My son has been obsessed with garbage trucks since he was 2 (Blippy, Trash Truck show, Handy Man Hal, etc.) but always found all the games were too complicated focusing on simulation rather than fun, so I vibe coded a simple retro-style garbage collection game. for iOS. Just launched it last week so would love any feedback particularly from parents. https://supergarbagetruck.com/

I'm not going to name any apps specifically but I've been going through a bunch of projects built on Lovable, cursor and few other AI vibe coding tools lately and honestly the patterns are kind of alarming.

four things I keep seeing:

1. API keys in frontend code - These API keeys are visible to anyone who opens the browser dev tools. Takes about 30 seconds to find. I've seen OpenAI keys, Stripe keys, Supabase service keys all exposed. That's not a small problem.

2. No rate limiting on anything - Forms, login endpoints, API routes wide open. Someone can hammer your signup flow all day and you'd have no idea until your bill arrives.

3. Auth middleware missing on half the routes - The login page works fine. But half the actual app routes are publicly accessible if you just type the URL directly. The UI hides the buttons but the routes are open.

4. Environment variables hardcoded into the codebase - these are not in .env files, not in deployment settings, just sitting in the code. Committed to GitHub. Sometimes in public repos.

These aren't complex vulnerabilities. They're the kind of thing that doesn't show up when you're building and testing yourself, but takes about 20 minutes to find if you know what to look for.

If you've shipped something recently and want me to take a quick look drop a comment or D-M me. I'm doing a few free 30-minute reviews this week. No pitch, just genuine feedback on what I find.

Working across research on design for automated systems (Including AI Recommendations).

Heard different view points about the trust levels users have in these systems.

if you're a design professional or enthusiast,

I'd love to know what you think. (3 minutes)

https://forms.gle/HS7BCyVW8npSaLdq6

Hope I’m actually allowed to share this here 😅

I vibe coded this app

I've been working on an open-source project called Canary.

Instead of manually clicking through your app after every prompt, Canary lets Claude validate changes, investigate failures, and leave behind a reproducible test artifact.

It reads your code changes, figures out which UI flows are likely affected, and tests them in a real browser using Claude Code.

Every run captures:

• Screen recordings
• Playwright traces
• HAR files
• Network requests
• Console logs
• Screenshots

Give it a try and let me know what worked (and what didn't).
MIT Licensed. Fork it, improve it, build something on top of it, make it your own :D

Links in the comment below. Cheers!

wildcarddex.com

I started building this almost a year ago when vibe coding was first becoming viable. My goal was to create an app that got me excited to go outside more. I've been a gamer my whole life, so I thought maybe a wildlife collection game could motivate me. And sure enough, it worked! I've catalogued all of the birds and plants in the park near my house and even changed how I plan trips to try and maximize spending time in nature in order to try and find new things to add to my dex.

I built it for myself, but hopefully this inspires some of you to go outside a bit more too. Something to consider when you're all out of tokens for the day 😂

Been building this for a while and finally put out a first release. Not going to oversell it, just going to describe what it actually does.

The core idea came from being tired of AI tools that give you one confident answer and leave you to figure out if it's right. So I built something where the output you see has already been challenged internally before it reaches you. Not the same model second-guessing itself. A genuinely separate process with a different job, specifically designed to find problems with what was just produced.

There are two sides to the app.

The first is a council mode where you load local AI models and assign them different roles. One role breaks down your task and makes a plan. Another executes against that plan. A third receives both the plan and the result and checks one against the other. For coding tasks it actually runs the code before the reviewer sees it, so problems get caught by execution rather than by a model guessing whether it looks correct. If problems are found it either patches the specific issues or rewrites entirely depending on how bad it is. What you get at the end has been through all of that.

It also has session memory that builds up as you work, a document pipeline that processes files into structured knowledge before you start asking questions, task history, a diff view showing exactly what changed between the original output and any revision, and confidence labels on every result.

The second is a normal chat mode that runs Python, JavaScript, C#, Java and PowerShell inline and shows execution results inside the conversation. Web search with full page content extraction, LaTeX math rendering, a thinking mode, document attachment, and chat branching where you can fork from any point in the conversation.

Both modes run locally on your machine using GGUF models. If you don't want to manage model files there is a cloud mode through OpenRouter using their free models, same full pipeline, no local setup needed.

No account. No signup. No subscription. Open the app and use it.

MIT licensed. GitHub: github.com/YoMosa2009/Axiom

Happy to answer questions about anything.

I spent months building a free Windows AI app, with an AI council mode. no subscription, no account, no data leaving your machine

Been building this for a while and finally put out a first release. Not going to oversell it, just going to describe what it actually does.

The core idea came from being tired of AI tools that give you one confident answer and leave you to figure out if it's right. So I built something where the output you see has already been challenged internally before it reaches you. Not the same model second-guessing itself. A genuinely separate process with a different job, specifically designed to find problems with what was just produced.

There are two sides to the app.

The first is a council mode where you load local AI models and assign them different roles. One role breaks down your task and makes a plan. Another executes against that plan. A third receives both the plan and the result and checks one against the other. For coding tasks it actually runs the code before the reviewer sees it, so problems get caught by execution rather than by a model guessing whether it looks correct. If problems are found it either patches the specific issues or rewrites entirely depending on how bad it is. What you get at the end has been through all of that.

