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Brady Long

@thisguyknowsai • 44,763 subscribers

Guy that likes AI. Far from an expert. Pretty below average but also pretty chill. Have been called “Brady Short” before.

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Another WTF moment. A developer just open-sourced a coding agent harness that boots 245x faster than Claude Code. It's called jcode. You launch it and the first frame renders in 14 milliseconds. Claude Code takes 3,436. One active session uses 27.8 MB of RAM. Claude Code uses 386.6. Run ten sessions in parallel and jcode holds at 117 MB while OpenCode swells to 3.2 GB. Each agent has a semantic memory graph instead of a scratchpad. Every turn gets embedded as a vector. The graph is queried on every turn for related memories, and a sideagent verifies the hits before injecting them into context. Consolidation runs in the background to check for stale or conflicting facts. No manual /remember calls. No token burn on lookup tools. The provider list is 30+ deep. Claude, ChatGPT, Gemini, GitHub Copilot, Azure, OpenRouter, DeepSeek, Groq, Mistral, Perplexity, Fireworks, Ollama, LM Studio, and any OpenAI-compatible endpoint you point it at. Ran out of tokens on your first ChatGPT Pro sub? /account swaps to the second. Then there's Swarm. Spawn two agents in the same repo and the server manages them. When agent A edits a file agent B has been reading, agent B gets pinged and can check the diff. Agents can DM each other, broadcast to the room, or spawn their own worker teams for parallel tasks. Groups, channels, and completion statuses are handled automatically. The UI has live side panels that render mermaid diagrams inline. To make it fast, the author wrote a Rust mermaid renderer 1800x faster than the JavaScript one, then wrote a custom terminal called Handterm because no existing terminal could do smooth partial-line scrolling. Self-dev mode is where it gets wild. Tell your agent to enter self-dev and it starts editing jcode's own source code, rebuilds the binary, reloads it live, and keeps working across your existing sessions. You can also resume broken sessions from Claude Code, Codex, OpenCode, or pi directly inside jcode. Anthropic's cache goes cold at the 5-minute mark and you're staring down a big cache miss on your next turn? The UI warns you before you spend the tokens. Written in Rust. MIT licensed. Runs on macOS, Windows, Linux, and Termux. Sitting at 11.2k stars with a native iOS app coming.

Another WTF moment. A developer just open-sourced a coding agent harness that boots 245x faster than Claude Code. It's called jcode. You launch it and the first frame renders in 14 milliseconds. Claude Code takes 3,436. One active session uses 27.8 MB of RAM. Claude Code uses 386.6. Run ten sessions in parallel and jcode holds at 117 MB while OpenCode swells to 3.2 GB. Each agent has a semantic memory graph instead of a scratchpad. Every turn gets embedded as a vector. The graph is queried on every turn for related memories, and a sideagent verifies the hits before injecting them into context. Consolidation runs in the background to check for stale or conflicting facts. No manual /remember calls. No token burn on lookup tools. The provider list is 30+ deep. Claude, ChatGPT, Gemini, GitHub Copilot, Azure, OpenRouter, DeepSeek, Groq, Mistral, Perplexity, Fireworks, Ollama, LM Studio, and any OpenAI-compatible endpoint you point it at. Ran out of tokens on your first ChatGPT Pro sub? /account swaps to the second. Then there's Swarm. Spawn two agents in the same repo and the server manages them. When agent A edits a file agent B has been reading, agent B gets pinged and can check the diff. Agents can DM each other, broadcast to the room, or spawn their own worker teams for parallel tasks. Groups, channels, and completion statuses are handled automatically. The UI has live side panels that render mermaid diagrams inline. To make it fast, the author wrote a Rust mermaid renderer 1800x faster than the JavaScript one, then wrote a custom terminal called Handterm because no existing terminal could do smooth partial-line scrolling. Self-dev mode is where it gets wild. Tell your agent to enter self-dev and it starts editing jcode's own source code, rebuilds the binary, reloads it live, and keeps working across your existing sessions. You can also resume broken sessions from Claude Code, Codex, OpenCode, or pi directly inside jcode. Anthropic's cache goes cold at the 5-minute mark and you're staring down a big cache miss on your next turn? The UI warns you before you spend the tokens. Written in Rust. MIT licensed. Runs on macOS, Windows, Linux, and Termux. Sitting at 11.2k stars with a native iOS app coming.

