Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

This feels illegal. You can run Android apps on Linux… like native apps. Waydroid: A full Android system inside a Linux container. How it works: • Containers, not emulators or VMs • Direct access to CPU, GPU, hardware • Runs alongside your Linux system What you get: • No...

Techjunkie_Aman's profile picture

Techjunkie Aman

16,426 subscribers

79,607 Aufrufe • vor 3 Monaten •via X (Twitter)

Wissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

This is what Windows should’ve been. Zorin OS is a Linux distro made for normal users. No learning curve. Feels familiar from day one. You get: • Windows/macOS-style layouts • Smooth, fast performance • No ads, no bloat, no tracking • Built-in apps (ready out of the box) More: • Runs on PCs up to 10–15 years old • Lightweight but powerful • Secure + virus-resistant • Software store with thousands of apps • Can run many Windows apps (.exe support) • Easy dual-boot with Windows Plus: • Gaming support (Steam, Proton, Lutris) • GPU drivers pre-installed + optimized • Works great on laptops + desktops • Try it directly from USB (no install needed) • Long-term updates (years of support) Extra: • LibreOffice included (MS Office alternative) • Multiple desktop layouts (switch anytime) • Zorin Connect (phone ↔ PC integration) • Works offline, no account required No tweaking. No terminal needed. Just install → use.
0:08

This is what Windows should’ve been. Zorin OS is a Linux distro made for normal users. No learning curve. Feels familiar from day one. You get: • Windows/macOS-style layouts • Smooth, fast performance • No ads, no bloat, no tracking • Built-in apps (ready out of the box) More: • Runs on PCs up to 10–15 years old • Lightweight but powerful • Secure + virus-resistant • Software store with thousands of apps • Can run many Windows apps (.exe support) • Easy dual-boot with Windows Plus: • Gaming support (Steam, Proton, Lutris) • GPU drivers pre-installed + optimized • Works great on laptops + desktops • Try it directly from USB (no install needed) • Long-term updates (years of support) Extra: • LibreOffice included (MS Office alternative) • Multiple desktop layouts (switch anytime) • Zorin Connect (phone ↔ PC integration) • Works offline, no account required No tweaking. No terminal needed. Just install → use.

Techjunkie Aman

24,507 Aufrufe • vor 4 Monaten

QVAC SDK 0.15.0 is live. This release adds multiple prompts batching, brings a native AMD GPU backend to the stack, moves more vision encoders onto mobile GPUs, and adds a second local coding-agent integration. Main highlights: - Prompt batching for the LLM addon. Batch multiple prompts into one job and process them concurrently, with each answer returned the moment its generation finishes. - Native AMD GPU backend. A first-class HIP/ROCm backend in @qvac/vla-ggml, auto-selected over Vulkan with clean fallback when ROCm is absent. - A second local coding agent. OpenClaw joins OpenCode for local, cloud-free agent workflows. AGENTS - OpenCode plugin update (@qvac/opencode-plugin). Aligned with the current SDK, CLI, and AI SDK provider packages. A fresh install runs OpenCode against managed local QVAC models out of the box, from the default qvac/qwen3.5-9b, with no manual qvac serve setup. - OpenClaw plugin (@qvac/openclaw-plugin). A second coding-agent integration alongside OpenCode. A fresh setup installs the plugin, creates a local qvac provider through onboarding, and runs a QVAC model through OpenClaw🦞's local service path. LANGUAGE MODELS - Prompt batching (LLM addon). Batch multiple prompts in one job and run them concurrently, each answer returns the moment its generation finishes, no waiting on the others. - Reasoning-context trimming on hybrid + recurrent models (@qvac/llm-llamacpp). remove_thinking_from_context now works beyond pure-attention models. Same JS API, no throw. VOICE AND SPEECH - Transcription (transcription-parakeet 0.9.0). More robust CPU fallback on GPU failure and a faster Vulkan backend on Pixel 9. - Text-to-speech features (tts-ggml 0.4.0). Adds LavaSR for noise removal and adjustable output frequency up to 48 kHz, plus Japanese via Chatterbox. - Text-to-speech fixes (tts-ggml 0.4.1). CPU fallback on GPU failure, a q8_0 KV crash fix on Metal with Chatterbox. VISION - Qwen3.5 vision encoder on GPU (Android). Image encoder moves onto the phone GPU, with a smarter tile-grid preprocessor and default image-token caps, for flagship Android: Vulkan on Mali (Pixel 9 Pro) and OpenCL on Adreno 830 (Galaxy S25). - Gemma-4 vision encoder on GPU (Android). Vision encoder runs on the phone GPU instead of CPU, same flagship Android targets. PLATFORM AND PERFORMANCE - AMD GPU backend (@qvac/vla-ggml). Native HIP/ROCm backend, auto-selected over Vulkan with clean fallback when ROCm is absent (Linux x64 only). Comes with ~23% faster than Vulkan, ~14% faster than PyTorch-ROCm, parity preserved. Unified code style. A cleaner, more consistent, easier-to-contribute codebase. Let's build. npm install @qvac/sdk
1:25

