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sg-tree.eu / guides / show-hn-product-hunt-github-launch-playbook
2026-10-20 · 5 min read
docs/show-hn-product-hunt-github-launch-playbook.md LAUNCH CHECKLIST

The 14-day pre-launch checklist for Show HN and Product Hunt

A top-three placement on Hacker News (Show HN) or Product Hunt generates 5,000 to 18,000 unique developer visits within 12 hours. However, launching a repository with zero initial social proof destroys up to 80% of this inbound traffic.

When an engineer arrives at a repository displaying 8 stars and 0 forks, cognitive bias frames the tool as an unverified prototype. Star conversion rates on 0-star launches average 0.7%. For a repository sitting at 350-500 stars with 40+ forks and active technical issue threads, conversion jumps to 6.5% - 9.1%. Below is the deterministic 14-day pre-launch timeline.

1. The 14-day pre-launch schedule (T-14 to T-1)

Timeline Engineering Milestone Target Deliverables
T-14 to T-12 Baseline pacing calibration Initialize +500 stars, +50 forks, +20 watchers on a 14-day Gaussian curve (μ = 7, σ = 2.8).
T-11 to T-9 Documentation & benchmark hardening Format README with zero-config install commands, hardware benchmark tables, and architecture flowcharts.
T-8 to T-6 Technical issue seeding Deploy 5 AST-aware issues referencing source files (error bounds, zero-copy buffers, typing invariants).
T-5 to T-3 Directory PRs & contributor outreach Submit PRs to 2-3 awesome-* lists; deliver technical release notes to 300 competitor contributors.
T-2 to T-1 Clean runtime verification Test installation, build, and tests in clean Docker containers; verify llms.txt and Open Graph previews.

2. Technical issue seeding and repository hygiene

A repository with hundreds of stars but zero open or closed issues triggers suspicion during technical review. Real developer adoption generates technical questions, performance benchmarks, and edge-case reports.

As part of the Launch Sprint protocol, five AST-aware technical issues are seeded directly into the repository conversation:

  • Reproducible benchmark comparison: A detailed benchmark script comparing throughput (ops/sec) and memory allocation against established incumbents.
  • Edge-case input handling: Discussion of boundary condition behavior in core parsing or serialization logic.
  • Typing invariant hardening: Type-safety verification across TypeScript generics or Rust trait bounds.
  • Architecture roadmap RFC: Proposal for upcoming protocol extensions or modular plugin interfaces.
  • Docker and CI integration: Verification of minimal container footprint and automated testing pipelines.

3. Timing the UTC launch window to trigger GitHub Trending

Timing your public post is critical to stacking organic momentum onto scheduled velocity. The optimal submission window for Show HN is 13:00 to 15:00 UTC (09:00-11:00 EST / 06:00-08:00 PST / 15:00-17:00 CET):

  • Diurnal overlap: Captures active US East Coast morning developers, European afternoon maintainers, and Asian late-night reviewers simultaneously.
  • Velocity stacking: Day 14 of the 14-day Gaussian schedule reaches peak delivery rate (58 stars/day). When organic Show HN upvotes convert to GitHub stars, the organic arrivals stack directly onto the scheduled peak.
  • Crossing Trending thresholds: Combined velocity clears 180-350 stars in a single 24-hour window, meeting the qualification threshold for github.com/trending in your language category and securing a slot on Trendshift daily leaderboards.
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