Apple is said to be planning to bankroll the creation of original podcasts from third-parties that it will offer exclusively on its own streaming services, Bloomberg reports. The report says that Apple’s plans to land podcast exclusives will help the company compete with similar offerings from streaming rivals including Spotify and Sticher, both of which are funding exclusive podcast content, and in some cases, wholly original shows to run on their own streaming audio offerings.
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How it works
Capture’s AI-powered chatroom recommendations are designed to work as an onboarding engine for meeting relevant strangers online — using neural networks and machine learning to do the legwork of surfacing relevant people and chats.
Here’s how the mobile app works: Open the app, point the camera at something you view as a conversational jumping off point — and watch as it processes the data using computer vision technology to figure out what you’re looking at and recommend related chats for you to join.
For example, you might point the camera around your front room and be suggested a chatroom for ‘interior design trends and ideas’ , or at a pot plant and get ‘gardeners’ chat, or at your cat and get ‘pet chat’ or ‘funny pets’.
Capture app
Point the camera at yourself and you might see suggestions like ‘Meet new friends’, ‘Hot or not?’, ‘Dating’, ‘Beautiful people’ — or be nudged to start a ‘Selfie chat’, which is where the app will randomly connect you with another Capture user for a one-to-one private chat.
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The report says that Apple execs have been reaching out to media companies that produce audio content to talk about the possibility of buying exclusive rights to some podcasts, albeit in a “preliminary” way, which suggests that this plan may be in the very early stages. It seems unlikely, then, that we would see any kind of Apple exclusive original podcast content ahead of other media efforts soon to launch from the company, including its Apple TV+ subscription video service coming this fall.
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But they say they’re also armed to be able to respond quickly to usage patterns — with bits and pieces lined up in the background so they can move quickly to add/remove features based on the usage feedback they get. So, basically, watch this space.
All the feature creep and experimentation has delayed their launch a little though. The app had been slated to arrive in Q4 last year. Albeit, a later-than-expected launch is hardly an unusual story for a startup.
Capture also of course suffers from a lack of users for people to chat to at the point of release — aka, the classic network effect problem (which also makes testing it prior to launch pretty tricky; safe to say, it was a very minimalist messaging experience).
Not having many users also means Capture’s chat suggestions aren’t as intelligent and savvy as the founders imply they’ll be.
So again the MVP will need some time to mature before it’s safe to pass judgement on the underlying idea. It does feel a bit laggy right now — and chat suggestions definitely hit and miss but it will be interesting to see how that evolves as/if users pile in. capture app
Part of their plan is to encourage and nurture movie/TV/entertainment discussion communities specifically — with Hardy arguing there’s “no such tool” that easily supports that. So in future they want Capture users to be notified about new series coming up on Netflix, or Disney’s latest release. Then, as users watch that third party content, their idea is they’ll be encouraged to discuss it live on their mobiles via Capture.
But movie content is only partially launched at this stage. So again that’s all just a nice idea at this stage.
Testing pre-launch on various celebrity visages also drew a suggestive blank — and Hardy confirmed they’ve got more pop culture adds planned for the future.
Such gaps will likely translate into a low stickiness rate at first. But when the team’s ambition is to support a Google-esque level of content queries the scale of the routing and pattern matching task ahead of them is really both massive and unending.
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Chat suggestions are based on an individual user’s inferred interests and local context (pulled via the phone) and also on matching users across the app based on respective usage of the app.
At the same time the user data being gathered is not used to pervasively profile uses, as is the case with ad-supported social networks. Rather Capture’s founders say personal data pulled from the phone — such as location — is only retained for a short time and used to power the next set of recommendations.
Capture users are also not required to provide any personal data (beyond creating a nickname) to start chatting. If they want to use Capture’s web platform they can provide an email to link their app and web accounts — but again that email address does not have to include anything linked to their real identity.
“The key tech we want to develop is a machine learning system that can suggest you the most relevant stuff and topics for you right now — based on data we have from your phone,” continues Moiseenkov. “This is like a magical moment. We do not know who you are — but we can suggest something relevant.
“This is like a smart system because we’ve got some half graph of connection between people. It’s not like the entire graph like your friends and family but it’s a graph on what chat you are in, so where are you discussing something. So we know this connection between people [based on the chats you’re participating in]… so we can use this information.