QVAC SDK 0.15.0 is live. This release adds multiple prompts batching, brings a native AMD GPU backend to the stack, moves more vision encoders onto mobile GPUs, and adds a second local coding-agent integration. Main highlights: - Prompt batching for the LLM addon. Batch multiple prompts into one job and process them concurrently, with each answer returned the moment its generation finishes. - Native AMD GPU backend. A first-class HIP/ROCm backend in @qvac/vla-ggml, auto-selected over Vulkan with clean fallback when ROCm is absent. - A second local coding agent. OpenClaw joins OpenCode for local, cloud-free agent workflows. AGENTS - OpenCode plugin update (@qvac/opencode-plugin). Aligned with the current SDK, CLI, and AI SDK provider packages. A fresh install runs OpenCode against managed local QVAC models out of the box, from the default qvac/qwen3.5-9b, with no manual qvac serve setup. - OpenClaw plugin (@qvac/openclaw-plugin). A second coding-agent integration alongside OpenCode. A fresh setup installs the plugin, creates a local qvac provider through onboarding, and runs a QVAC model through OpenClaw🦞's local service path. LANGUAGE MODELS - Prompt batching (LLM addon). Batch multiple prompts in one job and run them concurrently, each answer returns the moment its generation finishes, no waiting on the others. - Reasoning-context trimming on hybrid + recurrent models (@qvac/llm-llamacpp). remove_thinking_from_context now works beyond pure-attention models. Same JS API, no throw. VOICE AND SPEECH - Transcription (transcription-parakeet 0.9.0). More robust CPU fallback on GPU failure and a faster Vulkan backend on Pixel 9. - Text-to-speech features (tts-ggml 0.4.0). Adds LavaSR for noise removal and adjustable output frequency up to 48 kHz, plus Japanese via Chatterbox. - Text-to-speech fixes (tts-ggml 0.4.1). CPU fallback on GPU failure, a q8_0 KV crash fix on Metal with Chatterbox. VISION - Qwen3.5 vision encoder on GPU (Android). Image encoder moves onto the phone GPU, with a smarter tile-grid preprocessor and default image-token caps, for flagship Android: Vulkan on Mali (Pixel 9 Pro) and OpenCL on Adreno 830 (Galaxy S25). - Gemma-4 vision encoder on GPU (Android). Vision encoder runs on the phone GPU instead of CPU, same flagship Android targets. PLATFORM AND PERFORMANCE - AMD GPU backend (@qvac/vla-ggml). Native HIP/ROCm backend, auto-selected over Vulkan with clean fallback when ROCm is absent (Linux x64 only). Comes with ~23% faster than Vulkan, ~14% faster than PyTorch-ROCm, parity preserved. Unified code style. A cleaner, more consistent, easier-to-contribute codebase. Let's build. npm install @qvac/sdk

QVAC

29,245,702 Aufrufe • vor 10 Tagen

do you understand what Claude just did? > you can now tell Claude to use your entire computer. open apps. navigate your browser. fill spreadsheets. anything you’d do sitting at your desk > uses your connected apps first… Slack, Calendar, integrations. when there’s no connector, it asks permission to open the app on your screen directly > assign a task from your phone. walk away. come back to finished work on your computer > tell it once to scan your email every morning or pull a report every Friday and it just handles it > macOS only right now. research preview in Cowork and Claude Code > not long ago you needed a custom framework just to get Claude running on a loop. now it’s fully native → dispatch from your phone… native → scheduled recurring tasks… native → remote monitoring… native → multi-agent coordination… native → persistent memory across sessions… native every feature that made agentic frameworks valuable is becoming a platform feature for Claude the AI race just got way more interesting
0:20

do you understand what Claude just did? > you can now tell Claude to use your entire computer. open apps. navigate your browser. fill spreadsheets. anything you’d do sitting at your desk > uses your connected apps first… Slack, Calendar, integrations. when there’s no connector, it asks permission to open the app on your screen directly > assign a task from your phone. walk away. come back to finished work on your computer > tell it once to scan your email every morning or pull a report every Friday and it just handles it > macOS only right now. research preview in Cowork and Claude Code > not long ago you needed a custom framework just to get Claude running on a loop. now it’s fully native → dispatch from your phone… native → scheduled recurring tasks… native → remote monitoring… native → multi-agent coordination… native → persistent memory across sessions… native every feature that made agentic frameworks valuable is becoming a platform feature for Claude the AI race just got way more interesting

klöss

463,336 Aufrufe • vor 4 Monaten

Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!
3:50

Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!

