no-code software
Auto Added by WPeMatico
No-code business intelligence service y42 raises $2.9M seed round
Berlin-based y42 (formerly known as Datos Intelligence), a data warehouse-centric business intelligence service that promises to give businesses access to an enterprise-level data stack that’s as simple to use as a spreadsheet, today announced that it has raised a $2.9 million seed funding round led by La Famiglia VC. Additional investors include the co-founders of Foodspring, Personio and Petlab.
The service, which was founded in 2020, integrates with more than 100 data sources, covering all the standard B2B SaaS tools, from Airtable to Shopify and Zendesk, as well as database services like Google’s BigQuery. Users can then transform and visualize this data, orchestrate their data pipelines and trigger automated workflows based on this data (think sending Slack notifications when revenue drops or emailing customers based on your own custom criteria).
Like similar startups, y42 extends the idea data warehouse, which was traditionally used for analytics, and helps businesses operationalize this data. At the core of the service is a lot of open source and the company, for example, contributes to GitLabs’ Meltano platform for building data pipelines.
y42 founder and CEO Hung Dang. Image Credits: y42
“We’re taking the best of breed open-source software. What we really want to accomplish is to create a tool that is so easy to understand and that enables everyone to work with their data effectively,” Y42 founder and CEO Hung Dang told me. “We’re extremely UX obsessed and I would describe us as a no-code/low-code BI tool — but with the power of an enterprise-level data stack and the simplicity of Google Sheets.”
Before y42, Vietnam-born Dang co-founded a major events company that operated in more than 10 countries and made millions in revenue (but with very thin margins), all while finishing up his studies with a focus on business analytics. And that in turn led him to also found a second company that focused on B2B data analytics.
Image Credits: y42
Even while building his events company, he noted, he was always very product- and data-driven. “I was implementing data pipelines to collect customer feedback and merge it with operational data — and it was really a big pain at that time,” he said. “I was using tools like Tableau and Alteryx, and it was really hard to glue them together — and they were quite expensive. So out of that frustration, I decided to develop an internal tool that was actually quite usable and in 2016, I decided to turn it into an actual company. ”
He then sold this company to a major publicly listed German company. An NDA prevents him from talking about the details of this transaction, but maybe you can draw some conclusions from the fact that he spent time at Eventim before founding y42.
Given his background, it’s maybe no surprise that y42’s focus is on making life easier for data engineers and, at the same time, putting the power of these platforms in the hands of business analysts. Dang noted that y42 typically provides some consulting work when it onboards new clients, but that’s mostly to give them a head start. Given the no-code/low-code nature of the product, most analysts are able to get started pretty quickly — and for more complex queries, customers can opt to drop down from the graphical interface to y42’s low-code level and write queries in the service’s SQL dialect.
The service itself runs on Google Cloud and the 25-people team manages about 50,000 jobs per day for its clients. The company’s customers include the likes of LifeMD, Petlab and Everdrop.
Until raising this round, Dang self-funded the company and had also raised some money from angel investors. But La Famiglia felt like the right fit for y42, especially due to its focus on connecting startups with more traditional enterprise companies.
“When we first saw the product demo, it struck us how on top of analytical excellence, a lot of product development has gone into the y42 platform,” said Judith Dada, general partner at LaFamiglia VC. “More and more work with data today means that data silos within organizations multiply, resulting in chaos or incorrect data. y42 is a powerful single source of truth for data experts and non-data experts alike. As former data scientists and analysts, we wish that we had y42 capabilities back then.”
Dang tells me he could have raised more but decided that he didn’t want to dilute the team’s stake too much at this point. “It’s a small round, but this round forces us to set up the right structure. For the Series A, which we plan to be towards the end of this year, we’re talking about a dimension which is 10x,” he told me.
Powered by WPeMatico
Extra Crunch’s top 10 stories of 2020
I edited hundreds of stories in 2020, so choosing my favorites would be an exercise in futility.
Instead, I’ve tried to gather a sample of Extra Crunch stories that taught me something new. (Which means this top 10 list betrays my ignorance, a humbling admission for a know-it-all like myself.)
While narrowing down the field of candidates, I realized that we’re covering each of the topics on this list in greater depth next year. We already have stories in the works about no-code software, the emergence of edtech, proptech and B2B marketplaces, to name just a few.
Some readers are skeptical about paywalls, but without being boastful, Extra Crunch is a premium product, just like Netflix or Disney+. I know: We’re not as entertaining as a historical drama about the reign of Queen Elizabeth II or a space western about a bounty hunter.
But, speaking as someone who’s worked at several startups, Extra Crunch stories contain actionable information you can use to build a company and/or look smart in meetings — and that’s worth something.
Thanks for reading, and I hope you have a very happy new year.