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Apple has recently made a number of improvements to its podcast product offerings, both on the consumer and the creator side, including more detailed analytics for podcasters, and a full-fledged standalone Podcasts app for its macOS computers, which is launching alongside macOS Catalina this fall. Still, it’s largely been hands-off when it comes to content, aside from informally meeting with podcasters on occasion and sharing best practices.
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“Imagine this is somehow sort of a graph. That’s a really key part of our system. We know these intersections, we know the queries, and the intersection of queries from different people. And that’s the key here — the key machine learning system then want to match this between people and interests, between people and topics, and so on.
“On top of that we’ve got recognition stuff for images — like six or seven neural networks that are working to recognize the stuff, what are you seeing, how, what position and so on. We’ve got some quite slick computer vision filters that can do some magic and do not miss.
“Basically we want to perform like Google in terms of query we’ve got — it’s really big system, lots of tabs — to suggest relevant chats.”
Image recognition processing is all done locally on the user’s device so Capture is not accessing any actual image data from the camera view — just mathematical models of what the AI believes it’s seen (and again they claim they don’t hold that data for long).
“Mostly the real-time stuff comes from machine learning, analyzing the data we have from your phone — everybody has location. We do not store this location… we never store your data for a long time. We’re trying to move into more private world where we do not know who you are,” says Moiseenkov.
“When you log into our app you just enter the nickname. It’s not about your phone number, it’s not about your social networks. We sometimes — when you just want to log in from other device — we ask you an email. But that’s all. Email and nickname it’s nothing. We do not know nothing about you. About your person, like where you work, who’s your friends, so on and so on. We do not know anything.
“I think that’s the true way for now. That’s why gaming is so fast in terms of growing. People just really want to share, really want to log in and sign up [in a way] that’s easy. And there is no real barriers for that — I think that’s what we want to explore more.”
Chatroulette
Having tested Capture’s app prior to launch I can report that the first wave chat suggestions are pretty rudimentary and/or random.
Plus its image recognition often misfires (for instance my cat was identified as, among other things, a dog, hamster, mouse and even a polar bear (!) — as well as a cat — so clearly the AI’s eye isn’t flawless, and variable environmental conditions around the user can produce some odd and funny results).
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Meanwhile, Spotify in particular has been especially aggressive about acquiring its own podcast media companies, including Gimlet, which makes popular podcast ‘Reply All”; Anchor, which creates podcast making tools for publishing and monetization; and Parcast, another podcast creation network with a deep library of true-life and other content.
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“With our tool you can find people not from your graph,” says Moiseenkov. “That’s the key here. So with WhatsApp it’s really hard to invite people not from your graph — or like friends of friends. And that’s a really tough question — where I can find the relevant people whom I chat about football? So now we add the tool for you in our app to just find these people and invite them to your [chat].”
“It’s really really hard not to like your friend’s post on Instagram because it’s social capital,” he adds. “You are always liking these posts. And we are not in this space. We do not want to move in this direction of followers, likers, and all this stuff — scrolling and endless communication.
“Time is changing, my life is changing, my friends and family somehow is changing because life is changing… We’re mobile like your everyday life… the app is suggesting you something relevant for this life [now]. And you can just find people also doing the same things, studying, discussing the same things.”
Community building
Why include private chats at all in Capture? Given the main premise (and promise) of the app is its ability to combine strangers with similar interests in the same virtual spaces — thereby expanding interest communities and helping mobile users escape the bubbles of closed chat groups.
On that Moiseenkov says they envisage communities will still want to be able to create their own closed groups — to maintain “a persistent, consistent community”.
So Capture has been designed to contain backchannels as well as open multiple windows into worlds anyone can join. “It’s one of opportunities to make this and I think that we should add it because we do not know exact scenarios right from the launch,” he says of including private conduits alongside public chats.
Given the multiple chat channels in the first release Capture does risk being a bit confusing. And during our interview the founders joke about having created a “maximal viable product” rather than the usual MVP.
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Capture app
The promise from the founders is that recommendations will get better as the app ingests more data and the AI (and indeed Capture staff performing manual curation of chat suggestions) get a better handle on what people are clicking on and therefore wanting to talk with other users about.