Workshop AI

28,422 Aufrufe • vor 4 Monaten

The keyboard on iOS is the worst I have ever used in comparison to what’s available on Android. When AI voice dictation came out, it quickly became my primary input interface on both desktop and mobile. Though, on mobile it was quite limited to specific apps, cuz in many cases it is not that good or completely missing. Around a month ago, it finally changed when I had a chance to beta test Typeless keyboard for iOS. There, it can be synced between mobile and desktop apps, so I would have access to all my configurations as well as to the dictation history. It comes with a seamless way to switch between typing and dictation and a wave animation (quite an important part), so you can see if it is actually recording what you say. Typeless enables vibe coding in tools like Claude Code or AI Studio from mobile. A custom dictionary saves loads of time cuz you don’t have to correct all your abbreviations that other voice dictation solutions misspell. You can easily access dictated text on your other devices, and it also saves your dictated text from being accidentally lost (a common issue with the dictation feature on other apps). And you can always see how much time you managed to save on the main UI. “Time saved” * “Your hourly rate” is the ROI. AI is money 👀 * Sponsored post
0:25

The keyboard on iOS is the worst I have ever used in comparison to what’s available on Android. When AI voice dictation came out, it quickly became my primary input interface on both desktop and mobile. Though, on mobile it was quite limited to specific apps, cuz in many cases it is not that good or completely missing. Around a month ago, it finally changed when I had a chance to beta test Typeless keyboard for iOS. There, it can be synced between mobile and desktop apps, so I would have access to all my configurations as well as to the dictation history. It comes with a seamless way to switch between typing and dictation and a wave animation (quite an important part), so you can see if it is actually recording what you say. Typeless enables vibe coding in tools like Claude Code or AI Studio from mobile. A custom dictionary saves loads of time cuz you don’t have to correct all your abbreviations that other voice dictation solutions misspell. You can easily access dictated text on your other devices, and it also saves your dictated text from being accidentally lost (a common issue with the dictation feature on other apps). And you can always see how much time you managed to save on the main UI. “Time saved” * “Your hourly rate” is the ROI. AI is money 👀 * Sponsored post

🚨 AI News | TestingCatalog

14,057 Aufrufe • vor 6 Monaten

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.
1:39

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.

QVAC

20,922,918 Aufrufe • vor 1 Monat

QVAC SDK 0.14.0 is live. This release makes the on-device stack faster on mobile, ships the developer-agent path, and takes local text-to-speech to 31 languages. Main highlights: - OpenCode and OpenClaw. The first official OpenCode plugin, plus a maintained OpenClaw compatibility path, both built on managed mode and qvac serve. Point a coding agent at a local model with far less setup and far fewer surprises. - Brain-computer interface transcription, on the SDK. Take recorded neural signal data and decode it into text, fully on-device, no cloud. Stream it in chunks through a simple API. In 0.14 it runs GPU-accelerated on iOS. - Text to Speech in 31 languages with our Supertonic3 upgrade. VOICE AND SPEECH - Supertonic3 multilingual TTS, 5 languages to 31. - Chatterbox and Supertonic now run on the Android GPU, with lower memory use (especially on iOS), quantized s3gen Chatterbox support, and a fix for Chatterbox occasionally emitting random speech. - Whisper transcription now runs on the iOS GPU. Parakeet runs on the Android GPU, with steadier real-time streaming. VISION AND OCR - VLM multi-tile batching: high-resolution Pan and Scan images are encoded in one pass instead of tile by tile, for faster vision throughput. - OCR on ggml (EasyOCR and DocTR) reaches full speed parity with the onnx path, across Metal, OpenCL, and Vulkan. PLATFORM AND RELIABILITY - Dynamic compute backends on Linux: one build picks the right backend at runtime, and opens the door to ROCm and CUDA support without per-backend builds. - Thinking tokens are kept out of the model context, so reasoning no longer fills the KV cache. SDK 0.14.0 is now leaner and faster to start. Let’s build.
1:51

QVAC SDK 0.14.0 is live. This release makes the on-device stack faster on mobile, ships the developer-agent path, and takes local text-to-speech to 31 languages. Main highlights: - OpenCode and OpenClaw. The first official OpenCode plugin, plus a maintained OpenClaw compatibility path, both built on managed mode and qvac serve. Point a coding agent at a local model with far less setup and far fewer surprises. - Brain-computer interface transcription, on the SDK. Take recorded neural signal data and decode it into text, fully on-device, no cloud. Stream it in chunks through a simple API. In 0.14 it runs GPU-accelerated on iOS. - Text to Speech in 31 languages with our Supertonic3 upgrade. VOICE AND SPEECH - Supertonic3 multilingual TTS, 5 languages to 31. - Chatterbox and Supertonic now run on the Android GPU, with lower memory use (especially on iOS), quantized s3gen Chatterbox support, and a fix for Chatterbox occasionally emitting random speech. - Whisper transcription now runs on the iOS GPU. Parakeet runs on the Android GPU, with steadier real-time streaming. VISION AND OCR - VLM multi-tile batching: high-resolution Pan and Scan images are encoded in one pass instead of tile by tile, for faster vision throughput. - OCR on ggml (EasyOCR and DocTR) reaches full speed parity with the onnx path, across Metal, OpenCL, and Vulkan. PLATFORM AND RELIABILITY - Dynamic compute backends on Linux: one build picks the right backend at runtime, and opens the door to ROCm and CUDA support without per-backend builds. - Thinking tokens are kept out of the model context, so reasoning no longer fills the KV cache. SDK 0.14.0 is now leaner and faster to start. Let’s build.

