Two-way sync
Changes in Slack instantly reflect in Supabase, and back. No stale data, no manual imports.
Map the fields once, and every write moves both ways in milliseconds. Supabase row inserts land in Slack, Slack updates land back in Supabase.
Trusted by fast-scaling teams, from YC startups to enterprise platform teams

Connects over Web API (HTTP RPC-style methods) plus the Events API, mapped field-by-field into Supabase, with row-level audit and no backend of your own to run.
Every table maps to a Slack object both ways. Insert a row in Supabase and it lands in Slack; update a record there and Supabase reflects it back.
Events API webhooks, delivered over HTTP callbacks or Socket Mode. Stacksync polls efficiently so updates still land in Supabase within moments.
Any object the API exposes can be mapped into Supabase, with schema discovery doing the field-matching for you.
Patterns a two-person team can ship in a week. Any table in Supabase maps to any object in Slack.
Changes in Slack instantly reflect in Supabase, and back. No stale data, no manual imports.
Post record changes from Supabase into deal or account Slack channels, so the team sees updates without opening the CRM.
Archive Slack channel messages into Supabase for compliance and analytics.
Create or update rows in Supabase when specific Slack messages or reactions occur in a channel.
Alert an operations Slack channel the moment a Supabase sync detects a conflict or validation failure.
No custom ETL jobs, webhooks, or sync scripts to write and maintain. Map Supabase tables to Slack objects like Channels and Messages once, and every write stays in sync from there on.
Changes in Supabase reach Slack in real time, and back. channels, messages and threads stay consistent everywhere they live.
Your Supabase write-ahead log is read directly, and Slack changes are picked up the moment they happen, so sync keeps pace with live traffic. No polling delays, rate limits, or extra load on your database.
OAuth your project and the system. Schemas read automatically.
Tables to objects, fields to fields. Transforms run inline.
Historical backfill, then continuous CDC both ways.
Row-level logs, latency and one-click replay.
One client, the same auth as your Supabase project. If you know the Supabase client, you already know this one.
Read the docsimport { createClient } from '@stacksync/client'const stacksync = createClient( process.env.SUPABASE_URL, process.env.STACKSYNC_API_KEY)export default function Deals() { const [deals, setDeals] = useState([]) useEffect(() => { stacksync.from('deals').select('*') .then(({ data }) => setDeals(data)) }, []) return <DealList items={deals} />}
import { createClient } from '@stacksync/client'export async function POST(request) { const stacksync = createClient( process.env.SUPABASE_URL, process.env.STACKSYNC_API_KEY ) const { id, stage } = await request.json() // writes Supabase, propagates to Slack const { data } = await stacksync .from('deals') .update({ stage }) .eq('id', id) return Response.json(data)}
from stacksync import create_clientstacksync = create_client( os.environ['SUPABASE_URL'], os.environ['STACKSYNC_API_KEY'])# one write, both systemsstacksync.table('deals').update( {'stage': 'won', 'amount': 48000}).eq('id', 'd_10427').execute()for row in stacksync.logs('deals').recent(): print(row['system'], row['latency_ms'])
import { createClient } from '@stacksync/client'Deno.serve(async (req) => { const stacksync = createClient( Deno.env.get('SUPABASE_URL'), Deno.env.get('STACKSYNC_API_KEY') ) const { record } = await req.json() await stacksync.from('accounts').upsert({ id: record.id, owner: record.owner_email }) return new Response('ok')})
// claude_desktop_config.json{ "mcpServers": { "stacksync": { "command": "npx", "args": ["-y", "@stacksync/mcp"], "env": { "STACKSYNC_API_KEY": "sk_live_...", "SUPABASE_URL": "https://xyz.supabase.co" } } }}// your agent now reads and writes// every connected system of record
-- Supabase stays the source of truthupdate deals set stage = 'won', amount = 48000 where id = 'd_10427';-- Stacksync picks up the change via CDC-- and writes it to every mapped systemselect system, object_id, latency_ms, status from stacksync.write_log where table_name = 'deals' order by created_at desc limit 10;
Normally $1,000/mo. Yours at $0 during launch week.
Plus $100 in sync credits on the house. No card, no sales call, the same self-serve start you got with Supabase.
Takes about 2 minutes · cancel in one click · export every mapping you build
“We went from treating data integration as a necessary evil that consumed our best engineers to having it just work, reliably, at scale, in real-time.”
Alex Marinov · VP of Technology, ACERTUS
Trusted by 1,000+ teams · SOC 2 Type II · ISO 27001
The integration layer is where compliance reviews stall. Row-level audit, residency and DPF certification for US, EU, UK and CH transfers, so procurement is a form, not a quarter.
Learn more about security
Okta, Azure and Google SSO, with SCIM provisioning.
Sync issues to email, Slack, PagerDuty or WhatsApp, with retry and revert.
Connects to your systems your way.
Stacksync watches your Supabase tables via CDC and Slack's API in real time. A write on either side maps to fields on the other and propagates in milliseconds, with row-level logs for every change.
Yes. Changes made in Supabase propagate to Slack and vice versa. One-way flows are also supported when a direction should stay read-only.
No. Authenticate both systems, pick objects and fields to map, and enable the sync. Most integrations go live in minutes with no infrastructure to manage.
Stacksync is SOC 2 Type II, ISO 27001, HIPAA, GDPR, CCPA and CSA STAR certified, and holds the EU-US, UK and Swiss Data Privacy Framework (DPF) certification. Data is encrypted in transit, with a zero-persistent-storage architecture: records aren't retained after a sync operation.