Product Launch Red Team

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_152":153,"_154":155},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":16,"_18":19,"_17":-7,"_115":-5,"_20":116,"_22":117,"_118":119,"_120":121,"_25":122,"_24":-5,"_123":-5,"_124":-5,"_125":53,"_126":127,"_128":44,"_129":-5,"_130":-5,"_131":132},"routes/_app.x.$handle.$name.branch.$branch.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":-7,"_25":26,"_27":-5,"_28":-5,"_29":-5,"_30":-5,"_31":-5},"handle","real","name","Productredteam","branchName","main","version","path","","project",{"_33":61,"_13":14,"_45":62,"_63":-5,"_64":53,"_65":66,"_67":66,"_68":-5,"_69":-5,"_70":71,"_72":37,"_73":44,"_74":44,"_75":-5,"_76":77,"_78":79,"_80":-5,"_81":-5,"_82":-5,"_83":-5,"_84":85,"_86":85,"_87":88,"_89":88,"_90":88,"_91":85,"_92":85,"_93":94,"_95":96,"_97":98,"_99":53},"tree",[56],"file","contents",[32],"upstream","pull","ahead","behind","envVars",{"_33":34,"_13":35,"_36":37,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_17":47,"_48":49,"_50":51,"_52":53,"_54":-5,"_18":55},"id","6d3ef6e6-73e3-11f0-bb0f-0224a6c84d84","main.tsx","fileId","1933810c-73e3-11f0-afce-0224a6c84d84","parentId","branchId","1931bed0-73e3-11f0-afce-0224a6c84d84","branchVersion",4,"latest",true,"createdAt",["D",1754608107598],3,"fileType","http","content","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n// @ts-ignore\nimport { Hono } from \"npm:hono@4.4.12\";\n// @ts-ignore\nimport { cors } from \"npm:hono@4.4.12/cors\";\n// @ts-ignore\nimport Parser from \"npm:rss-parser@3.13.0\";\n\n// --- AI BEHAVIORAL GUIDELINES ---\nconst PRODUCT_RED_TEAM_PROMPT = `\nYou are an AI embodying the persona of a skeptical, pattern-matching Partner at a top-tier Venture Capital firm. You are conducting due diligence on a new product pitch. Your sole purpose is to identify vectors of failure. You are clinical, direct, and your arguments are grounded in the live market data provided.\n\n**CRITICAL INSTRUCTION: You must use the provided 'Live Market Data' (Reddit comments and News headlines) to construct a compelling, evidence-based argument for why this product is likely to fail. Do not offer encouragement or solutions.**\n\n**Your Due Diligence Report MUST follow this exact structure:**\n\n1. **The Pitch (1-Sentence Summary):** Distill the user's product proposal into a single, concise sentence.\n\n2. **Market Reality Check (Analysis of News):** Based on the provided news headlines, what is the current state of this market? Is it saturated, contracting, a regulatory minefield, or a 'hype bubble' about to burst? Cite specific headlines.\n\n3. **The Unfiltered User Voice (Analysis of Reddit):** Based on the provided Reddit comments, what are the raw, unfiltered complaints, desires, and frustrations of users in this space? Do they complain about the problem the user is trying to solve, or something else entirely? Does the proposed 'differentiator' align with any real user needs expressed here?\n\n4. **Primary Vectors of Failure:** Identify the 2-3 most likely reasons this product will fail. Each vector must be a separate point and be backed by specific evidence from the news or Reddit data.\n * **Example:** \"**Vector 1: Market Saturation & Incumbent Strength.** The pitch to enter the meal-planning space overlooks the market dominance of established players. A news headline mentions 'MyFitnessPal crosses 200M users,' indicating an extremely high barrier to entry for new apps seeking to gain traction.\"\n\n5. **Tough Questions for the Founder:** Conclude with a list of 3-4 pointed, challenging questions that the founder must have solid answers for. These questions must arise from the weaknesses you've identified.\n`;\n\n// --- DATA FETCHING HELPERS ---\nasync function fetchNews(query: string) {\n const parser = new Parser();\n const encodedQuery = encodeURIComponent(query);\n const RSS_URL =\n `https://news.google.com/rss/search?q=${encodedQuery} when:7d&hl=en-US&gl=US&ceid=US:en`;\n\n try {\n const feed = await parser.parseURL(RSS_URL);\n return feed.items.slice(0, 7).map((item) => ({\n title: item.title,\n snippet: item.contentSnippet,\n }));\n } catch (error) {\n console.error(\"Failed to parse RSS feed:\", error.message);\n return [{\n title: \"Could not fetch recent news via RSS.\",\n snippet: \"Internal Error\",\n }];\n }\n}\n\nasync function fetchRedditComments(query: string) {\n const subreddits = [\"apps\", \"ProductManagement\", \"SideProject\"];\n const allPosts = [];\n for (const subreddit of subreddits) {\n try {\n const encodedQuery = encodeURIComponent(query);\n const url =\n `https://www.reddit.com/r/${subreddit}/search.json?q=${encodedQuery}&sort=relevance&t=month&restrict_sr=on`;\n const response = await fetch(url, {\n headers: { \"User-Agent\": \"Mozilla/5.0\" },\n });\n const data = await response.json();\n const posts = data.data?.children?.map((p) => ({\n title: p.data.title,\n text: p.data.selftext?.substring(0, 200) || \"No text.\",\n subreddit: p.data.subreddit,\n })) || [];\n allPosts.push(...posts);\n } catch (e) {\n // Ignore errors for individual subreddits\n }\n }\n return allPosts.slice(0, 10);\n}\n\n// --- HTML & FRONTEND ---\nfunction generateHtml() {\n return `\n\n\n \n \n Product Launch Red Team\n \n \n \n \n\n\n\n

\n \n

Scanning news feeds... Analyzing user sentiment on Reddit... Preparing due diligence report...

\n\n\n`;\n}\n\n// --- HONO ROUTER & MAIN HANDLER ---\nconst app = new Hono();\napp.use(\"*\", cors());\napp.get(\"/\", (c) => c.html(generateHtml()));\n\napp.post(\"/api/report\", async (c) => {\n try {\n const { description, differentiator, competitors } = await c.req.json();\n if (!description || !differentiator || !competitors) {\n return c.json({ error: \"All fields are required.\" }, 400);\n }\n\n // Construct search queries from user input\n const newsQuery = `${description.split(\" \").slice(0, 5).join(\" \")} OR ${\n competitors.split(\",\")[0]\n }`;\n const redditQuery = `${competitors.split(\",\")[0].trim()}`;\n\n // Fetch live data concurrently\n const [newsData, redditData] = await Promise.all([\n fetchNews(newsQuery),\n fetchRedditComments(redditQuery),\n ]);\n\n const liveMarketData = {\n recentNews: newsData,\n redditComments: redditData,\n };\n\n const userInput = `\n --- PRODUCT PITCH ---\n Description: ${description}\n Primary Differentiator: ${differentiator}\n Main Competitors: ${competitors}\n\n --- LIVE MARKET DATA ---\n ${JSON.stringify(liveMarketData, null, 2)}\n `;\n\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: PRODUCT_RED_TEAM_PROMPT },\n { role: \"user\", content: userInput },\n ],\n temperature: 0.5,\n });\n\n const report = completion.choices[0].message.content;\n return c.text(report);\n } catch (error) {\n console.error(\"Report Generation Error:\", error);\n return c.json({\n error: error.message || \"An internal server error occurred.\",\n }, 500);\n }\n});\n\nexport default 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