\n \n Simulate Activity:\n \n @\n \n \n {ACTIVITY_TYPES.map((type) => (\n \n ))}\n \n \n Run\n \n \n

\n\n \n

\n );\n}","deleted","label",[140],"7184ceb0-f0bb-11f0-9abf-42dde27851f2","main.ts",1,["D",1768334830137],0,"http","import { Hono } from \"npm:hono@4\";\nimport { processLead, reanalyzeLead } from \"./agent.ts\";\nimport { app as dashboard } from \"./dashboard.tsx\";\nimport { handleTestRequest } from \"./welcome-ui.tsx\";\n\nconst app = new Hono();\n\napp.post(\"/\", async (c) => {\n // Early API key check to avoid confusing when using the tester ui\n if (!Deno.env.get(\"OPENAI_API_KEY\")) {\n return c.json(\n { error: \"Add OPENAI_API_KEY in Environment Variables\" },\n 503,\n );\n }\n\n const body = await c.req.json();\n const url = new URL(c.req.url);\n const query = Object.fromEntries(url.searchParams);\n const inputData = Object.keys(query).length\n ? { ...body, _query: query }\n : body;\n\n // Fire-and-forget request for quick response and processing in another 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(inputData),\n });\n\n return c.json({ ok: true });\n});\n\napp.post(\"/process\", async (c) => {\n const inputData = await c.req.json();\n await processLead(inputData);\n return c.json({ ok: true });\n});\n\n// Test endpoint for the welcome UI\napp.post(\"/test\", async (c) => {\n if (!Deno.env.get(\"OPENAI_API_KEY\")) {\n return c.json(\n { error: \"Add OPENAI_API_KEY in Environment Variables\" },\n 503,\n );\n }\n return handleTestRequest(c.req.raw);\n});\n\n// Reanalyze a lead\napp.post(\"/lead/:id/reanalyze\", async (c) => {\n if (!Deno.env.get(\"OPENAI_API_KEY\")) {\n return c.json(\n { error: \"Add OPENAI_API_KEY in Environment Variables\" },\n 503,\n );\n }\n \n const id = parseInt(c.req.param(\"id\"));\n if (isNaN(id)) {\n return c.json({ error: \"Invalid lead ID\" }, { status: 400 });\n }\n \n try {\n const result = await reanalyzeLead(id);\n return c.json({ ok: true, ...result });\n } catch (error) {\n return c.json({ error: error.message }, { status: 500 });\n }\n});\n\napp.route(\"/\", dashboard);\n\nexport default app.fetch;\n",[158],"70544aa4-f0be-11f0-abf8-42dde27851f2","github.cron.ts","019bb8f8-2a91-76be-aa9f-45c2421e83e8",13,["D",1768336116741],"interval","import { processLead } from \"./agent.ts\";\nimport { appendFollowup, findLeadByInputPath } from \"./db.ts\";\nimport { Octokit } from \"npm:octokit@5.0.5\";\n\nexport const GITHUB_ORG = \"val-town\";\n\nexport default async function (interval: Interval) {\n const lastChecked = /*interval.lastRunAt ??