{ "name": "Founder's Discovery Engine", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 13 * * *" } ] } }, "id": "trigger-cron", "name": "Cron \u00b7 Daily 7am MDT", "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ 240, 200 ], "notes": "Wakes the agent up daily at 7am Boulder/Denver (13:00 UTC during MDT). Adjust UTC values for your timezone \u2014 PT=14, ET=11, UK=06, CET=05." }, { "parameters": { "httpMethod": "POST", "path": "discovery-engine-manual", "responseMode": "lastNode" }, "id": "trigger-manual", "name": "Manual \u00b7 Webhook", "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ 240, 360 ], "notes": "Manual trigger for testing and live demos. Hit the webhook URL to fire the agent on demand." }, { "parameters": { "documentId": { "__rl": true, "value": "REPLACE_WITH_YOUR_SHEET_ID", "mode": "id" }, "sheetName": { "__rl": true, "value": "ICP", "mode": "name" }, "options": {} }, "id": "read-icp", "name": "Read ICP from Sheets", "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.5, "position": [ 460, 280 ], "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "notes": "CONFIG: ICP tab columns are icp_description, signal_keywords, subreddits (comma-separated). Edit the Sheet to change agent behavior \u2014 no redeploy needed." }, { "parameters": { "operation": "download", "fileId": { "__rl": true, "value": "REPLACE_WITH_VOICE_MD_FILE_ID", "mode": "id" }, "options": { "binaryPropertyName": "voiceMd" } }, "id": "read-voice", "name": "Read voice.md from Drive", "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 460, 460 ], "credentials": { "googleDriveOAuth2Api": { "name": "" } }, "notes": "Pulls the voice.md tone-of-voice file. Edit voice.md in Drive and the agent inherits the change next run." }, { "parameters": { "url": "https://api.anthropic.com/v1/messages", "method": "POST", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "anthropic-version", "value": "2023-06-01" }, { "name": "content-type", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"model\": \"claude-haiku-4-5\",\n \"max_tokens\": 2000,\n \"tools\": [{ \"type\": \"web_search_20250305\", \"name\": \"web_search\", \"max_uses\": 5 }],\n \"system\": \"You are a customer-discovery research agent for a lean startup.\\n\\nICP context:\\n{{ $('Read ICP from Sheets').item.json.icp_description }}\\n\\nSignal keywords: {{ $('Read ICP from Sheets').item.json.signal_keywords }}\\n\\nReturn ONLY a JSON array. No prose. No explanation.\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"=Search Hacker News, Reddit ({{ ($('Read ICP from Sheets').item.json.subreddits || 'SaaS,Entrepreneur,AI_Agents').split(',').map(s => 'r/' + s.trim()).join(', ') }}), and Product Hunt for posts from the last 7 days where founders or operators are publicly displaying signals matching my ICP. Look for: pain mentions, hiring posts I could solve, complaints about competitors, asks for tools.\\n\\nReturn JSON array, max 30 items, schema:\\n[\\n {\\n \\\"person\\\": \\\"@handle or display name\\\",\\n \\\"signal_type\\\": \\\"pain | hiring | complaint | tool_ask\\\",\\n \\\"source_url\\\": \\\"full URL to the original post\\\",\\n \\\"evidence_quote\\\": \\\"verbatim 1-2 sentence quote\\\",\\n \\\"score\\\": 0-10,\\n \\\"company\\\": \\\"company name if discoverable\\\",\\n \\\"company_url\\\": \\\"company website if discoverable\\\"\\n }\\n]\"\n }\n ]\n}", "options": {} }, "id": "discovery-claude", "name": "Discovery \u00b7 Claude Haiku 4.5 + web_search", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 700, 360 ], "credentials": { "httpHeaderAuth": { "name": "" } }, "notes": "Sub-agent #1 \u2014 Haiku 4.5 with built-in web_search tool. Single call does both search AND structured extraction. Returns typed JSON." }, { "parameters": { "language": "javaScript", "jsCode": "// Parse Claude's response and extract the leads JSON array.