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ReviveMed turns drug discovery into a big data problem and raises $1.5M to solve it

What if there’s a drug that already exists that could treat a disease with no known therapies, but we just haven’t made the connection? Finding that connection by exhaustively analyzing complex biomechanics within the body — with the help of machine learning, naturally — is the goal of ReviveMed, a new biotech startup out of MIT that just raised $1.5 million in seed funding.

Around the turn of the century, genomics was the big thing. Then, as the power to investigate complex biological processes improved, proteomics became the next frontier. We may have moved on again, this time to the yet more complex field of metabolomics, which is where ReviveMed comes in.

Leila Pirhaji, ReviveMed’s founder and CEO, began work on the topic during her time as a postgrad at MIT. The problem she and her colleagues saw was the immense complexity of interactions between proteins, which are encoded in DNA and RNA, and metabolites, a class of biomolecules with even greater variety. Hidden in these innumerable interactions somewhere are clues to how and why biological processes are going wrong, and perhaps how to address that.

“The interaction of proteins and metabolites tells us exactly what’s happening in the disease,” Pirhaji told me. “But there are over 40,000 metabolites in the human body. DNA and RNA are easy to measure, but metabolites have tremendous diversity in mass. Each one requires its own experiment to detect.”

As you can imagine, the time and money that would be involved in such an extensive battery of testing have made metabolomics difficult to study. But what Pirhaji and her collaborators at MIT decided was that it was similar enough to other “big noisy data set” problems that the nascent approach of machine learning could be effective.

“Instead of doing experiments,” Pirhaji said, “why don’t we use AI and our database?” To that end she founded ReviveMed with her PhD advisor, Ernest Fraenkel, and shortly afterwards was joined by data scientist Demarcus Briers and biotech veteran Richard Howell.

Pharmaceutical companies and research organizations already have a mess of metabolites masses, known interactions, suspected but unproven effects and disease states and outcomes. Plenty of experimentation is done, but the results are frustratingly vague owing to the inability to be sure about the metabolites themselves or what they’re doing. Most experimentation has resulted in partial understanding of a small proportion of known metabolites.

That data isn’t just a few drives’ worth of spreadsheets and charts, either. Not only does the data comprise drug-protein, protein-protein, protein-metabolite and metabolite-disease interactions, but they’re including data that’s essentially never been analyzed: “We’re looking at metabolites that no one has looked at before.”

The information is sitting in an archive somewhere, gathering dust. “We actually have to go physically pick up the mass spectrometry files,” Pirhaji said. (“They’re huge,” she added.)

Once they got the data all in one place (Pirhaji described it as “a big hairball with millions of interactions,” in a presentation in March), they developed a model to evaluate and characterize everything in it, producing the kind of insights machine learning systems are known for.

The “hairball.”

The results were more than a little promising. In a trial run, they identified new disease mechanisms for Huntington’s, new therapeutic targets (i.e. biomolecules or processes that could be affected by drugs) and existing drugs that may affect those targets.

The secret sauce, or one ingredient anyway, is the ability to distinguish metabolites with similar masses (sugars or fats with different molecular configurations but the same number and type of atoms, for instance) and correlate those metabolites with both drug and protein effects and disease outcomes. The metabolome fills in the missing piece between disease and drug without any tests establishing it directly.

At that point the drug will, of course, require real-world testing. But although ReviveMed does do some verification on its own, this is when the company would hand back the results to its clients, pharmaceutical companies, which then take the drug and its new effect to market.

In effect, the business model is offering a low-cost, high-reward R&D as a service to pharma, which can hand over reams of data it has no particular use for, potentially resulting in practical applications for drugs that already have millions invested in their testing and manufacture. What wouldn’t Pfizer pay to determine that Robitussin also prevents Alzheimer’s? That knowledge is worth billions, and ReviveMed is offering a new, powerful way to check for such things with little in the way of new investment.

This is the kind of web of molecules and effects that the system sorts through.

ReviveMed, for its part, is being a bit more choosy than that — its focus is on untreatable diseases with a good chance that existing drugs affect them. The first target is fatty liver disease, which affects millions, causing great suffering and cost. And something like Huntington’s, in which genetic triggers and disease effects are known but not the intermediate mechanisms, is also a good candidate for which the company’s models can fill the gap.

