Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Overview
Inngest gives developers durable execution for background jobs, workflows and AI pipelines without running queue infrastructure. Functions are written in normal application code and the platform handles retries, concurrency limits and step state. It is used heavily by teams building long-running agent workflows.
News
Online vs Offline AI Evals: When to Use Each - Inngest Blog
How offline and online evals work, what they cost to run, and when to use each for AI agents in production.
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Adding a second middleware broke our typescript types - Inngest Blog
How stacking middleware quietly collapsed our TypeScript inference-and what it took to fix it.
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Report
OpenAI AgentKit vs Google ADK vs Inngest: Which Agent Platform Should You Choose? (Updated June 2026)
Updated June 2026: OpenAI is retiring AgentKit's visual builder, Google reframed ADK as an OTel-native execution framework, and Inngest ships durable agent workflows. Architecture, memory, pricing, and fit compared.
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Node.js worker threads in production - Inngest Blog
Spawning a worker is easy. Making it reliable means designing a protocol, packaging the worker file, proxying callbacks, handling crashes, and shutting down cleanly.
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There are too many JavaScript schema libraries, so support only one - Inngest Blog
What Standard Schema is, and what we learned adopting it in our TypeScript SDK.
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Report
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Technologies
Tech DNA
Go
ClickHouse
Kafka
PostgreSQL
AWS
GCP
Backend
Go
Apache Kafka
gRPC
Rest API
GraphQL
AI/ML
ClickHouse
Kafka
PostgreSQL
Redis
AWS
GCP
GitHub
Kubernetes
Other
Figma
HIPAA
ISO 27001
SOC 2
Discord
Linear
Notion
Slack
Stack modernity
71/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Go
1 job
Required
PostgreSQL
1 job
Optional
Redis
1 job
Optional
Rest API
1 job
Optional
gRPC
1 job
Optional
GCP
1 job
Optional
GraphQL
1 job
Optional
Linear
1 job
Optional
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
AWS
21%
PostgreSQL
20%
Kubernetes
20%
GCP
15%
GitHub
15%
Rest API
14%
Share of companies in the same industry that use each technology.
Stack changes
SOC 2
Sep 2026
Slack
Sep 2026
Rest API
Sep 2026
Redis
Sep 2026
PostgreSQL
Sep 2026
Notion
Sep 2026
Linear
Sep 2026
Kubernetes
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Growth
Hiring Momentum
38/100
Slowing
Open positions
1
0 opened / 0 closed in 30 days
ATS activity
Every ~1 hours
09/06/2026
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
100% ▼
Activity Timeline
Added SOC 2 to stack
Sep 2026
Added Slack to stack
Sep 2026
Added Rest API to stack
Sep 2026
Added Redis to stack
Sep 2026
Added PostgreSQL to stack
Sep 2026
Added Notion to stack
Sep 2026
Added Linear to stack
Sep 2026
Added Kubernetes to stack
Sep 2026
Added Kafka to stack
Sep 2026
Added ISO 27001 to stack
Sep 2026
Added HIPAA to stack
Sep 2026
Added gRPC to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco
United States
HQ
1 open roles 100% engineering
hires for Backend
Jobs
≈ $154k – $315k per year (Estimated) • In office • Full-Time • San Francisco
Go
Apache Kafka
ClickHouse
Kafka
PostgreSQL
Redis
Frontend
GraphQL
DevOps
AWS
GCP
GitHub
gRPC
Kubernetes
Rest API
Cybersecurity
HIPAA
ISO 27001
SOC 2
Design
Figma
Management
Discord
Linear
Notion
Slack
Apply

Jobgether
OpenAI
Clera
Salesforce
Weekday
Workato