Author: azeeadmin

Reentering society after having been incarcerated by the criminal justice system can be daunting. Advances in technology and the continued, unchecked march of capitalism place obstacles in paths that can generally be difficult to overcome.

Fortunately for these returning citizens there are a variety of programs and resources designed to help get them up to speed. One such organization, The Last Mile, aims to help incarcerated folks learn skills so that they have a shot to get jobs after they reenter society. Some companies, like Slack, have committed to hiring returned citizens.

At TechCrunch Sessions: Justice on March 3, we’ll examine the importance of opportunities for returning citizens upon release from incarceration with a panel of people working in this important transition space. Joining us for the virtual discussion will be Aly Tamboura, strategic advisor at the newly formed Justice Accelerator Fund; Jason Jones, remote instruction manager for The Last Mile; and Deepti Rohatgi, head of Slack for Good and Public Affairs.

Aly Tamboura graduated from The Last Mile program while at San Quentin. Until recently, Tamboura was a manager in the Criminal Justice Reform Program at the Chan Zuckerberg Initiative, where he helped to guide the organization toward one of its stated goals, to reform the American criminal justice system. Just last week, the Justice Accelerator Fund announced that Tamboura joined the grant-making organization as its first strategic advisor. Tamboura will work alongside Founder and Executive Director Ana Zamora to “operationalize the fund and launch its first grant-making strategy later this year.”

Jason Jones also graduated from The Last Mile in 2018. Upon his release from San Quentin, he joined the organization as its remote instruction manager. He is a web developer and volunteers at West Oakland’s McClymonds High School teaching coding.

Slack decided to build its own take on programs like The Last Mile with Next Chapter, which helps train up formerly incarcerated individuals for jobs in tech and has hired a few itself. Deepti Rohatgi leads Slack for Good, which developed the program, though other companies have signed on to give it a try.

Join us on March 3 at TC Sessions: Justice to hear from Tamboura, Jones and Rohatgi about how the ability to start from a place of strength can help set folks up for success, as well as what the tech industry can do to help foster this environment. You can get your $5 ticket here.

Krisp, a startup that uses machine learning to remove background noise from audio in real time, has raised $9M as an extension of its $5M A round announced last summer. The extra money followed big traction in 2020 for the Armenian company, which grew its customers and revenue by more than an order of magnitude.

TechCrunch first covered Krisp when it was just emerging from UC Berkeley’s Skydeck accelerator, and co-founder Davit Baghdasaryan was relatively freshly out of his previous role at Twilio. The company’s pitch when I chatted with them in the shared office back then was simple and remains the core of what they offer: isolation of the human voice from any background noise (including other voices) so that audio contains only the former.

It probably comes as no surprise, then, that the company appears to have benefited immensely from the shift to virtual meetings and other trends accelerated by the pandemic. To be specific, Baghdasaryan told me that 2020 brought the company a 20x increase in active users, a 23x increase in enterprise accounts and 13x improvement of annual recurring revenue.

The rise in virtual meetings — often in noisy places like, you know, homes — has led to significant uptake across multiple industries. Krisp now has more than 1,200 enterprise customers, Baghdasaryan said: banks, HR platforms, law firms, call centers — anyone who benefits from having a clear voice on the line (“I guess any company qualifies,” he added). Enterprise-oriented controls like provisioning and central administration have been added to make it easier to integrate.

B2B revenue recently eclipsed B2C; the latter was likely popularized by Krisp’s inclusion as an option in popular gaming (and increasingly beyond) chat app Discord, though of course users of a free app being given a bonus product for free aren’t always big converters to “pro” tiers of a product.

But the company hasn’t been standing still, either. While it began with a simple feature set (turning background noise on and off, basically) Krisp has made many upgrades to both its product and infrastructure.

Noise cancellation for high-fidelity voice channels makes the software useful for podcasters and streamers, and acoustic correction (removing room echos) simplifies those setups quite a bit as well. Considering the amount of people doing this and the fact that they’re often willing to pay, this could be a significant source of income.

