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Rive text is live!! Animatable, variable, dynamic text for runtime, with full support for any language. There are a MONSTER amount of new things to play around with! 🚀 Create Text objects, styles, runs, and modifiers. 🚀 Support for any language. LTR, RTL, special characters/features, ligatures, etc. 🚀 Animate...

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Guido Rosso

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25,950 görüntüleme • 3 yıl önce •via X (Twitter)

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Seems like a good opportunity to share a trick I used on the React Aria website to make headings scale to fit the viewport on mobile, even with SSR. I used fontkit, a library I wrote 10 years ago to parse fonts and layout glyphs, to measure the width of the heading at build time in the "em" unit. width = font.layout('DateRangePicker').advanceWidth / font.unitsPerEm This is a size independent measurement using the font's internal metrics. When multiplied by any font size, you get the pixel width of the text. To calculate the font size, set this as a CSS variable and divide the target width (100vw minus padding). Clamp to make sure it doesn't get too big or small. font-size: clamp(35px, (100vw - 32px) / var(--text-width), 55px) And tada! You have perfectly scaling text no matter the viewport size. 🎉
0:15

Seems like a good opportunity to share a trick I used on the React Aria website to make headings scale to fit the viewport on mobile, even with SSR. I used fontkit, a library I wrote 10 years ago to parse fonts and layout glyphs, to measure the width of the heading at build time in the "em" unit. width = font.layout('DateRangePicker').advanceWidth / font.unitsPerEm This is a size independent measurement using the font's internal metrics. When multiplied by any font size, you get the pixel width of the text. To calculate the font size, set this as a CSS variable and divide the target width (100vw minus padding). Clamp to make sure it doesn't get too big or small. font-size: clamp(35px, (100vw - 32px) / var(--text-width), 55px) And tada! You have perfectly scaling text no matter the viewport size. 🎉

Devon Govett

48,276 görüntüleme • 6 ay önce

Launching today: PayPal links 🚀 Send and receive money as easily as sending a message--just share a one-time link by text, DM, or email. Live now in the US, and more markets soon. Coming next: crypto support for peer-to-peer via the PayPal app—including Bitcoin, Ethereum, and PYUSD—for easy, secure sending across PayPal, Venmo, and supported wallets. 🔗 Learn more:
0:15

Launching today: PayPal links 🚀 Send and receive money as easily as sending a message--just share a one-time link by text, DM, or email. Live now in the US, and more markets soon. Coming next: crypto support for peer-to-peer via the PayPal app—including Bitcoin, Ethereum, and PYUSD—for easy, secure sending across PayPal, Venmo, and supported wallets. 🔗 Learn more:

PayPal

157,276 görüntüleme • 1 yıl önce

We’re excited to introduce Text-to-LoRA: a Hypernetwork that generates task-specific LLM adapters (LoRAs) based on a text description of the task. Catch our presentation at #ICML2025! Paper: Code: Biological systems are capable of rapid adaptation, given limited sensory cues. For example, our human visual system can quickly adapt and tune its light sensitivity to our surroundings. While modern LLMs exhibit a wide variety of capabilities and knowledge, they remain rigid when adding task-specific capabilities. Traditionally, customizing these models requires gathering large datasets and performing often expensive, time-consuming fine-tuning for specific applications. To bypass these limitations, Text-to-LoRA (T2L) meta-learns a “hypernetwork” that takes in a text description of a desired task, as a prompt, and generates a task-specific LoRA that performs well on the task. In our experiments, we show that T2L can encode hundreds of existing LoRA adapters. While the compression is lossy, T2L maintains the performance of task-specifically tuned LoRA adapters. We also show that T2L can even generalize to unseen tasks given a natural language description of the tasks. Importantly, Text-to-LoRA is parameter-efficient. It generates LoRAs in a single, inexpensive step, based solely on a simple text description of the task. This approach is a step towards dramatically lowering the technical and computational barriers, allowing non-technical users to specialize foundation models using plain language, rather than needing deep technical expertise or large compute resources.
0:18