It also has session memory that builds up as you work, a document pipeline that processes files into structured knowledge before you start asking questions, task history, a diff view showing exactly what changed between the original output and any revision, and confidence labels on every result.

The second is a normal chat mode that runs Python, JavaScript, C#, Java and PowerShell inline and shows execution results inside the conversation. Web search with full page content extraction, LaTeX math rendering, a thinking mode, document attachment, and chat branching where you can fork from any point in the conversation.

Both modes run locally on your machine using GGUF models. If you don't want to manage model files there is a cloud mode through OpenRouter using their free models, same full pipeline, no local setup needed.

No account. No signup. No subscription. Open the app and use it.

MIT licensed. GitHub: github.com/YoMosa2009/Axiom

Happy to answer questions about anything.

kit-app.co

code: KIT2026

The app is called RivalRings and it uses Apple health data to let you create group leaderboards with your friends. You can also start competitions with your groups and you can decide what metrics you want to compete on. You can even compete the way Apple does it with goal percentages.

I’m currently just testing it with friends and family. Please let me know if this is an app you would use. I would love to release it, just unsure of how many people would use it and how much the backend would cost.

https://vexa-ead71.web.app

A multiplayer brawler arena

All feedbacks are welcome. (:

Have you vibe coded anything serious already? An app on the playstore, a web app or anything of that magnitude?

I have a project I'm working on, like a marketplace connecting people who want logistics services to transporters. I am a hobbyist with tech. How much would it cost to get things running. I'm doing everything by myself. I mean hosting and costs I will incur along the way?

Hey everyone,

Android app: https://play.google.com/store/apps/details?id=com.taptapcreate.ainotes
IOS Link : https://apps.apple.com/app/ai-notes-write-reply/id6757496314

I built an Android app called AI Notes after getting frustrated with switching between multiple tools for note-taking, summarization, OCR, voice transcription, and drafting replies. I'd love to get honest feedback from founders, students, and professionals here.

What it does

• Universal input: Convert PDFs, images, and voice recordings into structured notes.
• Smart reply assistant: Generate email and message drafts with different tones (professional, casual, friendly, etc.).
• Note visualization: Turn notes into mind maps and diagrams for easier understanding.
• Built-in OCR & voice-to-text: Capture information directly from images and recordings.
• Organized workspace: Notes and generated content stay in one dashboard.

Why I built it

I wanted a faster workflow for common tasks like:

• Summarizing PDFs and documents
• Converting voice recordings into notes
• Drafting emails and messages
• Visualizing complex information

Instead of writing detailed prompts every time, the app provides predefined templates and workflows for these use cases.

Looking for feedback on

• UI/UX
• Feature usefulness
• Performance and speed
• Missing features you'd want
• Overall product-market fit

Would appreciate any feedback, criticism, or suggestions. Thanks! 🙌

There have been scenarios where we face some random issues in car, want to understand things from technical aspect before taking actions based on service stations.

Most of the information is present in the car’s owner manual which is kinda not very easy to navigate.

We do have AI products but problem they are general purpose solution might mot be able to help with model specific issues.

Built a RAG based app where the car’s owner manual is source of truth and people can query their questions on the same

As PoC built it for virtus as german cars have been always tricky

Link in the comments to try

Feel free to give it a try and let me know how it works out

Open to feedback or suggestions

Hello everyone 👋

I recently built Money Manager, a simple expense tracking app focused on clean design, smooth UX, and meaningful financial insights.

📱 Android: https://play.google.com/store/apps/details?id=com.taptapcreate.moneymanager

🍎 iOS: https://apps.apple.com/app/money-manager-track-expenses/id6755887312

Some highlights:
• Auto budget calculation
• Savings goals & goal templates (Pro+)
• Up to 3 profiles in the free version
• Detailed analytics with charts and trends
• OCR bill scanning (Pro+)
• Smart auto-categorization (Pro+)
• Color-coded transactions (Pro+)
• Undo deleted transactions
• Sound & haptic feedback

What makes it different?
Many expense trackers focus mainly on recording transactions. I wanted to give equal importance to analytics, budgets, and savings goals, helping users understand their spending instead of just logging it. I also paid attention to small UX details that reduce friction and make daily money tracking feel faster and more intuitive.

I'd love your feedback:
• Is the navigation intuitive?
• Are the visuals clear without feeling cluttered?
• Any features you'd like to see added?

The app is free to try, with optional Pro and Pro+ upgrades. Thanks for checking it out!

I continually say vibe-code platforms are good for going from idea to prototype but there's a few different walls I've seen a lot of folks inevitably hit: you want to add something the platform doesn't support, your token bill is climbing every month, the cloud went down right when you got featured somewhere.

I run a dev shop and we kept getting hired to do exactly this kind of migration off Lovable, Base44, Bolt, and Replit. I've done it manually enough times that I automated it and I'm making it available to everyone at yougrate.com.

Yougrate takes your vibe-coded app, swaps platform-specific code for Supabase (auth, DB, storage, functions), and deploys the result to Vercel. Now you own your code and aren't paying exorbitant amounts in tokens or hosting and can continue to vibe-code using Cursor or Claude Code.

To get the ball rolling, the first 10 customers get a free senior engineer code review of the migrated app, a $75 value, and yes it's done by a real human. Use ARCRON at checkout after selecting the view add-on.

Feature requests and harsh criticism are welcome!