[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_173":174,"_175":176},"routes/_app.x.$handle.$name",{"_104":103,"_37":49,"_111":94,"_32":57,"_13":14,"_112":-5,"_11":113,"_114":115,"_116":117,"_118":119,"_120":121,"_26":-5,"_122":-5,"_123":-5,"_124":30,"_125":126,"_127":63,"_128":-5,"_129":-5,"_130":131},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":18,"_19":-5},"project",{"_47":48,"_37":49,"_42":50,"_51":-5,"_52":30,"_53":54,"_55":54,"_56":57,"_58":-5,"_19":59,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":67,"_68":69,"_70":71,"_72":73,"_74":75,"_76":-5,"_77":78,"_79":78,"_80":81,"_82":81,"_83":81,"_84":78,"_85":78,"_86":87,"_88":89,"_90":91,"_92":30},"version",8,"changes",[25],"aiChatInfo",{"_20":21,"_22":-5,"_23":-5,"_24":-5},"userId","aiChatMessageId","8f7bcb47-fe60-4eb4-8acf-665ed4a3b048","aiChatThreadId","aiChatThreadUserId","aiChatThreadTitle",{"_26":27,"_28":-7,"_29":30,"_31":30,"_32":33,"_34":33},"file",{"_35":36,"_37":33,"_38":39,"_40":41,"_42":43,"_44":14,"_45":46,"_29":30},"previous","deleted",false,"deletedHere","path","ingest.ts","latestPath","fileId","e041c0d2-a86d-11f1-b23f-1607ee4eb77e","name","fileType","http","content","// Ingest page for the longlist verifier.\n// Paste your whole list of podcast names here, click Save — it writes them\n// into the val's blob storage under names_1 so main.ts can read them.\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nconst PAGE = `\n\nUpload podcast names\n\n

Paste your podcast names here

One per line, or as a JSON array — either works. Then click Save names.

\n \n

\n\n`;\n\nfunction parseNames(txt: string): string[] {\n try {\n const j = JSON.parse(txt);\n if (Array.isArray(j)) return j.map((s) => String(s).trim()).filter(Boolean);\n } catch (_e) {\n /* not JSON */\n }\n return txt.split(/\\r?\\n/).map((s) => s.trim()).filter(Boolean);\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n if (req.method === \"POST\" && url.searchParams.get(\"action\") === \"save\") {\n try {\n const txt = await req.text();\n const names = parseNames(txt);\n await blob.set(\"names_1\", JSON.stringify(names));\n return new Response(\n `Saved ${names.length} names. Now run main.ts (the verifier) to check them.`,\n { headers: { \"Content-Type\": \"text/plain\" } },\n );\n } catch (e) {\n const msg = e instanceof Error ? `${e.name}: ${e.message}` : String(e);\n return new Response(\"ERROR: \" + msg, { status: 500, headers: { \"Content-Type\": \"text/plain\" } });\n }\n }\n return new Response(PAGE, { headers: { \"Content-Type\": \"text/html; charset=utf-8\" } });\n}\n","createdAt",["D",1788532529232],"branchVersion","branchId","780a019f-b3f0-478c-8bec-f5e9ea5e4951","id","cfe62995-5847-4c90-b90d-483a41dc5933","longlist",["D",1788530401973],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","","imageUrl","93474b45-6cda-4b01-9c86-872d85871021","pinnedFileId","ec528ff0-a868-11f1-a682-1607ee4eb77e","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","01a010ad-0285-700c-b1e3-70dfce8e2fe2","tursoName","cfe6299558474c90b90d483a41dc5933","tursoHostname","cfe6299558474c90b90d483a41dc5933-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789488693443],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_104":103,"_110":57},"org",{"_104":103,"_105":57,"_106":57,"_19":59,"_107":108,"_109":30},"branch",{"_13":93,"_37":94,"_47":46,"_95":48,"_96":-5,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":49,"_102":103},"isOwned",