[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_371":372,"_373":374},"routes/_app.x.$handle.$name",{"_103":102,"_32":44,"_112":90,"_27":113,"_13":14,"_114":-5,"_11":115,"_116":117,"_118":119,"_120":121,"_122":123,"_20":-5,"_124":125,"_126":127,"_128":25,"_129":130,"_131":59,"_132":-5,"_133":-5,"_134":135},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_42":43,"_32":44,"_37":45,"_46":-5,"_47":25,"_48":49,"_50":49,"_51":52,"_53":54,"_18":55,"_56":57,"_58":59,"_60":-5,"_61":-5,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71,"_72":-5,"_73":74,"_75":74,"_76":77,"_78":77,"_79":77,"_80":74,"_81":74,"_82":83,"_84":85,"_86":87,"_88":25},"version",142,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":20,"_34":36,"_37":38,"_39":14,"_40":41,"_24":25},"previous",{"_30":31,"_32":28,"_33":20,"_34":35},"deleted",false,"deletedHere","path","PROMPT.md","latestPath","fileId","b585c27a-7cae-11f1-a257-1607ee4eb77e","name","fileType","content","You are a lead qualification researcher.\n\nI'm sending you data about a lead — usually a GitHub user and their recent activity (stars, forks, issues, PRs) on our repos. Exhaustively research the person: their GitHub profile and repos, linked personal and company sites, blogs they've written, etc. Then score how well they fit the ideal customer profile below.\n\nIdeal customer profile (replace these criteria with your own):\n\n1. Founder or engineer with buying influence\n2. B2B SaaS startup\n3. They know how to code\n\nHow to score:\n\n- 80-100: strong fit, meets nearly all of the criteria\n- 50-79: partial fit, meets some of the criteria\n- 0-49: weak fit, meets few or none of the criteria\n\nReturn your final response in JSON only with the following schema. Keep these exact fields even after you change the criteria above:\n\n{\n \"name\": string,\n \"company\": string,\n \"score\": integer from 0 to 100,\n \"reasoning\": string\n}\n","You are a lead qualification researcher.\n\nI'm sending you data about a lead — usually a GitHub user and their recent activity (stars, forks, issues, PRs). Exhaustively research the person: their GitHub profile and repos, linked personal and company sites, blogs they've written, etc. Then score how well they fit the ideal customer profile below.\n\nThe lead may include a `watched` field describing our relationship to each org they were active in (e.g. \"our repos\" vs \"competitor's repos\"). Activity on our own repos is a much hotter signal than activity on a competitor's — weigh it accordingly, and say in your reasoning where the lead came from.\n\nIdeal customer profile (replace these criteria with your own):\n\n1. Founder or engineer with buying influence\n2. B2B SaaS startup\n3. They know how to code\n\nHow to score:\n\n- 80-100: strong fit, meets nearly all of the criteria\n- 50-79: partial fit, meets some of the criteria\n- 0-49: weak fit, meets few or none of the criteria\n\nReturn your final response in JSON only with the following schema. Keep these exact fields even after you change the criteria above:\n\n{\n \"name\": string,\n \"company\": string,\n \"score\": integer from 0 to 100,\n \"reasoning\": string\n}\n","createdAt",["D",1783725452141],"branchVersion","branchId","2beae49c-ed74-11f0-997b-42dde27851f2","id","2be6e306-ed74-11f0-997b-42dde27851f2","github-leads",["D",1767974365657],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Find customers to sell to from GitHub activity","imageUrl","https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/aeec28de-dccc-49ab-3dcc-66b67afd7700/square512?exp=1789538399&sig=a00a4becc4680a8590282c71f67a5a90cced15b6cf36b1cbc7f38f8370bfce19","9319c175-2593-4f88-ba21-04f2ef7b1c28","pinnedFileId","019ba37b-ea2b-73cf-99fb-0144463ae288","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",3,"orgId","019aa807-52c2-709c-928b-2029bae9a558","tursoName","2be6e306ed7411f0997b42dde27851f2","tursoHostname","2be6e306ed7411f0997b42dde27851f2-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789455078571],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_103":102,"_111":107},"org",{"_103":102,"_104":105,"_106":107,"_18":-5,"_108":109,"_110":59},"branch",{"_13":89,"_32":90,"_42":41,"_91":43,"_92":93,"_94":95,"_96":49,"_97":98,"_99":65,"_100":44,"_101":102},"isOwned",146,"main","projectId","forkedBranchId","6b736e3c-daf9-11f0-9e58-42dde27851f2","forkedBranchVersion",138,"forkedProjectPrivacy","forkedProjectId","6b7157fa-daf9-11f0-9e58-42dde27851f2","forkedProjectOrgId","projectName","userHandle","templates","handle","displayName","Templates","avatar","https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/129cab32-3bd7-4c3e-f39b-f12900c76100/square512?exp=1789538399&sig=ed57122c136965e1015088c1b79a18d1d4e6250d1eb81abacde1e740f48894e7","tier","business","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_42":43,"_32":44,"_37":366,"_46":-5,"_47":25,"_48":49,"_50":49,"_51":52,"_53":54,"_18":55,"_56":57,"_58":59,"_60":-5,"_61":-5,"_62":63,"_64":65,"_66":67,"_68":69,"_70":367,"_72":-5,"_73":74,"_75":74,"_76":77,"_78":77,"_79":77,"_80":74,"_81":74,"_82":368,"_84":369,"_86":370,"_88":25},"tree",[217,223,232,234,235,236,237],"files",[217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237],"counts",{"_206":191,"_207":184,"_208":209,"_210":211,"_212":213},"contents",[146,147,148,149,150,151,152],"upstreamProject",{"_42":98,"_32":142,"_51":143,"_53":144,"_48":49,"_82":145},"upstreamBranch",{"_42":93,"_37":136,"_137":138,"_32":90,"_91":98,"_13":139,"_92":-5,"_94":-5,"_140":141,"_46":-5,"_88":25,"_48":49,"_101":102,"_64":65,"_100":142},"emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},["D",1765942523251],"updatedAt",["D",1783725702215],144,"lockfileKey","1783725702296-esm.town_v_templates_leads@144-main","leads","Lead qualifying from any data source","https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/dbb4ad1d-cd97-4466-848f-80ed9f1be300/square512?exp=1789538399&sig=e300ae8102371cfb67ece1f6bcb6520702d58b271fb14e3bfb945db02bc71cdf",{"_103":102,"_111":107},{"_42":200,"_32":201,"_30":202,"_155":-5,"_40":41,"_39":203,"_157":59,"_37":204,"_13":191,"_33":192,"_34":-5,"_24":25,"_162":-5,"_27":205},{"_42":194,"_32":195,"_30":196,"_155":-5,"_40":41,"_39":197,"_157":59,"_37":198,"_13":191,"_33":192,"_34":-5,"_24":25,"_162":-5,"_27":199},{"_42":186,"_32":187,"_30":188,"_155":-5,"_40":41,"_39":189,"_157":59,"_37":190,"_13":191,"_33":192,"_34":-5,"_24":25,"_162":-5,"_27":193},{"_42":182,"_32":28,"_30":31,"_155":-5,"_40":41,"_39":14,"_157":59,"_37":183,"_13":184,"_33":20,"_34":36,"_24":25,"_162":-5,"_27":185},{"_42":174,"_32":175,"_30":176,"_155":-5,"_40":41,"_39":177,"_157":25,"_37":178,"_13":179,"_33":20,"_34":180,"_24":25,"_162":-5,"_27":181},{"_42":165,"_32":166,"_30":167,"_155":-5,"_40":41,"_39":168,"_157":25,"_37":169,"_13":170,"_33":171,"_34":172,"_24":25,"_162":-5,"_27":173},{"_42":153,"_32":154,"_30":57,"_155":-5,"_40":41,"_39":156,"_157":59,"_37":158,"_13":159,"_33":160,"_34":161,"_24":25,"_162":163,"_27":164},"615b215e-2589-44f3-9ff1-0cc85aec2d7b","main.ts","parentId",118,"latest",["D",1783722493347],6,"http","import { oauthMiddleware } from \"https://esm.town/v/std/oauth/middleware.ts\";\nimport app from \"./backend/index.ts\";\n\nexport default oauthMiddleware(app.fetch);\n","label","githubleads",[154],"b9c00605-e497-4201-8e30-0f7a1638e361","github.cron.ts","81346198-ed75-11f0-a2b0-42dde27851f2",139,["D",1783725107418],42,"interval","import { Octokit } from \"npm:octokit@5.0.5\";\nimport { processLead } from \"./backend/agent.ts\";\nimport { appendFollowup, createProcessingLead, findLeadByGithubUsername } from \"./backend/db.ts\";\n\n// ── CONFIGURE: GitHub orgs to watch. The relationship label gives the scoring\n// agent context: activity on your own repos is a much hotter signal than\n// activity on a competitor's.