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Real-time PLG signals at production scale
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Product-led growth pipelines
from signup to sales

Stream product usage events from Postgres into HubSpot the instant they fire, route Slack alerts to the right AE, and write activity back two-way so sales never works a cold lead.

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from Mulesoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Where PLG handoffs break in production

Three reasons usage signals never reach sales.

PLG only works if product data lands in the CRM while the user is still hot. The handoff from app to revenue stack is where it stalls.

01 - Stale syncs

The trial converts, the AE finds out tomorrow

Most reverse-ETL flushes Postgres to HubSpot on an hourly or nightly job. The buyer hits the 'aha' moment and the AE sees it a day late, after the intent has cooled.

LATENCY
02 - One-way push

Sales notes never make it back to product

Reverse-ETL pushes usage into HubSpot but the AE's call notes and deal stage never flow back to your data model. Product scoring and sales context drift apart by the week.

CONFLICT POLICY
03 - Noisy alerts

Slack drowns in low-signal pings

Naive triggers fire a Slack alert on every event, so AEs mute the channel. Without thresholds and dedup on the Postgres stream, the signal that matters gets buried.

DATA QUALITY
PLATFORM

Six products. One Platform.
Replace many legacy vendors.

Every tool Stacksync replaces is one fewer vendor, one fewer bill, one fewer integration to maintain.

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Connectors

Every system a PLG signal touches, on one sync.

Stacksync ships pre-built two-way connectors for the databases, CRMs, product analytics, and alerting tools PLG runs through, with field-level conflict policies and replay.

Product databases
05
  • Postgres
  • MySQL
  • MongoDB
  • Supabase
  • Firebase
CRM & marketing
05
  • HubSpot
  • Salesforce
  • Intercom
  • Klaviyo
  • Mailchimp
Analytics & warehouse
05
  • Segment
  • Snowflake
  • BigQuery
  • Databricks
  • Datadog
Alerting & comms
05
  • Slack
  • Twilio
  • SendGrid
  • PagerDuty
  • Microsoft 365
Custom event schemas, HubSpot custom properties, and your own scoring fields are first-class, no scripting required.
Browse all 1,000+ connectors
SECURITY

Security teams love Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

How fast does a usage event reach HubSpot?

Sub-second when Postgres logical replication or CDC is enabled, otherwise 1–60s on a configurable poll. The AE gets the Slack alert while the user is still in the product.

Can sales activity flow back into our database?

Yes. Sync is two-way, so HubSpot deal stage, owner, and call notes write back to Postgres with field-level conflict policies, keeping product scoring and CRM in step.

How do we avoid alert fatigue in Slack?

Set thresholds, dedup keys, and conditions on the event stream so only qualifying signals fire. A single user's repeated events collapse into one alert, not fifty.

Can we map our own event and scoring fields?

Yes. Custom Postgres columns, JSON event payloads, and HubSpot custom properties map in the visual mapper alongside standard fields and sync the same way.

Coworkers laughing in front of a laptop in a casual office setting

Stop letting hot trials go cold.
Route usage signals in real time.