Saturday, February 29, 2020

Another hour!

It's March 01, 2020 at 01:15PM

Selenium testing, the choice between code vs codeless

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Another hour!

It's March 01, 2020 at 12:15PM

Another hour!

It's March 01, 2020 at 11:15AM

Another hour!

It's March 01, 2020 at 10:15AM

.NET Core 3.0 will reach End of Life on March 3, 2020 | .NET Blog

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Another hour!

It's March 01, 2020 at 09:15AM

How many bytes a boolean value takes in Java?

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Another hour!

It's March 01, 2020 at 08:15AM

A half-hour to learn Rust

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The current first-place Benchmarks Game "Binary Trees" Free Pascal program, rewritten as verbatim as possible in D, C++, and Rust (by me, the person who submitted the winning Pascal program)

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Another hour!

It's March 01, 2020 at 07:15AM

Integration tests > Unit tests

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A JavaScript playground with visualization

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CS Syd - Talk: Writing a text editor in Haskell with Brick @ F(by) 2020

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Another hour!

It's March 01, 2020 at 06:15AM

Salary Stream by Levels.fyi - Verified salary reports emailed weekly

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KDAB News Feb 2020 - Road to Qt6, C++20 finalized, Qt World Summit 2020, KD SOAP 1.9.0 and more

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Friday, February 28, 2020

Another hour!

It's February 29, 2020 at 01:15PM

Curated list of blogs, videos, papers, podcasts on programming and distributed systems.

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A Hitchhikers Guide to Asynchronous Programming

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C# Dictionary Explained

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Another hour!

It's February 29, 2020 at 12:15PM

The RedMonk Programming Language Rankings: January 2020

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Another hour!

It's February 29, 2020 at 11:15AM

Another hour!

It's February 29, 2020 at 10:15AM

Income Share Agreements — How do they work?

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Production Grade Logging in SPRING BOOT

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Another hour!

It's February 29, 2020 at 09:15AM

Dear new developer, please read the documentation

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MS-DOS retro game jam

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Function Overloading in Python

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From crappy to happy - dependency what, now?

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Another hour!

It's February 29, 2020 at 08:15AM

Another hour!

It's February 29, 2020 at 07:15AM

[back to basics] bubble sort

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GDC 2020 has been canceled

Well, after what I’m sure was a hectic few days for the folks planning the Game Developers Conference in San Francisco, the team announced today that they have officially decided to cancel the event happening this March, saying in a blog post that they hoped they would be able to reschedule an event for “later in the summer.”

In recent days, nearly all of the event’s top corporate sponsors announced that they would not be sending employees to the event due to concerns surrounding coronavirus. Microsoft, Unity, Epic, Amazon, Facebook and Sony had all bowed out of the event. GDC’s statement did not reference the virus.

The company behind GDC detailed that they will be refunding conference and expo attendees in full, though a blog post details that the group hopes to host a GDC event later in the summer, noting, “We will be working with our partners to finalize the details and will share more information about our plans in the coming weeks.”

GDC is just the latest tech conference to be shuttered in the wake of worldwide concern surrounding the outbreak of coronavirus. Yesterday, Facebook announced it would be canceling the in-person component of its F8 conference and we have already seen the cancellation of GSMA‘s Mobile World Congress in Barcelona.



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Lyft ramps up self-driving program

A year ago, Lyft submitted a report to the California Department of Motor Vehicles that summed up its 2018 autonomous vehicle testing activity in a single, short paragraph.

“Lyft Inc. did not operate any vehicles in autonomous mode on California public roads during the reporting period,” the letter read. “As such, Lyft Inc. has no autonomous mode disengagements to report.”

The 2019 data tells a different story. Lyft had 19 autonomous vehicles testing on public roads in California in 2019, according to data released earlier this week by the CA DMV. Those 19 vehicles, which operated during the reporting period of December 2018 to November 2019, drove nearly 43,000 miles in autonomous mode.

The report is the latest sign that Lyft is trying to ramp up its self-driving vehicle program known as Level 5. 

The CA DMV, the agency that regulates autonomous vehicle testing on public roads in the state, requires companies to submit an annual report that includes data such as total AV miles driven and number of vehicles. It also requires companies to report “disengagements,” a term that describes each time a self-driving vehicle disengages out of autonomous mode either because its technology failed or a human safety driver took manual control for safety reasons.

