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Two jobs: the R2-vs-S3 \"race\" readout, and a progress\n// overlay while a re-run is in flight. No framework, no hydration.\n\nconst out = document.getElementById(\"race-out\");\n\nasync function race(store: \"r2\" | \"s3\", btn: HTMLButtonElement) {\n if (!out) return;\n btn.disabled = true;\n out.textContent = `Loading from ${store.toUpperCase()}…`;\n const t0 = performance.now();\n const res = await fetch(`/data?store=${store}`);\n const data = await res.json();\n const roundTrip = Math.round(performance.now() - t0);\n out.textContent =\n `Loaded from ${store.toUpperCase()} in ${roundTrip}ms ` +\n `(blob read ${Math.round(data.ms)}ms · ${(data.bytes / 1024).toFixed(1)}KB)`;\n out.setAttribute(\"data-store\", store);\n btn.disabled = false;\n}\n\ndocument.getElementById(\"race-r2\")?.addEventListener(\n \"click\",\n (e) => race(\"r2\", e.currentTarget as HTMLButtonElement),\n);\ndocument.getElementById(\"race-s3\")?.addEventListener(\n \"click\",\n (e) => race(\"s3\", e.currentTarget as HTMLButtonElement),\n);\n\ndocument.getElementById(\"rerun\")?.addEventListener(\"submit\", () => {\n const overlay = document.getElementById(\"rerun-overlay\");\n if (overlay) {\n overlay.classList.remove(\"hidden\");\n overlay.classList.add(\"flex\");\n }\n});\n","createdAt",["D",1780697381610],"branchVersion","branchId","c832f0ca-d9f6-4c8d-9660-015bba1f8a9a","id","e1cca77d-bf24-4216-8493-df675a7768ee","blob-bench",["D",1780696144434],"deletedAt","legacyEnvVars",false,"privacy","public","httpPrivacy","description","R2 vs S3 blob latency report, served from blob itself","imageUrl","a0bf3b31-15a5-4d5c-880e-4b1e22c9bc18","pinnedFileId","dfc14272-6128-11f1-9e04-1607ee4eb77e","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","ba7bb5fb-1abb-4ffb-8f3d-7c244782e5f7","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_96":95,"_104":100},"org",{"_96":95,"_97":98,"_99":100,"_18":-5,"_101":102,"_103":25},"branch",{"_13":85,"_32":86,"_42":41,"_87":43,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":44,"_94":95},"isOwned",43,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","valdottown","handle","displayName","Val Town ","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvdXBsb2FkZWQvaW1nXzJyWnQ5cFE0c3pleVRCSEVTWmxzaXJsTUlGciJ9","tier","business","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_42":43,"_32":44,"_37":238,"_46":-5,"_47":48,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":57,"_58":25,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":239,"_80":240,"_82":241,"_84":48},"tree",[205,206,207,208,209,210,211,212],"files",[205,206,207,208,209,210,211,212],"counts",{"_195":62,"_196":151,"_197":62,"_198":199,"_200":201},"contents",[127,128,129,130,131,132,133,134],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_42":188,"_32":189,"_30":190,"_138":-5,"_40":41,"_39":191,"_140":25,"_37":192,"_13":62,"_33":20,"_35":193,"_24":48,"_144":-5,"_27":194},{"_42":181,"_32":182,"_30":183,"_138":-5,"_40":41,"_39":184,"_140":48,"_37":185,"_13":151,"_33":34,"_35":186,"_24":48,"_144":-5,"_27":187},{"_42":175,"_32":176,"_30":177,"_138":-5,"_40":41,"_39":142,"_140":25,"_37":178,"_13":62,"_33":34,"_35":179,"_24":48,"_144":-5,"_27":180},{"_42":168,"_32":169,"_30":57,"_138":-5,"_40":41,"_39":170,"_140":48,"_37":171,"_13":164,"_33":172,"_35":173,"_24":48,"_144":-5,"_27":174},{"_42":161,"_32":162,"_30":163,"_138":-5,"_40":41,"_39":164,"_140":25,"_37":165,"_13":62,"_33":34,"_35":166,"_24":48,"_144":-5,"_27":167},{"_42":154,"_32":155,"_30":156,"_138":-5,"_40":41,"_39":157,"_140":48,"_37":158,"_13":142,"_33":34,"_35":159,"_24":48,"_144":-5,"_27":160},{"_42":146,"_32":147,"_30":148,"_138":-5,"_40":41,"_39":149,"_140":48,"_37":150,"_13":151,"_33":34,"_35":152,"_24":48,"_144":-5,"_27":153},{"_42":135,"_32":136,"_30":137,"_138":-5,"_40":41,"_39":139,"_140":48,"_37":141,"_13":142,"_33":34,"_35":143,"_24":48,"_144":-5,"_27":145},"a5b5e580-a2e0-4648-b198-15e7ceb6420f","view.tsx","c60825ee-6128-11f1-a044-1607ee4eb77e","parentId",22,"latest",["D",1780697348343],2,"/** @jsxImportSource npm:hono/jsx */\nimport type { Store } from \"./blob.ts\";\nimport type { OpStats, Snapshot } from \"./types.ts\";\n\nconst round = (n: number) => Math.round(n);\nconst x = (a: number, b: number) => (a / b).toFixed(1);\n\n// ---- bars ---------------------------------------------------------------\nfunction Bar({ tone, label, ms, scale }: { tone: string; label: string; ms: number; scale: number }) {\n const pct = Math.max(3, (ms / scale) * 100);\n return (\n