They also say they’re intending to make better linkage leaps in chat suggestions — so rather than being offered a chatroom called ‘Pen’ (as I was), if you point the Capture camera at a pen, the app might instead nudge you towards more interesting-sounding chats — like ‘office talk’ or ‘writing room’ and so on.
Equally, if a bunch of users point their Capture cameras at the same pen the app might in future be smart enough to infer that they all want to join the same chatroom — and suggest creating a private group chat just for them.
On that front you could imagine members of the same club, say, being able to hop into the same discussion channel — summoning it by scanning a mutual object or design they all own or have access to. And you could also imagine people being delighted by a scanner-based interface linked to custom stuff in their vicinity — as a lower friction entry point vs typing in their directions. (Though — to be clear — the app isn’t hitting those levels of savvy right now.)
“Internally we imagine that we’re like Google but without direct query typing,” Moiseenkov tells TechCrunch. “So basically you do the query — like scanning the world around you. Like you are in some location, like some venue, imagine all this data is like a query — so then step by step we know what people are clicking, then improving the results and this step by step, month by month, so after three month or four month we will be better. So we know what people are clicking, we know what people are discussing and that’s it.”
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“It’s tricky stuff,” he adds. “It’s really really hard. So we need lots of machine learning, we need lots of like our hands working on this moderating stuff, replacing some stuff, renaming, suggest different things. But I think that’s the way — that’s the way for onboarding people.
“So when people will know that they will open the app in the arena and they will receive the right results the most relevant stuff for this arena — for the concert, for the match, or something like that, it will be the game. That’s what we want to achieve. So every time during the day you open the app you receive relevant community to join. That’s the key.”
Right now the founders say they’re experimenting with various chat forms and features so they can figure out how people want to use the app and ensure they adapt to meet demand.
Hence, for example, the chatroulette-style random ‘selfie chat’ feature. Which does what it says on the tin — connecting you to another random user for a one-to-one chat. (If selfie chats do end up getting struck out of the app I hope they’ll find somewhere else to house the cute slide-puzzle animation that’s displayed as the algorithms crunch data to connect you to a serendipitous interlocutor.)
They’re also not yet decided on whether public chat content in Capture will persist indefinitely — thereby potentially creating ongoing, topics-based resources — or be ephemeral by default, with a rolling delete which kicks in after a set time to wipe the chat slate clean.
“We actually do not know what will be in the next one to three months. We need to figure out — will it be consistent or ephemeral,” admits Moiseenkov. “We need to figure out certain areas, like usage patterns. We should watch how people behave in our app and then decide what will be the feed.”
Capture does support private group chats as well as public channels — so there’s certainly overlap with the messaging platform Telegram, which also supports both. Though one nuance between them is Capture Channels let everyone comment but only admins post vs Telegram channels being a pure one-way broadcast.
But it’s on interface and user experience where Capture’s approach really diverges from the more standard mobile messaging playbook.
If you imagine it as a mash-up of existing social apps Capture could be thought of as something like a Snap-style front end atop a Telegram-esque body yet altogether sleeker, with none of the usual social baggage and clutter. (Some of that may creep in of course, if users demand it, and they do have a reactions style feature linked up to add in so… )
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Apple still enjoys a strong majority of audience when it comes to overall podcast listenership by all accounts, but Spotify is definitely chipping away by focusing effort and investment both on the product and on the content side. Apple considering funding content of its own definitely makes sense given its tactics in video, and the changed landscape of the podcast business.
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To get usage off the ground they’re aiming to break the content recommendation problem down into more bite-size chunks — starting by seeding links to local events and news (sourced from parsing the public Internet); and also by focusing on serving specific communities (say around sports), and also linked to particular locations, such as cities — the latter two areas likely informed by in what and where the app gets traction.
They’ve also hired a content manager to help with content recommendations. This person is also in charge of “banning some bad things and all that stuff”, as they put it. (From the get go they’re running a filter to ban nudity; and don’t yet support video uploads/streams to reduce their moderation risk. Clearly they will need to be very ‘on it’ to avoid problem usage mushrooming into view and discouraging positive interactions and community growth within the app. But again they say they’re drawing on their Prisma experience.)
They also say they want this social app to be more a slow burn on the growth front — having seen the flip side of burn out viral success at Prisma — which, soon after flooding the social web with painterly selfies, had to watch as tech giants ruthlessly cloned the style transfer effect, reducing their novelty factor and pushing users to move on to their next selfie lens fix.