That’s still far below established AV developers such as Cruise and Waymo, which accumulated 831,000 and 1.45 million autonomous miles, respectively. And it makes up just a tiny sliver of the total autonomous miles racked up by the 36 companies that tested on public roads in 2019.

The total number of autonomous miles driven in 2019 rose 40%, to more than 2.87 million, thanks largely to a notable uptick in public on-road testing by Baidu, Cruise, Pony.ai, Waymo and Zoox. While the number of companies with testing permits grew to 60 in 2019, the percentage of companies actually testing on public roads fell to about 58%. In 2018, about 62% of the 48 companies that held permits tested on public roads.

Other companies scaled back public testing in California. Some moved public testing outside of California, others retracted due to the high cost. Others said they were opting to place greater emphasis on simulation.

Still, the report shows Lyft is doing more than partnering with autonomous vehicle companies like Aptiv. Lyft and Aptiv launched a robotaxi pilot in January 2018 in Las Vegas. The program, which puts Aptiv vehicles on Lyft’s ride-hailing network, surpassed 100,000 rides this month. Human safety drivers are always behind the wheel and the vehicles do not drive autonomously in parking lots and hotel lobby areas.

Lyft’s Level 5 program — a nod to the SAE automated driving level that means the vehicle handles all driving in all conditions — was launched in July 2017. Today, Level 5 employs more than 400 people in the U.S., Munich and London.

Testing on public roads in California began in November 2018 with a pilot program in Palo Alto that provided rides to Lyft employees in Palo Alto. The pilot provided on-demand rides set on fixed routes, such as traveling between the Lyft office and Caltrain.

Since then, the company has expanded the scope and geography of the pilot. By late 2019, Lyft was driving four times more autonomous miles per quarter than it was six months prior.

Lyft is also testing on a dedicated closed-course track in East Palo Alto that it opened in November 2019. The company told TechCrunch it uses this facility, which can be changed to include intersections, traffic lights and merges, to test software prior to putting its vehicles on public roads.



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Another hour!

It's February 29, 2020 at 06:15AM

Thursday, February 27, 2020

Indian research firm Convergence Catalyst is ready for its second act

A 9-year-old is smashing the shuttle far and wide, and frantically pacing back and forth on the court in Bangalore, India, as her competition refuses to back down. Her rival is not a human. She is playing against a machine that is mimicking the game of badminton legend P.V. Sindhu, toned down a few notches to adjust for the age difference.

By the court, her father, Jayanth Kolla, is watching the game and taking notes. Kolla is a familiar name in the tech startup and business ecosystem in India. For the last eight years, he has been helming the research firm Convergence Catalyst, which covers mobility, telecom, AI and IoT.

When his daughter showed interest in badminton, Kolla rushed to explore options, only to realize that the centuries old sports could use some deep tech.

He reached out to a few friends to explore if they could build a device. “I have always wondered how a younger version of players who have made it to the professional arena must have played like,” he said in an interview.

Months later, they had something better.

Sensate Technologies

Kolla founded Sensate Technologies last year and has hired many industry experts and data scientists from Stanford, MIT, and India’s IIT. Sensate is building solutions on deep technologies such as AI, ML, advanced analytics, IoT, robotics and blockchain.

In the last year, the bootstrapped startup has developed seven prototypes, five of which are for sports. It holds eight patents. Which brings us back to the court.

One of the prototypes that Sensate has built is the machine that Kolla’s daughter is playing against. In a recent interview, he demonstrated how Sensate was able to accurately map how a player moves on the court and goes about smashing the shuttle by just looking at two-dimensional videos on YouTube and mobile camera feed. This has been built using Computer Vision AI.

It then fine tunes the gameplay in accordance with the age difference, which is input into a machine that can now mimic that player to a great level, said Kolla.

A handful of startups and established players have sought to address the sports tech market in recent years. SeeHow, another India-based startup, builds and embeds sensors in bats and balls to track specific types of data that batsmen and bowlers generate.

Kolla’s aim is to turn Sensate Technologies into a global deep tech venture foundry and build 20 odd products that would then branch into multiple companies operating in 11 different industries.

Microsoft last year partnered with Indian cricket legend Anil Kumble’s company Spektacom to work on a number of solutions including a smart sticker for bats that contains sensor tech designed to track the performance.

But Kolla’s ambitions go way beyond sports tech.

“The best part about deep technology solutions and platforms is that you build solutions on these technologies to solve a problem in a particular sector and with very little incremental effort, they can solve problems in a completely different sector,” he said.