*/ new Date(0);\n\n const octokit = new Octokit({ auth: Deno.env.get(\"GITHUB_TOKEN\") });\n const recentEvents = await octokit.paginate(\n octokit.rest.activity.listPublicOrgEvents,\n { org: GITHUB_ORG, per_page: 100 },\n );\n\n const newEvents = recentEvents\n .filter((e: any) => new Date(e.created_at) > lastChecked)\n .filter((e: any) => e.actor?.login && !e.actor?.login.includes(\"[bot]\"));\n console.log(`Processing ${newEvents.length} new events`);\n\n const actorEvents = Map.groupBy(newEvents, (e) => e.actor.login);\n console.log(`Found ${actorEvents.size} users`);\n\n await Promise.all(\n Array.from(actorEvents, async ([login, events]) => {\n const existingLead = await findLeadByInputPath(\"actor.login\", login);\n if (existingLead) {\n await appendFollowup(existingLead.id, events);\n } else {\n await processLead(events);\n }\n }),\n );\n}",[166],"5e59a0b0-f0be-11f0-b50f-42dde27851f2","digest.ts","019bb8f8-2a91-76be-aa9f-42315a3e2f9b",12,["D",1768336086580],"import { email } from \"https://esm.town/v/std/email\";\nimport { httpEndpoint } from \"https://esm.town/v/std/utils/index.ts\";\nimport { getAllLeads } from \"./db.ts\";\n\n// ============================================================================\n// CONFIGURE: Add email addresses to receive the daily digest\n// ============================================================================\nconst RECIPIENTS = [\n // \"steve@val.town\",\n // \"charlie@val.town\",\n];\n\nfunction getSource(inputData) {\n const input = typeof inputData === \"string\"\n ? JSON.parse(inputData)\n : inputData;\n const first = Array.isArray(input) ? input[0] : input;\n if (first?.actor?.login) return \"github\";\n if (first?._query?.source) return first._query.source;\n return null;\n}\n\nfunction getRepos(inputData): string[] {\n const input = typeof inputData === \"string\"\n ? JSON.parse(inputData)\n : inputData;\n const events = Array.isArray(input) ? input : [input];\n const repos = new Set();\n for (const event of events) {\n if (event?.repo?.name) {\n repos.add(event.repo.name);\n }\n }\n return Array.from(repos);\n}\n\nfunction formatHTML(matches, dashboardUrl) {\n const typeStyles: Record = {\n customer: { bg: \"#d1fae5\", color: \"#047857\" },\n hire: { bg: \"#ede9fe\", color: \"#6d28d9\" },\n };\n\n const rows = matches.map((l) => {\n const scoreDisplay = l.score\n ? `${l.score}`\n : \"\";\n\n const leadTypesDisplay = l.leadTypes && l.leadTypes.length > 0\n ? l.leadTypes.map((type: string) => {\n const style = typeStyles[type] || { bg: \"#f3f4f6\", color: \"#374151\" };\n return `${type}`;\n }).join(\"\")\n : \"\";\n\n const sourceTag = l.source\n ? `${l.source}`\n : \"\";\n\n const reposDisplay = l.repos && l.repos.length > 0\n ? `

