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Milind S

@milindlabs • 3,229 subscribers

Check out https://t.co/TpQZ5WbUtE and https://t.co/0sQNkzgbO4 and https://t.co/CIM33zj0AD

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I am using GPT-6 Astra as my Chief of Staff its undoubtedly the best model for running your business on Let Astra spawn a bunch of Luna, Sonnets or GLM even and see the magic Live on OpenMausBot And yes its open source

I am using GPT-6 Astra as my Chief of Staff its undoubtedly the best model for running your business on Let Astra spawn a bunch of Luna, Sonnets or GLM even and see the magic Live on OpenMausBot And yes its open source

41,925 просмотров

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I made an Open Source version of the Grok Bot complete with all the features It does not need any subscriptions at all and uses the existing subscriptions you already have It can spin up virtual machines from ascii It uses Cua for computer use It also has plugin support supporting all the integrations by Composio Routines coming soon :D Link to the repo in the comments

I made an Open Source version of the Grok Bot complete with all the features It does not need any subscriptions at all and uses the existing subscriptions you already have It can spin up virtual machines from ascii It uses Cua for computer use It also has plugin support supporting all the integrations by Composio Routines coming soon :D Link to the repo in the comments

435,364 просмотров • 26 дней назад

We made an open-source Grok Bot for iOS. Actually… we didn’t make it. The community did. OpenMausBot has now crossed 1.7K stars on GitHub, and some genuinely incredible people have been contributing to it this beautiful iOS app is a direct result of that. we’re shipping at an absolutely ridiculous pace It was a pretty overwhelming week with all the PRs and issues coming in but the app is so good now I’m dropping the TestFlight link in our Discord channel Come try it, break it, share your feedback, and help us shape what comes next. See you there. I genuinely cannot wait for you to use it. Android coming soon All open source, including the app, built by the community

We made an open-source Grok Bot for iOS. Actually… we didn’t make it. The community did. OpenMausBot has now crossed 1.7K stars on GitHub, and some genuinely incredible people have been contributing to it this beautiful iOS app is a direct result of that. we’re shipping at an absolutely ridiculous pace It was a pretty overwhelming week with all the PRs and issues coming in but the app is so good now I’m dropping the TestFlight link in our Discord channel Come try it, break it, share your feedback, and help us shape what comes next. See you there. I genuinely cannot wait for you to use it. Android coming soon All open source, including the app, built by the community

59,760 просмотров • 12 дней назад

I’m reverse-engineering the Google AI mouse pointer and making it Open Source! It sees your screen. You can freeform paint anything and ask AI to modify it. It understands the app or window you mean. It can click, type, edit, navigate, and even write + execute code. A tiny cursor becoming a real computer-use agent. Made with the help of Cua which is an AMAZING reference for computer use Sorry Google DeepMind but I had to do this heyclicky Started a revolution and we will be the ones to win Also credits to Omkar Satpute for the help Feel free to modify it , update it and make it your own, we gotta beat them at this. Link to the repo in the comments:

I’m reverse-engineering the Google AI mouse pointer and making it Open Source! It sees your screen. You can freeform paint anything and ask AI to modify it. It understands the app or window you mean. It can click, type, edit, navigate, and even write + execute code. A tiny cursor becoming a real computer-use agent. Made with the help of Cua which is an AMAZING reference for computer use Sorry Google DeepMind but I had to do this heyclicky Started a revolution and we will be the ones to win Also credits to Omkar Satpute for the help Feel free to modify it , update it and make it your own, we gotta beat them at this. Link to the repo in the comments:

215,429 просмотров • 3 месяцев назад

I took Clicky and I made it 5x Faster So I saw that Farza 🇵🇰🇺🇸 was using uses Claude's vision to find UI elements on screen, send a screenshot, wait for coordinates back. It works, but it's slow. I replaced that with OmniParser V2 by Microsoft which is a local Object detection model trained specifically on UI elements. It runs on-device, detects every button, menu, and icon in 400ms, and gives me pixel-precise coordinates. No API call, no latency, no cost. The green highlights you see around the UI elements is the detection overlay and you can see as I am switching the screen it takes no time to detect and highlight which is pretty neat! With Local models improving by the day, Its the right direction for applications like these. Next up: video-synced tutorials where a YouTube tutorial pauses and waits for you to perform each action in the real app. I am not stopping!