QVAC

23,973,950 Aufrufe • vor 24 Tagen

Here are a few things you probably did not know about Reddit's iOS and Android apps: they are ~2.5M lines of code each, with 500+ screens, and a total of 200 native mobile engineers work on the both of them (including a dedicated iOS and Android mobile platform team) But a few years ago, things looked very different - and Reddit quietly rebuilt their native apps from 2021. Today's conversation goes through what happened and how, with three engineers from Reddit’s mobile platform team who led this work: Lauren Darcey (Head of Mobile Platform), Brandon Kobilansky (iOS Platform Lead), and Eric Kuck (Principal Android Engineer) Watch or listen: • YouTube: • Spotify: • Apple: --- Brought to you by: • Graphite (we've moved to @graphite) — The AI developer productivity platform • Sentry — Error and performance monitoring for developers. Get 150k errors (three months of Team Plan) for free at --- Three of my takeaways from this episode: 𝟭. 𝗣𝗼𝗼𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗰𝗮𝗻 𝘀𝗹𝗼𝘄 𝗱𝗼𝘄𝗻 𝗮 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 – 𝘀𝗼 𝗽𝗮𝘆 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻! One of the reasons Reddit started investing heavily in modernizing its mobile stack was that the “old stack” was slowing down developers. Reddit’s platform team got proof of this simply by asking native engineers about the biggest development-related challenges they face. 𝟮. 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝘀 𝗵𝗮𝗿𝗱 𝘄𝗼𝗿𝗸. Advice from Brandon for anyone looking to work on a platform team: "You should try to work at a tech company for a year or two and actually see what happens after you ship a system — and then the assumptions change! You then have to figure out how to keep this thing going. You get a bunch of software design intuition because you have to like re-evaluate your assumptions for an incredibly long time. If you can do that, you're probably ready for platform stuff." 𝟯. 𝗚𝗲𝗻𝗔𝗜 𝗰𝗼𝗱𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀 𝗳𝗲𝗲𝗹 𝗹𝗶𝗸𝗲 𝘁𝗵𝗲𝘆 𝗮𝗿𝗲 𝗻𝗼𝘁 “𝘁𝗵𝗲𝗿𝗲” 𝘆𝗲𝘁 𝘄𝗶𝘁𝗵 𝗻𝗮𝘁𝗶𝘃𝗲 𝗺𝗼𝗯𝗶𝗹𝗲. LLMs integrated into IDEs seem to be increasingly helpful with backend, fullstack, web and even cross-platform (React Native / Expo) projects. However, Reddit’s mobile team shared that they get a moderate boost from the Apple and Android Studio LLM additions. Native mobile development is distinctively different from web, fullstack and backend coding – and it seems that these IDEs with AI functionality have not done much to optimize for the expereince of native mobile engineers. Over time, this will likely change – but it’s a reminder that there are differences between fullstack, backend and native mobile development.(I wrote a book reflecting on more of the challenges unique to native mobile titled Building Mobile Apps at Scale)
1:02

Here are a few things you probably did not know about Reddit's iOS and Android apps: they are ~2.5M lines of code each, with 500+ screens, and a total of 200 native mobile engineers work on the both of them (including a dedicated iOS and Android mobile platform team) But a few years ago, things looked very different - and Reddit quietly rebuilt their native apps from 2021. Today's conversation goes through what happened and how, with three engineers from Reddit’s mobile platform team who led this work: Lauren Darcey (Head of Mobile Platform), Brandon Kobilansky (iOS Platform Lead), and Eric Kuck (Principal Android Engineer) Watch or listen: • YouTube: • Spotify: • Apple: --- Brought to you by: • Graphite (we've moved to @graphite) — The AI developer productivity platform • Sentry — Error and performance monitoring for developers. Get 150k errors (three months of Team Plan) for free at --- Three of my takeaways from this episode: 𝟭. 𝗣𝗼𝗼𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗰𝗮𝗻 𝘀𝗹𝗼𝘄 𝗱𝗼𝘄𝗻 𝗮 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 – 𝘀𝗼 𝗽𝗮𝘆 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻! One of the reasons Reddit started investing heavily in modernizing its mobile stack was that the “old stack” was slowing down developers. Reddit’s platform team got proof of this simply by asking native engineers about the biggest development-related challenges they face. 𝟮. 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝘀 𝗵𝗮𝗿𝗱 𝘄𝗼𝗿𝗸. Advice from Brandon for anyone looking to work on a platform team: "You should try to work at a tech company for a year or two and actually see what happens after you ship a system — and then the assumptions change! You then have to figure out how to keep this thing going. You get a bunch of software design intuition because you have to like re-evaluate your assumptions for an incredibly long time. If you can do that, you're probably ready for platform stuff." 𝟯. 𝗚𝗲𝗻𝗔𝗜 𝗰𝗼𝗱𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀 𝗳𝗲𝗲𝗹 𝗹𝗶𝗸𝗲 𝘁𝗵𝗲𝘆 𝗮𝗿𝗲 𝗻𝗼𝘁 “𝘁𝗵𝗲𝗿𝗲” 𝘆𝗲𝘁 𝘄𝗶𝘁𝗵 𝗻𝗮𝘁𝗶𝘃𝗲 𝗺𝗼𝗯𝗶𝗹𝗲. LLMs integrated into IDEs seem to be increasingly helpful with backend, fullstack, web and even cross-platform (React Native / Expo) projects. However, Reddit’s mobile team shared that they get a moderate boost from the Apple and Android Studio LLM additions. Native mobile development is distinctively different from web, fullstack and backend coding – and it seems that these IDEs with AI functionality have not done much to optimize for the expereince of native mobile engineers. Over time, this will likely change – but it’s a reminder that there are differences between fullstack, backend and native mobile development.(I wrote a book reflecting on more of the challenges unique to native mobile titled Building Mobile Apps at Scale)

