Technology
Fair-code pioneer n8n raises $60M for AI-powered workflow automation
Developer tooling is changing rapidly with AI. So companies that are making it easier to adopt AI in their workflows are seeing a boom of attention. After a startup called n8n (pronounced “enay-ten”) pivoted its workflow automation platform to become more AI-friendly in 2022, it said it saw its revenues increase 5X, doubling in the last two months alone.
Now on the back of that growth, TechCrunch has confirmed that n8n has raised €55 million ($60 million) in funding on a valuation sources close to the company tell us is in the region of €250 million ($270 million).
Berlin-based n8n said it now has more than 3,000 enterprise customers and around 200,000 active users on its books. The startup will be using this Series B to continue investing in tech and to expand in newer markets like the U.S., home to more than half of n8n’s user base. The company does not disclose revenues, and that customer number includes both free and paying users, as well as those taking short-term and longer-term subscriptions.
Highland Europe is leading this latest round, with HV Capital and previous backers Sequoia, Felicis, and Harpoon also participating. Sequoia led the seed round for n8n in 2020; Felicis the Series A in 2021.
The startup, founded in 2019, picked up traction in its early years from developer teams that were looking for low-code and no-code automation solutions to make it easier to stitch applications together in ways without a lot of onerous coding.
It picked up attention for another reason, too: n8n had built a reputation by being closely tied to the concept of “fair code.”
Fair code is a progression of open source. Software developers use open source code for free, but when they want to commercialize work built on top of it, it establishes principles for compensating the open source creators or community. Jan Oberhauser, the founder and CEO of n8n, came up with the idea and runs a site dedicated to fair code.
But while n8n itself is built on fair code and leans into the open source community to grow by word of mouth — it has more than 70,000 “stars” on GitHub — the company says that it was weaving in AI that became its rocket ship.
AI, and in particular generative AI, is a clear complement to automation — something that close competitors like Tines and Workato have also embraced, as have others in the wider automation world like UiPath.
If automation and low-code approaches have erased some of the busy work of pulling together how different apps or services worked together, generative AI brings even less technicality into the mix.
A year and a half ago, Oberhauser said, “we could see this AI thing coming at us.” He quickly surmised that the sweet spot would be to work it into its products, to start to reduce the amount of work it took developers to implement automations by turning instructions into natural language.
“It’s a prompt to build workflow,” is how Oberhauser describes it. “People don’t really need to write 50 lines of code to integrate the functionality of, say, sending an email.” Now in natural language, you can write “get information from X and send it to Y,” he said. “We see the value in making changes to that more easily.”
The product was built with a blend of LLMs in mind, and the idea is that if end users are already building services using one LLM or another, it can be swapped in to work with n8n’s platform. And like a number of other developer-focused platforms, n8n has a fairly extensive contributor community that is active on platforms like GitHub, gets involved in forums to help other developers with their questions, and builds and uses workflow templates built by others (n8n also has pre-built a number of workflow templates).
Even with all the hype and hope around artificial intelligence and GenAI these days, the AI-powered version of n8n took a while to stick, with virtually no take-up at all at first. Then last year, there was a sudden a tipping point.
Why? Perhaps the weight of a couple of trends coming together. There was the burst of chatter around AI in coding, with companies like Poolside, Codeium, and Magic all raising big money within months of each other. And then within end users themselves, the chant to figure out how to use AI also became louder.
But there is a lot of hype and talk out there, too, and so ultimately n8n’s ease of use and usefulness seems to be what has sealed the deal with users, but also investors.
“Everyone is trying to leverage AI but struggling to find practical use cases,” David Blyghton, the general partner at Highland who led the round, told me over a phone call. “The design, scale, and throughput of n8n is what allows people to adopt it.”
Oberhauser admits that although “it took a while for the market to catch up,” now he says that around 75% of all of n8n’s customers are using the AI tools they have built.
