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India’s WareIQ raises $1.65M for its Amazon-like delivery platform for sellers
Despite e-commerce firms Amazon and Walmart and others pouring billions of dollars into India, offline retail still commands more than 95% of all sales in the world’s second largest internet market.
The giants have acknowledged the strong hold neighborhood stores (mom and pop shops) have in the country, and in recent quarters scrambled for ways to work with them. Mukesh Ambani, India’s richest man, has made the dynamics more interesting in the past year as he works to help these neighborhood stores sell online.
But the market opportunity is still too large, and there are many aspects of the old retail business that could use some tech. That’s the bet WareIQ, a Bangalore-headquartered, Y Combinator-backed startup is making. And it has just raised a $1.65 million seed financing round from YC, FundersClub, Pioneer Fund, Soma Capital, Emles Venture Advisors and founders of Flexport.
The one-year-old startup operates a platform to leverage the warehouses across the country. It has built a management system for these warehouses, most of which largely engage in offline business-to-business commerce and have had little to no prior e-commerce exposure.
“We connect these warehouses across India to our platform and utilize their infrastructure for e-commerce order processing,” said Harsh Vaidya, co-founder and chief executive of WareIQ, in an interview with TechCrunch. The company offers this as a service to retail businesses.
Who are these businesses? Third-party sellers (some of whom sell to Amazon and Flipkart and use WareIQ to speed up their delivery), e-commerce firms, social commerce platforms, as well as neighborhood stores and social media influencers.
Any online store, for instance, can send its products to WareIQ, which has integrations with several popular e-commerce platforms and marketplaces. It works with courier partners to move items from one warehouse to another to offer the fastest delivery, explained Vaidya.
The infrastructure stitched together by WareIQ also enables an online seller to set up their own store and engage with customers directly, thereby saving fees they would have paid to Amazon and other established e-commerce players.
“The sellers were not able do this on their own before because it required them to talk directly to warehousing companies that maintain their own rigid contracts, and high-security deposits, and they still needed to work with multiple technology providers to complete the tech-stack,” he said. WareIQ also offers these sellers last-mile delivery, cash collection and fraud detection among several other services.
“In a way, we are building an open-source Amazon fulfilment service, where any seller can send their goods to any of our warehouses and we fulfil their Amazon orders, Myntra orders, Flipkart orders or their own website orders. We also comply with the standard of these individual marketplaces, so our sellers get a Prime tag on Amazon,” he said.
WareIQ is free for anyone to sign up with any charge and it takes a cut by the volume of orders it processes. The startup today works with more than 40 fulfilment centres and plans to deploy the fresh capital to expand its network to tier 2 and tier 3 cities, he said. It’s also hiring for a number of tech roles.
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Donut launches Watercooler, an easy way to socialize online with co-workers
If you miss hanging out with your co-workers but don’t want to spend a single second more on Zoom, the latest product from Donut might be the answer.
The startup is launching its new Watercooler product today while also announcing that it has raised $12 million in total funding, led by Accel and with participation from Bloomberg Beta, FirstMark, Slack Fund and various angel investors.
Co-founder and CEO Dan Manian told me that this is actually money that the startup raised before the pandemic, across multiple rounds. It just didn’t announce the fundraising until now.
The startup’s vision, Manian said, is “to create human connection between people at work.” Its first product, Intros, connects via Slack teammates who didn’t already know each other, often with the goal of setting up quick coffee meetings (originally in-person and now virtual).
Donut says it has facilitated 4 million connections across 12,000 companies (including The New York Times, Toyota and InVision), with 1 million of those connections made since the beginning of the pandemic.
However, Manian said customers have been asking Donut to facilitate more frequent interactions, especially since most people aren’t going to have these coffee meetings every day. At the same time, people face the dueling issues of isolation and Zoom fatigue, where “the antidote to one thing makes the other pain worse.” And he suggested that one of the hardest things to recreate while so many of us are working remotely are “all the little microinteractions that you have while you’re working.”
