# Ph Algorithm Guide > Understand how the Product Hunt ranking algorithm works. Use this skill to optimize your launch strategy based on known algorithm factors and behaviors. Use when this capability is needed. - Skill: `tomevault-io/ph-algorithm-guide` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/ph-algorithm-guide` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/ph-algorithm-guide/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/ph-algorithm-guide --- # Product Hunt Algorithm Guide This skill explains how Product Hunt's ranking algorithm works, helping you optimize your launch strategy based on publicly known factors. ## When to Use This Skill - Planning your launch strategy - Understanding why rankings change - Optimizing for algorithm factors - Diagnosing ranking issues - Setting realistic expectations ## Algorithm Fundamentals ### Key Insight **Upvotes ≠ Points** Product Hunt CTO Mike Kerzhner confirmed: "There is not a 1:1 correspondence between upvotes and points." ### What This Means - Not all votes count equally - Account quality matters - Engagement quality matters - Timing patterns matter ## Known Ranking Factors ### Factor 1: Vote Weight **Higher Weight Votes:** - Older accounts (months/years old) - Active accounts (regular engagement) - Diverse activity (not just voting) - Organic voting pattern **Lower Weight Votes:** - New accounts (recently created) - Inactive accounts (created but unused) - Single-purpose accounts - Suspicious patterns **Potentially Discounted:** - Brand new accounts - Accounts created same day - Bulk votes from same source - Coordinated voting patterns --- ### Factor 2: Engagement Depth **Positive Signals:** - Thoughtful comments - Discussion threads - Maker responses - Question-answer exchanges **Why It Matters:** - Comments indicate genuine interest - Discussions show community value - Engagement harder to fake than votes --- ### Factor 3: Velocity Pattern **What Algorithm Watches:** - Rate of upvote accumulation - Time distribution of votes - Spikes vs steady growth - Natural vs artificial patterns **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 ``` --- ### Factor 4: First 4 Hours **Special Period:** - Rankings randomized initially - Vote counts hidden publicly - Algorithm observing patterns - Critical for initial position **After 4 Hours:** - Rankings become vote-based - Position reflects accumulated strength - Top positions attract organic traffic - Momentum becomes visible --- ### Factor 5: Account Relationships **Flagged Patterns:** - Votes from connected accounts - Same IP address votes - Same device votes - Employee/team votes (weighted less) **Clean Patterns:** - Diverse geographic sources - Independent account histories - Organic discovery paths ## How Rankings Are Determined ### The Daily Cycle ``` 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. ``` ### Ranking Formula (Approximate) ``` Score = (Weighted Votes × Quality Multiplier) + (Engagement Depth Bonus) - (Spam/Manipulation Penalty) ``` Where: - Weighted Votes = Sum of all votes adjusted by account quality - Quality Multiplier = Based on product profile completeness - Engagement Depth = Comments, discussions, maker activity - Penalty = Deductions for suspicious patterns ## Optimizing for the Algorithm ### Do: Quality Over Quantity **Instead of:** Getting 200 votes from low-quality accounts **Aim for:** Getting 100 votes from active, established accounts ### Do: Stagger Engagement **Instead of:** All supporters voting at 12:01 AM **Aim for:** Supporters spread across 5-6 waves over 24 hours ### Do: Encourage Real Comments **Instead of:** "Please upvote!" **Aim for:** "Would love your honest thoughts in the comments!" ### Do: Respond to Everything **Why:** - Shows you're present - Creates discussion threads - Signals genuine launch - Builds engagement depth ## Algorithm Behaviors ### What Triggers Scrutiny 1. **Vote Velocity Spikes** - Sudden burst of votes - Then dramatic dropoff - Unnatural acceleration 2. **Account Patterns** - Multiple new accounts - Same creation timeframe - Similar activity patterns 3. **Geographic Clustering** - All votes from one location - No geographic diversity - Pattern doesn't match product 4. **Timing Uniformity** - Votes in exact intervals - Automated-looking patterns - Unnatural consistency ### What the Algorithm Rewards 1. **Organic Growth** - Steady accumulation - Natural peaks and valleys - Timezone-appropriate waves 2. **Diverse Sources** - Various account ages - Different activity levels - Geographic spread 3. **Deep Engagement** - Multiple comments - Discussion threads - Question-answer pairs 4. **Maker Presence** - Quick responses - Genuine conversation - Helpful attitude ## Featured vs Unfeatured ### Getting Featured **Requirements (Unofficial):** - Product is clearly explained - Meets category standards - No obvious manipulation - Complete profile **Helps Your Chances:** - Quality visuals - Clear value proposition - Active maker engagement - Previous PH presence ### Getting Unfeatured **Common Causes:** - Vote manipulation detected - Spam reports received - Policy violations - Low-quality product **Recovery:** - Usually not possible same day - Contact support (respectfully) - Learn for next time ## Realistic Expectations ### What You Can Control - Quality of your product - Quality of your assets - Your community engagement - Your response rate - Your outreach authenticity ### What You Can't Control - Competitor strength - Algorithm behavior - Vote weighting details - Featuring decisions - Final ranking ### Healthy Mindset ``` 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 ``` ## Algorithm Myths Debunked ### Myth: "Having a famous hunter guarantees success" **Reality:** 79% of featured products are self-hunted. Hunter followers help awareness but don't guarantee votes. ### Myth: "More votes always means higher rank" **Reality:** Vote quality matters more than quantity. 50 high-weight votes can beat 100 low-weight votes. ### Myth: "The first hour determines everything" **Reality:** First 4 hours matter, but the entire 24 hours count. Late momentum can overcome slow starts. ### Myth: "Weekend launches are easy wins" **Reality:** Lower competition, but also lower traffic. Easier badge, fewer users. ### Myth: "The algorithm is random/unfair" **Reality:** It's designed to surface genuinely interesting products. Work with it, not against it. ## Output Format ``` 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] ``` --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/yoanbernabeu) — claim your Tome and manage your conversions.