We’re excited to introduce Text-to-LoRA: a Hypernetwork that generates task-specific LLM adapters (LoRAs) based on a text description of the task. Catch our presentation at #ICML2025! Paper: Code: Biological systems are capable of rapid adaptation, given limited sensory cues. For example, our human visual system can quickly adapt and tune its light sensitivity to our surroundings. While modern LLMs exhibit a wide variety of capabilities and knowledge, they remain rigid when adding task-specific capabilities. Traditionally, customizing these models requires gathering large datasets and performing often expensive, time-consuming fine-tuning for specific applications. To bypass these limitations, Text-to-LoRA (T2L) meta-learns a “hypernetwork” that takes in a text description of a desired task, as a prompt, and generates a task-specific LoRA that performs well on the task. In our experiments, we show that T2L can encode hundreds of existing LoRA adapters. While the compression is lossy, T2L maintains the performance of task-specifically tuned LoRA adapters. We also show that T2L can even generalize to unseen tasks given a natural language description of the tasks. Importantly, Text-to-LoRA is parameter-efficient. It generates LoRAs in a single, inexpensive step, based solely on a simple text description of the task. This approach is a step towards dramatically lowering the technical and computational barriers, allowing non-technical users to specialize foundation models using plain language, rather than needing deep technical expertise or large compute resources.

Sakana AI

403,451 görüntüleme • 1 yıl önce

004/100 Buttons. A bit of the process on building an animation. When looking at a finished animation or in this example a finished button, it can look quite complex inside the CSS. But when building it, it’s more like a lot of simple steps, one after another. Here I had the idea to make some kind of text animation like the footer logo on the Osmo site. I try to add the base animation with no complex easing, for example transition: translate 0.4s ease. Starting with just moving the one text from bottom to top and the other text to top. Adding a stagger, play around with it. Searching for a way to make it more circular. On the research I found the sin() function inside CSS which can build a more smooth non linear curve for the stagger which creates this circular effect. And step by step adding more complexity like, different easing for hover/hover-out, opacity, 3D transform and more. I use also the sin() function to rotate the letters, so the middle ones are getting more rotated than the outer ones. Another thing which helps is to add a small delay on hover, for example 0.05s or 0.1s, you don’t really see the difference, but when you hover pretty fast on and out it doesn’t get that jumpy. I’m using here GSAP’s SplitText to split every char into spans. And then I’m adding a CSS index variable to every span, starting from the center. SplitText can provide CSS index variables, but you cannot tell it from which direction. For the sin() it’s also important to have a max length, so I add another CSS variable with the max char number on it. Crafting 100 Buttons with Osmo ⏳ Total time: 63h
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004/100 Buttons. A bit of the process on building an animation. When looking at a finished animation or in this example a finished button, it can look quite complex inside the CSS. But when building it, it’s more like a lot of simple steps, one after another. Here I had the idea to make some kind of text animation like the footer logo on the Osmo site. I try to add the base animation with no complex easing, for example transition: translate 0.4s ease. Starting with just moving the one text from bottom to top and the other text to top. Adding a stagger, play around with it. Searching for a way to make it more circular. On the research I found the sin() function inside CSS which can build a more smooth non linear curve for the stagger which creates this circular effect. And step by step adding more complexity like, different easing for hover/hover-out, opacity, 3D transform and more. I use also the sin() function to rotate the letters, so the middle ones are getting more rotated than the outer ones. Another thing which helps is to add a small delay on hover, for example 0.05s or 0.1s, you don’t really see the difference, but when you hover pretty fast on and out it doesn’t get that jumpy. I’m using here GSAP’s SplitText to split every char into spans. And then I’m adding a CSS index variable to every span, starting from the center. SplitText can provide CSS index variables, but you cannot tell it from which direction. For the sin() it’s also important to have a max length, so I add another CSS variable with the max char number on it. Crafting 100 Buttons with Osmo ⏳ Total time: 63h