That’s where Watercooler comes in — as the name suggests, it’s designed to replicate the feeling of hanging out at the office watercooler, having brief, low-key conversations. Like Intros, it integrates with Slack, creating a new channel where Watercooler will post fun, conversation-starting questions like “‘What’s your favorite form of potato?” or “What’s one thing you’ve learned in your career that you wish you knew sooner?”
Talking about these topics shouldn’t take much time, but Manian argued that brief conversations are important: “Those things add up to friendship over time, they’re what actually transform you from co-worker to friend.” And those friendships are important for employers too, because they help with team cohesion and retention.
I fully endorse the idea of a Slack watercooler — in fact, the TechCrunch editorial team has a very active “watercooler” channel and I’m always happy to waste time there. My big question was: Why do companies need to purchase a product for this?
Donut Watercooler. Image Credits: Donut
Manian said that there were “a bunch of our early adopters” who had tried doing this manually, but it was always in the “past tense”: “It got too hard to come up with the questions, or it took real work coming up with them, whoever was doing it already had a it full time job.”
With Watercooler, on the other hand, the company can choose from pre-selected topics and questions, set the frequency with which those questions are posted and then everything happens automatically.
Manian also noted that different organizations will focus on different types of questions. There are no divisive political questions included, but while some teams will stick to easy questions about things like potatoes and breakfast foods, others will get into more substantive topics like the ways that people prefer to receive feedback.
And yes, Manian thinks companies will still need these tools after the pandemic is over.
“Work has fundamentally changed,” he said. “I don’t think we’ll put remote work back in the bottle. I think it’s here to stay.”
At the same time, he described the past few months as “training wheels” for a hybrid model, where some team members go back to the office while others continue working remotely. In his view, teams will face an even bigger challenge then: To keep their remote members feeling like they’re connected and in-the-loop.
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Redpoint and Sequoia are backing a startup to copyedit your shit code
Code is the lifeblood of the modern world, yet the tooling for some programming environments can be remarkably spartan. While developers have long had access to graphical programming environments (IDEs) and performance profilers and debuggers, advanced products to analyze and improve lines of code have been harder to find.
These days, the most typical tool in the kit is a linter, which scans through code pointing out flaws that might cause issues. For instance, there might be too many spaces on a line, or a particular line might have a well-known ambiguity that could cause bugs that are hard to diagnose and would best be avoided.
What if we could expand the power of linters to do a lot more though? What if programmers had an assistant that could analyze their code and actively point out new security issues, erroneous code, style problems and bad logic?
Static code analysis is a whole interesting branch of computer science, and some of those ideas have trickled into the real-world with tools like semgrep, which was developed at Facebook to add more robust code-checking tools to its developer workflow. Semgrep is an open-source project, and it’s being commercialized through r2c, a startup that wants to bring the power of this tool to the developer masses.
The whole project has found enough traction among developers that Satish Dharmaraj at Redpoint and Jim Goetz at Sequoia teamed up to pour $13 million into the company for its Series A round, and also backed the company in an earlier, unannounced seed round.
The company was founded by three MIT grads — CEO Isaac Evans and Drew Dennison were roommates in college, and they joined up with head of product Luke O’Malley. Across their various experiences, they have worked at Palantir, the intelligence community, and Fortune 500 companies, and when Evans and Dennison were EIRs at Redpoint, they explored ideas based on what they had seen in their wide-ranging coding experiences.
The r2c team, which I assume only writes bug-free code. Image by r2c.
“Facebook, Apple, and Amazon are so far ahead when it comes to what they do at the code level to bake security [into their products compared to] other companies, it’s really not even funny,” Evans explained. The big tech companies have massively scaled their coding infrastructure to ensure uniform coding standards, but few others have access to the talent or technology to be on an equal playing field. Through r2c and semgrep, the founders want to close the gap.
With r2c’s technology, developers can scan their codebases on-demand or enforce a regular code check through their continuous integration platform. The company provides its own template rulesets (“rule packs”) to check for issues like security holes, complicated errors and other potential bugs, and developers and companies can add their own custom rulesets to enforce their own standards. Currently, r2c supports eight programming languages, including JavaScript and Python, and a variety of frameworks, and it is actively working on more compatibility.