Kolla, a former product manager at Motorola and Nokia, among other companies, said the startup is also in discussion with one of the world’s biggest companies that is looking to license its tech for their healthcare stack. “This validates our approach.” He declined to name any potential clients as the talks have not materialized yet.



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Another hour!

It's February 28, 2020 at 01:15PM

How Crash Bandicoot Hacked The Original Playstation | War Stories | Ars Technica

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PG Lessons 001: Install PostgreSQL from source code

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Event-driven Servers: An Intuitive Study

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Error codes are not numbers. But they are. Can we exploit that?

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Another hour!

It's February 28, 2020 at 12:15PM

Resources for coding interviews :)

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AWS partners with Kenya’s Safaricom on cloud and consulting services

Amazon Web Services has entered a partnership with Safaricom — Kenya’s largest telco, ISP and mobile payment provider — in a collaboration that could spell competition between American cloud providers in Africa.

In a statement to TechCrunch, the East African company framed the arrangement as a “strategic agreement” whereby Safaricom will sell AWS services (primarily cloud) to its East Africa customer network.

Safaricom — whose products include the famed M-Pesa mobile money product — will also become the first Advanced Consulting Partner for the AWS partner network in East Africa.

“The APN is…the program for technology…businesses who leverage AWS to build solutions and services for customers…and sell their AWS offerings by providing valuable business, technical, and marketing support,” Safaricom said.

“We chose to partner with AWS because it offers customers the broadest and deepest cloud platform…This agreement will allow us to accelerate our efforts to enable digital transformation in Kenya,” said Safaricom CEO Michael Joseph.

“Safaricom will be able to offer AWS services to East-African customers, allowing businesses of all sizes to quickly get started on AWS cloud,” the company statement continued.

For now, the information provided by Safaricom is a bit sparse on the why and how of the partnership between the American company and East African mobile, financial and ISP provider.

TechCrunch has an inquiry into Amazon and some additional questions posed to Safaricom, toward additional coverage.

An initial what-this-all-means take on the partnership points to an emerging competition between American cloud service providers to scale in Africa by leveraging networks of local partners.

The most obvious rival to the AWS-Safaricom strategic agreement is the Microsoft-Liquid Telecom collaboration. Since 2017, MS has partnered with the Southern African digital infrastructure company to grow Microsoft’s AWS competitor product — Azure — and offer cloud services to the continent’s startups and established businesses.

MS and Liquid Telecom have focused heavily on the continent’s young tech companies. “We believe startups will be key employers in Africa’s future economy. They’re also our future customers,” Liquid Telecom’s  Head of Innovation Partnerships Oswald Jumira told TechCrunch in 2018.

Amazon hasn’t gone fully live yet with e-commerce services in Africa, but it has aggressively positioned AWS and built a regional client list that includes startups — such as fintech venture Jumo — and large organizations, such Absa and Standard Bank.

Partnering with Safaricom plugs AWS into the network of one East Africa’s most prominent digital companies.

Safaricom, led primarily by its M-Pesa mobile money product, holds remarkable dominance in Kenya, Africa’s 6th largest economy. M-Pesa has 20.5 million customers across a network of 176,000 agents and generates around one-fourth ($531 million) of Safaricom’s ≈ $2.2 billion annual revenues (2018).

Compared to other players — such as Airtel  Money and Equitel Money — M-Pesa has 80% of Kenya’s mobile money agent network, 82% of the country’s active mobile-money subscribers and transfers 80% of Kenya’s mobile-money transactions, per the latest sector statistics.

A number of Safaricom’s clients (including those it provides payments and internet services to) are companies, SMEs and startups.

Extending AWS services to them will play out next to the building of Microsoft’s $100 million Africa Development Center, with an office in Nairobi, announced last year.



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Another hour!

It's February 28, 2020 at 11:15AM

Another hour!

It's February 28, 2020 at 10:15AM

I made a random program to add spaces to text for e x t r a s t y l e, some feedback would be appreciated

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2038 Problem, how are you guys fixing it?

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Pytorch tutorial for beginners

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Another hour!

It's February 28, 2020 at 09:15AM

Another hour!

It's February 28, 2020 at 08:15AM

Another hour!

