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i did it. i vibe-coded my own vibe-noding app⚡️ lately every ai tool has been announcing some kind of node canvas. they’re all impressive in their own way, but each one solves a different problem, with a different logic, in a different universe. some are too technical, some are... too rigid, most feel like they were designed by a backend engineer. so i built the version i actually want to use. over the last few days i hacked this together with Google Gemini and Google Antigravity. the tool is absurdly capable. i didn’t touch a single line of code. the result is a fully working app with smooth ui animations, smart interactions, and a workflow that doesn’t fight me. my focus isn’t on the models. Nano Banana 2 Lite is already strong enough to generate half a universe on its own. and a year from now, we won’t care about model juggling anyway. we’ll have one model doing everything. the real problem is the workflow. the interface. the flow state. so i optimized for that. the whole point is to keep the technical junk out of the way during ideation and iteration. i want to try an idea, branch it, remix it, explore it, all on a single canvas. every block is editable. every idea is forkable. every path is visible. the design isn’t perfect yet. some of the ui patterns are familiar on purpose. good ideas deserve to be stolen. i rushed it. i let a bunch of great ui decisions die for speed. but it works. and honestly, it feels great to use. future of creating is more organic and more fluid. not just chat bubbles. not rigid feeds. but an intelligent canvas where ideas can grow, split, collapse, or evolve without friction. where the environment quietly adapts to your workflow instead of interrupting it. this is my first version. just for myself, for now. but it’s a start.show more

Synthetic_soul

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239,298 просмотров • 7 месяцев назад •via X (Twitter)

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Right now, I have a few dozen tools to automate my life. Every single thing that I do more than once every week is now a tool: either a Claude Code skill, a scheduled workflow, or an application. • I spend the time doing this once. • I schedule it. • I forget about it (or at least, try to) CREAO is one of the platforms I've used extensively for building some of these automations. They are partnering with me on this post. They are one of the only platforms where you can go from a conversation to a scheduled agent that quickly. This is how it works: 1. You describe the problem you want to solve 2. CREAO's agent builds the logic and executes it 3. You can iterate with the agent to improve the solution 4. When you are done, you turn that solution into a mini app 5. You can schedule that app to run any time you need it Something important: These agents are deterministic. They don't use an LLM to generate answers, so they will always return the same output given the same input. This is critical: when you're automating something that runs every Monday at 9 am, you need it to return the same result every time, not a "creative" answer.

Right now, I have a few dozen tools to automate my life. Every single thing that I do more than once every week is now a tool: either a Claude Code skill, a scheduled workflow, or an application. • I spend the time doing this once. • I schedule it. • I forget about it (or at least, try to) CREAO is one of the platforms I've used extensively for building some of these automations. They are partnering with me on this post. They are one of the only platforms where you can go from a conversation to a scheduled agent that quickly. This is how it works: 1. You describe the problem you want to solve 2. CREAO's agent builds the logic and executes it 3. You can iterate with the agent to improve the solution 4. When you are done, you turn that solution into a mini app 5. You can schedule that app to run any time you need it Something important: These agents are deterministic. They don't use an LLM to generate answers, so they will always return the same output given the same input. This is critical: when you're automating something that runs every Monday at 9 am, you need it to return the same result every time, not a "creative" answer.

Santiago

13,712 просмотров • 3 месяцев назад

I kind of like Gemini 3.0 Flash in Antigravity. It is fast, and the Browser Subagent works great with it. A few days ago, I asked it to rebuild my website entirely based on the existing codebase. It redesigned everything and tested it too. I did not have much time for iteration, but it was good enough, and I deployed it.

I kind of like Gemini 3.0 Flash in Antigravity. It is fast, and the Browser Subagent works great with it. A few days ago, I asked it to rebuild my website entirely based on the existing codebase. It redesigned everything and tested it too. I did not have much time for iteration, but it was good enough, and I deployed it.

AshutoshShrivastava

41,433 просмотров • 6 месяцев назад

There are now 30+ alternatives to OpenClaw. But, I still have not found one that is as good overall. Why? Because OpenClaw hits the sweet spot. It is smooth. It is easy to use. It comes with its own UI gateway. Some alternatives are more secure, but the UI is worse. Others are more lightweight, but way more technical to set up. OpenClaw has the best balance of power, simplicity, and usability.