One unique focus for r2c has been getting developers onboard with the model. The core technology remains open-sourced. Evans said that “if you actually want something that’s going to get broad developer adoption, it has to be predominantly open source so that developers can actually mess with it and hack on it and see whether or not it’s valuable without having to worry about some kind of super restrictive license.”
Beyond its model, the key has been getting developers to actually use the tool. No one likes bugs, and no developer wants to find more bugs that they have to fix. With semgrep and r2c though, developers can get much more immediate and comprehensive feedback — helping them fix tricky errors before they move on and forget the context of what they were engineering.
“I think one of the coolest things for us is that none of the existing tools in the space have ever been adopted by developers, but for us, it’s about 50/50 developer teams who are getting excited about it versus security teams getting excited about it,” Evans said. Developers hate finding more bugs, but they also hate writing them in the first place. Evans notes that the company’s key metric is the number of bugs found that are actually fixed by developers, indicating that they are offering “good, actionable results” through the product. One area that r2c has explored is actively patching obvious bugs, saving developers time.
Breaches, errors and downtime are a bedrock of software, but it doesn’t have to be that way. With more than a dozen employees and a hefty pool of capital, r2c hopes to improve the reliability of all the experiences we enjoy — and save developers time in the process.
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Dear Sophie: Any upgrade options for E-2 visa holders interested in changing jobs?
Sophie Alcorn is the founder of Alcorn Immigration Law in Silicon Valley and 2019 Global Law Experts Awards’ “Law Firm of the Year in California for Entrepreneur Immigration Services.” She connects people with the businesses and opportunities that expand their lives.
Here’s another edition of “Dear Sophie,” the advice column from a practicing attorney that answers immigration questions about working at technology companies.
“Your questions are vital to the spread of knowledge that allows people all over the world to rise above borders and pursue their dreams,” says Sophie Alcorn, a Silicon Valley immigration attorney. “Whether you’re in people ops, a founder or seeking a job in Silicon Valley, I would love to answer your questions in my next column.”
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Dear Sophie:
I’m currently here in the U.S. on an E-2 visa.
My employer, a company based in Slovakia, moved me to the U.S. to help establish our U.S. operations. What are my options if I want to look for other job opportunities here in the U.S. with a different company? Is there a feasible process to upgrade my E-2 visa to another type, like an L? Thank you!
—Restless in Redwood City
Dear Restless,
Thanks for your questions. Nonimmigrant (temporary) visas that allow you to work in the U.S. require an employer to sponsor you for the visa, and those visas remain tied to the employer sponsor and the position for which you were hired. We recently launched the Extraordinary Ability Bootcamp (promo code DEARSOPHIE for 20% off enrollment) — this is a class that can help you strengthen your credentials if you end up pursuing an O-1A visa, which I’ll discuss more about below.
There are a few visa options available if you find a U.S. company willing to sponsor you such as J-1, O-1A and H-1B, and various green card pathways. You had asked about an L Visa, but this would only be an option if you had worked for the new company abroad for at least one year during the past three years. Both the L-1A visa and the L-1B visa enable multinational companies to transfer a manager, executive or specialized knowledge employee from an office abroad to a U.S. office — or to open an office in the U.S. — from an office abroad. The L-1A visa for intracompany executive or manager transferees is similar to the E-2 visa in that both allow the visa holder to come to the U.S. to set up a new office for the sponsoring company.
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App management startup AppFollow raises $5M Series A round led by Nauta Capital
AppFollow, an app management startup, has raised a $5 million Series A round led by Barcelona’s Nauta Capital, alongside existing investors Vendep Capital and RTP Global participating.
The Helsinki-headquartered company says it benefitted during the pandemic and even in April 2020 as the desire for automation and apps exploded. It says it now has 70,000 clients on its platform globally, including McDonald’s, Disney, Expedia, PicsArt, Flo, Jam City and Discord.
CEO Anatoly Sharifulin said in a statement: “AppFollow helps teams understand sentiment, both for your users and competitor’s, figure out how your potential customers search for apps and use this knowledge to make your app more visible and, of course, follow on your KPIs like downloads and revenues to be sure that all is under control.”