Gergely Orosz

67,225 Aufrufe • vor 1 Jahr

Tried Typeless on my Android today, and honestly… I didn’t expect it to feel this smooth. This isn’t the usual voice typing where you have to speak slowly and still end up fixing half the sentence. With Typeless (Typeless), I just talked normally, like I’m explaining something to a friend, and it instantly turned my speech into clean, polished writing. It removed all the “um,” “uh,” repeated words, and even corrected my mid-sentence changes automatically. It genuinely felt like an AI editor built directly into the keyboard. What I liked most: ⚡ Way faster than typing 🎙️ You can speak to rephrase or refine instantly 📱 Works across apps like WhatsApp, Email, Notes, Slack 🌍 Supports 100+ languages 🔒 Privacy-first approach If you ever use voice typing even occasionally, this is worth trying. 👉 Try it now! Typeless are now available for Mac, Windows, iOS and Android. #AI #Android #Productivity #VoiceTyping
0:33

Tried Typeless on my Android today, and honestly… I didn’t expect it to feel this smooth. This isn’t the usual voice typing where you have to speak slowly and still end up fixing half the sentence. With Typeless (Typeless), I just talked normally, like I’m explaining something to a friend, and it instantly turned my speech into clean, polished writing. It removed all the “um,” “uh,” repeated words, and even corrected my mid-sentence changes automatically. It genuinely felt like an AI editor built directly into the keyboard. What I liked most: ⚡ Way faster than typing 🎙️ You can speak to rephrase or refine instantly 📱 Works across apps like WhatsApp, Email, Notes, Slack 🌍 Supports 100+ languages 🔒 Privacy-first approach If you ever use voice typing even occasionally, this is worth trying. 👉 Try it now! Typeless are now available for Mac, Windows, iOS and Android. #AI #Android #Productivity #VoiceTyping

Kiran Bharambe

96,997 Aufrufe • vor 5 Monaten

Let's build a Deepseek Wrapper (Mobile App) without writing a single line of code! Everyone is talking about building web apps with AI, but no one is talking about building mobile apps. This video tutorial and @senior_swc template (built by ) will help you get starting building an app on iOS. This is react native so it's also compatible with Android and Web (But we will cover this in a future video). The point of this video is to get some experience in the simulator and to start building an app. In a video, soon, we will take the app we've built, test it on our phone, and put it on Test-Flight! (Without writing ANY code!) Just a warning: The DeepSeek API has been tough to rely on. So I decided to add Gemini into my app as a backup, which you can do as well (with any AI model) The code for template is on the next tweet. Timestamps: 00:00 Introduction 01:35 Setting Up Xcode and iPhone Simulator 02:29 Downloading and Configuring Cursor 04:10 Forking the Template and Initial Setup 06:10 Implementing Authentication with Clerk 08:23 Adding DeepSeek API and Testing 13:35 Enhancing the App with SupaData API 19:00 Using the Serp API to fetch video links 23:00 Figuring things out 27:30 Woohoo!!! Perplexitube Shout out to Galaxies-dev on GitHub, who's repo (chatgpt-clone-react-native), we very helpful in building this template quickly.
28:54

Let's build a Deepseek Wrapper (Mobile App) without writing a single line of code! Everyone is talking about building web apps with AI, but no one is talking about building mobile apps. This video tutorial and @senior_swc template (built by ) will help you get starting building an app on iOS. This is react native so it's also compatible with Android and Web (But we will cover this in a future video). The point of this video is to get some experience in the simulator and to start building an app. In a video, soon, we will take the app we've built, test it on our phone, and put it on Test-Flight! (Without writing ANY code!) Just a warning: The DeepSeek API has been tough to rely on. So I decided to add Gemini into my app as a backup, which you can do as well (with any AI model) The code for template is on the next tweet. Timestamps: 00:00 Introduction 01:35 Setting Up Xcode and iPhone Simulator 02:29 Downloading and Configuring Cursor 04:10 Forking the Template and Initial Setup 06:10 Implementing Authentication with Clerk 08:23 Adding DeepSeek API and Testing 13:35 Enhancing the App with SupaData API 19:00 Using the Serp API to fetch video links 23:00 Figuring things out 27:30 Woohoo!!! Perplexitube Shout out to Galaxies-dev on GitHub, who's repo (chatgpt-clone-react-native), we very helpful in building this template quickly.