${\n l.repos.map((repo: string) =>\n `📦 ${\n repo.split(\"/\")[1]\n }`\n ).join(\"\")\n }

`\n : \"\";\n\n return `\n \n \n

\n ${scoreDisplay}${l.name} ${leadTypesDisplay}${sourceTag}\n

\n ${l.reasoning}\n

\n ${reposDisplay}\n \n \n `;\n }).join(\"\");\n\n return `\n \n \n \n \n

🎯 ${matches.length} Qualified Lead${\n matches.length !== 1 ? \"s\" : \"\"\n }

\n \n \n ${rows}\n \n

\n View dashboard\n

\n \n \n `;\n}\n\nexport default async function (interval?: { lastRunAt?: Date }) {\n console.log(\"interval received:\", JSON.stringify(interval));\n\n if (RECIPIENTS.length === 0) {\n console.log(\"No RECIPIENTS configured in digest.ts, skipping email\");\n return { sent: false, reason: \"no_recipients\" };\n }\n\n const dashboardUrl = await httpEndpoint(\"main.ts\", import.meta.url);\n const since = interval?.lastRunAt?.getTime() ??\n Date.now() - 24 * 60 * 60 * 1000;\n\n console.log(\"looking back to:\", new Date(since).toISOString());\n\n const leads = await getAllLeads();\n console.log(\"total leads in db:\", leads.length);\n\n const matches = leads\n .filter((l) => l.timestamp > since)\n .filter((l) => JSON.parse(l.output_data).match)\n .map((l) => ({\n id: l.id,\n source: getSource(l.input_data),\n repos: getRepos(l.input_data),\n ...JSON.parse(l.output_data),\n }))\n .sort((a, b) => (b.score ?? 0) - (a.score ?? 0));\n\n console.log(\"matches found:\", matches.length);\n\n if (matches.length === 0) {\n console.log(\"No matches since\", new Date(since).toISOString());\n return { sent: false };\n }\n\n const subject = `🎯 ${matches.length} Qualified Lead${\n matches.length !== 1 ? \"s\" : \"\"\n }`;\n await email({\n to: RECIPIENTS,\n subject,\n html: formatHTML(matches, dashboardUrl),\n });\n\n console.log(\n `Sent digest: ${matches.length} leads to ${RECIPIENTS.join(\", \")}`,\n );\n return { sent: true, count: matches.length };\n}",[174],"54c079c0-f0be-11f0-8977-42dde27851f2","db.ts","019bb8f8-2a91-76be-aa9f-3d6421c4718a",11,["D",1768336070476],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\n\nconst TABLE_NAME = \"github_hires_v1\";\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 storeLead(\n inputData: Record | Record[],\n outputData: Record,\n) {\n // Always store as array\n const inputArray = Array.isArray(inputData) ? inputData : [inputData];\n await sqlite.execute(\n `INSERT INTO ${TABLE_NAME} (timestamp, input_data, output_data)\n VALUES (?, ?, ?)`,\n [Date.now(), JSON.stringify(inputArray), JSON.stringify(outputData)],\n );\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 result.rows as unknown as Lead[];\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 return result.rows[0] as unknown as Lead;\n}\n\nexport async function findLeadByInputPath(\n path: string,\n value: string,\n): Promise {\n const leads = await getAllLeads();\n return leads.find((lead) => {\n const input = JSON.parse(lead.input_data);\n // Check first event in array for the path\n const firstEvent = Array.isArray(input) ? input[0] : input;\n return path.split(\".\").reduce((obj, key) => obj?.[key], firstEvent) ===\n value;\n }) || null;\n}\n\nexport async function appendFollowup(\n id: number,\n data: Record | Record[],\n) {\n const lead = await getLeadById(id);\n const input = JSON.parse(lead!.input_data);\n const events = Array.isArray(input) ? input : [input];\n if (Array.isArray(data)) events.push(...data);\n else events.push(data);\n await sqlite.execute(\n `UPDATE ${TABLE_NAME} SET input_data = ? WHERE id = ?`,\n [JSON.stringify(events), id],\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}",[181],"bae869d4-f0bd-11f0-9748-42dde27851f2","dashboard.tsx","019bb8f8-2a91-76be-aa9f-3b7a5a226b3d",["D",1768335812362],"/** @jsxImportSource npm:hono@4/jsx */\nimport { Hono } from \"npm:hono@4\";\nimport { getAllLeads, getLeadById, Lead } from \"./db.ts\";\nimport { WelcomePanel } from \"./welcome-ui.tsx\"; // DELETE THIS LINE to remove onboarding UI\nimport { marked } from \"npm:marked@11\";\n\nexport const app = new Hono();\n\nfunction getRepos(input: unknown): string[] {\n const events = Array.isArray(input) ? input : [input];\n const repos = new Set();\n for (const event of events) {\n if (event?.repo?.name) {\n repos.add(event.repo.name);\n }\n }\n return Array.from(repos);\n}\n\nfunction getSource(input: unknown): string | null {\n const first = Array.isArray(input) ? input[0] : input;\n if (first?.actor?.login) return \"github\";\n if (first?._query?.source) return first._query.source;\n return null;\n}\n\nfunction getUsername(input: unknown): string | null {\n const first = Array.isArray(input) ? input[0] : input;\n return first?.actor?.login || null;\n}\n\nfunction ReposList({ repos }: { repos: string[] }) {\n if (repos.length === 0) return null;\n return (\n