The company isn’t reliant on Big Pharma for its data, though. The original training data was all public (though “very fragmented”) and it’s that on which the system is primarily based. “We have a patent on our process for getting this metabolome data and translating it into insights,” Pirhaji notes, although the work they did at MIT is available for anyone to access (it was published in Nature Methods, in case you were wondering).

But compared with genomics and proteomics, not much metabolomic data is public — so although ReviveMed can augment its database with data from clients, its researchers are also conducting hundreds of human tests on their own to improve the model.

The business model is a bit complicated, as well — “It’s very case by case,” Pirhaji told me. A research hospital looking to collaborate and share data while sharing any results publicly or as shared intellectual property, for instance, would not be a situation where a lot of cash would change hands. But a top-5 pharma company — two of which ReviveMed already has dealings with — that wants to keep all the results for itself and has limitless coffers would pay a higher cost.

I’m oversimplifying, but you get the idea. In many cases, however, ReviveMed will aim to be a part of any intellectual property it contributes to. And of course the data provided by the clients goes into the model and improves it, which is its own form of payment. So you can see that negotiations might get complicated. But the company already has several revenue-generating pilots in place, so even at this early stage those complications are far from insurmountable.

Lastly there’s the matter of the seed round: $1.5 million, led by Rivas Capital along with TechU, Team Builder Ventures and WorldQuant. This should allow them to hire the engineers and data scientists they need and expand in other practical ways. Placing well in a recent Google machine learning competition got them $200,000 worth of cloud computing credit, so that should keep them crunching for a while.

ReviveMed’s approach is a fundamentally modern one that wouldn’t be possible just a few years ago, such is the scale of the data involved. It may prove to be a powerful example of data-driven biotech as lucrative as it is beneficial. Even the early proof-of-concept and pilot work may provide help to millions or save lives — it’s not every day a company is founded that can say that.

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Voicera scoops up AI note-taking app Wrappup

Voicera wants to be the company that eliminates the need for human note taking once and for all. Their vision is an AI-driven voice recognition system that not only takes notes, but identifies speakers and summarizes key points and action items. Today, the company announced it had acquired a similar startup, Wrappup, an AI-fueled note taking app that fits in nicely with that vision.

The Wrappup team is joining Voicera immediately. Terms were not disclosed.

Voicera CEO Omar Tawakol certainly saw the fit. “Both companies approached the problem with meetings in synergistic ways. Wrappup’s mobile-first, in-person meeting product complements and extends Voicera’s initial focus on conference calls,” he said in a statement.

Wrappup’s special strength it turns out it is identifying the salient points in a meeting in a mobile context. To that end, the company also announced the launch of a new mobile app. Chances are this combining of these two companies has been in the works for some time, and is just being made official today.

Photo: Voicera

Wrappup CEO Rami Salman says joining forces with Voicera creates a more compelling and powerful solution for customers. “Our combined tech stack and AI algorithms more accurately identify and summarize important moments from all your meetings, regardless of where they are held,” he said in a statement.

Voicera’s voice recognition tool is a cloud service called Eva. It is designed to remove the task of note taking from the meeting experience. The company got a $13.5 million Series A last month from some big-time investors, including e.ventures, Battery Ventures, GGV Capital and Greycroft. They also got some attention from enterprise corporate venture investors, including GV (the investment firm affiliated with Google), Microsoft Ventures, Salesforce Ventures and Workday Ventures. The level of these investors shows the company is attacking a real pain point for meeting attendees.

Wrappup is based in Dubai and was founded in 2015. It has raised $800,000 to date. It works with existing meeting tools, including GoToMeeting from Citrix, WebEx from Cisco, UberConference and Zoom.

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Wonolo picks up $13M to create a way to connect temp workers with companies

AJ Brustein was out spending time with a member of his merchandising team when a nearby store ran out of stock of some goods — but there was no one on staff responsible for that location. Fortunately, the employee he was with had already showed him how to restock the shelves, and he offered to peel off and do it himself.

But that gap in the workforce may have just continued, leading directly to potential lost revenue for companies that sell products in those stores. That’s why Brustein and Yong Kim started Wonolo, a tool to connect companies with temporary workers in order to fill the unexpected demand those companies might face in those same out-of-stock situations. Wonolo employees sign up for the platform, and the companies that partner with the startup have an opportunity to grab the necessary workers they need on a more flexible basis. Wonolo today said it has raised $13 million in a new financing round led by Sequoia Capital, including existing investors PivotNorth and Crunchfund, and new investor Base10. Sequoia Capital’s Jess Lee is joining the company’s board of directors as part of the financing.