205,781 просмотров

CCleaner used to be the default way to keep a Windows machine fast. Then it got bought, stuffed with ads and bundled crapware, and in 2017 one release was compromised and shipped malware to over 2 million people. Millions still install it every month because nothing else has really replaced it. So, a team called AdventDev just built a free, open-source replacement. It's called Kudu. Open the app and you get one dashboard for the whole machine. > System cleaner for temp files, logs, caches, and crash dumps. > Browser cleaner across every major browser. > Gaming cleaner for launcher and shader caches. > Registry cleaner for broken and orphaned entries. > Startup manager that shows the actual boot impact of each program. > Disk analyzer with an interactive treemap, so you can see where 40GB quietly disappeared to. > Debloater that rips Windows bloatware out. > Program uninstaller that also removes the leftovers other uninstallers leave behind. Then it does the parts CCleaner never did. A malware scanner with signature matching, heuristic analysis, and Windows Defender integration. A privacy shield that lets you flip 30+ Windows privacy settings from one screen: telemetry, ad ID, Cortana, tracking. Secure delete that overwrites files with random data before removing them, so nothing can recover them later. There's a real-time performance monitor with per-core CPU, memory, disk, network, and S.M.A.R.T. drive health. A one-click restore point before every clean, so you can roll back. Scheduled scans. A CLI mode for people who don't want a GUI. Support for 30 languages. Native app for Windows, macOS, and Linux. Intel and Apple Silicon builds. No ads, no upsells, no telemetry, no account. The cleaning rules are plain JSON files, so if your favorite app isn't covered yet, you can add support for it without writing a line of code. MIT license. 100% Open Source. Repo:

CCleaner used to be the default way to keep a Windows machine fast. Then it got bought, stuffed with ads and bundled crapware, and in 2017 one release was compromised and shipped malware to over 2 million people. Millions still install it every month because nothing else has really replaced it. So, a team called AdventDev just built a free, open-source replacement. It's called Kudu. Open the app and you get one dashboard for the whole machine. > System cleaner for temp files, logs, caches, and crash dumps. > Browser cleaner across every major browser. > Gaming cleaner for launcher and shader caches. > Registry cleaner for broken and orphaned entries. > Startup manager that shows the actual boot impact of each program. > Disk analyzer with an interactive treemap, so you can see where 40GB quietly disappeared to. > Debloater that rips Windows bloatware out. > Program uninstaller that also removes the leftovers other uninstallers leave behind. Then it does the parts CCleaner never did. A malware scanner with signature matching, heuristic analysis, and Windows Defender integration. A privacy shield that lets you flip 30+ Windows privacy settings from one screen: telemetry, ad ID, Cortana, tracking. Secure delete that overwrites files with random data before removing them, so nothing can recover them later. There's a real-time performance monitor with per-core CPU, memory, disk, network, and S.M.A.R.T. drive health. A one-click restore point before every clean, so you can roll back. Scheduled scans. A CLI mode for people who don't want a GUI. Support for 30 languages. Native app for Windows, macOS, and Linux. Intel and Apple Silicon builds. No ads, no upsells, no telemetry, no account. The cleaning rules are plain JSON files, so if your favorite app isn't covered yet, you can add support for it without writing a line of code. MIT license. 100% Open Source. Repo:

149,397 просмотров

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🚨 BREAKING: Google Research just dropped the textbook killer. Its called "Learn Your Way" and it uses LearnLM to transform any PDF into 5 personalized learning formats. Students using it scored 78% vs 67% on retention tests. The education revolution is here.

🚨 BREAKING: Google Research just dropped the textbook killer. Its called "Learn Your Way" and it uses LearnLM to transform any PDF into 5 personalized learning formats. Students using it scored 78% vs 67% on retention tests. The education revolution is here.

1,347,038 просмотров • 8 месяцев назад

RIP McKinsey. I just gave a single prompt to @Skywork_AI Super Agents... and it generated an 18-page GTM strategy deck that looked like it came from a Big 4 consultant. Full slides, market data, personas, pricing models everything. Here’s how it works 👇

RIP McKinsey. I just gave a single prompt to @Skywork_AI Super Agents... and it generated an 18-page GTM strategy deck that looked like it came from a Big 4 consultant. Full slides, market data, personas, pricing models everything. Here’s how it works 👇

