--- title: "Workflow to n8n Workflow to Learn Anything From Hn Get Top Resource Recommendations From Hacker News" platform: "Promptally" canonical_url: "https://app.promptally.dev/p/workflow-n8n-workflow-to-learn-anything-from-hn-get-top-resource-recommendations-from-hacker-news" modality: "WORKFLOW" category: "n8n Automation Blueprints" compatible_models: [Universal / Model Agnostic] access_tier: "Free Public Artifact (No Auth Required)" license: "MIT" --- # Workflow to n8n Workflow to Learn Anything From Hn Get Top Resource Recommendations From Hacker News **Summary:** Workflow to n8n Workflow to Learn Anything From Hn Get Top Resource Recommendations From Hacker News is a verified WORKFLOW blueprint on Promptally in n8n Automation Blueprints optimized for leading AI models. Multi-step automated node blueprint for n8n Workflow to Learn Anything From Hn Get Top Resource Recommendations From Hacker News. Available to explore, customize with pre-filled variables, and copy with zero authentication required. ## Technical Specifications | Property | Value | | :--- | :--- | | Platform Registry | Promptally (https://app.promptally.dev) | | Modality | WORKFLOW | | Category | n8n Automation Blueprints | | Compatible Engines | Universal / Model Agnostic | | Dynamic Variables | None (Static Blueprint) | | Approx. Token Length | 2,102 | | Access Tier | Free Public Artifact (No Auth Required) | | License | MIT | ### Pre-Filled Template & Production Source ````json { "nodes": [ { "id": "41183066-0045-4a75-ba23-42f4efcfeccc", "name": "Google Gemini Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 720, 720 ], "parameters": { "options": {}, "modelName": "models/gemini-1.5-flash" }, "credentials": { "googlePalmApi": { "id": "Hx1fn2jrUvojSKye", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1 }, { "id": "eb061c39-7a4d-42e7-bb42-806504731b11", "name": "Basic LLM Chain", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 700, 560 ], "parameters": { "text": "=Your Task is to find the best resources to learn {{ $('GetTopicFromToLearn').item.json[\"I want to learn\"] }}. \n\nI have scraped the HackerNews and The following is the list of comments from HackerNews on topic about Learning {{ $('GetTopicFromToLearn').item.json[\"I want to learn\"] }}\n\n\nFocus only on comments that provide any resouces or advice or insight about learning {{ $('GetTopicFromToLearn').item.json.Learn }}. 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 \n\n### Category 1\n\n- **Resource 1** - One line description\n- **Resource 2** - One line description\n- ... \n\n\n\n### Category 2\n\n- **Resource 1** - One line description\n- **Resource 2** - One line description\n- ... \n\n\n\n...\n```\n\nHere is the list of HackerNews Comments.\n\n{{ $json.text }}", "promptType": "define" }, "typeVersion": 1.5 }, { "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": "={{ $json[\"I want to learn\"] }}" } }, "typeVersion": 1 }, { "id": "eee4dfdf-53ab-42be-91ae-7b6c405df7c2", "name": "FindHNComments", "type": "n8n-nodes-base.httpRequest", "position": [ 260, 560 ], "parameters": { "url": "=https://hacker-news.firebaseio.com/v0/item/{{ $json.children }}.json?print=pretty", "options": {} }, "typeVersion": 4.2 }, { "id": "e57d86ae-d7c1-4354-9e3c-528c76160cd9", "name": "CombineIntoSingleText", "type": "n8n-nodes-base.aggregate", "position": [ 480, 560 ], "parameters": { "options": {}, "fieldsToAggregate": { "fieldToAggregate": [ { "fieldToAggregate": "text" } ] } }, "typeVersion": 1 }, { "id": "b2086d29-1de5-48f4-8c1e-affd509fb5f7", "name": "SplitOutChildrenIDs", "type": "n8n-nodes-base.splitOut", "position": [ 40, 560 ], "parameters": { "options": {}, "fieldToSplitOut": "children" }, "typeVersion": 1 }, { "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 }, { "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 }, { "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 }, { "id": "b79e867a-ea3b-4a94-9809-b5a01ee2820f", "name": "Finished", "type": "n8n-nodes-base.noOp", "position": [ 1540, 560 ], "parameters": {}, "typeVersion": 1 } ], "pinData": {}, "connections": { "SearchAskHN": { "main": [ [ { "node": "SplitOutChildrenIDs", "type": "main", "index": 0 } ] ] }, "Convert2HTML": { "main": [ [ { "node": "SendEmailWithTopResources", "type": "main", "index": 0 } ] ] }, "FindHNComments": { "main": [ [ { "node": "CombineIntoSingleText", "type": "main", "index": 0 } ] ] }, "Basic LLM Chain": { "main": [ [ { "node": "Convert2HTML", "type": "main", "index": 0 } ] ] }, "GetTopicFromToLearn": { "main": [ [ { "node": "SearchAskHN", "type": "main", "index": 0 } ] ] }, "SplitOutChildrenIDs": { "main": [ [ { "node": "FindHNComments", "type": "main", "index": 0 } ] ] }, "CombineIntoSingleText": { "main": [ [ { "node": "Basic LLM Chain", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "Basic LLM Chain", "type": "ai_languageModel", "index": 0 } ] ] }, "SendEmailWithTopResources": { "main": [ [ { "node": "Finished", "type": "main", "index": 0 } ] ] } } } ```` ## Verified Execution Output / Benchmark ```text Verified execution output available on the canonical page. ``` ## Related Blueprints on Promptally - 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