Eduard Bodak

166,023 görüntüleme • 5 ay önce

Attention, #PiNetwork Pioneers! 🧐 Check out today's official announcement 🔔—we are encouraged to share the news and invite developers interested in AI to build the ecosystem on the Pi blockchain. 🚨 If you are on X or other platforms, please take a moment to do this! 🍾 I’ve put together a step-by-step guide below; save the video, hit pause ⏸, and carefully read the text. Let’s join forces to empower the network and boost the value of the Pi holdings we own.🚀
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Attention, #PiNetwork Pioneers! 🧐 Check out today's official announcement 🔔—we are encouraged to share the news and invite developers interested in AI to build the ecosystem on the Pi blockchain. 🚨 If you are on X or other platforms, please take a moment to do this! 🍾 I’ve put together a step-by-step guide below; save the video, hit pause ⏸, and carefully read the text. Let’s join forces to empower the network and boost the value of the Pi holdings we own.🚀

PiNetwork DEX⚡️阿龙

15,178 görüntüleme • 4 ay önce

Save this for the next time your typography feels weird and you can’t explain why. Nine times out of ten, it’s line-height - the vertical space between lines of text that decides whether type feels confident or clumsy, readable or tiring. Headlines Compress them. ~1.05–1.25 is usually right. Headlines aren’t meant to be read carefully line by line. They’re meant to land as a shape. Tighter leading pulls words into a single visual block and makes the headline feel confident and intentional. One hard rule: ascenders and descenders should never touch. If your t’s and l’s are colliding with g’s and y’s, you’ve gone too far. Body text Do the opposite. Give it air. ~1.4–1.7, depending on the typeface, its x-height, and the line length. Body text is about endurance. Your reader shouldn’t notice the typography at all. If they’re aware of the type, something’s off. The goal is that they just keep going, paragraph after paragraph, without friction. In Framer, you can find the Line-height settings in the Text Panel > Line. And yes, this applies even if you’re using the same font for headlines and body text! Same font, same page, but they have completely different jobs - and different line height. Sometimes, choosing a good type isn’t enough - you need to know how much space to give letters so they can do their work.
0:18

Save this for the next time your typography feels weird and you can’t explain why. Nine times out of ten, it’s line-height - the vertical space between lines of text that decides whether type feels confident or clumsy, readable or tiring. Headlines Compress them. ~1.05–1.25 is usually right. Headlines aren’t meant to be read carefully line by line. They’re meant to land as a shape. Tighter leading pulls words into a single visual block and makes the headline feel confident and intentional. One hard rule: ascenders and descenders should never touch. If your t’s and l’s are colliding with g’s and y’s, you’ve gone too far. Body text Do the opposite. Give it air. ~1.4–1.7, depending on the typeface, its x-height, and the line length. Body text is about endurance. Your reader shouldn’t notice the typography at all. If they’re aware of the type, something’s off. The goal is that they just keep going, paragraph after paragraph, without friction. In Framer, you can find the Line-height settings in the Text Panel > Line. And yes, this applies even if you’re using the same font for headlines and body text! Same font, same page, but they have completely different jobs - and different line height. Sometimes, choosing a good type isn’t enough - you need to know how much space to give letters so they can do their work.

charlota

21,862 görüntüleme • 8 ay önce

react-native-enriched-markdown just leveled up! 🚀 We've added EnrichedMarkdownInput, which means the library is now a fully rich-text suite for React Native. 💪 You get a Telegram-style selection-based toolbar, seamless Input-to-Output sync with EnrichedMarkdownText, bold/italic/underline/strikethrough and links – all with a flexible API for custom UIs. ✨ Works on iOS, macOS, and Android. Try the nightly release: npm i react-native-enriched-markdown@nightly P.S. Expect new styles soon – we're just getting started!
0:13

react-native-enriched-markdown just leveled up! 🚀 We've added EnrichedMarkdownInput, which means the library is now a fully rich-text suite for React Native. 💪 You get a Telegram-style selection-based toolbar, seamless Input-to-Output sync with EnrichedMarkdownText, bold/italic/underline/strikethrough and links – all with a flexible API for custom UIs. ✨ Works on iOS, macOS, and Android. Try the nightly release: npm i react-native-enriched-markdown@nightly P.S. Expect new styles soon – we're just getting started!