41,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","rarefrog5","handle","displayName","avatar","tier","pro","canRestrictVals","profileImageUrl","branchName","adoptOrgId",{"_47":48,"_37":49,"_42":168,"_51":-5,"_52":30,"_53":54,"_55":54,"_56":57,"_58":-5,"_19":59,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":67,"_68":69,"_70":71,"_72":73,"_74":169,"_76":-5,"_77":78,"_79":78,"_80":81,"_82":81,"_83":81,"_84":78,"_85":78,"_86":170,"_88":171,"_90":172,"_92":30},"tree",[159,160],"files",[159,160],"counts",{"_148":67,"_149":150,"_151":67,"_152":153,"_154":155},"contents",[132,133],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_47":145,"_37":33,"_35":36,"_136":-5,"_45":46,"_44":14,"_138":63,"_42":146,"_13":67,"_38":39,"_40":41,"_29":30,"_143":-5,"_32":147},{"_47":134,"_37":135,"_35":61,"_136":-5,"_45":46,"_44":137,"_138":30,"_42":139,"_13":140,"_38":141,"_40":142,"_29":30,"_143":-5,"_32":144},"1796f38e-27a9-4373-bd5a-50ca369252a0","main.ts","parentId",7,"latest",["D",1788532039341],6,"script","// ============================================================================\n// FORWARD FREQUENCY — PODCAST VERIFICATION SCRIPT (for Val Town)\n// ----------------------------------------------------------------------------\n// WHAT THIS DOES:\n// Takes a list of podcast NAMES (from your Gemini list) and checks each one\n// against the REAL Apple Podcasts catalog. It ONLY keeps shows that actually\n// exist. Fabricated / hallucinated titles that don't resolve to a real feed\n// are set aside in a separate \"notFound\" list for your review — nothing is\n// ever added on the strength of a name alone.\n//\n// For every confirmed-real show it captures the real metadata (Apple ID,\n// artwork, publisher, episode count, feed) and auto-classifies it into your\n// directory's schema (tier / function / focus / reach), the same way your\n// original 1,786 were classified. It also DEDUPES against the shows you\n// already have, so you won't get repeats.\n//\n// HOW TO RUN ON VAL TOWN:\n// 1. Create a new val (type: \"Script\" or \"HTTP\" — Script is simplest).\n// 2. Paste this whole file in.\n// 3. Paste your 4,312 podcast names into the PODCAST_NAMES array below\n// (or set NAMES_URL to a raw text/JSON URL that returns them).\n// 4. Paste your existing IDs+names into EXISTING (from existing_shows.json)\n// so dedupe works. If you skip this, it just won't dedupe.\n// 5. Run it. It logs progress and, at the end, prints two JSON blocks:\n// === VERIFIED (drop-in ready) === -> copy this back to Aileen/Claude\n// === NOT FOUND (for your review) === -> names Apple couldn't confirm\n//\n// It is polite to Apple's API (throttled) so it may take several minutes for\n// 4,000+ names. That's normal. Let it finish.\n// ============================================================================\n\n// ---- 1) PASTE YOUR PODCAST NAMES HERE (or use NAMES_URL) --------------------\nconst PODCAST_NAMES: string[] = [\n // \"1917: Theory & Strategy\",\n // \"5-4 Podcast\",\n // ... paste all names here ...\n];\n// Optional: instead of pasting, point at a raw URL that returns a JSON array\n// of strings OR newline-separated text. Leave \"\" to use PODCAST_NAMES above.\nconst NAMES_URL = \"\";\n\n// ---- 2) PASTE YOUR EXISTING SHOWS (for dedupe) ------------------------------\n// From existing_shows.json — { ids:[...], names:[...normalized...] }\n// If you leave these empty, dedupe is skipped (you can dedupe later).