“As data-driven guys we’re mostly looking for some numbers,” says Moiseenkov when asked where they hope to be with Capture in 12 months’ time. “So I think achieving something like 1M or 2M MAU with a good retention and engagement loop by then is our goal.
“We want to keep this growth under control. So we could release the features step by step, more about engagement not more about viral growth. So our focus is doing something that can keep engagement loop, that can increase our spend time in the app, increase the usage and so on, not driving this into the peak and like acquiring all the trends.”
“Conclusions are drawn from Prisma!” adds Hardy with investor-winning levels of chutzpah.
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Google also notes that, as of Android Q, any Emoji that doesn’t have a gender specified in its Unicode documentation — emoji like “police officer” or “person getting haircut” and 51 others — will now default to a “gender ambiguous design.” You’ll be able to press-and-hold an emoji to select a “male” or “female” presentation, if you’d prefer.
Both platforms will also be getting a ton of new accessibility-focused emoji. Apple proposed these early last year, with the Unicode Consortium (the group that determines the official emoji set) giving its stamp of approval in February of this year.
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While it’s of course super early to talk business model, the question is a valid one given Capture’s claims of zero user profiling. Free apps backed by VC will need to monetize the hoped for scale and usage at some point. So how does Capture plan to do that?
The founders say they envisage the app acting as a distribution tool. And for that use case their knowing (only) the timing, location and subject of chats is plenty enough data to carry out contextual targeting of whatever stuff they can get paid to distribute to their users.
They are also toying with models in a Patreon style — such as users being able to donate to content authors who are in turn distributing stuff to them via Capture. But again plans aren’t fully formed at this nascent stage.
“Our focus right now is more like going into partnerships with different companies that have lots of content and lots of events going on,” says Hardy. “We also are going to ask for permission to get access to music apps like Spotify or Apple Music to be aware of those artists and songs a person is interested in and is listening to. So this will give us an opportunity to suggest relevant new albums, maybe music events, concerts and so on and so forth.
“For example if a band is coming to your city and we know we have access to Apple Music we know you’re listening to it we’ll suggest a concert — we’ll say ‘hey maybe you can win a free ticket’ if we can partner… with someone, so yeah we’re moving into this in the near future I think.”
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How it works
Capture’s AI-powered chatroom recommendations are designed to work as an onboarding engine for meeting relevant strangers online — using neural networks and machine learning to do the legwork of surfacing relevant people and chats.
Here’s how the mobile app works: Open the app, point the camera at something you view as a conversational jumping off point — and watch as it processes the data using computer vision technology to figure out what you’re looking at and recommend related chats for you to join.
For example, you might point the camera around your front room and be suggested a chatroom for ‘interior design trends and ideas’ , or at a pot plant and get ‘gardeners’ chat, or at your cat and get ‘pet chat’ or ‘funny pets’.
Capture app
Point the camera at yourself and you might see suggestions like ‘Meet new friends’, ‘Hot or not?’, ‘Dating’, ‘Beautiful people’ — or be nudged to start a ‘Selfie chat’, which is where the app will randomly connect you with another Capture user for a one-to-one private chat.
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The report says that Apple execs have been reaching out to media companies that produce audio content to talk about the possibility of buying exclusive rights to some podcasts, albeit in a “preliminary” way, which suggests that this plan may be in the very early stages. It seems unlikely, then, that we would see any kind of Apple exclusive original podcast content ahead of other media efforts soon to launch from the company, including its Apple TV+ subscription video service coming this fall.
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But they say they’re also armed to be able to respond quickly to usage patterns — with bits and pieces lined up in the background so they can move quickly to add/remove features based on the usage feedback they get. So, basically, watch this space.
All the feature creep and experimentation has delayed their launch a little though. The app had been slated to arrive in Q4 last year. Albeit, a later-than-expected launch is hardly an unusual story for a startup.
Capture also of course suffers from a lack of users for people to chat to at the point of release — aka, the classic network effect problem (which also makes testing it prior to launch pretty tricky; safe to say, it was a very minimalist messaging experience).
Not having many users also means Capture’s chat suggestions aren’t as intelligent and savvy as the founders imply they’ll be.