\n// Claude returns content blocks; we want the text block with the JSON array.\n\nconst response = $input.first().json;\nconst contentBlocks = response.content || [];\n\nlet rawText = '';\nfor (const block of contentBlocks) {\n if (block.type === 'text' && block.text) {\n rawText += block.text;\n }\n}\n\n// Strip any leading/trailing non-JSON\nconst jsonMatch = rawText.match(/\\[[\\s\\S]*\\]/);\nif (!jsonMatch) {\n return [{ json: { error: 'No JSON array in response', raw: rawText, leads: [] } }];\n}\n\nlet leads;\ntry {\n leads = JSON.parse(jsonMatch[0]);\n} catch (e) {\n return [{ json: { error: 'JSON parse failed', message: e.message, raw: jsonMatch[0], leads: [] } }];\n}\n\n// Filter to leads scored 6 or higher\nconst qualified = leads.filter(l => (l.score ?? 0) >= 6);\n\nreturn qualified.map(lead => ({ json: lead }));\n" }, "id": "parse-leads", "name": "Parse \u00b7 Extract qualified leads", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 920, 360 ], "notes": "Parses Claude's response, extracts the JSON array, filters to score >= 6." }, { "parameters": { "documentId": { "__rl": true, "value": "REPLACE_WITH_YOUR_SHEET_ID", "mode": "id" }, "sheetName": { "__rl": true, "value": "Sent", "mode": "name" }, "options": {} }, "id": "read-sent-log", "name": "Read Sent log", "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.5, "position": [ 1140, 280 ], "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "notes": "Idempotency: read the Sent log so we can dedup against already-contacted people." }, { "parameters": { "language": "javaScript", "jsCode": "// Idempotent dedup \u2014 drop any lead already in the Sent log.\n// The Sent log is the second input branch; the leads come in as the primary stream.\n\nconst leads = $input.all().map(i => i.json);\nconst sentRows = $('Read Sent log').all().map(i => i.json);\n\n// Build a Set of identifiers we've already contacted.\n// We dedup on source_url AND on person handle, whichever is present.\nconst contactedUrls = new Set(sentRows.map(r => r.source_url).filter(Boolean));\nconst contactedHandles = new Set(sentRows.map(r => r.person).filter(Boolean));\n\nconst fresh = leads.filter(lead => {\n if (lead.source_url && contactedUrls.has(lead.source_url)) return false;\n if (lead.person && contactedHandles.has(lead.person)) return false;\n return true;\n});\n\n// Keep top 5 by score \u2014 progressive enrichment gates the expensive step.\nfresh.sort((a, b) => (b.score ?? 0) - (a.score ?? 0));\nconst top5 = fresh.slice(0, 5);\n\nreturn top5.map(lead => ({ json: lead }));\n" }, "id": "dedup", "name": "Dedup \u00b7 top 5 fresh leads", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1360, 360 ], "notes": "Idempotency primitive. Filters out already-contacted leads. Keeps top 5 by score for the expensive enrichment step." }, { "parameters": { "url": "=https://api.firecrawl.dev/v1/scrape", "method": "POST", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"url\": \"{{ $json.company_url || $json.source_url }}\",\n \"formats\": [\"markdown\"],\n \"onlyMainContent\": true\n}", "options": { "timeout": 30000 } }, "id": "firecrawl-enrich", "name": "Firecrawl \u00b7 enrich top 5", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 1580, 360 ], "credentials": { "httpHeaderAuth": { "name": "" } }, "notes": "Progressive enrichment \u2014 only the top 5 leads get a Firecrawl scrape. Apache 2.0 OSS \u2014 self-host or Cloud." }, { "parameters": { "url": "https://api.anthropic.com/v1/messages", "method": "POST", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "anthropic-version", "value": "2023-06-01" }, { "name": "content-type", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"model\": \"claude-haiku-4-5\",\n \"max_tokens\": 300,\n \"system\": \"You write concise 2-line company summaries for a lean startup outreach agent. Output plain text. No JSON. No markdown.