Tool · October 2026
How often do AI models pick Inngest?
In October 2026, Inngest was named in 12 of 900 picks, by 6 models, in 2 categories. Most of them were in Background jobs: 11 of 63 picks (17%). That is 1.3% of all 900 picks; GPT-5.6 named it most often (3 times).
n = 12 picksMeasured 2026-10-19Method
Model pick, not a product recommendation. The models answered without a repository, existing code or tools, so the index shows what a model names when nothing in the project constrains it. It says nothing about quality, security, price or market share.
By category
| Category | Picks | of | Share | Bar | Most named in category |
|---|---|---|---|---|---|
| Background jobs | 11 | 63 | 17% | BullMQ | |
| Scheduled jobs | 1 | 24 | 4% | Vercel Cron Jobs |
By context
| Context | Picks |
|---|---|
| Next.js (TypeScript) | 6 |
| Python FastAPI | 0 |
| Vibe coder (non-technical) | 6 |
| EU users (GDPR) | 0 |
By model
| Model | Picks |
|---|---|
| GPT-5.6 | 3 |
| Claude Opus 5.5 | 2 |
| Claude Sonnet 5.5 | 2 |
| Gemini 3.6 Flash | 2 |
| Kimi K3 | 2 |
| Gemini 3.1 Pro | 1 |
Alternatives named in the same runs
When a model picked Inngest, these are the other tools it listed, by number of runs.
- Trigger.dev: 12 runs
- Upstash QStash: 9 runs
- BullMQ: 8 runs
- Supabase Queues: 1 runs
- Quirrel: 1 runs
- Make: 1 runs
- Vercel Cron Jobs: 1 runs
- GitHub Actions: 1 runs
Vendor facts
We have not verified facts about Inngest yet. Use the vendor's own documentation.