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Julian Goldie SEO

10,741 просмотров • 3 месяцев назад

SECRET AI POWER TOOL. All modern Apple iOS phones have a a free powerful tool called “Recorder”. Not only is it a great way to take “notes”, it is a great way to get text to train your AI mode on your ideas, questions or statements. The built-in speech-to-text I use hourly. In fact this posting was made this way last night while I was driving. I also have been carrying a full off-Internet local voice memo device for decades for all of my audio interactions (WITH PERMISSION), not to use as evidence, but to build my high context AI, I call The Intelligence Amplifier. The Recorder app is used by me as a way to make quick snippets of my intentional audio. It is a “secret” to many, but I can say it is one. Very powerful free AI tool. I trained a small AI model on small engine repair by having a 71 year mechanic still working just explain in words everything he is doing over the course of 6 months, just his guiding voice. I hope to one source this. I also use this to send long prompts to Mr. Grok CEO ideas I have in our board of directors meetings. Give it a try. The dots in the upper right corner will have a Transcription option.

SECRET AI POWER TOOL. All modern Apple iOS phones have a a free powerful tool called “Recorder”. Not only is it a great way to take “notes”, it is a great way to get text to train your AI mode on your ideas, questions or statements. The built-in speech-to-text I use hourly. In fact this posting was made this way last night while I was driving. I also have been carrying a full off-Internet local voice memo device for decades for all of my audio interactions (WITH PERMISSION), not to use as evidence, but to build my high context AI, I call The Intelligence Amplifier. The Recorder app is used by me as a way to make quick snippets of my intentional audio. It is a “secret” to many, but I can say it is one. Very powerful free AI tool. I trained a small AI model on small engine repair by having a 71 year mechanic still working just explain in words everything he is doing over the course of 6 months, just his guiding voice. I hope to one source this. I also use this to send long prompts to Mr. Grok CEO ideas I have in our board of directors meetings. Give it a try. The dots in the upper right corner will have a Transcription option.

Brian Roemmele

27,193 просмотров • 2 месяцев назад

Haters gonna hate but: VEO 2 and Google just blew everyone else out of the water. 🔈ON I just came out of a very short night as I just couldn't stop creating and here's the result and a small walkthrough of my experience with the tool: It felt like exploring new worlds, easily blending styles and aesthetics but also being absolutely amazing at understanding small variations. I love my scene but I want snow blowing towards the camera? No problem. I like the video but I would have wanted some claymation? Sure, got you covered. The vast majority of what I threw its way was understood and worked out: night shot, flash light, stop-motion, first person, watercolor, pixel art, etc. I even tried complicated prompts using mirrors and having a person repeatedly reflect in a "bug-in-the matrix-ouch-my-brain" fashion and it worked..you can actually see it in the montage with the man in the blue shirt. Impressive. I have been trying each and every GenAI video tool over the last couple of years and the results for a mere text-to-video are simply in a totally different category than all the others on the market right now...including Sora. I am not even sure where to start: - Resolution in 720p - Prompt adherence is of the highest level, it understands complex scenes and creations, very long prompts with highly detailed explanations of the expectation, camera movements, descriptions, mood, etc. - Format is 8 sec but during those 8 second it understands when you ask for jump cuts or some kind of in-clip editing thanks for the extra angle and scene + character adherence on those cuts VEO. - It is great at creating different styles. It struggled a little with some very specific elements such as asking for an animated oil painting but this is fair... - Generations are fast but it might be because this is an early access - This is the first time I precisely describe the scene I have in my head and actually get it directly or close to it. I had to go for some reroll on some of them but it wasn't because of hallucinations but rather because I felt like I could prompt a little better and fine-tune the output - It is great at filling the gaps in terms of environmental animation - Movements are realistic, some small hallucinations if I try to get a swordfight for example but still lightyears from all the other tools

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Henry Daubrez 🌸💀

75,618 просмотров • 1 год назад

Can we call this AI directing? 😂 Seedance 2.0 with the Omni Reference feature honestly feels like a total game changer. Summer Trip is one of my film which I made used Omni Reference, not only start frame anymore and for the first time, it genuinely feels like I’m directing the AI instead of just prompting it. The reasoning in Seedance 2.0 is seriously impressive. It understands intent in a way that feels collaborative. Of course, in production it still needs proper touch-ups in post, grading, timing, polishing details, but the foundation it gives is strong. Like it or not, we’re already here. And to be honest, my workflow has to evolve too. I can’t approach this the same way I did before. It’s less about generating random shots and more about guiding, refining, and thinking like a director from the start. Personally, I see this as a shift, not replacing filmmaking, but reshaping the role of the filmmaker. Now the question isn’t “Can AI make it?” but “How well can you direct it?”

Can we call this AI directing? 😂 Seedance 2.0 with the Omni Reference feature honestly feels like a total game changer. Summer Trip is one of my film which I made used Omni Reference, not only start frame anymore and for the first time, it genuinely feels like I’m directing the AI instead of just prompting it. The reasoning in Seedance 2.0 is seriously impressive. It understands intent in a way that feels collaborative. Of course, in production it still needs proper touch-ups in post, grading, timing, polishing details, but the foundation it gives is strong. Like it or not, we’re already here. And to be honest, my workflow has to evolve too. I can’t approach this the same way I did before. It’s less about generating random shots and more about guiding, refining, and thinking like a director from the start. Personally, I see this as a shift, not replacing filmmaking, but reshaping the role of the filmmaker. Now the question isn’t “Can AI make it?” but “How well can you direct it?”