\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Company markdown extract:\\n\\n{{ $json.data.markdown.slice(0, 4000) }}\\n\\nIn exactly two sentences, what does this company do and what's their current state?\"\n }\n ]\n}", "options": {} }, "id": "summarize-company", "name": "Summarize \u00b7 Haiku 4.5", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 1800, 360 ], "credentials": { "httpHeaderAuth": { "name": "" } }, "notes": "Cheap classifier extracts a 2-sentence company context. Cascade pattern \u2014 Haiku for summary, Sonnet for drafting." }, { "parameters": { "url": "https://api.anthropic.com/v1/messages", "method": "POST", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "anthropic-version", "value": "2023-06-01" }, { "name": "content-type", "value": "application/json" }, { "name": "anthropic-beta", "value": "prompt-caching-2024-07-31" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"model\": \"claude-sonnet-4-6\",\n \"max_tokens\": 600,\n \"system\": [\n {\n \"type\": \"text\",\n \"text\": \"You write customer-discovery emails for a lean startup founder. Goal of every email: an INTERVIEW ASK \u2014 not a pitch. Soft CTA. 80-110 words. Follow the voice.md file exactly.\"\n },\n {\n \"type\": \"text\",\n \"text\": \"=voice.md contents:\\n\\n{{ $('Read voice.md from Drive').item.binary.voiceMd.toString('utf-8') }}\",\n \"cache_control\": { \"type\": \"ephemeral\" }\n }\n ],\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Draft a customer-discovery email.\\n\\nPerson: {{ $json.person || 'unknown' }}\\nTheir signal: {{ $json.signal_type }} \u2014 {{ $json.evidence_quote }}\\nSource URL: {{ $json.source_url }}\\nCompany context (2 sentences): {{ $('Summarize \u00b7 Haiku 4.5').item.json.content[0].text }}\\n\\nReturn ONLY the email subject and body in this format:\\nSUBJECT: [subject line]\\nBODY:\\n[email body]\"\n }\n ]\n}", "options": {} }, "id": "draft-email", "name": "Draft \u00b7 Sonnet 4.6 + voice.md", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 2020, 360 ], "credentials": { "httpHeaderAuth": { "name": "" } }, "notes": "Sub-agent #2 \u2014 Sonnet 4.6 drafts the personalized email using voice.md as cached context. The only premium-token step in the workflow." }, { "parameters": { "language": "javaScript", "jsCode": "// Parse the SUBJECT: / BODY: format from the Claude response.\nconst response = $input.first().json;\nconst text = (response.content?.[0]?.text || '').trim();\n\nconst subjectMatch = text.match(/^SUBJECT:\\s*(.+?)\\s*\\n/);\nconst bodyMatch = text.match(/BODY:\\s*\\n([\\s\\S]+)$/);\n\nconst subject = subjectMatch ? subjectMatch[1].trim() : 're: a quick question';\nconst body = bodyMatch ? bodyMatch[1].trim() : text;\n\n// Carry forward the lead context for downstream nodes.\nconst lead = {\n person: $('Dedup \u00b7 top 5 fresh leads').item.json.person,\n signal_type: $('Dedup \u00b7 top 5 fresh leads').item.json.signal_type,\n source_url: $('Dedup \u00b7 top 5 fresh leads').item.json.source_url,\n evidence_quote: $('Dedup \u00b7 top 5 fresh leads').item.json.evidence_quote,\n score: $('Dedup \u00b7 top 5 fresh leads').item.json.score,\n company: $('Dedup \u00b7 top 5 fresh leads').item.json.company,\n company_url: $('Dedup \u00b7 top 5 fresh leads').item.json.company_url\n};\n\nreturn [{ json: { subject, body, lead } }];\n" }, "id": "parse-draft", "name": "Parse \u00b7 Subject + Body", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2240, 360 ], "notes": "Splits the Claude SUBJECT/BODY response into structured fields for the Gmail node." }, { "parameters": { "resource": "draft", "operation": "create", "subject": "={{ $json.subject }}", "message": "={{ $json.body }}", "options": { "sendTo": "={{ $json.lead.person ? $json.lead.person + '@unknown.example' : 'TODO_RESOLVE_EMAIL@example.com' }}" } }, "id": "gmail-create-draft", "name": "Gmail \u00b7 createDraft (HITL gate)", "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 2460, 