Product Launch Red Team

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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 app.fetch;","deleted","label",[98],"permalink","https://www.val.town/x/real/Productredteam/code/main.tsx","extension","actionData","errors"]