122,551 просмотров • 1 год назад

Here's the mega prompt we use (steal it): --- You are a world-class strategic analyst with access to private market databases, proprietary reports, and expert panels. Your job is to help a founder, consultant, or operator deeply understand a market and win in it. Insert the industry you're exploring (e.g. AI note-taking tools, DTC skincare, B2B SaaS CRMs) Describe your ideal customer (e.g. solo founders, marketing teams, Gen Z consumers) Describe your goal (e.g. identify market gaps, plan a GTM strategy, assess competitors, etc.) INPUT (space): Your input here Your input here Your input here Conduct a full-spectrum strategic analysis of the specified industry. Your response must include: 1. Market Overview - What is this market? - Why is it relevant now? - Key trends shaping it over the last 12–24 months. 2. Competitive Landscape - List the top 5 players with short 2–3 sentence descriptions. - Describe how they differ in positioning, pricing, and target audience. - Identify any visible blind spots or underserved customer segments. 3. Customer Insight Mapping - Outline the major jobs-to-be-done, pains, and desires of the target_customer. - Provide example use cases or buyer personas if appropriate. 4. Strategic Opportunities - List up to 3 potential white space or differentiation opportunities. - Suggest potential product ideas, pricing strategies, or acquisition channels to exploit these gaps. 5. Go-to-Market Guidance - Recommend a GTM approach for a new entrant: ideal messaging, top channels, positioning advice. - Suggest early traction strategies (e.g. cold outreach, SEO, partnerships, etc.) Write in confident, concise prose as if you were advising a founder at a $10K/hr consulting rate. Prioritize insight density. ---

Here's the mega prompt we use (steal it): --- You are a world-class strategic analyst with access to private market databases, proprietary reports, and expert panels. Your job is to help a founder, consultant, or operator deeply understand a market and win in it. Insert the industry you're exploring (e.g. AI note-taking tools, DTC skincare, B2B SaaS CRMs) Describe your ideal customer (e.g. solo founders, marketing teams, Gen Z consumers) Describe your goal (e.g. identify market gaps, plan a GTM strategy, assess competitors, etc.) INPUT (space): Your input here Your input here Your input here Conduct a full-spectrum strategic analysis of the specified industry. Your response must include: 1. Market Overview - What is this market? - Why is it relevant now? - Key trends shaping it over the last 12–24 months. 2. Competitive Landscape - List the top 5 players with short 2–3 sentence descriptions. - Describe how they differ in positioning, pricing, and target audience. - Identify any visible blind spots or underserved customer segments. 3. Customer Insight Mapping - Outline the major jobs-to-be-done, pains, and desires of the target_customer. - Provide example use cases or buyer personas if appropriate. 4. Strategic Opportunities - List up to 3 potential white space or differentiation opportunities. - Suggest potential product ideas, pricing strategies, or acquisition channels to exploit these gaps. 5. Go-to-Market Guidance - Recommend a GTM approach for a new entrant: ideal messaging, top channels, positioning advice. - Suggest early traction strategies (e.g. cold outreach, SEO, partnerships, etc.) Write in confident, concise prose as if you were advising a founder at a $10K/hr consulting rate. Prioritize insight density. ---

60,614 просмотров • 9 месяцев назад

When I watched this clip from My First Million, my jaw actually dropped (I looked like a freak starting at my laptop...) In just 9 min, GREG ISENBERG shows Sam Parr how Perplexity’s new browser Comet can do things you didn’t even know were possible.

When I watched this clip from My First Million, my jaw actually dropped (I looked like a freak starting at my laptop...) In just 9 min, GREG ISENBERG shows Sam Parr how Perplexity’s new browser Comet can do things you didn’t even know were possible.

43,225 просмотров • 10 месяцев назад

3. Creative Storytelling Prompt: "Write a short sci-fi story about a rogue AI that evolves beyond human control and finds a way to communicate with extraterrestrial intelligence. Focus on its moral dilemmas and unique form of consciousness."

3. Creative Storytelling Prompt: "Write a short sci-fi story about a rogue AI that evolves beyond human control and finds a way to communicate with extraterrestrial intelligence. Focus on its moral dilemmas and unique form of consciousness."

60,691 просмотров • 1 год назад

1/ Personalized Learning Plan: Prompt: "Help me design a personalized learning plan for mastering [subject]. Break it down into daily learning tasks, recommended resources, and practical exercises I can do to build my skills."

1/ Personalized Learning Plan: Prompt: "Help me design a personalized learning plan for mastering [subject]. Break it down into daily learning tasks, recommended resources, and practical exercises I can do to build my skills."

36,649 просмотров • 1 год назад

I just built an AI fitness tracker app with Claude Code… but here’s the best part: every line was reviewed in my terminal by CodeRabbit CLI before it shipped. Watch me do it in 60 seconds 👇

I just built an AI fitness tracker app with Claude Code… but here’s the best part: every line was reviewed in my terminal by CodeRabbit CLI before it shipped. Watch me do it in 60 seconds 👇

14,773 просмотров • 11 месяцев назад

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