The company plans to add cross-service call recording and analysis; since it sits between the system’s sound drivers and the application, Krisp can easily save the audio and other useful metadata (How often did person A talk versus person B? What office locations are noisiest?). And the addition of voice cancellation — other people’s voices, that is — could be a huge benefit for people who work, or anticipate returning to work, in crowded offices and call centers.

Part of Krisp’s allure is the ability to run locally and securely on many platforms with very low overhead. But companies with machine learning-based products can stagnate quickly if they don’t improve their infrastructure or build more efficient training flows — Lengoo, for instance, is taking on giants in the translation industry with better training as more or less its main advantage.

Krisp has been optimizing and reoptimizing its algorithms to run efficiently on both Intel and ARM architectures, and decided to roll out its own servers for training its models instead of renting from the usual suspects.

“AWS, Azure and Google Cloud turned out to be too expensive,” Baghdasaryan said. “We have invested in building a data center with Nvidia’s latest A100s in them. This will make our experimentation faster, which is crucial for ML companies.”

Baghdasaryan was also emphatic in his satisfaction with the team in Armenia, where he and his co-founder Arto Minasyan are from, and where the company has focused its hiring, including the 25-strong research team. “By the end of 2021 it will be a 45-member team, all in Armenia,” he said. “We are super happy with the math, physics and engineering talent pool there.”

The funding amounts to $14 million if you combine the two disparate parts of the A round, the latter of which was agreed to just three months after the first. That’s a lot of money, of course, but may seem relatively modest for a company with a thousand enterprise customers and revenue growing by more than 2,000% year over year.

Baghdasaryan said they just weren’t ready to take on a whole B round, with all that involves. They do plan a new fundraise later this year when they’ve reached $15 million ARR, a goal that seems perfectly reasonable given their current charts.

Of course startups with this kind of growth tend to get snapped up by larger concerns, but despite a few offers Baghdasaryan says he’s in it for the long haul — and a multibillion dollar market.

The rush to embrace the new virtual work economy may have spurred Krisp’s growth spurt, but it’s clear that neither the company nor the environment that let it thrive are going anywhere.

Krisp, a startup that uses machine learning to remove background noise from audio in real time, has raised $9M as an extension of its $5M A round announced last summer. The extra money followed big traction in 2020 for the Armenian company, which grew its customers and revenue by more than an order of magnitude.

TechCrunch first covered Krisp when it was just emerging from UC Berkeley’s Skydeck accelerator, and co-founder Davit Baghdasaryan was relatively freshly out of his previous role at Twilio. The company’s pitch when I chatted with them in the shared office back then was simple and remains the core of what they offer: isolation of the human voice from any background noise (including other voices) so that audio contains only the former.

It probably comes as no surprise, then, that the company appears to have benefited immensely from the shift to virtual meetings and other trends accelerated by the pandemic. To be specific, Baghdasaryan told me that 2020 brought the company a 20x increase in active users, a 23x increase in enterprise accounts and 13x improvement of annual recurring revenue.

The rise in virtual meetings — often in noisy places like, you know, homes — has led to significant uptake across multiple industries. Krisp now has more than 1,200 enterprise customers, Baghdasaryan said: banks, HR platforms, law firms, call centers — anyone who benefits from having a clear voice on the line (“I guess any company qualifies,” he added). Enterprise-oriented controls like provisioning and central administration have been added to make it easier to integrate.

B2B revenue recently eclipsed B2C; the latter was likely popularized by Krisp’s inclusion as an option in popular gaming (and increasingly beyond) chat app Discord, though of course users of a free app being given a bonus product for free aren’t always big converters to “pro” tiers of a product.

But the company hasn’t been standing still, either. While it began with a simple feature set (turning background noise on and off, basically) Krisp has made many upgrades to both its product and infrastructure.

Noise cancellation for high-fidelity voice channels makes the software useful for podcasters and streamers, and acoustic correction (removing room echos) simplifies those setups quite a bit as well. Considering the amount of people doing this and the fact that they’re often willing to pay, this could be a significant source of income.

The company plans to add cross-service call recording and analysis; since it sits between the system’s sound drivers and the application, Krisp can easily save the audio and other useful metadata (How often did person A talk versus person B? What office locations are noisiest?). And the addition of voice cancellation — other people’s voices, that is — could be a huge benefit for people who work, or anticipate returning to work, in crowded offices and call centers.