\n {label}\n \n \n \n {round(ms)}ms\n

\n );\n}\n\nfunction Metric({ label, r2, s3, scale }: { label: string; r2: number; s3: number; scale: number }) {\n return (\n

\n {label}\n {x(r2, s3)}× faster\n

\n \n \n

\n );\n}\n\nfunction OpCard({ title, sub, stats, scale }: { title: string; sub: string; stats: OpStats; scale: number }) {\n return (\n

{title}

{sub}

\n \n \n

\n );\n}\n\n// ---- unified control bar (store toggle + re-run + live read latency) ----\nfunction ControlBar(\n { store, id, loadMs, cooldown }: { store: Store; id: string; loadMs: number; cooldown: boolean },\n) {\n const tab = (s: Store, text: string) => {\n const active = store === s;\n const on = s === \"s3\" ? \"bg-emerald-500 text-white\" : \"bg-rose-500 text-white\";\n return (\n \n {text}\n \n );\n };\n return (\n \n );\n}\n\n// ---- page ---------------------------------------------------------------\nexport function renderPage(props: {\n snapshot: Snapshot;\n store: Store;\n loadMs: number;\n cooldown: boolean;\n}): string {\n const { snapshot: s, store, loadMs, cooldown } = props;\n const scale = Math.max(s.byOp.get.r2.p99, s.byOp.set.r2.p99);\n const speedup = ((s.byOp.get.r2.p90 / s.byOp.get.s3.p90) + (s.byOp.set.r2.p90 / s.byOp.set.s3.p90)) / 2;\n\n const doc = (\n \n \n \n \n Val Town Blob: R2 → S3\n {/* Tailwind Play CDN — the Twind shim (cdn.twind.style) is 403/CORS-blocked. */}\n \n \n \n