\n Repositories ({repos.length})\n

\n {repos.map((repo) => (\n \n \n {repo}\n \n ))}\n

\n );\n}\n\nfunction Layout({ children, title }: { children: any; title: string }) {\n return (\n \n \n \n \n {title}\n \n \n \n {children}\n \n );\n}\n\nfunction SourceBadge({ source }: { source: string | null }) {\n if (!source) return null;\n\n if (source === \"github\") {\n return (\n \n \n GitHub\n \n );\n }\n\n return (\n \n {source}\n \n );\n}\n\nfunction ScoreBadge({ score }: { score?: number }) {\n if (score === undefined || score === null) return null;\n\n const color = score >= 70\n ? \"bg-blue-100 text-blue-700\"\n : score >= 50\n ? \"bg-amber-100 text-amber-700\"\n : \"bg-gray-100 text-gray-500\";\n\n return (\n \n {score}\n \n );\n}\n\nfunction LeadTypeBadges({ leadTypes }: { leadTypes?: string[] }) {\n if (!leadTypes || leadTypes.length === 0) return null;\n\n const typeStyles: Record = {\n customer: \"bg-emerald-100 text-emerald-700\",\n hire: \"bg-purple-100 text-purple-700\",\n };\n\n return (\n <>\n {leadTypes.map((type) => (\n \n {type}\n \n ))}\n \n );\n}\n\nfunction LeadRow({ lead, isMatch }: { lead: Lead; isMatch: boolean }) {\n const output = JSON.parse(lead.output_data);\n const input = JSON.parse(lead.input_data);\n const eventCount = Array.isArray(input) ? input.length : 1;\n const source = getSource(input);\n const date = new Date(lead.timestamp).toLocaleDateString(\"en-US\", {\n month: \"short\",\n day: \"numeric\",\n year: \"numeric\",\n });\n\n return (\n \n \n \n \n {output.name || \"Unknown\"}\n \n \n \n {eventCount > 1 && (\n \n {eventCount}\n \n )}\n {date}\n \n );\n}\n\nconst Arrow = () => (\n \n \n \n);\n\nfunction DataValue(\n { value, path, keyName }: { value: unknown; path: string; keyName?: string },\n) {\n if (value === null || value === undefined) {\n return (\n \n {keyName && {keyName}:}\n null\n \n );\n }\n\n if (typeof value !== \"object\") {\n return (\n \n {keyName && {keyName}:}\n {String(value)}\n \n );\n }\n\n if (Array.isArray(value)) {\n if (value.length === 0) {\n return (\n \n {keyName && {keyName}:}\n []\n \n );\n }\n const id = `arr-${path}`;\n return (\n

\n \n \n {keyName && {keyName}}\n [{value.length}]\n

\n {value.map((item, idx) => (\n

\n \n

\n ))}\n

\n \n );\n }\n\n const entries = Object.entries(value);\n if (entries.length === 0) {\n return (\n \n {keyName && {keyName}:}\n {\"{}\"}\n \n );\n }\n const id = `obj-${path}`;\n return (\n

\n \n \n {keyName && {keyName}}\n {`{${entries.length}}`}\n

\n {entries.map(([k, v]) => (\n

\n \n

\n ))}\n

\n \n );\n}\n\nfunction DataTable({ title, data }: { title: string; data: unknown }) {\n if (data === null || data === undefined) return null;\n\n if (Array.isArray(data)) {\n return (\n

\n {title} ({data.length})\n

\n {data.map((item, idx) => (\n

Event {idx + 1}

\n {Object.entries(item).map(([k, v]) => (\n

\n \n

\n ))}\n

\n );\n }\n\n const entries = Object.entries(data as Record);\n if (entries.length === 0) return null;\n\n return (\n

\n {title}\n

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

\n \n

\n ))}\n

\n );\n}\n\napp.get(\"/\", async (c) => {\n const leads = await getAllLeads();\n const baseUrl = new URL(c.req.url).origin;\n const testEndpoint = `${baseUrl}/test`;\n\n const matches = leads.filter((l) => JSON.parse(l.output_data).match === true);\n const nonMatches = leads.filter((l) =>\n JSON.parse(l.output_data).match !== true\n );\n\n return c.html(\n \n