Part of Krisp’s allure is the ability to run locally and securely on many platforms with very low overhead. But companies with machine learning-based products can stagnate quickly if they don’t improve their infrastructure or build more efficient training flows — Lengoo, for instance, is taking on giants in the translation industry with better training as more or less its main advantage.

Krisp has been optimizing and reoptimizing its algorithms to run efficiently on both Intel and ARM architectures, and decided to roll out its own servers for training its models instead of renting from the usual suspects.

“AWS, Azure and Google Cloud turned out to be too expensive,” Baghdasaryan said. “We have invested in building a data center with Nvidia’s latest A100s in them. This will make our experimentation faster, which is crucial for ML companies.”

Baghdasaryan was also emphatic in his satisfaction with the team in Armenia, where he and his co-founder Arto Minasyan are from, and where the company has focused its hiring, including the 25-strong research team. “By the end of 2021 it will be a 45-member team, all in Armenia,” he said. “We are super happy with the math, physics and engineering talent pool there.”

The funding amounts to $14 million if you combine the two disparate parts of the A round, the latter of which was agreed to just three months after the first. That’s a lot of money, of course, but may seem relatively modest for a company with a thousand enterprise customers and revenue growing by more than 2,000% year over year.

Baghdasaryan said they just weren’t ready to take on a whole B round, with all that involves. They do plan a new fundraise later this year when they’ve reached $15 million ARR, a goal that seems perfectly reasonable given their current charts.

Of course startups with this kind of growth tend to get snapped up by larger concerns, but despite a few offers Baghdasaryan says he’s in it for the long haul — and a multibillion dollar market.

The rush to embrace the new virtual work economy may have spurred Krisp’s growth spurt, but it’s clear that neither the company nor the environment that let it thrive are going anywhere.

Efficient and cost-effective vaccine distribution remains one of the biggest challenges of 2021, so it’s no surprise that startup Notable Health wants to use their automation platform to help. Initially started to address the nearly $250 billion annual administrative costs in healthcare, Notable Health launched in 2017 to use automation to replace time-consuming and repetitive simple tasks in health industry admin. In early January of this year, they announced plans to use that technology as a way to help manage vaccine distribution.

“As a physician, I saw firsthand that with any patient encounter, there are 90 steps or touch points that need to occur,” said Notable Health Medical Director Muthu Alagappan in an interview. “It’s our hypothesis that the vast majority of those points can be automated.”

Notable Health’s core technology is a platform that uses robotic process automation (RPA), natural language processing (NLP) and machine learning to find eligible patients for the COVID-19 vaccine. Combined with data provided by hospital systems’ electronic health records, the platform helps those qualified to receive the vaccine set up appointments and guides them to other relevant educational resources.

“By leveraging intelligent automation to identify, outreach, educate and triage patients, health systems can develop efficient and equitable vaccine distribution workflows,” said Notable Health strategic advisor and Biden Transition COVID-19 Advisory Board Member Dr. Ezekiel Emanuel, in a press release.

Making vaccine appointments has been especially difficult for older Americans, many of whom have reportedly struggled with navigating scheduling websites. Alagappan sees that as a design problem. “Technology often gets a bad reputation, because it’s hampered by the many bad technology experiences that are out there,” he said.

Instead, he thinks Notable Health has kept the user in mind through a more simplified approach, asking users only for basic and easy-to-remember information through a text message link. “It’s that emphasis on user-centric design that I think has allowed us to still have really good engagement rates even with older populations,” he said.

While the startup’s platform will likely help hospitals and health systems develop a more efficient approach to vaccinations, its use of RPA and NLP holds promise for future optimization in healthcare. Leaders of similar technology in other industries have already gone on to have multibillion dollar valuations and continue to attract investors’ interest.

Artificial intelligence is expected to grow in healthcare over the next several years, but Alagappan argues that combining that with other, more readily available intelligent technologies is also an important step toward improved care. “When we say intelligent automation, we’re really referring to the marriage of two concepts: artificial intelligence — which is knowing what to do — and robotic process automation — which is knowing how to do it,” he said. That dual approach is what he says allows Notable Health to bypass administrative bottlenecks in healthcare, instructing bots to carry out those tasks in an efficient and adaptable way.