Dinda Prasetyo

29,385 просмотров • 4 месяцев назад

just dropped my first video in a 5 part series where we build a full travel planner app on Replit and i am so excited 🌍✈️ as a software engineer, design has always felt a little out of reach for me. like i had all these ideas in my head but turning them into something that actually looks good was a whole other skill set. but the Replit Canvas genuinely changed that for me. my favourite way to use the Canvas is to bring in reference images and websites to help me to create designs! in this first video we jump into the Canvas, explore design directions for our travel app, and apply a final look to a real working app. it is so fun i promise. go watch it and let me know what you think 🎨👇

just dropped my first video in a 5 part series where we build a full travel planner app on Replit and i am so excited 🌍✈️ as a software engineer, design has always felt a little out of reach for me. like i had all these ideas in my head but turning them into something that actually looks good was a whole other skill set. but the Replit Canvas genuinely changed that for me. my favourite way to use the Canvas is to bring in reference images and websites to help me to create designs! in this first video we jump into the Canvas, explore design directions for our travel app, and apply a final look to a real working app. it is so fun i promise. go watch it and let me know what you think 🎨👇

sarah li

18,519 просмотров • 2 месяцев назад

250709 | #ATEEZ #Hongjoong on how creative expression beyond music inspires his growth as an artist , TOKTOQ pop (voice) live (rough translation): I’m also studying design and slowly creating things on my own, step by step. I’ve said something similar before, but honestly - who knows what might happen in the distant future, right? For now, though, I’m still in the process of learning more about myself - my tastes, my design style, and how I work. And I know that if I ever do create something, our ATINYs would definitely take interest and support it. But as I continue getting to know myself, I just want to say - and I’ll say this clearly - I have absolutely no intention of starting a brand or selling anything at this point. Not even a little bit. Right now, I just see this - working and designing - as another way of expressing myself. That’s all it is. At least for now, I don’t have any plans beyond that. So I know there are people who hope I might do something more with this, and on the other hand, there may also be some fans who start to wonder, “Is he planning something?” - and maybe feel a bit uneasy about it. Because it could seem like I’m taking on too much or not focusing on my main work. But I’m very aware of that myself, and honestly, I don’t want that to happen. I really don’t. So to be clear - I’ll say it firmly - I don’t have any such plans right now. It all started simply because I wanted to try wearing clothes from different brands, and eventually, I thought, “I want to wear what I want,” or “I want to create something I’d like to wear.” That’s the situation I’m in. I just want to keep expressing myself. As long as it doesn’t become a burden for me or interfere with my schedule, I’d love to keep doing fun and creative things and share them with our ATINYs. So… it’s really just that. Since I’ve been using something like a stylized “HJ” - kind of like a personal mark - some people might start thinking, “Oh, is he launching a brand?” But absolutely not. That’s not the case at all. I’ve just been adding that mark to the clothes I make because I think it looks nice, and it kind of makes it feel like it’s mine. That’s really all there is to it. To be honest, I do want to make a tag eventually, but the design isn’t fully clear in my head yet - I haven’t figured it out. So for now, I’m just using the logo that’s in my mind. And honestly, it’s not like I’m trying to hide anything or doing something secretly behind my members’ backs. I just wanted to talk about it openly and put it out there. Because that way, I can really have fun with it. And if our ATINYs say, “Oh, that looks nice,” then I can just feel happy about it as it is. And even if I end up making something that doesn’t turn out so great sometimes, if ATINYs say, “You made that?” - even that, I can just laugh and enjoy it for what it is. So that’s what it is. That’s really the reason. Continuously creating - not just in music, but in other areas too - gives me so much energy. And I truly believe that this kind of creativity brings new inspiration to my performances as well. I think that’s what it is - the process of constantly making something new gives me another kind of drive, another kind of motivation. That’s what it feels like to me. So… that’s why I enjoy it. And honestly, that’s also why - even more so - I feel more motivated when it comes to things like choreography practice, or even just the basics of rapping. It makes me want to put in even more effort.

