Tome tech stack

Tome builds mostly with Node JS, JavaScript, TypeScript. Its stack also includes PostgreSQL, Next.js, React.js, Apache Kafka. PostgreSQL is named in 7 of the 9 job postings Tome published in the last 12 months (78%). Counted by Alion from the job postings of Tome, updated Oct 16, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 16, 2026
Technologies in use
21
Postings analysed
9
Open now
7
Modernity
87 /100

What programming languages does Tome use?

Node JS is named in 67% of job postings at Tome, followed by JavaScript (67%), TypeScript (56%).

Node JS 6 67% required in 33% · 5 open now · since Jul 2026
JavaScript 6 67% optional · 5 open now · since Jul 2026
TypeScript 5 56% required in 20% · 4 open now · since Jul 2026

What frameworks and libraries does Tome use?

Next.js is named in 56% of job postings at Tome, followed by React.js (56%), Flink (11%), LangChain (11%).

Next.js 5 56% required in 20% · 4 open now · since Jul 2026
React.js 5 56% required in 20% · 4 open now · since Jul 2026
Flink 1 11% required in 100% · 1 open now · since Aug 2026
LangChain 1 11% required in 100% · since Jul 2026

What databases does Tome use?

PostgreSQL is named in 78% of job postings at Tome, followed by ClickHouse (11%), Pinecone (11%).

PostgreSQL 7 78% required in 43% · 6 open now · since Jul 2026
ClickHouse 1 11% required in 100% · 1 open now · since Aug 2026
Pinecone 1 11% required in 100% · since Jul 2026

What cloud and platforms does Tome use?

Apache Kafka is named in 11% of job postings at Tome.

Apache Kafka 1 11% required in 100% · 1 open now · since Aug 2026

What developer tools does Tome use?

GraphQL is named in 56% of job postings at Tome.

GraphQL 5 56% required in 20% · 4 open now · since Jul 2026

What AI and ML technologies does Tome use?

LLM is named in 22% of job postings at Tome, followed by Llama (11%).

LLM 2 22% required in 100% · 1 open now · since Jul 2026
Llama 1 11% required in 100% · since Jul 2026

Which engineering practices does Tome ask for?

Edge AI is named in 22% of job postings at Tome, followed by LLMOps (22%), AI Agents (11%), LLM Evaluation (11%).

Edge AI 2 22% required in 100% · 2 open now · since Jul 2026
LLMOps 2 22% required in 100% · 1 open now · since Jul 2026
AI Agents 1 11% required in 100% · 1 open now · since Aug 2026
LLM Evaluation 1 11% required in 100% · 1 open now · since Aug 2026
Machine Learning 1 11% required in 100% · since Jul 2026
NLP 1 11% required in 100% · since Jul 2026
RAG 1 11% required in 100% · 1 open now · since Aug 2026

What does each Tome team work with?

The technologies each team's postings require most often, with the number of postings that require them.

Backend

7 postings
PostgreSQL3
Node JS2

See the open roles

How does your stack fit Tome?

Sign in to compare your skills with this stack and see which open roles fit you.
Sign In

How modern is the Tome stack?

Cutting-edge AI adopter 87/100

Tome 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: 2; legacy ones: 0.

How common is the Tome stack in its industry?

Share of the 98 companies in the same industries, whose stack Alion knows, that use each technology.

PostgreSQL33%
JavaScript57%
Node JS34%
Next.js15%
React.js46%
TypeScript53%
LLM46%
Apache Kafka18%
ClickHouse8%
Flink10%

Questions about the Tome tech stack

What programming languages does Tome use?

The languages named in Tome job postings are Node JS (67%), JavaScript (67%), TypeScript (56%), as a share of the 9 postings of the last 12 months.

Does Tome use Next.js?

Yes. Next.js is named in 5 of 9 job postings (56%) and required in 1 of them.

What cloud and platforms does Tome use?

The cloud and platforms named in Tome job postings are Apache Kafka (1) (postings in brackets).

What skills do you need for a Backend job at Tome?

Backend postings at Tome most often require PostgreSQL (3), Node JS (2), out of 7 postings in the last 12 months.

Is the Tome tech stack changing?

No new technology has appeared in Tome job postings in the last six months.

How modern is the Tome tech stack?

Tome 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: 2; legacy ones: 0.

How does Alion know the Tome tech stack?

Alion reads every job posting Tome publishes and tags the technologies each one names. The figures on this page count the 9 postings of the last 12 months and were updated on Oct 16, 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, "Tome tech stack: 21 technologies from 9 job postings", as of Oct 16, 2026. https://alion.io/company/tome/technologies

Licence: CC BY-SA 4.0JSON