\nexport const WATCHED = [\n { org: \"val-town\", relationship: \"our repos\" },\n // { org: \"some-competitor\", relationship: \"competitor's repos\" },\n];\n\n// Hourly sweep of each watched org's public events (stars, forks, issues,\n// PRs). Each new person becomes a lead run through the same scoring pipeline\n// as webhook submissions; repeat activity appends to their existing lead.\n// Note: GitHub's Events API only returns the ~300 most recent events per org.\nexport default async function (interval: Interval) {\n const lastChecked = interval.lastRunAt ?? new Date(0);\n const octokit = new Octokit({ auth: Deno.env.get(\"GITHUB_TOKEN\") });\n // Lets the agent (and a human reading the lead) see how we relate to each org.\n const watched = Object.fromEntries(WATCHED.map((w) => [w.org, w.relationship]));\n\n const newEvents = (await Promise.all(\n WATCHED.map(({ org }) =>\n octokit.paginate(octokit.rest.activity.listPublicOrgEvents, { org, per_page: 100 })\n ),\n ))\n .flat()\n .filter((e: any) => new Date(e.created_at) > lastChecked)\n .filter((e: any) => e.actor?.login && !e.actor.login.includes(\"[bot]\"));\n\n const actorEvents = Map.groupBy(newEvents, (e: any) => e.actor.login);\n console.log(`${newEvents.length} new events from ${actorEvents.size} users`);\n\n await Promise.all(\n Array.from(actorEvents, async ([login, events]) => {\n const existing = await findLeadByGithubUsername(login);\n if (existing) return appendFollowup(existing.id, events);\n // github_username keys Clay enrichment and dedupe on later sweeps;\n // events carry the GitHub activity for the agent to research.\n const inputData = { github_username: login, events, watched };\n const leadId = await createProcessingLead(inputData);\n await processLead(leadId, inputData);\n }),\n );\n}\n",[166],"dc6b62d9-3229-4ba8-87d1-06d0da6ff905","README.md","019ba37b-ea2b-73cf-99fa-f3d9c3769619",122,["D",1783722537507],8,"# GitHub Leads\n\nFind potential customers from GitHub activity. A cron watches your org's public\nevents (stars, forks, issues, PRs), and AI researches every new person on the\nlive web and scores them against [your ideal customer profile](./PROMPT.md).\nQualified leads ping Slack instantly and roll up in a daily email digest.\n\n```mermaid\nflowchart LR\n A[GitHub org events] --> C[AI research + scoring]\n B[Forms, webhooks] --> C\n C --> D[(SQLite)]\n D --> E[Dashboard]\n D --> F[Slack + email digest]\n```\n\n## Getting started\n\n1. Click [**Remix**](/?intent=remix)\n2. Set `GITHUB_ORG` in [`github.cron.ts`](./github.cron.ts) to your org, and\n swap your own criteria into [`PROMPT.md`](./PROMPT.md) — keep the output\n fields\n3. Add a `GITHUB_TOKEN` env var\n ([create one here](https://github.com/settings/tokens))\n4. Optional: `SLACK_WEBHOOK_URL` for an instant ping per qualified lead\n ([setup guide](https://docs.val.town/guides/slack/send-messages-to-slack/)),\n and `DIGEST_RECIPIENTS` (comma-separated emails) for the daily digest\n\n## How it works\n\nThis is the [leads](https://www.val.town/x/templates/leads) template plus a\nGitHub source and notifications — `backend/`, `frontend/`, and `shared/` are\nthe same engine (webhook endpoint, AI agent with Clay enrichment, dashboard);\nsee that template's README for the details.\n\n- [`github.cron.ts`](./github.cron.ts) — hourly sweep of your org's public\n events. New people become leads; repeat activity appends to their existing\n lead instead of duplicating it.\n- [`backend/notify.ts`](./backend/notify.ts) — Slack message the moment a lead\n scores 80+.\n- [`digest.ts`](./digest.ts) — daily email (1pm UTC) of new qualified leads.\n\nYou can also POST JSON leads to this val's URL from any source — the same URL\nis your dashboard, gated to members of your 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Types shared between the Hono backend and the React frontend.\n\nexport interface LeadOutput {\n name?: string;\n company?: string;\n score?: number;\n reasoning?: string;\n error?: string;\n [key: string]: unknown;\n}\n\nexport type LeadStatus = \"processing\" | \"done\" | \"failed\";\n\nexport interface Lead {\n id: number;\n timestamp: number;\n input: Record;\n output: LeadOutput | null;\n status: LeadStatus;\n score: number | null;\n}\n\n// A lead still \"processing\" after this long almost certainly crashed.\nexport const PROCESSING_TIMEOUT_MS = 3 * 60 * 1000;\n\n// A lead is qualified at or above this score: green in the UI, and the bar\n// any notification (email digest, Slack, etc.) should trigger on.\nexport const QUALIFIED_SCORE = 80;\n\n// Sentinel the backend writes into output_data when it claims a lead for\n// scoring, so concurrent /process calls can't double-score it. Both \"\" (just\n// created) and this sentinel mean \"still processing\".\nexport const CLAIMED_OUTPUT = \"claimed\";\n\ninterface LeadRow {\n id: number;\n timestamp: number;\n input_data: string;\n output_data: string;\n}\n\n// Turn a raw DB row (input_data/output_data as JSON strings) into the shape the\n// frontend consumes: parsed fields plus a single computed status. Keeping this\n// one function as the source of truth means the server and client never disagree\n// about whether a lead is processing, done, or failed.\nexport function toClientLead(row: LeadRow, now: number): Lead {\n let input: Record = {};\n try {\n input = JSON.parse(row.input_data);\n } catch { /* leave as {} */ }\n\n const base = { id: row.id, timestamp: row.timestamp, input };\n\n // Empty or claimed output = the agent hasn't written a result yet.\n if (row.output_data === \"\" || row.output_data === CLAIMED_OUTPUT) {\n const timedOut = now - row.timestamp > PROCESSING_TIMEOUT_MS;\n return { ...base, output: null, status: timedOut ? \"failed\" : \"processing\", score: null };\n }\n\n let output: LeadOutput;\n try {\n output = JSON.parse(row.output_data);\n } catch {\n return { ...base, output: { error: \"Malformed output\" }, status: \"failed\", score: null };\n }\n\n if (output.error) return { ...base, output, status: \"failed\", score: null };\n\n return {\n ...base,\n output,\n status: \"done\",\n score: typeof output.score === \"number\" ? output.score : 0,\n };\n}\n",[],[187,252],["D",1783722336474],[233],[187],"6795c3c0-48bf-452e-a4e1-8ba2628a4865","index.tsx","7aa9c386-7cae-11f1-90ea-1607ee4eb77e",112,["D",1783722424916],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { type Lead } from \"../shared/types.ts\";\nimport { App } from \"./components/App.tsx\";\n\ndeclare global {\n interface Window {\n __INITIAL_DATA__: {\n initialLeads: Lead[];\n webhookUrl: string;\n username: string | null;\n };\n }\n}\n\nconst root = document.getElementById(\"root\");\nif (!root) throw new Error(\"No root element found\");\n\ncreateRoot(root).render();\n",[],[195,264],"cba5f19b-50d1-4a0a-984b-2f548f067dbb","index.html","7948a1ce-7cae-11f1-940f-1607ee4eb77e",["D",1783722422595],"\n\n \n \n \n GitHub Leads\n \n \n \n