Technology
The Case for Custom eLearning Platforms: Why Organizations Are Making the Switch
The corporate eLearning market has exploded in recent years, growing over 800% since 2000. As the demand for eLearning continues to accelerate, more and more organizations are finding that off-the-shelf solutions cannot keep pace with their training needs. This has led many companies to make the switch to custom-built eLearning platforms tailored specifically for their requirements.
There are several key reasons driving the demand for customized eLearning tools:
Greater Flexibility and Scalability
Generic eLearning software packages often impose rigid constraints that limit their ability to adapt to an organization’s evolving needs. Meanwhile, the “one-size-fits-all” approach fails to support the personalized learning critical for employee development. Custom platforms provide flexibility to add and modify features to match ever-changing business goals. As companies scale training across global workforces, custom solutions built on cloud infrastructure can scale seamlessly to handle growing demand.
Deeper Integration Across Systems
Smooth integration with existing HR, LMS, and other business systems is critical for optimizing training workflows. However, off-the-shelf tools rarely integrate well, creating data and process siloes. Custom platforms can tightly integrate role-based learning paths with core business applications, sync user profiles, enable single sign-on, and more. This level of integration catalyzes more impactful training function.
Better Data and Analytics
Generic software severely limits access to data insights that drive improvement. Custom platforms unlock a trove of analytics on content consumption, learner progression, platform adoption, and real-time feedback. Integrated analytics dashboards and APIs allow businesses to derive deep visibility across the learner lifecycle. These insights help continuously enhance learner experience, target development gaps, and demonstrate direct training ROI.
Enhanced Learner Engagement
For modern learners accustomed to consumer-grade digital experiences, poor platform usability quickly erodes engagement. Custom designs allow companies to incorporate familiar features from popular apps and websites while optimizing for their audience. Adaptive learning approaches further personalize content to individual styles and needs. With modular component architecture, custom platforms stay on the cutting edge of new modalities like AR/ VR to captivate learners.
Brand and Culture Alignment
Off-the-shelf tools impose a generic and often disruptive experience that clashes with existing brand identity and culture. In contrast, custom platforms allow organizations to carry over familiar styling, voice, and workflow patterns. Consistency in experience preserves brand recognition while smoother onboarding leads to wider adoption across all employee groups. Over time, the platform can evolve alongside cultural changes as well.
While custom elearning tools require greater upfront investment, for enterprise training needs, the long-term benefits far outweigh the costs. The ability to mold platforms to current and future needs results in greater leverage from learning spend.
As businesses demand ever-more from their learning technology, custom solutions provide the agility needed for true scale. Rather than forcing training functions into the constraints of generic software, custom elearning development keeps the focus on nurturing talent and capabilities. For any organization looking to drive workforce transformation through learning, custom elearning represents the way forward.
Technology
Pintarnya raises $16.7M to power jobs and financial services in Indonesia
Pintarnya, an Indonesian employment platform that goes beyond job matching by offering financial services along with full-time and side-gig opportunities, said it has raised a $16.7 million Series A round.
The funding was led by Square Peg with participation from existing investors Vertex Venture Southeast Asia & India and East Ventures.
Ghirish Pokardas, Nelly Nurmalasari, and Henry Hendrawan founded Pintarnya in 2022 to tackle two of the biggest challenges Indonesians face daily: earning enough and borrowing responsibly.
“Traditionally, mass workers in Indonesia find jobs offline through job fairs or word of mouth, with employers buried in paper applications and candidates rarely hearing back. For borrowing, their options are often limited to family/friend or predatory lenders with harsh collection practices,” Henry Hendrawan, co-founder of Pintarnya, told TechCrunch. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”
Around 59% of Indonesia’s 150 million workforce is employed in the informal sector, highlighting the difficulties these workers encounter in accessing formal financial services because they lack verifiable income and official employment documentation.
Pintarnya tackles this challenge by partnering with asset-backed lenders to offer secured loans, using collateral such as gold, electronics, or vehicles, Hendrawan added.
Since its seed funding in 2022, the platform currently serves over 10 million job seeker users and 40,000 employers nationwide. Its revenue has increased almost fivefold year-over-year and expects to reach break-even by the end of the year, Hendrawn noted. Pintarnya primarily serves users aged 21 to 40, most of whom have a high school education or a diploma below university level. The startup aims to focus on this underserved segment, given the large population of blue-collar and informal workers in Indonesia.
