No Hotspot Data

\n No Hotspots have been loaded yet. Click the button below to fetch\n New Orleans area Hotspots from the Helium API.\n

\n \n {backfilling ? \"Loading Hotspots...\" : \"Load NOLA Hotspots\"}\n \n {error &&

{error}

}\n

\n );\n }\n\n const currentIdx = selectedIdx >= 0 ? selectedIdx : 0;\n const minDate = snapshots.length > 0 ? snapshots[0].snapshot_date : selectedDate;\n const maxDate = snapshots.length > 0 ? snapshots[snapshots.length - 1].snapshot_date : selectedDate;\n\n return (\n

\n {/* Stats Panel with Legend */}\n

NOLA Hotspot Growth

Helium Mobile Hotspots in the New Orleans area

\n\n

Total Hotspots

{currentStats.total_count.toLocaleString()}

\n +{currentStats.new_count} new\n

\n\n

\n Showing: {selectedDate}\n

\n\n {/* Integrated Legend */}\n

\n < 7d\n

\n < 30d\n

\n 30d+\n

\n\n {/* Map Container */}\n \n {/* Tooltip/Popup */}\n {tooltip && (\n \n

\n {tooltip.cluster.count} Hotspot{tooltip.cluster.count !== 1 ? \"s\" : \"\"}\n

\n {name}\n ({h.created_at})\n

\n {tooltip.cluster.count > 10 && (\n

...and {tooltip.cluster.count - 10} more

\n )}\n

\n )}\n \n\n {/* Timeline with Histogram */}\n {snapshots.length > 0 && (\n

\n \n {isPlaying ? \"⏸\" : \"▶\"}\n \n\n

\n {/* Interactive Histogram */}\n \n {(() => {\n const cappedMax = 10;\n return snapshots.map((snapshot) => {\n const cappedCount = Math.min(snapshot.new_count, cappedMax);\n const height = (cappedCount / cappedMax) * 100;\n const isCapped = snapshot.new_count > cappedMax;\n return (\n \n );\n });\n })()}\n {/* Playhead indicator - centered on each bar, accounting for padding */}\n \n