I took Clicky and I made it 5x Faster So I saw that Farza 🇵🇰🇺🇸 was using uses Claude's vision to find UI elements on screen, send a screenshot, wait for coordinates back. It works, but it's slow. I replaced that with OmniParser V2 by Microsoft which is a local Object detection model trained specifically on UI elements. It runs on-device, detects every button, menu, and icon in 400ms, and gives me pixel-precise coordinates. No API call, no latency, no cost. The green highlights you see around the UI elements is the detection overlay and you can see as I am switching the screen it takes no time to detect and highlight which is pretty neat! With Local models improving by the day, Its the right direction for applications like these. Next up: video-synced tutorials where a YouTube tutorial pauses and waits for you to perform each action in the real app. I am not stopping!

73,349 просмотров • 4 месяцев назад

People are overlooking Google Gemini Realtime models for computer use It gave me sub 100ms latency with computer use. It has a much larger context window and is much cheaper as well Combine that with local OCR and local screen detection model based on Omniparser by Microsoft it works under 100ms action taking when combined with Cua I also put in a harness for Nous Research Hermes with it. You can access it all at your tip of your cursor. You can draw on your screen to give your agents a context And I am making it Open Source! Link in the Comments Sundar Pichai Min-Liang Tan Mojtaba Seyedhosseini

People are overlooking Google Gemini Realtime models for computer use It gave me sub 100ms latency with computer use. It has a much larger context window and is much cheaper as well Combine that with local OCR and local screen detection model based on Omniparser by Microsoft it works under 100ms action taking when combined with Cua I also put in a harness for Nous Research Hermes with it. You can access it all at your tip of your cursor. You can draw on your screen to give your agents a context And I am making it Open Source! Link in the Comments Sundar Pichai Min-Liang Tan Mojtaba Seyedhosseini

38,361 просмотров • 3 месяцев назад

I made a stick shift claude code app Its very fun, suppose you are working on a complex project with fable and suddenly you wanna change the model to sonnet to do a simple "can you git push this" Or "can you quickly change the color of this button" Its for everyone who loves driving a manual automatic mode coming soon. for the rest of you.

I made a stick shift claude code app Its very fun, suppose you are working on a complex project with fable and suddenly you wanna change the model to sonnet to do a simple "can you git push this" Or "can you quickly change the color of this button" Its for everyone who loves driving a manual automatic mode coming soon. for the rest of you.

19,737 просмотров • 2 месяцев назад

computer use agents are slow because they think too much they make round trips to an LLM. every single time. even for a command you've said a hundred times before. that's why it always feels slow. my mac now remembers. the first time i say something new, like "search youtube for lofi beats", a big model figures it out once, does it, and saves the recipe as a json spec: {"op":"act","do":"open","target":"Safari"} {"op":"act","do":"type","text":"{query}"} every time after that, a tiny model on my laptop recognizes the command, fills in the parameters, and replays the recipe with CUA say it once, it's slow. say it again, it's instant. the fine tuned tiny model is 350 million parameters. its only job is recognizing which of my commands i just said. and when the big model does plan, it streams actions line by line. each line runs the moment it's finished, so the first action is executing while the model is still writing the second. everything it learns lives in one plain text file on my disk. i've been playing around a lot with Cua by Francesco and peekaboo by Peter Steinberger 🦞 . curious whether a standard computer use spec makes sense, one that streaming models can drive to make computer use actually fast.

computer use agents are slow because they think too much they make round trips to an LLM. every single time. even for a command you've said a hundred times before. that's why it always feels slow. my mac now remembers. the first time i say something new, like "search youtube for lofi beats", a big model figures it out once, does it, and saves the recipe as a json spec: {"op":"act","do":"open","target":"Safari"} {"op":"act","do":"type","text":"{query}"} every time after that, a tiny model on my laptop recognizes the command, fills in the parameters, and replays the recipe with CUA say it once, it's slow. say it again, it's instant. the fine tuned tiny model is 350 million parameters. its only job is recognizing which of my commands i just said. and when the big model does plan, it streams actions line by line. each line runs the moment it's finished, so the first action is executing while the model is still writing the second. everything it learns lives in one plain text file on my disk. i've been playing around a lot with Cua by Francesco and peekaboo by Peter Steinberger 🦞 . curious whether a standard computer use spec makes sense, one that streaming models can drive to make computer use actually fast.