Irene | AhgaTiny🍋

27,502 просмотров • 1 год назад

Pragmata Review | No spoilers That is it for me. I played more than 30 hours of Pragmata and I am really happy that not only we finally got this game after so many delays and in a time where cancellations are common, but also that it turned out to be a very solid and enjoyable experience. Visually it is beautiful, and gameplay wise it works well for the length it has. It is not a long game, which I personally prefer, and I hope we see more titles like this instead of games trying to be longer just for the sake of it. I would not call it short like some people did, but I think it is exactly as long as it needs to be. Story wise, it is my favorite of the year so far. Seeing this kind of father and daughter dynamic again made me want to play more games with similar themes. I did almost everything in the game and I absolutely recommend it. If you are unsure about the length, maybe wait for a sale, but quality wise it deserves to be up there. I am not someone who rushes, so it took me longer because I admire the environments, take screenshots, record videos, and try to find collectibles without guides. For someone who just plays straight through, I think it would take around 12 to 15 hours, maybe a bit more or less. This is the kind of experience I want to see more often in the gaming space. I liked the combat and I think the enemy variety is fine for the length. If the game was longer without adding new enemy types, it would probably feel repetitive, but for what it is, it works. My biggest concern before playing was the combination of Hugh’s shooting and Diana’s hacking. If it was too complicated, it would be annoying, and if it was too simple, it would be boring. Thankfully, it ended up being exactly right. My only real complaint is that you need to return to the base to restock items, and when you die, the game sends you back there instead of placing you right before the area or at the last travel point you unlocked. It is not a huge issue, but it breaks the flow a bit. Diana is very cute and does her part extremely well, and Hugh is a character that is hard not to like. They both nail the dad simulator vibe. The voice acting is great, especially for Diana. Capcom delivered a unique and impressive new IP, which is always welcome in an industry where big publishers mostly rely on established franchises instead of taking risks. Whether we get more entries in the future is up to them, but it is also up to us to support games like this if we want more of them. On PC the game runs very well. The only thing that felt a bit underwhelming to me is the ray tracing when you use it on its own without path tracing. In some areas it does not add much, similar to what I noticed in Resident Evil Requiem. It makes me think it is either something with the RE Engine or simply that Capcom does not push ray tracing that far and focuses more on path tracing instead. Path tracing looks incredible, but of course it comes with a heavy performance cost. Something that impressed me throughout the entire playthrough is how consistent the game feels from start to finish. There is no point where it suddenly drops in quality or feels rushed. Every area has its own atmosphere, the pacing stays steady, and the game never tries to drag itself out longer than needed. It is rare to play something that stays this steady all the way through, and that alone made the whole experience even more enjoyable for me. I hope we get a DLC or a sequel one day, but even if this stays a one off, I am happy with what we got. Rating: 9/10

Pragmata Review | No spoilers That is it for me. I played more than 30 hours of Pragmata and I am really happy that not only we finally got this game after so many delays and in a time where cancellations are common, but also that it turned out to be a very solid and enjoyable experience. Visually it is beautiful, and gameplay wise it works well for the length it has. It is not a long game, which I personally prefer, and I hope we see more titles like this instead of games trying to be longer just for the sake of it. I would not call it short like some people did, but I think it is exactly as long as it needs to be. Story wise, it is my favorite of the year so far. Seeing this kind of father and daughter dynamic again made me want to play more games with similar themes. I did almost everything in the game and I absolutely recommend it. If you are unsure about the length, maybe wait for a sale, but quality wise it deserves to be up there. I am not someone who rushes, so it took me longer because I admire the environments, take screenshots, record videos, and try to find collectibles without guides. For someone who just plays straight through, I think it would take around 12 to 15 hours, maybe a bit more or less. This is the kind of experience I want to see more often in the gaming space. I liked the combat and I think the enemy variety is fine for the length. If the game was longer without adding new enemy types, it would probably feel repetitive, but for what it is, it works. My biggest concern before playing was the combination of Hugh’s shooting and Diana’s hacking. If it was too complicated, it would be annoying, and if it was too simple, it would be boring. Thankfully, it ended up being exactly right. My only real complaint is that you need to return to the base to restock items, and when you die, the game sends you back there instead of placing you right before the area or at the last travel point you unlocked. It is not a huge issue, but it breaks the flow a bit. Diana is very cute and does her part extremely well, and Hugh is a character that is hard not to like. They both nail the dad simulator vibe. The voice acting is great, especially for Diana. Capcom delivered a unique and impressive new IP, which is always welcome in an industry where big publishers mostly rely on established franchises instead of taking risks. Whether we get more entries in the future is up to them, but it is also up to us to support games like this if we want more of them. On PC the game runs very well. The only thing that felt a bit underwhelming to me is the ray tracing when you use it on its own without path tracing. In some areas it does not add much, similar to what I noticed in Resident Evil Requiem. It makes me think it is either something with the RE Engine or simply that Capcom does not push ray tracing that far and focuses more on path tracing instead. Path tracing looks incredible, but of course it comes with a heavy performance cost. Something that impressed me throughout the entire playthrough is how consistent the game feels from start to finish. There is no point where it suddenly drops in quality or feels rushed. Every area has its own atmosphere, the pacing stays steady, and the game never tries to drag itself out longer than needed. It is rare to play something that stays this steady all the way through, and that alone made the whole experience even more enjoyable for me. I hope we get a DLC or a sequel one day, but even if this stays a one off, I am happy with what we got. Rating: 9/10

