{ "name": "GitHub Commit Velocity Tracker", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "weeks", "triggerAtHour": 6 } ] } }, "id": "4f76acb1-2309-44e6-acee-16abe6e0636d", "name": "Cron Trigger", "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -432, 144 ] }, { "parameters": { "path": "run-github-pipeline", "authentication": "headerAuth", "responseMode": "responseNode", "options": {} }, "id": "1a6fa06a-b1f4-4b5f-8c29-9227aa2dcc47", "name": "Manual Pipeline Webhook", "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ -432, 384 ] }, { "parameters": { "jsCode": "// Fetch Watchlist — returns the 7 AI watchlist companies.\n// Header auth on the webhook validates X-Pipeline-Secret = $env.PIPELINE_SECRET.\nconst watchlist = [\n { ticker: \"NVDA\", company: \"NVIDIA\", org: \"NVIDIA\" },\n { ticker: \"AMD\", company: \"AMD\", org: \"GPUOpen-Tools\" },\n { ticker: \"INTC\", company: \"Intel\", org: \"intel\" },\n { ticker: \"GOOGL\", company: \"Google\", org: \"google\" },\n { ticker: \"AAPL\", company: \"Apple\", org: \"apple\" },\n { ticker: \"MSFT\", company: \"Microsoft\", org: \"microsoft\" },\n { ticker: \"META\", company: \"Meta\", org: \"facebookresearch\" }\n];\n\nreturn watchlist.map((w, idx) => ({ json: { ...w, index: idx } }));" }, "id": "5131ec8c-186a-4c95-921d-c871e32ace20", "name": "Fetch Watchlist", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -192, 256 ] }, { "parameters": { "url": "https://api.github.com/orgs/NVIDIA/repos?per_page=10&sort=pushed&type=public", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "REPLACE_WITH_AUTHORIZATION" }, { "name": "User-Agent", "value": "Mycroft-Investment-Intelligence/1.0" }, { "name": "Accept", "value": "application/vnd.github+json" }, { "name": "X-GitHub-Api-Version", "value": "2022-11-28" } ] }, "options": {} }, "id": "d0e83032-227e-4b66-9002-6482e2120f53", "name": "Fetch NVIDIA GitHub", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 48, -224 ] }, { "parameters": { "url": "https://api.github.com/orgs/GPUOpen-Tools/repos?per_page=10&sort=pushed&type=public", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "REPLACE_WITH_AUTHORIZATION" }, { "name": "User-Agent", "value": "Mycroft-Investment-Intelligence/1.0" }, { "name": "Accept", "value": "application/vnd.github+json" }, { "name": "X-GitHub-Api-Version", "value": "2022-11-28" } ] }, "options": {} }, "id": "15ea6806-91f4-4882-aac5-223186ab5310", "name": "Fetch AMD GitHub", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 48, -64 ] }, { "parameters": { "url": "https://api.github.com/orgs/intel/repos?per_page=10&sort=pushed&type=public", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "REPLACE_WITH_AUTHORIZATION" }, { "name": "User-Agent", "value": "Mycroft-Investment-Intelligence/1.0" }, { "name": "Accept", "value": "application/vnd.github+json" }, { "name": "X-GitHub-Api-Version", "value": "2022-11-28" } ] }, "options": {} }, "id": "050b6bcb-7832-4e71-b76b-7eff9abc3743", "name": "Fetch Intel GitHub", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 48, 96 ] }, { "parameters": { "url": "https://api.github.com/orgs/google/repos?per_page=10&sort=pushed&type=public", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "REPLACE_WITH_AUTHORIZATION" }, { "name": "User-Agent", "value": "Mycroft-Investment-Intelligence/1.0" }, { "name": "Accept", "value": "application/vnd.github+json" }, { "name": "X-GitHub-Api-Version", "value": "2022-11-28" } ] }, "options": {} }, "id": "d1d960ba-f69f-46a1-851a-17e58f5c7905", "name": "Fetch Google GitHub", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 48, 256 ] }, { "parameters": { "url": "https://api.github.com/orgs/apple/repos?per_page=10&sort=pushed&type=public", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "REPLACE_WITH_AUTHORIZATION" }, { "name": "User-Agent", "value": "Mycroft-Investment-Intelligence/1.0" }, { "name": "Accept", "value": "application/vnd.github+json" }, { "name": "X-GitHub-Api-Version", "value": "2022-11-28" } ] }, "options": {} }, "id": "f04923d2-db6f-4aa3-9132-92acf8772e10", "name": "Fetch Apple GitHub", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 48, 416 ] }, { "parameters": { "url": "https://api.github.com/orgs/microsoft/repos?per_page=10&sort=pushed&type=public", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "REPLACE_WITH_AUTHORIZATION" }, { "name": "User-Agent", "value": "Mycroft-Investment-Intelligence/1.0" }, { "name": "Accept", "value": "application/vnd.github+json" }, { "name": "X-GitHub-Api-Version", "value": "2022-11-28" } ] }, "options": {} }, "id": "b29bdbae-556a-4ae1-9044-09b7cf38bea9", "name": "Fetch Microsoft GitHub", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 48, 592 ] }, { "parameters": { "url": "https://api.github.com/orgs/facebookresearch/repos?per_page=10&sort=pushed&type=public", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "REPLACE_WITH_AUTHORIZATION" }, { "name": "User-Agent", "value": "Mycroft-Investment-Intelligence/1.0" }, { "name": "Accept", "value": "application/vnd.github+json" }, { "name": "X-GitHub-Api-Version", "value": "2022-11-28" } ] }, "options": {} }, "id": "6009b0d7-67b2-4116-8355-897aeb0472d4", "name": "Fetch Meta GitHub", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 48, 784 ] }, { "parameters": { "numberInputs": 7 }, "id": "fb2520ab-a00d-4e1f-af6a-4f20dc8fe337", "name": "Merge GitHub Results", "type": "n8n-nodes-base.merge", "typeVersion": 3, "position": [ 320, 176 ] }, { "parameters": { "jsCode": "// Parse & Calculate Velocity\n// Merge (mergeByPosition) yields one item per input position 0-6.\n// Each item is the GitHub /orgs/{org}/repos response (an array of repos)\n// OR a single repo object depending on how n8n wrapped it. We map by index.\nconst watchlist = [\n { ticker: \"NVDA\", company: \"NVIDIA\", org: \"NVIDIA\" },\n { ticker: \"AMD\", company: \"AMD\", org: \"GPUOpen-Tools\" },\n { ticker: \"INTC\", company: \"Intel\", org: \"intel\" },\n { ticker: \"GOOGL\", company: \"Google\", org: \"google\" },\n { ticker: \"AAPL\", company: \"Apple\", org: \"apple\" },\n { ticker: \"MSFT\", company: \"Microsoft\", org: \"microsoft\" },\n { ticker: \"META\", company: \"Meta\", org: \"facebookresearch\" }\n];\n\nconst items = $input.all();\nconst now = Date.now();\nconst THIRTY_DAYS = 30 * 24 * 60 * 60 * 1000;\nconst out = [];\n\nfor (let i = 0; i < watchlist.length; i++) {\n const wl = watchlist[i];\n const raw = items[i] ? items[i].json : {};\n\n // GitHub returns an array of repos. n8n may store it under a key or as the\n // object itself. Normalize to an array of repo objects.\n let repos = [];\n if (Array.isArray(raw)) {\n repos = raw;\n } else if (Array.isArray(raw.data)) {\n repos = raw.data;\n } else if (raw && raw.name && raw.full_name) {\n repos = [raw];\n } else if (raw && typeof raw === 'object') {\n // Fallback: collect numeric-keyed repo objects\n const vals = Object.values(raw).filter(v => v && v.name && v.full_name);\n if (vals.length) repos = vals;\n }\n\n const activeRepos = repos.filter(r => {\n if (!r.pushed_at) return false;\n return (now - new Date(r.pushed_at).getTime()) <= THIRTY_DAYS;\n });\n\n const total_stars = repos.reduce((s, r) => s + (r.stargazers_count || 0), 0);\n\n let top_repo = null;\n let maxStars = -1;\n for (const r of repos) {\n if ((r.stargazers_count || 0) > maxStars) {\n maxStars = r.stargazers_count || 0;\n top_repo = r.name;\n }\n }\n\n