\n \n\n

Val Town · Blob Storage

~{speedup.toFixed(0)}× faster on S3

\n\n

\n \n \n

\n\n

Holds across payload sizes

\n {s.bySize.map((b) => (\n

\n {((b.get + b.set) / 2).toFixed(1)}×\n {b.size}\n

\n ))}\n

\n\n \n

\n \n \n );\n return \"\" + doc.toString();\n}\n","label",[136],"3b5fc3f0-fe4e-4bfc-912a-0c2b61060c74","types.ts","693d2a58-6128-11f1-bf40-1607ee4eb77e",19,["D",1780697294842],1,"export type Op = \"get\" | \"set\";\n\n/** Summary of one latency distribution, all in milliseconds. */\nexport interface Stat {\n n: number;\n min: number;\n p50: number;\n p90: number;\n p99: number;\n max: number;\n mean: number;\n}\n\n/** Old vs new for a single operation, pooled across all payload sizes. */\nexport interface OpStats {\n r2: Stat; // old, R2-backed\n s3: Stat; // new, S3-backed\n}\n\n/** A single benchmark run, the unit we persist to blob storage. */\nexport interface Snapshot {\n id: string; // sortable, blob-key-safe, e.g. \"2026-06-05T21-49-03-123Z\"\n createdAt: string; // ISO timestamp\n iterations: number; // measured samples per (size, op)\n sizes: string[];\n /** The headline: get/set latency pooled across every size. */\n byOp: Record;\n /** Just enough to show the speedup holds across sizes — p50 ratio per size. */\n bySize: { size: string; get: number; set: number }[];\n}\n",[147],"aeb5e9d6-5014-4082-aef2-e2ec7b7ab0d1","store.ts","7e62efb2-6128-11f1-a244-1607ee4eb77e",21,["D",1780697322613],"import { type Store, stores } from \"./blob.ts\";\nimport type { Snapshot } from \"./types.ts\";\n\nconst RUNS = \"blob-bench/runs/\"; // one object per run, in BOTH backends\n\n/**\n * Persist a snapshot to BOTH backends under the same key. That's what makes\n * \"load this report from R2 vs S3\" a fair fight: same bytes, same key — the only\n * difference is which store answers.\n */\nexport async function saveSnapshot(snap: Snapshot): Promise {\n const json = JSON.stringify(snap);\n await Promise.all((Object.keys(stores) as Store[]).map((s) => stores[s].set(`${RUNS}${snap.id}.json`, json)));\n}\n\n/** Read one run from one backend, returning the data and the read latency (ms). */\nexport async function loadRun(\n store: Store,\n id: string,\n): Promise<{ snapshot: Snapshot | null; ms: number }> {\n const t0 = performance.now();\n const snapshot = await stores[store].getJSON(`${RUNS}${id}.json`).catch(() => null);\n return { snapshot: snapshot ?? null, ms: performance.now() - t0 };\n}\n\n/** List past run ids (newest first), reading the index from S3. */\nexport async function listRuns(): Promise {\n const items = await stores.s3.list(RUNS).catch(() => []);\n return items\n .map((b) => b.key.slice(RUNS.length).replace(/\\.json$/, \"\"))\n .filter(Boolean)\n .sort()\n .reverse();\n}\n\n// Run ids are ISO timestamps with \":\" and \".\" swapped for \"-\" (blob-key-safe).\nfunction idToDate(id: string): Date {\n const [date, time] = id.split(\"T\");\n const [hh, mm, ss, msz] = time.split(\"-\"); // msz keeps the trailing \"Z\"\n return new Date(`${date}T${hh}:${mm}:${ss}.${msz}`);\n}\n\n/** ms since the most recent run started, or null if there are no runs yet. */\nexport async function msSinceLastRun(): Promise {\n const runs = await listRuns();\n if (!runs.length) return null;\n return Date.now() - idToDate(runs[0]).getTime();\n}\n",[155],"afd6cf8b-4771-47f4-be5b-6c5f770daac4","stats.ts","6e196870-6128-11f1-9ef0-1607ee4eb77e",4,["D",1780696169873],"import type { Stat } from \"./types.ts\";\n\n/** Linear-interpolated percentile (numpy default) over an already-sorted array. */\nfunction percentile(sorted: number[], p: number): number {\n const idx = (sorted.length - 1) * p;\n const lo = Math.floor(idx);\n const hi = Math.ceil(idx);\n return sorted[lo] + (sorted[hi] - sorted[lo]) * (idx - lo);\n}\n\nconst round = (n: number) => Math.round(n * 10) / 10;\n\n/** Reduce a list of latency samples (ms) to a Stat. */\nexport function summarize(samples: number[]): Stat {\n if (samples.length === 0) {\n return { n: 0, min: NaN, p50: NaN, p90: NaN, p99: NaN, max: NaN, mean: NaN };\n }\n const s = [...samples].sort((a, b) => a - b);\n return {\n n: s.length,\n min: round(s[0]),\n p50: round(percentile(s, 0.5)),\n p90: round(percentile(s, 0.9)),\n p99: round(percentile(s, 0.99)),\n max: round(s[s.length - 1]),\n mean: round(s.reduce((a, b) => a + b, 0) / s.length),\n };\n}\n",[162],"af783938-d7bb-4a11-b3e5-5f9d18ee42cc","index.ts",23,["D",1780697363618],"http","import { Hono } from \"npm:hono\";\nimport { parseVal } from \"https://esm.town/v/std/utils/index.ts\";\nimport type { Store } from \"./blob.ts\";\nimport { runBenchmark } from \"./bench.ts\";\nimport { listRuns, loadRun, msSinceLastRun, saveSnapshot } from \"./store.ts\";\nimport { renderPage } from \"./view.tsx\";\n\nconst app = new Hono();\napp.onError((err) => Promise.reject(err)); // full stack traces in logs\n\nconst RERUN_ITERATIONS = 12;\nconst RATE_LIMIT_MS = 60_000; // at most one benchmark per minute\nconst isStore = (v: string): v is Store => v === \"s3\" || v === \"r2\";\nconst redirect = (c: any, to: string) => c.redirect(to); // Response.redirect is broken on VT\n\n// \"/\" → newest run on S3 (the fast default). Empty state if nothing's been run.\napp.get(\"/\", async (c) => {\n const runs = await listRuns();\n if (runs.length) return redirect(c, `/s3/${runs[0]}`);\n return c.html(\n `\n

