dltHub
dlthub.com
Actively hiring
Data Transformation & Orchestration
Custom Software Development
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Financials
Funding and backers
Total raised
$12.7M
2 rounds on record
Latest round
$8M
Venture round · Aug 2025 · 14 mo ago
Team
51-200
employees, estimated range
Hiring now
2
+2 posted in 30 days
Backers
2
Bessemer Venture Partners, Angel Invest
The money's age
Due for its next round
14 months since the last round · and hiring
Momentum
42/100
hiring for its size, in the news
Last sign of life
1 mo ago
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Oct 15, 2025
Launched on Hacker News Show HN: We built a LLM-native workflow with 3500 scaffolds and a debug app
Aug 22, 2025
Raised a round Venture round $8M · SEC Form D
Dec 14, 2023
Raised a round Venture round $4.7M · SEC Form D
2022
Founded
Tractionpublic signals, read monthly
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Aug 2025 | $8M | — | SEC Form D |
| Venture round | Dec 2023 | $4.7M | — | SEC Form D |
Registers and programsofficial lists and records that name the company
| Legal entity | ScaleVector GmbH | its site |
| Registered | 20 Apr 2022 |
Founders and leadersfrom filings, registers and the company's site
Anna HoffmanExecutive Officer, DirectorSEC Form D
Matthaus KrzykowskiExecutive Officer, DirectorSEC Form D
Matthäus KrzykowskiManaging Directorcompany's site
Backed byfrom the funds' portfolios and accelerator catalogs
Bessemer Venture Partners 
Angel Invest Investors in similar startupsfunds that back the companies most like this one
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News
From Raw Tables to Conversational Analytics in One Afternoon
We previously explained in detail how to build canonical models. This blog takes that further: declare a BigQuery property graph over those models, query it with GQL, then ask it questions in plain English. The ontology resolved in the first step is what
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Why you still need data people in the agentic era & what for
AI can automate data pipelines, but only humans can own business accountability.
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Step by step: Hubspot connector from Fivetran to dlthub
Migrating a HubSpot pipeline from Fivetran to dlt: reverse-engineering the vendor schema, rebuilding the load and 13 dbt models.
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dltHub: dlt made agents good at building pipelines. Now they're safe enough to run for your whole team.
dlt made agents good at building pipelines. dltHub makes their work safe to run: agentic alerts, team workspaces, and managed infrastructure for your whole team.
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Validating Trust in Data: How dltHub Delivers GxP-Ready, Auditable Ingestion into Snowflake
In regulated life sciences, "can you explain your data?" has moved from a QA question to a board-level one. dltHub turns ingestion into validated, testable code - built on dlt, run on dltHub - so your team and their agents produce data that lands in Snowf
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Transformations that know their context
dlthub ships 2 ways to run transformations - you can bring your own dbt project or use dlthub native transformations. This posts aims to explain to practitioners and technical decision makers how the two methods are different. Let's dive in!
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Composable canonicals: from tribal data knowledge to versioned artifact
In this article, I'm exploring an AI-native architecture that aims to solve the traditional central data team problem.
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dlt vs dltHub: the five ecosystem layers dltHub adds
dlt handles ingestion. dltHub adds the five ecosystem layers you'd otherwise build yourself: AI harness, context catalog, transformation, orchestration, managed infra.
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Moving off Airbyte
Moving off Airbyte: what the switch to dlt does to your ops load, your bill, and who can build pipelines. Real numbers on cost, reliability, and maintenance.
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Productionize Python ETL Scripts: Migrate to dlt & dltHub
Schema breaks, OOM deaths, duplicate loads, bus factor of one. What it takes to make hand-rolled pipelines production-grade, and what it costs to run them after.
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Tech stack
Technologies named in job postings at dltHub over the last 12 months, by layer, with the share of postings for each.
Technologies in use
4
Postings analysed
2
Stack modernity
85/100AI adopter
Languages
Python
AI & ML
Claude
Practices & domains
AI Agents
Agentic Workflows
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People
Anna Hoffman
Executive Officer, Director
Matthaus Krzykowski
Executive Officer, Director
Matthäus Krzykowski
Managing Director
Marcin Rudolf
Director
Lauri Moore
Director
Melissa Lester
Director
Steve Vassallo
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
79/100
Scaling fast
Open positions
2
2 opened / 0 closed in 30 days
ATS activity
Every ~12 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.
Communications
50% ▲
Marketing
50% ▲
Activity Timeline
Added Python to stack
Oct 2026
Added Agentic Workflows to stack
Oct 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Berlin
Berlin
Germany
HQ
2 open roles 2 posted in 90 days 50-200 est. staff
hires for Communications, Marketing