“There’s a big opportunity  helping people fill in their schedule with shifts,” Brustein said. “We really found there’s this huge untapped market of people who are looking for work who are underemployed. Let’s say Mary is a great worker and has a great job at the Home Depot, but no matter how good she, is she can only get 29 hours of work. It’s hard to manage schedules between different employers that want you to work the same hours. That’s the market we’ve really focused on, the underemployed market, which is a growing unfortunate trend in the U.S. That’s changed a little bit about the types of jobs we have on the platform.”

Wonolo is essentially looking to replace the typical temp agency experience, which helps workers find positions with companies that need a more limited amount of time. Meanwhile, those workers get an opportunity to fill in extra shifts that they might need for additional income on a more flexible schedule. Once a company posts a job to Wonolo, employees will get notified that it’s available and then get a chance to pick up those shifts, and when the job is approved those workers get paid right away.

While the jobs that Wonolo is suited for are more along the lines of merchandising, events staff, or more general labor, the hope is that the service will also expose those employees to a variety of companies who may actually end up wanting to hire them at some point. It allows them to get a good snapshot of all the work that’s available, and theoretically would help offer them an additional step on a career path that could get them to a direct full-time job with any of the companies from which they might end up accepting jobs.

“We thought we could address [the idea of being able to deal with unpredictability] better than temp staffing, and we realized the antidote was flexibility on the worker side,” Brustein said. “We could match them with these jobs that would unpredictably pop up. When we dug into it, we realized flexibility was something that was just completely lacking for workers. We took a very different approach to the way that people will often recruit talent for staffing agencies or their own employees. We are looking at character traits.”

Wonolo was born out of Brustein and Kim’s experience at Coca-Cola, where they had an opportunity to work with a major brand for a number of years. After a while, they got an opportunity to start working on a more entrepreneurial project, and that’s when that whole merchandising scenario played out and prompted them to start working on Wonolo. That part about character traits is an important part for Wonolo, Brustein said — because as long as someone can complete a job, they don’t have to be an absolute expert, as long as they are there ready and good to go.

There are, of course, companies trying to create platforms for temporary workers, like TrueBlue, and Brustein said Wonolo will inevitably have to compete with more local players as it looks to expand. But the hope is that aiming to tap the same kind of flexibility that made Uber so popular for temporary staffers — and potentially that pathway to a big career opportunity — will be one that attracts them to their service.

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Here’s the 23rd batch of 500 Startups companies

500 Startups may soon be coming up on the one-year mark for the end of a tumultuous saga involving its founder, but its accelerator classes still continue to plug along — and its next batch is now getting ready to roll.

The firm’s 23rd batch of startups this year consists of the usual mix of business to business and consumer companies (even coffee) that end up in each class. This class is definitely a smaller one, but it still seems to spread a pretty wide number of different verticals. There’s also, of course, a blockchain track for this class, though a small percentage of the startups in it are taking part of that — and there was still a certain rigor they had to have to run through it.

“For every major tech movement, for every tech phase, there’s the infrastructure phase and the deployment phase,” 500 Startups partner Marvin Laio said. “Our view, with the blockchain, we’re in the infrastructure phase. A lot of these projects outside that we see and read about, they’re kind of bad. They’re really applications. There’s no point having a mobile app if you don’t have the app store. You need to build out the app store. For better or worse, we’re in the infrastructure phase right now.”

The firm is still clearly making some pretty big changes, including an unconventional deal with the Abu Dhabi Financial Group (ADFG) that gives it a stake in the firm’s parent company. The terms of that deal weren’t disclosed, it was another move among many by CEO Christine Tsai to begin to rework the mechanics of how the firm works — especially as it hopes to succeed as both a venture fund as as a program for entrepreneurs looking to get their companies off the ground. Dave McClure, the firm’s co-founder, resigned last year following allegations of sexual misconduct, and since then it’s been trying to get back to business as usual.