Eugene Kruglov of Nauta Capital said: “We are extremely delighted to partner with Nauta Capital on this round. And having both of current investors and as well some of our customers to participate in the round proves that we are on the right direction to become the market standard for effective app management.”
The company, which employs 65 people across nine countries, all working remotely, will use the investment to strengthen its presence in the U.S. and Europe, hire VP-level executives in sales and marketing, and diversify their platform.
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Outrider raises $65 million to bring its autonomous tech to distribution yards
Outrider, a startup aiming to bring its autonomous technology to the nerve center of the supply chain, has raised $65 million in funding just eight months after coming out of stealth. The Series B round was led by Koch Disruptive Technologies and brings its total funding raised to $118 million.
Other existing investors increased their investments, including NEA, 8VC and Prologis Ventures, according to the company. New investors included Henry Crown and Company and Evolv Ventures.
The company’s aim to automate distribution yards doesn’t get the same kind of attention as the more public-facing robotaxis that other companies are pursuing. But it could be as impactful and potentially lucrative to the company that pulls it off. Distribution yards are where goods make the transition from long-haul trucks to warehouses, and eventually the consumer. These hubs of economic activity rely on humans to make repetitive, manual tasks using diesel-powered yard trucks. There are some 400,000 distribution yards located in the United States, a number that provides an idea of the potential size of the opportunity.
Image Credits: Outrider
The Golden, Colorado startup previously known as Azevtec developed a three-part system that includes an autonomous electric yard truck, software to manage the operations and site infrastructure. The total system automates the manual aspect of yard operations, including moving trailers around the yard as well as to and from loading docks. The system can also hitch and unhitch trailers, connect and disconnect trailer brake lines and monitor trailer locations.
Outrider touts the dual benefits of its electric and autonomous system. The company notes that its electric yard trucks are ideal for autonomy due to their reduced maintenance, lower operating costs and reliable clean power. Andrew Smith, the company’s founder and CEO, says disruptions caused by COVID-19 has highlighted the need for this kind of automated distribution yard technology.
Outrider, which now employs 110 employees, has completed “multiple” pilot programs, including one with Georgia-Pacific, and expanded its customer base since coming out of stealth in February.
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Robust.AI raises a $15M Series A to improve problem solving for collaborative robots
Robust.AI today announced that it has raised a $15 million Series A, led by Jazz Venture Partners. Existing partners Playground Global, Liquid2, Fontinalis, Jaan Tallinn and Mark Leslie also participated in the round, which brings the Bay Area-based robotics AI startup’s funding up to $22.5 million.
Founded mid-2019, the company counts Rodney Brooks among its C-level executives. The iRobot co-founder serves as the startup’s CTO, following the unexpected closure of the promising (but financially untenable) Rethink, which gave the world the Baxter and Sawyer robots. (Fellow iRobot co-founder Helen Greiner also notably landed at a new venture in recent months). CEO Gary Marcus, meanwhile, is also the co-founder of Geometric Intelligence, which was acquired by Uber, back in 2016.
At the core of Robust.AI are plans to build “the world’s first industrial-grade cognitive engine for robots,” essentially providing collaborative robots sufficient problem-solving capacity to effectively work alongside humans.
The company is still quite new, but many robotics and automation investments have seemingly been fast-tracked by a pandemic that has hamstrung much of the human workforce. Robust’s stated mission is to overhaul the software stack that runs many of these machines, in order to to make them function better in often complex environments.
“Finding market fit is as important in robots and AI systems as any other product,” Brooks said in a statement. “We are building something we believe most robotics companies will find irresistible, taking solutions from single-purpose tools that today function in defined environments, to highly useful systems that can work within our world and all its intricacies.”
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Hebbia wants to make Ctrl-F (or Command-F) actually useful through better AI
Deep learning has made tremendous strides in recent years, with new systems and models like GPT-3 offering higher-quality interpretations of human language, empowering developers to use these concepts in more diverse applications. We can see these developments in our text-to-speech voice recorders and dual language translation apps, which have gotten shockingly good these days.
But what is the next wave of functionality that this AI infrastructure can empower? Hebbia wants to find out.