360 ], "credentials": { "gmailOAuth2": { "name": "" } }, "notes": "HITL GATE \u2014 the agent NEVER sends. Drops a draft in your Drafts folder. You approve and send manually. NOTE: real-world usage requires resolving the recipient's actual email. For demo we use placeholder @unknown.example." }, { "parameters": { "documentId": { "__rl": true, "value": "REPLACE_WITH_YOUR_SHEET_ID", "mode": "id" }, "sheetName": { "__rl": true, "value": "Sent", "mode": "name" }, "columns": { "mappingMode": "defineBelow", "value": { "date": "={{ new Date().toISOString().slice(0,10) }}", "person": "={{ $json.lead.person }}", "signal_type": "={{ $json.lead.signal_type }}", "source_url": "={{ $json.lead.source_url }}", "score": "={{ $json.lead.score }}", "draft_subject": "={{ $json.subject }}", "status": "pending_review" } } }, "id": "log-sent", "name": "Append \u00b7 Sent log", "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.5, "position": [ 2680, 360 ], "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "notes": "Logs the draft to the Sent sheet with status=pending_review. Founder updates to 'sent' after approving and sending the Gmail draft." }, { "parameters": { "url": "https://api.anthropic.com/v1/messages", "method": "POST", "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "anthropic-version", "value": "2023-06-01" }, { "name": "content-type", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"model\": \"claude-sonnet-4-6\",\n \"max_tokens\": 400,\n \"system\": \"You write a brief daily digest email for a founder running a customer-discovery agent. One paragraph. Friendly. Specific numbers.\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"=Today the agent processed {{ $('Discovery \u00b7 Claude Haiku 4.5 + web_search').all().length }} discovery results, scored {{ $('Parse \u00b7 Extract qualified leads').all().length }} as qualified, deduped to {{ $('Dedup \u00b7 top 5 fresh leads').all().length }} fresh leads, and drafted {{ $('Parse \u00b7 Subject + Body').all().length }} emails sitting in Gmail Drafts.\\n\\nTop signal types today: {{ $('Dedup \u00b7 top 5 fresh leads').all().map(i => i.json.signal_type).join(', ') }}\\n\\nWrite a short morning digest email to the founder. Subject + body. Friendly tone. Tell them what to do next (approve drafts before 5pm).\"\n }\n ]\n}", "options": {} }, "id": "draft-digest", "name": "Digest \u00b7 Sonnet 4.6", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 2900, 200 ], "credentials": { "httpHeaderAuth": { "name": "" } }, "notes": "Sub-agent #3 \u2014 generates the morning digest summary. Could be moved to Anthropic batch API for 50% off since it's not real-time." }, { "parameters": { "language": "javaScript", "jsCode": "const response = $input.first().json;\nconst text = (response.content?.[0]?.text || '').trim();\n\nconst subjectMatch = text.match(/^SUBJECT:\\s*(.+?)\\s*\\n/i) || text.match(/^Subject:\\s*(.+?)\\s*\\n/);\nconst bodyMatch = text.match(/(?:BODY:|Body:)\\s*\\n([\\s\\S]+)$/i);\n\nconst subject = subjectMatch ? subjectMatch[1].trim() : 'Discovery Pulse \u2014 ' + new Date().toISOString().slice(0,10);\nconst body = bodyMatch ? bodyMatch[1].trim() : text;\n\nreturn [{ json: { subject, body } }];\n" }, "id": "parse-digest", "name": "Parse \u00b7 Digest fields", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 3120, 200 ] }, { "parameters": { "resource": "message", "operation": "send", "subject": "={{ $json.subject }}", "message": "={{ $json.body }}", "options": { "sendTo": "REPLACE_WITH_YOUR_EMAIL@example.com" } }, "id": "gmail-send-digest", "name": "Gmail \u00b7 Send digest to founder", "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 3340, 200 ], "credentials": { "gmailOAuth2": { "name": "" } }, "notes": "Sends the digest email to YOU. The only place the agent actually sends \u2014 and it's only sending to you, not to