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I built a full app with AI - frontend, backend, auth, everything. It ran clean. I almost deployed it. Then I discovered it was missing over half the core features I asked for. Quietly. Silently. No errors. AI agents only see what fits in their context window. They give...

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33,991 görüntüleme • 10 ay önce •via X (Twitter)

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No code. No bugs. All working. 🤯 Trae (and its upcoming solo mode) is the most impressive coding AI we've used. We built a full forum site for TestSprite using TRAE — zero code. Then TestSprite tested, debugged & fixed all the gaps. The forum went live in under 30 minutes — without us lifting a finger. The future isn’t AI that writes code. It’s AI that BUILDS SOFTWARE!! 🔗 Try TestSprite MCP: #AI #NoCode #Trae #buildinpublic #TestSprite Watch it happen 👇
10:02

No code. No bugs. All working. 🤯 Trae (and its upcoming solo mode) is the most impressive coding AI we've used. We built a full forum site for TestSprite using TRAE — zero code. Then TestSprite tested, debugged & fixed all the gaps. The forum went live in under 30 minutes — without us lifting a finger. The future isn’t AI that writes code. It’s AI that BUILDS SOFTWARE!! 🔗 Try TestSprite MCP: #AI #NoCode #Trae #buildinpublic #TestSprite Watch it happen 👇

TestSprite

24,095 görüntüleme • 11 ay önce

This is insane Just built a fully working AI Room Designer in minutes, no coding, no API keys, just chatting with OnSpace AI. I use Nano Banana Pro for generation and handles UI, logic, and integration automatically. Not a demo. A real app: • No API setup required – Just told OnSpace to use Nano Banana Pro for content generation and it worked instantly • Full app, not a prototype – Complete UI, logic, and AI integration handled automatically • Actually works – Nails my tone every single time The whole thing came together through conversation. No design work. No wrestling with code. Just described the app and OnSpace made it real. This is what building with AI should feel like. Check my app link in the thread and try it yourself
0:37

This is insane Just built a fully working AI Room Designer in minutes, no coding, no API keys, just chatting with OnSpace AI. I use Nano Banana Pro for generation and handles UI, logic, and integration automatically. Not a demo. A real app: • No API setup required – Just told OnSpace to use Nano Banana Pro for content generation and it worked instantly • Full app, not a prototype – Complete UI, logic, and AI integration handled automatically • Actually works – Nails my tone every single time The whole thing came together through conversation. No design work. No wrestling with code. Just described the app and OnSpace made it real. This is what building with AI should feel like. Check my app link in the thread and try it yourself

AI Frontliner

70,013 görüntüleme • 7 ay önce

You don’t need a dev team anymore. You need one prompt. Zoer takes your idea and turns it into a fully working app, not just code, but a real product you can use. Here’s what it handles for you: • Database (already structured) • Backend (logic + APIs) • Frontend (clean, production-ready UI) • Auth (Google + email login) • Deployment (live in one click) Most AI tools stop at “here’s your code.” Zoer goes further: It builds the entire system and puts it live. From: “build me a CRM / SaaS / tool” To: A real, working product you can open, test, and share. Try it → No setup. No configs. No extra tools. This is what building should feel like in 2026.
0:53

You don’t need a dev team anymore. You need one prompt. Zoer takes your idea and turns it into a fully working app, not just code, but a real product you can use. Here’s what it handles for you: • Database (already structured) • Backend (logic + APIs) • Frontend (clean, production-ready UI) • Auth (Google + email login) • Deployment (live in one click) Most AI tools stop at “here’s your code.” Zoer goes further: It builds the entire system and puts it live. From: “build me a CRM / SaaS / tool” To: A real, working product you can open, test, and share. Try it → No setup. No configs. No extra tools. This is what building should feel like in 2026.

Tanvir

18,160 görüntüleme • 2 ay önce

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.
0:31

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.