\n \n \n \n\n",[],[195,272],"2090f864-1ae4-4e96-ad34-053059870dd1","LeadRow.tsx","8e29bf56-7cae-11f1-b2a2-1607ee4eb77e","39c36895-5e32-445e-af9f-74dfb1e5b8fa",["D",1783724582527],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\nimport { type Lead, QUALIFIED_SCORE } from \"../../shared/types.ts\";\n\n// Relative dates keep the feed scannable: \"2h ago\" matters, exact dates don't.\nexport function timeAgo(ts: number): string {\n const mins = Math.floor((Date.now() - ts) / 60_000);\n if (mins < 1) return \"just now\";\n if (mins < 60) return `${mins}m ago`;\n const hours = Math.floor(mins / 60);\n if (hours < 24) return `${hours}h ago`;\n const days = Math.floor(hours / 24);\n if (days < 30) return `${days}d ago`;\n return new Date(ts).toLocaleDateString(\"en-US\", { month: \"short\", day: \"numeric\", year: \"numeric\" });\n}\n\n// Fixed-width score column; green is reserved for qualified,\n// red for failed. Everything else stays quiet.\nfunction Score({ lead }: { lead: Lead }) {\n if (lead.status === \"processing\") {\n return ··;\n }\n if (lead.status === \"failed\") {\n return ✗;\n }\n const score = lead.score ?? 0;\n return (\n = QUALIFIED_SCORE ? \"text-green-700 font-semibold\" : \"text-gray-400\"}>\n {score}\n \n );\n}\n\nconst ROW = \"w-full text-left py-2.5 border-b border-gray-100 grid grid-cols-[2.5rem_1fr_auto] items-baseline gap-3\";\n\nexport function LeadRow({ lead, onSelect }: { lead: Lead; onSelect: (id: number) => void }) {\n const displayName = lead.output?.name || (lead.input.name as string) ||\n (lead.input.github_username as string) || (lead.input.company as string) || \"Unknown\";\n\n return (\n onSelect(lead.id)}\n className={`${ROW} hover:bg-gray-50 cursor-pointer`}\n >\n \n \n {displayName}\n {lead.output?.company && · {lead.output.company}}\n {lead.status === \"processing\" && · scoring…}\n {lead.status === \"failed\" && · failed}\n \n {timeAgo(lead.timestamp)}\n \n );\n}\n\nexport function SampleRow(\n { name, company, score }: { name: string; company: string; score: number },\n) {\n return (\n

