Compose Hybrid Spec
Pick features from multiple specs and mix them into a single build. Notifications from Slack + payments from e-commerce? Go.
Source specs
Tracking Scope*
Analytics Provider*
Tradeoffs
User data is shared with vendor; may require GDPR consent flow
Significant storage cost; must redact sensitive fields (passwords, PII)
Full data ownership and unlimited retention, but requires infrastructure expertise
Queue Backend*
Required Capabilities*
Failure & Durability*
Tradeoffs
Primary DB absorbs queue write load; row-level locks contend with application queries
Enqueue happens outside DB transaction — jobs can run for state that was rolled back
Additional table, polling worker, and idempotency discipline — the payoff is no duplicated side effects
Threading Model*
Content Features
Moderation Controls
Tradeoffs
Mobile UX suffers past 3 levels; pagination and collapse behavior need design attention
Expand notification infrastructure — mention notifications are high-priority and user-visible
Third-party ML dependency and ongoing tuning of thresholds to balance false positive rate
Storage Backend*
File Processing
Tradeoffs
Not horizontally scalable; lost on server replacement without backup
Higher monthly cost; requires cache invalidation strategy
Upload latency increases; requires AV service integration
Conversation Types*
Message History*
Rich Content
Tradeoffs
Message routing logic grows significantly; fan-out to members must be handled carefully
Storage costs grow unbounded; requires indexing strategy for search
Requires object storage (S3/R2) and content moderation policy
Server must fetch external URLs on behalf of users; adds latency and SSRF risk
Delivery Method*
User Control
Tradeoffs
Requires persistent connection infrastructure (e.g. Redis pub/sub, WebSocket server)
Higher server request volume; notifications may lag by poll interval
Requires APNs/FCM credentials and certificate management
Significantly more complex preference storage and UI
Onboarding Format*
Personalization Signals
Activation Support
Tradeoffs
Controls first-experience but introduces sign-up drop-off proportional to wizard length
Requires event tracking + scheduled jobs + segmentation infrastructure
Staffing cost scales with signup volume — not viable for self-serve products below a certain ACV
Billing Model*
Payment Processor*
Tradeoffs
Requires handling trial periods, dunning, proration, and cancellation flows
Must instrument every billable action and send metered events to billing provider
Less customizable checkout; Paddle acts as legal seller so you avoid VAT registration
Rate Limit Algorithm*
What to Limit By*
Abuse Prevention Layer
Response Behavior*
Tradeoffs
False positives behind corporate NATs; attackers bypass with rotating proxies
Noisy-neighbor protection — one tenant cannot starve others
Allows bursts but requires a per-identity bucket state in Redis — higher memory footprint
Meaningful latency cost at the edge if the WAF is geographically distant from users
Search Approach*
Search Scope*
Tradeoffs
Requires FTS index maintenance; adds write-time overhead
Embedding generation adds latency and API cost per indexed document
Results must be unified and ranked across disparate data models
Delivery Provider*
Deliverability Setup*
Templating Approach*
Tradeoffs
Vendor cost scales with volume; deliverability expertise comes included
Low per-email cost but you own deliverability operations (reputation, bounces, suppression)
Two sending configurations and domains to maintain — worth it for deliverability isolation
Authentication Methods*
Access Control*
Multi-factor Authentication
Tradeoffs
Each provider requires an OAuth app registration and key rotation policy
Requires IdP partnership and XML-based protocol handling; significant integration work
Permission checks must be applied consistently across every data access path
Summary
12 of 12 composed features enabled
Pulled from 1 source spec
Effort Estimate
10+ weeks