Full Extra Crunch articles are only available to members
Use discount code ECFriday to save 20% off a one- or two-year subscription
1. The VCs who founders love the most
Image Credits: Bryce Durbin/TechCrunch
Managing Editor Danny Crichton spearheaded the development of The TechCrunch List earlier this year to help seed-stage founders connect with VCs who write first checks.
The TechCrunch List has no paywall and contains details and recommendations about more than 400 investors across 22 verticals. Once it launched, Danny crunched the data to pick out 11 investors for which “founders were particularly effusive in their praise.”
2. API startups are so hot right now
Image Credits: Juana Mari Moya(opens in a new window)/Getty Images (Image has been modified)
Alex Wilhelm uses his weekday column The Exchange to keep a close eye on “private companies, public markets and the gray space in between,” but one effort stood out: An overview of six API-based startups that were “raising capital in rapid-fire fashion” when many companies were trying to find their COVID-19 footing.
For me, this was particularly interesting because it helped me better understand that an optimal pricing structure can be key to a SaaS company’s initial success.
3. ‘No code’ will define the next generation of software
4. Tracking the growth of low-code/no-code startups
Image Credits: Richard Drury(opens in a new window)/Getty Images
Two stories about the advent of no-code/low-code software that we ran in July take the third and fourth position on this list.
I have been a no-code user for some time: Using Zapier to send automated invitations via Slack for group lunches was a real time-saver in the pre-pandemic days.
“Enterprise expenditure on custom software is on track to double from $250 billion in 2015 to $500 billion in 2020,” so we’ll definitely be diving deeper into this topic in the coming months.
5. ‘Edtech is no longer optional’: Investors’ deep dive into the future of the market
Image Credits: PM Images(opens in a new window)/Getty Images
Natasha Mascarenhas picked up TechCrunch’s edtech beat when she joined us just before the pandemic. Twelve months later, she’s an expert on the topic.
In July, she surveyed six edtech investors to “get into the macro-impact of rapid change on edtech as a whole.”
- Ian Chiu, Owl Ventures
- Shauntel Garvey and Jennifer Carolan, Reach Capital
- Jan Lynn-Matern, Emerge Education
- David Eichler, TCV
- Jomayra Hererra, Cowboy Ventures
6. B2B marketplaces will be the next billion-dollar e-commerce startups
Image Credits: Kmatta(opens in a new window)/Getty Images
In 2018, B2B marketplaces saw an estimated $680 billion in sales, but that figure is expected to reach $3.6 trillion by 2024.
As companies shifted their purchasing online, these platforms are adding a range of complementary services like payment management, targeted advertising and logistics while also hardening their infrastructure.
7. Facebook’s former PR chief explains why no one is paying attention to your startup
Caryn Marooney, right, vice president of technology communications at Facebook, poses for a picture on the red carpet for the 6th annual 2018 Breakthrough Prizes at Moffett Federal Airfield, Hangar One in Mountain View, Calif., on Sunday, Dec. 3, 2017. Image Credits: Nhat V. Meyer/Bay Area News Group
Reporter Lucas Matney spoke to Caryn Marooney in August at TechCrunch Early Stage about how startup founders who hope to expand their reach need to do a better job of connecting with journalists.
“People just fundamentally aren’t walking around caring about this new startup,” she said. “Actually, nobody does.”
Speaking as someone who’s been on both sides of this equation, I most appreciated her advice about focusing on “simplicity and staying consistent” when it comes to messaging.
“Don’t let the complexity of your intellect cloud what needs to be simple,” she said.
8. You need a minimum viable company, not a minimum viable product
Image Credits: alvarez(opens in a new window)/Getty Images
In a guest post for Extra Crunch, seed-stage VC Ann Miura-Ko shared some of what she’s learned about “the magic of product-market fit,” which she termed “the defining quality of an early-stage startup.”
According to Miura-Ko, a co-founding partner at Floodgate, startups can only reach this stage when their business model, value propositions and ecosystem are in balance.
Using lessons learned from her portfolio companies like Lyft, Refinery29 and Twitch, this article should be required reading for every founder. As one commenter posted, “I read this thinking, ‘I need to add some slides to my deck!’”
9. 6 investment trends that could emerge from the COVID-19 pandemic
10 January 2020, Berlin: Doctor Olaf Göing, chief physician of the clinic for internal medicine at the Sana Klinikum Lichtenberg, tests mixed-reality 3D glasses for use in cardiology. They can thus access their patients’ medical data and visualize the finest structures for diagnostics and operation planning by hand and speech. The Sana Clinic is, according to its own statements, the first hospital in the world to use this novel technology in cardiology. Image Credits: Jens Kalaene/picture alliance via Getty Images
During “the early innings of this period of uncertainty,” an article we published offered several predictions about investor behavior in the U.S.