Akshay 🚀

30,806 görüntüleme • 1 yıl önce

I built a mobile app to check Paddle revenue (because they don't have one): 👉 - Use your Paddle API key (read-only and scoped) - Live data with beautiful and useful graphs built with native Swift UI. - Multi-account supported, unified revenue metrics. - Data stay on device, no server (api requests are sent directly from your phone) - Home widgets - I made it free to download on App Store (once it's approved) - Buy the source code for $19 and customize it however you want (save 5hrs of prompting if you try to do it yourself). Some interesting facts about this side project: - I vibe coded with 100% claude code remotely on my Mac Mini (with my AI assistant setup) in less than 24 hours. - I have read 0 line of code in this project and never opened Xcode myself. - My AI assistant designed the app with GPT Image 2, built the app with Swift UI, test it on simulator (via screenshots), send the test build to TestFlight for me to test, and invited me to the app store connect account so I can test on my phone, then the AI submitted the app to App Store and currently waiting for approval. - For the website, I ask it to come up with a domain name, I bought it via manually and give it access via Cloudflare API, the AI design and create a static website with GitHub, test it with lighthouse CLI, deploy via GitHub pages, config the domain DNS, deploy the website. - Then I sign up an account with Polar payment, create an API key and ask the AI to setup a store, add payment, link with the account, and add the payment to the website. The entire process happened in the last 24 hours with me only talking to the AI via Telegram. This is such a fun side project not only to create an app that I wish exists, but also to push the limit of what I can use AI for, and so far I'm very impressed. I'll create so much more apps! It feels like I have unlocked a super power.
0:33

I built a mobile app to check Paddle revenue (because they don't have one): 👉 - Use your Paddle API key (read-only and scoped) - Live data with beautiful and useful graphs built with native Swift UI. - Multi-account supported, unified revenue metrics. - Data stay on device, no server (api requests are sent directly from your phone) - Home widgets - I made it free to download on App Store (once it's approved) - Buy the source code for $19 and customize it however you want (save 5hrs of prompting if you try to do it yourself). Some interesting facts about this side project: - I vibe coded with 100% claude code remotely on my Mac Mini (with my AI assistant setup) in less than 24 hours. - I have read 0 line of code in this project and never opened Xcode myself. - My AI assistant designed the app with GPT Image 2, built the app with Swift UI, test it on simulator (via screenshots), send the test build to TestFlight for me to test, and invited me to the app store connect account so I can test on my phone, then the AI submitted the app to App Store and currently waiting for approval. - For the website, I ask it to come up with a domain name, I bought it via manually and give it access via Cloudflare API, the AI design and create a static website with GitHub, test it with lighthouse CLI, deploy via GitHub pages, config the domain DNS, deploy the website. - Then I sign up an account with Polar payment, create an API key and ask the AI to setup a store, add payment, link with the account, and add the payment to the website. The entire process happened in the last 24 hours with me only talking to the AI via Telegram. This is such a fun side project not only to create an app that I wish exists, but also to push the limit of what I can use AI for, and so far I'm very impressed. I'll create so much more apps! It feels like I have unlocked a super power.

Tony Dinh

43,634 görüntüleme • 1 ay önce

the video is live. full app built in under 3 hours. raw. uncut. bugs and all. the stack: → Idea Browser — idea to full PRD in minutes → Mobbin — production grade UI patterns from pre-existing apps → — built full stack with plain english (i specialize in frontend but you can also use superbase) what you'll see: HOUR 1: PRD generation (user flows, features, edge cases) HOUR 2: reference hunting (real apps > dribbble fantasy) HOUR 3: full build (frontend and you can use superbase for backend) this isn't a polished tutorial. it's the actual workflow. live. you'll see where it breaks. you'll see how I fix it. the gap between "idea" and "shipped product" is now 3 hours. watch it. then go build something. like + RT if this changes how your new workflow looks like..
7:10

the video is live. full app built in under 3 hours. raw. uncut. bugs and all. the stack: → Idea Browser — idea to full PRD in minutes → Mobbin — production grade UI patterns from pre-existing apps → — built full stack with plain english (i specialize in frontend but you can also use superbase) what you'll see: HOUR 1: PRD generation (user flows, features, edge cases) HOUR 2: reference hunting (real apps > dribbble fantasy) HOUR 3: full build (frontend and you can use superbase for backend) this isn't a polished tutorial. it's the actual workflow. live. you'll see where it breaks. you'll see how I fix it. the gap between "idea" and "shipped product" is now 3 hours. watch it. then go build something. like + RT if this changes how your new workflow looks like..