So far, Notable Health has worked with several hospital systems across multiple states in using their platform for vaccine distribution and scheduling, and are now using the platform to reach out to tens of thousands of patients per day.

Efficient and cost-effective vaccine distribution remains one of the biggest challenges of 2021, so it’s no surprise that startup Notable Health wants to use their automation platform to help. Initially started to address the nearly $250 billion annual administrative costs in healthcare, Notable Health launched in 2017 to use automation to replace time-consuming and repetitive simple tasks in health industry admin. In early January of this year, they announced plans to use that technology as a way to help manage vaccine distribution.

“As a physician, I saw firsthand that with any patient encounter, there are 90 steps or touch points that need to occur,” said Notable Health Medical Director Muthu Alagappan in an interview. “It’s our hypothesis that the vast majority of those points can be automated.”

Notable Health’s core technology is a platform that uses robotic process automation (RPA), natural language processing (NLP) and machine learning to find eligible patients for the COVID-19 vaccine. Combined with data provided by hospital systems’ electronic health records, the platform helps those qualified to receive the vaccine set up appointments and guides them to other relevant educational resources.

“By leveraging intelligent automation to identify, outreach, educate and triage patients, health systems can develop efficient and equitable vaccine distribution workflows,” said Notable Health strategic advisor and Biden Transition COVID-19 Advisory Board Member Dr. Ezekiel Emanuel, in a press release.

Making vaccine appointments has been especially difficult for older Americans, many of whom have reportedly struggled with navigating scheduling websites. Alagappan sees that as a design problem. “Technology often gets a bad reputation, because it’s hampered by the many bad technology experiences that are out there,” he said.

Instead, he thinks Notable Health has kept the user in mind through a more simplified approach, asking users only for basic and easy-to-remember information through a text message link. “It’s that emphasis on user-centric design that I think has allowed us to still have really good engagement rates even with older populations,” he said.

While the startup’s platform will likely help hospitals and health systems develop a more efficient approach to vaccinations, its use of RPA and NLP holds promise for future optimization in healthcare. Leaders of similar technology in other industries have already gone on to have multibillion dollar valuations and continue to attract investors’ interest.

Artificial intelligence is expected to grow in healthcare over the next several years, but Alagappan argues that combining that with other, more readily available intelligent technologies is also an important step toward improved care. “When we say intelligent automation, we’re really referring to the marriage of two concepts: artificial intelligence — which is knowing what to do — and robotic process automation — which is knowing how to do it,” he said. That dual approach is what he says allows Notable Health to bypass administrative bottlenecks in healthcare, instructing bots to carry out those tasks in an efficient and adaptable way.

So far, Notable Health has worked with several hospital systems across multiple states in using their platform for vaccine distribution and scheduling, and are now using the platform to reach out to tens of thousands of patients per day.

TechCrunch is excited to announce that Zoom chief revenue officer (CRO) Ryan Azus is joining us at TechCrunch Early Stage on April 1.

Azus has worked at Cisco, RingCentral and most recently Zoom. In his previous roles he held a number of sales titles, including his final role at RingCentral where he was its executive vice president of global sales and services.

Zoom needs little introduction, having crossed over from enterprise software success story to consumer phenomenon during the COVID-19 pandemic, during which time companies, groups, individuals and families leaned on the video chat provider to stay in touch.

Azus has been at the helm of Zoom’s money engine since mid-2019, which means that he has sat atop it during one of the most impressive periods of sales growth at any software company — ever.

So we’re glad that he’ll be at TC Early Stage this year, where we’ll pepper him with questions. Bring your own, of course, as we’ll be reserving around half our time for audience Q&A.

But the TechCrunch crew has a plethora of things we want to chat about too, including the importance of bottom-up sales during the pandemic, especially in contrast to the more traditional sales bullpen model that many startups have historically used; how to balance self-service sales and human-powered sales at a tech company that presents both options to customers, and their relative strength in 2021; changes to sales incentive metrics at Zoom over time from which startups might be able to learn; and how to maintain order and culture in a quickly scaling, remote sales organization.

