Product Hunt Thread Summarizer

import requests

PH_TOKEN = "your-producthunt-developer-token"

QUERY = """
query GetPost($slug: String!) {
  post(slug: $slug) {
    name
    tagline
    votesCount
    commentsCount
    comments(first: 50, order: VOTES_COUNT) {
      edges {
        node {
          body
          votesCount
          user { name }
        }
      }
    }
  }
}
"""

def fetch_comments(slug: str) -> dict:
    response = requests.post(
        "https://api.producthunt.com/v2/api/graphql",
        headers={"Authorization": f"Bearer {PH_TOKEN}"},
        json={"query": QUERY, "variables": {"slug": slug}}
    )
    return response.json()["data"]["post"]

data = fetch_comments("some-product-launch")
comments = [e["node"]["body"] for e in data["comments"]["edges"]]
print(f"Fetched {len(comments)} comments for: {data['name']}")

import openai
import json

client = openai.OpenAI(
    api_key="your-oneinfer-api-key",
    base_url="https://api.oneinfer.ai/v1"
)

def summarize_thread(product_name: str, comments: list[str]) -> dict:
    comments_text = "\n---\n".join(comments[:40])

    response = client.chat.completions.create(
        model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
        messages=[
            {"role": "system", "content": (
                "You are a product analyst. Analyze the user comments and return a JSON object with: "
                "overall_sentiment (positive/mixed/negative), key_praise (list of 3), "
                "key_concerns (list of 3), top_questions (list of 3), one_line_verdict (string)."
            )},
            {"role": "user", "content": (
                f"Product: {product_name}\n\nComments:\n{comments_text}"
            )}
        ],
        response_format={"type": "json_object"}
    )
    return json.loads(response.choices[0].message.content)

summary = summarize_thread(data["name"], comments)
print(json.dumps(summary, indent=2))

{
  "overall_sentiment": "positive",
  "key_praise": [
    "Incredibly fast setup — had it running in under 5 minutes",
    "The UI is clean and intuitive",
    "Great pricing compared to alternatives"
  ],
  "key_concerns": [
    "No team collaboration features yet",
    "Missing export to PDF option",
    "Mobile app would be a game changer"
  ],
  "top_questions": [
    "Is there an API available?",
    "What's the roadmap for enterprise features?",
    "Can this integrate with Slack?"
  ],
  "one_line_verdict": "Strong launch with enthusiastic early adopters; team features are the most requested next step."
}