\nconst EXISTING: { ids: number[]; names: string[] } = {\n ids: [],\n names: [],\n};\n\n// ---- 3) TUNING --------------------------------------------------------------\nconst THROTTLE_MS = 350; // delay between Apple calls (be polite)\nconst MATCH_THRESHOLD = 0.82; // how close a title must match to count (0-1)\nconst COUNTRY = \"US\";\n\n// ============================================================================\n// ---- From here down: the engine. You don't need to edit anything. --------\n// ============================================================================\n\nconst existingIds = new Set(EXISTING.ids);\nconst existingNames = new Set(EXISTING.names);\n\nfunction norm(s: string): string {\n return (s || \"\").toLowerCase().replace(/[^a-z0-9]/g, \"\");\n}\n// strip common filler words that shouldn't affect a title match\n// (\"Podcast\", \"Show\", \"Radio\", \"The\", etc.) so \"5-4 Podcast\" == \"5-4\"\nconst FILLER = new Set([\n \"podcast\",\n \"the\",\n \"show\",\n \"radio\",\n \"with\",\n \"a\",\n \"an\",\n \"official\",\n]);\nfunction core(s: string): string {\n return (s || \"\")\n .toLowerCase()\n .replace(/[^a-z0-9\\s]/g, \" \")\n .split(/\\s+/)\n .filter((w) => w && !FILLER.has(w))\n .join(\"\");\n}\n// looser normalization keeping word boundaries, for token comparison\nfunction tokens(s: string): string[] {\n return (s || \"\").toLowerCase().replace(/[^a-z0-9\\s]/g, \" \").split(/\\s+/)\n .filter(Boolean);\n}\n// similarity between two titles: blend of core-exact + token overlap\nfunction titleSim(a: string, b: string): number {\n const na = norm(a), nb = norm(b);\n if (!na || !nb) return 0;\n if (na === nb) return 1;\n // compare with filler words removed (\"5-4 Podcast\" -> \"54\", matches \"5-4\")\n const ca = core(a), cb = core(b);\n if (ca && cb && ca === cb) return 1;\n // containment on the filler-stripped cores, but only when the shorter core is\n // a big fraction of the longer — stops \"Manufactured Panics Review\" ~ \"Manufactured\"\n let contain = 0;\n if (ca && cb && (ca.includes(cb) || cb.includes(ca))) {\n const ratio = Math.min(ca.length, cb.length) /\n Math.max(ca.length, cb.length);\n if (ratio >= 0.7) contain = 0.9;\n else contain = ratio * 0.5;\n }\n // token Jaccard (ignoring filler words)\n const ta = new Set(tokens(a).filter((w) => !FILLER.has(w)));\n const tb = new Set(tokens(b).filter((w) => !FILLER.has(w)));\n let inter = 0;\n for (const t of ta) if (tb.has(t)) inter++;\n const union = new Set([...ta, ...tb]).size || 1;\n const jac = inter / union;\n return Math.max(contain, jac);\n}\n\nasync function itunesSearch(term: string): Promise {\n const url = \"https://itunes.apple.com/search?\" +\n new URLSearchParams({\n term,\n media: \"podcast\",\n entity: \"podcast\",\n limit: \"8\",\n country: COUNTRY,\n }).toString();\n try {\n const r = await fetch(url, {\n headers: { \"User-Agent\": \"FF-Directory-Verify/1.0\" },\n });\n if (!r.ok) return [];\n const j = await r.json();\n return j.results || [];\n } catch (_e) {\n return [];\n }\n}\n\n// ---- auto-classification (mirrors the original directory's logic) ----------\nconst FOCUS_KEYWORDS: [string, string[]][] = [\n [\"democracy\", [\n \"democracy\",\n \"democratic\",\n \"voting rights\",\n \"election integrity\",\n \"authoritarian\",\n \"fascism\",\n \"civic\",\n \"constitution\",\n ]],\n [\"racial_justice\", [\n \"racial justice\",\n \"race\",\n \"black\",\n \"blm\",\n \"civil rights\",\n \"anti-racis\",\n \"racism\",\n ]],\n [\"climate\", [\n \"climate\",\n \"environment\",\n \"warming\",\n \"emissions\",\n \"sustainab\",\n \"green energy\",\n \"fossil\",\n ]],\n [\"environmental_justice\", [\n \"environmental justice\",\n \"pollution\",\n \"frontline communit\",\n \"toxic\",\n ]],\n [\"labor\", [\n \"labor\",\n \"union\",\n \"worker\",\n \"strike\",\n \"wages\",\n \"gig work\",\n \"organizing\",\n ]],\n [\"immigration\", [\n \"immigra\",\n \"migrant\",\n \"border\",\n \"asylum\",\n \"refugee\",\n \"ice \",\n \"deportation\",\n ]],\n [\"housing\", [\n \"housing\",\n \"rent\",\n \"tenant\",\n \"eviction\",\n \"homeless\",\n \"affordable housing\",\n ]],\n [\"reproductive\", [\n \"reproductive\",\n \"abortion\",\n \"roe\",\n \"pro-choice\",\n \"reproductive rights\",\n ]],\n [\"lgbtq_rights\", [\n \"lgbtq\",\n \"queer\",\n \"trans \",\n \"transgender\",\n \"gay \",\n \"pride\",\n \"gender identity\",\n ]],\n [\"disability_rights\", [\n \"disability\",\n \"disabled\",\n \"ableism\",\n \"accessib\",\n \"neurodiver\",\n ]],\n [\"criminal_justice\", [\n \"criminal justice\",\n \"prison\",\n \"incarcerat\",\n \"police\",\n \"carceral\",\n \"abolition\",\n \"mass incarceration\",\n ]],\n [\"health\", [\n \"health care\",\n \"healthcare\",\n \"public health\",\n \"medicaid\",\n \"medicare\",\n \"mental health\",\n ]],\n [\"indigenous\", [\n \"indigenous\",\n \"native american\",\n \"tribal\",\n \"first nations\",\n \"sovereignty\",\n ]],\n [\"socialism\", [\n \"socialis\",\n \"marxis\",\n \"communis\",\n \"anti-capitalis\",\n \"leftist theory\",\n \"class struggle\",\n ]],\n [\"feminism\", [\"feminis\", \"women's rights\", \"gender equality\", \"patriarchy\"]],\n [\"education\", [\n \"education\",\n \"public school\",\n \"teacher\",\n \"student debt\",\n \"curriculum\",\n ]],\n];\n\nconst FN_KEYWORDS: [string, string[]][] = [\n [\"local_journalism\", [\n \"local news\",\n \"city council\",\n \"statehouse\",\n \"municipal\",\n \"county\",\n \"regional\",\n \"community journalism\",\n \"public radio\",\n \"local report\",\n ]],\n [\"electoral\", [\n \"election\",\n \"campaign\",\n \"candidate\",\n \"ballot\",\n \"voter\",\n \"primary\",\n \"electoral\",\n \"politics\",\n \"political analysis\",\n \"congress\",\n \"senate\",\n ]],\n [\"democratic_institutions\", [\n \"democracy\",\n \"institution\",\n \"court\",\n \"supreme court\",\n \"constitution\",\n \"governance\",\n \"policy analysis\",\n \"rule of law\",\n ]],\n [\"issue_advocacy\", [\n \"advocacy\",\n \"activis\",\n \"rights\",\n \"justice\",\n \"reform\",\n \"campaign for\",\n \"fight for\",\n \"movement for\",\n ]],\n [\"community_movement\", [\n \"community\",\n \"movement\",\n \"grassroots\",\n \"organizing\",\n \"mutual aid\",\n \"solidarity\",\n \"collective\",\n ]],\n];\n\nfunction classify(name: string, desc: string, eps: number, genres: string[]) {\n const text = (name + \" \" + desc + \" \" + (genres || []).join(\" \"))\n .toLowerCase();\n\n // focus\n let focus = \"\";\n for (const [f, kws] of FOCUS_KEYWORDS) {\n if (kws.some((k) => text.includes(k))) {\n focus = f;\n break;\n }\n }\n // function\n let fn = \"other\";\n for (const [f, kws] of FN_KEYWORDS) {\n if (kws.some((k) => text.includes(k))) {\n fn = f;\n break;\n }\n }\n // tier: core_political if clearly about politics/elections/policy, else civic_adjacent\n const corePol = [\n \"politics\",\n \"election\",\n \"campaign\",\n \"congress\",\n \"senate\",\n \"policy\",\n \"government\",\n \"democrat\",\n \"republican\",\n \"left\",\n \"progressive\",\n \"conservative\",\n ];\n const tier = corePol.some((k) => text.includes(k))\n ? \"core_political\"\n : \"civic_adjacent\";\n // reach by episode count (matches original thresholds)\n const reach = eps >= 200 ? \"established\" : eps >= 50 ? \"growing\" : \"emerging\";\n // invest heuristic: emerging+active = higher need; keep simple\n const invest = reach === \"emerging\"\n ? \"high\"\n : reach === \"growing\"\n ? \"medium\"\n : \"low\";\n return { tier, fn, focus, reach, invest };\n}\n\nfunction toRecord(res: any) {\n const id = res.collectionId || res.trackId;\n const eps = res.trackCount || 0;\n const genres: string[] = res.genres || [];\n const name = res.collectionName || res.trackName || \"\";\n const desc = \"\"; // Apple search API doesn't return full desc; fill from feed later if wanted\n const cls = classify(name, desc, eps, genres);\n return {\n id,\n name,\n pub: res.artistName || \"\",\n desc, // left blank here; can be enriched from the RSS feed in a later pass\n tier: cls.tier,\n fn: cls.fn,\n focus: cls.focus,\n eps,\n yrs: 0,\n active: true, // Apple returns currently-listed shows; refine from feed dates if needed\n reach: cls.reach,\n invest: cls.invest,\n art: res.artworkUrl600 || res.artworkUrl100 || \"\",\n link: id ? `https://pod.link/${id}` : (res.collectionViewUrl || \"\"),\n rec: [], // recommendations are computed live in the browser now — leave empty\n source: \"verified_apple\",\n feed: res.feedUrl || \"\", // handy for a later description-enrichment pass\n genres,\n };\n}\n\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nasync function parseNamesTxt(txt: string): Promise {\n try {\n const j = JSON.parse(txt);\n if (Array.isArray(j)) return j.map(String);\n } catch (_e) { /* not JSON */ }\n return txt.split(/\\r?\\n/).map((s) => s.trim()).filter(Boolean);\n}\n\nasync function loadNames(): Promise {\n // 1) Prefer names stored in this val's blob storage (keys \"names_1\"…\"names_N\").\n // Pasted in chunks and stored by a settings val — no 80k-char code limit.\n const parts: string[] = [];\n for (let k = 1; k <= 50; k++) {\n try {\n const res = await blob.get(`names_${k}`);\n if (!res) break;\n parts.push(...(await parseNamesTxt(await res.text())));\n } catch (_e) {\n break;\n }\n }\n if (parts.length) return parts;\n // 2) Fall back to a URL if set.\n if (NAMES_URL) {\n const r = await fetch(NAMES_URL);\n const txt = await r.text();\n try {\n const j = JSON.parse(txt);\n if (Array.isArray(j)) return j.map(String);\n } catch (_e) {\n return txt.split(/\\r?\\n/).map((s) => s.trim()).filter(Boolean);\n }\n }\n // 3) Last resort: the inline array.\n return PODCAST_NAMES;\n}\n\nexport default async function main() {\n const names = await loadNames();\n const clean = names\n .map((n) => (n || \"\").trim())\n .filter((n) => n && n.toLowerCase() !== \"podcast\"); // drop header row\n const uniqueNames = Array.from(new Set(clean));\n\n console.log(`Loaded ${uniqueNames.length} unique names to verify.`);\n console.log(\n `Existing shows for dedupe: ${existingIds.size} ids, ${existingNames.size} names.