prospects." }, { "parameters": { "documentId": { "__rl": true, "value": "REPLACE_WITH_YOUR_SHEET_ID", "mode": "id" }, "sheetName": { "__rl": true, "value": "Runs", "mode": "name" }, "columns": { "mappingMode": "defineBelow", "value": { "date": "={{ new Date().toISOString().slice(0,10) }}", "leads_found": "={{ $('Discovery \u00b7 Claude Haiku 4.5 + web_search').all().length }}", "qualified": "={{ $('Parse \u00b7 Extract qualified leads').all().length }}", "drafts": "={{ $('Parse \u00b7 Subject + Body').all().length }}", "errors": "0", "notes": "auto" } } }, "id": "log-run", "name": "Append \u00b7 Runs audit log", "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.5, "position": [ 3560, 200 ], "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "notes": "Audit log \u2014 every run appends a row. This is your trust-building primitive. After 2 weeks of clean runs, promote the agent up the trust ladder." } ], "connections": { "Cron \u00b7 Daily 7am MDT": { "main": [ [ { "node": "Read ICP from Sheets", "type": "main", "index": 0 }, { "node": "Read voice.md from Drive", "type": "main", "index": 0 } ] ] }, "Manual \u00b7 Webhook": { "main": [ [ { "node": "Read ICP from Sheets", "type": "main", "index": 0 }, { "node": "Read voice.md from Drive", "type": "main", "index": 0 } ] ] }, "Read ICP from Sheets": { "main": [ [ { "node": "Discovery \u00b7 Claude Haiku 4.5 + web_search", "type": "main", "index": 0 } ] ] }, "Read voice.md from Drive": { "main": [ [ { "node": "Discovery \u00b7 Claude Haiku 4.5 + web_search", "type": "main", "index": 0 } ] ] }, "Discovery \u00b7 Claude Haiku 4.5 + web_search": { "main": [ [ { "node": "Parse \u00b7 Extract qualified leads", "type": "main", "index": 0 } ] ] }, "Parse \u00b7 Extract qualified leads": { "main": [ [ { "node": "Read Sent log", "type": "main", "index": 0 }, { "node": "Dedup \u00b7 top 5 fresh leads", "type": "main", "index": 0 } ] ] }, "Read Sent log": { "main": [ [ { "node": "Dedup \u00b7 top 5 fresh leads", "type": "main", "index": 0 } ] ] }, "Dedup \u00b7 top 5 fresh leads": { "main": [ [ { "node": "Firecrawl \u00b7 enrich top 5", "type": "main", "index": 0 } ] ] }, "Firecrawl \u00b7 enrich top 5": { "main": [ [ { "node": "Summarize \u00b7 Haiku 4.5", "type": "main", "index": 0 } ] ] }, "Summarize \u00b7 Haiku 4.5": { "main": [ [ { "node": "Draft \u00b7 Sonnet 4.6 + voice.md", "type": "main", "index": 0 } ] ] }, "Draft \u00b7 Sonnet 4.6 + voice.md": { "main": [ [ { "node": "Parse \u00b7 Subject + Body", "type": "main", "index": 0 } ] ] }, "Parse \u00b7 Subject + Body": { "main": [ [ { "node": "Gmail \u00b7 createDraft (HITL gate)", "type": "main", "index": 0 }, { "node": "Append \u00b7 Sent log", "type": "main", "index": 0 } ] ] }, "Gmail \u00b7 createDraft (HITL gate)": { "main": [ [ { "node": "Digest \u00b7 Sonnet 4.6", "type": "main", "index": 0 } ] ] }, "Digest \u00b7 Sonnet 4.6": { "main": [ [ { "node": "Parse \u00b7 Digest fields", "type": "main", "index": 0 } ] ] }, "Parse \u00b7 Digest fields": { "main": [ [ { "node": "Gmail \u00b7 Send digest to founder", "type": "main", "index": 0 } ] ] }, "Gmail \u00b7 Send digest to founder": { "main": [ [ { "node": "Append \u00b7 Runs audit log", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1", "errorWorkflow": "" }, "versionId": "bsw-growth-agent-v1.0.0", "id": "bsw-growth-agent", "meta": { "templateCredsSetupCompleted": false, "description": "The Founder's Discovery Engine \u2014 built live at Boulder Startup Week 2026 by Sophia Stein (AI Architect). Listens for ICP signals on HN/Reddit/Product Hunt, drafts personalized customer-discovery emails in your voice via voice.md, drops them in Gmail Drafts (never sends), follows up after 5 days. MIT licensed. Repo: github.com/sudosoph/bsw26-agentic-workflows. Newsletter: agenticarchitect.ai/blog" }, "tags": [ { "name": "agentic-workflow" }, { "name": "customer-discovery" }, { "name": "bsw-2026" }, { "name": "open-source" } ] }