No benchmark yet

\n `,\n );\n});\n\n// \"/:store/:id\" → render the run, reading the snapshot from THAT backend so the\n// store you pick is literally how fast this page loads.\napp.get(\"/:store/:id\", async (c) => {\n const store = c.req.param(\"store\");\n const id = c.req.param(\"id\");\n if (!isStore(store)) return redirect(c, \"/\");\n const { snapshot, ms } = await loadRun(store, id);\n if (!snapshot) return redirect(c, \"/\");\n return c.html(renderPage({ snapshot, store, loadMs: ms, cooldown: c.req.query(\"cooldown\") === \"1\" }));\n});\n\n// Re-run: rate-limited, benchmark fresh, persist to both stores, show it on S3.\napp.post(\"/runs\", async (c) => {\n const since = await msSinceLastRun();\n if (since !== null && since < RATE_LIMIT_MS) {\n const runs = await listRuns();\n return redirect(c, `/s3/${runs[0]}?cooldown=1`);\n }\n const snapshot = await runBenchmark(RERUN_ITERATIONS);\n await saveSnapshot(snapshot);\n return redirect(c, `/s3/${snapshot.id}`);\n});\n\napp.get(\"/source\", (c) => redirect(c, parseVal().links.self.val));\n\nexport default app.fetch;\n",[169],"8b55f015-c9a0-4519-be52-1c387f7d6aae","blob.ts","6437edb8-6128-11f1-9ef0-1607ee4eb77e",["D",1780696153308],"// The two storage backends, side by side. This is the ONLY place we import\n// the std blob clients — everything else talks to `stores`.\n//\n// s3 → std/blob/main.ts → /v2/blob → scoped, S3-backed (new)\n// r2 → std/blob/global.ts → /v1/blob → global, R2-backed (old)\nimport { blob as s3 } from \"https://esm.town/v/std/blob/main.ts\";\nimport { blob as r2 } from \"https://esm.town/v/std/blob/global.ts\";\n\nexport const stores = { s3, r2 } as const;\nexport type Store = keyof typeof stores; // \"s3\" | \"r2\"\n\nexport const STORE_META: Record = {\n s3: { label: \"new\", backend: \"S3 (scoped)\", tone: \"emerald\" },\n r2: { label: \"old\", backend: \"R2 (global)\", tone: \"rose\" },\n};\n",[176],"c43a4cc8-8bf0-4837-ab68-562d13c48254","bench.ts","77a58f9a-6128-11f1-9375-1607ee4eb77e",20,["D",1780697310107],"import { type Store, stores } from \"./blob.ts\";\nimport { summarize } from \"./stats.ts\";\nimport type { Op, Snapshot } from \"./types.ts\";\n\nconst SIZES: { label: string; bytes: number }[] = [\n { label: \"1KB\", bytes: 1024 },\n { label: \"100KB\", bytes: 100 * 1024 },\n { label: \"1MB\", bytes: 1024 * 1024 },\n];\nconst STORE_ORDER: Store[] = [\"r2\", \"s3\"];\n\nfunction payload(bytes: number): Uint8Array {\n const a = new Uint8Array(bytes);\n for (let i = 0; i < bytes; i++) a[i] = (i * 31 + 7) & 0xff;\n return a;\n}\n\nasync function timed(fn: () => Promise): Promise {\n const t0 = performance.now();\n await fn();\n return performance.now() - t0;\n}\n\n// One op against one backend. `get` drains the body so we time the full download.\nasync function once(store: Store, op: Op, key: string, body: Uint8Array): Promise {\n const blob = stores[store];\n if (op === \"set\") return timed(() => blob.set(key, body));\n return timed(async () => {\n const res = await blob.get(key);\n await res.arrayBuffer();\n });\n}\n\n/**\n * Run the matrix: every (store, size, op), `iterations` measured samples each.