`,\n );\n\n const verified: any[] = [];\n const notFound: string[] = [];\n const duplicates: string[] = [];\n const seenNewIds = new Set();\n\n let i = 0;\n for (const query of uniqueNames) {\n i++;\n if (i % 100 === 0) {\n console.log(\n `... ${i}/${uniqueNames.length} checked | kept ${verified.length} | notFound ${notFound.length} | dupes ${duplicates.length}`,\n );\n }\n\n const results = await itunesSearch(query);\n await new Promise((r) => setTimeout(r, THROTTLE_MS));\n\n if (!results.length) {\n notFound.push(query);\n continue;\n }\n\n // find the best-matching result by title similarity\n let best: any = null, bestScore = 0;\n for (const res of results) {\n const cand = res.collectionName || res.trackName || \"\";\n const s = titleSim(query, cand);\n if (s > bestScore) {\n bestScore = s;\n best = res;\n }\n }\n if (!best || bestScore < MATCH_THRESHOLD) {\n notFound.push(query);\n continue;\n }\n\n const rec = toRecord(best);\n if (!rec.id) {\n notFound.push(query);\n continue;\n }\n\n // dedupe against existing directory AND against this run\n if (\n existingIds.has(rec.id) || existingNames.has(norm(rec.name)) ||\n seenNewIds.has(rec.id)\n ) {\n duplicates.push(`${query} -> ${rec.name} (${rec.id})`);\n continue;\n }\n seenNewIds.add(rec.id);\n verified.push(rec);\n }\n\n console.log(`\\n===== DONE =====`);\n console.log(`Checked: ${uniqueNames.length}`);\n console.log(`Verified real & NEW: ${verified.length}`);\n console.log(`Already had (duplicates): ${duplicates.length}`);\n console.log(\n `Not found on Apple (likely fabricated or mis-titled): ${notFound.length}`,\n );\n\n console.log(\n `\\n=== VERIFIED (drop-in ready — copy this JSON back to Claude) ===`,\n );\n console.log(JSON.stringify(verified));\n\n console.log(\n `\\n=== NOT FOUND (for your review — real shows may hide here under a different exact title) ===`,\n );\n console.log(JSON.stringify(notFound));\n\n console.log(`\\n=== DUPLICATES (already in your directory) ===`);\n console.log(JSON.stringify(duplicates));\n\n console.log(`\\n=== SUMMARY ===`);\n console.log(JSON.stringify(\n {\n checked: uniqueNames.length,\n verified: verified.length,\n duplicates: duplicates.length,\n notFound: notFound.length,\n },\n null,\n 2,\n ));\n}\n\n// Script vals: call the entrypoint at the top level. This runs once when the\n// val is executed, logs progress to the console, and prints the two JSON\n// blocks (=== VERIFIED === and === NOT FOUND ===) for you to copy out.\nawait main();","label",[135],"60680860-1a8f-487e-850c-c426216c229e",["D",1788532529232],[33],"pulls","branches",1,"forks","envVars",{"_156":67,"_158":67},"connections",{"_156":67,"_157":67},"count","unfilledCount","emptyCount",{"_47":145,"_37":33,"_35":36,"_136":-5,"_45":46,"_44":14,"_138":63,"_42":165,"_13":67,"_38":39,"_40":41,"_29":30,"_143":-5,"_162":166,"_32":167},{"_47":134,"_37":135,"_35":61,"_136":-5,"_45":46,"_44":137,"_138":30,"_42":161,"_13":140,"_38":141,"_40":142,"_29":30,"_143":-5,"_162":163,"_32":164},["D",1788532039341],"children",[],[135],["D",1788532529232],[],[33],["D",1788530401973],["D",1789488693443],{"_104":103,"_110":57},{"_104":103,"_105":57,"_106":57,"_19":59,"_107":108,"_109":30},{"_13":93,"_37":94,"_47":46,"_95":48,"_96":-5,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":49,"_102":103},"ctx",{"_86":-5,"_129":206,"_207":208,"_209":210,"_211":30,"_212":30,"_213":30,"_214":63,"_215":-5,"_216":-7,"_217":-7,"_218":67,"_219":30,"_220":30,"_221":-5,"_222":30,"_223":30,"_224":30,"_225":-5},"ENV",{"_177":178,"_179":180,"_181":94,"_182":183,"_184":185,"_186":187,"_188":189,"_190":191,"_192":193,"_194":195,"_196":197,"_198":199,"_200":201,"_202":203,"_204":205},"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"]

Diff · v8