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Adobe today launched the first public version of its Illustrator vector graphics app on the iPad. That’s no surprise, given that it was already available for pre-order and as a private beta, but a lot of Illustrator users were looking forward to this day.

In addition, the company also today announced that its Fresco drawing and painting app is now available on Apple’s iPhone, too. Previously, you needed either a Windows machine or an iPad to use it.

Illustrator on the iPad supports Apple Pencil — no surprise there either — and should offer a pretty intuitive user experience for existing users. Like with Photoshop, the team adapted the user interface for a smaller screen and promises a more streamlined experience.

Image Credits: Adobe

“While on the surface it may seem simple, more capabilities reveal themselves as you work. After a while you develop a natural rhythm where the app fades into the background, freeing you to express your creativity,” the company says.

Over time, the company plans to bring more effects, brushes and AI-powered features to Illustrator in general — including on the iPad.

Image Credits: Adobe

As for Fresco, it’ll be interesting to see what that user experience will look like on a small screen. Since it uses Adobe’s Creative Cloud libraries, you can always start sketching on an iPhone and then move to another platform to finish your work. It’s worth noting that the iPhone version will feature the same interface, brushes and capabilities you’d expect on the other platforms.

The company also today launched version 2.0 of Fresco, with new smudge brushes, support for personalized brushes from Adobe Capture and more.

The web of collaboration apps invading remote work toolkits have led to plenty of messy workflows for teams that communicate in a language of desktop screenshots and DMs. Tracing a suggestion or flagging a bug in a company’s website forces engineers or designers to make sense of the mess themselves.  While task management software has given teams a funnel for the clutter, the folks at Jam question why this functionality isn’t just built straight into the product.

Jam co-founders Dani Grant and Mohd Irtefa tell TechCrunch they’ve closed on $3.5 million in seed funding and are ready to launch a public beta of their collaboration platform which builds chat, comments and task management directly onto a website, allowing developers and designers to track issues and make suggestions quickly and simply

The seed round was led by Union Square Ventures, where co-founder Dani Grant previously worked as an analyst. Version One Ventures, BoxGroup and Village Global also participated alongside some noteworthy angels including GitHub CTO Jason Warner, Cloudflare CEO Matthew Prince, Gumroad CEO Sahil Lavingia, and former Robinhood VP Josh Elman.

Like most modern productivity suites, Jam is heavy on integrations so users aren’t forced to upend their toolkits just to add one more product into the mix. The platform supports Slack, Jira, GitHub, Asana, Loom and Figma, with a few more in the immediate pipeline. Data syncs from one platform to the other bidirectionally so information is always fresh, Grant says. It’s all built into a tidy sidebar.

Grant and Irtefa met as product managers at Cloudflare, where they started brainstorming better ways to communicate feedback in a way that felt like “leaving digital sticky notes all over a product,” Grant says. That thinking ultimately pushed the duo to leave their jobs this past May and start building Jam.

The startup, like so many conceived during this period, has a remote founding story. Grant and Irtefa have only spent four days together in-person since the company was started, they raised their seed round remotely and most of the employees have never met each other in-person.

The remote team hopes their software can help other remote teams declutter their workflows and focus on what they’re building.

“On a product team, the product is the first tab everyone opens and closes,” Grant says. “So we’re on top of your product instead of on some other platform”

Jam’s interface

Microsoft is taking its Azure cloud computing platform to the final frontier – space. It now has a dedicated business unit called Azure Space for that purpose, made up of industry heavyweights and engineers who are focused on space-sector services including simulation of space missions, gathering and interpreting satellite data to provide insights, and providing global satellite networking capabilities through new and expanded partnerships.

One of Microsoft’s new partners for Azure Space is SpaceX, the progenitor and major current player in the so-called ‘New Space’ industry. SpaceX will be providing Microsoft with access to its Starlink low-latency satellite based broadband network for Microsoft’s new Azure Modular Datacenter (MDC) – essentially an on-demand container-based datacenter unit that can be deployed in remote locations, either to operate on their own or boost local cababilities.

Image Credits: Microsoft

The MDC is a contained unit, and can operate off-grid using its own satellite network connectivity add-on. It’s similar in concept to the company’s work on underwater data centres, but keeping it on the ground obviously opens up more opportunities in terms of locating it where people need it, rather than having to be proximate to an ocean or sea.

