HashQ AI tech stack
HashQ AI builds mostly with Python, JavaScript, Node JS, TypeScript. Its stack also includes LangChain, LangGraph, GCP. Python is named in 3 of the 4 job postings HashQ AI published in the last 12 months (75%). Counted by Alion from the job postings of HashQ AI, updated Oct 21, 2026.
What programming languages does HashQ AI use?
Python is named in 75% of job postings at HashQ AI, followed by JavaScript (50%), Node JS (50%), TypeScript (50%).
What frameworks and libraries does HashQ AI use?
LangChain is named in 50% of job postings at HashQ AI, followed by LangGraph (50%), Next.js (50%), React.js (50%).
What cloud and platforms does HashQ AI use?
GCP is named in 25% of job postings at HashQ AI.
GCP
1 25%
What AI and ML technologies does HashQ AI use?
LLM is named in 50% of job postings at HashQ AI.
LLM
2 50%
Which engineering practices does HashQ AI ask for?
RAG is named in 50% of job postings at HashQ AI, followed by AI Agents (25%), NLP (25%).
How does your stack fit HashQ AI?
How modern is the HashQ AI stack?
HashQ AI scores 87 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the HashQ AI stack in its industry?
Share of the 3,338 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like HashQ AI
Questions about the HashQ AI tech stack
What programming languages does HashQ AI use?
The languages named in HashQ AI job postings are Python (75%), JavaScript (50%), Node JS (50%), TypeScript (50%), Go (25%), as a share of the 4 postings of the last 12 months.
Does HashQ AI use LangChain?
Yes. LangChain is named in 2 of 4 job postings (50%) and required in 2 of them.
What cloud and platforms does HashQ AI use?
The cloud and platforms named in HashQ AI job postings are GCP (1) (postings in brackets).
Is the HashQ AI tech stack changing?
No new technology has appeared in HashQ AI job postings in the last six months.
How modern is the HashQ AI tech stack?
HashQ AI scores 87 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the HashQ AI tech stack?
Alion reads every job posting HashQ AI publishes and tags the technologies each one names. The figures on this page count the 4 postings of the last 12 months and were updated on Oct 21, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "HashQ AI tech stack: 16 technologies from 4 job postings", as of Oct 21, 2026. https://alion.io/company/hashq-ai/technologies