\n {minDate}\n {maxDate}\n

\n \n )}\n \n );\n}\n",[],[218,225,232],[218,225],{"_104":240,"_97":241,"_163":242,"_165":219,"_166":148,"_167":243,"_169":119,"_106":244,"_101":33,"_171":172,"_173":-5,"_174":22,"_175":-5,"_176":245,"_100":255},"76b8c8be-faf2-11f0-9eac-42dde27851f2","utils","76b8c954-faf2-11f0-9eac-42dde27851f2",4,["D",1769457972930],[246],{"_104":247,"_97":248,"_163":249,"_165":242,"_166":148,"_167":250,"_169":119,"_106":251,"_101":33,"_171":184,"_173":252,"_174":22,"_175":-5,"_176":253,"_100":254},"76ea70da-faf2-11f0-b130-42dde27851f2","animalHash.ts","76ea718e-faf2-11f0-b130-42dde27851f2",8,["D",1769457973222],"// Exact implementation of angry-purple-tiger\n// https://github.com/helium/angry-purple-tiger\n// Using blueimp-md5 for correct MD5 hashing\n\nimport md5 from \"https://esm.sh/blueimp-md5@2.19.0\";\n\n// Word lists from the original library (exact order matters!)\nconst ADJECTIVES = [\n \"attractive\", \"bald\", \"beautiful\", \"rare\", \"clean\", \"dazzling\", \"lucky\", \"elegant\",\n \"fancy\", \"fit\", \"fantastic\", \"glamorous\", \"gorgeous\", \"handsome\", \"long\", \"magnificent\",\n \"muscular\", \"plain\", \"able\", \"quaint\", \"scruffy\", \"innocent\", \"short\", \"skinny\",\n \"acrobatic\", \"tall\", \"proper\", \"alert\", \"lone\", \"agreeable\", \"ambitious\", \"brave\",\n \"calm\", \"delightful\", \"eager\", \"faithful\", \"gentle\", \"happy\", \"jolly\", \"kind\",\n \"lively\", \"nice\", \"obedient\", \"polite\", \"proud\", \"silly\", \"thankful\", \"winning\",\n \"witty\", \"wonderful\", \"zealous\", \"expert\", \"amateur\", \"clumsy\", \"amusing\", \"vast\",\n \"fierce\", \"real\", \"helpful\", \"itchy\", \"atomic\", \"basic\", \"mysterious\", \"blurry\",\n \"perfect\", \"best\", \"powerful\", \"interesting\", \"decent\", \"wild\", \"jovial\", \"genuine\",\n \"broad\", \"brisk\", \"brilliant\", \"curved\", \"deep\", \"flat\", \"high\", \"hollow\", \"low\",\n \"narrow\", \"refined\", \"round\", \"shallow\", \"skinny\", \"square\", \"steep\", \"straight\", \"wide\",\n \"big\", \"colossal\", \"clever\", \"gigantic\", \"great\", \"huge\", \"immense\", \"large\",\n \"little\", \"mammoth\", \"massive\", \"micro\", \"mini\", \"petite\", \"puny\", \"scrawny\",\n \"small\", \"polished\", \"teeny\", \"tiny\", \"crazy\", \"dancing\", \"custom\", \"faint\",\n \"harsh\", \"formal\", \"howling\", \"loud\", \"melodic\", \"noisy\", \"upbeat\", \"quiet\",\n \"dandy\", \"raspy\", \"rhythmic\", \"daring\", \"zany\", \"digital\", \"dizzy\", \"exotic\",\n \"fun\", \"furry\", \"hidden\", \"ancient\", \"brief\", \"early\", \"fast\", \"future\", \"late\",\n \"modern\", \"old\", \"prehistoric\", \"zesty\", \"rapid\", \"slow\", \"swift\", \"young\",\n \"acidic\", \"bitter\", \"cool\", \"creamy\", \"keen\", \"tricky\", \"fresh\", \"special\",\n \"unique\", \"hot\", \"magic\", \"main\", \"nutty\", \"pet\", \"mythical\", \"ripe\", \"wobbly\",\n \"salty\", \"savory\", \"sour\", \"spicy\", \"bright\", \"stale\", \"sweet\", \"tangy\", \"tart\",\n \"rich\", \"rural\", \"urban\", \"breezy\", \"bumpy\", \"chilly\", \"cold\", \"cuddly\", \"damaged\",\n \"damp\", \"restless\", \"dry\", \"flaky\", \"fluffy\", \"virtual\", \"merry\", \"icy\", \"shiny\",\n \"melted\", \"joyous\", \"rough\", \"shaggy\", \"sharp\", \"radiant\", \"sticky\", \"strong\",\n \"soft\", \"uneven\", \"warm\", \"feisty\", \"cheery\", \"energetic\", \"abundant\", \"macho\",\n \"glorious\", \"mean\", \"quick\", \"precise\", \"stable\", \"spare\", \"sunny\", \"trendy\",\n \"shambolic\", \"striped\", \"boxy\", \"generous\", \"tame\", \"joyful\", \"festive\", \"bubbly\",\n \"soaring\", \"orbiting\", \"sparkly\", \"smooth\", \"docile\", \"original\", \"electric\",\n \"funny\", \"passive\", \"active\", \"cheesy\", \"blunt\", \"dapper\", \"bent\", \"curly\",\n \"oblong\", \"sneaky\", \"overt\", \"careful\", \"jumpy\", \"bouncy\", \"recumbent\", \"cheerful\",\n \"droll\", \"odd\", \"suave\", \"sleepy\",\n];\n\nconst COLORS = [\n \"white\", \"pearl\", \"alabaster\", \"snowy\", \"ivory\", \"cream\", \"cotton\", \"chiffon\",\n \"lace\", \"coconut\", \"linen\", \"bone\", \"daisy\", \"powder\", \"frost\", \"porcelain\",\n \"parchment\", \"velvet\", \"tan\", \"beige\", \"macaroon\", \"hazel\", \"felt\", \"metal\",\n \"gingham\", \"sand\", \"sepia\", \"latte\", \"vinyl\", \"glass\", \"hazelnut\", \"canvas\",\n \"wool\", \"yellow\", \"golden\", \"daffodil\", \"flaxen\", \"butter\", \"lemon\", \"mustard\",\n \"tartan\", \"blue\", \"cloth\", \"fiery\", \"banana\", \"plastic\", \"dijon\", \"honey\",\n \"blonde\", \"pineapple\", \"orange\", \"tangerine\", \"marigold\", \"cider\", \"rusty\",\n \"ginger\", \"tiger\", \"bronze\", \"fuzzy\", \"opaque\", \"clay\", \"carrot\", \"corduroy\",\n \"ceramic\", \"marmalade\", \"amber\", \"sandstone\", \"concrete\", \"red\", \"cherry\",\n \"hemp\", \"merlot\", \"garnet\", \"crimson\", \"ruby\", \"scarlet\", \"burlap\", \"brick\",\n \"bamboo\", \"mahogany\", \"blood\", \"sangria\", \"berry\", \"currant\", \"blush\", \"candy\",\n \"lipstick\", \"pink\", \"rose\", \"fuchsia\", \"punch\", \"watermelon\", \"rouge\", \"coral\",\n \"peach\", \"strawberry\", \"rosewood\", \"lemonade\", \"taffy\", \"bubblegum\", \"crepe\",\n \"hotpink\", \"purple\", \"mauve\", \"violet\", \"boysenberry\", \"lavender\", \"plum\",\n \"magenta\", \"lilac\", \"grape\", \"eggplant\", \"eggshell\", \"iris\", \"heather\", \"amethyst\",\n \"raisin\", \"orchid\", \"mulberry\", \"carbon\", \"slate\", \"sky\", \"navy\", \"indigo\",\n \"cobalt\", \"cedar\", \"ocean\", \"azure\", \"cerulean\", \"spruce\", \"stone\", \"aegean\",\n \"denim\", \"admiral\", \"sapphire\", \"arctic\", \"green\", \"chartreuse\", \"juniper\",\n \"sage\", \"lime\", \"fern\", \"olive\", \"emerald\", \"pear\", \"mossy\", \"shamrock\",\n \"seafoam\", \"pine\", \"mint\", \"seaweed\", \"pickle\", \"pistachio\", \"basil\", \"brown\",\n \"coffee\", \"chrome\", \"peanut\", \"carob\", \"hickory\", \"wooden\", \"pecan\", \"walnut\",\n \"caramel\", \"gingerbread\", \"syrup\", \"chocolate\", \"tortilla\", \"umber\", \"tawny\",\n \"brunette\", \"cinnamon\", \"glossy\", \"teal\", \"grey\", \"shadow\", \"graphite\", \"iron\",\n \"pewter\", \"cloud\", \"silver\", \"smoke\", \"gauze\", \"ash\", \"foggy\", \"flint\",\n \"charcoal\", \"pebble\", \"lead\", \"tin\", \"fossilized\", \"black\", \"ebony\", \"midnight\",\n \"inky\", \"oily\", \"satin\", \"onyx\", \"nylon\", \"fleece\", \"sable\", \"jetblack\", \"coal\",\n \"mocha\", \"obsidian\", \"jade\", \"cyan\", \"leather\", \"maroon\", \"carmine\", \"aqua\",\n \"chambray\", \"holographic\", \"laurel\", \"licorice\", \"khaki\", \"goldenrod\", \"malachite\",\n \"mandarin\", \"mango\", \"taupe\", \"aquamarine\", \"turquoise\", \"vermilion\", \"saffron\",\n \"cinnabar\", \"myrtle\", \"neon\", \"burgundy\", \"tangelo\", \"topaz\", \"wintergreen\",\n \"viridian\", \"vanilla\", \"paisley\", \"raspberry\", \"tweed\", \"pastel\", \"opal\",\n \"menthol\", \"champagne\", \"gunmetal\", \"infrared\", \"ultraviolet\", \"rainbow\",\n \"mercurial\", \"clear\", \"misty\", \"steel\", \"zinc\", \"citron\", \"cornflower\", \"lava\",\n \"quartz\", \"honeysuckle\", \"chili\",\n];\n\nconst ANIMALS = [\n \"alligator\", \"bee\", \"bird\", \"camel\", \"cat\", \"cheetah\", \"chicken\", \"cow\", \"dog\",\n \"corgi\", \"eagle\", \"elephant\", \"fish\", \"fox\", \"toad\", \"giraffe\", \"hippo\",\n \"kangaroo\", \"kitten\", \"lobster\", \"monkey\", \"octopus\", \"pig\", \"puppy\", \"rabbit\",\n \"rat\", \"scorpion\", \"seal\", \"sheep\", \"snail\", \"spider\", \"tiger\", \"turtle\", \"newt\",\n \"tadpole\", \"frog\", \"tarantula\", \"albatross\", \"blackbird\", \"canary\", \"crow\",\n \"cuckoo\", \"dove\", \"pigeon\", \"falcon\", \"finch\", \"flamingo\", \"goose\", \"seagull\",\n \"hawk\", \"jay\", \"mockingbird\", \"kestrel\", \"kookaburra\", \"mallard\", \"nightingale\",\n \"nuthatch\", \"ostrich\", \"owl\", \"parakeet\", \"parrot\", \"peacock\", \"pelican\",\n \"penguin\", \"pheasant\", \"piranha\", \"raven\", \"robin\", \"rooster\", \"sparrow\",\n \"stork\", \"swallow\", \"swan\", \"swift\", \"turkey\", \"vulture\", \"woodpecker\", \"wren\",\n \"butterfly\", \"barbel\", \"carp\", \"cod\", \"crab\", \"eel\", \"goldfish\", \"haddock\",\n \"halibut\", \"jellyfish\", \"perch\", \"pike\", \"mantaray\", \"salmon\", \"sawfish\",\n \"scallop\", \"shark\", \"shell\", \"shrimp\", \"trout\", \"ant\", \"aphid\", \"beetle\",\n \"caterpillar\", \"dragonfly\", \"cricket\", \"fly\", \"grasshopper\", \"ladybug\",\n \"millipede\", \"moth\", \"wasp\", \"anteater\", \"antelope\", \"armadillo\", \"badger\",\n \"bat\", \"beaver\", \"bull\", \"chimpanzee\", \"dachshund\", \"deer\", \"dolphin\", \"elk\",\n \"moose\", \"gazelle\", \"gerbil\", \"goat\", \"bear\", \"hamster\", \"hare\", \"hedgehog\",\n \"horse\", \"hyena\", \"lion\", \"llama\", \"lynx\", \"mammoth\", \"marmot\", \"mink\", \"mole\",\n \"mongoose\", \"mouse\", \"mule\", \"otter\", \"panda\", \"platypus\", \"pony\", \"porcupine\",\n \"puma\", \"raccoon\", \"reindeer\", \"rhino\", \"skunk\", \"sloth\", \"squirrel\", \"weasel\",\n \"snake\", \"wolf\", \"zebra\", \"boa\", \"chameleon\", \"copperhead\", \"cottonmouth\",\n \"crocodile\", \"rattlesnake\", \"gecko\", \"iguana\", \"lizard\", \"python\", \"salamander\",\n \"sidewinder\", \"whale\", \"tortoise\", \"lemur\", \"rook\", \"koala\", \"donkey\", \"ferret\",\n \"tardigrade\", \"orca\", \"okapi\", \"liger\", \"unicorn\", \"dragon\", \"squid\", \"ape\",\n \"gorilla\", \"baboon\", \"cormorant\", \"mantis\", \"tapir\", \"capybara\", \"pangolin\",\n \"opossum\", \"wombat\", \"aardvark\", \"starfish\", \"shetland\", \"narwhal\", \"worm\",\n \"hornet\", \"viper\", \"stallion\", \"jaguar\", \"panther\", \"bobcat\", \"leopard\",\n \"osprey\", \"cougar\", \"dalmatian\", \"terrier\", \"duck\", \"sealion\", \"chipmunk\",\n \"loris\", \"poodle\", \"orangutan\", \"gibbon\", \"meerkat\", \"huskie\", \"barracuda\",\n \"bison\", \"caribou\", \"chinchilla\", \"coyote\", \"crane\", \"dinosaur\", \"lark\",\n \"griffin\", \"yeti\", \"troll\", \"seahorse\", \"walrus\", \"yak\", \"wolverine\", \"boar\",\n \"alpaca\", \"porpoise\", \"manatee\", \"guppy\", \"condor\", \"cyborg\", \"cobra\", \"locust\",\n \"mandrill\", \"oyster\", \"urchin\", \"quail\", \"sardine\", \"ram\", \"starling\", \"wallaby\",\n \"buffalo\", \"goblin\", \"tuna\", \"mustang\",\n];\n\n// Compress bytes to target length using XOR (exact algorithm from library)\nfunction compress(bytes: number[], target: number): number[] {\n const length = bytes.length;\n const segSize = Math.floor(length / target);\n const segments: number[][] = [];\n\n for (let i = 0; i < segSize * target; i += segSize) {\n segments.push(bytes.slice(i, i + segSize));\n }\n\n // Add remaining bytes to last segment\n const lastSeg = segments[segments.length - 1];\n segments[segments.length - 1] = lastSeg.concat(bytes.slice(target * segSize));\n\n // XOR each segment to get checksums\n return segments.map(seg => seg.reduce((acc, curr) => acc ^ curr, 0));\n}\n\n// Convert hex string to byte array\nfunction hexToBytes(hex: string): number[] {\n const bytes: number[] = [];\n for (let i = 0; i < hex.length; i += 2) {\n bytes.push(parseInt(hex.substring(i, i + 2), 16));\n }\n return bytes;\n}\n\n// Generate animal name from input string (exact angry-purple-tiger algorithm)\nexport function animalHash(input: string): string {\n const hexDigest = md5(input);\n const bytes = hexToBytes(hexDigest);\n const compressed = compress(bytes, 3);\n\n const adjective = ADJECTIVES[compressed[0] % ADJECTIVES.length];\n const color = COLORS[compressed[1] % COLORS.length];\n const animal = ANIMALS[compressed[2] % ANIMALS.length];\n\n return `${adjective}-${color}-${animal}`;\n}\n",[],[218,241,248],[218,241],{"_104":257,"_97":258,"_163":259,"_165":219,"_166":148,"_167":260,"_169":119,"_106":261,"_101":33,"_171":262,"_173":263,"_174":22,"_175":-5,"_176":264,"_100":265},"76f8aa1a-faf2-11f0-9eac-42dde27851f2","favicon.svg","76f8aace-faf2-11f0-9eac-42dde27851f2",10,["D",1769457973348],"file","\n",[],[218,258],{"_104":267,"_97":268,"_163":269,"_165":219,"_166":148,"_167":270,"_169":119,"_106":271,"_101":33,"_171":262,"_173":272,"_174":22,"_175":-5,"_176":273,"_100":274},"76e86768-faf2-11f0-9eac-42dde27851f2","index.html","76e86812-faf2-11f0-9eac-42dde27851f2",7,["D",1769457973218],"\n\n \n \n \n NOLA Helium Mobile Hotspot Growth\n \n \n \n \n \n \n \n