The other big part of this announcement focuses on space preparedness via simulation. Microsoft revealed the Azure Orbital Emulator today, which provides in a computer emulated environment the ability to test satellites constellation operations in simulation, using both software and hardware. It’s basically aiming to provide as close to in-space conditions as are possible on the ground in order to get everything ready for coordinating large, interconnected constellations of automated satellites in low Earth orbit, an increasing need as more defense agencies and private companies pursue this approach vs. the legacy method of relying on one, two or just a few large geosynchronous spacecraft.

Image Credits: Microsoft

Microsoft says the goal with the Orbital Emulator is to train AI for use on orbital spacecraft before those spacecraft are actually launched – from the early development phase, right up to working with production hardware on the ground before it takes its trip to space. That’s definitely a big potential competitive advantage, because it should help companies spot even more potential problems early on while they’re still relatively easy to fix (not the case on orbit).

This emulated environment for on-orbit mission prep is already in use by Azure Government customers, the company notes. It’s also looking for more partners across government and industry for space-related services, including communication, national security., satellite services including observation and telemetry and more.

It’s been nearly two years since DJI released the original Osmo Pocket. Honestly, the little gimbal is one of the most delightful products from a company that makes a lot of them. As — at best — an amateur smartphone photographer, I enjoyed my time with the product and am pretty psyched to get a little hands-on time with the sequel.

The new product streamlines the name a bit, dropping the “Osmo” to become, simply, the DJI Pocket 2. Like its predecessor, it works as both a standalone camera, or a smartphone accessory, using a handset and a large display to preview shots in real time. The three-axis gimbal can record 4K video at 60 frames a second. HDR video is now on board, as is a 8x hybrid zoom (or 4x optical). A four-mic system has been added to improve sound recording.

As ever with DJI, the software is a big piece. I was really impressed with the way the company was able to bring some of its drones’ more advanced shooting modes to the product, allowing for polished, cinematic shots on a pocket-sized device. The new version has a half-dozen or so different modes. Per DJI:

• Pro Mode: Control advanced camera settings such as ISO, shutter speed, EV, and focus mode.
• ActiveTrack 3.0: Select a subject and let DJI Pocket 2 keep it in the frame automatically.
• Slow Motion: Capture the fast-moving world in slow motion with a max speed and resolution of 8x at 1080p.
• Timelapse, Hyperlapse, Motionlapse: Speed up the world around you with the varying effects of three different time-lapse operations. Hyperlapse automatically integrates Electronic Image Stabilization (EIS) for added smoothness. Users have the ability to save individual images separately, record in RAW format, and use ActiveTrack 3.0.
• Panoramas:

• 180° Pano: Captures four photos for sweeping landscape images.
• 3×3 Pano: Merges nine images for a wide and detailed view.

• Livestreaming: Livestream directly to Facebook, YouTube, or RTMP.
• Story Mode: Preset camera movements, color profiles, and music make it easier to choose a template, record the moment, and share to social media instantly

The hardware’s been redesigned a bit this time out, with a removable baseplate for attaching a bunch of new accessories, including an additional microphone, charging case and wireless housing. There’s a wireless module as well, which lets it connect to a smartphone without having to plug it in directly.

Image Credits: DJI

It’s a pricey little deal, as far as mobile gimbals go, owing to all of the hardware on board. It retains the original’s $349 starting price, which includes a control stick and tripod mount. The $499 Creator Combo adds a wide-angle lens, wireless mic with windscreen and a mini tripod. Both are available through DJI’s site starting November 1.

Intel detailed today its contribution to PhiSat-1, a new tiny small satellite that was launched into sun-synchronous orbit on September 2. PhiSat-1 has a new kind of hyperspectral-thermal camera on board, and also includes a Movidius Myriad 2 Vision Processing Unit. That VPU is found in a number of consumer devices on Earth, but this is its first trip to space – and the first time it’ll be handling large amounts of local data, saving researchers back on Earth precious time and satellite downlink bandwidth.

Specifically, the AI on board the PhiSat-1 will be handling automatic identification of cloud cover – images where the Earth is obscured in terms of what the scientists studying the data actually want to see. Getting rid of these images before they’re even transmitted means that the satellite can actually realize a bandwidth savings of up to 30%, which means more useful data is transmitted to Earth when it is in range of ground stations for transmission.

The AI software that runs on the Intel Myriad 2 on PhiSat-1 was created by startup Ubotica, which worked with the hardware maker behind the hyperspectral camera. It also had to be tuned to compensate for the excess exposure to radiation, though a bit surprisingly testing at CERN found that the hardware itself didn’t have to be modified in order to perform within the standards required for its mission.