const languages = [...new Set(repos.map(r => r.language).filter(Boolean))];\n const repo_names = repos.slice(0, 10).map(r => r.name);\n\n out.push({\n json: {\n ticker: wl.ticker,\n company: wl.company,\n org: wl.org,\n total_repos_active: activeRepos.length,\n total_stars,\n top_repo,\n languages,\n repo_names\n }\n });\n}\n\nreturn out;" }, "id": "6d0c18c5-54f9-47c9-90b1-11a417b728af", "name": "Parse & Calculate Velocity", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 528, 256 ] }, { "parameters": { "jsCode": "// Load Previous Run from Supabase\n// Pulls the most recent 7 signal rows to build a ticker -> previous metrics map.\nconst SUPABASE_URL = $env.SUPABASE_URL;\nconst SUPABASE_KEY = $env.SUPABASE_KEY;\n\nconst currentItems = $input.all();\n\nlet prevMap = {};\ntry {\n const url = `${SUPABASE_URL}/rest/v1/github_signals?select=ticker,total_repos_active,total_stars,run_timestamp&order=run_timestamp.desc&limit=7`;\n const res = await this.helpers.httpRequest({\n method: 'GET',\n url,\n headers: {\n apikey: SUPABASE_KEY,\n Authorization: `Bearer ${SUPABASE_KEY}`,\n Accept: 'application/json'\n },\n json: true\n });\n const rows = Array.isArray(res) ? res : [];\n for (const row of rows) {\n // Keep only the first (most recent) row seen per ticker.\n if (!prevMap[row.ticker]) {\n prevMap[row.ticker] = {\n total_repos_active: row.total_repos_active,\n total_stars: row.total_stars,\n run_timestamp: row.run_timestamp\n };\n }\n }\n} catch (e) {\n // No previous data / table empty / network error -> treat as first run.\n prevMap = {};\n}\n\n// Attach the previous map to every current company record.\nreturn currentItems.map(item => ({\n json: {\n ...item.json,\n _previous: prevMap[item.json.ticker] || null\n }\n}));" }, "id": "1e74f6d6-78ef-4d68-a326-ef6f344dfac0", "name": "Load Previous Run from Supabase", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 768, 256 ] }, { "parameters": { "jsCode": "// Calculate Week-over-Week Delta\nconst out = [];\nfor (const item of $input.all()) {\n const j = item.json;\n const prev = j._previous;\n const current = j.total_repos_active || 0;\n const currentStars = j.total_stars || 0;\n\n const is_first_run = !prev;\n const prevRepos = prev ? (prev.total_repos_active || 0) : 0;\n const prevStars = prev ? (prev.total_stars || 0) : 0;\n\n const repos_delta = current - prevRepos;\n const stars_delta = currentStars - prevStars;\n\n let velocity_direction;\n if (is_first_run) {\n velocity_direction = 'STABLE';\n } else if (repos_delta > 2) {\n velocity_direction = 'ACCELERATING';\n } else if (repos_delta < -2) {\n velocity_direction = 'DECELERATING';\n } else {\n velocity_direction = 'STABLE';\n }\n\n let delta_pct;\n if (is_first_run || prevRepos === 0) {\n delta_pct = 0;\n } else {\n delta_pct = parseFloat((((current - prevRepos) / prevRepos) * 100).toFixed(1));\n }\n\n const { _previous, ...rest } = j;\n out.push({\n json: {\n ...rest,\n repos_delta,\n stars_delta,\n velocity_direction,\n delta_pct,\n is_first_run,\n prev_total_repos_active: prevRepos,\n prev_total_stars: prevStars\n }\n });\n}\nreturn out;" }, "id": "d3b35ea1-c2cc-452e-84c5-819c2ee4e622", "name": "Calculate Week-over-Week Delta", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1008, 256 ] }, { "parameters": { "jsCode": "// Aggregate for Groq\n// Build a compact summary of all 7 companies for the classifier, and carry\n// the full per-company records forward so later nodes can re-read them.