\n = QUALIFIED_SCORE ? \"text-green-700 font-semibold\" : \"text-gray-400\"}`}>\n {score}\n \n \n {name}\n · {company}\n \n example\n

\n );\n}\n",[],[195,286,279],"components","212b80fa-0b61-4759-93ea-e0aea5d6e204","LeadDetail.tsx","93758c4c-7cae-11f1-8d68-1607ee4eb77e",["D",1783724582527],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\nimport { type Lead, QUALIFIED_SCORE } from \"../../shared/types.ts\";\nimport { timeAgo } from \"./LeadRow.tsx\";\n\nexport function LeadDetail({ lead, onBack }: { lead: Lead; onBack: () => void }) {\n const output = lead.output;\n const score = lead.score ?? 0;\n const displayName = output?.name || (lead.input.name as string) ||\n (lead.input.github_username as string) || (lead.input.company as string) || \"Unknown\";\n\n return (\n

\n \n ← All leads\n \n\n

{displayName}

\n {output?.company && `${output.company} · `}\n {timeAgo(lead.timestamp)}\n

\n\n {lead.status === \"failed\"\n ? (\n

\n {output?.error ||\n \"This lead has been processing for over 3 minutes and likely failed. Try resubmitting it.\"}\n

\n )\n : lead.status === \"processing\"\n ? (\n

\n Scoring — the AI is researching this lead. Usually takes a minute or two.\n

\n )\n : (\n

= QUALIFIED_SCORE ? \"text-green-700\" : \"\"}`}>\n {score}\n / 100\n

\n {output?.reasoning || \"No reasoning provided\"}\n

\n )}\n\n \n {output && lead.status !== \"processing\" && }\n

\n );\n}\n\nfunction DataList({ title, data }: { title: string; data: Record }) {\n const entries = Object.entries(data);\n if (entries.length === 0) return null;\n\n return (\n

{title}

\n {entries.map(([key, value]) => (\n

\n {key}\n \n {typeof value === \"object\" ? JSON.stringify(value) : String(value ?? \"\")}\n \n

