What caching strategy is used for campaign analytics?

It utilizes an LRU (Least Recently Used) cache with a configurable TTL (default 5 minutes) to serve analytics quickly while minimizing API overhead.

How does this skill handle Instantly's rate limits?

The skill implements a mandatory 200ms delay between batch requests and includes logic to handle 429 errors, ensuring you stay within the 10 requests per second limit.

Does this skill help with webhook processing?

Yes, it includes a webhook processing queue that handles incoming events like replies or bounces asynchronously to prevent server blocking.

Can I use this for high-volume lead uploads?

Yes, it provides a specialized batching function that splits large lead lists into manageable chunks of 100 to prevent upload timeouts and API rejection.

Instantly API Performance Tuning

Name: Instantly API Performance Tuning
Author: micsapp

bymicsapp

0•

Marketing Automation

Optimizes Instantly API integrations with advanced caching, batching, and rate-limiting strategies to maximize outreach efficiency.

This skill provides production-grade implementation patterns for the Instantly cold outreach API, focusing on high-throughput lead management and real-time analytics monitoring. It automates the setup of rate-limited batch uploads, LRU-based analytics caching, and efficient webhook processing queues to prevent API throttling and ensure data consistency. It is ideal for developers building custom sales automation tools or CRM integrations that require reliable, performant communication with the Instantly platform while maintaining high deliverability standards.

Key Features

01Rate-limited batch lead uploading to ensure API compliance

02Memory-efficient lead status polling via paginated generators

03Standardized error handling for 429 rate limits and timeouts

04Asynchronous webhook processing for real-time reply tracking

050 GitHub stars

06LRU caching for campaign analytics to reduce redundant API calls

Use Cases

01Syncing Instantly lead status changes and replies to external CRMs via high-performance webhooks

02Scaling lead uploads for massive cold outreach campaigns without hitting API limits

03Building real-time performance dashboards for monitoring open and reply rates

Key Features

01Rate-limited batch lead uploading to ensure API compliance

02Memory-efficient lead status polling via paginated generators

03Standardized error handling for 429 rate limits and timeouts

04Asynchronous webhook processing for real-time reply tracking

050 GitHub stars

06LRU caching for campaign analytics to reduce redundant API calls

Use Cases

01Syncing Instantly lead status changes and replies to external CRMs via high-performance webhooks

02Scaling lead uploads for massive cold outreach campaigns without hitting API limits

03Building real-time performance dashboards for monitoring open and reply rates