Product Hunt Scout

Product Hunt Scout

Track Product Hunt launches, upvote trends, maker activity, and user comments. Extracts competitive intelligence and community feedback from PH's public content.

Output directory: ~/Desktop/{slug}_ph_{YYYY-MM-DD}/

What It Extracts

Launch Data

• Product name, tagline, description
• Upvote count and rank (today / this week / this month)
• Maker names and backgrounds
• Launch date
• Category / topics
• Links (website, GitHub, App Store)

Community Signals

• Top comments (positive and critical)
• Maker responses
• Hunter background (influential vs unknown)
• Follower-to-upvote ratio (organic vs paid)

Category Trends

• Most upvoted products in a category over time
• Recurring pain points in comments
• Features users explicitly praise or request

Data Sources

Pipeline

Step 1: Category or daily feed

composio execute BROWSER_TOOL_CREATE_TASK -d '{
  "task":     "Capture the top 20 launches: name, tagline, upvote count, rank if shown, hunter, maker(s), launch date, topics, and the linked website URL. Return as a JSON array.",
  "startUrl": "https://www.producthunt.com/topics/{TOPIC}"
}'

For today's top: swap the URL for https://www.producthunt.com.

Step 2: Discover older launches

composio execute COMPOSIO_SEARCH_WEB -d '{ "query": "site:producthunt.com {TOPIC} {YEAR}" }'

Step 3: Individual product page (deep)

composio execute BROWSER_TOOL_CREATE_TASK -d '{
  "task":     "Capture: tagline, full description, upvote count, all maker names, hunter, launch date, all linked URLs, and the top 20 comments sorted by upvotes — each as { username, text, upvotes }, plus any maker responses. Scroll until 20 comments are visible.",
  "startUrl": "https://www.producthunt.com/posts/{PRODUCT_SLUG}"
}'

Step 4: Maker research

composio execute BROWSER_TOOL_CREATE_TASK -d '{
  "task":     "Capture the maker'''s previous launches (name, year, upvotes), their bio, and any company/team information visible.",
  "startUrl": "https://www.producthunt.com/@{MAKER_USERNAME}"
}'

Output Format

---
topic: {TOPIC}
total_products: {N}
date_range: {time period}
researched_at: {ISO date}
---

## Top Products

### 1. {Product Name}
**Tagline**: {tagline}
**Upvotes**: {N} | **Rank**: #{N} of the day/week
**URL**: https://producthunt.com/posts/{slug}
**Website**: {URL}
**Launched**: {date}
**Maker**: {name} (@{handle})
**Topics**: {topic1}, {topic2}

**Description**:
{product description}

**Top Comments**:
> "{comment}" — {username}, {upvotes}↑

> "{comment}" — {username}

**Maker Response**:
> "{maker quote}"

**Sentiment**: Positive | Mixed | Critical
**Key Praise**: {what users love}
**Key Criticism**: {what users complain about}

---

## Category Trends

| Signal | Finding |
|--------|---------|
| Most upvoted feature | {feature mentioned most} |
| Recurring pain point | {problem in comments} |
| Common alternatives mentioned | {tools compared to} |
| Launch timing | {what day/time gets traction} |

## Maker Landscape
| Maker | Products Launched | Notable Background |
|-------|------------------|--------------------|
| {name} | {N} | {company/background} |

Key Use Cases

1. Competitive monitoring — track competitors launching on PH
2. Market mapping — what's been built in a category over the past year
3. Launch research — what makes a successful PH launch (comments, timing)
4. Founder discovery — find active builders in a space
5. User feedback mining — real user reactions to new products