Quick-Commerce Stock & ETA Index
Half-hourly stock, delivery-time and price snapshots from 900 dark stores in 14 cities.
- Records
- 58M store × SKU snapshots
- Refresh
- Every 30 minutes · monthl…
740K job postings that mention AI tooling, normalised by stack, seniority and salary in USD.
Which companies are hiring for vector databases, which have moved from notebooks to MLOps platforms, and what a senior LLM engineer costs in Berlin versus Bengaluru. We filter job postings down to those that mention AI and data tooling, then normalise titles, seniority, work mode and salary — converting every salary band into USD at the posting date.
Three years of history make it a leading indicator: teams post for a tool months before they announce they are using it.
| Field | Type | Description |
|---|---|---|
posting_id / posted_date |
string / date | Identifier and first seen date |
company / company_domain |
string | Hiring company, matched to a domain |
country / city / work_mode |
string | Location and onsite, hybrid or remote |
normalized_title / seniority |
string | Standardised role and level |
ai_stack |
array | Detected tools, e.g. vector_db, llm_api, mlops_platform |
frameworks |
array | Named libraries and frameworks |
cloud |
string | Cloud provider mentioned |
salary_min_usd / salary_max_usd |
integer | Annual band converted to USD |
salary_currency_local |
string | Currency as advertised |
source_type |
string | company_site or job_board |
posting_id,posted_date,company_domain,country,city,work_mode,normalized_title,seniority,ai_stack,salary_min_usd,salary_max_usd,salary_currency_local JP-4410231,2026-08-19,finlytics.example,DE,Berlin,hybrid,Machine Learning Engineer,senior,"llm_api|vector_db|mlops_platform",101000,127000,EUR JP-4410232,2026-08-19,nimbusretail.example,GB,London,remote,Data Engineer,mid,"streaming|warehouse|dbt",78000,95000,GBP JP-4410233,2026-08-20,aarogyadx.example,IN,Bengaluru,onsite,Applied Scientist,senior,"llm_api|rag|fine_tuning",46000,61000,INR
Illustrative sample showing the structure of the data. The full dataset is delivered after purchase.
Half-hourly stock, delivery-time and price snapshots from 900 dark stores in 14 cities.
24 months of matched prices, sales rank and review velocity for 120K SKUs across six marketplaces.
Daily snapshots of 180+ hosted and open models: prices, context windows, limits and benchmark scores.
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