\n \n \n \n \n\n",[],[218,268],{"_104":276,"_97":277,"_163":278,"_165":219,"_166":148,"_167":279,"_169":119,"_106":280,"_101":33,"_171":184,"_173":281,"_174":22,"_175":-5,"_176":282,"_100":283},"76e407d6-faf2-11f0-a3f8-42dde27851f2","index.tsx","76e408a8-faf2-11f0-a3f8-42dde27851f2",6,["D",1769457973210],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { App } from \"./components/App.tsx\";\n\nconst root = document.getElementById(\"root\");\nif (!root) {\n throw new Error(\"No root element found\");\n}\n\ncreateRoot(root).render();",[],[218,277],{"_104":285,"_97":286,"_163":287,"_165":219,"_166":148,"_167":288,"_169":119,"_106":289,"_101":33,"_171":262,"_173":290,"_174":22,"_175":-5,"_176":291,"_100":292},"76eef650-faf2-11f0-9f5c-42dde27851f2","style.css","76eef70e-faf2-11f0-9f5c-42dde27851f2",9,["D",1769457973281],"/* DC Hotspot Growth Map - Helium-inspired dark theme */\n\n:root {\n --bg-primary: #04081b;\n --bg-secondary: rgba(255, 255, 255, 0.05);\n --bg-card: rgba(255, 255, 255, 0.08);\n --text-primary: #f7f7f7;\n --text-secondary: #7d7d7d;\n --accent-cyan: #4FC3F7;\n --accent-green: #00d97d;\n --accent-purple: #5e25fd;\n --border-color: rgba(255, 255, 255, 0.1);\n}\n\n* {\n box-sizing: border-box;\n margin: 0;\n padding: 0;\n}\n\nhtml, body, #root {\n height: 100%;\n width: 100%;\n overflow: hidden;\n}\n\nbody {\n font-family: 'Figtree', -apple-system, BlinkMacSystemFont, sans-serif;\n background: var(--bg-primary);\n color: var(--text-primary);\n}\n\n.app {\n display: flex;\n flex-direction: column;\n height: 100vh;\n height: 100dvh;\n width: 100vw;\n position: relative;\n}\n\n/* Stats Panel */\n.stats-panel {\n position: absolute;\n top: 16px;\n left: 16px;\n z-index: 1000;\n background: var(--bg-card);\n backdrop-filter: blur(15px);\n border: 1px solid var(--border-color);\n border-radius: 12px;\n padding: 16px;\n}\n\n.stats-panel h1 {\n font-size: 16px;\n font-weight: 500;\n margin-bottom: 2px;\n color: var(--accent-cyan);\n}\n\n.stats-panel .tagline {\n font-size: 11px;\n color: var(--text-secondary);\n margin-bottom: 12px;\n}\n\n.stat-card {\n display: flex;\n align-items: baseline;\n gap: 8px;\n flex-wrap: wrap;\n}\n\n.stat-label {\n font-size: 10px;\n text-transform: uppercase;\n letter-spacing: 0.05em;\n color: var(--text-secondary);\n font-weight: 400;\n}\n\n.stat-value {\n font-size: 28px;\n font-weight: 500;\n line-height: 1;\n color: var(--text-primary);\n}\n\n.stat-delta {\n font-size: 12px;\n font-weight: 400;\n color: var(--accent-green);\n transition: opacity 0.2s;\n}\n\n.stat-delta.hidden {\n display: none;\n}\n\n.stat-delta.negative {\n color: #e74c3c;\n}\n\n.current-date {\n font-size: 11px;\n color: var(--text-secondary);\n margin-top: 10px;\n padding-top: 10px;\n border-top: 1px solid var(--border-color);\n}\n\n.current-date strong {\n color: var(--text-primary);\n font-weight: 500;\n}\n\n/* Timeline Histogram - Interactive Scrubber */\n.timeline-histogram {\n display: flex;\n align-items: flex-end;\n gap: 0;\n height: 50px;\n margin-bottom: 8px;\n padding: 8px 12px;\n width: 100%;\n box-sizing: border-box;\n overflow: hidden;\n cursor: ew-resize;\n user-select: none;\n -webkit-user-select: none;\n touch-action: none;\n position: relative;\n background: rgba(0, 0, 0, 0.2);\n border-radius: 6px;\n}\n\n.histogram-bar {\n flex: 1 1 0;\n min-width: 0;\n background: var(--accent-purple);\n border-radius: 1px 1px 0 0;\n pointer-events: none;\n transition: opacity 0.1s;\n opacity: 0.5;\n}\n\n.timeline-histogram:hover .histogram-bar {\n opacity: 0.7;\n}\n\n.histogram-bar.capped {\n background: linear-gradient(to top, var(--accent-purple), var(--accent-green));\n}\n\n/* Playhead indicator */\n.histogram-playhead {\n position: absolute;\n top: 4px;\n bottom: 4px;\n width: 2px;\n background: var(--accent-cyan);\n pointer-events: none;\n box-shadow: 0 0 8px rgba(79, 195, 247, 0.6);\n transition: left 0.05s ease-out;\n transform: translateX(-50%);\n}\n\n.histogram-playhead::before {\n content: '';\n position: absolute;\n top: -3px;\n left: 50%;\n transform: translateX(-50%);\n width: 6px;\n height: 6px;\n background: var(--accent-cyan);\n border-radius: 50%;\n box-shadow: 0 0 6px rgba(79, 195, 247, 0.8);\n}\n\n/* Map Container */\n.map-container {\n flex: 1;\n position: relative;\n width: 100%;\n height: 100%;\n}\n\n/* Timeline - Floating Glass Pane */\n.timeline {\n position: absolute;\n bottom: 20px;\n left: 20px;\n right: 20px;\n bottom: calc(20px + env(safe-area-inset-bottom, 0px));\n z-index: 1000;\n background: var(--bg-card);\n backdrop-filter: blur(15px);\n border: 1px solid var(--border-color);\n border-radius: 12px;\n padding: 14px 16px;\n box-sizing: border-box;\n overflow: visible;\n}\n\n.timeline-inner {\n display: flex;\n align-items: center;\n gap: 16px;\n width: 100%;\n max-width: 100%;\n box-sizing: border-box;\n}\n\n.play-button {\n width: 48px;\n height: 48px;\n border-radius: 50%;\n background: var(--text-primary);\n border: none;\n cursor: pointer;\n display: flex;\n align-items: center;\n justify-content: center;\n font-size: 18px;\n color: var(--bg-primary);\n transition: transform 0.2s, background 0.2s;\n flex-shrink: 0;\n padding-left: 3px; /* Optical alignment for play triangle */\n}\n\n.play-button.playing {\n padding-left: 0; /* Reset for pause icon */\n}\n\n.play-button:hover {\n transform: scale(1.05);\n background: #e0e0e0;\n}\n\n.timeline-slider-container {\n flex: 1;\n min-width: 0;\n display: flex;\n flex-direction: column;\n