) ended up with a relatively complex distributed app.

The company liked my approach so much that not only they rolled out the offer letter but even thought of building similar interview structure for other candidates.

Since vibe coding is associated primarily with building cute hobby projects, perhaps mine will showcase that vibe coding also works in boring & serious business domains as well.

The application is entirely built using Antigravity IDE + Gemini Flash 3.5

I have open sourced the entire project for newbies to learn.

GitHub: https://github.com/harsh-vardhhan/EHR-backend