📣 AWS marketing and community outreach plan

Summary

Plan for getting zae-limiter visibility through AWS channels and community.

Assets We Have

• ✅ SA relationship
• ✅ Interest in Community Builders program
• ✅ DynamoDB-native architecture (single-table design, TransactWriteItems)
• ✅ Cost story (~$1/1M requests)

Action Plan

Phase 1: Pre-1.0.0

• Apply to AWS Community Builders program
  • URL: https://aws.amazon.com/developer/community/community-builders/
  • Mention zae-limiter as open source contribution
  • Highlight DynamoDB expertise

Phase 2: At 1.0.0 Release

• Write technical blog post (see topic options below)

• Cross-post to multiple platforms:

  • Personal blog / zeroae.com
  • Dev.to (tag: #aws #dynamodb #python #serverless)
  • Medium
  • LinkedIn article
  • Hashnode
  • Reddit: r/aws, r/python, r/serverless
  • Hacker News (Show HN)
  • Twitter/X thread

• Share with SA contact

  • Ask for architecture feedback
  • Inquire about AWS samples or blog fit
  • Request internal visibility if appropriate

Phase 3: Post-Launch (If Traction)

• AWS Blog guest post (via SA introduction)
• aws-samples contribution
• AWS Community Day talk proposal

Blog Post Topic Options

Option A: DynamoDB Architecture Focus

"Building a Distributed Rate Limiter with DynamoDB Single-Table Design"

Outline:

1. The problem: distributed rate limiting without Redis
2. Why DynamoDB (cost, serverless, managed)
3. Single-table design for entities + buckets + limits
4. TransactWriteItems for atomic updates
5. Token bucket math with integer arithmetic
6. Results: ~$1/1M requests, 36-51ms p50

AWS appeal: DynamoDB best practices, single-table design advocacy

Option B: Variable-Cost Pattern Focus

"Rate Limiting for Variable-Cost Operations: The Estimate-Execute-Reconcile Pattern"

Outline:

1. The problem: traditional rate limiters need cost upfront
2. Use cases: LLM tokens, video processing, metered APIs
3. The pattern: estimate → execute → adjust()
4. Implementation with DynamoDB
5. Hierarchical limits for multi-tenant SaaS

AWS appeal: serverless patterns, multi-tenant architecture

Option C: Cost Optimization Focus

"Cost-Effective Distributed Rate Limiting: $1 per Million Requests with DynamoDB"

Outline:

1. Rate limiting options and their costs
2. Why we chose DynamoDB over Redis/ElastiCache
3. Pay-per-request vs provisioned capacity
4. Optimizing RCU/WCU consumption
5. When this approach makes sense (and when it doesn't)

AWS appeal: cost optimization, FinOps angle

Option D: Serverless Architecture Focus

"Serverless Rate Limiting: DynamoDB + Lambda for Multi-Tenant APIs"

Outline:

1. Multi-tenant SaaS rate limiting requirements
2. Serverless architecture (no Redis to manage)
3. DynamoDB for state, Lambda for aggregation
4. Hierarchical limits (user → org → global)
5. CloudFormation deployment

AWS appeal: serverless advocacy, Lambda + DynamoDB combo

Cross-Post Strategy

Platform	Audience	Tags/Targeting
Dev.to	Developers	#aws #dynamodb #python #serverless #opensource
Medium	Tech generalists	AWS, DynamoDB, Python publications
LinkedIn	Professional network	AWS connections, Python groups
Hashnode	Developer bloggers	AWS, Backend tags
Reddit r/aws	AWS practitioners	Flair appropriately
Reddit r/python	Python developers	Show project
Hacker News	Tech early adopters	"Show HN: ..."
Twitter/X	Quick reach	@awscloud @dynamodb mentions, thread format

Content Calendar Suggestion

Timing	Action
Now	Apply to Community Builders
1.0.0 release	Publish blog post
Release +1 day	Cross-post Dev.to, Medium
Release +2 days	LinkedIn, Twitter thread
Release +3 days	Reddit, HN
Release +1 week	Share with SA, ask for feedback
Release +2 weeks	Follow up on any traction

Metrics to Track

• GitHub stars before/after
• PyPI downloads
• Blog post views/engagement
• Community Builders acceptance
• SA feedback/introductions

Related

• #165 - Positioning strategy (messaging for content)
• #147, #148 - Docs that support the narrative
• Blog post item (separate ticket if needed)

Start with the phased action plan, topic options, cross-post strategy, and content calendar in this issue; review related issues #165, #147, and #148 for positioning and supporting documentation. Decide which outreach actions and blog topic are in scope, then track completion against the listed platforms, timing, and metrics.