Computing at the edge takes on a whole new meaning when applied to satellites on orbit, but it’s definitely a place where local AI makes a ton of sense. All the same reasons that companies seek to handle data processing and analytics at the site of sensors hear on Earth also apply in space – but magnified exponentially in terms of things like network inaccessibility and quality of connections, so expect to see a lot more of this.

PhiSat-1 was launched in September as part of Arianspace’s first rideshare demonstration mission, which it aims to use to show off its ability to offer launch services to smaller startups for smaller payloads at lower costs.

At its MAX conference, Adobe today announced the launch of the latest version of Lightroom, its popular photo management and editing tool. The highlights of today’s release are the introduction of a new color grading tool that’s more akin to what you’d find in a video editor like Adobe Premiere or DaVinci Resolve, auto versioning that’s saved in the cloud (and hence not available in Lightroom Classic) and graphical watermarks, in addition to a number of other small feature updates across the application.

Adobe had already teased the launch of the new color grading feature last month, which was probably a good idea given how much of a change this is for photographers who have used Lightroom before. Adjusting color is, after all, one of the main features of Lightroom and this is a major change.

Image Credits: Adobe

At its core, the new color wheels replace the existing ‘split toning’ controls in Lightroom.

“Color Grading is an extension of Split Toning — it can do everything Split Toning did, plus much more,” Adobe’s Max Wendt explains in today’s announcement. “Your existing images with Split Toning settings will look exactly the same as they did before, your old Split Toning presets will also still look the same when you apply them, and you can still get the same results if you had a familiar starting point when doing Split Toning manually.”

My guess is that it’ll take a while for many Lightroom users to get a hang of these new color wheels. Overall, though, I think this new system is more intuitive than the current split toning feature that a lot of users regularly ignored.

The new color grading feature will be available across platforms and in Lightroom Classic, as well as Camera Raw.

The other new feature Adobe is highlighting with this release is graphical watermarks (available on Windows, Mac, iOS, iPadOS, Android and Chrome OS), that augments the existing text-based watermarking in Lightroom. This does exactly what the name implies and the watermarks are automatically applied when you share or export and image.

Image Credits: Adobe

The most important overall quality of life feature the team is adding is auto versions (also available on Windows, Mac, iOS, iPadOS, Android and Chrome OS). This makes it far easier to save different versions of an image — and these versions are synced across platforms. That way, you can easily go back and forth between different edits and revert those as necessary, too.

Image Credits: Adobe

With its new ‘best photos’ feature, Adobe is now also using its Ai smarts to find the best photos you’ve taken, but only on iOS, iPadOS, and Android, Chrome OS and the web. It’ll look at the technical aspects of your photo, as well as whether your subjects have their eyes open and face forward, for example, and the overall framing of the image. Users can decide how many of their images make the cut by toggling a threshold slider.

Another nifty new feature for Canon shooters who use Lightroom Classic is the addition of a tethered live view for Canon – with support for other cameras coming soon. With this, you get a real-time feed from your camera, making it easier to collaborate with others in real time.

Housing prices have soared in many markets across the United States over the past decades as populations have grown, square footage has increased, and new unit construction has languished. Houses that were once tens of thousands of dollars have transformed due to zoning restrictions into million-dollar manses, leaving millions without affordable housing.

Few regions have been as hard hit by housing prices as the Bay Area, where the median price for an existing home last year averaged just shy of $1 million. For John Geary, who grew up in Cupertino and whose father is a single-family home real estate developer, “I’ve seen the just under-building of housing occur my entire life here.”

He eventually linked up with Eric McInerney when the two worked at Bain, and the two quickly became friends, living together in Chicago. Both were housing nerds and talked about the housing crisis regularly, and eventually, they started looking at a way to solve the affordability problem.

While California has handled the crisis with the glacial fervor you would expect of the republic, one major change on housing has been new state laws that have made it easier to build an ADU (accessory dwelling unit), which are smaller home units tucked into existing properties (for example, a one-bedroom detached home in the backyard of an existing four-bedroom house).

The changes around these housing units became more visceral for Geary when his father, who was developing a subdivision in San Juan Bautista south of San Jose, was mandated to include 15 ADUs in a neighborhood plan for 45 lots. There weren’t great options for including the housing units at any reasonable price, and other homeowners who had attempted to construct ADUs came to a similar conclusion — indicating a gap in the market that could potentially be filled.

Geary and McInerney saw an opportunity to capitalize on the sudden openness for ADUs in California, and launched Abodu. The startup, which is based in Redwood City in the Bay Area, offers three customizable housing models that it then manufacturers to order and can deliver to homeowners in as little as about 12 weeks.

