Reddit Technical Writing Playbook #
Comprehensive guide for sharing engineering post-mortems, open-source libraries, architecture deep dives, and technical blogs across Reddit without getting banned, downvoted, or filtered as spam.
1. Platform Culture & Self-Promotion Rules #
The Golden Rule: "Redditor with a Website" #
- The 9:1 Community Ratio: For every 1 submission linking to your own work, you must have at least 9–10 substantive, organic, non-promotional comments and contributions across technical subreddits.
- The "Value-First" / "Zero-Click" Ethos: The Reddit post must provide 100% of the core lesson, benchmark, and architectural takeaway directly on Reddit. Readers must not be forced to leave Reddit to get value. Outbound links to GitHub or blogs serve only as references.
- No Paywalls or Lead Gates: Never link to Medium paywalls, gated Substacks, or sites with email capture modals.
- Transparent Affiliation: Always disclose your relationship upfront ("Disclaimer: I'm the author of this tool / an engineer at...").
2. Subreddit Ecosystems #
| Subreddit | Policies & Content Preferences | Rules & Gotchas |
|---|---|---|
r/programming |
CS theory, compiler internals, language design, major post-mortems. | Zero tolerance for beginner tutorials, personal promotion, or SaaS. Direct link posts must use the exact original article title. |
r/golang / r/rust |
Package releases, concurrency deep-dives, runtime/GC internals. | Use flairs ([Showcase], [Discussion]). Zero tolerance for AI-generated posts or engagement bait. |
r/webdev |
Tooling, frameworks, performance benchmarks. | Showcase posts strictly restricted to Saturdays using [Showoff Saturday] flair. |
r/MachineLearning |
Research implementations, benchmark papers, novel architectures. | Mandatory title tags: [P] (Project), [R] (Research), [D] (Discussion). Bare links without writeups are removed. |
r/devops / r/sysadmin |
Infrastructure war stories, post-mortems, CI/CD failures. | Weekly promo thread for tools. Upfront affiliation disclosure mandatory. |
3. Title Engineering #
Tech redditors immediately downvote marketing hype, clickbait questions, and vague promises.
Anti-Patterns ❌ #
- ❌ "Why AI will change programming forever" (Hyperbolic hype)
- ❌ "I built a tool that 10x's your workflow!" (Infomercial cringe)
- ❌ "You won't believe how we solved our database latency" (Clickbait)
High-Converting Formulas ✅ #
- Formula 1 (Tool Launch):
[Tool Name]: An open-source [Language] [Component] designed for [Problem] with [Metric/Architecture]- Example: "Show Reddit: Govalid – A compile-time schema validator for Go that avoids reflection and runtime allocations"
- Formula 2 (Post-Mortem):
How [Team] diagnosed and fixed [Failure] at [Scale] ([Root Cause])- Example: "Post-mortem: How an unnoticed transaction wraparound caused a 45-minute PostgreSQL outage at 10k req/s"
- Formula 3 (Migration / Benchmark):
Why we migrated [A] to [B]: Benchmarks, memory profiles, and trade-offs- Example: "Why we replaced our Redis cluster with a local SQLite + WAL setup: Real-world latency and cost breakdown"
4. Post Body Blueprints #
Blueprint: The "Value-First" Case Study / Post-Mortem #
markdown
## The Problem
We were running a webhook ingestion service in [Language] handling [Scale]. Under peak loads, we experienced [Specific failure mode, e.g. thread starvation / GC pauses of 400ms].
## Architectural Bottlenecks Identified
After profiling with [Tool, e.g. pprof / perf], we identified two primary bottlenecks:
1. **[Bottleneck 1]**: [Root cause, e.g., lock contention on shared mutex]
2. **[Bottleneck 2]**: [Root cause, e.g., memory churn in JSON deserialization]
## What We Changed (The Solution)
### 1. [Architectural Change 1]
Instead of [Old approach], we switched to [New approach]:
// 4-space indent for clean rendering across all Reddit clients
func processPayload(buf *bytes.Buffer) error {
obj := payloadPool.Get().(*Payload)
defer payloadPool.Put(obj)
return obj.UnmarshalVT(buf.Bytes())
}
## Benchmark & Production Results
| Metric | Before | After | Delta |
| :--- | :--- | :--- | :--- |
| P99 Latency | 420ms | 18ms | -95% |
| Memory Footprint | 2.4GB | 180MB | -92% |
| CPU Usage | 78% | 35% | -55% |
## Trade-offs & Limitations
- Increased code complexity from manual object pool lifecycle management.
- Static binary serialization requires strict schema contract synchronization.
---
*Full benchmarks and flame graphs are documented on my engineering blog: [Link]*
5. Comment Engagement & Author Participation #
- The Golden Window (First 1–2 Hours): Be online to answer the first 3–5 technical questions within 10 minutes.
- Radical Honesty on Trade-offs: Never claim your tool is better in every way. Clearly specify the exact constraints and use cases where your solution makes sense vs where existing tools are superior.
- Accept Technical Corrections: When peers point out an unhandled edge case or race condition, thank them and open an issue immediately. Humility turns critics into advocates.