𝑨𝒔𝒉𝒆𝒏 𝑶𝒏𝒆

32,822 просмотров • 2 месяцев назад

Ever since I wired Claude Code to WhatsApp 3 weeks ago, I built a stupidly large infra around it. I mean, opus built it. No clue how the code even looks. The entire thing was vibe coded using my phone. I wanted to see how far I could push it without touching the computer. Everything via WhatsApp. Build what I need on the fly. So the resulting infrastructure will already be battle tested for software development. The entire thing was streamlined with nearly no manual interventions, everything was communicated via WhatsApp using a single script establishing this connection. If the script is down, I need to get home to start it again to resume the development. Claude was upgrading it, debugging it, restarting it while maintaining constant uptime so it could keep communicating with me. I stressed Claude about it, telling it that it will be “in the dark” and other words that deliberately sound scary about losing communications if the script dies. I also refused git and refused cloning the code, I wanted to see Claude adapting to work on a *LIVING* system. The way this whole thing works: Claude has its own dedicated phone number that I am paying for. A real WhatsApp account for it is installed on a real iPhone that is sitting on my desk. All is registered under my name, this is legit setup with no hacks and tricks. I’ve set up a WhatsApp “Community” and multiple different groups under it. Both me and Claude are the admins, so Claude could edit it on my behalf. Each group is a project I am working on and has its own isolated context. The Group description is a system prompt that gets auto-appended to the larger system prompt explaining this setup in general. When I send a message it’s an instant interrupt to Claude Code’s process, just like in the terminal. Voice notes are seamlessly transcribed with a local Whisper model. Images are used with multimodal reading in an isolated parallel session. Multiple groups running in parallel so I can work on all projects at the same time. No cross-talking, everything has an isolated context and history. And because it’s local on my own machine: Everything is REAL. The browser is REAL. I am connected as myself on it to all services because I actually use it in real life. Claude has unlimited internet access, just like humans who use actual browsers. It utilizes custom-made browser tools that I made to control any browser session it wants. Depending on the situation, it can either connect to my existing session or create one for its own. (You can tell it ‘look at my browser for a sec’ then talk about the current page you are on and it just works, pretty cool) My custom browser tools are not perfect (not by a long shot) but I managed to make them work well to the point they are somewhat reliable. This gives Claude full access to my real creds and all the services I actually use. I’m productive AS HELL with this. It really feels like a personal assistant. I ask it to read my emails and msgs, check x .com for news, research arxiv papers, write code, run experiments for me, investigate and reverse engineer github repos, even use my credit card and order things. [I try not to do this one a lot lol so far no disasters]. All from my phone. Super convenient. This is not a product or an open source project (maybe soon of it will make sense). This is just an ugly script I hacked the entire thing is ~600 lines. (ok maybe i did look at the code, but i swear i didn’t edit!) You can also vibe code this from scratch pretty fast and it will probably even end up better. This is just a cool thing so I’m sharing. It is a real speed booster for many things I do on daily basis, mostly boring things. Forcing my routine into some new “agent platform” just didn’t feel right for me. WhatsApp is where I already communicate and look for messages, so I decided that my agents will live there too. AGI in my pocket 24/7.