Riley Brown

128,580 Aufrufe • vor 1 Jahr

This guy deserves to get Famous .. Such an amazing achievement at such young age .. The AirPods Feature Apple Quietly Took Away From Android Users Most companies build ecosystems. Apple builds walls. If you use AirPods with an Android phone, you already know this. Noise cancellation disabled. Ear detection gone. Features you paid for, locked behind a device you don't own. Not because the hardware can't do it because Apple decided it shouldn't. For most people, that's just the cost of choosing Android. Something you accept and move on from. Kavish Dewar didn't move on. In this video, we cover the full story: 1. How Apple restricts AirPods features on Android and why it is a deliberate design choice, not a technical limitation 2. How a 16-year-old high school student from Gurugram reverse-engineered that restriction system with no team, no funding, and no formal training 3. What LibrePods actually does and why it works so effectively 4. How the project went from a bedroom in Gurugram to GitHub's trending page to global coverage by The Verge 5. Why Kavish made LibrePods completely free and open source and what that decision says about the difference between building for impact versus building for profit Why this story matters beyond the tech: LibrePods is not just a clever app. It is a direct challenge to the idea that trillion dollar companies get to define the limits of what you can do with hardware you already own. One teenager decided that was worth fighting not with lawyers, not with a startup, but with clean code and an open license. That is a different kind of power. And it is available to anyone willing to use it.
1:00

This guy deserves to get Famous .. Such an amazing achievement at such young age .. The AirPods Feature Apple Quietly Took Away From Android Users Most companies build ecosystems. Apple builds walls. If you use AirPods with an Android phone, you already know this. Noise cancellation disabled. Ear detection gone. Features you paid for, locked behind a device you don't own. Not because the hardware can't do it because Apple decided it shouldn't. For most people, that's just the cost of choosing Android. Something you accept and move on from. Kavish Dewar didn't move on. In this video, we cover the full story: 1. How Apple restricts AirPods features on Android and why it is a deliberate design choice, not a technical limitation 2. How a 16-year-old high school student from Gurugram reverse-engineered that restriction system with no team, no funding, and no formal training 3. What LibrePods actually does and why it works so effectively 4. How the project went from a bedroom in Gurugram to GitHub's trending page to global coverage by The Verge 5. Why Kavish made LibrePods completely free and open source and what that decision says about the difference between building for impact versus building for profit Why this story matters beyond the tech: LibrePods is not just a clever app. It is a direct challenge to the idea that trillion dollar companies get to define the limits of what you can do with hardware you already own. One teenager decided that was worth fighting not with lawyers, not with a startup, but with clean code and an open license. That is a different kind of power. And it is available to anyone willing to use it.

AstroCounselKK 🇮🇳

31,158 Aufrufe • vor 3 Monaten

Windows 11’s hidden CPU boost is now available in the May optional update! I installed KB5089573 (Build 26200.8524) and tested the Low Latency Profile again. For now, this feature does not make your apps launch faster, as that particular change is not included in today's update. However, the Low Latency Profile currently makes OS flyouts load faster. This means the Start menu opens with less lag, and Action Center feels smoother. Plus, right-click menus show less of that annoying rendering delay. On slower PCs, this should matter even more because Windows briefly pushes the CPU harder during shell interactions, then lets it drop back to idle. Some people call this a lazy band-aid, but that misses the point. macOS and Linux already have similar tricks. This is how modern systems make interactions feel instant. The real win comes when Microsoft combines this with native WinUI 3 work and less WebView2 bloat. Windows 11 finally feels like it’s being tuned for responsiveness again.
0:21

Windows 11’s hidden CPU boost is now available in the May optional update! I installed KB5089573 (Build 26200.8524) and tested the Low Latency Profile again. For now, this feature does not make your apps launch faster, as that particular change is not included in today's update. However, the Low Latency Profile currently makes OS flyouts load faster. This means the Start menu opens with less lag, and Action Center feels smoother. Plus, right-click menus show less of that annoying rendering delay. On slower PCs, this should matter even more because Windows briefly pushes the CPU harder during shell interactions, then lets it drop back to idle. Some people call this a lazy band-aid, but that misses the point. macOS and Linux already have similar tricks. This is how modern systems make interactions feel instant. The real win comes when Microsoft combines this with native WinUI 3 work and less WebView2 bloat. Windows 11 finally feels like it’s being tuned for responsiveness again.