14,212 просмотров • 1 месяц назад

i accidentally built the best research buddy And it works with my mouse draw over a section in a local PDF, saved highlight a link on any site, saved grab a comment in some forum, saved it all lands in my notch meet supamaus Its a clipboard for you and your AI

i accidentally built the best research buddy And it works with my mouse draw over a section in a local PDF, saved highlight a link on any site, saved grab a comment in some forum, saved it all lands in my notch meet supamaus Its a clipboard for you and your AI

15,510 просмотров • 2 месяцев назад

A screen recording is the best context you can give an AI agent. It's also the worst. A few seconds of video is thousands of images. Feed that to an agent and you instantly blow up its memory. So I built a tool that fixes it. How it works: Hit record and just do your thing. Click around, type, and talk out loud about what you're doing. While you record, it quietly captures the stuff that actually matters: your voice transcription, every click and the exact thing you clicked, what you typed, and the shortcuts you press. When you stop, it doesn't hand the agent the whole video. It writes a short, readable summary: a timeline of what you said and did. The agent reads that tiny summary first. Then, only when it needs to actually see a moment, it pulls that one exact frame from the video, like flipping to a single page instead of reading the whole book. The result: the agent understands everything you did! Full context. Less tokens.

A screen recording is the best context you can give an AI agent. It's also the worst. A few seconds of video is thousands of images. Feed that to an agent and you instantly blow up its memory. So I built a tool that fixes it. How it works: Hit record and just do your thing. Click around, type, and talk out loud about what you're doing. While you record, it quietly captures the stuff that actually matters: your voice transcription, every click and the exact thing you clicked, what you typed, and the shortcuts you press. When you stop, it doesn't hand the agent the whole video. It writes a short, readable summary: a timeline of what you said and did. The agent reads that tiny summary first. Then, only when it needs to actually see a moment, it pulls that one exact frame from the video, like flipping to a single page instead of reading the whole book. The result: the agent understands everything you did! Full context. Less tokens.

12,409 просмотров • 2 месяцев назад

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?

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?

13,342 просмотров • 3 месяцев назад

I made the worlds best Clipboard for your AI Agents Its called Bluey and its a dumb pointer which you can use to give 10x better context to your agent And you can point at your screen, talk to it, and it will generate a really good annotated screenshot which you can now give to your AI Agent You can use it while designing your website You can use it while explaining something on your screen. And it understands you and you can be really vague about things like "move this" , modify the color "here" and it will understand what you are pointing at. Im loving using it and I built it for myself as I was tired of clicking screenshots all the time and attaching it to my codex or claude code sessions Now I can just point, speak or type and drag and drop it anywhere I am giving free access to it in the comments and I would love for you to try it out. Join the discord and I am sharing the download link there. By the way everything stays 100 percent local. No screenshots are shared anywhere!

I made the worlds best Clipboard for your AI Agents Its called Bluey and its a dumb pointer which you can use to give 10x better context to your agent And you can point at your screen, talk to it, and it will generate a really good annotated screenshot which you can now give to your AI Agent You can use it while designing your website You can use it while explaining something on your screen. And it understands you and you can be really vague about things like "move this" , modify the color "here" and it will understand what you are pointing at. Im loving using it and I built it for myself as I was tired of clicking screenshots all the time and attaching it to my codex or claude code sessions Now I can just point, speak or type and drag and drop it anywhere I am giving free access to it in the comments and I would love for you to try it out. Join the discord and I am sharing the download link there. By the way everything stays 100 percent local. No screenshots are shared anywhere!

12,085 просмотров • 3 месяцев назад

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