[{"id":"pixel-compiler","numericId":11,"title":"Pixel Compiler","status":"In Progress","type":"tool","snippet":"fn compile(ast: &Node) -> Vec<u8> {\n  match ast.kind {\n    NodeKind::Literal(v) => vec![0x01, v],\n    NodeKind::Binary(op) => {...}\n  }\n}","description":"A custom compiler that translates visual pixel-based syntax into optimized bytecode. Inspired by the idea that code should be as visual as the output it produces. Currently targeting WebAssembly as the compilation target.","content":"\n<p>A custom compiler that translates visual pixel-based syntax into optimized bytecode. Inspired by the idea that code should be as visual as the output it produces. Currently targeting WebAssembly as the compilation target.<\/p>\n\n\n<div class=\"demilevski-snippet-block border border-border p-8 bg-secondary relative my-8\"><span class=\"font-mono text-[10px] uppercase tracking-widest text-muted-foreground mb-4 block\">Snippet<\/span><pre class=\"font-mono text-sm leading-relaxed text-foreground overflow-x-auto whitespace-pre\"><code>fn compile(ast: &amp;Node) -&gt; Vec&lt;u8&gt; {n  match ast.kind {n    NodeKind::Literal(v) =&gt; vec![0x01, v],n    NodeKind::Binary(op) =&gt; {...}n  }n}<\/code><\/pre><div class=\"absolute inset-0 bg-halftone opacity-30 pointer-events-none\"><\/div><\/div>","gridArea":"span 2 \/ span 2"},{"id":"zero-latency-db","numericId":12,"title":"Zero-Latency DB","status":"Exploring","type":"experiment","snippet":"SELECT * FROM events\nWHERE timestamp > NOW() - '1s'\nORDER BY latency ASC\nLIMIT 1000;","description":"An experimental database engine exploring the theoretical limits of query latency. Uses predictive caching and speculative execution to return results before the query is fully parsed.","content":"\n<p>An experimental database engine exploring the theoretical limits of query latency. Uses predictive caching and speculative execution to return results before the query is fully parsed.<\/p>\n\n\n<div class=\"demilevski-snippet-block border border-border p-8 bg-secondary relative my-8\"><span class=\"font-mono text-[10px] uppercase tracking-widest text-muted-foreground mb-4 block\">Snippet<\/span><pre class=\"font-mono text-sm leading-relaxed text-foreground overflow-x-auto whitespace-pre\"><code>SELECT * FROM eventsnWHERE timestamp &gt; NOW() - &#039;1s&#039;nORDER BY latency ASCnLIMIT 1000;<\/code><\/pre><div class=\"absolute inset-0 bg-halftone opacity-30 pointer-events-none\"><\/div><\/div>","gridArea":"span 1 \/ span 1"},{"id":"type-weaver","numericId":13,"title":"Type Weaver","status":"Prototype","type":"concept","snippet":"type Weave<A, B> = {\n  [K in keyof A | keyof B]:\n    K extends keyof A ? A[K] :\n    K extends keyof B ? B[K] : never\n};","description":"A TypeScript metaprogramming framework that weaves multiple type systems together. Enables seamless interop between different type paradigms while maintaining full type safety.","content":"\n<p>A TypeScript metaprogramming framework that weaves multiple type systems together. Enables seamless interop between different type paradigms while maintaining full type safety.