Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$3.2M
1 round on record
Latest round
$3.2M
Venture round · Oct 2024 · 2 yr ago
Team
51-200
employees, estimated range
Hiring now
9
open roles
Backers
2
Y Combinator, Initialized Capital
The money's age
Due for its next round
24 months since the last round · hiring slowed
Momentum
15/100
in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jul 6
On the Hacker News front page Pruning RAG context down to what the answer actually needs · 146 points
Jun 18, 2025
On the Hacker News front page Writing documentation for AI: best practices · 223 points
Dec 4, 2024
On the Hacker News front page AI hallucinations: Why LLMs make things up (and how to fix it) · 196 points
Oct 4, 2024
Raised a round Venture round $3.2M
Jun 2023
Went through Y Combinator
Feb 9, 2023
Launched on Hacker News Show HN: ChatGPT for the Langchain docs deployed as a Discord bot
2023
Founded
Tractionpublic signals, read monthly
Web presence
top 0.38%
of 133.2M domains by links, Common Crawl
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Oct 2024 | $3.2M | — | kapa.ai |
Backed byfrom the funds' portfolios and accelerator catalogs
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News
Report
Report
How we taught a small LLM to throw away 68% of our RAG context - kapa.ai - Instant AI answers to technical questions
Pruning agent context down to what the answer actually needs, while keeping 96% of recall
Read more
Report
How we index images for RAG - kapa.ai - Instant AI answers to technical questions
Reading the screenshots, diagrams and tables in technical documentation for LLMs
Read more
Report
Why your agent needs access to your documentation - kapa.ai - Instant AI answers to technical questions
What 1,192 agents conversations taught us about knowledge base search
Read more
Report
Remote MCP Servers: Hosting, Authentication & Best Practices - kapa.ai - Instant AI answers to technical questions
MCP makes AI more powerful by linking it to tools, resources, and workflows. Learn about local & remote servers and best practices.
Read more
Report
RAG Gone Wrong: The 7 Most Common Mistakes (and How to Avoid Them) - kapa.ai - Instant AI answers to technical questions
Why do RAG systems fail at scale? Learn the critical mistakes teams make with chunking, data quality, architecture, and evals - plus how to avoid them.
Read more
Report
Tutorial: Build an agentic AI system with knowledge of your product - kapa.ai - Instant AI answers to technical questions
Using Kapa + LangGraph to ground answers and trigger actions in tools like Zendesk, Salesforce and Pylon
Read more
Report
Show more news
Tech stack
Technologies named in job postings at kapa.ai over the last 12 months, by layer, with the share of postings for each.
Technologies in use
11
Postings analysed
9
Stack modernity
85/100
Languages
Python
JavaScript
Frameworks & libraries
React.js
Cloud & platforms
OpenAI
Grafana
Sign in to see how your skills match this stack
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Full kapa.ai tech stack
11 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$120k
Typical range
$100k – $300k
Open positions
9
9
Jobs
Junior
33.3%
Middle
44.4%
Senior
11.1%
Staff
11.1%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 3 | $110k | $100k – $120k |
| Middle | 4 | $185k | $150k – $300k |
| Senior | 1 | $120k | $120k |
| Staff | 1 | $110k | $110k |
Highest paying role
Account Executive (US)
$300k
Normalized to USD per year
All salaries at kapa.ai
By role, level and city, against the market · 9 jobs with pay
Growth
Hiring Momentum
58/100
Growing
Open positions
9
0 opened / 0 closed in 30 days
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Sales
67% ▲
AI/ML
11% ▼
Backend
11% ▼
Marketing
11% ▲
Activity Timeline
Added Machine Learning to stack
Sep 2026
Added LinkedIn to stack
Sep 2026
Added n8n to stack
Sep 2026
Added Monday.com to stack
Sep 2026
Added Grafana to stack
Sep 2026
Added Reddit to stack
Sep 2026
Added OpenAI to stack
Sep 2026
Added AI Agents to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
2
Busiest office
New York
Loading the map
Headquarters
Builds here
Office with open vacancies
No open vacancies right now Tap a pin for the office
Copenhagen
Denmark
HQ
New York
United States
Sales office
4 open roles 4 posted in 90 days 25% remote 50-200 est. staff $163k Avg Salary
hires for Sales
Jobs
$100k – $170k per year • Equity 0.1–0.2% • Remote (Europe) • Full-Time • 3+ years exp • Master's Degree
Fine-tuning
Embeddings
AI Agents
RAG
Machine Learning
DevOps
Docker
Apply
$100k – $150k per year • Equity 0.1–0.3% • Remote (United Kingdom, France, Russia, Belgium, Bulgaria) • Full-Time • 3+ years exp • Bachelor's Degree
Python
JavaScript
RAG
Machine Learning
Frontend
React.js
DevOps
Docker
Apply
Financials
Total raised
$3.2M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2024 | $3.2M | Details |

Y Combinator
Initialized Capital 




