// Understand how the Product Hunt ranking algorithm works. Use this skill to optimize your launch strategy based on known algorithm factors and behaviors.
| name | ph-algorithm-guide |
| description | Understand how the Product Hunt ranking algorithm works. Use this skill to optimize your launch strategy based on known algorithm factors and behaviors. |
This skill explains how Product Hunt's ranking algorithm works, helping you optimize your launch strategy based on publicly known factors.
Upvotes ≠ Points
Product Hunt CTO Mike Kerzhner confirmed: "There is not a 1:1 correspondence between upvotes and points."
Higher Weight Votes:
Lower Weight Votes:
Potentially Discounted:
Positive Signals:
Why It Matters:
What Algorithm Watches:
Healthy Pattern:
Hour 1: [████████░░] 40 votes
Hour 2: [██████░░░░] 35 votes
Hour 3: [███████░░░] 38 votes
Hour 4: [█████████░] 45 votes
Suspicious Pattern:
Hour 1: [██████████] 150 votes (spike!)
Hour 2: [█░░░░░░░░░] 5 votes
Hour 3: [█░░░░░░░░░] 3 votes
Hour 4: [█░░░░░░░░░] 2 votes
Special Period:
After 4 Hours:
Flagged Patterns:
Clean Patterns:
12:01 AM PST → Day begins
↓
Hours 0-4: Randomized ranking
↓
Hour 4+: Algorithm-sorted ranking
↓
Throughout day: Continuous re-ranking
↓
11:59 PM PST → Final rankings locked
↓
Awards: POTD, Top 5, etc.
Score = (Weighted Votes × Quality Multiplier)
+ (Engagement Depth Bonus)
- (Spam/Manipulation Penalty)
Where:
Instead of: Getting 200 votes from low-quality accounts
Aim for: Getting 100 votes from active, established accounts
Instead of: All supporters voting at 12:01 AM
Aim for: Supporters spread across 5-6 waves over 24 hours
Instead of: "Please upvote!"
Aim for: "Would love your honest thoughts in the comments!"
Why:
Vote Velocity Spikes
Account Patterns
Geographic Clustering
Timing Uniformity
Organic Growth
Diverse Sources
Deep Engagement
Maker Presence
Requirements (Unofficial):
Helps Your Chances:
Common Causes:
Recovery:
Focus on: Building something people love
Not on: Gaming the system
Focus on: Genuine community
Not on: Vote numbers
Focus on: Long-term reputation
Not on: One-day ranking
Reality: 79% of featured products are self-hunted. Hunter followers help awareness but don't guarantee votes.
Reality: Vote quality matters more than quantity. 50 high-weight votes can beat 100 low-weight votes.
Reality: First 4 hours matter, but the entire 24 hours count. Late momentum can overcome slow starts.
Reality: Lower competition, but also lower traffic. Easier badge, fewer users.
Reality: It's designed to surface genuinely interesting products. Work with it, not against it.
ALGORITHM OPTIMIZATION CHECK
VOTE QUALITY:
- Expected high-weight votes: [Number]
- Expected low-weight votes: [Number]
- Risk of discounted votes: [Low/Medium/High]
ENGAGEMENT PLAN:
- Comment depth strategy: [Description]
- Maker response plan: [Description]
- Discussion seeding: [Description]
VELOCITY PATTERN:
- Wave 1 timing: [Time]
- Wave 2 timing: [Time]
- Expected distribution: [Natural/Concerning]
RISK FACTORS:
- [Risk 1]: [Mitigation]
- [Risk 2]: [Mitigation]
REALISTIC TARGETS:
- Conservative estimate: [Rank range]
- Optimistic estimate: [Rank range]
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