Ever since I wired Claude Code to WhatsApp 3 weeks ago, I built a stupidly large infra around it. I mean, opus built it. No clue how the code even looks. The entire thing was vibe coded using my phone. I wanted to see how far I could push it without touching the computer. Everything via WhatsApp. Build what I need on the fly. So the resulting infrastructure will already be battle tested for software development. The entire thing was streamlined with nearly no manual interventions, everything was communicated via WhatsApp using a single script establishing this connection. If the script is down, I need to get home to start it again to resume the development. Claude was upgrading it, debugging it, restarting it while maintaining constant uptime so it could keep communicating with me. I stressed Claude about it, telling it that it will be “in the dark” and other words that deliberately sound scary about losing communications if the script dies. I also refused git and refused cloning the code, I wanted to see Claude adapting to work on a LIVING system. The way this whole thing works: Claude has its own dedicated phone number that I am paying for. A real WhatsApp account for it is installed on a real iPhone that is sitting on my desk. All is registered under my name, this is legit setup with no hacks and tricks. I’ve set up a WhatsApp “Community” and multiple different groups under it. Both me and Claude are the admins, so Claude could edit it on my behalf. Each group is a project I am working on and has its own isolated context. The Group description is a system prompt that gets auto-appended to the larger system prompt explaining this setup in general. When I send a message it’s an instant interrupt to Claude Code’s process, just like in the terminal. Voice notes are seamlessly transcribed with a local Whisper model. Images are used with multimodal reading in an isolated parallel session. Multiple groups running in parallel so I can work on all projects at the same time. No cross-talking, everything has an isolated context and history. And because it’s local on my own machine: Everything is REAL. The browser is REAL. I am connected as myself on it to all services because I actually use it in real life. Claude has unlimited internet access, just like humans who use actual browsers. It utilizes custom-made browser tools that I made to control any browser session it wants. Depending on the situation, it can either connect to my existing session or create one for its own. (You can tell it ‘look at my browser for a sec’ then talk about the current page you are on and it just works, pretty cool) My custom browser tools are not perfect (not by a long shot) but I managed to make them work well to the point they are somewhat reliable. This gives Claude full access to my real creds and all the services I actually use. I’m productive AS HELL with this. It really feels like a personal assistant. I ask it to read my emails and msgs, check x .com for news, research arxiv papers, write code, run experiments for me, investigate and reverse engineer github repos, even use my credit card and order things. [I try not to do this one a lot lol so far no disasters]. All from my phone. Super convenient. This is not a product or an open source project (maybe soon of it will make sense). This is just an ugly script I hacked the entire thing is ~600 lines. (ok maybe i did look at the code, but i swear i didn’t edit!) You can also vibe code this from scratch pretty fast and it will probably even end up better. This is just a cool thing so I’m sharing. It is a real speed booster for many things I do on daily basis, mostly boring things. Forcing my routine into some new “agent platform” just didn’t feel right for me. WhatsApp is where I already communicate and look for messages, so I decided that my agents will live there too. AGI in my pocket 24/7.

Yam Peleg

419,471 просмотров • 6 месяцев назад

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

Nick Babich

53,320 просмотров • 5 месяцев назад

I’m so sorry but this is the new worst Mega design out of EVERY Mega IMO. Never liked Floette,this was a chance to make it more epic,or at the very least just make its actual face or body a bit different…instead they just give it a bigger,more boring flower I havent beat the game yet and I know this is a Mega exists for the story, but it doesn’t matter. This design and its animations below is what we get and it’s just so uninteresting and uninspired. Sure it’s the same concept as Mega Kangaskhan…but worse. Only the flower Mega Evolves but the flower isn’t a pokemon, it doesn’t have a character or a face (or a good animation to demonstrate its own sentience). I get that it’s because it’s following the whole Floette line gimmick of just their flowers changing. But it’s just not good. I would’ve at least preferred that it evolved into Florges gained a new color and then its Mega would just gain this same flower🤷‍♂️ The shiny is bad too lol

I’m so sorry but this is the new worst Mega design out of EVERY Mega IMO. Never liked Floette,this was a chance to make it more epic,or at the very least just make its actual face or body a bit different…instead they just give it a bigger,more boring flower I havent beat the game yet and I know this is a Mega exists for the story, but it doesn’t matter. This design and its animations below is what we get and it’s just so uninteresting and uninspired. Sure it’s the same concept as Mega Kangaskhan…but worse. Only the flower Mega Evolves but the flower isn’t a pokemon, it doesn’t have a character or a face (or a good animation to demonstrate its own sentience). I get that it’s because it’s following the whole Floette line gimmick of just their flowers changing. But it’s just not good. I would’ve at least preferred that it evolved into Florges gained a new color and then its Mega would just gain this same flower🤷‍♂️ The shiny is bad too lol

SoulSilverArt

1,681,503 просмотров • 8 месяцев назад

I built a multiplayer embroidery sampler for the internet. It's called Common Thread. 🪡 Built the entire thing in Figma Make, first thing I've ever vibecoded with it. Every visitor gets a patch on a shared canvas. You pick a thread color, choose a stitch type, and craft your art. A sampler is a piece of fabric where you practice and collect different stitches — a reference guide and playground in one. They were meant to be passed between hands and added to over time. Common Thread is that, but the fabric is infinite, the UI is whimsical, and the hands are anonymous. The part I love most: you can snap any section with a draggable embroidery hoop and export it, framed. i love how Figma Make is a kind of tool that lets you focus on what something should feel like, not how to ship it. Made for the Contra x Figma Makethon #FigmaMakeathon Try it yourself! /link below/