\n * Backends are interleaved per iteration so drift hits both symmetrically; one\n * warm-up per cell is discarded. Probe keys are namespaced by run id so every\n * run reads fresh objects (no cross-run caching). Results are pooled across\n * sizes per op — that's the story we tell.\n */\nexport async function runBenchmark(iterations = 12): Promise {\n const createdAt = new Date().toISOString();\n const id = createdAt.replace(/[:.]/g, \"-\");\n const raw = new Map(); // `${store}|${size}|${op}` -> ms[]\n const at = (store: Store, size: string, op: Op) => {\n const k = `${store}|${size}|${op}`;\n let arr = raw.get(k);\n if (!arr) raw.set(k, arr = []);\n return arr;\n };\n\n for (const size of SIZES) {\n const data = payload(size.bytes);\n const key = (store: Store, i: number) => `blob-bench/_probe/${id}/${store}/${size.label}/${i}`;\n\n for (const store of STORE_ORDER) { // warm-up, discarded\n await once(store, \"set\", key(store, 0), data);\n await once(store, \"get\", key(store, 0), data);\n }\n for (let i = 0; i < iterations; i++) {\n for (const store of STORE_ORDER) {\n at(store, size.label, \"set\").push(await once(store, \"set\", key(store, i), data));\n at(store, size.label, \"get\").push(await once(store, \"get\", key(store, i), data));\n }\n }\n await Promise.allSettled(\n STORE_ORDER.flatMap((store) =>\n Array.from({ length: iterations }, (_, i) => stores[store].delete(key(store, i)))\n ),\n );\n }\n\n const pooled = (store: Store, op: Op) =>\n summarize(SIZES.flatMap((s) => raw.get(`${store}|${s.label}|${op}`) ?? []));\n const p50 = (store: Store, size: string, op: Op) =>\n summarize(raw.get(`${store}|${size}|${op}`) ?? []).p50;\n\n return {\n id,\n createdAt,\n iterations,\n sizes: SIZES.map((s) => s.label),\n byOp: {\n get: { r2: pooled(\"r2\", \"get\"), s3: pooled(\"s3\", \"get\") },\n set: { r2: pooled(\"r2\", \"set\"), s3: pooled(\"s3\", \"set\") },\n },\n bySize: SIZES.map((s) => ({\n size: s.label,\n get: p50(\"r2\", s.label, \"get\") / p50(\"s3\", s.label, \"get\"),\n set: p50(\"r2\", s.label, \"set\") / p50(\"s3\", s.label, \"set\"),\n })),\n };\n}\n",[182],"9bb2b67e-6a16-4ba5-87a4-cca7bd368106","README.md","7d9232b8-6129-11f1-8373-1607ee4eb77e",18,["D",1780696625331],"# blob-bench\n\nA live latency report comparing Val Town's **old blob storage (R2)** with the\n**new scoped blob storage (S3)** — and a dogfood of the new store, because the\nreport itself is served from blob.\n\n**Live:** the `index.ts` HTTP endpoint.\n\n## What it shows\n\n- **Median latency** for `get`/`set` across 1KB / 100KB / 1MB payloads, old vs new.\n- **Full distribution** (p50/p90/p99/max) — where R2's slow tail really shows.\n- **\"Load this report from R2 vs S3\"** — the snapshot is stored in *both* backends\n under the same key, so you can load it from either and feel the difference.\n- **Re-run benchmark** — runs a fresh benchmark and saves it to both stores.