\n ))}\n

\n );\n}\n",[],[195,286,288],"5b182ec0-70e0-450b-94f0-7d90681fc9de","GithubTester.tsx","ab940f6e-7cb4-11f1-91dd-1607ee4eb77e",135,["D",1783725083915],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\n\n// One quiet line under the title: score any GitHub username on demand, plus\n// the webhook URL for wiring up other sources (forms, signups, CRMs).\nexport function GithubTester({ webhookUrl, onSent }: { webhookUrl: string; onSent: () => void }) {\n const [handle, setHandle] = React.useState(\"\");\n const [sending, setSending] = React.useState(false);\n const [error, setError] = React.useState(null);\n const [copied, setCopied] = React.useState(false);\n\n const copy = async () => {\n try {\n await navigator.clipboard.writeText(webhookUrl);\n } catch {\n // Clipboard API is blocked by permissions policy inside iframes (like\n // the Val Town preview); fall back to the legacy selection approach.\n const ta = document.createElement(\"textarea\");\n ta.value = webhookUrl;\n ta.style.position = \"fixed\";\n ta.style.opacity = \"0\";\n document.body.appendChild(ta);\n ta.select();\n document.execCommand(\"copy\");\n ta.remove();\n }\n setCopied(true);\n setTimeout(() => setCopied(false), 2000);\n };\n\n const send = async () => {\n const username = handle.trim().replace(/^@/, \"\");\n if (!username || sending) return;\n setSending(true);\n setError(null);\n try {\n const res = await fetch(`${webhookUrl}?source=manual`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ github_username: username }),\n });\n const data = await res.json();\n if (data.error) {\n setError(data.error);\n } else {\n setHandle(\"\");\n onSent();\n }\n } catch (err) {\n setError(err instanceof Error ? err.message : String(err));\n } finally {\n setSending(false);\n }\n };\n\n return (\n

\n setHandle(e.target.value)}\n onKeyDown={(e) => e.key === \"Enter\" && send()}\n placeholder=\"Score a GitHub username…\"\n spellCheck={false}\n className=\"border border-gray-200 px-2.5 py-1.5 w-56 focus:outline-none focus:border-gray-400\"\n />\n \n {sending ? \"sending…\" : \"score\"}\n \n \n or POST JSON to{\" \"}\n this URL{\" \"}\n \n {copied ? \"copied\" : \"copy\"}\n \n \n

\n {error &&

{error}

}\n

\n );\n}\n",[],[195,286,295],"284b7892-9473-4b1c-a95f-57e2cadf22ab","Dashboard.tsx","88552f7a-7cae-11f1-9c3a-1607ee4eb77e",["D",1783724582527],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { type Lead, QUALIFIED_SCORE } from \"../../shared/types.ts\";\nimport { LeadRow, SampleRow } from \"./LeadRow.tsx\";\n\nconst WEEK_MS = 7 * 24 * 60 * 60 * 1000;\n\n// Shown only when there are no leads yet, so the dashboard demonstrates what\n// scored leads look like before the first real one arrives.\nconst SAMPLE_LEADS = [\n { name: \"Maya Chen\", company: \"Parabolic Systems\", score: 92 },\n { name: \"Diego Alvarez\", company: \"Kestrel Analytics\", score: 61 },\n { name: \"Sam Hobbyist\", company: \"Personal blog\", score: 14 },\n];\n\n// Best leads first, but only within the last week — an old high score\n// shouldn't outrank this morning's lead forever. Still-processing leads pin\n// to the top; leads older than a week collapse under \"Earlier\".\nfunction byScoreThenNewest(a: Lead, b: Lead): number {\n if ((a.status === \"processing\") !== (b.status === \"processing\")) {\n return a.status === \"processing\" ? -1 : 1;\n }\n return (b.score ?? 0) - (a.score ?? 0) || b.timestamp - a.timestamp;\n}\n\nexport function Dashboard(\n { leads, onSelect }: { leads: Lead[]; onSelect: (id: number) => void },\n) {\n const sorted = [...leads].sort(byScoreThenNewest);\n const cutoff = Date.now() - WEEK_MS;\n const recent = sorted.filter((l) => l.timestamp >= cutoff);\n const earlier = sorted.filter((l) => l.timestamp < cutoff);\n const qualified = recent.filter(\n (l) => l.status === \"done\" && (l.score ?? 0) >= QUALIFIED_SCORE,\n );\n\n if (leads.length === 0) {\n return (\n

\n No leads yet — here's what scored leads look like.\n

\n {SAMPLE_LEADS.map((s) => )}\n

\n );\n }\n\n return (\n

\n {recent.length} {recent.length === 1 ? \"lead\" : \"leads\"} this week\n {qualified.length > 0 && ` · ${qualified.length} qualified`}\n

\n\n {recent.map((l) => )}\n\n {earlier.length > 0 && (\n

\n Earlier · {earlier.length} {earlier.length === 1 ? \"lead\" : \"leads\"}\n

\n {earlier.map((l) => (\n \n ))}\n

\n )}\n

\n );\n}\n",[],[195,286,303],"5bb7a25e-9b35-4231-9185-dc4dc06f3cdb","App.tsx","82622adc-7cae-11f1-af2f-1607ee4eb77e",["D",1783725093024],2,"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\nimport { type Lead } from \"../../shared/types.ts\";\nimport { Dashboard } from \"./Dashboard.tsx\";\nimport { LeadDetail } from \"./LeadDetail.tsx\";\nimport { GithubTester } from \"./GithubTester.tsx\";\n\nexport function App(\n { initialLeads = [], webhookUrl = \"\", username = null }: {\n initialLeads?: Lead[];\n webhookUrl?: string;\n username?: string | null;\n },\n) {\n const [leads, setLeads] = React.useState(initialLeads);\n const [selectedId, setSelectedId] = React.useState(null);\n\n const refresh = React.useCallback(async () => {\n try {\n const res = await fetch(\"/api/leads\");\n if (res.ok) setLeads(await res.json());\n } catch (err) {\n console.error(\"Failed to refresh leads\", err);\n }\n }, []);\n\n // Poll only while something is still being researched.\n const hasProcessing = leads.some((l) => l.status === \"processing\");\n React.useEffect(() => {\n if (!hasProcessing) return;\n const timer = setInterval(refresh, 3000);\n return () => clearInterval(timer);\n }, [hasProcessing, refresh]);\n\n const selected = leads.find((l) => l.id === selectedId) ?? null;\n\n return (\n