It's February 28, 2020 at 07:15AM

Presentation patterns for programmers [podcast]

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Clearview said its facial recognition app was only for law enforcement as it courted private companies

After claiming that it would only sell its controversial facial recognition software to law enforcement agencies, a new report suggests that Clearview AI is less than discerning about its client base. According to BuzzFeed News, the small, secretive company looks to have shopped its technology far and wide. While Clearview counts ICE, the U.S. Attorney’s Office for the Southern District of New York and the retail giant Macy’s among its paying customers, many more private companies are testing the technology through 30-day free trials. Non-law enforcement entities that appeared on Clearview’s client list include Walmart, Eventbrite, the NBA, Coinbase, Equinox and many others.

According to the report, even if a company or organization has no formal relationship with Clearview, its individual employees might be testing the software. “In some cases… officials at a number of those places initially had no idea their employees were using the software or denied ever trying the facial recognition tool,” BuzzFeed News reports.

In one example, the NYPD denied a relationship with Clearview, even as as many as 30 officers within the department conducted 11,000 searches through the software, according to internal logs.

A week ago, Clearview’s CEO Hoan Ton-That was quoted on Fox Business stating that his company’s technology is “strictly for law enforcement” — a claim the company’s budding client list appears to contradict.

“This list, if confirmed, is a privacy, security, and civil liberties nightmare,” ACLU staff attorney Nathan Freed Wessler said of the revelations. “Government agents should not be running our faces against a shadily assembled database of billions of our photos in secret and with no safeguards against abuse.”

On top of its reputation as an invasive technology, critics argue that facial recognition tech isn’t accurate enough to be used in the high-consequence settings it’s often touted for. Facial recognition software has notoriously struggled to accurately identify non-white, non-male faces, a phenomenon that undergirds arguments that biased data has the potential to create devastating real-world consequences.

Little is known about the technology that powers Clearview’s own algorithms and accuracy beyond that the company scrapes public images from many online sources, aggregates that data and allows users to search it for matches. In light of Clearview’s reliance on photos from social networks, Facebook, YouTube and Twitter have all issued the company cease-and-desist letters for violating their terms of use.

Clearview’s small pool of early investors includes the private equity firm Kirenaga Partners and famed investor and influential tech conservative Peter Thiel. Thiel, who sits on the board of Facebook, also co-founded Palantir, a data analytics company that’s become a favorite of law enforcement.



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Another hour!

It's February 28, 2020 at 06:15AM

Will VBA Die?

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Latin America roundup: Softbank adds $1B, Stori raises $10M and Grow Mobility puts on the brakes

After investing nearly $2 billion of its Innovation Fund in Latin America in 2019, Softbank announced this month that it would add an additional $1 billion into the fund to continue supporting tech startups across the region. While the Japanese investor faces the challenge of raising a second global fund after its Vision Fund, Softbank is still investing heavily in Latin America. 

One of its early Latin American investments – and the first in Colombia – Ayenda Rooms, is performing particularly well, raising $8.7 million from Kaszek Ventures this month. Ayenda is the local version of Oyo Rooms, one of Softbank’s biggest bets in India, which has looked to expand into Mexico despite a financial crunch last month. In fact, the fund recently came under scrutiny by the Wall Street Journal for funding similar delivery competitors Uber, Rappi, and Didi, suggesting a conflict of interest. 

Most recently, Softbank invested $125 million in Mexico’s lender, Alphacredit, and they reportedly plan to continue investing in that niche. The firm currently oversees over 650 companies in Latin America, largely concentrated in Brazil, Argentina, Chile, Colombia, and Mexico, and plans to invest $100-150M in seventeen firms and two VCs by the end of the year. To date, over 50% of Softbank’s investments have been into Brazil, most of which exist in the fintech sector. 

Mexican neobank Stori raises $10 million Series A

In a self-fulfilling prophecy, Mexico’s neobank market became all the more competitive this month with the addition of a new player: Stori. Within the past few months, both TechCrunch and Business Insider pointed to Mexico’s neobank market as the one to watch in Latin America as startups like Albo, Klar, and Nubank battle for market share. In February, digital bank Stori joined the conversation with a $10 million Series A from Bertelsmann Investments (BI) and Source Code Capital, along with an existing investor, Vision Plus Capital.

This round of funding, led by Chinese investors, is part of a growing trend of foreign funds waking up to the Latin American startup ecosystem, Asian VCs in particular. Tencent has invested in Brazil’s Nubank, which has since expanded to Mexico, and in Argentina’s Uala, which is considering a similar move. Softbank has investments in the largest lending and credit startups in Brazil and Mexico, as well. 