So again the MVP will need some time to mature before it’s safe to pass judgement on the underlying idea. It does feel a bit laggy right now — and chat suggestions definitely hit and miss but it will be interesting to see how that evolves as/if users pile in. capture app
Part of their plan is to encourage and nurture movie/TV/entertainment discussion communities specifically — with Hardy arguing there’s “no such tool” that easily supports that. So in future they want Capture users to be notified about new series coming up on Netflix, or Disney’s latest release. Then, as users watch that third party content, their idea is they’ll be encouraged to discuss it live on their mobiles via Capture.
But movie content is only partially launched at this stage. So again that’s all just a nice idea at this stage.
Testing pre-launch on various celebrity visages also drew a suggestive blank — and Hardy confirmed they’ve got more pop culture adds planned for the future.
Such gaps will likely translate into a low stickiness rate at first. But when the team’s ambition is to support a Google-esque level of content queries the scale of the routing and pattern matching task ahead of them is really both massive and unending.
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Chat suggestions are based on an individual user’s inferred interests and local context (pulled via the phone) and also on matching users across the app based on respective usage of the app.
At the same time the user data being gathered is not used to pervasively profile uses, as is the case with ad-supported social networks. Rather Capture’s founders say personal data pulled from the phone — such as location — is only retained for a short time and used to power the next set of recommendations.
Capture users are also not required to provide any personal data (beyond creating a nickname) to start chatting. If they want to use Capture’s web platform they can provide an email to link their app and web accounts — but again that email address does not have to include anything linked to their real identity.
“The key tech we want to develop is a machine learning system that can suggest you the most relevant stuff and topics for you right now — based on data we have from your phone,” continues Moiseenkov. “This is like a magical moment. We do not know who you are — but we can suggest something relevant.
“This is like a smart system because we’ve got some half graph of connection between people. It’s not like the entire graph like your friends and family but it’s a graph on what chat you are in, so where are you discussing something. So we know this connection between people [based on the chats you’re participating in]… so we can use this information.
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Apple has recently made a number of improvements to its podcast product offerings, both on the consumer and the creator side, including more detailed analytics for podcasters, and a full-fledged standalone Podcasts app for its macOS computers, which is launching alongside macOS Catalina this fall. Still, it’s largely been hands-off when it comes to content, aside from informally meeting with podcasters on occasion and sharing best practices.
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“Imagine this is somehow sort of a graph. That’s a really key part of our system. We know these intersections, we know the queries, and the intersection of queries from different people. And that’s the key here — the key machine learning system then want to match this between people and interests, between people and topics, and so on.
“On top of that we’ve got recognition stuff for images — like six or seven neural networks that are working to recognize the stuff, what are you seeing, how, what position and so on. We’ve got some quite slick computer vision filters that can do some magic and do not miss.
“Basically we want to perform like Google in terms of query we’ve got — it’s really big system, lots of tabs — to suggest relevant chats.”
Image recognition processing is all done locally on the user’s device so Capture is not accessing any actual image data from the camera view — just mathematical models of what the AI believes it’s seen (and again they claim they don’t hold that data for long).
“Mostly the real-time stuff comes from machine learning, analyzing the data we have from your phone — everybody has location. We do not store this location… we never store your data for a long time. We’re trying to move into more private world where we do not know who you are,” says Moiseenkov.
“When you log into our app you just enter the nickname. It’s not about your phone number, it’s not about your social networks. We sometimes — when you just want to log in from other device — we ask you an email. But that’s all. Email and nickname it’s nothing. We do not know nothing about you. About your person, like where you work, who’s your friends, so on and so on. We do not know anything.
“I think that’s the true way for now. That’s why gaming is so fast in terms of growing. People just really want to share, really want to log in and sign up [in a way] that’s easy. And there is no real barriers for that — I think that’s what we want to explore more.”
Chatroulette
Having tested Capture’s app prior to launch I can report that the first wave chat suggestions are pretty rudimentary and/or random.
Plus its image recognition often misfires (for instance my cat was identified as, among other things, a dog, hamster, mouse and even a polar bear (!) — as well as a cat — so clearly the AI’s eye isn’t flawless, and variable environmental conditions around the user can produce some odd and funny results).