Software Mansion

20,120 görüntüleme • 7 ay önce

MiniMax H3 Instead of sharing the prompts for each of these videos, I thought it would be more useful to share how I created that prompts. All of the videos were generated with text-to-video. First, find an image with the kind of scene, composition and mood you want to recreate. I used a few YouTube playlist thumbnails as references but Pinterest is also a great place to find inspiration. You can even use your own old or nostalgic photographs. Then upload the image to ChatGPT and ask it to describe the scene. The description it gives you can essentially become your text-to-video prompt. From there, you can generate completely new scenes with a similar composition, atmosphere and cinematic language. You can of course use the reference image directly with image-to-video or as a first frame. But if the original image isn't yours, I prefer using it only as visual inspiration and recreating the scene through text-to-video. This is the prompt I use with ChatGPT: "Describe the scene in this image in English, focusing primarily on what is happening, the characters, their actions and body language, the setting and the overall atmosphere. Also briefly describe the composition, framing, camera angle, approximate lens choice, lighting, color palette and cinematic aesthetic. Keep it concise and scene-focused rather than overly technical."
0:15

MiniMax H3 Instead of sharing the prompts for each of these videos, I thought it would be more useful to share how I created that prompts. All of the videos were generated with text-to-video. First, find an image with the kind of scene, composition and mood you want to recreate. I used a few YouTube playlist thumbnails as references but Pinterest is also a great place to find inspiration. You can even use your own old or nostalgic photographs. Then upload the image to ChatGPT and ask it to describe the scene. The description it gives you can essentially become your text-to-video prompt. From there, you can generate completely new scenes with a similar composition, atmosphere and cinematic language. You can of course use the reference image directly with image-to-video or as a first frame. But if the original image isn't yours, I prefer using it only as visual inspiration and recreating the scene through text-to-video. This is the prompt I use with ChatGPT: "Describe the scene in this image in English, focusing primarily on what is happening, the characters, their actions and body language, the setting and the overall atmosphere. Also briefly describe the composition, framing, camera angle, approximate lens choice, lighting, color palette and cinematic aesthetic. Keep it concise and scene-focused rather than overly technical."

Kōda

57,650 görüntüleme • 2 ay önce

Released SuperCmd 1.0.8 🚀 biggest udpate so far! 📅 First Class Support for Calendar, Meeting reminders, with join meeting notifications before meeting 📔 You can now Sync SuperCmd Notes with Obsidian, with custom folder for notes ✨ Improved AI chat & Quick AI experience 📞 Search Contacts command 🧩 Custom Extension Support ⌨️ Auto switch Keyboard Layout Key updates 💫 > Notes: Hotkey and alias support for each note > Custom save location for screenshots > Custom search scopes (paths) for App indexing > Alt + Tab can now show apps from all spaces > Master switches for every module / command (screenshot, terminal, extensions, system settings, system commands, window mgmt) > Better support for Pinyin layout > Window Management: Window Gap support, New commands Minizmie, Zoom, Two Thirds > Text (OCR) search in screenshot history > Option to select primary action in clipboard (copy, paste to active app) > Here is the corrected text: > Exhaustive set of options for Dictation models via Open Router > Esc key support for hotkeys > Option to choose what happens when screenshot is taken (open editor / copy to clipboard) > DMG is now 22 -> 15mb > Bunch of enhacments and Bug fixes complete changelog: If you are looking to repalce Raycast with native alternative, try out SuperCmd. 50mb on disk, ~150mb memory usage
0:19