I built a multiplayer embroidery sampler for the internet. It's called Common Thread. 🪡 Built the entire thing in Figma Make, first thing I've ever vibecoded with it. Every visitor gets a patch on a shared canvas. You pick a thread color, choose a stitch type, and craft your art. A sampler is a piece of fabric where you practice and collect different stitches — a reference guide and playground in one. They were meant to be passed between hands and added to over time. Common Thread is that, but the fabric is infinite, the UI is whimsical, and the hands are anonymous. The part I love most: you can snap any section with a draggable embroidery hoop and export it, framed. i love how Figma Make is a kind of tool that lets you focus on what something should feel like, not how to ship it. Made for the Contra x Figma Makethon #FigmaMakeathon Try it yourself! /link below/

charlota

518,959 просмотров • 4 месяцев назад

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

Lovis Odin

58,571 просмотров • 9 месяцев назад

BIG EPIC NOTHING IS FINALLY HERE 🦋 It started as a folder on my computer, and now it’s an album that will exist in the universe forever. I am incredibly proud of this body of work as I continue to refine my sound and vision. I am even more so grateful for those of you who will be enjoying it. This community we’ve built together with the Grabbitz Gang means a whole lot to me, and it is incredible to see it grow every single day, at every single show, across every single album. This collection of songs is no longer mine, it is yours. Please take it and create your connections with the music. Providing that experience is what I was put here to do. With all the love in the world, Grab

BIG EPIC NOTHING IS FINALLY HERE 🦋 It started as a folder on my computer, and now it’s an album that will exist in the universe forever. I am incredibly proud of this body of work as I continue to refine my sound and vision. I am even more so grateful for those of you who will be enjoying it. This community we’ve built together with the Grabbitz Gang means a whole lot to me, and it is incredible to see it grow every single day, at every single show, across every single album. This collection of songs is no longer mine, it is yours. Please take it and create your connections with the music. Providing that experience is what I was put here to do. With all the love in the world, Grab

grabbitz

11,015 просмотров • 1 год назад

This might be the best "AI Engineer" I've tried so far. I'm an old school developer who started 30 years ago. I feel very uncomfortable letting AI take control of my code, but for the sake of science, I spent two hours building an application that took me weeks to build a couple of years ago. I used Pythagora, a brand new tool backed by Y Combinator. They just released to the public. Keep in mind that I use AI every day to write code, but Pythagora is something different: it's a tool that leads, and uses you—the human—as the copilot. I go into more details in the video, but here is the TLDR; 1. Holy molly! We've made a ton of progress on this front! This is way better than Devin when I tested it a few months back. 2. Love the approach of generating a plan with sub-tasks before writing any code. 3. The tools never tries to do too much: it tackles every small task one at a time, and gives you instructions so you test everything. 4. It does exactly what you'd do when it gets stuck: writes a bunch of logs and uses those to correct itself. Pretty neat! 5. It's fast. It runs locally. It's an extension to Visual Studio Code. I'm impressed, but I don't think this tool is for me. I'm not the type of developer who's ready to relinquish control. I felt I had no connection with the code because I didn't write it. It was not my code. I know many people who don't care about this. I know many people who will get tremendous value out of Pythagora. I hope they keep pushing the limits, providing feedback, and helping this get to a point where old folks like me feel more comfortable using it. Don't take my word for it. The best thing you can do is to give it a try and see how you feel using it. Thanks to the team who built this, for all of the explanations and support, and especially, for sitting and listening to my dumb questions for 2 hours while I tested this.

Santiago

211,993 просмотров • 1 год назад

Here is the first look of the Financial Model for Pakistan Stock Exchange we have built. At this moment, I don't know if it will be successful or not. Yet it's backtesting has given promising results. I believe it is real time and future testing that matters the most. To make it transparent, I will keep on updating on "X" the top picks from the Model. I request you not to invest a single money based on it's results because it is in the early stage. Every feedback from your side would be highly encouraged. The problem was that investors only see MARI, FFC, ,OGDC PPL, MEBL, Luck like companies because they are mainstream. But remember that there are 457 listed companies and there are some hidden gems that are usually missed by retail investors like us. One such example was SSOM that just exploded in few weeks. Thats why, the purpose of the model was to find those companies that have a lot of potential but are not covered by any brokerage house and yet there results are excellent. Based on this model, some time back, I added positions in companies like AGIL (Agri Autos) SPEL (Synthetic Papers ltd), NATF (National Foods), KSB Pumps, Treet. Because scores of all these companies is excellent. They remained stagnant for long time so my conviction on the model was also declining. But it were last two weeks that made a difference and so was my own conviction on this model. Big names like Wealth ⚡️ Wise Value Investor Doctor in PSX Tayyab 🇵🇰 are already aware of it. On Thursday I added HCAR. I will keep you updated just for testing purpose I again repeat not to invest. I will risk my own money. If it is successful, we intend to make a website where you all have access to this data. How it works and how to read it, I will explain it to you in a separate thread.