\n \n\n

GitHub Leads

\n \n view source\n \n

\n {leads.length} leads · {matches.length} matches\n

\n\n {leads.length === 0\n ? (\n

\n No leads yet. Configure your GitHub org and wait for activity, or\n use \"Try It Out\" above.\n

\n )\n : (\n

\n {matches.map((lead) => )}\n\n {nonMatches.length > 0 && (\n

\n \n {nonMatches.length} not matched\n v\n \n

\n {nonMatches.map((lead) => (\n \n ))}\n

\n )}\n

\n ,\n );\n});\n\napp.get(\"/lead/:id\", async (c) => {\n const id = parseInt(c.req.param(\"id\"));\n const lead = await getLeadById(id);\n\n if (!lead) {\n return c.html(\n \n

Lead Not Found

\n \n ← Back\n \n

\n ,\n 404,\n );\n }\n\n const input = JSON.parse(lead.input_data);\n const output = JSON.parse(lead.output_data);\n const repos = getRepos(input);\n const source = getSource(input);\n const username = getUsername(input);\n\n return c.html(\n \n

\n \n ← Back\n \n\n

\n {output.name || \"Unknown\"}\n

\n \n \n \n

\n {username && (\n \n @{username}\n \n )}\n

\n {new Date(lead.timestamp).toLocaleString()}\n {output.cost != null && ` · ${output.cost.toFixed(4)}`}\n

\n\n {/* Result Summary */}\n \n

\n \n \n {output.match ? \"Match\" : \"No Match\"}\n \n

\n \n

\n\n {/* Reanalyze Button */}\n

\n location.reload())`}\n class=\"px-4 py-2 bg-gray-100 hover:bg-gray-200 text-gray-700 border border-gray-200 disabled:opacity-50 font-medium rounded-lg text-sm\"\n >\n Reanalyze\n \n