\n\n## How it's wired\n\n| file | role |\n|------|------|\n| `blob.ts` | the only place the two std clients are imported: `main.ts` (S3) + `global.ts` (R2) |\n| `types.ts` | `Snapshot` / `Row` / `Stat` |\n| `stats.ts` | percentiles + `summarize()` |\n| `bench.ts` | `runBenchmark()` — times set/get on both stores, interleaved, with warm-ups |\n| `store.ts` | persist a snapshot to both stores; load latest/by-id (timed); list runs |\n| `view.tsx` | server-rendered UI (Hono JSX + Tailwind) |\n| `client.ts` | minimal browser JS: the R2-vs-S3 race + re-run progress |\n| `index.ts` | Hono routes: `/`, `/data`, `POST /runs`, `/source` |\n\n## Method\n\nOld and new requests are interleaved each iteration (so drift hits both equally),\none warm-up per cell is discarded, and percentiles are linear-interpolated.\nSnapshots persist in blob under `blob-bench/runs/.json` plus a `latest.json`\npointer, written to both backends.\n",[189],"pulls","branches","forks","envVars",{"_202":62,"_204":62},"connections",{"_202":62,"_203":62},"count","unfilledCount","emptyCount",{"_42":188,"_32":189,"_30":190,"_138":-5,"_40":41,"_39":191,"_140":25,"_37":235,"_13":62,"_33":20,"_35":193,"_24":48,"_144":-5,"_214":236,"_27":237},{"_42":181,"_32":182,"_30":183,"_138":-5,"_40":41,"_39":184,"_140":48,"_37":232,"_13":151,"_33":34,"_35":186,"_24":48,"_144":-5,"_214":233,"_27":234},{"_42":175,"_32":176,"_30":177,"_138":-5,"_40":41,"_39":142,"_140":25,"_37":229,"_13":62,"_33":34,"_35":179,"_24":48,"_144":-5,"_214":230,"_27":231},{"_42":168,"_32":169,"_30":57,"_138":-5,"_40":41,"_39":170,"_140":48,"_37":226,"_13":164,"_33":172,"_35":173,"_24":48,"_144":-5,"_214":227,"_27":228},{"_42":161,"_32":162,"_30":163,"_138":-5,"_40":41,"_39":164,"_140":25,"_37":223,"_13":62,"_33":34,"_35":166,"_24":48,"_144":-5,"_214":224,"_27":225},{"_42":154,"_32":155,"_30":156,"_138":-5,"_40":41,"_39":157,"_140":48,"_37":220,"_13":142,"_33":34,"_35":159,"_24":48,"_144":-5,"_214":221,"_27":222},{"_42":146,"_32":147,"_30":148,"_138":-5,"_40":41,"_39":149,"_140":48,"_37":217,"_13":151,"_33":34,"_35":152,"_24":48,"_144":-5,"_214":218,"_27":219},{"_42":135,"_32":136,"_30":137,"_138":-5,"_40":41,"_39":139,"_140":48,"_37":213,"_13":142,"_33":34,"_35":143,"_24":48,"_144":-5,"_214":215,"_27":216},["D",1780697348343],"children",[],[136],["D",1780697294842],[],[147],["D",1780697322613],[],[155],["D",1780696169873],[],[162],["D",1780697363618],[],[169],["D",1780696153308],[],[176],["D",1780697310107],[],[182],["D",1780696625331],[],[189],["D",1780696144434],{"_96":95,"_104":100},{"_96":95,"_97":98,"_99":100,"_18":-5,"_101":102,"_103":25},{"_13":85,"_32":86,"_42":41,"_87":43,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":44,"_94":95},"ctx",{"_78":-5,"_124":275,"_276":277,"_278":279,"_280":48,"_281":48,"_282":48,"_283":25,"_284":-5,"_285":-7,"_286":-7,"_287":62,"_288":48,"_289":48,"_290":-5,"_291":48,"_292":48,"_293":48,"_294":-5},"ENV",{"_246":247,"_248":249,"_250":86,"_251":252,"_253":254,"_255":256,"_257":258,"_259":260,"_261":262,"_263":264,"_265":266,"_267":268,"_269":270,"_271":272,"_273":274},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

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