The startup raised $3.5 million for a seed round led by former TechCrunch writer Kim-Mai Cutler, who is now a partner at Initialized Capital. Her famous “vomiting anarchists” essay helped to propel housing issues to public consciousness in the Bay Area and throughout the tech industry.

A finished and installed Abodu home. Photo via Abodu.

Abodu offers three housing models today: a studio, a one-bedroom, and a two-bedroom, with prices starting at $189,000, $199,000 and $259,000 respectively. Those prices include standard installation, foundations, and utilities, but exclude city permit fees, which Geary says can range from $1,500 to $7,000. Additional, more premium options and finishes are available as well. Homeowners can buy the units online or visit the units in-person at the company’s showroom in Redwood City.

“They’re built entirely offsite to local building codes. So the same construction process, same materials, same requirements that you face building something in your backyard from the ground up. We meet all those, we just build them in a factory instead of someone’s backyard,” Geary explained.

From there, the house is put on a truck, driven to the destination, and a crane lifts the unit over the existing house on the property and places it into the intended location.

The interior of an Abodu home. Photo via Abodu.

Currently, it takes about 10 weeks to construct the unit in the factory, and 10 days to setup a backyard to host the unit. So as the unit starts to reach the finishing steps at the factory, construction crews begin to prep the property for installation. “From a homeowner’s perspective, the disruption that occurs in their life is really centered in that back quadrant of the project. So instead of months and months and months [with traditional construction], it’s only two weeks,” Geary explained.

Customers can work with Abodu to acquire standard home equity lines of credit (HELOCs) or cash-out mortgage refinancing to pay for their unit.

The company currently has 10 employees and shares its office in the same facility as its showroom in Redwood City.

Geary says that when the company first started, the focus was on homeowner-investors looking to extract rents from their backyards. But with the pandemic, there is now a greater need for families to have more flexible housing options, with kids returning home and older family members looking to separate from others to prevent infection.

Usually, databases about companies have to be painstakingly updated by humans. Soleadify is a startup that uses machine learning to create profiles for businesses in any industry. The first of the company’s products is a business search engine that keeps over 40 million business profiles updated, currently used by hundreds of companies in the USA, Europe and Asia for sales and marketing activities.

It’s now secured $1.5M in seed round funding from European venture firms GapMinder Venture Partners and DayOne Capital, as well as several prominent business angels, through Seedblink, an equity crowdfunding platform based out of Bucharest Romania.

The company plans to use the funds to further improve their technology, build partnerships and expand their marketing capabilities.

On top of Soleadify’s data, they build solutions for prospecting, market research, customer segmentation and industry monitoring.

The way it’s done is by frequently scanning billions of webpages, identifying and classifying relevant data points and creating connections between them. The result is a database of business data, that is normally only available through laborious, manual research.

College graduates this year (and perhaps in the near-term) have been looking for work in what is one of the most challenging job markets in a decade due to the coronavirus and its impacts on the economy and how people can interact with each other. Today, a startup that’s helping them with that job hunting process is announcing a big round of funding to grow its business.

Handshake, which provides a platform for college-aged students to register their interest and skills and search for suitable work, and for recruiters to search for candidates and advertise entry-level openings, has raised $80 million in a growth round of funding.

Handshake is not disclosing its valuation but a reliable source close to the startup said that the valuation has more than doubled since its last round. That was at $275 million, putting the likely valuation now between $550 million and $600 million.

The company has been around since 2014 and has built its profile in part as a more inclusive version of LinkedIn aimed at people only start starting out in the job market, and it’s using the funding to double down on that.

It now covers 17 million job seekers, 1,000 institutions of higher learning and nearly 500,000 employers, with partnerships with some 120 minority-serving institutions, which include Historically Black Colleges and Universities, and Hispanic Serving Institutions in the U.S., to help them and their students better tackle the job-hunting-recruitment market.

And in this year, Handshake has been using its latest funding — which actually closed in November 2019 — to expand to also including community colleges in its network, and expand its virtual events services.

The Series D is being led by GGV and also includes participation from all of its existing investors. Handshake already had an illustrious list of backers: its last round, a $40 million Series C in 2018, was led by EQT and also included the Chan Zuckerberg Initiative, Omidyar Network and Reach Capital, as well as True Ventures, Kleiner Perkins, Lightspeed Venture Partners, Spark Capital and KPCB Edge.

Garrett Lord, Handshake’s CEO who co-founded the company with Scott Ringwelski (CTO) and Ben Christensen (a board member), said that the coronavirus has not just impacted the job market, but also the job-hunting market.