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Meanwhile, Spotify in particular has been especially aggressive about acquiring its own podcast media companies, including Gimlet, which makes popular podcast ‘Reply All”; Anchor, which creates podcast making tools for publishing and monetization; and Parcast, another podcast creation network with a deep library of true-life and other content.
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“With our tool you can find people not from your graph,” says Moiseenkov. “That’s the key here. So with WhatsApp it’s really hard to invite people not from your graph — or like friends of friends. And that’s a really tough question — where I can find the relevant people whom I chat about football? So now we add the tool for you in our app to just find these people and invite them to your [chat].”
“It’s really really hard not to like your friend’s post on Instagram because it’s social capital,” he adds. “You are always liking these posts. And we are not in this space. We do not want to move in this direction of followers, likers, and all this stuff — scrolling and endless communication.
“Time is changing, my life is changing, my friends and family somehow is changing because life is changing… We’re mobile like your everyday life… the app is suggesting you something relevant for this life [now]. And you can just find people also doing the same things, studying, discussing the same things.”
Community building
Why include private chats at all in Capture? Given the main premise (and promise) of the app is its ability to combine strangers with similar interests in the same virtual spaces — thereby expanding interest communities and helping mobile users escape the bubbles of closed chat groups.
On that Moiseenkov says they envisage communities will still want to be able to create their own closed groups — to maintain “a persistent, consistent community”.
So Capture has been designed to contain backchannels as well as open multiple windows into worlds anyone can join. “It’s one of opportunities to make this and I think that we should add it because we do not know exact scenarios right from the launch,” he says of including private conduits alongside public chats.
Given the multiple chat channels in the first release Capture does risk being a bit confusing. And during our interview the founders joke about having created a “maximal viable product” rather than the usual MVP.
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Capture app
The promise from the founders is that recommendations will get better as the app ingests more data and the AI (and indeed Capture staff performing manual curation of chat suggestions) get a better handle on what people are clicking on and therefore wanting to talk with other users about.
They also say they’re intending to make better linkage leaps in chat suggestions — so rather than being offered a chatroom called ‘Pen’ (as I was), if you point the Capture camera at a pen, the app might instead nudge you towards more interesting-sounding chats — like ‘office talk’ or ‘writing room’ and so on.
Equally, if a bunch of users point their Capture cameras at the same pen the app might in future be smart enough to infer that they all want to join the same chatroom — and suggest creating a private group chat just for them.
On that front you could imagine members of the same club, say, being able to hop into the same discussion channel — summoning it by scanning a mutual object or design they all own or have access to. And you could also imagine people being delighted by a scanner-based interface linked to custom stuff in their vicinity — as a lower friction entry point vs typing in their directions. (Though — to be clear — the app isn’t hitting those levels of savvy right now.)
“Internally we imagine that we’re like Google but without direct query typing,” Moiseenkov tells TechCrunch. “So basically you do the query — like scanning the world around you. Like you are in some location, like some venue, imagine all this data is like a query — so then step by step we know what people are clicking, then improving the results and this step by step, month by month, so after three month or four month we will be better. So we know what people are clicking, we know what people are discussing and that’s it.”
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“It’s tricky stuff,” he adds. “It’s really really hard. So we need lots of machine learning, we need lots of like our hands working on this moderating stuff, replacing some stuff, renaming, suggest different things. But I think that’s the way — that’s the way for onboarding people.
“So when people will know that they will open the app in the arena and they will receive the right results the most relevant stuff for this arena — for the concert, for the match, or something like that, it will be the game. That’s what we want to achieve. So every time during the day you open the app you receive relevant community to join. That’s the key.”
Right now the founders say they’re experimenting with various chat forms and features so they can figure out how people want to use the app and ensure they adapt to meet demand.
Hence, for example, the chatroulette-style random ‘selfie chat’ feature. Which does what it says on the tin — connecting you to another random user for a one-to-one chat. (If selfie chats do end up getting struck out of the app I hope they’ll find somewhere else to house the cute slide-puzzle animation that’s displayed as the algorithms crunch data to connect you to a serendipitous interlocutor.)
They’re also not yet decided on whether public chat content in Capture will persist indefinitely — thereby potentially creating ongoing, topics-based resources — or be ephemeral by default, with a rolling delete which kicks in after a set time to wipe the chat slate clean.