gap: 6px;\n overflow: hidden;\n}\n\n.timeline-labels {\n display: flex;\n justify-content: space-between;\n font-size: 12px;\n color: var(--text-secondary);\n}\n\n/* Loading State */\n.loading {\n display: flex;\n flex-direction: column;\n align-items: center;\n justify-content: center;\n height: 100vh;\n gap: 16px;\n}\n\n.loading-spinner {\n width: 48px;\n height: 48px;\n border: 3px solid var(--border-color);\n border-top-color: var(--accent-cyan);\n border-radius: 50%;\n animation: spin 1s linear infinite;\n}\n\n@keyframes spin {\n to { transform: rotate(360deg); }\n}\n\n.loading-text {\n font-size: 16px;\n color: var(--text-secondary);\n}\n\n/* Empty State */\n.empty-state {\n display: flex;\n flex-direction: column;\n align-items: center;\n justify-content: center;\n height: 100vh;\n text-align: center;\n padding: 20px;\n}\n\n.empty-state h2 {\n font-size: 24px;\n margin-bottom: 16px;\n}\n\n.empty-state p {\n color: var(--text-secondary);\n margin-bottom: 24px;\n max-width: 400px;\n}\n\n.backfill-button {\n background: var(--accent-purple);\n color: white;\n border: none;\n padding: 12px 24px;\n border-radius: 8px;\n font-size: 14px;\n font-weight: 400;\n cursor: pointer;\n transition: background 0.2s;\n}\n\n.backfill-button:hover {\n background: #7b3ff2;\n}\n\n.backfill-button:disabled {\n background: var(--text-secondary);\n cursor: not-allowed;\n}\n\n/* Popup Container */\n.cluster-popup-container {\n pointer-events: auto;\n}\n\n/* Integrated Legend in Stats Panel */\n.legend-section {\n margin-top: 12px;\n padding-top: 12px;\n border-top: 1px solid var(--border-color);\n}\n\n.legend-items {\n display: flex;\n gap: 12px;\n}\n\n.legend-item {\n display: flex;\n align-items: center;\n gap: 5px;\n font-size: 11px;\n color: var(--text-secondary);\n}\n\n.legend-dot {\n width: 8px;\n height: 8px;\n border-radius: 50%;\n flex-shrink: 0;\n}\n\n.legend-dot.new {\n background: #2ecc71;\n}\n\n.legend-dot.recent {\n background: #3498db;\n}\n\n.legend-dot.established {\n background: #a0a0a0;\n}\n\n/* Cluster Popup Styling */\n.cluster-popup {\n font-size: 13px;\n line-height: 1.5;\n max-width: 280px;\n background: rgba(4, 8, 27, 0.95);\n backdrop-filter: blur(15px);\n border: 1px solid var(--border-color);\n border-radius: 8px;\n padding: 12px;\n color: var(--text-primary);\n font-family: 'Figtree', sans-serif;\n}\n\n.cluster-popup .cluster-count {\n font-size: 14px;\n font-weight: 500;\n color: var(--accent-cyan);\n margin-bottom: 10px;\n padding-bottom: 8px;\n border-bottom: 1px solid var(--border-color);\n}\n\n.cluster-popup .hotspot-list {\n list-style: none;\n padding: 0;\n margin: 0;\n max-height: 200px;\n overflow-y: auto;\n}\n\n.cluster-popup .hotspot-list li {\n padding: 4px 0;\n border-bottom: 1px solid rgba(255, 255, 255, 0.05);\n}\n\n.cluster-popup .hotspot-list li:last-child {\n border-bottom: none;\n}\n\n.cluster-popup .hotspot-list a {\n color: var(--accent-cyan);\n text-decoration: none;\n font-weight: 500;\n}\n\n.cluster-popup .hotspot-list a:hover {\n text-decoration: underline;\n}\n\n.cluster-popup .popup-more {\n margin-top: 8px;\n padding-top: 8px;\n border-top: 1px solid var(--border-color);\n color: var(--text-secondary);\n font-size: 12px;\n font-style: italic;\n}\n\n.cluster-popup .created-date {\n color: var(--text-secondary);\n font-size: 12px;\n}\n\n/* Responsive */\n@media (max-width: 768px) {\n .stats-panel {\n top: 10px;\n left: 10px;\n right: auto;\n min-width: auto;\n padding: 12px;\n }\n\n .stat-value {\n font-size: 24px;\n }\n\n .legend-items {\n gap: 8px;\n }\n\n .legend-item {\n font-size: 10px;\n }\n\n .timeline {\n left: 10px;\n right: 10px;\n bottom: calc(10px + env(safe-area-inset-bottom, 0px));\n padding: 12px;\n }\n\n .timeline-inner {\n gap: 10px;\n }\n\n .timeline-histogram {\n height: 40px;\n padding: 6px 10px;\n }\n\n .play-button {\n width: 36px;\n height: 36px;\n font-size: 14px;\n padding-left: 2px;\n }\n\n .play-button.playing {\n padding-left: 0;\n }\n\n .timeline-slider-container {\n gap: 4px;\n }\n\n .timeline-labels {\n font-size: 10px;\n }\n}\n",[],[218,286],[218],{"_104":295,"_97":296,"_163":297,"_165":-5,"_166":148,"_167":298,"_169":119,"_106":299,"_101":33,"_171":172,"_173":-5,"_174":22,"_175":-5,"_176":300,"_100":310},"76a6b80e-faf2-11f0-b130-42dde27851f2","shared","76a6b8b8-faf2-11f0-b130-42dde27851f2",3,["D",1769457972810],[301],{"_104":302,"_97":303,"_163":304,"_165":297,"_166":148,"_167":305,"_169":119,"_106":306,"_101":33,"_171":184,"_173":307,"_174":22,"_175":-5,"_176":308,"_100":309},"7721429a-faf2-11f0-80fc-42dde27851f2","types.ts","77214394-faf2-11f0-80fc-42dde27851f2",15,["D",1769457973568],"// Shared TypeScript interfaces for NOLA Hotspot Growth Map\n\nexport interface Hotspot {\n entity_key_str: string;\n key_to_asset_key: string;\n lat: number;\n long: number;\n created_at: string; // ISO date string\n first_seen_at: string;\n is_active: boolean;\n}\n\nexport interface DailySnapshot {\n snapshot_date: string; // YYYY-MM-DD\n total_count: number;\n new_count: number;\n}\n\nexport interface HeliumHotspotListItem {\n key_to_asset_key: string;\n entity_key_str: string;\n is_active: boolean;\n lat: number | null;\n long: number | null;\n}\n\nexport interface HeliumApiResponse {\n cursor: string | null;\n items: HeliumHotspotListItem[];\n}\n\n// New Orleans Metro bounding box (~40 mile radius from center)\n// Covers: Slidell, Kenner, Metairie, Chalmette, Marrero, Westwego\nexport const NOLA_BOUNDS = {\n minLat: 29.6,\n maxLat: 30.4,\n minLong: -90.5,\n maxLong: -89.6,\n};\n\nexport const NOLA_CENTER = {\n lat: 29.9511,\n long: -90.0715,\n};\n\nexport const HELIUM_API_BASE = \"https://entities.nft.helium.io/v2\";\n",[],[296,303],[296],{"_104":312,"_97":313,"_163":314,"_165":-5,"_166":148,"_167":315,"_169":119,"_106":316,"_101":33,"_171":262,"_173":317,"_174":22,"_175":-5,"_176":318,"_100":319},"77412d44-faf2-11f0-a200-42dde27851f2","CLAUDE.md","77412dee-faf2-11f0-a200-42dde27851f2",19,["D",1769457973803],"# DC Hotspot Growth Map\n\n## Project Overview\nA Val Town app that visualizes Helium Mobile hotspot growth in the DC Metro area over time, featuring an interactive deck.gl map with H3-based clustering (rendered as scaled circles) and timeline scrubbing.