500 Startups takes a similar approach to other accelerators, where they will invest around $150,000 for a small chunk of equity and then take on a small amount of that back (a little more than $37,000) for program fees. The firm has primarily been known for its savvy when it comes to growth and marketing, so the support entrepreneurs get usually has that as a core part of the experience.

Here’s the next batch of 500 Startups companies:

  • Chipper — A mobile app that helps student loan borrowers pay off debt faster through round ups from everyday transactions and contributions from family and friends.
  • Copper Cow Coffee — A service that brings specialty Vietnamese coffee to offices and homes biodegradable pour over technology.
  • Finedine Menu — A management platform for restauranteurs to create data driven digital menus for a smarter dining experience.
  • Harmonica — A mobile application that helps users find the right life partner that focuses on quality and fits conservative cultures.
  • Koreaboo — A digital media company that creates and shares viral Korean pop culture content in English to millions of people around the world.
  • Lexop — A digital process server that allows law firms and property managers prove the delivery of their emails in a legal and trackable way.
  • Lexyom — An online platform that provides users with smart legal answers and tailored legal services using artificial intelligence.
  • Libra Credit — A global lending platform that allows anyone to borrow money against their crypto-curriences and crypto-assets
  • Metadium — An identity service platform that provides the fundamentals for various services providers to develop their business on the blockchain.
  • Orchard — A program for affordable smartphone insurance to enterprises, leveraging diagnostic software to make device support and claims a seamless self-serve experience.
  • Purple Go — Enables retailers in the $36B vision care industry to reach today’s omni-channel consumer with seamlessly integrated online and in-store mobile software services.
  • reflect — A mental health platform that reimagines in-person therapy to be more accessible and effective by using data-driven matching to increase engagement and outcomes.
  • Salusive Health — A nurse-based healthcare provider that offers a technology platform with clinical services to help physician practices streamline disease management.
  • Shezlong — An online mental health platform focusing in the Middle East and North Africa region that allows patients to be connected with licensed therapists via video visit on mobile or web.
  • Solana — A high performance blockchain that can scale over 700,00 transactions per second on stock hardware.
  • Starship — A mobile health savings account with automated investing built for humans.
  • StructionSite Inc — Lets construction project teams access the jobsite remotely and compare design to reality.

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Former DreamWorks exec Shawn Dennis joins GoldieBlox as president

GoldieBlox, a startup looking to get girls hooked on engineering and other STEM fields, has hired Shawn Dennis as its first president.

Dennis was most recently the head of brand and franchise development at DreamWorks Animation and also worked as the chief marketing officer at Mattel’s American Girl. She’s also been on the GoldieBlox board of directors since 2016 — founder and CEO Debbie Sterling told me she’s been “not-so-secretly hoping all along that one day Shawn would come and help me run this thing.”

Sterling said that while GoldieBlox is usually described as a toy company, she’s always had a vision for the Goldie character to become someone who would “inspire girls around the world.”

“I started it really as a social mission: I wanted to close the gender gap in STEM,” she said.

And yes, selling toys where girls can build their own machines is part of that mission, but so is the GoldieBlox YouTube channel and a partnership to produce chapter books with Random House.

Part of Dennis’ role at GoldieBlox will be to lead licensing and partnerships (apparently there’s an animated show in the works, as well) and to create what she described as “an ecosystem with girls at the center.” She added that things like YouTube are key for helping the company open “two lanes of communication,” so that it’s not just talking to parents but girls as well.

“It’s time again to reinvent what girlhood means,” Dennis said.

In addition to handling licensing, she said she’ll be managing much of the company’s day-to-day operations, freeing Sterling to focus on the long-term vision and on advocating for that vision. Dennis’ tenure at both DreamWorks (where she was involved in launching franchises like Trolls) and American Girl has given her plenty of experience with building brands for girls, but she added,” I will be running the business and building the business. I will not be the face of the company — that needs to be Debbie.”

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Electric scooter permits will be required in San Francisco

The San Francisco Board of Supervisors unanimously voted today to approve the ordinance that looks to regulate electric scooters in San Francisco. The ordinance seeks to establish regulation and a permitting process that would enable the San Francisco Municipal Transportation Agency or Department of Public Works to take action against scooters from companies that don’t have an official permit from the city.

