---
title: "Dream Embeds Salesforce + HubSpot in Just 8 Days with Knit’s Unified CRM API"
description: "AI sales platform Dream integrated Salesforce + HubSpot in just eight days with Knit’s throttled Unified CRM API, scaling customer outreach 5× without stressing its infra."
source_url: "https://www.getknit.dev/case-studies/dream-embeds-salesforce-hubspot-in-just-8-days-with-knits-unified-crm-api"
page_type: "case-study"
---

_This is a customer case study: “Dream Embeds Salesforce + HubSpot in Just 8 Days with Knit’s Unified CRM API”._

# Dream Embeds Salesforce + HubSpot in Just 8 Days with Knit’s Unified CRM API

CRM

Factsheet

*   **Customer**: Dream
*   **Segment**: Startup
*   **Product:** AI SDR
*   **Integrations Used:** CRM
*   **End Customers**: Large Enterprises
*   **End Customers Region**: US, EU

## **The Integration Hurdle**

To keep its AI agents truly “hands-off,” Dream needed bi-directional, real-time data from **[Salesforce](https://md.getknit.dev/mcp-servers/salesforce-mcp-server)** and **[HubSpot](https://md.getknit.dev/mcp-servers/hubspot-mcp-server)**. But CRM integrations come with two big headaches:

1.  **Webhook storms & rate limits** – Rapid prospect creation in outbound campaigns triggers thousands of CRM events per minute. Dream’s micro-services could be overwhelmed by bursty webhooks, leading to dropped leads and stale data.
2.  **High-volume, custom objects** – Complex field mappings (custom lead scores, multichannel attribution, localisation tags) differ across [Salesforce](https://md.getknit.dev/mcp-servers/salesforce-mcp-server) orgs and [HubSpot](https://md.getknit.dev/mcp-servers/hubspot-mcp-server) portals, making one-off connectors brittle.

Building and maintaining two separate, enterprise-grade connectors would have taken Dream’s three-person engineering team an estimated **3+ person-months** and continuous upkeep.

## **Knit’s Unified API Solution**

*   **Single CRM endpoint** – Knit abstracts Salesforce & HubSpot behind one normalised “/crm” model, auto-mapping custom objects so Dream engineers wrote **~80 % less code**.
*   **Smart webhook throttling** – Our team added configurable burst & sustained rate-limit guards _inside Knit_, queueing and replaying events so Dream receives a smooth stream of updates (peaking at 1000 req/s) without stressing their infra.
*   **Real-time sync at scale** – Delta-sync + native webhooks keeps lead data < 90 seconds fresh, even as Dream’s outreach volume grew **5× in six months**. 

| Metric | Before Knit | After Knit |
| --- | --- | --- |
| Engineering time to first live sync | ~6 weeks/connector | **8 days total** |
| Leads processed/day | 25 k (manual CSV import) | **500k+ via APIs** |
| API errors during peak campaigns | Frequent time-outs | **< 0.05 % error rate** |
| Developer hours saved / quarter | —   | **≈160 hrs** |

**“Knit’s built-in webhook rate-limits were a life-saver. We scaled our AI outreach fivefold without touching infra.”  
**— _Evan_, Co-Founder & CTO, Dream

## **Why Dream Chose Knit**

1.  **Unified CRM API** eliminated duplicate integration work.
2.  **White-glove onboarding** – Knit shipped a bespoke webhook throttle in < 72 hours.
3.  **Scales with AI workloads** – Designed for bursty, high-volume data typical of AI-driven outbound tools.

## **What’s Next**

Dream plans to plug Knit’s **Email & Calendar** unified APIs next, enabling their AI agents to schedule meetings instantly after a prospect replies.

_Want outcomes like these?_ [Schedule a demo](https://getknit.dev/book-demo)


## Related pages

- [Solutions hub](https://md.getknit.dev/solutions)
- [Pricing](https://md.getknit.dev/pricing)