\n\n## Deployment\n- **Live URL**: https://dc-hotspot-growth.val.run/\n\n## Tech Stack\n- **Platform**: Val Town (Deno runtime)\n- **Backend**: Hono HTTP framework\n- **Database**: Val Town SQLite (Turso) - `import sqlite from \"https://esm.town/v/std/sqlite@14-main/main.ts\"`\n- **Frontend**: React + deck.gl (WebGL)\n- **Clustering**: Uber H3 (resolution 8) for grouping\n- **Map Tiles**: CartoDB dark-matter (via TileLayer)\n- **Styling**: Helium-inspired dark theme\n\n## Key Files\n- `index.ts` - Main Hono server with API routes\n- `backend/db.ts` - SQLite schema and queries\n- `backend/heliumApi.ts` - Helium Entity API client\n- `backend/scraper.ts` - Backfill and daily scrape logic\n- `backend/migrate.ts` - Migration script between SQLite versions\n- `cron.ts` - Daily scraper cron job (6 AM UTC)\n- `frontend/components/App.tsx` - Main React component with map, timeline, and clustering\n- `frontend/utils/animalHash.ts` - Animal name generator (angry-purple-tiger algorithm)\n- `frontend/style.css` - Helium-inspired dark theme styles\n\n## Val Town CLI\n- Push changes: `~/.deno/bin/vt push`\n- Open in browser: `~/.deno/bin/vt browse`\n- Configure cron schedule in Val Town web interface\n\n## Design Decisions\n\n### deck.gl Visualization\n- Load via CDN: ``\n- Access as global `deck` object (esm.sh imports have luma.gl compatibility issues)\n- Using ScatterplotLayer with `radiusUnits: \"pixels\"`, `stroked: false`\n- Circles scaled by count using **sqrt easing curve**: `radius = 8 + 27 * (sqrt(count-1) / sqrt(69))`\n- Min radius: 8px (count=1), Max radius: 35px (count=70)\n- Easing makes 1→2 dramatic but 67→70 nearly imperceptible\n- Transitions enabled only when NOT playing: `transitions: { getRadius: { duration: 150 }, getFillColor: { duration: 150 } }`\n- TextLayer for count labels: `fontFamily: \"Figtree, sans-serif\"`, `fontWeight: 300`\n- TileLayer for CartoDB dark basemap: `https://basemaps.cartocdn.com/dark_all/{z}/{x}/{y}@2x.png`\n\n### deck.gl Playback Bug Fix (Critical)\n- **Problem**: During timeline playback, circles would disappear while text labels remained visible\n- **Root cause**: deck.gl's transition interpolation system conflicts with rapid data updates - when clusters appear/disappear, the interpolation can produce invalid intermediate states (e.g., radius interpolating toward 0)\n- **Solution**: Use **dynamic layer IDs** during playback to force complete layer recreation:\n ```typescript\n id: isPlaying ? `hotspot-clusters-${selectedIdx}` : \"hotspot-clusters\"\n ```\n- This bypasses deck.gl's transition system entirely during playback by making each frame a \"new\" layer\n- Also set `transitions: undefined` during playback (not `{ duration: 0 }` - that still triggers interpolation)\n- Disable picking during playback for performance: `pickable: !isPlaying`\n- When playback stops, layers revert to static IDs and smooth transitions are re-enabled\n\n### Animal Names (animalHash.ts)\n- Uses exact angry-purple-tiger algorithm with blueimp-md5\n- Critical: ADJECTIVES array must include duplicate \"skinny\" at index 85 (after \"shallow\")\n- Display names in Title Case (e.g., \"Angry Purple Tiger\"), not kebab-case\n\n### Timeline/Histogram\n- **Interactive scrubber**: Click or drag anywhere on histogram (no separate slider)\n- Histogram bars: `flex: 1 1 0`, `min-width: 0` (allows fractional pixel widths)\n- Critical: `min-width: 0` prevents overflow on narrow viewports with many bars\n- Histogram height: 50px desktop, 40px mobile\n- Histogram capped at 10 new hotspots to prevent outliers from flattening\n- When at end of timeline and user presses play, reset to beginning\n- **Playhead positioning**: Center on each bar using `calc(12px + (100% - 24px) * ${(currentIdx + 0.5) / snapshots.length})`\n- Playhead has `transform: translateX(-50%)` to center the 2px line on calculated position\n- Touch support: `onTouchStart`, `onTouchMove`, `onTouchEnd` handlers mirror mouse events\n\n### Playback Performance Optimizations\n- **requestAnimationFrame** instead of setInterval for smoother animation\n- **Index-based state** (`selectedIdx`) instead of date string to avoid linear searches\n- **Pre-computed clusters**: `clustersByDate` Map computed once on data load for O(1) lookup\n- **33ms frame interval** (~30fps) balances smoothness with performance\n- **Dynamic layer IDs during playback**: Forces complete layer recreation to avoid transition bugs\n- **Disabled transitions during playback**: Set `transitions: undefined` (not duration: 0)\n- **Disabled picking during playback**: `pickable: !isPlaying` for minor performance gain\n- Transitions and static layer IDs re-enabled when playback stops for smooth manual scrubbing\n\n### iOS Safari