Techcrunch event
San Francisco
|
October 27-29, 2025
“Through the journey of building employment services, we discovered that our users needed more than just jobs — they needed access to financial services that traditional banks couldn’t provide,” said Hendrawan. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”

While Indonesia already has job platforms like JobStreet, Kalibrr, and Glints, these primarily cater to white-collar roles, which represent only a small portion of the workforce, according to Hendrawan. Pintarnya’s platform is designed specifically for blue-collar workers, offering tailored experiences such as quick-apply options for walk-in interviews, affordable e-learning on relevant skills, in-app opportunities for supplemental income, and seamless connections to financial services like loans.
The same trend is evident in Indonesia’s fintech sector, which similarly caters to white-collar or upper-middle-class consumers. Conventional credit scoring models for loans, which rely on steady monthly income and bank account activity, often leave blue-collar workers overlooked by existing fintech providers, Hendrawan explained.
When asked about which fintech services are most in demand, Hendrawan mentioned, “Given their employment status, lending is the most in-demand financial service for Pintarnya’s users today. We are planning to ‘graduate’ them to micro-savings and investments down the road through innovative products with our partners.”
The new funding will enable Pintarnya to strengthen its platform technology and broaden its financial service offerings through strategic partnerships. With most Indonesian workers employed in blue-collar and informal sectors, the co-founders see substantial growth opportunities in the local market. Leveraging their extensive experience in managing businesses across Southeast Asia, they are also open to exploring regional expansion when the timing is right.
“Our vision is for Pintarnya to be the everyday companion that empowers Indonesians to not only make ends meet today, but also plan, grow, and upgrade their lives tomorrow … In five years, we see Pintarnya as the go-to super app for Indonesia’s workers, not just for earning income, but as a trusted partner throughout their life journey,” Hendrawan said. “We want to be the first stop when someone is looking for work, a place that helps them upgrade their skills, and a reliable guide as they make financial decisions.”
Technology
OpenAI warns against SPVs and other ‘unauthorized’ investments
In a new blog post, OpenAI warns against “unauthorized opportunities to gain exposure to OpenAI through a variety of means,” including special purpose vehicles, known as SPVs.
“We urge you to be careful if you are contacted by a firm that purports to have access to OpenAI, including through the sale of an SPV interest with exposure to OpenAI equity,” the company writes. The blog post acknowledges that “not every offer of OpenAI equity […] is problematic” but says firms may be “attempting to circumvent our transfer restrictions.”
“If so, the sale will not be recognized and carry no economic value to you,” OpenAI says.
Investors have increasingly used SPVs (which pool money for one-off investments) as a way to buy into hot AI startups, prompting other VCs to criticize them as a vehicle for “tourist chumps.”
Business Insider reports that OpenAI isn’t the only major AI company looking to crack down on SPVs, with Anthropic reportedly telling Menlo Ventures it must use its own capital, not an SPV, to invest in an upcoming round.
-
Trending2 weeks agoApril 15, 2026 – MJF vs. Darby Allin for AEW World Title, More
-
Trending3 weeks agoTwenty-six true difference-makers in the 2026 NFL Draft; plus, 5 must-pick sleepers
-
Trending3 weeks agoWe’re 75 With $3.2 Million. Our Grandchild Needs Help Paying for College, but It’s Not Our Fault She Picked a School That’s $90k a Year!
-
Trending2 weeks agoCincinnati Reds Minor League Game Review: April 18, 2026
-
Trending2 weeks ago2026 NFL draft intel, notes: What Adam Schefter is hearing
-
Trending1 week ago2026 NBA playoffs: Western Conference first-round takeaways
-
Trending3 weeks agoTwitch star calls out Mr. Beast over “most uncomfortable” livestream ever
-
Entertainment2 weeks agoChristina Applegate’s friends fearing the worst as ‘hellish’ details of star’s hospitalization are revealed: report