We’re also curious how Zoom managed to adapt to the pandemic itself, like how long it took the company to reach full-strength from a sales perspective as it moved to remote work and customers that were also out of the office. The simple answer is that his company simply used more of its own product, but there’s more to the story that we want to hear.

Often at TechCrunch events we round up a cadre of executives from well-known technology companies and then hammer them for news. Early Stage is a bit different, focusing instead on extracting knowledge, tips and what-pitfalls-to-avoid from tech folks interested in helping startups do more, more quickly.

Azus won’t be coming alone. Bucky Moore from Kleiner will be in the house, along with Neal Sales-Griffin (a managing director at Techstars) and Eghosa Omoigui (a managing general partner at EchoVC Partners). The list goes on, as you can see here. (We’re also having a big pitch-off, so make sure to come to both days of the event.)

TC Early Stage continues TechCrunch’s recent spate of virtual events, so no matter where you are, you can tune in and learn. Register today to take advantage of early-bird pricing, don’t forget to bring your best questions, and we’ll see you in early April!

TechCrunch is excited to announce that Zoom chief revenue officer (CRO) Ryan Azus is joining us at TechCrunch Early Stage on April 1.

Azus has worked at Cisco, RingCentral and most recently Zoom. In his previous roles he held a number of sales titles, including his final role at RingCentral where he was its executive vice president of global sales and services.

Zoom needs little introduction, having crossed over from enterprise software success story to consumer phenomenon during the COVID-19 pandemic, during which time companies, groups, individuals and families leaned on the video chat provider to stay in touch.

Azus has been at the helm of Zoom’s money engine since mid-2019, which means that he has sat atop it during one of the most impressive periods of sales growth at any software company — ever.

So we’re glad that he’ll be at TC Early Stage this year, where we’ll pepper him with questions. Bring your own, of course, as we’ll be reserving around half our time for audience Q&A.

But the TechCrunch crew has a plethora of things we want to chat about too, including the importance of bottom-up sales during the pandemic, especially in contrast to the more traditional sales bullpen model that many startups have historically used; how to balance self-service sales and human-powered sales at a tech company that presents both options to customers, and their relative strength in 2021; changes to sales incentive metrics at Zoom over time from which startups might be able to learn; and how to maintain order and culture in a quickly scaling, remote sales organization.

We’re also curious how Zoom managed to adapt to the pandemic itself, like how long it took the company to reach full-strength from a sales perspective as it moved to remote work and customers that were also out of the office. The simple answer is that his company simply used more of its own product, but there’s more to the story that we want to hear.

Often at TechCrunch events we round up a cadre of executives from well-known technology companies and then hammer them for news. Early Stage is a bit different, focusing instead on extracting knowledge, tips and what-pitfalls-to-avoid from tech folks interested in helping startups do more, more quickly.

Azus won’t be coming alone. Bucky Moore from Kleiner will be in the house, along with Neal Sales-Griffin (a managing director at Techstars) and Eghosa Omoigui (a managing general partner at EchoVC Partners). The list goes on, as you can see here. (We’re also having a big pitch-off, so make sure to come to both days of the event.)

TC Early Stage continues TechCrunch’s recent spate of virtual events, so no matter where you are, you can tune in and learn. Register today to take advantage of early-bird pricing, don’t forget to bring your best questions, and we’ll see you in early April!

If we are not careful, every entry of this column could consist of SPAC news.

Special purpose acquisition companies, or blank-check companies, whatever you prefer to call them, are enormous business today. But they aren’t the only thing going on, and we’ll get to other things shortly. Consider this an apology for having written about SPACs twice in two days.

Yesterday, we considered the rise of the VC-led SPAC and whether venture capital groups that offer seed-through-SPAC money will wind up with advantage in the market over firms that specialize on any particular startup stage. Sticking to the blank-check theme, this morning we’re looking into two SPAC-led deals, namely those involving Rover and MoneyLion.

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The Exchange explores startups, markets and money. Read it every morning on Extra Crunch, or get The Exchange newsletter every Saturday.