Viewport Fix\n- Use `height: 100dvh` (dynamic viewport height) instead of `100vh`\n- Add `viewport-fit=cover` to viewport meta tag\n- Use `env(safe-area-inset-bottom)` for timeline padding\n\n### Visual Design (Helium-inspired)\n- Dark theme with `--bg-primary: #04081b`\n- Accent colors: cyan (#4FC3F7), green (#00d97d), purple (#5e25fd)\n- Avoid bold fonts - use font-weight 400-500\n- Circle fill opacity: 0.5 for established (grey), 0.7 for new/recent\n- **Glass pane effect**: `background: var(--bg-card)`, `backdrop-filter: blur(15px)`, `border: 1px solid var(--border-color)`, `border-radius: 12px`\n- Two floating panels only: stats panel (top-left with integrated legend) and timeline (bottom)\n- Play button: white background, optical alignment with `padding-left: 3px` for triangle (reset to 0 for pause icon)\n\n### Color Coding (Hotspot Age)\n- Green (#2ecc71): New (< 7 days)\n- Blue (#3498db): Recent (< 30 days)\n- Grey (#a0a0a0): Established (30+ days)\n\n### Mobile Responsive (max-width: 768px)\n- Timeline: 10px margins, 12px padding\n- Histogram height: 40px with 6px 10px padding\n- Play button: 36x36px\n- Legend integrated into stats panel (always visible)\n\n## API Endpoints\n- `GET /api/hotspots` - All active hotspots\n- `GET /api/snapshots` - Daily snapshot stats\n- `GET /api/stats` - Current count and latest snapshot\n\n## Cron Job\n- `cron.ts` runs daily at 6 AM UTC via Val Town's cron scheduler\n- Fetches new hotspots from Helium Entity API\n- Updates daily_snapshots table with new counts\n\n## Database Schema\n- **hotspots** - Main hotspot records (entity_key_str, lat/long, created_at, first_seen_at, is_active)\n- **daily_snapshots** - Pre-computed daily stats (snapshot_date, total_count, new_count)\n- **hotspot_locations** - Location change history (tracks when hotspots move >11 meters between daily scrapes)\n\n### SQLite Migration Notes\n- Different versioned imports (`@14-main` vs unversioned) use **isolated database instances**\n- Always use consistent import path across all files\n- Migration script (`backend/migrate.ts`) copies data between database instances\n- Test thoroughly after any import path changes\n\n## DC Metro Bounding Box\n```typescript\nconst DC_BOUNDS = {\n minLat: 38.5, maxLat: 39.3,\n minLong: -77.5, maxLong: -76.7\n};\n```\n",[],[313],{"_104":321,"_97":322,"_163":323,"_165":-5,"_166":148,"_167":324,"_169":119,"_106":325,"_101":33,"_171":262,"_173":326,"_174":22,"_175":-5,"_176":327,"_100":328},"77308e1c-faf2-11f0-a6db-42dde27851f2","README.md","77308f02-faf2-11f0-a6db-42dde27851f2",16,["D",1769457973631],"# DC Helium Mobile Hotspot Growth Map\n\nAn interactive visualization of Helium Mobile hotspot growth in the DC Metro area over time. Watch the network expand from its first hotspot to over 1,000 deployments.\n\n**Live demo**: https://dc-hotspot-growth.val.run/\n\n## Features\n\n- **Interactive Timeline**: Scrub through the entire history of DC-area hotspot deployments\n- **Animated Playback**: Watch hotspots appear over time with play/pause controls\n- **H3 Clustering**: Hotspots grouped by Uber H3 hexagons (resolution 8) for clean visualization at any zoom level\n- **Age-based Coloring**:\n - Green: New hotspots (< 7 days old)\n - Blue: Recent hotspots (< 30 days old)\n - Grey: Established hotspots (30+ days old)\n- **Hotspot Details**: Click any cluster to see individual hotspot names (animal hash format) with links to Helium World\n\n## Tech Stack\n\n- **Platform**: [Val Town](https://val.town) (Deno runtime)\n- **Backend**: [Hono](https://hono.dev) HTTP framework\n- **Database**: Val Town SQLite (Turso)\n- **Frontend**: React 18 + [deck.gl](https://deck.gl) (WebGL)\n- **Clustering**: [Uber H3](https://h3geo.org) hexagonal hierarchical geospatial indexing\n- **Map Tiles**: CartoDB dark-matter basemap\n\n## How It Works\n\n### Data Pipeline\n\n1. **Backfill**: Initial data populated from the Helium Entity API, filtering for mobile hotspots within the DC Metro bounding box\n2. **Daily Cron**: Runs at 6 AM UTC to capture new hotspots and track location changes\n3. **Pre-computed Snapshots**: Daily statistics stored for instant timeline scrubbing\n\n### Visualization\n\nThe map uses deck.gl's ScatterplotLayer for WebGL-accelerated rendering of thousands of hotspots at 60fps. Circles are scaled using a square root easing curve so that cluster growth is visually apparent without large clusters dominating the view.\n\n## Project Structure\n\n```\ndc-hotspot-map/\n├── index.ts # Hono server & API routes\n├── cron.ts # Daily scraper job\n├── backend/\n│ ├── db.ts # SQLite schema & queries\n│ ├── heliumApi.ts # Helium Entity API client\n│ ├── scraper.ts # Backfill & daily scrape logic\n│ └── migrate.ts # Database migration utilities\n├── frontend/\n│ ├── index.html # Entry point\n│ ├── components/\n│ │ └── App.tsx # Main React component\n│ ├── utils/\n│ │ └── animalHash.ts # Hotspot name generator\n│ └── style.css # Helium-inspired dark theme\n└── shared/\n └── types.ts # TypeScript interfaces\n```\n\n## API Endpoints\n\n| Endpoint | Description |\n|----------|-------------|\n| `GET /api/hotspots` | All active hotspots with coordinates and dates |\n| `GET /api/snapshots` | Daily snapshot statistics for timeline |\n| `GET /api/stats` | Current total count and latest snapshot |\n\n## Development\n\nThis project uses the [Val Town CLI](https://docs.val.town/cli/):\n\n```bash\n# Push changes to Val Town\nvt push\n\n# Open in browser\nvt browse\n```\n\n## Coverage