Daily Product Digest

When to Use

• Founder wants a daily or weekly summary of what's happening in the startup/product ecosystem
• Founder wants to track competitor launches and market trends
• Founder wants to identify products launching in their space or adjacent spaces
• Founder wants launch inspiration or to study what's getting traction
• Founder wants to spot emerging trends, tools, or technologies relevant to their market

Context Required

• Founder's product category and market (to filter for relevance)
• Sources to monitor (Product Hunt, Hacker News, Indie Hackers, Reddit, etc.)
• Frequency (daily, weekly, or on-demand)
• What they care about most (competitor activity, market trends, launch tactics, technology shifts)

Workflow

1. Define monitoring scope — based on startup-context, identify:
   • Keywords and categories to track (e.g., "developer tools", "AI", "fintech")
   • Direct competitors to watch for
   • Adjacent markets that could expand into your space
2. Scan sources — check each platform for the specified time period:
   • Product Hunt: top launches, upvote counts, maker comments, notable hunters
   • Hacker News: front page stories, Show HN posts, Ask HN threads, comment sentiment
   • Indie Hackers: new launches, revenue milestones, popular discussions
   • Reddit: relevant subreddit activity (r/SaaS, r/startups, r/[your-niche])
3. Filter for relevance — from everything found, flag items that are:
   • Direct competitors or alternatives to the founder's product
   • In the same category or solving adjacent problems
   • Demonstrating a trend or shift relevant to the founder's market
   • Using interesting launch tactics worth studying
4. Analyze what's working — for top-performing launches/posts, note:
   • What made it resonate (positioning, timing, problem framing)
   • Community reaction and sentiment
   • Potential implications for the founder's product or market
5. Generate the digest — produce a concise, actionable summary.

Output Format

## Product Digest — [Date or Date Range]

### Relevant to You
Items directly related to your market ([category]).

**[Product/Post Name]** — [one-line description]
- Source: [Product Hunt / HN / etc.] | [upvotes/points] | [link]
- Why it matters: [relevance to founder's product/market]
- Takeaway: [what to learn or watch]

### Competitor Activity
- [Competitor] launched [feature/product] on [platform] — [reaction summary]

### Market Trends
- **[Trend]:** [2-3 sentence summary of what's shifting and why it matters]

### Launch Tactics Worth Noting
- [Product] did [tactic] and got [result] — applicable to your launch because [reason]

### Worth Reading
- [Title] ([source]) — [why it's worth the founder's time]

Frameworks & Best Practices

Source-specific signals:

Source	What to watch	Signal of quality
Product Hunt	Top 5 daily launches	500+ upvotes, maker engagement in comments
Hacker News	Front page, Show HN	100+ points, substantive comment threads
Indie Hackers	Product launches, milestones	Revenue numbers shared, detailed build stories
Reddit	Niche subreddits	High comment-to-upvote ratio, genuine discussion

What makes a digest useful:

• Ruthless filtering — a 20-item list is noise. Pick 3-5 items that actually matter to this founder's situation.
• "So what?" for each item — don't just report what launched. Explain why the founder should care.
• Actionable takeaways — end each item with what the founder could do (watch this competitor, study this tactic, consider this positioning angle).
• Pattern recognition — after doing this regularly, highlight emerging patterns ("third AI coding tool this week targeting enterprise — market is heating up").

Common mistakes:

• Reporting everything instead of filtering for relevance
• Missing the comments/discussion (often more valuable than the launch itself)
• Treating all sources equally (HN comments are gold for developer sentiment; PH upvotes can be gamed)
• Not connecting findings to the founder's own strategy

Related Skills

• competitive-analysis — for deep competitor research beyond daily monitoring
• market-research — for structured market sizing and trend analysis
• launch-strategy — to apply launch tactics observed in the wild

Examples

Prompt: "What launched on Product Hunt and Hacker News today that's relevant to my API monitoring startup?"

Good output includes: Filtered digest of today's launches related to APIs, monitoring, observability, or developer tools. For each relevant item: what it does, how it performed, community reaction, and whether it's a competitor or adjacent product.

Prompt: "Give me a weekly roundup of what's happening in the AI coding tools space."

Good output includes: Summary of AI coding launches/updates across PH, HN, and Reddit from the past week, trend analysis (what themes keep recurring), competitor moves, and 2-3 tactical observations the founder can act on.