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We’re doubling up to prevent more SPAC-related posts. And we’ve selected Rover because Chewy, another pet-themed entity, is an already-public company. As both were venture-backed, we may be able to contrast their trading performance post-debut. Sadly, Chewy is focused on pet e-commerce while Rover is more centered around pet services, but they may prove close enough for some loose comparisons.

And why chat about MoneyLion? Because it’s a heavily venture-backed fintech startup, one that TechCrunch has covered extensively. If its SPAC-assisted vault into the public markets goes well, it could smooth the same path forward for myriad other yet-private fintechs sitting atop a mountain of raised capital.

So this is a SPAC post, but as we’ll largely be looking at the financial health of two companies that we’ve heard about for ages and never got to see inside of, I hope you join me all the same.

We’re starting with the Rover investor presentation, before zipping over to MoneyLion’s own.

Rover

Rover is merging with Nebula Caravel Acquisition Corp., which is affiliated with True Wind Capital. The deal gives Rover an anticipated market cap of around $1.6 billion, with around $300 million in cash on its books.

So, how attractive is this new unicorn? You can find its investor deck here, if you want to read along as we peek.

First up, the company stresses rising use of digital services in the last year thanks to the pandemic and the fact that pet ownership is growing. Both of which are true. We’ve seen the accelerating digital transformation for both companies and consumers. And if you’ve tried to adopt a pet lately, you’ve seen how few are left waiting for forever homes.

With those things behind it, you might be wondering why Rover is pursuing a SPAC-led debut as well. If its market is hot and it has previously raised venture capital, why not just go public via an IPO? Because 2020 was tough on the company.

Revenue dipped from $95 million in 2019 to just $48 million last year. Bookings fell from 4.2 million to 2.4 million over the same time frame, leading to gross booking value falling from $436 million in 2019 to $233 million in 2020. Why? Because everyone was stuck at home. With their pets. A situation that limited demand for Rover-delivered pet services.

If we are not careful, every entry of this column could consist of SPAC news.

Special purpose acquisition companies, or blank-check companies, whatever you prefer to call them, are enormous business today. But they aren’t the only thing going on, and we’ll get to other things shortly. Consider this an apology for having written about SPACs twice in two days.

Yesterday, we considered the rise of the VC-led SPAC and whether venture capital groups that offer seed-through-SPAC money will wind up with advantage in the market over firms that specialize on any particular startup stage. Sticking to the blank-check theme, this morning we’re looking into two SPAC-led deals, namely those involving Rover and MoneyLion.

---

The Exchange explores startups, markets and money. Read it every morning on Extra Crunch, or get The Exchange newsletter every Saturday.

---

We’re doubling up to prevent more SPAC-related posts. And we’ve selected Rover because Chewy, another pet-themed entity, is an already-public company. As both were venture-backed, we may be able to contrast their trading performance post-debut. Sadly, Chewy is focused on pet e-commerce while Rover is more centered around pet services, but they may prove close enough for some loose comparisons.

And why chat about MoneyLion? Because it’s a heavily venture-backed fintech startup, one that TechCrunch has covered extensively. If its SPAC-assisted vault into the public markets goes well, it could smooth the same path forward for myriad other yet-private fintechs sitting atop a mountain of raised capital.

So this is a SPAC post, but as we’ll largely be looking at the financial health of two companies that we’ve heard about for ages and never got to see inside of, I hope you join me all the same.

We’re starting with the Rover investor presentation, before zipping over to MoneyLion’s own.

Rover

Rover is merging with Nebula Caravel Acquisition Corp., which is affiliated with True Wind Capital. The deal gives Rover an anticipated market cap of around $1.6 billion, with around $300 million in cash on its books.

So, how attractive is this new unicorn? You can find its investor deck here, if you want to read along as we peek.

First up, the company stresses rising use of digital services in the last year thanks to the pandemic and the fact that pet ownership is growing. Both of which are true. We’ve seen the accelerating digital transformation for both companies and consumers. And if you’ve tried to adopt a pet lately, you’ve seen how few are left waiting for forever homes.

With those things behind it, you might be wondering why Rover is pursuing a SPAC-led debut as well. If its market is hot and it has previously raised venture capital, why not just go public via an IPO? Because 2020 was tough on the company.