Windows Latest

218,973 Aufrufe • vor 1 Monat

each mac is fully controlled by a single AGENT. it can operate browsers with insane efficiency and interact directly with native mac apps. under each agent there are multiple SOTA SUBAGENTS including claude code. we can literally tell dozens of agents to post content on their own accounts simultaneously. not building a social media bot farm obviously, just a random example. the whole system is extremely human friendly. zero setup needed. no config. just works out of the box. this is designed for daily use on your personal machine. the mac mini cluster is just for testing, training, and exploring fun use cases. no download link yet. the current flowithOS beta online is a completely different thing. this new version is way more powerful with a much better experience. might open internal testing further next week.
0:50

each mac is fully controlled by a single AGENT. it can operate browsers with insane efficiency and interact directly with native mac apps. under each agent there are multiple SOTA SUBAGENTS including claude code. we can literally tell dozens of agents to post content on their own accounts simultaneously. not building a social media bot farm obviously, just a random example. the whole system is extremely human friendly. zero setup needed. no config. just works out of the box. this is designed for daily use on your personal machine. the mac mini cluster is just for testing, training, and exploring fun use cases. no download link yet. the current flowithOS beta online is a completely different thing. this new version is way more powerful with a much better experience. might open internal testing further next week.

Derek Nee

27,594 Aufrufe • vor 5 Monaten

Kasia v0.2.0 is here—our biggest update yet! 🚀 We’ve been busy building. Here’s what’s new: Payments are Here! 💸 Send $KAS directly in chat. Seamless, in-message payments. Send custom messages with a payment. KNS Integration 📛 No more long addresses. Use .kas names or just the name to message and pay. Go Mobile! 📱 Fully mobile-friendly. Kasia on the go. Native apps coming soon™. Major UI/UX Overhaul ✨ - Redesigned home screen & message bubbles - Uniquely generated avatars on desktop to visually ID contacts - Replaced alerts with smooth toast notifications - No more estimate fee flickering with a clean redesign Advanced Wallet Features 🛠️ - UTXO Compounding to reduce fees - Priority Fee Selector for custom speed - Custom Kaspa Node URL support Media & Performance Boosts 📸⚡ - Image compression & resizing on upload - take photos from your phone and send - Faster message fetching with optimized decryption - Handshake flow overhaul and improvements - Improved Export / Import functionality. Thanks for supporting the future of decentralized private communication. Check out v0.2.0 and tell us what you think!
0:31

Kasia v0.2.0 is here—our biggest update yet! 🚀 We’ve been busy building. Here’s what’s new: Payments are Here! 💸 Send $KAS directly in chat. Seamless, in-message payments. Send custom messages with a payment. KNS Integration 📛 No more long addresses. Use .kas names or just the name to message and pay. Go Mobile! 📱 Fully mobile-friendly. Kasia on the go. Native apps coming soon™. Major UI/UX Overhaul ✨ - Redesigned home screen & message bubbles - Uniquely generated avatars on desktop to visually ID contacts - Replaced alerts with smooth toast notifications - No more estimate fee flickering with a clean redesign Advanced Wallet Features 🛠️ - UTXO Compounding to reduce fees - Priority Fee Selector for custom speed - Custom Kaspa Node URL support Media & Performance Boosts 📸⚡ - Image compression & resizing on upload - take photos from your phone and send - Faster message fetching with optimized decryption - Handshake flow overhaul and improvements - Improved Export / Import functionality. Thanks for supporting the future of decentralized private communication. Check out v0.2.0 and tell us what you think!

Kasia

67,998 Aufrufe • vor 1 Jahr

Have you ever wanted your terminal to look like an authentic CRT? Of course you have. Well, LOOK NO FURTHER because the future (or is it the past?) is now. And people ask why you'd ever need a GPU-rendered terminal.... HAH! My yak has no more hair to shave. This demo is crazier than it seems: you can actually specify any custom shader, and the shader API is compatible with ShaderToy, so you can take any off-the-shelf shader from ShaderToy and this works. The tech behind this is super over the top. Ghostty is cross-platform and uses Metal directly on macOS and OpenGL on Linux. Metal and OpenGL use different shading languages. No problem! You specify the custom shader in GLSL (OpenGL language) and it’s automatically translated to SPIR-V (binary IR) then automatically translated to MSL (Metal language). That all happens at runtime because why not. Yeah but this has to kill your battery right? Nope! <1% CPU and <1% GPU because computers are fast (especially when you're working at a relatively low level).
0:21

Have you ever wanted your terminal to look like an authentic CRT? Of course you have. Well, LOOK NO FURTHER because the future (or is it the past?) is now. And people ask why you'd ever need a GPU-rendered terminal.... HAH! My yak has no more hair to shave. This demo is crazier than it seems: you can actually specify any custom shader, and the shader API is compatible with ShaderToy, so you can take any off-the-shelf shader from ShaderToy and this works. The tech behind this is super over the top. Ghostty is cross-platform and uses Metal directly on macOS and OpenGL on Linux. Metal and OpenGL use different shading languages. No problem! You specify the custom shader in GLSL (OpenGL language) and it’s automatically translated to SPIR-V (binary IR) then automatically translated to MSL (Metal language). That all happens at runtime because why not. Yeah but this has to kill your battery right? Nope! <1% CPU and <1% GPU because computers are fast (especially when you're working at a relatively low level).