Released SuperCmd 1.0.8 🚀 biggest udpate so far! 📅 First Class Support for Calendar, Meeting reminders, with join meeting notifications before meeting 📔 You can now Sync SuperCmd Notes with Obsidian, with custom folder for notes ✨ Improved AI chat & Quick AI experience 📞 Search Contacts command 🧩 Custom Extension Support ⌨️ Auto switch Keyboard Layout Key updates 💫 > Notes: Hotkey and alias support for each note > Custom save location for screenshots > Custom search scopes (paths) for App indexing > Alt + Tab can now show apps from all spaces > Master switches for every module / command (screenshot, terminal, extensions, system settings, system commands, window mgmt) > Better support for Pinyin layout > Window Management: Window Gap support, New commands Minizmie, Zoom, Two Thirds > Text (OCR) search in screenshot history > Option to select primary action in clipboard (copy, paste to active app) > Here is the corrected text: > Exhaustive set of options for Dictation models via Open Router > Esc key support for hotkeys > Option to choose what happens when screenshot is taken (open editor / copy to clipboard) > DMG is now 22 -> 15mb > Bunch of enhacments and Bug fixes complete changelog: If you are looking to repalce Raycast with native alternative, try out SuperCmd. 50mb on disk, ~150mb memory usage

Shobhit - Building SuperCmd

35,887 görüntüleme • 1 ay önce

Ghostty Devlog 006, speed edition 🚀. An intro to SIMD, clever unicode lookup algorithms, and CSI parsing fast-paths all in order to make Ghostty wicked fast. The video below compares the plain-text throughput of Ghostty to another popular macOS terminal. Note that this video only showcases one particular type of speed. There are many other ways to measure the speed of a terminal and I note that in the devlog. The video is a very real world scenario though (i.e. tailing loud log output). 👻
0:10

Ghostty Devlog 006, speed edition 🚀. An intro to SIMD, clever unicode lookup algorithms, and CSI parsing fast-paths all in order to make Ghostty wicked fast. The video below compares the plain-text throughput of Ghostty to another popular macOS terminal. Note that this video only showcases one particular type of speed. There are many other ways to measure the speed of a terminal and I note that in the devlog. The video is a very real world scenario though (i.e. tailing loud log output). 👻

Mitchell Hashimoto

46,089 görüntüleme • 2 yıl önce

Regarding the Eric Trump / Daniel Cormier “text scandal”, I am open to being convinced otherwise, but I do not believe for one second that Eric Trump would text something so stupid to Daniel Cormier. It’s laughably stupid on its face to think that Eric Trump would ask a UFC commentator if any of the fights are “rigged”. That he would ask it in writing. And that he would not, for example, just pick up the phone and call Dana White or Joe Rogan himself. That said, I just want to understand what happened. Daniel Cormier said he was hacked. Is that to say he was hacked at the text level, or the X post level? Did he in fact make the post, and delete it? If he made the post, did he do it as a joke to illustrate how absurd the text hack was, but realized how the post could be misinterpreted as real? Or did someone make the post from his X account he subsequently deleted it. I know there are some who are going to say he made the post in earnest, thinking the text messages were real, intending to call out the “corruption”, and he has since been threatened, deleted the post, and claimed “hack”, etc. I can tell you exactly why I do not believe, even if he made the post, he did it believing the text message was real, intending to call out the “corruption”. If Cormier seriously thought the text messages were real, he would understand that by posting it publicly, it would literally destroy the UFC, his livelihood and his legacy - in addition to the legacy of everyone who has ever competed in the UFC. There is no realm of the universe in which even if it were in fact a real text that he actually received from Eric Trump, he would post it publicly. Because it would mean the end of the UFC. I just want to know if he actually made the post from his X account, or if the entire post was the result of a hack (hence the subsequent deleting of the post). Serious and sincere questions for clarity that would benefit everyone Eric Trump
0:16