Stori will use the investment to improve its AI technology as it tries to reach over 100,000 Mexicans through its inclusive digital banking services. The neobank has raised over $17 million from investors since it was founded in 2018.

Grow Mobility pulls out of 14 cities

In January, Rappi and Lime pulled back their operations in Latin America in order to focus on technology over rapid growth. Brazil’s top mobility startup, Grow Mobility (which rose out of a merger between e-scooter companies Grin from Mexico and Yellow from Brazil) also pulled back. The startup, which provides e-scooters and bikes shares across Brazil, took bicycles out of operation and removed its scooters from 14 cities. 

Grow also restructured its operations through layoffs that affected employees across Brazil, although they did not comment on how many people were affected. Grow Mobility’s scooters will now only operate in Rio de Janeiro, Sao Paulo, and Curitiba. 

This pattern of pull-back following explosive growth has become more common among Latin America’s biggest startups, pushing these early stage companies to focus on technological solutions that boost revenue, rather than blitzscaling measures that only buy market share.

Amazon Web Services doubles down on Brazil

Amazon Web Services (AWS) announced it would invest $236 million (R$1 billion) into Sao Paulo over the next two years to strengthen its Latin American infrastructure. This effort may be a part of Amazon’s work to consolidate market share in Latin America’s increasingly competitive e-commerce market, where legacy players like MercadoLibre still dominate. This investment will enable Amazon to expand its Brazilian data centers and improve local service offerings to both private and public partners. 

Amazon also announced that it would build a new distribution center in Pernambuco in the north of Brazil to support sales across the country. Brazil accounts for almost 40% of Latin America’s e-commerce market, making the country vital to Amazon’s positioning in the region.

News and Notes: Weel, Global 66, Yuca, and Memed 

Weel, a Brazilian accounts-receivable management platform, announced an $18.4 million investment from Banco Votorantim, Brazil’s seventh-largest bank, in February 2020. This investment was Banco Votorantim’s second in the startup after a $6 million contribution in 2019. Weel will use the investment to explore expansion across Brazil, as well as exploring Chilean and Mexican markets. 

Chilean international transfer startup Global 66 received $3.25 million in February from UK investor Venrex, to continue its expansion across the region. The startup currently offers rates up to eight times better than existing transfer services, especially for the Latin American region. Global 66 recently opened new offices in Peru and plans to expand to Colombia, Argentina, and Mexico within the next two years. Within just two years of operations, Global 66 has processed transactions for over 25,000 users across 60 cities worldwide.

Yuca, a Brazilian proptech, raised $4.7 million from Monashees, ONEVC, and Creditas to help fight housing crises in Brazil’s largest cities. As Brazil’s cities sprawl – Sao Paulo is one of the largest in the world – Yuca creates central co-living spaces for young people that want to shorten their commutes. Inspired by Chinese startup, Ziroom, Yuca currently manages 18 apartments for 80 students and plans to scale to 500 apartments by the end of the year.

Brazil’s digital prescription startup, Memed, recently raised $4.5 million from DNA Capital and Redpoint eVentures to improve the local prescription system for doctors and patients alike. Today, Memed has over 80,000 registered doctors who have created over 10 million prescriptions worth more than $237 million. Memed’s 100% digital prescriptions are said to improve security and efficiency in Brazil’s complex, bureaucratic healthcare system.

While Brazil is still at the forefront of Latin America’s tech ecosystem, Mexican fintechs are edging up, especially with additional support from international investors. 2020 is off to a strong start, hinting at another potential record-breaking year for Latin American tech investment.



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SeeHow helps cricketers train smarter

Like baseball, cricket relies on grass, dirt, wood, cork, spit, spin, drop and rise en route to either victory or loss. And like baseball — and just about any other sport, really — cricket coaching staffs and their players worldwide are looking for more ways to track every move.

Tracking statistics is nothing new. With each action, a player produces a stat that can be used to track improvement or struggle over a given period of time. But as players get stronger and stakes — financial and otherwise — get higher, a need for more specific data is proving necessary.

India-based SeeHow transforms sports equipment into sensors to do just that, and it does so without having to alter anything on the athlete’s body. Its sensors are baked into cricket balls and bat handles to track very specific types of data that batsmen and bowlers generate. And tracking the behavior of a bowled ball and where and how it lands on a bat all play a role in the story of cricket.