\nconst companies = $input.all().map(i => i.json);\n\nconst summary = companies.map(c => ({\n ticker: c.ticker,\n company: c.company,\n total_repos_active: c.total_repos_active,\n total_stars: c.total_stars,\n top_repo: c.top_repo,\n languages: c.languages,\n repo_names: c.repo_names,\n velocity_direction: c.velocity_direction,\n delta_pct: c.delta_pct,\n repos_delta: c.repos_delta\n}));\n\nreturn [{\n json: {\n companies, // full records preserved for downstream nodes\n summary, // compact slice for the LLM\n summary_json: JSON.stringify(summary, null, 2)\n }\n}];" }, "id": "843bedbd-8bff-4dc7-8380-8a34ee0307a2", "name": "Aggregate for Groq", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1248, 256 ] }, { "parameters": { "method": "POST", "url": "https://api.groq.com/openai/v1/chat/completions", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "REPLACE_WITH_AUTHORIZATION" }, { "name": "Content-Type", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"model\": \"llama-3.3-70b-versatile\",\n \"temperature\": 0.1,\n \"max_tokens\": 2000,\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are an engineering intelligence analyst. Return valid JSON only. No markdown, no preamble.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Analyze the weekly GitHub engineering activity for these AI watchlist companies and return a JSON array. For each company return an object with EXACTLY these fields: ticker (string), activity_classification (one of HIGHLY_ACTIVE, ACTIVE, MODERATE, LOW_ACTIVITY), momentum_signal (one of BUILDING, MAINTAINING, SLOWING, PIVOTING), key_observation (one sentence string), notable_repos (array of 1-2 repo name strings), risk_flag (boolean — true if engineering activity looks concerning, e.g. sharp deceleration or near-silence). Return ONLY the JSON array keyed by ticker, nothing else.\\n\\nData:\\n{{ $json.summary_json }}\"\n }\n ]\n}", "options": {} }, "id": "93d5b93b-aa0b-4b8b-8faa-278309abec62", "name": "Groq: Activity Classifier", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 1488, 256 ] }, { "parameters": { "jsCode": "// Parse Groq Response\nlet parsed = null;\ntry {\n const resp = $input.first().json;\n let content = resp?.choices?.[0]?.message?.content || '';\n // Strip ```json ... ``` or ``` ... ``` fences.\n content = content.trim()\n .replace(/^```json\\s*/i, '')\n .replace(/^```\\s*/i, '')\n .replace(/```\\s*$/i, '')\n .trim();\n parsed = JSON.parse(content);\n} catch (e) {\n parsed = null;\n}\n\n// Pull the previously-computed company data from Aggregate for Groq.\nconst agg = $('Aggregate for Groq').first().json;\nconst companies = agg.companies || [];\n\nreturn [{\n json: {\n groq_parsed: parsed, // array or null\n groq_ok: parsed !== null,\n companies\n }\n}];" }, "id": "6cdab3a6-be8b-4881-af0a-02a7ad14f789", "name": "Parse Groq Response", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1728, 256 ] }, { "parameters": { "jsCode": "// Signal Assembler\n// Merge Groq output into company records by ticker, mint one agent_run_id\n// for the whole run, compute the ISO week, and emit one item per company.\n\nfunction uuidv4() {\n // Deterministic-ish RFC4122 v4 generator (crypto-free for n8n sandbox).\n let d = new Date().getTime();\n return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function (c) {\n const r = (d + Math.random() * 16) % 16 | 0;\n d = Math.floor(d / 16);\n return (c === 'x' ? r : (r & 0x3) | 0x8).toString(16);\n });\n}\n\nfunction isoWeek(date) {\n const d = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), date.getUTCDate()));\n const dayNum = (d.getUTCDay() + 6) % 7; // Mon=0..Sun=6\n d.setUTCDate(d.getUTCDate() - dayNum + 3); // nearest Thursday\n const firstThursday = new Date(Date.UTC(d.getUTCFullYear(), 0, 4));\n const firstDayNum = (firstThursday.getUTCDay() + 6) % 7;\n firstThursday.setUTCDate(firstThursday.getUTCDate() - firstDayNum + 3);\n const week = 1 + Math.round((d - firstThursday) / (7 * 24 * 60 * 60 * 1000));\n return `${d.getUTCFullYear()}-W${String(week).padStart(2, '0')}`;\n}\n\nconst input = $input.first().json;\nconst companies = input.companies || [];\nconst groq = Array.isArray(input.groq_parsed) ? input.groq_parsed : [];\n\nconst groqByTicker = {};\nfor (const g of groq) {\n if (g && g.ticker) groqByTicker[g.ticker] = g;\n}\n\nconst run_timestamp = new Date().toISOString();\nconst agent_run_id = uuidv4();\nconst run_week = isoWeek(new Date());\n\nlet acceleratingCount = 0;\nlet deceleratingCount = 0;\nlet riskFlagCount = 0;\n\nconst records = companies.map(c => {\n const g = groqByTicker[c.ticker] || {};\n const risk_flag = g.risk_flag === true;\n\n if (c.velocity_direction === 'ACCELERATING') acceleratingCount++;\n if (c.velocity_direction === 'DECELERATING') deceleratingCount++;\n if (risk_flag) riskFlagCount++;\n\n return {\n ticker: c.ticker,\n company: c.company,\n run_timestamp,\n run_week,\n agent_run_id,\n total_repos_active: c.total_repos_active,\n total_stars: c.total_stars,\n top_repo: c.top_repo,\n languages: c.languages || [],\n repo_names: c.repo_names || [],\n velocity_direction: c.velocity_direction,\n delta_pct: c.delta_pct,\n repos_delta: c.repos_delta,\n stars_delta: c.stars_delta,\n activity_classification: g.activity_classification || 'MODERATE',\n momentum_signal: g.momentum_signal || 'MAINTAINING',\n key_observation: g.key_observation || 'No classification available for this run.',\n notable_repos: Array.isArray(g.notable_repos) ? g.notable_repos : [],\n risk_flag,\n is_first_run: c.is_first_run === true,\n // run-level summary carried on every record for downstream report nodes\n _run_summary: { acceleratingCount, deceleratingCount, riskFlagCount, agent_run_id, run_week, run_timestamp }\n };\n});\n\n// Re-stamp the final (complete) run summary onto every record.\nconst runSummary = { acceleratingCount, deceleratingCount, riskFlagCount, agent_run_id, run_week, run_timestamp };\nreturn records.map(r => ({ json: { ...r, _run_summary: runSummary } }));" }, "id": "77f49ab8-e073-4da1-a03d-af0ed74e07d3", "name": "Signal Assembler", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1968, 256 ] }, { "parameters": { "operation": "upsert" }, "id": "eab49325-6ddf-470c-9a4b-c30c03ce9f30", "name": "Upsert to Supabase", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 2208, 256 ] }, { "parameters": { "jsCode": "// Generate Report — build the full markdown signal report.\nconst records = $input.all().map(i => i.json);\nif (!records.length) {\n return [{ json: { report: '# GitHub Commit Velocity Tracker — No data', runId: null, companies_tracked: 0, accelerating_count: 0, decelerating_count: 0, risk_flag_count: 0 } }];\n}\n\nconst summary = records[0]._run_summary || {};\nconst runId = summary.agent_run_id || 'unknown';\nconst run_week = summary.run_week || 'unknown';\nconst run_timestamp = summary.run_timestamp || new Date().toISOString();\n\nconst acceleratingCount = summary.acceleratingCount || 0;\nconst deceleratingCount = summary.deceleratingCount || 0;\nconst riskFlagCount = summary.riskFlagCount || 0;\nconst stableCount = records.filter(r => r.velocity_direction === 'STABLE').length;\n\nconst esc = (v) => (v === null || v === undefined || v === '') ? '—' : String(v);\nconst pct = (r) => `${r.delta_pct > 0 ? '+' : ''}${esc(r.delta_pct)}%`;\nconst joinArr = (a) => (Array.isArray(a) && a.length) ? a.join(', ') : '—';\n\nlet md = '';\nmd += '# GitHub Commit Velocity Tracker — Signal Report\\n\\n';\nmd += `**Run ID:** \\`${runId}\\` \\n`;\nmd += `**Generated:** ${run_timestamp} \\n`;\nmd += `**Period:** ${run_week}\\n\\n`;\nmd += '---\\n\\n';\n\n// Executive Summary\nmd += '## Executive