Regarding the Eric Trump / Daniel Cormier “text scandal”, I am open to being convinced otherwise, but I do not believe for one second that Eric Trump would text something so stupid to Daniel Cormier. It’s laughably stupid on its face to think that Eric Trump would ask a UFC commentator if any of the fights are “rigged”. That he would ask it in writing. And that he would not, for example, just pick up the phone and call Dana White or Joe Rogan himself. That said, I just want to understand what happened. Daniel Cormier said he was hacked. Is that to say he was hacked at the text level, or the X post level? Did he in fact make the post, and delete it? If he made the post, did he do it as a joke to illustrate how absurd the text hack was, but realized how the post could be misinterpreted as real? Or did someone make the post from his X account he subsequently deleted it. I know there are some who are going to say he made the post in earnest, thinking the text messages were real, intending to call out the “corruption”, and he has since been threatened, deleted the post, and claimed “hack”, etc. I can tell you exactly why I do not believe, even if he made the post, he did it believing the text message was real, intending to call out the “corruption”. If Cormier seriously thought the text messages were real, he would understand that by posting it publicly, it would literally destroy the UFC, his livelihood and his legacy - in addition to the legacy of everyone who has ever competed in the UFC. There is no realm of the universe in which even if it were in fact a real text that he actually received from Eric Trump, he would post it publicly. Because it would mean the end of the UFC. I just want to know if he actually made the post from his X account, or if the entire post was the result of a hack (hence the subsequent deleting of the post). Serious and sincere questions for clarity that would benefit everyone Eric Trump

Viva Frei

30,167 görüntüleme • 4 ay önce

fxhash 2.0 launch we are so back 🪩 🚀 the fxhash 2.0 ethereum integration is now live on mainnet, and thus, viewable on the site and available to artists! we did it - a multichain era for generative art is here 🥳🎉 for your viewing pleasure, here is ethereum project #0, Genomes by ciphrd + Alex Mordvintsev ▶️ right now, the fxhash 2.0 ethereum integration is only accessible to artists so that they can get their projects prepped and minted for thursday's launch. we're also currently uploading a whole host of libraries requested by the artist community, so that when creating an onchain project, you don't have to pay to store them since they'll be there waiting for you 💖 thank you everyone for rolling with us, this has been a journey and we wouldn't want to share it with anyone else 🥹🙏 artists, if you have questions about accessing mainnet or anything else, reach out to us by posting in the artist-support forum in the fx discord - or DM us here. there's no special access link, just head to and go through the mint flow as usual! everyone else: see you on thursday! 😆🚀🚀
0:17

fxhash 2.0 launch we are so back 🪩 🚀 the fxhash 2.0 ethereum integration is now live on mainnet, and thus, viewable on the site and available to artists! we did it - a multichain era for generative art is here 🥳🎉 for your viewing pleasure, here is ethereum project #0, Genomes by ciphrd + Alex Mordvintsev ▶️ right now, the fxhash 2.0 ethereum integration is only accessible to artists so that they can get their projects prepped and minted for thursday's launch. we're also currently uploading a whole host of libraries requested by the artist community, so that when creating an onchain project, you don't have to pay to store them since they'll be there waiting for you 💖 thank you everyone for rolling with us, this has been a journey and we wouldn't want to share it with anyone else 🥹🙏 artists, if you have questions about accessing mainnet or anything else, reach out to us by posting in the artist-support forum in the fx discord - or DM us here. there's no special access link, just head to and go through the mint flow as usual! everyone else: see you on thursday! 😆🚀🚀

fxhash

26,228 görüntüleme • 2 yıl önce

The Pruna-Qwen-Image-2.1 Space is now live! You can now test our few-step LoRA adapters for Qwen-Image-2.1 by Qwen directly in your browser, no setup or code required. - 5 steps for maximum speed - 8 steps for the best balance of speed and quality - Text-to-image and image editing support Put it to the test and show us the results. B𝘦𝘵𝘵𝘦𝘳 𝘷𝘦𝘳𝘴𝘪𝘰𝘯𝘴 𝘰𝘯 𝘵𝘩𝘦 𝘸𝘢𝘺. 🚀 Test the Pruna-Qwen-Image-2.1 Space on Hugging Face by AK: Check Pruna-Qwen-Image-2.1:
0:15

The Pruna-Qwen-Image-2.1 Space is now live! You can now test our few-step LoRA adapters for Qwen-Image-2.1 by Qwen directly in your browser, no setup or code required. - 5 steps for maximum speed - 8 steps for the best balance of speed and quality - Text-to-image and image editing support Put it to the test and show us the results. B𝘦𝘵𝘵𝘦𝘳 𝘷𝘦𝘳𝘴𝘪𝘰𝘯𝘴 𝘰𝘯 𝘵𝘩𝘦 𝘸𝘢𝘺. 🚀 Test the Pruna-Qwen-Image-2.1 Space on Hugging Face by AK: Check Pruna-Qwen-Image-2.1:

Pruna AI

11,978 görüntüleme • 26 gün önce

We're extremely excited to announce the release of PATINA, a first-of-its-kind model that excels at PBR texture generation 🚀 🥇 SOTA commercial offering of PBR material creation, bridging the gap between AI image generation and traditional CGI 🌱 Homegrown by us at fal 🤑 Estimate your own material maps at $0.01 / map / megapixel 🖼️ 1K up to 8K material generation starting at just $0.08 for a complete five-map-plus-render material from text (and optional image) 🔍 Identify and extract materials from images with plain language
0:18

We're extremely excited to announce the release of PATINA, a first-of-its-kind model that excels at PBR texture generation 🚀 🥇 SOTA commercial offering of PBR material creation, bridging the gap between AI image generation and traditional CGI 🌱 Homegrown by us at fal 🤑 Estimate your own material maps at $0.01 / map / megapixel 🖼️ 1K up to 8K material generation starting at just $0.08 for a complete five-map-plus-render material from text (and optional image) 🔍 Identify and extract materials from images with plain language

fal

174,928 görüntüleme • 6 ay önce

INVESTOR DECKS ARE OFFICIALLY A ONE-PROMPT PROBLEM NOW goes from scattered brand notes and market research straight to an investor ready deck - eliminating manual slide layout, manual chart building, and manual re formatting between tools Here is the exact stack: Claude Design Canvas - reads a brand concept doc and a research outline, builds each slide type with real visual reasoning, not text dropped into a template Live Research Layer - for skills that support it, runs an actual web search per prompt, structures a narrative arc from current data instead of guessing at market size Design-System Ingestion - feed it a clean codebase or existing brand files, Claude infers your grid, type scale, and color system automatically instead of starting from a blank canvas Multi format Export - PPTX, PDF, HTML, or straight into Google Slides, so the deck opens correctly wherever the investor actually opens it Core advantage: set up a Project once with your colors, fonts, and style guide - every deck generated after that follows your brand automatically, no re-uploading brand assets slide by slide honest limit worth knowing: HTML to PPTX export is lossy text can flatten to images, fonts substitute, master slides drop If the deck's final home is PowerPoint, budget one manual pass to catch what didn't survive the conversion Pass a brand doc and a research outline Claude structures the narrative arc, builds every slide, and exports to whatever format the round actually needs zero blank canvas, zero manual chart rebuilding full below
0:15

INVESTOR DECKS ARE OFFICIALLY A ONE-PROMPT PROBLEM NOW goes from scattered brand notes and market research straight to an investor ready deck - eliminating manual slide layout, manual chart building, and manual re formatting between tools Here is the exact stack: Claude Design Canvas - reads a brand concept doc and a research outline, builds each slide type with real visual reasoning, not text dropped into a template Live Research Layer - for skills that support it, runs an actual web search per prompt, structures a narrative arc from current data instead of guessing at market size Design-System Ingestion - feed it a clean codebase or existing brand files, Claude infers your grid, type scale, and color system automatically instead of starting from a blank canvas Multi format Export - PPTX, PDF, HTML, or straight into Google Slides, so the deck opens correctly wherever the investor actually opens it Core advantage: set up a Project once with your colors, fonts, and style guide - every deck generated after that follows your brand automatically, no re-uploading brand assets slide by slide honest limit worth knowing: HTML to PPTX export is lossy text can flatten to images, fonts substitute, master slides drop If the deck's final home is PowerPoint, budget one manual pass to catch what didn't survive the conversion Pass a brand doc and a research outline Claude structures the narrative arc, builds every slide, and exports to whatever format the round actually needs zero blank canvas, zero manual chart rebuilding full below