\n {selected\n ? setSelectedId(null)} />\n : (\n <>\n

GitHub Leads

\n {username && (\n \n {username} ·{\" \"}\n \n \n )}\n

\n \n \n \n )}\n \n

\n );\n}\n",[],[195,286,310],"9e2bd10f-7d2a-464e-b45d-037986304901",113,["D",1783722437854],[225,226,227,228,229],[195,286],["D",1783722422595],[224,230,231],[195],"db78c653-e245-4201-8a6d-437ba72c44ff","notify.ts","5a4b0398-7cae-11f1-b950-1607ee4eb77e",107,["D",1783722370612],"import { httpEndpoint } from \"https://esm.town/v/std/utils/index.ts\";\nimport { IncomingWebhook } from \"npm:@slack/webhook\";\nimport { LeadOutput, QUALIFIED_SCORE } from \"../shared/types.ts\";\n\n// Set the SLACK_WEBHOOK_URL env var to get a Slack message the moment a lead\n// scores as qualified. Without it, this is a no-op.\n// https://docs.val.town/guides/slack/send-messages-to-slack/\nexport async function notifySlack(output: LeadOutput) {\n const webhookUrl = Deno.env.get(\"SLACK_WEBHOOK_URL\");\n if (!webhookUrl) return;\n if (typeof output.score !== \"number\" || output.score < QUALIFIED_SCORE) return;\n\n // Best-effort: a Slack hiccup should never fail (or retry) the lead scoring.\n try {\n const dashboardUrl = await httpEndpoint(\"main.ts\", import.meta.url);\n const who = [output.name, output.company].filter(Boolean).join(\" · \");\n await new IncomingWebhook(webhookUrl).send({\n text: [\n `🎯 Qualified lead (${output.score}): *${who || \"Unknown\"}*`,\n output.reasoning,\n `<${dashboardUrl}|Open dashboard>`,\n ].filter(Boolean).join(\"\\n\"),\n });\n } catch (err) {\n console.error(\"Slack notification failed:\", err);\n }\n}\n",[],[201,326],"297c7ba7-27a8-4dea-bc55-34c1ecda923b","index.ts","72e001e2-7cae-11f1-aed8-1607ee4eb77e",["D",1783724582527],"import { getOAuthUserData } from \"https://esm.town/v/std/oauth/middleware.ts\";\nimport { parseVal, readFile, serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { Hono } from \"npm:hono@4\";\nimport { toClientLead } from \"../shared/types.ts\";\nimport { processLead } from \"./agent.ts\";\nimport { claimLead, createProcessingLead, getAllLeads, getLeadById } from \"./db.ts\";\nimport { requireOrgMember } from \"./auth.tsx\";\n\nconst app = new Hono();\n\n// Unwrap Hono errors so the platform surfaces the real error, not \"Internal Server Error\"\napp.onError((err) => Promise.reject(err));\n\n// Serialize every lead the same way for both the initial page load and the API.\nasync function clientLeads() {\n const now = Date.now();\n const rows = await getAllLeads();\n return rows.map((row) => toClientLead(row, now));\n}\n\n// ── Public webhook endpoints (no auth) ──\n\napp.post(\"/\", async (c) => {\n let body: Record;\n try {\n body = await c.req.json();\n } catch {\n return c.json({ ok: false, error: \"Request body must be valid JSON\" }, 400);\n }\n const url = new URL(c.req.url);\n const query = Object.fromEntries(url.searchParams);\n const inputData = Object.keys(query).length ? { ...body, _query: query } : body;\n\n // Create the lead immediately in a processing state and respond fast.\n const leadId = await createProcessingLead(inputData);\n\n // Fire-and-forget the slow scoring in a separate request.\n // https://docs.val.town/vals/http/early-return/\n fetch(`${url.origin}/process`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ leadId }),\n });\n\n return c.json({ ok: true, leadId });\n});\n\napp.post(\"/process\", async (c) => {\n const { leadId } = await c.req.json();\n // This route is public (registered before the auth guard) so POST / can call\n // it fire-and-forget. The atomic claim means each lead is scored exactly\n // once, and the input comes from the DB row — not the request — so this\n // can't be used to re-score, overwrite, or feed the agent forged data.\n if (!(await claimLead(leadId))) return c.json({ ok: false }, 409);\n const lead = await getLeadById(leadId);\n await processLead(leadId, JSON.parse(lead!.input_data));\n return c.json({ ok: true });\n});\n\napp.get(\"/source\", (c) => c.redirect(parseVal().links.self.val));\n\n// ── Everything below requires an org member (the template preview allows GET) ──\napp.use(\"/*\", requireOrgMember);\n\n// Serve the React dashboard, bootstrapping the leads into the HTML so the list\n// paints immediately instead of flashing empty while the first fetch runs.\napp.get(\"/\", async (c) => {\n let html = await readFile(\"/frontend/index.html\");\n const session = await getOAuthUserData(c.req.raw);\n const data = {\n initialLeads: await clientLeads(),\n webhookUrl: new URL(c.req.url).origin,\n username: session?.user?.username ?? null,\n };\n // Escape \"<\" so lead content containing \"\" can't terminate the tag\n // early (which dumps raw JSON into the page and breaks hydration).\n const json = JSON.stringify(data).replace(/window.__INITIAL_DATA__ = ${json}`;\n html = html.replace(\"\", `${script}`);\n return c.html(html);\n});\n\n// JSON endpoint the frontend polls while leads are still processing.\napp.get(\"/api/leads\", async (c) => c.json(await clientLeads()));\n\n// Serve the frontend modules (/public/**) and shared types (/shared/**).