“Part of the brouhaha has been really the function of the fact, which was admitted yesterday, was that some of these companies have been a little bit fast and loose with the truth,” Supervisor Aaron Peksin, a sponsor of the ordinance, said today at the Board of Supervisors meeting.*

Peskin is referencing the fact that Lime, Spin and Bird deployed their respective scooters without permission from the city. The permitting scheme the city has in mind, Peskin said, is very similar to the one San Francisco has in place around stationless bike-sharing.

“This is a basic permitting scheme to allow the professional staff at SFMTA to permit these with sensible, regulatory frameworks and to be able to confiscate unpermitted vehicles or devices,” Peskin said.

He added that these electric scooters can absolutely serve some benefits to people in San Francisco, but that it does not mean the city should have to sacrifice its sidewalk space. The next step is for the BOS to continue working with the SFMTA to develop this regulation. At a hearing yesterday, the SFMTA said it hopes to open up the permitting process by May 1.

Earlier in the meeting today, the BOS adopted a resolution to develop a working group to inform future legislation around emerging technologies. One of the resolution’s sponsors, Supervisor Norman Yee, noted how he’s heard from seniors and people in wheelchairs who are “being imperiled and inconvenienced because they are having to navigate around scooters and bikes.”

He later added, the purpose of the working group would be to ensure the city is mindful of both the intended and unintended consequences of emerging technologies.

Yesterday, SF City Attorney Dennis Herrera sent cease-and-desist letters to Lime, Bird and Spin, but that doesn’t seem to be making any difference to Lime, Bird and Spin. All three of their respective scooters were found on the streets of San Francisco this morning.

“As it says in the letter, the City Attorney has laid out some recommendations for operation that he will like to see implemented by April 30; he has not requested an immediate stoppage of service,” a Bird spokesperson told TechCrunch. “We are taking his concerns very seriously and reviewing his recommendations for improving Bird in San Francisco.”

I’ve reached out to Lime and Spin about their respective operations in San Francisco. I’ll update this story if I hear back.

An earlier version of this story misattributed Supervisor Aaron Peskin’s quotes to another supervisor.

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Ripple’s Brad Garlinghouse and Michael Arrington to talk cryptocurrency at Disrupt SF

Ripple CEO Brad Garlinghouse and Arrington XRP Capital founder (and TechCrunch founder) Michael Arrington will be joining us at TechCrunch Disrupt SF in September to talk money.

Garlinghouse has had a long and storied career in the tech industry, serving as a senior vice president at Yahoo!, president of Consumer Applications at AOL and CEO of the file collaboration service Hightail. But in 2016, Garlinghouse was promoted from COO to CEO at payment services company Ripple.

Ripple’s goal is to try to make it as easy as possible to transfer money between two stores of value. Right now, that process is incredibly tedious, with no unifying structure to send money overseas or to underbanked communities. The notion of a unifying ledger is not a new one, but it’s one that’s transformed Ripple into a full-fledged company.

But Ripple also created the world’s third-largest digital token, XRP. The token has a current total market cap around $30 billion, and the company is working to expand the use cases for XRP, which has primarily been marketed as a tool for banks but has only attracted cross-border payment services.

As cryptocurrencies continue to evolve and gain mainstream attention, questions continue to mount around how these tokens will revolutionize the economy and gain utility.

TechCrunch founder and former Editor-In-Chief Michael Arrington will join Garlinghouse onstage to discuss the evolution of cryptocurrencies. Arrington left TechCrunch in 2011 and went on to start CrunchFund, which has invested in big-name startups such as Uber, Airbnb and Yammer.

In 2016, Arrington reduced his role at CrunchFund and has since started Arrington XRP Capital, a $100 million digital asset management firm in blockchain-based capital markets. Ripple is one of the first portfolio companies for Arrington XRP Capital.

This comes at a time when the SEC is doing everything it can to learn more about cryptocurrencies, sending out subpoenas to crypto funds far and wide, including Arrington XRP Capital.

This conversation is sure to be an interesting one, and one you won’t want to miss. Tickets to Disrupt SF (September 5 to September 7) are available now.

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Here’s what you’ll learn at Atrium’s fundraising workshop

Justin Kan is qualified to teach you how to pitch, and isn’t shy about it. Having raised about $90 million for a few companies and sold his startup Twitch to Amazon for almost a billion dollars, not being shy is actually part of what Kan teaches. His legal services startup Atrium today officially launches Atrium Scale, its free Series A fundraising workshop that’s helped eight startups raise $100 million since it started in beta five months ago. The two-day in-person seminar includes pitch coaching, intros to investors and mentors, follow-up online pitch deck help, legal advice, Amazon and Google Cloud credits and tax and accounting services.