Here is the first look of the Financial Model for Pakistan Stock Exchange we have built. At this moment, I don't know if it will be successful or not. Yet it's backtesting has given promising results. I believe it is real time and future testing that matters the most. To make it transparent, I will keep on updating on "X" the top picks from the Model. I request you not to invest a single money based on it's results because it is in the early stage. Every feedback from your side would be highly encouraged. The problem was that investors only see MARI, FFC, ,OGDC PPL, MEBL, Luck like companies because they are mainstream. But remember that there are 457 listed companies and there are some hidden gems that are usually missed by retail investors like us. One such example was SSOM that just exploded in few weeks. Thats why, the purpose of the model was to find those companies that have a lot of potential but are not covered by any brokerage house and yet there results are excellent. Based on this model, some time back, I added positions in companies like AGIL (Agri Autos) SPEL (Synthetic Papers ltd), NATF (National Foods), KSB Pumps, Treet. Because scores of all these companies is excellent. They remained stagnant for long time so my conviction on the model was also declining. But it were last two weeks that made a difference and so was my own conviction on this model. Big names like Wealth ⚡️ Wise Value Investor Doctor in PSX Tayyab 🇵🇰 are already aware of it. On Thursday I added HCAR. I will keep you updated just for testing purpose I again repeat not to invest. I will risk my own money. If it is successful, we intend to make a website where you all have access to this data. How it works and how to read it, I will explain it to you in a separate thread.

Shayan Baig

52,050 просмотров • 1 год назад

Two years ago today, Elon Musk introduced xAI with these words: “The overarching goal of xAI is to build a good AGI with the purpose of trying to understand the universe. I think the safest AI, the safest way to build an AI is actually make one that is maximally curious and truth seeking. So you go for try to aspire to the truth with acknowledged error. Does one ever actually get fully to the truth? It's not clear, but one should always aspire to that and try to minimize the error between what you think is true and what is actually true. My theory behind the maximally curious, maximally truthful as being probably the safest approach is that I think to a superintelligence, humanity is much more interesting than not humanity. One can look at the various planets in our solar system, the moons and the asteroids, and really probably all of them combined are not as interesting as humanity. As people know, I'm a huge fan of Mars, but Mars is just much less interesting than Earth with humans on it. And so I think that that kind of approach to growing an AI, and I think that is the right word for it, growing an AI is to grow it with that ambition. I've spent many years thinking about AI safety and worrying about AI safety. And I've been one of the strongest voices calling for AI regulation or oversight just to have some kind of oversight, some kind of referee, so that it's not just up to companies to decide what they want to do. I think there's also a lot to be done with AI safety, with industry cooperation. I kind of like Motion Pictures association, so I think there's value to that as well. But I do think there's got to be some like in any kind of situation that is, even if it's a game, they have referees. So I think it is important for there to be regulation. Like I said, my view on safety is like try to make it maximally curious, maximally truth seeking. And I think this is, this is important that you to avoid the inverse morality problem. Like if you try to program a certain morality, you can have the, you, you can basically invert it and get the opposite, what is sometimes called the Waluigi problem. If you make Luigi, you risk creating Waluigi at the same time. So I think that's a metaphor that a lot of people can appreciate.”

Two years ago today, Elon Musk introduced xAI with these words: “The overarching goal of xAI is to build a good AGI with the purpose of trying to understand the universe. I think the safest AI, the safest way to build an AI is actually make one that is maximally curious and truth seeking. So you go for try to aspire to the truth with acknowledged error. Does one ever actually get fully to the truth? It's not clear, but one should always aspire to that and try to minimize the error between what you think is true and what is actually true. My theory behind the maximally curious, maximally truthful as being probably the safest approach is that I think to a superintelligence, humanity is much more interesting than not humanity. One can look at the various planets in our solar system, the moons and the asteroids, and really probably all of them combined are not as interesting as humanity. As people know, I'm a huge fan of Mars, but Mars is just much less interesting than Earth with humans on it. And so I think that that kind of approach to growing an AI, and I think that is the right word for it, growing an AI is to grow it with that ambition. I've spent many years thinking about AI safety and worrying about AI safety. And I've been one of the strongest voices calling for AI regulation or oversight just to have some kind of oversight, some kind of referee, so that it's not just up to companies to decide what they want to do. I think there's also a lot to be done with AI safety, with industry cooperation. I kind of like Motion Pictures association, so I think there's value to that as well. But I do think there's got to be some like in any kind of situation that is, even if it's a game, they have referees. So I think it is important for there to be regulation. Like I said, my view on safety is like try to make it maximally curious, maximally truth seeking. And I think this is, this is important that you to avoid the inverse morality problem. Like if you try to program a certain morality, you can have the, you, you can basically invert it and get the opposite, what is sometimes called the Waluigi problem. If you make Luigi, you risk creating Waluigi at the same time. So I think that's a metaphor that a lot of people can appreciate.”

ELON CLIPS

21,519 просмотров • 11 месяцев назад

✨ Made a new mini feature on Photo AI: [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!

✨ Made a new mini feature on Photo AI: [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!

@levelsio

119,210 просмотров • 1 год назад

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen

Moon Dev

25,967 просмотров • 3 месяцев назад