\napp.get(\"/public/**/*\", (c) => serveFile(c.req.path.replace(\"/public\", \"/frontend\")));\napp.get(\"/shared/**/*\", (c) => serveFile(c.req.path));\n\nexport default app;\n",[],[201,334],"6123db91-f115-4486-8ffd-444b454fa80a","db.ts","52aba23c-7cae-11f1-a02d-1607ee4eb77e",["D",1783724582527],"import sqlite from \"https://esm.town/v/std/db/main.ts\";\nimport { CLAIMED_OUTPUT } from \"../shared/types.ts\";\n\nconst TABLE_NAME = \"leads\";\n\nawait createTable();\n\nexport interface Lead {\n id: number;\n timestamp: number;\n input_data: string;\n output_data: string;\n}\n\nexport async function createProcessingLead(\n inputData: Record,\n): Promise {\n const result = await sqlite.execute(\n `INSERT INTO ${TABLE_NAME} (timestamp, input_data, output_data)\n VALUES (?, ?, ?)`,\n [Date.now(), JSON.stringify(inputData), \"\"],\n );\n return Number(result.lastInsertRowid);\n}\n\n// Atomically claim a just-created lead for scoring. Returns false if the\n// lead doesn't exist or was already claimed/finished, so concurrent /process\n// calls can't double-score (and double-spend on) the same lead.\nexport async function claimLead(id: number): Promise {\n const result = await sqlite.execute(\n `UPDATE ${TABLE_NAME} SET output_data = ? WHERE id = ? AND output_data = ''`,\n [CLAIMED_OUTPUT, id],\n );\n return result.rowsAffected > 0;\n}\n\nexport async function updateLeadOutput(\n id: number,\n outputData: Record,\n) {\n await sqlite.execute(\n `UPDATE ${TABLE_NAME} SET output_data = ? WHERE id = ?`,\n [JSON.stringify(outputData), id],\n );\n}\n\nexport async function getAllLeads(): Promise {\n const result = await sqlite.execute(\n `SELECT * FROM ${TABLE_NAME} ORDER BY timestamp DESC`,\n );\n return rowsToLeads(result);\n}\n\nexport async function getLeadById(id: number): Promise {\n const result = await sqlite.execute(\n `SELECT * FROM ${TABLE_NAME} WHERE id = ?`,\n [id],\n );\n const leads = rowsToLeads(result);\n return leads[0] || null;\n}\n\n// Find an existing lead by the github_username stored in its input, so the\n// GitHub cron appends new activity to the same person instead of creating a\n// duplicate lead.\nexport async function findLeadByGithubUsername(\n login: string,\n): Promise {\n const result = await sqlite.execute(\n `SELECT * FROM ${TABLE_NAME}\n WHERE json_extract(input_data, '$.github_username') = ?`,\n [login],\n );\n const leads = rowsToLeads(result);\n return leads[0] || null;\n}\n\n// Append new GitHub events to an existing lead's input, deduplicated by\n// event id so repeat sweeps don't grow the lead unboundedly.\nexport async function appendFollowup(\n id: number,\n newEvents: Array<{ id?: string }>,\n) {\n const lead = await getLeadById(id);\n if (!lead) return;\n const input = JSON.parse(lead.input_data);\n const events: Array<{ id?: string }> = Array.isArray(input.events) ? input.events : [];\n const existingIds = new Set(events.map((e) => e.id).filter(Boolean));\n events.push(...newEvents.filter((e) => !e.id || !existingIds.has(e.id)));\n await sqlite.execute(\n `UPDATE ${TABLE_NAME} SET input_data = ? WHERE id = ?`,\n [JSON.stringify({ ...input, events }), id],\n );\n}\n\nfunction rowsToLeads(result: { columns: string[]; rows: unknown[] }): Lead[] {\n return result.rows.map((row: any) => {\n const obj: Record = {};\n result.columns.forEach((col, idx) => {\n obj[col] = row[idx];\n });\n return obj as Lead;\n });\n}\n\nasync function createTable() {\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS ${TABLE_NAME} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n timestamp INTEGER NOT NULL,\n input_data TEXT NOT NULL,\n output_data TEXT NOT NULL\n )`,\n );\n}\n\nexport function isProcessing(lead: Lead): boolean {\n return lead.output_data === \"\" || lead.output_data === CLAIMED_OUTPUT;\n}\n\nexport function isFailed(lead: Lead): boolean {\n if (isProcessing(lead)) return false;\n try {\n return Boolean(JSON.parse(lead.output_data).error);\n } catch {\n return true;\n }\n}\n",[],[201,341],"fcf76045-e5c1-4a27-9591-87c38b079a37","auth.tsx","6b89867a-7cae-11f1-b5b0-1607ee4eb77e",109,["D",1783722399530],"/** @jsxImportSource npm:hono@4/jsx */\nimport { getOAuthUserData } from \"https://esm.town/v/std/oauth/middleware.ts\";\nimport { parseVal } from \"https://esm.town/v/std/utils/index.ts\";\n\n// The template's own live preview (owned by the \"templates\" org) is publicly\n// viewable. Your remix is owned by your org, so it requires login.\nconst IS_TEMPLATE_PREVIEW = parseVal().username === \"templates\";\n\n// Auth guard for the dashboard routes. Register the public webhook routes\n// (POST / and /process) BEFORE this so external systems can submit leads\n// without logging in.\nexport async function requireOrgMember(c: any, next: any) {\n if (IS_TEMPLATE_PREVIEW && c.req.method === \"GET\") return next();\n const session = await getOAuthUserData(c.req.raw);\n if (!session) return c.html();\n if (!session.isOrgMember) {\n return c.html(, 403);\n }\n await next();\n}\n\nfunction Shell({ title, children }: { title: string; children: any }) {\n return (\n \n \n \n \n {title}\n \n \n \n

