Mindtickle tech stack
Mindtickle builds mostly with Python, SQL, JavaScript, Node JS. Its stack also includes AWS, GCP, BigQuery, Google BigQuery. AWS is named in 7 of the 15 job postings Mindtickle published in the last 12 months (47%). Counted by Alion from the job postings of Mindtickle, updated Sep 29, 2026.
What programming languages does Mindtickle use?
Python is named in 40% of job postings at Mindtickle, followed by SQL (33%), JavaScript (27%), Node JS (13%).
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What frameworks and libraries does Mindtickle use?
React.js is named in 13% of job postings at Mindtickle, followed by Django (7%), FastAPI (7%), PoC Library (7%).
What databases does Mindtickle use?
BigQuery is named in 13% of job postings at Mindtickle, followed by Google BigQuery (13%), MySQL (13%), PostgreSQL (13%).
What cloud and platforms does Mindtickle use?
AWS is named in 47% of job postings at Mindtickle, followed by GCP (33%), Azure (20%), Metabase (13%).
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What developer tools does Mindtickle use?
Claude Code is named in 27% of job postings at Mindtickle, followed by Rest API (20%), Cursor (13%), GraphQL (13%).
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What AI and ML technologies does Mindtickle use?
LLM is named in 13% of job postings at Mindtickle.
Which engineering practices does Mindtickle ask for?
AI Agents is named in 27% of job postings at Mindtickle, followed by CI/CD (20%), IAM (13%), SLI/SLO/SLA (13%).
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What does each Mindtickle team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Product
3 postingsHow does your stack fit Mindtickle?
How is the Mindtickle stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Mindtickle stack?
Mindtickle scores 77 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 Mindtickle stack in its industry?
Share of the 269 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Mindtickle
Questions about the Mindtickle tech stack
What programming languages does Mindtickle use?
The languages named in Mindtickle job postings are Python (40%), SQL (33%), JavaScript (27%), Node JS (13%), Go (7%), as a share of the 15 postings of the last 12 months.
Does Mindtickle use React.js?
Yes. React.js is named in 2 of 15 job postings (13%) and required in 2 of them.
What cloud and platforms does Mindtickle use?
The cloud and platforms named in Mindtickle job postings are AWS (7), GCP (5), Azure (3) (postings in brackets).
What skills do you need for a Product job at Mindtickle?
Product postings at Mindtickle most often require LLM (2), SQL (2), out of 3 postings in the last 12 months.
Is the Mindtickle tech stack changing?
Yes. BigQuery, Google BigQuery, Agentic Workflows, Git first appeared in Mindtickle job postings in the last six months.
How modern is the Mindtickle tech stack?
Mindtickle scores 77 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 Mindtickle tech stack?
Alion reads every job posting Mindtickle publishes and tags the technologies each one names. The figures on this page count the 15 postings of the last 12 months and were updated on Sep 29, 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, "Mindtickle tech stack: 68 technologies from 15 job postings", as of Sep 29, 2026. https://alion.io/company/mindtickle/technologies