“The pandemic, as you can imagine, has really reshaped the hiring economy,” he said. “Companies can no longer go to campus to recruit” — traditionally a huge part of how companies connect with those just entering the job market, by way of events where they can meet many people en masse — “so we’ve seen an unprecedented shift to virtual recruiting.”

Virtual events had, he added, been gaining more popularity “prior to Covid,” but suddenly it became the only game in town. He said that currently some 20,000 employers have managed virtual recruitment events at institutions using the Handshake platform. These take the form of online mixers and fairs, where it provides five 30-minute group meetings with up to 50 students in each, with recruiters providing presentations and talking with students; and/or 10-minute 1:1 meetings with students with up to 15 recruiters.

All well and good, except that the job market itself is still rocky. Lord said that there was a 20-30% drop in listings at the start of the pandemic, with particular sectors like hospitality leading that decline, with those still hiring pulling away from proactive campus recruitment. Now, seven months on, many of those realize that they have to continue to be visible and are slowly coming back.

“They need Handshake more than ever before, to replace boots on ground experience with digital and immersive experiences,” Lord said.

While managing the macroeconomic contraction, the expansion this year to including community colleges on Handshake has been a huge deal.

There has long been a perceived prestige and expertise divide between 2-year and 4-year institutions, but as our concept of higher education continues to evolve, with many students foregoing college altogether, or opting for vocational degrees that do not extend to four years of study at a university or college, and college becomes ever more expensive, it’s about time that platforms that are helping one tier of students also helps the other.

And for its investors, at a time when companies are not just talking about wanting to build more diverse work forces, but putting money where their mouths are, and internalizing that change is something that you sometimes need to be proactive to effect, Handshake is a compelling startup to invest in.

“Since its founding, Handshake has been laser focused on delivering on its vision to democratize job opportunity by connecting employers with job seeking students at institutions of higher education, and has built a rich network of 17 million job seekers, 1,000 institutions of higher learning and nearly 500,000 employers,” said Jeff Richards, Managing Partner of GGV, in a statement. “We’re delighted to join forces with the Handshake team to help the company further expand its impact by delivering innovative, industry-leading recruitment solutions and expanding into new markets.”

Before Nick Macario launched Verifiable, the Austin-based company that just raised $3 million for its api toolkit that verifies healthcare credentials, he ran a series of other businesses designed to offer public credentials for professionals.

His first foray into the world of identity management services was the personal website builder, branded.me. After that company was sold, Macario launched Remote.com, an outsourced provider of human resources services that was constantly running background checks and verifying employee credentials.

That’s where Macario got the idea for Verifiable and struck on a market opportunity that’s exploding thanks to the proliferation of telemedicine and on-demand services, and the shortage of qualified medical candidates to fill positions and meet growing demand.

This boom in remote medical services is one reason why Macario, working with co-founder and chief technology officer, Vivekanand Rajkumar, was able to raise $3 million from investors including Tiger Global, Liquid2 Ventures, Struck Capital, Soma Capital, Jack Altman, Max Mullen, and Sahil Lavingia.

“We’re at an inflection point with healthcare,” said Macario. “There are large volumes of healthcare verifications and certifications that are being verified manually… and the lack of infrastructure and credentialing is a big part of the bottleneck holding healthcare back.”

Verifiable uses Dock, a blockchain based ledger company that issues digital credentials and anchors them to a public ledger.

Verifiable provides an API that connects to hundreds of primary sources to keep updated records on the 17 million licensed healthcare providers working in the U.S.

Companies like Talkspace, Sesame and Verge Health are already using the  API to automate real-time verifications for more than 50,000 healthcare providers.

“From a broader scale, we’re automating credentialing processes, but specifically we’re automating licensing verification and monitoring,” Macario said.

The Verifiable chief executive estimates that several billions of dollars in revenue and fines are lost every year because healthcare providers don’t keep up with the credentialing and licensing practitioners need to work in the U.S.

“It’s not a one-and-done verification,” says Macario. “You need to check on a monthly basis to make sure that providers are compliant.”

Verifiable’s management service can range anywhere from two to ten dollars depending on how deeply a potential employer wants to dive to confirm the standing and licensing of their practitioners. The price is based on the number of verifications and the number of healthcare providers that need to be verified.

And while Verifiable is starting with a specific focus on verification, the company has much bigger vision. “Where we’re excited about going is identity and healthcare provider data. It connects to many different areas of healthcare,” Macario said.

We’re starting in a specific focus with verification.. Where we’re excited about going is identity and healthcare provider data… it connects to many different areas of healthcare.