I went through Atrium Scale myself, pretending I was the founder of a hypothetical startup that replaces your phone’s contacts app. While the lectures were full of valuable tips, you can get a lot of those from instructional blog posts by Kan and other VCs. But the small group Q&A and coaching with entrepreneurs who’d successfully raised did a remarkable job of improving attendees’ pitches and the esoteric song-and-dance necessary to get investors to part with their cash.

Atrium co-founder Justin Kan

Here’s a breakdown of how Atrium Scale works:

  • When: Once per quarter over a Saturday and Sunday
  • Where: Atrium’s offices in downtown San Francisco
  • How much: Free, but Atrium hopes you’ll end up using its legal services
  • Who: Startups planning to raise their Series A in the next six months, the sooner the better, who fly themselves in from all over the world
  • Who gets in: Atrium selects the 10 percent of applicants most ready for venture funding. Applications can be submitted here
  • Investors involved to date: Sequoia, General Catalyst, Accel, Venrock, Social Capital, Signia, KPCB, Lightspeed
  • Mentors: Justin Kan (Atrium, Twitch), Holly Liu (Kabam, Y Combinator), James Richards (Teleborder, TriNet), Andrew Trader (Zynga), Ashu Desai (Make School)

What Atrium Scale teaches

The Atrium Scale method revolves around the concepts of how to pitch and when. While there are plenty of ways to show off a business, Kan recommends a calculated approach to storytelling. “When should you raise? When you can convince investors to give you money and when cash is the constraint to scaling your business,” Kan said to kick off our program.

The song

“It all starts with a narrative — 99 percent is the work of building the business, but an important 1 percent is convincing people,” Kan relays.

First, explain how the world is a certain way. Describe the problem, why it’s big and who in the market would pay for a solution. Demonstrate that you’re an expert.

Second, explain how the world is changed by your solution to the problem. Frame what’s possible for businesses or consumers once they have your product.

Third, explain how the world is new now that your solution exists. Provide metrics on traction and mechanisms for growth, and show why your team is uniquely equipped to succeed. Identify adjacent markets your product will conquer.

Unlike the frothy days of yore, “people are no longer willing to lose money on a per-unit basis,” says Kan. VCs will demand to understand your unit economics and scalable customer acquisition strategy that turns cash invested into more cash earned.

Perhaps the most important part of the pitch is practice, though. Pitch to fellow founders, investors or angels, but explicitly tell them you want feedback, not money. Running through the pitch over and over boosts confidence, A/B tests narratives and unearths questions. Know your numbers by heart so you always seem sure of where the business is heading, and define a personal pitching style that plays to your personality strengths.

Kan says it all comes down to making investors see your vision for how you’re going to become a massive company.

Atrium Scale helps here by letting you pitch in groups, as well as one-on-one with mentors. Simply being surrounded by people all trying to improve creates an atmosphere conducive to progress rather than getting defensive about criticism. There could be better homework or takeaway materials to help startups continue to improve after the workshop ended, but I heard entrepreneurs work out kinks and trim off tangents that could have derailed their pitch during a real meeting.

 

The dance

Where Atrium Scale shined brightest was digging into the cadence of the fundraising process. Anyone can work out a decent pitch in their garage, but it takes special know-how to navigate turning that pitch into money in the bank. This is the kind of in-group knowledge that often makes it tough for outsiders to break into Silicon Valley.

You should pitch wide, planning to talk to at least 10 to 20 investors, but knowing it can take 100 ‘nos’ to get a ‘yes.’ Pick investors not based on their firm’s name recognition but their expertise and track record in your industry. Contact investors at least three to four weeks out and schedule meetings in as rapid succession as possible. The goal is to be able to get term sheets back at the same time so you can play firms off each other and pick the best deal.

You’ll start with single partner meetings. You’ll hear back within 24 to 48 hours if they go well, and you can assume they didn’t if you don’t hear back soon. Those that like you will set up multi-partner meetings, and you should ask them what their colleagues will want to know. If that goes well you’ll be brought in for an exhaustive full-partnership pitch where they’ll try to poke holes in your business. Lots of questions means lots of interest, while few questions and VCs bored on their phones means you’re toast.