Hebbia today is a startup but really a product studio, a sort of sketchpad for AI ideas founded by George Sivulka (a PhD student from Stanford currently on leave) and a mélange of three other Stanford AI researchers and engineers. The group, using the new deep learning techniques and models available today, is trying to push the boundaries of what knowledge graphs, semantic analysis and AI can ultimately do for human productivity.
Sivulka was inspired to focus on this domain from witnessing his friends’ experiences working in the knowledge economy. “A lot of my peers … everyone goes into these white-collar jobs where they’re sitting down and just reading immense quantities of information all day,” Sivulka said. “People become banking analysts and dig through SEC forms for one or two lines of information, or go to law school or become legal analysts and do the same thing… [They’re] just bogged down by these walls of text, by this like avalanche of information that is impossible to make sense of.”
(Tell me about it).
What he and his team want to do is supercharge human productivity by building search, analysis and summarization tools that can help you make sense of your own, personal universe of knowledge. “The idea is that Hebbia is building these productivity tools for thought that augment the way you do work. They’re things that actually control the information input and outputs that you have to deal with every day,” Sivulka said.
It’s an ambitious vision, so they had to start somewhere. Their first product, which is what got me excited about the vision, is a Chrome plugin that’s been in private beta and is being released to the world more broadly today (note: it’s still unlisted in the Chrome Store for now). The plugin upgrades the search functionality in Chrome to go beyond mere text pattern matching to begin to comprehend what your query actually is and how it might be answered given the text on a page. Here’s a demo of the plugin on TechCrunch:
Hebbia’s Ctrl-F product on TechCrunch. Image via Hebbia.
So, for instance, you could Ctrl-F on a Wikipedia page and ask “Where did this person live?” and the plugin can determine that you are asking for locations and begin to highlight text on that page with relevant information. It’s AI, and pretty beta AI at that, so of course, your experience can and will be inconsistent right now. But as Hebbia tunes its models and improves its understanding of text, the hope is that browser search can be completely transformed and become a massive productivity boost.
Sivulka is something of an early wunderkind. He worked at NASA as a teenager, and graduated from his bachelor’s at Stanford in 2.5 years, finishing his master’s a bit more than a year later, and started a PhD before getting waylaid by Hebbia.
Hebbia’s vision has already attracted the notice of VCs in just its early months. Ann Miura-Ko at Floodgate led a $1.1 million pre-seed round that was joined by Naval Ravikant, Peter Thiel, Kevin Hartz, Michael Fertik and Cory Levy.
Sivulka notes that their Ctrl-F product is the main focus for the company right now, and acts as a sort of gateway into the larger potential that knowledge graphs and personal productivity offer. “This is one of the final frontiers of what computers can do,” Sivulka said, noting that computation has already revolutionized many fields by digitizing data and making it easier to process. With Ctrl-F, “this is a baseline technology, [we’re] just scratching the surface of what we can do with this.”
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As venture capital rebounds, what’s going on with venture debt?
The American venture capital world has staged an impressive comeback from the early months of the COVID-19 pandemic. For a moment, there was worry that startups would struggle to raise for quarters, leading to layoffs, slowed hiring and budget cuts.
But as the pandemic accelerated plans to shift operations online, many startups wound up more popular than expected. Those tailwinds helped the venture capital world get back into its own game in a big way, leading to Q3 being an outsized quarter for domestic venture capital activity.
The Exchange explores startups, markets and money. Read it every morning on Extra Crunch, or get The Exchange newsletter every Saturday.
Today, in a first, we have two editions of The Exchange for you. Get hype.
As The Exchange reported last week, “How much money was raised by U.S.-based startups in Q3 2020? $36.5 billion, according to CBInsights, $37.8 billion according to PitchBook. [The former data provider] calls the number a seven-quarter high, up 22% from the Q3 2019 number and 30% from the Q2 2020 result.”
This lends itself to a question: What’s up with venture debt during all of this?
Venture debt, in various forms, is a type of capital provided to startups that may or may not have raised equity-based funds, like venture capital. One variety comes from institutions like Silicon Valley Bank, which might provide a growing startup with well-known backers an additional fraction of its last raise in debt, allowing the young company to take on more total capital than it otherwise might without greater dilution.