<\/p>\n\n\n<div class=\"demilevski-snippet-block border border-border p-8 bg-secondary relative my-8\"><span class=\"font-mono text-[10px] uppercase tracking-widest text-muted-foreground mb-4 block\">Snippet<\/span><pre class=\"font-mono text-sm leading-relaxed text-foreground overflow-x-auto whitespace-pre\"><code>type Weave&lt;A, B&gt; = {n  [K in keyof A | keyof B]:n    K extends keyof A ? A[K] :n    K extends keyof B ? B[K] : nevern};<\/code><\/pre><div class=\"absolute inset-0 bg-halftone opacity-30 pointer-events-none\"><\/div><\/div>","gridArea":"span 1 \/ span 1"},{"id":"neural-css","numericId":14,"title":"Neural CSS","status":"Exploring","type":"concept","snippet":".container {\n  display: neural-grid;\n  align: perception(center);\n  flow: consciousness(auto);\n}","description":"What if CSS could learn from user behavior? Neural CSS is an exploration into adaptive stylesheets that evolve based on how users interact with the interface. Layout decisions are informed by attention heatmaps.","content":"\n<p>What if CSS could learn from user behavior? Neural CSS is an exploration into adaptive stylesheets that evolve based on how users interact with the interface. Layout decisions are informed by attention heatmaps.<\/p>\n\n\n<div class=\"demilevski-snippet-block border border-border p-8 bg-secondary relative my-8\"><span class=\"font-mono text-[10px] uppercase tracking-widest text-muted-foreground mb-4 block\">Snippet<\/span><pre class=\"font-mono text-sm leading-relaxed text-foreground overflow-x-auto whitespace-pre\"><code>.container {n  display: neural-grid;n  align: perception(center);n  flow: consciousness(auto);n}<\/code><\/pre><div class=\"absolute inset-0 bg-halftone opacity-30 pointer-events-none\"><\/div><\/div>","gridArea":"span 2 \/ span 1"},{"id":"quantum-state","numericId":15,"title":"Quantum State","status":"In Progress","type":"experiment","snippet":"const state = useQuantum({\n  superposition: [0, 1],\n  observe: (s) => collapse(s),\n  entangle: ['componentA']\n});","description":"A React state management library inspired by quantum mechanics. State exists in superposition until observed by a component, enabling lazy evaluation and optimal re-rendering strategies.","content":"\n<p>A React state management library inspired by quantum mechanics. State exists in superposition until observed by a component, enabling lazy evaluation and optimal re-rendering strategies.<\/p>\n\n\n<div class=\"demilevski-snippet-block border border-border p-8 bg-secondary relative my-8\"><span class=\"font-mono text-[10px] uppercase tracking-widest text-muted-foreground mb-4 block\">Snippet<\/span><pre class=\"font-mono text-sm leading-relaxed text-foreground overflow-x-auto whitespace-pre\"><code>const state = useQuantum({n  superposition: [0, 1],n  observe: (s) =&gt; collapse(s),n  entangle: [&#039;componentA&#039;]n});<\/code><\/pre><div class=\"absolute inset-0 bg-halftone opacity-30 pointer-events-none\"><\/div><\/div>","gridArea":"span 1 \/ span 2"},{"id":"mesh-protocol","numericId":16,"title":"Mesh Protocol","status":"Prototype","type":"protocol","snippet":"mesh.connect({\n  peers: discover('local'),\n  encryption: 'e2e',\n  consensus: 'raft',\n  maxLatency: '0ms'\n});","description":"A peer-to-peer communication protocol designed for real-time collaborative applications. Uses a modified Raft consensus algorithm optimized for low-latency environments.","content":"\n<p>A peer-to-peer communication protocol designed for real-time collaborative applications. Uses a modified Raft consensus algorithm optimized for low-latency environments.<\/p>\n\n\n<div class=\"demilevski-snippet-block border border-border p-8 bg-secondary relative my-8\"><span class=\"font-mono text-[10px] uppercase tracking-widest text-muted-foreground mb-4 block\">Snippet<\/span><pre class=\"font-mono text-sm leading-relaxed text-foreground overflow-x-auto whitespace-pre\"><code>mesh.connect({n  peers: discover(&#039;local&#039;),n  encryption: &#039;e2e&#039;,n  consensus: &#039;raft&#039;,n  maxLatency: &#039;0ms&#039;n});<\/code><\/pre><div class=\"absolute inset-0 bg-halftone opacity-30 pointer-events-none\"><\/div><\/div>","gridArea":"span 1 \/ span 1"}]