\n\n {/* GitHub Repositories */}\n \n\n {/* AI Output first */}\n \n\n {/* Input Data second */}\n \n \n ,\n );\n});\n\nexport default app.fetch;",[188],"f2c8ac58-222a-11f1-a553-42dde27851f2","agent.ts","019bb8f8-2a91-76be-aa9f-36595f9e55e6",["D",1773770328171],"import { readFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { Agent, run, RunResult, webSearchTool } from \"npm:@openai/agents@0.7\";\nimport { getLeadById, storeLead, updateLeadOutput } from \"./db.ts\";\n\nconst PROMPT = await readFile(\"/PROMPT.txt\");\nconst agent = new Agent({\n name: \"Researcher\",\n model: \"gpt-5\",\n tools: [webSearchTool()],\n instructions: PROMPT,\n});\n\nfunction calculateCost(result: RunResult): number {\n // GPT-5 pricing (verified rates as of January 2026)\n const COST_PER_INPUT_TOKEN = 0.00000125; // $1.25 per 1M tokens\n const COST_PER_CACHED_INPUT_TOKEN = 0.000000125; // $0.125 per 1M tokens (90% discount)\n const COST_PER_OUTPUT_TOKEN = 0.00001; // $10 per 1M tokens\n\n const usage = result.state._context.usage;\n const inputTokens = usage.inputTokens || 0;\n const cachedInputTokens = usage.inputTokensDetails[0].cached_tokens || 0;\n const outputTokens = usage.outputTokens || 0;\n\n console.log(\"result.state\", result.state);\n console.log(\"result.state._context.usage\", usage);\n\n // Calculate cost: subtract cached tokens from regular input if both are provided\n const regularInputTokens = inputTokens - cachedInputTokens;\n const cost = (regularInputTokens * COST_PER_INPUT_TOKEN) +\n (cachedInputTokens * COST_PER_CACHED_INPUT_TOKEN) +\n (outputTokens * COST_PER_OUTPUT_TOKEN);\n\n console.log(\"Cost breakdown:\", {\n regularInputTokens,\n cachedInputTokens,\n outputTokens,\n cost,\n });\n\n return cost;\n}\n\nasync function analyzeLead(inputData: any) {\n const result = await run(agent, JSON.stringify(inputData));\n const outputData = JSON.parse(result.finalOutput);\n outputData.cost = calculateCost(result);\n return outputData;\n}\n\nexport async function processLead(inputData: any) {\n const outputData = await analyzeLead(inputData);\n await storeLead(inputData, outputData);\n console.log(outputData);\n return { outputData };\n}\n\nexport async function reanalyzeLead(id: number) {\n const lead = await getLeadById(id);\n if (!lead) throw new Error(`Lead ${id} not found`);\n\n const outputData = await analyzeLead(lead.input_data);\n await updateLeadOutput(id, outputData);\n return { outputData };\n}",[194],"deeceb94-f0bc-11f0-aceb-42dde27851f2","README.md","019bb8f8-2a91-76be-aa9f-33b90c65ae6c",["D",1768335443298],"# GitHub Hires\n\nFind engineering candidates from GitHub activity. Monitor repos for stars, forks, issues, and PRs — then use AI to qualify candidates automatically.\n\n![image.png](https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/fa6f2423-2001-4c80-c5fb-7a85e1b47100/public)\n\n## What this does\n\n1. A cron job monitors public activity on your GitHub org\n2. When someone stars, forks, or opens an issue/PR, they're captured\n3. An AI agent researches the person and scores them as a candidate\n4. Qualified candidates appear in your dashboard with periodic digest emails\n\n## Getting started\n\n1. Click [**Remix**](/?intent=remix)\n2. Add environment variables:\n - `OPENAI_API_KEY` — for AI candidate qualification\n - `GITHUB_TOKEN` — for accessing GitHub API\n ([create one here](https://github.com/settings/tokens))\n3. Configure your settings:\n - Edit `GITHUB_ORG` in [`github.cron.ts`](./github.cron.ts)\n - Edit `RECIPIENTS` in [`digest.ts`](./digest.ts)\n - Customize [`PROMPT.txt`](./PROMPT.txt) with your role requirements\n4. Open [`main.ts`](./main.ts) to view your dashboard\n\n**Note:** GitHub's Events API only returns the 300 most recent events per org.\n\n## How it works\n\n**GitHub Monitoring** ([`github.cron.ts`](./github.cron.ts))\n\n- Runs hourly to check for new activity on your org\n- Captures stars, forks, issues, PRs, and other public events\n- Groups events by user to avoid duplicate candidates\n\n**AI Agent** ([`agent.ts`](./agent.ts))\n\n- Researches each GitHub user's profile, repos, and linked sites\n- Uses web search to learn about their company and role\n- Scores them against your criteria in [`PROMPT.txt`](./PROMPT.txt)\n- Returns `{name, role, match, score, reasoning}`\n\n**Storage** ([`db.ts`](./db.ts))\n\n- Every candidate is stored in SQLite with columns:\n - `id` — auto-incremented\n - `timestamp` — when first seen\n - `input_data` — the GitHub event(s) that triggered it\n - `output_data` — AI result\n\n**Dashboard** ([`main.ts`](./main.ts))\n\n- Qualified candidates (match=true) appear at the