For developers who outgrow Zapier — but don’t want to manage queues, workers, and cron jobs.

Run backend workflows — without building backend infrastructure

Connect APIs, run real code, and handle production behavior — all in one place.

Build your first workflow View templates

Built for production: retries, alerts, and full execution visibility

Webhook

Trigger

Incoming events kick off a run

Code

Transform

Retries on failure

Slack

Notify

Full execution logs

Done

Ship it

Step-by-step debug

Webhook → Code → Slack → Done. Same engine runs schedules, retries, and production paths.

Backend automation is harder than it should be

You need execution that survives flaky APIs and slow vendors — not another brittle chain of triggers.

You end up juggling:

—queues
—retry logic
—cron jobs
—API failures
—debugging across services

This platform handles all of that — so you focus on your logic.

Production behavior

What happens when things fail

Most tools stop. This system recovers. Retries with backoff, recorded attempts, and the run keeps moving when upstream services come back — without you wiring custom queues.

run · productionRetries on

Executing…

Webhook

POST /hooks/crm

HTTP

CRM API

Code

Map + validate

Slack

#ops-alerts

Done

Run complete

Production runs don’t stop at the first timeout — the platform retries, records every attempt, and keeps the graph moving when dependencies recover.

Visibility

See exactly what happened in every step

No more guessing if your workflow ran.

Every step captures structured input and output. When something breaks, you read the real error, fix credentials or code, and retry from the failure point — not from scratch.

→Input/output logs preserved per step
→Error details (timeouts, 4xx/5xx, validation)
→Retry controls tied to the failing step

Stepfetch_crm_dealFailed

Input (JSON)

{
  "deal_id": "dl_8f2a",
  "tenant": "acme"
}

Output

— empty (step did not complete)

Error

upstream timeout after 30s — GET https://api.crm.example/v1/deals/dl_8f2a

Attempt 2 of 3·Next backoff: 4s

AlertsLive

3 workflows failing

Repeated errors in the last window

7 alerts this week

Patterns across schedules & runs

Run skipped due to limits

Concurrency / plan capacity signal

Delivery log

email · sent · Invoice sync
slack · sent · #ops-workflows
webhook · enterprise · HTTPS POST

Alerting

You’ll know when something breaks

Route failures to the channels your team already uses. Inspect delivery, not just “something failed.”

→Email alerts
→Slack alerts
→Webhook alerts (enterprise)
→Alert history
→Delivery logs

Execution

Run workflows like a backend, not a script

Same scheduler and worker model you’d build yourself — minus the ops tax.

Parallel workflows

Concurrency you can reason about — not one-at-a-time glue scripts.

Code execution limits

Bounded runtime and resources so runs stay predictable at scale.

Retries & backoff

Transient failures don’t kill the graph; attempts are visible per step.

Controlled execution

Triggers, schedules, and guardrails behave like production infra.

Integrations

Plays nicely with your stack

Use integrations as steps — powered by the same execution engine.

Browse catalog

Slack
Gmail
OpenAI
Stripe
Webhook
HTTP

Built for developers

Code where it matters, APIs everywhere else — without giving up observability or failure handling.

Code node

Ship real logic next to HTTP and integrations — same run, same logs, same retries.

SDK

Programmatic control when you outgrow clicking — fits CI and internal tooling.

API-first

Everything the UI does maps to APIs — automate imports, runs, and ops workflows.

Flexibility

Branching, secrets, and custom payloads — not a locked template language.

What you can build

Examples

flow

Webhook → Validate → Transform → Send Slack → Retry on failure

flow

Stripe event → Code step → Update DB → Send email

flow

Cron job → Fetch metrics → Process data → Notify team

flow

API pipeline → Call multiple services → Merge results → Return response

flow

AI workflow → Call model → Post-process → Store → Trigger next step

Most tools automate. Few handle failure.

Zapier

Simple automations, limited control

Great for light triggers — thin on execution depth and recovery.

n8n

Flexible, harder to maintain at scale

Self-hosting and graph sprawl become the job.

Custom backend

Powerful, expensive to build

Queues, workers, and on-call glue — before your product ships.

This platform

Control + reliability + simplicity

Start free. Scale with reliability.

Concurrency, alerts, and execution power grow with your plan — not as surprise bolt-ons.

→Concurrency
→Alerts
→Execution power

View pricing

Start from real templates

Examples

Browse templates

Send Slack alerts with retries
Twilio SMS workflows
Webhook processing pipelines
API → Code → API chains
Scheduled jobs with failure recovery

Stop guessing if your workflows ran

Retries, logs, and alerts — infrastructure-grade defaults.

Start building for free