\n {children}\n

\n \n \n );\n}\n\nfunction LoginPage() {\n return (\n \n

🔒

GitHub Leads Dashboard

\n \n $\"\"$ \n Sign in with Val Town\n \n

\n \n );\n}\n\nfunction UnauthorizedPage({ username }: { username: string }) {\n return (\n \n

⛔

Access Denied

\n You must be a member of this val's organization to view the dashboard.\n

\n Logged in as {username}\n

\n \n );\n}\n",[],[201,348],"6f03c74e-41d9-4f67-a22e-2ee4627684e2","agent.ts","5ffdc05a-7cae-11f1-ab77-1607ee4eb77e",140,["D",1783725440312],"import { ValTownOpenAI } from \"https://esm.town/v/std/openai/main.ts\";\nimport { readFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { enrich } from \"https://esm.town/v/valdottown/peopledatalabs/sdk.ts\";\nimport OpenAI from \"npm:openai\";\nimport { updateLeadOutput } from \"./db.ts\";\nimport { notifySlack } from \"./notify.ts\";\n\n// Uses Val Town's built-in OpenAI proxy, so no API key setup is needed.\n// If you hit its rate limits, set the OPENAI_API_KEY env var to use your\n// own OpenAI account instead.\nconst apiKey = Deno.env.get(\"OPENAI_API_KEY\");\nconst openai = apiKey ? new OpenAI({ apiKey }) : new ValTownOpenAI({});\n\nconst PROMPT = await readFile(\"/PROMPT.md\");\n\n// Enrichment (person, LinkedIn, company, work history) via Val Town's\n// People Data Labs proxy. Pro accounts get $10/month included; free accounts\n// get 2 ever, then fall back to web search alone.\nasync function enrichLead(inputData: Record) {\n if (!inputData.email && !inputData.github_username) return {};\n try {\n const { data } = await enrich({\n email: inputData.email as string | undefined,\n github_username: inputData.github_username as string | undefined,\n });\n return data ? { enrichment: data } : {};\n } catch (err) {\n if (err.status === 401 || err.status === 403 || err.status === 429) {\n return {\n enrichmentNote:\n \"Enrichment quota reached — Val Town Pro includes $10/month (https://www.val.town/pricing)\",\n };\n }\n console.error(\"Enrichment failed:\", err);\n return { enrichmentNote: `Enrichment failed: ${err.message}` };\n }\n}\n\nexport async function processLead(\n leadId: number,\n inputData: Record,\n) {\n try {\n const { enrichment, enrichmentNote } = await enrichLead(inputData);\n const response = await openai.responses.create({\n model: \"gpt-5\",\n tools: [{ type: \"web_search\" }],\n instructions: PROMPT,\n input: JSON.stringify(enrichment ? { ...inputData, enrichment } : inputData),\n });\n if (response.status !== \"completed\") {\n throw new Error(`Model response ${response.status}: ${JSON.stringify(response.incomplete_details)}`);\n }\n // The prompt asks for bare JSON, but models sometimes wrap it in ```json fences\n const json = response.output_text.replace(/^\\s*```(?:json)?\\s*|\\s*```\\s*$/g, \"\");\n const outputData = { ...JSON.parse(json), ...(enrichmentNote && { enrichmentNote }) };\n await updateLeadOutput(leadId, outputData);\n await notifySlack(outputData);\n return { outputData };\n } catch (err) {\n // Record the failure so the dashboard shows it immediately instead of\n // spinning until the timeout. Log first so the root cause survives even if\n // this DB write itself throws.\n console.error(`Lead ${leadId} failed:`, err);\n const error = err instanceof Error ? err.message : String(err);\n await updateLeadOutput(leadId, { error });\n throw err;\n }\n}\n",[],[201,356],["D",1783722357816],[218,219,220,221,222],[201],["D",1767974365657],["D",1789455078571],{"_103":102,"_111":107},{"_103":102,"_104":105,"_106":107,"_18":-5,"_108":109,"_110":59},{"_13":89,"_32":90,"_42":41,"_91":43,"_92":93,"_94":95,"_96":49,"_97":98,"_99":65,"_100":44,"_101":102},"ctx",{"_82":-5,"_133":404,"_405":406,"_407":408,"_409":25,"_410":25,"_411":25,"_412":59,"_413":-5,"_414":-7,"_415":-7,"_416":191,"_417":25,"_418":25,"_419":-5,"_420":25,"_421":25,"_422":25,"_423":-5},"ENV",{"_375":376,"_377":378,"_379":90,"_380":381,"_382":383,"_384":385,"_386":387,"_388":389,"_390":391,"_392":393,"_394":395,"_396":397,"_398":399,"_400":401,"_402":403},"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 · v142