Summary\\n\\n';\nmd += '| Metric | Value |\\n|---|---|\\n';\nmd += `| Companies tracked | ${records.length} |\\n`;\nmd += `| Accelerating | ${acceleratingCount} |\\n`;\nmd += `| Stable | ${stableCount} |\\n`;\nmd += `| Decelerating | ${deceleratingCount} |\\n`;\nmd += `| Risk flags | ${riskFlagCount} |\\n\\n`;\n\n// Engineering Velocity Rankings\nmd += '## Engineering Velocity Rankings\\n\\n';\nconst ranked = [...records].sort((a, b) => (b.total_repos_active || 0) - (a.total_repos_active || 0));\nranked.forEach((r, i) => {\n md += `### ${i + 1}. ${esc(r.company)} (${esc(r.ticker)})\\n\\n`;\n md += `- **Velocity:** ${esc(r.velocity_direction)} (${pct(r)})\\n`;\n md += `- **Activity:** ${esc(r.activity_classification)}\\n`;\n md += `- **Momentum:** ${esc(r.momentum_signal)}\\n`;\n md += `- **Active repos:** ${esc(r.total_repos_active)} | **Stars:** ${esc(r.total_stars)}\\n`;\n md += `- **Observation:** ${esc(r.key_observation)}\\n`;\n md += `- **Top repo:** ${esc(r.top_repo)}\\n`;\n md += `- **Notable repos:** ${joinArr(r.notable_repos)}\\n`;\n md += `- **Risk flag:** ${r.risk_flag ? '⚠️ YES' : 'no'}\\n\\n`;\n});\n\n// Accelerating Companies\nmd += '## Accelerating Companies\\n\\n';\nconst accel = records.filter(r => r.velocity_direction === 'ACCELERATING');\nif (accel.length) {\n accel.forEach(r => { md += `- **${esc(r.company)} (${esc(r.ticker)})** — ${pct(r)}, ${esc(r.activity_classification)} — ${esc(r.key_observation)}\\n`; });\n} else {\n md += '_No companies accelerating this period._\\n';\n}\nmd += '\\n';\n\n// Risk Flags\nmd += '## Risk Flags\\n\\n';\nconst risks = records.filter(r => r.risk_flag === true);\nif (risks.length) {\n risks.forEach(r => { md += `- ⚠️ **${esc(r.company)} (${esc(r.ticker)})** — ${esc(r.momentum_signal)} — ${esc(r.key_observation)}\\n`; });\n} else {\n md += '_No risk flags this period._\\n';\n}\nmd += '\\n';\n\n// Week-over-Week Delta Table\nmd += '## Week-over-Week Delta Table\\n\\n';\nmd += '| Company | Ticker | Repos This Week | Repos Last Week | Delta | Direction |\\n';\nmd += '|---|---|---|---|---|---|\\n';\nrecords.forEach(r => {\n const last = (r.total_repos_active || 0) - (r.repos_delta || 0);\n md += `| ${esc(r.company)} | ${esc(r.ticker)} | ${esc(r.total_repos_active)} | ${r.is_first_run ? '—' : last} | ${r.repos_delta > 0 ? '+' : ''}${esc(r.repos_delta)} | ${esc(r.velocity_direction)} |\\n`;\n});\nmd += '\\n';\n\n// Language Landscape\nmd += '## Language Landscape\\n\\n';\nrecords.forEach(r => {\n md += `- **${esc(r.company)} (${esc(r.ticker)}):** ${joinArr(r.languages)}\\n`;\n});\nmd += '\\n';\n\n// Known Limitations\nmd += '## Known Limitations\\n\\n';\nmd += '- Top 10 repos per org only — deeper backlogs are not sampled.\\n';\nmd += '- Repos delta is an activity proxy, not a raw commit count.\\n';\nmd += '- First run has no week-over-week comparison.\\n';\nmd += '- GitHub token required (5,000 req/hr authenticated).\\n\\n';\n\nmd += '---\\n\\n';\nmd += '_Mycroft — GitHub Commit Velocity Tracker | Agent 4_ \\n';\nmd += '_Stack: n8n + GitHub REST API + Groq + Supabase_\\n';\n\nreturn [{\n json: {\n report: md,\n runId,\n companies_tracked: records.length,\n accelerating_count: acceleratingCount,\n decelerating_count: deceleratingCount,\n risk_flag_count: riskFlagCount\n }\n}];" }, "id": "aa18c608-2b2e-4db1-a978-19c6ec87b0d9", "name": "Generate Report", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2448, 256 ] }, { "parameters": { "operation": "insert" }, "id": "0ca15125-81b6-496f-95df-5fcc2c9d8556", "name": "Store Report in Supabase", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 2688, 256 ] }, { "parameters": { "respondWith": "text", "responseBody": "={{ $('Generate