Area\n\nThe map covers the DC Metro area with approximately a 50-mile radius:\n\n- **Latitude**: 38.5° to 39.3° N\n- **Longitude**: 77.5° to 76.7° W\n- **Cities**: Washington DC, Arlington, Alexandria, Bethesda, Silver Spring, College Park, and surrounding areas\n\n## Credits\n\n- Data source: [Helium Foundation Entity API](https://docs.helium.com)\n- Hotspot naming: [angry-purple-tiger](https://github.com/helium/angry-purple-tiger) algorithm\n- Design inspiration: [Helium World](https://world.helium.com)\n\n## License\n\nMIT\n",[],[322],{"_104":330,"_97":331,"_163":332,"_165":-5,"_166":148,"_167":333,"_169":119,"_106":334,"_101":33,"_171":335,"_173":336,"_174":22,"_175":-5,"_176":337,"_100":338},"773cccae-faf2-11f0-9eac-42dde27851f2","cron.ts","773ccd58-faf2-11f0-9eac-42dde27851f2",18,["D",1769457973637],"interval","// Daily scraper cron job for NOLA Hotspot Growth Map\n// Runs at 6 AM UTC daily to fetch new hotspots\nimport { runDailyScrape } from \"./backend/scraper.ts\";\n\nexport default async function(): Promise<{ newHotspots: number; updated: number; removed: number }> {\n console.log(\"Starting scheduled daily scrape...\");\n const result = await runDailyScrape();\n console.log(\"Daily scrape completed:\", result);\n return result;\n}\n",[],[331],{"_104":340,"_97":341,"_163":117,"_165":-5,"_166":148,"_167":342,"_169":119,"_106":343,"_101":33,"_171":344,"_173":345,"_174":22,"_175":-5,"_176":346,"_100":347},"77390024-faf2-11f0-9349-42dde27851f2","index.http.ts",17,["D",1769457973749],"http","// NOLA Hotspot Growth Map - Main HTTP Server\nimport { serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { Hono } from \"npm:hono\";\nimport * as db from \"./backend/db.ts\";\nimport { runBackfill } from \"./backend/scraper.ts\";\n\nconst app = new Hono();\n\n// Initialize database on startup\ndb.initDatabase().catch(console.error);\n\n// Serve index.html at the root\napp.get(\"/\", () => serveFile(\"/frontend/index.html\"));\n\n// Serve all frontend files\napp.get(\"/frontend/**/*\", (c) => serveFile(c.req.path));\n\n// API: Get all hotspots\napp.get(\"/api/hotspots\", async (c) => {\n const hotspots = await db.getAllHotspots();\n return c.json(hotspots);\n});\n\n// API: Get all daily snapshots\napp.get(\"/api/snapshots\", async (c) => {\n const snapshots = await db.getAllSnapshots();\n return c.json(snapshots);\n});\n\n// API: Get hotspot count and latest snapshot\napp.get(\"/api/stats\", async (c) => {\n const count = await db.getHotspotCount();\n const snapshots = await db.getAllSnapshots();\n const latest = snapshots.length > 0 ? snapshots[snapshots.length - 1] : null;\n return c.json({\n total: count,\n latest_snapshot: latest,\n });\n});\n\n// API: Admin backfill endpoint\napp.post(\"/api/admin/backfill\", async (c) => {\n console.log(\"Starting backfill from API...\");\n const result = await runBackfill();\n return c.json(result);\n});\n\n// Global error handler - log and return JSON error response\napp.onError((err, c) => {\n console.error(\"API error:\", err);\n return c.json({ error: err.message || \"Internal server error\" }, 500);\n});\n\n// HTTP vals expect an exported \"fetch handler\"\nexport default app.fetch;\n",[],[341],"files",[160,178,188,197,206,216,223,230,239,246,256,266,275,284,294,301,311,320,329,339],"counts",{"_352":33,"_353":220,"_354":33,"_355":356,"_359":360},"pulls","branches","forks","envVars",{"_357":33,"_358":33},"count","emptyCount","connections",{"_357":33,"_361":33},"unfilledCount","contents",[364,367,370,373,376,379,382],{"_104":161,"_97":162,"_163":164,"_165":-5,"_166":148,"_167":168,"_169":119,"_106":365,"_101":33,"_171":172,"_173":-5,"_174":22,"_175":-5,"_100":366},["D",1769457972684],[162],{"_104":217,"_97":218,"_163":219,"_165":-5,"_166":148,"_167":220,"_169":119,"_106":368,"_101":33,"_171":172,"_173":-5,"_174":22,"_175":-5,"_100":369},["D",1769457972492],[218],{"_104":295,"_97":296,"_163":297,"_165":-5,"_166":148,"_167":298,"_169":119,"_106":371,"_101":33,"_171":172,"_173":-5,"_174":22,"_175":-5,"_100":372},["D",1769457972810],[296],{"_104":312,"_97":313,"_163":314,"_165":-5,"_166":148,"_167":315,"_169":119,"_106":374,"_101":33,"_171":262,"_173":317,"_174":22,"_175":-5,"_100":375},["D",1769457973803],[313],{"_104":321,"_97":322,"_163":323,"_165":-5,"_166":148,"_167":324,"_169":119,"_106":377,"_101":33,"_171":262,"_173":326,"_174":22,"_175":-5,"_100":378},["D",1769457973631],[322],{"_104":330,"_97":331,"_163":332,"_165":-5,"_166":148,"_167":333,"_169":119,"_106":380,"_101":33,"_171":335,"_173":336,"_174":22,"_175":-5,"_100":381},["D",1769457973637],[331],{"_104":340,"_97":341,"_163":117,"_165":-5,"_166":148,"_167":342,"_169":119,"_106":383,"_101":33,"_171":344,"_173":345,"_174":22,"_175":-5,"_100":384},["D",1769457973749],[341],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.environment-variables",{"_95":96,"_97":98,"_102":393,"_355":398,"_399":22},{"_104":105,"_97":98,"_106":394,"_108":-5,"_109":22,"_110":111,"_112":113,"_114":-5,"_14":115,"_116":117,"_118":119,"_120":-5,"_121":-5,"_122":33,"_16":123,"_124":125,"_126":127,"_128":129,"_130":129,"_131":132,"_133":132,"_134":132,"_135":129,"_136":129,"_23":395,"_140":396,"_145":397,"_157":22},["D",1769457971935],{"_95":96,"_138":139},{"_95":96,"_142":139,"_14":115,"_143":144},{"_101":147,"_97":45,"_104":148,"_149":105,"_150":-5,"_151":-5,"_152":-5,"_153":-5,"_154":-5,"_155":98,"_156":96},[],"isTeamOrg","actionData","errors"]

jhiller

nolaHotspotMap

Environment variables