MotionViz

21,689 görüntüleme • 5 ay önce

I added Sentry to my app because it was a requirement for the recent Build Competition by Lovable. To be honest, I had no idea what Sentry did or how to use it. I simply asked Lovable to add it and provided the DSN value assigned by Sentry. Today I opened the Sentry dashboard and it blew my mind: 1) It can show you how your users interact with your app! 2) When your users hit an unexpected error, you get a copy of what triggered it and some information to help solve the error. There are a bunch of other features that I haven't discovered yet. Has anyone else discovered how useful Sentry is?
0:26

I added Sentry to my app because it was a requirement for the recent Build Competition by Lovable. To be honest, I had no idea what Sentry did or how to use it. I simply asked Lovable to add it and provided the DSN value assigned by Sentry. Today I opened the Sentry dashboard and it blew my mind: 1) It can show you how your users interact with your app! 2) When your users hit an unexpected error, you get a copy of what triggered it and some information to help solve the error. There are a bunch of other features that I haven't discovered yet. Has anyone else discovered how useful Sentry is?

Tristan Rhodes

21,549 görüntüleme • 1 yıl önce

Today i'm Open Sourcing "Rilable" The iOS app that builds Web apps and iOS Apps. I built it with Fable 5 in 10 prompts. (~ $210 in tokens on API pricing) All apps are built with Claude Models, and every app spins up a sandbox (Exactly like Lovable) using Daytona. Database is Convex. The app allows you to build apps that have AI features for this it uses Vercel AI gateway, and iOS apps are using Chorus.com iOS skill (All links below)
0:35

Today i'm Open Sourcing "Rilable" The iOS app that builds Web apps and iOS Apps. I built it with Fable 5 in 10 prompts. (~ $210 in tokens on API pricing) All apps are built with Claude Models, and every app spins up a sandbox (Exactly like Lovable) using Daytona. Database is Convex. The app allows you to build apps that have AI features for this it uses Vercel AI gateway, and iOS apps are using Chorus.com iOS skill (All links below)

Riley Brown

70,411 görüntüleme • 21 gün önce

I built the clipboard I always wanted for working with AI agents. It’s called Bluey and It’s 100% local-first. It lives under your mouse cursor. You can draw on your screen, speak to it, or type what you mean, and Bluey turns all of that into rich context for Claude Code or Codex. I’ve been using it to design websites and debug UI because I can finally say things like “move this here” or “make this section feel cleaner” while pointing at the actual screen. No more writing long explanations. No more manually describing screenshots. No more agents getting lost because they don’t know what “this” or "that" means. You can just point to it, speak or type and it will curate the best possible context for your agents Bluey captures the screenshot, annotation, transcript, app/window context, and the details your agent needs, then sends it directly into your coding session. I am giving it out for free for a while! Im building it with my buddy Omkar Satpute and we would love to hear what you think about it on Discord what context do you wish your agent could understand better?
2:54

I built the clipboard I always wanted for working with AI agents. It’s called Bluey and It’s 100% local-first. It lives under your mouse cursor. You can draw on your screen, speak to it, or type what you mean, and Bluey turns all of that into rich context for Claude Code or Codex. I’ve been using it to design websites and debug UI because I can finally say things like “move this here” or “make this section feel cleaner” while pointing at the actual screen. No more writing long explanations. No more manually describing screenshots. No more agents getting lost because they don’t know what “this” or "that" means. You can just point to it, speak or type and it will curate the best possible context for your agents Bluey captures the screenshot, annotation, transcript, app/window context, and the details your agent needs, then sends it directly into your coding session. I am giving it out for free for a while! Im building it with my buddy Omkar Satpute and we would love to hear what you think about it on Discord what context do you wish your agent could understand better?

Milind S

13,302 görüntüleme • 24 gün önce

Today, I gave the Replit AI Agent a Real test. I built an Employee Vacation tracker app. 100% AI prompting, no code. I hated the process until I mastered it. The app I built is so cool that I bought a domain to let you all use it for free. Every step, with great details 🧵:
0:58

Today, I gave the Replit AI Agent a Real test. I built an Employee Vacation tracker app. 100% AI prompting, no code. I hated the process until I mastered it. The app I built is so cool that I bought a domain to let you all use it for free. Every step, with great details 🧵:

John Rush

180,273 görüntüleme • 1 yıl önce

IT IS READY. This is no joke - we have a full 3D printing Wiki with the best AI chat features around. Talk to the AI - ask it what material is best for your specific project, let it know any printing issues you are having - anything at all! TEST IT NOW:
3:10

IT IS READY. This is no joke - we have a full 3D printing Wiki with the best AI chat features around. Talk to the AI - ask it what material is best for your specific project, let it know any printing issues you are having - anything at all! TEST IT NOW:

The 3D Print General

21,859 görüntüleme • 8 ay önce

Well, it appears that turning a Gaussian Splat into a #3D mesh was not that hard after all 😅. I have recently tried an app called KIRI Engine - 3D Scanner App and it offers several nice features that for me made it stand out from many other scanning apps: - It supports both photos and videos - You can clean up the splat directly in the app - It works on both Android, iOS and web! - BUT MOST IMPORTANTLY you can export the mesh making gaussian splitting a much more usable format for various production pipelines. I will be interviewing Jack Wang, the CEO of Kiri for an upcoming episode of XR AI Spotlight: What questions should I ask him?
0:59

Well, it appears that turning a Gaussian Splat into a #3D mesh was not that hard after all 😅. I have recently tried an app called KIRI Engine - 3D Scanner App and it offers several nice features that for me made it stand out from many other scanning apps: - It supports both photos and videos - You can clean up the splat directly in the app - It works on both Android, iOS and web! - BUT MOST IMPORTANTLY you can export the mesh making gaussian splitting a much more usable format for various production pipelines. I will be interviewing Jack Wang, the CEO of Kiri for an upcoming episode of XR AI Spotlight: What questions should I ask him?

Gabriele Romagnoli

22,997 görüntüleme • 1 yıl önce

Still relying on AI tools that can’t turn your ideas into real, working apps? Most can write code snippets but fall apart when it’s time to actually build something complete. That’s where Replit ⠕ changes everything. I simply asked it: “Build a responsive calculator app with a clean UI in light/dark mode.” Within minutes, it built the entire app with a beautiful UI, logic, light/dark mode, animations, and full responsiveness. Literally no setup. No debugging headache. Just vibe coding. Here’s why Replit stands out 👇 ✅ Build in Plain English: Just describe what you want and Replit turns it into a production-ready app. ✅ All-in-One Platform: Code, AI help, hosting, auth, and database, everything you need, already built in. ✅ Vibe Code Anywhere: Build on the go with the Replit mobile app for iOS & Android. ✅ Connected Ecosystem: Integrate with tools you already use like Notion, Slack, Google Drive, Dropbox, and more. ✅ Design to Live App: Import directly from Figma and bring your ideas to life in minutes. No micromanaging. No chaos. Just you, your idea, and Replit doing the heavy lifting. 👉 Try it now: 🎁 Get $10 credit when you purchase Replit Core via my referral link. → #Replit #VibeCoding #AIApps #NoCode #BuildWithReplit #AItools #ReplitCore
0:36

Still relying on AI tools that can’t turn your ideas into real, working apps? Most can write code snippets but fall apart when it’s time to actually build something complete. That’s where Replit ⠕ changes everything. I simply asked it: “Build a responsive calculator app with a clean UI in light/dark mode.” Within minutes, it built the entire app with a beautiful UI, logic, light/dark mode, animations, and full responsiveness. Literally no setup. No debugging headache. Just vibe coding. Here’s why Replit stands out 👇 ✅ Build in Plain English: Just describe what you want and Replit turns it into a production-ready app. ✅ All-in-One Platform: Code, AI help, hosting, auth, and database, everything you need, already built in. ✅ Vibe Code Anywhere: Build on the go with the Replit mobile app for iOS & Android. ✅ Connected Ecosystem: Integrate with tools you already use like Notion, Slack, Google Drive, Dropbox, and more. ✅ Design to Live App: Import directly from Figma and bring your ideas to life in minutes. No micromanaging. No chaos. Just you, your idea, and Replit doing the heavy lifting. 👉 Try it now: 🎁 Get $10 credit when you purchase Replit Core via my referral link. → #Replit #VibeCoding #AIApps #NoCode #BuildWithReplit #AItools #ReplitCore

Manish Kumar Shah

52,314 görüntüleme • 7 ay önce

Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:
0:28

Most AI app builders can generate a prototype. The real question is: Can they generate something you can actually launch? I recently explored MeDo, an AI-powered full-stack app generation platform that goes beyond just creating a frontend. With a single prompt, it can generate the frontend UI, backend logic, database structure, and plugin integrations. All in one workflow, without requiring coding or deployment experience. What stood out to me is the focus on building real products rather than simple demos. Whether you're creating SaaS tools, internal dashboards, e-commerce applications, games, or business automation tools. the goal is to move from idea → working product as quickly as possible. A few notable features: ✅ Full-stack generation from a single prompt ✅ Plugin ecosystem with integrations like Stripe and AI tools ✅ Auto bug-fixing capabilities ✅ Website cloning from screenshots ✅ Built-in UI enhancement options ✅ Marketplace of ready-made apps you can customize The AI app builder space is becoming increasingly competitive, and platforms are starting to differentiate themselves based on how close they get to a production-ready result rather than just generating code. For builders, founders, and creators exploring no-code AI development, it's an interesting category worth watching. Try it today and launch your next project with just a prompt:

Markandey Sharma

49,777 görüntüleme • 29 gün önce

TestSprite 2.1 is out. New to TestSprite? Here's a 3-min walkthrough of what it is and how to get started. 👇 What shipped in 2.1: → GitHub Integration — every PR auto-triggers your full test suite. Failures block the merge. → 4–5x faster testing engine → Visual Test Modification (MCP) The missing layer of the agentic dev workflow.
3:05

TestSprite 2.1 is out. New to TestSprite? Here's a 3-min walkthrough of what it is and how to get started. 👇 What shipped in 2.1: → GitHub Integration — every PR auto-triggers your full test suite. Failures block the merge. → 4–5x faster testing engine → Visual Test Modification (MCP) The missing layer of the agentic dev workflow.

TestSprite

816,700 görüntüleme • 3 ay önce

Today marks 1 month since i started writing code with ai! I just added 2 new AI features to my personal note taking app. (Finally got whisper implemented the way i want with another AI inline typing feature) Fully functional backend. Looking for few ppl who want to test it out and suggest features. Color and design will change lol that's last on the list. Still working on phone view. Claude (2 accounts) + Replit for the whole thing.
1:52

Today marks 1 month since i started writing code with ai! I just added 2 new AI features to my personal note taking app. (Finally got whisper implemented the way i want with another AI inline typing feature) Fully functional backend. Looking for few ppl who want to test it out and suggest features. Color and design will change lol that's last on the list. Still working on phone view. Claude (2 accounts) + Replit for the whole thing.

Riley Brown

12,385 görüntüleme • 1 yıl önce

Everyone's hyped about making money with Al apps. But here's the truth: It's not the code Al writes that makes money... It's the working, bug-free software that actually runs. Here's how even a complete beginner can ship a production-ready app in 3 steps: Step 1: Ask ChatGPT for a PRD (your blueprint). Step 2: Let Cursor (or any coding Al) generate the app. Step 3: Run it through TestSprite → it auto-tests every function, finds bugs, and hands you a fix report inside your IDE. After several test cycles, I had a polished, bug-free gym app live-no debugging required. That's the real Al game-changer: Not just auto-coding. But auto-testing + auto-fixing. TestSprite is already a top-10 Product Hunt tool and the most popular no-code dev tool of 2025. Try it here:
2:28

Everyone's hyped about making money with Al apps. But here's the truth: It's not the code Al writes that makes money... It's the working, bug-free software that actually runs. Here's how even a complete beginner can ship a production-ready app in 3 steps: Step 1: Ask ChatGPT for a PRD (your blueprint). Step 2: Let Cursor (or any coding Al) generate the app. Step 3: Run it through TestSprite → it auto-tests every function, finds bugs, and hands you a fix report inside your IDE. After several test cycles, I had a polished, bug-free gym app live-no debugging required. That's the real Al game-changer: Not just auto-coding. But auto-testing + auto-fixing. TestSprite is already a top-10 Product Hunt tool and the most popular no-code dev tool of 2025. Try it here:

Tulsi Soni

31,968 görüntüleme • 10 ay önce

✨ I tried Claude Code cause Marc Köhlbrugge kept telling me too and asked it to make this inpaint editor for Photo AI I had this idea of some 🌈 holographic paint brush strokes so I just asked it and it one shotted this glowing JS code for , extremely cool because I could never make this myself without AI All vanilla jQuery code also no libraries (as usual) The inpaint editor lets you edit any of your phtoos AND it uses your AI model so even if you touch the face it still looks like your model unlike regular AI image editors! Also this brings my editing (and all my features now) in-house (before it was an embedded Photopea editor)
1:11

✨ I tried Claude Code cause Marc Köhlbrugge kept telling me too and asked it to make this inpaint editor for Photo AI I had this idea of some 🌈 holographic paint brush strokes so I just asked it and it one shotted this glowing JS code for , extremely cool because I could never make this myself without AI All vanilla jQuery code also no libraries (as usual) The inpaint editor lets you edit any of your phtoos AND it uses your AI model so even if you touch the face it still looks like your model unlike regular AI image editors! Also this brings my editing (and all my features now) in-house (before it was an embedded Photopea editor)

@levelsio

256,762 görüntüleme • 11 ay önce