Although we posted this in April, each of these forecasts seem spot-on:
- Future of work: promoting intimacy and trust.
- Healthcare IT: telemedicine and remote patient monitoring.
- Robotics and supply chain.
- Cybersecurity.
- Education = knowledge transfer + social + signaling.
- Fintech.
10. Construction tech startups are poised to shake up a $1.3-trillion-dollar industry
Image Credits: Steve Proehl(opens in a new window)/Getty Images
I’ve always found the concept of total addressable market (TAM) hard to embrace fully — the arrival of a single disruptive company could change an industry’s TAM in a week.
However, several factors are combining to transform the construction industry: high fragmentation, poor communication, a skilled labor shortage and a lack of data transparency.
Startups that help builders manage aspects like pre-construction, workflow and site visualization are making huge strides, but because “construction firms spend less than 2% of annual sales volume on IT,” the size of this TAM is not at all speculative.
11. Don’t let VCs be the gatekeepers of your success
Image Credits: PM Images(opens in a new window)/Getty Images
As a bonus, I’m including a TechCrunch op-ed written by insurtech founder Kevin Henderson that describes the myriad challenges he has faced as a Black entrepreneur in Silicon Valley.
Some of the discussions about the lack of diversity in tech can feel abstract, but his post describes its concrete consequences. For starters: he’s never had an opportunity to pitch at a VC firm where there was another Black person in the room.
“Black founders have a better chance playing pro sports than they do landing venture investments,” says Henderson.
Powered by WPeMatico
Parabola no-code platform raises $8M Series A as it focuses on e-commerce
Many workers today are still stuck doing a bushel of manual tasks, copying and pasting data into spreadsheets, sending out the same emails every morning and generally lacking any kind of automation because they lack coding skills. Parabola wants to change that with a simple drag and drop workflow setup, and today the startup announced an $8 million Series A investment.
Matrix Partners led the round with participation from Thrive Capital and various individual investors. Ilya Sukhar from Matrix will be joining the Parabola board under the terms of the agreement. The company has now raised $10.2 million, including a $2.2 million seed round in 2018.
At the same time, the company also announced a new Shopify connector. As COVID has forced a dramatic increase in online shopping, Parabola has seen a corresponding increase in demand for its workflow automation services from e-commerce vendors, and they have added functionality to support that.
Company founder and CEO Alex Yaseen sees the tool as a way to bring programming-like automation to anyone who deals with data tasks on a regular basis, particularly in a spreadsheet. “We’re a drag and drop productivity tool, and we like to say we bring the power of programming to everybody,” Yaseen told TechCrunch.
They do this by providing a library of pre-built steps that you can drag and drop onto a workflow canvas. Each of those steps helps you automate what was previously a manual, repetitive data task in Excel or Google Sheets.
Image Credits: Parabola
Lead investor Sukhar says that while low code is becoming more popular right now, he and Yaseen have always seen it as a way to bring programming-level productivity enhancing skills to a much broader set of users, and to bring that focus to e-commerce in particular.
“The real trick is finding the right set of users, the right abstraction, the right niche to start with and that’s where I think this goes back to the e-commerce focus. I think that’s what’s super exciting about the approach Parabola has taken, and what got me excited,” he said.
As e-commerce in general surges during the pandemic, Yaseen says he has seen a corresponding increase in usage on the platform over the last couple of months as retail companies move online or increase their online presence and need to find ways to automate more of their internal processes to keep up.
While the company is still in its early stages of development with around 20 employees, it is actively hiring and looking to build a diverse workforce as it does. Yaseen sees this tied to the company’s overall mission of bringing programming level skills to a larger group of people who don’t know how to code, and they need a diverse set of workers that reflects society at large to build that effectively.
“We talk about this as a core authentic value, and I think we’ve done a pretty good job so far. I think we have a lot of room for improvement, as does the tech industry as a whole, but we are pushing very hard,” he said.
The company wants to use the money from this round to keep refining the design of the platform to make it even easier for non-technical users. “This round is very much for product and design work to make it increasingly comfortable for these users who are today really familiar with doing their tasks in spreadsheets […] and increasingly working towards a less and less technical user, as we make products easier and more approachable,” he said.
Powered by WPeMatico
London-based Gyana raises $3.9M for a no-code approach to data science
Coding and other computer science expertise remain some of the more important skills that a person can have in the working world today, but in the last few years, we have also seen a big rise in a new generation of tools providing an alternative way of reaping the fruits of technology: “no-code” software, which lets anyone — technical or non-technical — build apps, games, AI-based chatbots, and other products that used to be the exclusive terrain of engineers and computer scientists.
Today, one of the newer startups in the category — London-based Gyana, which lets non-technical people run data science analytics on any structured dataset — is announcing a round of £3 million to fuel its next stage of growth.