“Putting the sensor inside the ball or bat handle where the action is happening is when you can capture data fundamentally at a higher accuracy,” says Dev Chandan Behera, founder and CEO of SeeHow. “Most MEMS [micro-electro-mechanical systems] can measure up to 2,000 degrees per second, i.e about 300+ RPMs. International spinners like Shane Warne can spin the ball up to 3,000 RPMs. This is something we are able to capture.”

To obtain data, a trainer first assigns a bowler and/or a batsman in the accompanying Android app before a session. (Behera says an iOS app is due this year.) During play, each action is captured in near real time for each corresponding player.

For bowlers, the sensor tracks speed, spin, seam position or orientation, and length — where the ball lands on the pitch. For batsmen, the sensor tracks swing speed and angle, where it hits on the bat, what kind of deliveries they played, what their responses were to a particular delivery and the velocity of the ball off the bat.

This data is then streamed in real time and can be read by players and coaches alike on the app. The app retains a history of a player’s progress in order to make any necessary adjustments and to track improvements.

“In bat on ball sport or racquetball sport, you’re doing something in response to the pitcher or your opponent, and that’s something we’re able to capture into a single system,” Behera says. Because both the data from the batter and the bowler are streaming to a single system, he adds, the app is able to tell users what the reaction time is.

Behera grew up playing cricket with the intention of improving enough to ensure his rise through the ranks.

“Growing up we would use chalk, cones or a sheet of A4 paper as markers during play to assess how we bowled,” Behera says of his early years. “A coach would use a slate to mark the number of balls bowled and selection would be based on whether you had his attention in that particular window when he happened to look at you playing. You might just have a bad day and not get selected to the next level.”

After moving to Singapore, Behera continued competing in the sport, and says he was exposed to more tools and more methodical training approaches.

“We used to record videos through mobile phone cameras and compare them to videos on YouTube or show it to our seniors or coaches for tips,” he says. “However, the process was very ad hoc, and without any data and science to it, it was subjective. We never improved and made it as cricketers.”

His experience building robots, combined with his cricket playing, prompted him to consider using a ball as a way to glean data to help improve cricketers’ performances.

“It occurred to me that we could address this issue by bringing in a new perspective to the ball itself. The experience of building such complex hardware helped me gauge the challenges we needed to build a sports operating system that will enable sensors in the field of play to provide this holistic learning experience in cricket.”

Behera says SeeHow’s sensors are being used at 12 cricket academies in nine countries. First-class cricketer Abhishek Bhat is a fast bowler whose speed topped at 120km. He writes that after two weeks, he was able to push his pace into the mid 130s:

However, it wasn’t until SeeHow came into the picture that I was able to get a consistent measurement of my bowling speed, session after session and day after day. I cannot overstate the impact bowling with the smart ball has had on my bowling speed.

I had my first bowling session with the smart ball in early November and I was bowling in the mid-120s, barely getting above 130kmph. Then with some technical adjustments in a couple of weeks time, I was consistently bowling close to the 130 kmph mark. It was then that I realized that bowling fast is more than just about technique, it’s about the mindset.

SeeHow isn’t the only company trying to improve the way cricketers train.

A company called StanceBeam has developed a system that, among other things, provides session insights, the power generated from a swing, angles and directions of a swing and a 3D analysis of a batsman’s swing. It does so through a hardware extension that players attach to the ends of their bats and that relays data via an app.

Microsoft is also in the game of cricket analysis. The company partnered with star India cricketer Anil Kumble and his company Spektacom to enhance the reach of its sensor, which is designed to help better engage fans and broadcasters through the use of embedded sensors, artificial intelligence, video modeling and augmented reality. The company’s first offering is a smart sticker for bats that contains sensor tech designed to track batting behavior that is readable via an app.

As cricket starts to find an audience beyond the Commonwealth countries and continues to draw big dollars, look for tech to play a bigger role in attracting and maintaining audiences and players.

For SeeHow, cricket is just the beginning.

“Baseball is a very natural extension to cricket if you look at how the sport is played and the equipment,” Behera says. “And we have also done mixed martial arts with sensors in the gloves.”

The company has filed for five patents, one of which, Behera says, is around the construction of the ball, specifically in order to be able to hold the vibrations.

“We have mounted the sensor in the sports equipment at the core and introduced a protective material to cushion the sensor from impact and vibration,” he says. “The patent captures the construction of the ball that mounts the sensor and introduces the protective material in a novel manner to be able to capture the motion data at the core.”

As it scales, SeeHow will look to license the hardware to equipment manufacturers and become a platform company. SeeHow is funded through a friends and family round and is currently in search of seed funding.



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