Revenue dipped from $95 million in 2019 to just $48 million last year. Bookings fell from 4.2 million to 2.4 million over the same time frame, leading to gross booking value falling from $436 million in 2019 to $233 million in 2020. Why? Because everyone was stuck at home. With their pets. A situation that limited demand for Rover-delivered pet services.

Trello, the Kanban board-centric project management tool acquired by Atlassian in 2017, today launched what is likely one of its most important updates in recent years. With significantly more than 50 million users, Trello is one of the most popular project management tools around, and in many ways it brought digital Kanban boards to the mainstream. That focus doesn’t change with today’s release, but the team is now adding a slew of new board views and new capabilities to the individual cards that make up those views, with a special focus on bringing more data from third-party tools right into those cards. That’s in addition to a number of changes to the overall look and feel of the service.

“Over the years, we’ve built this huge, passionate audience of people,” Michael Pryor, Trello’s co-founder and now Atlassian’s head of Trello, told me ahead of today’s announcement, “We have way over 50 million signups — and that 50 million number is from 2018 or something, they won’t let me yet give out the current number. [ … ] Then last year, the pandemic hits. We talked about the future of work, right? And then, all of a sudden, it was like: nope, that’s just work. That’s how everyone works. Now, it’s all distributed. We just compressed it all at once. And we had this overnight shift. We would talk previously about this explosion of apps, we would talk about all the browser tabs, people getting lost in information sprawl. Now, it’s just turned up to eleven.”

The reason behind a lot of the new features was to make it easier for users to do more work inside of Trello and to get better macro views of what teams are working on themselves, but also what is happing across teams and inside an organization. In addition, the new Trello adds more ways to see data from other tools natively inside the service, without having to switch tools.

In practice, that means Trello is adding five new views to Trello (and making it easy to switch between them): team table view for tracking cross-company or cross-project work in a spreadsheet-like fashion; timeline view for managing roadblocks and making data adjustments; calendar view for tracking deadline and time-sensitive tasks; map view for users who have location-based projects; and finally dashboard view for better visualizing success metrics and building reports.

For the most part, the names here are self-explanatory. What’s maybe the most interesting feature here, though, is that the new team table view is Trello’s first view that brings in multiple boards.

“It raises your perspective up to the portfolio level — not just at a single board level,” Pryor said. “Eventually, all the views will do that same thing and so we will essentially have this ability that if you’re on a board, you can pivot your cards and look at them depending on what the project is and how you need them.” The idea here, he explained, was to use and extend Trello’s existing visual language to add these shared perspectives.

What’s also important here is that Trello plans to open this feature to third parties that may want to build their own views as well. The Trello team itself, for example, built a slide view that automatically creates slides for all of the cards in a project to make it easy for somebody to present them in a meeting, for example.

Pryor argues that what Trello is doing with its new cards, though, is maybe even more important. The team is adding over 30 new card types where, just by adding a URL that links to YouTube, Google Drive, Figma, JIRA  or even other Trello boards, you’ll be able to see previews of what you linked to right inside of Trello.

“What that does, I think, is that it elevates what that card represents from just being a thing that exists only within Trello to represent work that’s happening across all these other tools,” Pryor explained. “So now your Jira tickets can exist alongside your Trello cards. And you’re categorizing that and moving and talking about it in a way that’s independent of what’s happening in Jira — it could be connected to it, but it adds this ability to create a dashboard that brings all that work into one place.”

Pryor noted that the team wanted to leverage the simplicity and visual language that Trello’s users already love and then apply that to other tools. “We could get into a race and just build project management-type features,” he said. The team wants to build more than just a project management app. It wants Trello to be an app that helps users manage all of their projects. Just adding features, he argues, would just lead to bloat. Instead, the team wants to take its card metaphor, expand on that and allow its users to build new solutions inside of Trello, using a visual language they are already familiar with.

Another new feature that’s coming soon — and one that the Trello community has been expecting for a while — is mirror cards, which essentially allow you to share the same card between boards. All you have to do is link from a source card to a card on another board and that new card will look just like the original card.