Led by U.K. firm Fuel Ventures, other investors in this round include Biz Stone of Twitter, Green Shores Capital and U+I , and it brings the total raised by the startup to $6.8 million since being founded in 2015.
Gyana (Sanskrit for “knowledge”) was co-founded by Joyeeta Das and David Kell, who were both pursuing post-graduate degrees at Oxford: Das, a former engineer, was getting an MBA, and Kell was doing a Ph. D. in physics.
Das said the idea of building this tool came out of the fact that the pair could see a big disconnect emerging not just in their studies, but also in the world at large — not so much a digital divide, as a digital light year in terms of the distance between the groups of who and who doesn’t know how to work in the realm of data science.
“Everyone talks about using data to inform decision making, and the world becoming data-driven, but actually that proposition is available to less than one percent of the world,” she said.
Out of that, the pair decided to work on building a platform that Das describes as a way to empower “citizen data scientists,” by letting users upload any structured data set (for example, a .CSV file) and running a series of queries on it to be able to visualise trends and other insights more easily.
While the longer term goal may be for any person to be able to produce an analytical insight out of a long list of numbers, the more practical and immediate application has been in enterprise services and building tools for non-technical knowledge workers to make better, data-driven decisions.
To prove out its software, the startup first built an app based on the platform that it calls Neera (Sanskrit for “water”), which specifically parses footfall and other “human movement” metrics, useful for applications in retail, real estate and civic planning — for example to determine well certain retail locations are performing, footfall in popular locations, decisions on where to place or remove stores, or how to price a piece of property.
Starting out with the aim of mid-market and smaller companies — those most likely not to have in-house data scientists to meet their business needs — startup has already picked up a series of customers that are actually quite a lot bigger than that. They include Vodafone, Barclays, EY, Pret a Manger, Knight Frank and the UK Ministry of Defense. It says it has some £1 million in contracts with these firms currently.
That, in turn, has served as the trigger to raise this latest round of funding and to launch Vayu (Sanskrit for “air”) — a more general purpose app that covers a wider set of parameters that can be applied to a dataset. So far, it has been adopted by academic researchers, financial services employees, and others that use analysis in their work, Das said.
With both Vayu and Neera, the aim — refreshingly — is to make the whole experience as privacy-friendly as possible, Das noted. Currently, you download an app if you want to use Gyana, and you keep your data local as you work on it. Gyana has no “anonymization” and no retention of data in its processes, except things like analytics around where your cursor hovers, so that Gyana knows how it can improve its product.
“There are always ways to reverse engineer these things,” Das said of anonymization. “We just wanted to make sure that we are not accidentally creating a situation where, despite learning from anaonyised materials, you can’t reverse engineer what people are analysing. We are just not convinced.”
While there is something commendable about building and shipping a tool with a lot of potential to it, Gyana runs the risk of facing what I think of as the “water, water everywhere” problem. Sometimes if a person really has no experience or specific aim, it can be hard to think of how to get started when you can do anything. Das said they have also identified this, and so while currently Gyana already offers some tutorials and helper tools within the app to nudge the user along, the plan is to eventually bring in a large variety of datasets for people to get started with, and also to develop a more intuitive way to “read” the basics of the files in order to figure out what kinds of data inquiries a person is most likely to want to make.
The rise of “no-code” software has been a swift one in the world of tech spanning the proliferation of startups, big acquisitions, and large funding rounds. Companies like Airtable and DashDash are aimed at building analytics leaning on interfaces that follow the basic design of a spreadsheet; AppSheet, which is a no-code mobile app building platform, was recently acquired by Google; and Roblox (for building games without needing to code) and Uncorq (for app development) have both raised significant funding just this week. In the area of no-code data analytics and visualisation, there are biggies like Tableau, as well as Trifacta, RapidMiner and more.
Gartner predicts that by 2024, some 65% of all app development will be made on low- or no-code platforms, and Forrester estimates that the no- and low-code market will be worth some $10 billion this year, rising to $21.2 billion by 2024.
That represents a big business opportunity for the likes of Gyana, which has been unique in using the no-code approach specifically to tackle the area of data science.
However, in the spirit of citizen data scientists, the intention is to keep a consumer version of the apps free to use as it works on signing up enterprise users with more enhanced paid products, which will be priced on an annual license basis (currently clients are paying between $6,000 and $12,000 depending on usage, she said).
“We want to do free for as long as we can,” Das said, both in relation to the data tools and the datasets that it will offer to users. “The biggest value add is not about accessing premium data that is hard to get. We are not a data marketplace but we want to provide data that makes sense to access,” adding that even with business users, “we’d like you to do 90% of what you want to do without paying for anything.”
Powered by WPeMatico