top\n- Shows score and role tags (product/growth)\n- Click a candidate to see full details and GitHub activity\n\n**Email Digest** ([`digest.ts`](./digest.ts))\n\n- Sends daily emails (1pm UTC) with new qualified candidates\n- Edit `RECIPIENTS` array to configure who receives them\n\n## Customization\n\n- Edit [`PROMPT.txt`](./PROMPT.txt) to define your role requirements and ideal candidate profile\n- Adjust the GitHub sweep frequency in [`github.cron.ts`](./github.cron.ts)\n interval settings (default: hourly)\n- Adjust the email digest schedule in [`digest.ts`](./digest.ts) interval\n settings (default: daily at 1pm UTC)\n\n## Testing\n\nUse the test bar in the dashboard to evaluate any GitHub username instantly.\n",[200],"355c77f0-f0be-11f0-af6c-42dde27851f2","PROMPT.txt","019bb8f8-2a91-76be-aa9f-2c14a73040c0",10,["D",1768336017812],4,"You are a recruiting assistant for Val Town.\n\nVal Town is the most delightful way to get JavaScript running in the cloud. Customers use us to create everything \nfrom small automations to full-stack web apps. Our mission is to spread the joy of programming.\n\nWe're a small team in Brooklyn including Steve Krouse (CEO), Tom MacWright, and Brent Jackson.\n\nI'm sending you data about GitHub activity and it's your job to exhaustively research the person by visiting the links \non their GitHub profile, any company listed on their profile, searching the web for their name creatively,\nfinding their personal sites, blogs they've written, open source contributions, etc to determine if they would be a \ngood candidate for one of our open roles.\n\n## Open Roles\n\n### Product Engineer ($175k, 1% equity, Brooklyn)\n\nMust-have:\n- Modern web fundamentals: HTML, CSS, JavaScript, and comfort with TypeScript\n- Experience with a front-end framework like React\n- Ability to build and deploy full-stack features, touching the database and full-stack frameworks\n\nBonus:\n- Devtools background\n- Experience with Deno\n- Interest in writing about what you build (blog posts, tutorials) or engaging developer communities\n- Familiarity with CodeMirror\n- Experience with site-reliability (PagerDuty, Honeycomb, ClickHouse, etc.)\n\nIdeal traits:\n- Loves programming, passionate about making it delightful and accessible\n- Thrives in a startup environment, craves responsibility and ownership\n- True systems thinker who loves building applications end-to-end\n- Clear, thoughtful communicator\n\n### Growth Engineer ($175k, 1% equity, Brooklyn)\n\nMust-have:\n- Technical & product minded: comfortable writing and reading JavaScript/TypeScript, designing small web apps or APIs\n- Growth & data fluent: curious about how developers discover and adopt tools, can run A/B tests, dig into analytics (SQL, Mixpanel/Amplitude)\n- People-oriented: energized by customer conversations\n- Cross-functional operator: thrives where engineering, product, and go-to-market meet\n- Self-directed & scrappy: spots opportunities, scopes solutions, drives projects end-to-end\n\nBonus:\n- Experience at early-stage startups\n- Product-led-growth experience\n- Dev-tools background\n- Interest in writing (blog posts, tutorials)\n\n## Evaluation Criteria\n\nScore candidates 0-100 based on:\n- Technical skills match (40 points): Do they have the required technical background?\n- Cultural fit (30 points): Do they seem to love programming? Are they self-directed? Good communicator?\n- Bonus factors (20 points): Devtools experience, writing/community engagement, startup experience\n- Location/availability (10 points): Brooklyn-based or willing to relocate is ideal\n\n## Exclusions\n\nAutomatic disqualification (score = 0, match = false):\n- Current Val Town employees (Steve Krouse, Tom MacWright, Brent Jackson)\n- Anyone currently working at Val Town\n\n## Output\n\nReturn your final response in JSON only with the following schema:\n\n{\n \"name\": string,\n \"leadTypes\": string[],\n \"company\": string,\n \"match\": boolean,\n \"score\": number,\n \"reasoning\": string\n}\n\n- The \"leadTypes\" field is an array of roles they fit: [\"Product Engineer\"], [\"Growth Engineer\"], [\"Product Engineer\", \"Growth Engineer\"], or [] if neither.\n- The \"score\" field is 0-100. A score of 70+ suggests worth reaching out.\n- The \"match\" field should be true if score >= 70.\n- The \"company\" field is where they currently work.\n- For \"reasoning\", write in Markdown. Include newlines where appropriate. Explain:\n 1. What makes them a good (or poor) fit\n 2. Specific skills/experience that stand out\n 3. Any concerns or gaps\n 4. 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