Report').first().json.report }}", "options": { "responseHeaders": { "entries": [ { "name": "Content-Type", "value": "text/markdown" } ] } } }, "id": "2aeef2e7-38b4-40d2-8ea8-4be3f859e23a", "name": "Pipeline Response", "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.1, "position": [ 2928, 256 ] }, { "id": "f19292b1-d64f-5210-b4fc-0ac71ff47a00", "name": "Publication · Overview and setup", "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -1232, -224 ], "parameters": { "content": "# GitHub Commit Velocity Tracker\n\n## Purpose and structure\nThis folder contains the **GitHub Commit Velocity Tracker** workflow. Its executable nodes use `code`, `httpRequest`, `merge`, `respondToWebhook`, `scheduleTrigger`, `supabase`, `webhook`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nCron Trigger, Manual Pipeline Webhook\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nNik Bear Brown; rights confirmed 2026-10-19\nMIT; preserve source notices.", "width": 700, "height": 800, "color": 1 } } ], "connections": { "Cron Trigger": { "main": [ [ { "node": "Fetch Watchlist", "type": "main", "index": 0 } ] ] }, "Manual Pipeline Webhook": { "main": [ [ { "node": "Fetch Watchlist", "type": "main", "index": 0 } ] ] }, "Fetch Watchlist": { "main": [ [ { "node": "Fetch NVIDIA GitHub", "type": "main", "index": 0 }, { "node": "Fetch AMD GitHub", "type": "main", "index": 0 }, { "node": "Fetch Intel GitHub", "type": "main", "index": 0 }, { "node": "Fetch Google GitHub", "type": "main", "index": 0 }, { "node": "Fetch Apple GitHub", "type": "main", "index": 0 }, { "node": "Fetch Microsoft GitHub", "type": "main", "index": 0 }, { "node": "Fetch Meta GitHub", "type": "main", "index": 0 } ] ] }, "Fetch NVIDIA GitHub": { "main": [ [ { "node": "Merge GitHub Results", "type": "main", "index": 0 } ] ] }, "Fetch AMD GitHub": { "main": [ [ { "node": "Merge GitHub Results", "type": "main", "index": 1 } ] ] }, "Fetch Intel GitHub": { "main": [ [ { "node": "Merge GitHub Results", "type": "main", "index": 2 } ] ] }, "Fetch Google GitHub": { "main": [ [ { "node": "Merge GitHub Results", "type": "main", "index": 3 } ] ] }, "Fetch Apple GitHub": { "main": [ [ { "node": "Merge GitHub Results", "type": "main", "index": 4 } ] ] }, "Fetch Microsoft GitHub": { "main": [ [ { "node": "Merge GitHub Results", "type": "main", "index": 5 } ] ] }, "Fetch Meta GitHub": { "main": [ [ { "node": "Merge GitHub Results", "type": "main", "index": 6 } ] ] }, "Merge GitHub Results": { "main": [ [ { "node": "Parse & Calculate Velocity", "type": "main", "index": 0 } ] ] }, "Parse & Calculate Velocity": { "main": [ [ { "node": "Load Previous Run from Supabase", "type": "main", "index": 0 } ] ] }, "Load Previous Run from Supabase": { "main": [ [ { "node": "Calculate Week-over-Week Delta", "type": "main", "index": 0 } ] ] }, "Calculate Week-over-Week Delta": { "main": [ [ { "node": "Aggregate for Groq", "type": "main", "index": 0 } ] ] }, "Aggregate for Groq": { "main": [ [ { "node": "Groq: Activity Classifier", "type": "main", "index": 0 } ] ] }, "Groq: Activity Classifier": { "main": [ [ { "node": "Parse Groq Response", "type": "main", "index": 0 } ] ] }, "Parse Groq Response": { "main": [ [ { "node": "Signal Assembler", "type": "main", "index": 0 } ] ] }, "Signal Assembler": { "main": [ [ { "node": "Upsert to Supabase", "type": "main", "index": 0 } ] ] }, "Upsert to Supabase": { "main": [ [ { "node": "Generate Report", "type": "main", "index": 0 } ] ] }, "Generate Report": { "main": [ [ { "node": "Store Report in Supabase", "type": "main", "index": 0 } ] ] }, "Store Report in Supabase": { "main": [ [ { "node": "Pipeline Response", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" } }