“We actually do not know what will be in the next one to three months. We need to figure out — will it be consistent or ephemeral,” admits Moiseenkov. “We need to figure out certain areas, like usage patterns. We should watch how people behave in our app and then decide what will be the feed.”
Capture does support private group chats as well as public channels — so there’s certainly overlap with the messaging platform Telegram, which also supports both. Though one nuance between them is Capture Channels let everyone comment but only admins post vs Telegram channels being a pure one-way broadcast.
But it’s on interface and user experience where Capture’s approach really diverges from the more standard mobile messaging playbook.
If you imagine it as a mash-up of existing social apps Capture could be thought of as something like a Snap-style front end atop a Telegram-esque body yet altogether sleeker, with none of the usual social baggage and clutter. (Some of that may creep in of course, if users demand it, and they do have a reactions style feature linked up to add in so… )
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Apple still enjoys a strong majority of audience when it comes to overall podcast listenership by all accounts, but Spotify is definitely chipping away by focusing effort and investment both on the product and on the content side. Apple considering funding content of its own definitely makes sense given its tactics in video, and the changed landscape of the podcast business.
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To get usage off the ground they’re aiming to break the content recommendation problem down into more bite-size chunks — starting by seeding links to local events and news (sourced from parsing the public Internet); and also by focusing on serving specific communities (say around sports), and also linked to particular locations, such as cities — the latter two areas likely informed by in what and where the app gets traction.
They’ve also hired a content manager to help with content recommendations. This person is also in charge of “banning some bad things and all that stuff”, as they put it. (From the get go they’re running a filter to ban nudity; and don’t yet support video uploads/streams to reduce their moderation risk. Clearly they will need to be very ‘on it’ to avoid problem usage mushrooming into view and discouraging positive interactions and community growth within the app. But again they say they’re drawing on their Prisma experience.)
They also say they want this social app to be more a slow burn on the growth front — having seen the flip side of burn out viral success at Prisma — which, soon after flooding the social web with painterly selfies, had to watch as tech giants ruthlessly cloned the style transfer effect, reducing their novelty factor and pushing users to move on to their next selfie lens fix.
“As data-driven guys we’re mostly looking for some numbers,” says Moiseenkov when asked where they hope to be with Capture in 12 months’ time. “So I think achieving something like 1M or 2M MAU with a good retention and engagement loop by then is our goal.
“We want to keep this growth under control. So we could release the features step by step, more about engagement not more about viral growth. So our focus is doing something that can keep engagement loop, that can increase our spend time in the app, increase the usage and so on, not driving this into the peak and like acquiring all the trends.”
“Conclusions are drawn from Prisma!” adds Hardy with investor-winning levels of chutzpah.
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Google also notes that, as of Android Q, any Emoji that doesn’t have a gender specified in its Unicode documentation — emoji like “police officer” or “person getting haircut” and 51 others — will now default to a “gender ambiguous design.” You’ll be able to press-and-hold an emoji to select a “male” or “female” presentation, if you’d prefer.
Both platforms will also be getting a ton of new accessibility-focused emoji. Apple proposed these early last year, with the Unicode Consortium (the group that determines the official emoji set) giving its stamp of approval in February of this year.
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While it’s of course super early to talk business model, the question is a valid one given Capture’s claims of zero user profiling. Free apps backed by VC will need to monetize the hoped for scale and usage at some point. So how does Capture plan to do that?
The founders say they envisage the app acting as a distribution tool. And for that use case their knowing (only) the timing, location and subject of chats is plenty enough data to carry out contextual targeting of whatever stuff they can get paid to distribute to their users.
They are also toying with models in a Patreon style — such as users being able to donate to content authors who are in turn distributing stuff to them via Capture. But again plans aren’t fully formed at this nascent stage.
“Our focus right now is more like going into partnerships with different companies that have lots of content and lots of events going on,” says Hardy. “We also are going to ask for permission to get access to music apps like Spotify or Apple Music to be aware of those artists and songs a person is interested in and is listening to. So this will give us an opportunity to suggest relevant new albums, maybe music events, concerts and so on and so forth.
“For example if a band is coming to your city and we know we have access to Apple Music we know you’re listening to it we’ll suggest a concert — we’ll say ‘hey maybe you can win a free ticket’ if we can partner… with someone, so yeah we’re moving into this in the near future I think.”
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