Other forms of venture debt, like revenue-based financing, share startup income streams to repay borrowings. And there are other, more exotic forms of the capital source.
I’ve been curious about the space for a few quarters now. So, when some survey data on the venture debt market from Runway Growth Capital came in, I started collecting my notes into a single entry.
Venture debt has a place in today’s market, but while venture capital is back to setting records, it appears that its less-known sibling won’t manage to match its last few years’ worth of results, according to new PitchBook data. Let’s talk about it.
Venture debt in 2020
Runway Growth is a venture debt player that did $41.5 million in “funded loans” in Q3 2020, it told TechCrunch. That’s for your own reference. Its new survey of 493 entrepreneurs who had raised venture capital and 50 providers of startup capital from the VC and lending worlds noted that 60% of founders felt that “venture debt has become more founder-friendly,” which you might think would imply that more venture debt was being used, overall.
That was my read, at least.
From the same survey, two related data points explain why venture debt has a place in the market: 86% of providers felt that “venture debt was key to extend the company’s runway to reach an important milestone,” while just over a quarter of founders agreed. Regardless of who is right on that point, venture debt has seen impressive growth in recent years.
Via PitchBook, here are updated venture debt metrics for the United States through 2019:
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Pulumi raises $37.5M Series B for its cloud engineering platform
Seattle-based Pulumi, one of the newer startups in the ”infrastructure-as-code” space, today announced that it has raised a $37.5 million Series B funding round led by NEA. Previous investors Madrona Venture Group and Tola Capital also participated in this round, which brings the total investment in the company to $57.5 million.
The new investment follows the launch of Pulumi 2.0, which got the company closer to its vision of becoming what the team calls a “cloud engineering platform” and impressive growth over the last year, with a 10x growth in adoption in the last 12 months.
“We started with infrastructure as code, because we felt like that was a foundational piece that gave us the programming model, along with the cloud resource model,” Pulumi co-founder and CEO Joe Duffy told me. “That was an important place to start. With [Pulumi] 2.0, we launched support for testing, for policy as code — so that you could actually apply governance and compliance as part of your infrastructure management — and really helping more of the team work together.”
Indeed, after starting with a focus on infrastructure teams, Pulumi is now looking to expand across teams.
“The infrastructure team is becoming the nucleus that pulls the whole team together. We’re actually calling this cloud engineering,” Duffy explained. “What we’re calling cloud engineering is developers using the cloud in a first-class way, infrastructure teams helping them do that and increasingly pulling in security engineers to make sure that governance is part of the story as well. The 2.0 release was our first time exploring those adjacencies and trying to paint a path to realizing the full Pulumi vision.”
Infrastructure as code isn’t necessarily new, of course. The promise of Pulumi is that it isn’t hobbled by any legacy products but that the team designed it as a cloud-native product from the ground up. That’s something NEA’s Aaron Jacobson, who will join the company’s board, also stressed.
More on Pulumi
“If you think about how fast the cloud has evolved just in 10 years, Pulumi is built in a place of multi-cloud, of Kubernetes, of serverless, Jacobson said. “And much of the original infrastructure-as-code constructs didn’t even have those in mind. Since Pulumi is newer to market and has come after all those constructs, it just has better integration, it’s just a more delightful experience to developers.”
NEA’s Scott Sandell is actually taking this a bit further. “Venture capitalists are in the business of pattern recognition,” he said. “And the pattern that I recognized actually goes all the way back to when I was a product manager in the windows group. And I saw that developers don’t want to have to deal with complexity — they want to have the complexity managed for them.” That, he argues, is what Pulumi does for developers — and it surely helped both Duffy and his co-founder and Pulumi executive chairman Eric Rudder, who left successful careers at Microsoft to build this company.
In addition to the new funding, Pulumi also today announced that it brought in a number of new executives, including industry veterans Jay Wampold as CMO, Lindsay Marolich as senior director of demand generation, Kevin Kotecki as VP of sales and Lee-Ming Zen as VP of engineering.
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