Mitchell Hashimoto

200,104 Aufrufe • vor 2 Jahren

🚀 ZKX Wallet Web App is NOW LIVE! The ZKX Wallet | The Private Trading Wallet is no longer tied to specific operating systems or app stores. We’ve rebuilt the same codebase that powers our ZKX Extension into a fully functional web app. With this release, ZKX Wallet is now accessible on any device with a modern web browser: • iOS (Safari, Chrome, etc.) • macOS • Windows • Linux • Android • ChromeOS • …and basically anything else with a browser No native installation is required for core access. You can also install it as a Progressive Web App (PWA) for a more app-like experience on supported devices. Your keys remain fully in your control. Even your HOT wallet is protected with encrypted passkey-based security, with no backup dependency or identity linking. Railgun shielding works seamlessly, hardware wallet support (including QR-based signing) is included, and you get unified private and public balance management across EVM chains and PulseChain. We can now ship new features almost daily to improve the wallet experience for our users. Privacy. Security. Accessibility. Universal.
0:48

🚀 ZKX Wallet Web App is NOW LIVE! The ZKX Wallet | The Private Trading Wallet is no longer tied to specific operating systems or app stores. We’ve rebuilt the same codebase that powers our ZKX Extension into a fully functional web app. With this release, ZKX Wallet is now accessible on any device with a modern web browser: • iOS (Safari, Chrome, etc.) • macOS • Windows • Linux • Android • ChromeOS • …and basically anything else with a browser No native installation is required for core access. You can also install it as a Progressive Web App (PWA) for a more app-like experience on supported devices. Your keys remain fully in your control. Even your HOT wallet is protected with encrypted passkey-based security, with no backup dependency or identity linking. Railgun shielding works seamlessly, hardware wallet support (including QR-based signing) is included, and you get unified private and public balance management across EVM chains and PulseChain. We can now ship new features almost daily to improve the wallet experience for our users. Privacy. Security. Accessibility. Universal.

Liberty Swap | C.R.O.P.S. on PulseChain

34,488 Aufrufe • vor 24 Tagen

Hey everyone, today I want to introduce a project that’s aiming to redefine how we access compute for AI — it’s called GPUAI. 🔶 GPUAI: Unlocking Global GPU Power for the AI Era GPUAI isn’t just another GPU marketplace or leasing service. It’s a fully decentralized protocol that connects idle GPU resources around the world — from gaming PCs to data center clusters — and transforms them into a high-performance compute network for AI workloads. 🧠 Why does it matter? Right now, the biggest bottleneck in AI isn’t algorithms — it’s access to compute. Training and running models requires massive GPU power, but it’s locked up in centralized cloud platforms, expensive and hard to access for smaller teams. With GPUAI, anyone can tap into a global GPU pool that’s: ✅ Fully decentralized ✅ Reputation-based and smart contract coordinated ✅ Encrypted and secure ✅ Token-incentivized — meaning contributors get rewarded in $GPUAI 📈 For developers, it’s a flexible way to access GPU compute for training, inference, and more — without cloud lock-in. 💰 For GPU owners, it’s a chance to monetize idle hardware that would otherwise go unused. The protocol is live, the apps are active, and the ecosystem is growing fast. 🌐 Try it yourself at 📖 Learn more on 🎮 Play our community games at This is real infrastructure for the future of AI, not hype. Follow them and explore their mission of decentralized computing at Tell me what you think - if you have a GPU, you can start profiting now. #GPUAI #Web3Infrastructure #AIComputing #DePIN #Decentralization
1:25

Hey everyone, today I want to introduce a project that’s aiming to redefine how we access compute for AI — it’s called GPUAI. 🔶 GPUAI: Unlocking Global GPU Power for the AI Era GPUAI isn’t just another GPU marketplace or leasing service. It’s a fully decentralized protocol that connects idle GPU resources around the world — from gaming PCs to data center clusters — and transforms them into a high-performance compute network for AI workloads. 🧠 Why does it matter? Right now, the biggest bottleneck in AI isn’t algorithms — it’s access to compute. Training and running models requires massive GPU power, but it’s locked up in centralized cloud platforms, expensive and hard to access for smaller teams. With GPUAI, anyone can tap into a global GPU pool that’s: ✅ Fully decentralized ✅ Reputation-based and smart contract coordinated ✅ Encrypted and secure ✅ Token-incentivized — meaning contributors get rewarded in $GPUAI 📈 For developers, it’s a flexible way to access GPU compute for training, inference, and more — without cloud lock-in. 💰 For GPU owners, it’s a chance to monetize idle hardware that would otherwise go unused. The protocol is live, the apps are active, and the ecosystem is growing fast. 🌐 Try it yourself at 📖 Learn more on 🎮 Play our community games at This is real infrastructure for the future of AI, not hype. Follow them and explore their mission of decentralized computing at Tell me what you think - if you have a GPU, you can start profiting now. #GPUAI #Web3Infrastructure #AIComputing #DePIN #Decentralization

The Crypto GEMs

69,984 Aufrufe • vor 1 Jahr