Workflow: Lmchatgooglegemini Workflow
Integrations: aggregate, emailSend, formTrigger, hackerNews, httpRequest, markdown, noOp, splitOut

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Ignore all other comments that are off topic discussions.\n\nNow based on these comments, you need to find the top resources and list them. \n\nCategorize them based on resource type (course, book, article, youtube videos, lectures, etc) and also figure out the difficultiy level (beginner, intermediate, advanced, expert).\n\nYou don't always to have fill in these categories exactly, these are given here for reference. Use your intution to find the best categorization.\n\nNow based on these metrics and running a basic sentiment analysis on comments you need to figure out what the top resources are. \n\nRespond back in Markdown formatted text. In the following format\n\n**OUTPUT FORMAT**\n\n```\n\n## Top HN Recomended Resources To Learn <topic Name> \n\n### Category 1\n\n- **Resource 1** - One line description\n- **Resource 2** - One line description\n- ... \n\n<add hyperlinks if any exists>\n\n### Category 2\n\n- **Resource 1** - One line description\n- **Resource 2** - One line description\n- ... \n\n<add hyperlinks in markdown format to the resource name itself if any exists. Example [resource name]({{ $env.WEBHOOK_URL }}>\n\n...\n```\n\nHere is the list of HackerNews Comments.\n\n{{ $json.text }}", "promptType": "define"}, "typeVersion": 1.5, "notes": "This chainLlm node performs automated tasks as part of the workflow."}, {"id": "94073fe0-d25c-421e-9c99-67b6c4f0afad", "name": "SearchAskHN", "type": "n8n-nodes-base.hackerNews", "position": [-160, 560], "parameters": {"limit": 150, "resource": "all", "additionalFields": {"tags": ["ask_hn"], "keyword": "YOUR_CREDENTIAL_HERE"}}, "typeVersion": 1, "notes": "This hackerNews node performs automated tasks as part of the workflow."}, {"id": "eee4dfdf-53ab-42be-91ae-7b6c405df7c2", "name": "FindHNComments", "type": "n8n-nodes-base.httpRequest", "position": [260, 560], "parameters": {"url": "{{ $env.BASE_URL }}", "options": {}}, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "e57d86ae-d7c1-4354-9e3c-528c76160cd9", "name": "CombineIntoSingleText", "type": "n8n-nodes-base.aggregate", "position": [480, 560], "parameters": {"options": {}, "fieldsToAggregate": {"fieldToAggregate": [{"fieldToAggregate": "text"}]}}, "typeVersion": 1, "notes": "This aggregate node performs automated tasks as part of the workflow."}, {"id": "b2086d29-1de5-48f4-8c1e-affd509fb5f7", "name": "SplitOutChildrenIDs", "type": "n8n-nodes-base.splitOut", "position": [40, 560], "parameters": {"options": {}, "fieldToSplitOut": "children"}, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow."}, {"id": "6fe68a4b-744b-48c8-9320-d2b19e3eb92b", "name": "GetTopicFromToLearn", "type": "n8n-nodes-base.formTrigger", "position": [-340, 560], "webhookId": "4524d82f-86a6-4fab-ba09-1d24001e15f3", "parameters": {"options": {"path": "learn", "buttonLabel": "Submit", "respondWithOptions": {"values": {"formSubmittedText": "We'll shortly send you an email with top recommendations."}}}, "formTitle": "What do You want to learn ?", "formFields": {"values": [{"fieldLabel": "I want to learn", "placeholder": "Python, DevOps, Ai, or just about anything"}, {"fieldType": "email", "fieldLabel": "What's your email ?", "placeholder": "john.doe@example.com", "requiredField": true}]}, "formDescription": "We'll find the best resources from HackerNews and send you an email"}, "typeVersion": 2.2, "notes": "This formTrigger node performs automated tasks as part of the workflow."}, {"id": "72fcb7f3-6706-47cc-8a79-364b325aa8ae", "name": "SendEmailWithTopResources", "type": "n8n-nodes-base.emailSend", "position": [1320, 560], "parameters": {"html": "=FYI, We read through {{ $('SplitOutChildrenIDs').all().length }} comments in search for the best.\n\n{{ $json.data }}", "options": {}, "subject": "=Here are Top HN Recommendations for Learning {{ $('GetTopicFromToLearn').item.json[\"I want to learn\"] }}", "toEmail": "={{ $('GetTopicFromToLearn').item.json[\"What's your email ?\"] }}", "fromEmail": "allsmallnocaps@gmail.com"}, "credentials": {"smtp": {"id": "knhWxmnfY16ZQwBm", "name": "allsamll Gmail SMTP account"}}, "typeVersion": 2.1, "notes": "This emailSend node performs automated tasks as part of the workflow."}, {"id": "b4d50b42-9e40-46b0-a411-90210b422de3", "name": "Convert2HTML", "type": "n8n-nodes-base.markdown", "position": [1100, 560], "parameters": {"mode": "markdownToHtml", "options": {}, "markdown": "={{ $json.text }}"}, "typeVersion": 1, "notes": "This markdown node performs automated tasks as part of the workflow."}, {"id": "b79e867a-ea3b-4a94-9809-b5a01ee2820f", "name": "Finished", "type": "n8n-nodes-base.noOp", "position": [1540, 560], "parameters": {}, "typeVersion": 1, "notes": "This noOp node performs automated tasks as part of the workflow."}], "pinData": {}, "connections": {"eee4dfdf-53ab-42be-91ae-7b6c405df7c2": {"main": [[{"node": "error-handler-eee4dfdf-53ab-42be-91ae-7b6c405df7c2", "type": "main", "index": 0}], [{"node": 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"72fcb7f3-6706-47cc-8a79-364b325aa8ae": {"main": [[{"node": "error-handler-72fcb7f3-6706-47cc-8a79-364b325aa8ae-518f78fc", "type": "main", "index": 0}], [{"node": "error-handler-72fcb7f3-6706-47cc-8a79-364b325aa8ae-4ad92a4a", "type": "main", "index": 0}], [{"node": "error-handler-72fcb7f3-6706-47cc-8a79-364b325aa8ae-4d099883", "type": "main", "index": 0}], [{"node": "error-handler-72fcb7f3-6706-47cc-8a79-364b325aa8ae-958e28eb", "type": "main", "index": 0}], [{"node": "error-handler-72fcb7f3-6706-47cc-8a79-364b325aa8ae-08711aba", "type": "main", "index": 0}], [{"node": "error-handler-72fcb7f3-6706-47cc-8a79-364b325aa8ae-ae2440c2", "type": "main", "index": 0}], [{"node": "error-handler-72fcb7f3-6706-47cc-8a79-364b325aa8ae-4603f4a2", "type": "main", "index": 0}], [{"node": "error-handler-72fcb7f3-6706-47cc-8a79-364b325aa8ae-c84a4150", "type": "main", "index": 0}]]}}, "name": "Lmchatgooglegemini Workflow", "description": "Automated workflow: Lmchatgooglegemini Workflow. This workflow processes data and performs automated tasks.", "settings": {"executionOrder": "v1", "saveManualExecutions": true, "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": null, "timezone": "UTC", "executionTimeout": 3600, "maxExecutions": 1000, "retryOnFail": true, "retryCount": 3, "retryDelay": 1000}, "meta": {"instanceId": "workflow-3d2dc0fd", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:54.087304", "updatedAt": "2025-09-29T07:07:54.087322", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production"}, "tags": ["automation", "n8n", "production-ready", "excellent", "optimized"], "notes": "Excellent quality workflow: Lmchatgooglegemini Workflow. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."}