If the partnership believes in you, you’ll quickly receive a term sheet, but you don’t have to sign it right away. Since you can’t fire your investors, be sure to call their references so you’re sure which you want to work with forever. This also gives you time to go back to other firms you’ve pitched. Don’t say who it’s from, but use your existing term sheet as leverage to get them to give you one or one with a better deal.

Aim for a lead investor that will put in at least 25 percent of the round volume and then fill it out with other firms, strategics and angels. Know that the median delay for investor due diligence is 41 days, so make sure you have enough runway to wait that long after you complete the pitch process. The fundraise should last you 12 to 18 months, but be careful because your spending will expand to take up what’s in the bank. Be ready by then to show you’ve hit new milestones that de-risk your business.

The program also reviewed more advanced topics like raising money from strategic investors, equity versus SAFE financing, crooked deal terms like ratchets and liquidation preferences and how to manage your board. That one-size-fits all info is certainly helpful, but thanks to the small class size, Atrium Scale’s Q&As let founders get answers to industry-specific questions and their own edge cases.

There are plenty of people looking to help startups in Silicon Valley, but few are giving away this high-quality of education for free. Accelerators can charge 7 percent of equity and advisors can charge a percentage point or two. That can be worth a lot if the startup does well. Consultants want cash that pre-A startups rarely have. But Atrium is merely looking for lead generation and it needs them to raise money to be able to afford its legal services. That aligns the workshop well with the outcomes for the companies.

If you have a dumb business idea, no amount of turd polishing will get you legitimate funding. But for startups on to something that just need help communicating, Atrium Scale could be a quick and cheap way to boost their chances of getting picked from the crowd.

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Snap launches new features for Lens Studio

At the end of last year, Snap introduced Lens Studio, a platform that allows developers to create AR lenses for Snapchat. Today, the company is announcing new features for Lens Studio, including seven brand new templates for the creation of face lenses.

Before now, only World Lens creation was available to everyone within Lens Studio, meaning developers could create 3D AR objects but not overlay AR experiences over faces. Now, developers can create Face Lenses, with seven different templates from which to choose.

Here are the new templates for Face Lenses:

  • Face Paint: focuses on face substitution, mapping the face to let developers create art tied to facial features like the lips or nose (great for makeup or accessories)
  • Photo: much like Face Paint, Photo lets creators overlay lenses onto a single static (head-on) photo
  • Distort: lets developers stretch or shrink facial features
  • Trigger: with Trigger, developers can create a trigger (blinking, raising eyebrows, open/close mouth) to execute a lens
  • 2D Objects: this template works the same way as Snap’s famous dog ears filter, letting developers create 2D objects that can be overlaid on a picture of video
  • 3D Objects: same as 2D Objects, but with 3D objects; this template also includes a helper script to play looping animation on the 3D objects
  • Baseball Cap: revamp a 3D baseball cap to change color, brim style and add an image

Alongside the new templates, Snap is also integrating with Giphy to give Lens Studio developers access to Giphy’s massive library of animated GIF stickers.

With the introduction of these new features, Snap is opening up these third-party lenses to the public with the launch of Community Lens Stories. Each story will include public Snaps submitted on Our Story that highlight a community lens. Folks can swipe up on one of these Snaps to unlock the lens, or browse other Lenses by tapping the ‘i’ button above a Community Lens in the carousel.

This is all in an effort to open up Snap to third-party developers and creators, which is why the company is launching the Official Creator Program. This will allow the Snap team to partner with select creators to offer support, including visibility on the Lens Studio website as well as direct support from the Lens Studio team. Official Creators will also get early access to features and templates.

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Crypto fans, let’s meet in New York next week

I’ll be helping build a larger meetup focused on pre-ICO companies in New York on April 23 and I’d love to see you there. It will be held at Knotel on April 23 at 7pm and will feature a pitch-off with eight startups — I will write about the best ones — and two panels with some yet-unnamed stars in the space.

I’d love to see you there, so please sign up here. It’s free for early birds, so hurry.

The event will be held at 551 Fifth Avenue on the 9th Floor and you can sign up to pitch here. I’ll have more information as we get closer to the event. This is still an experimental format, so let’s see how it works.

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