YARD

32,780 görüntüleme • 1 ay önce

Gemini Omni is changing video creation and most people still don't know what it can actually do. Here are 7 things you can do with it right now: 1. Image to Video in multiple styles: Upload a photo. describe the style. Gemini Omni turns it into a video. cinematic, anime, realistic. 2. Reimagine camera angles: Take any image and visualize it from a completely different angle. no reshooting. just describe it. 3. Change backgrounds: Swap the background of any video through plain conversation. no green screen. no editing software. 4. Change hairstyle: Describe a new hairstyle. Gemini Omni applies it. characters stay consistent across every frame. 5. visualize with moodboards: feed it a moodboard, audio, and a brief. it builds the video around the full creative reference — not just a text prompt. 6. swap characters and objects mid-scene: replace people, props, and objects in an existing video. the scene stays consistent. the physics hold up. 7. edit physics: describe how you want things to move. Gemini Omni adjusts the physics of the scene through conversation.
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Gemini Omni is changing video creation and most people still don't know what it can actually do. Here are 7 things you can do with it right now: 1. Image to Video in multiple styles: Upload a photo. describe the style. Gemini Omni turns it into a video. cinematic, anime, realistic. 2. Reimagine camera angles: Take any image and visualize it from a completely different angle. no reshooting. just describe it. 3. Change backgrounds: Swap the background of any video through plain conversation. no green screen. no editing software. 4. Change hairstyle: Describe a new hairstyle. Gemini Omni applies it. characters stay consistent across every frame. 5. visualize with moodboards: feed it a moodboard, audio, and a brief. it builds the video around the full creative reference — not just a text prompt. 6. swap characters and objects mid-scene: replace people, props, and objects in an existing video. the scene stays consistent. the physics hold up. 7. edit physics: describe how you want things to move. Gemini Omni adjusts the physics of the scene through conversation.

Poonam Soni

11,682 görüntüleme • 2 ay önce

🆕 React Native Micro Skill release🚨: Expo Router App Store Card Transition. Get the skill in link below 👇 This is combo of Expo Router Zoom transitions combined with the right card format plus a landing native screen that matches the effect. Also cards bg text matches image with blur-hash. (Text color switch depending on that color too). Thats it. I call these "micro skills" and that's the point. This small skill artifacts is very simple in sight but still deep in its own way. It is thinking about how to make the effect powerful. What are the other elements to combine to make a a great UX show into existence. Again micro skills are so powerful when they compound and are what will push you into creating amazing native feel experiences. Are you creating micro skills too? LMK in the comments below.
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🆕 React Native Micro Skill release🚨: Expo Router App Store Card Transition. Get the skill in link below 👇 This is combo of Expo Router Zoom transitions combined with the right card format plus a landing native screen that matches the effect. Also cards bg text matches image with blur-hash. (Text color switch depending on that color too). Thats it. I call these "micro skills" and that's the point. This small skill artifacts is very simple in sight but still deep in its own way. It is thinking about how to make the effect powerful. What are the other elements to combine to make a a great UX show into existence. Again micro skills are so powerful when they compound and are what will push you into creating amazing native feel experiences. Are you creating micro skills too? LMK in the comments below.

RO

15,967 görüntüleme • 2 ay önce

🚨Nano Banana is now inside Google Photos 6 new things you can do with AI in Google Photos: - Describe the edits you want using your voice or text. - Request personalised edits, like removing sunglasses or fixing a smile. - Restyle your images with Nano Banana in the Photos editor. - Reimagine your photos with AI templates. - Use Ask Photos in over 100 countries and 17 new languages. - While viewing an image, start a conversation to instantly get answers about its content. Many of these features are rolling out now, so explore all the new ways AI can help you do even more with your memories in Google Photos.
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🚨Nano Banana is now inside Google Photos 6 new things you can do with AI in Google Photos: - Describe the edits you want using your voice or text. - Request personalised edits, like removing sunglasses or fixing a smile. - Restyle your images with Nano Banana in the Photos editor. - Reimagine your photos with AI templates. - Use Ask Photos in over 100 countries and 17 new languages. - While viewing an image, start a conversation to instantly get answers about its content. Many of these features are rolling out now, so explore all the new ways AI can help you do even more with your memories in Google Photos.

Poonam Soni

23,741 görüntüleme • 11 ay önce