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These YC founders pivoted 5 times before building a social app that nabbed 300K users and over M ARR in 6 months | TechCrunch

These YC founders pivoted 5 times before building a social app that nabbed 300K users and over $1M ARR in 6 months | TechCrunch

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A couple of months ago, the founders behind YC-backed social app Candle were in “pivot hell,” cycling through more than a dozen ideas after joining Y Combinator’s Fall 2024 batch, while the clock on their seed money ticked down.

Alex Ruber, previously an engineer at Apple, and Parth Chopra, formerly an engineer at Asana and Twitter, had built multiple projects together including Encore, a conversational AI shopping tool that got them into YC and with which they raised $2 million.

However, while the tech worked, the unit economics didn’t, according to Ruber.

“The secondhand shopping space is a tough market to begin with,” Ruber told TechCrunch. “To win, you either become like Google Shopping or build a really strong marketplace like Whatnot or eBay. That wasn’t a target we wanted to pursue.”

What followed were months of rapid experiments between last December and April, with pivots around ideas in areas like fashion and sports, none of which stuck. “We tried more than 10 different ideas in the span of four or five months,” Ruber said.

The pressure began to strain their own relationships with friends and partners, a familiar story for many early-stage founders. Ironically, that tension sparked the idea that would finally click.

The first version was simple: a swipeable deck of questions designed to spark conversations with their partners. Then an intern, now marketing lead at the startup, shared a TikTok about the app that went viral, unexpectedly gaining traction in Europe.

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Downloads surged, feedback poured in, and the team leaned into the momentum. That early prototype has since evolved into Candle, a lightweight, gamified app that helps couples and close friends stay connected.

Image Credits:Candle

Six months after launch, Candle has grown to 300,000 users, including 150,000 couples. The company says more than 250,000 are active each month, with a DAU/MAU ratio of around 50%, a strong signal of engagement for a consumer social app and an early sign of daily habit potential. Candle has also ranked in Apple’s App Store top 25 multiple times.

Candle’s wedge is sustaining existing relationships with small, daily prompts and games rather than helping people find new ones. Users answer quick questions, compare results, share photos, and keep a “streak” that shows how consistently they’ve checked in. The mechanics are textbook mobile engagement aimed at Gen Z and young millennials.

In another atypical move for a consumer social app—but one more common among newer AI-native products—monetization has come early. Candle’s monthly revenue recently crossed $150,000, implying an annual run rate above $1 million.

The app runs on a freemium model: the free tier offers daily prompts, photo updates, and core games, while premium unlocks extra content and features.

While growth remains a priority for the startup, monetizing early is a strong signal of product-market fit. “At the end of the day, this app helps people strengthen their connections. Most of it is free, but when users pay for extra content and features, it shows real product-market fit,” the CEO said.

The months-old platform is one of the few apps in the space, alongside Paired and Couple Joy, designed to make relationships more fun. These apps are tapping into a cultural undertow where post-pandemic work habits, solo meals, and endless social feeds have hollowed out day-to-day connections and left people in the U.S. lonelier than ever.

For Candle, the bet is that the next wave of social at scale will be less about broadcasting to strangers and more about making it easier to show up daily for a few close people. That insight, combined with its founder and creator-led distribution engine across TikTok and Instagram, is how the team hopes to avoid the fate of many consumer social apps that surge quickly only to stall months later.

Still, the big questions remain: durability and depth. Can a daily photo-and-game app sustain 12-, 24-, or 36-month retention curves? Can Candle expand from lightweight prompts into a broader suite of “connection types” without bloating the experience? Ruber and CTO Chopra say that’s the roadmap: adding more ways to earn “sparks,” the app’s point system, for a wider range of interactions, and introducing richer features that promote consistency.

The seed money raised for the team’s earlier shopping app will now give Candle the resources to bring on more engineers, speed up experimentation, and scale faster. Existing backers, including Goodwater Capital, Pioneer Fund, Progression Fund, and Y Combinator, are fully behind the new direction, Ruber said.

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These days, new versions of AI chatbots don’t just launch; they’re unshackled and released to the public following government scrutiny. OpenAI’s new GPT-5.6 models were – like Anthropic’s Claude Mythos and Fable – apparently too powerful to just launch; but now, after some tinkering, they’re available to you, dear customer.

In practice, it simply means that the new GPT-5.6 models are very powerful and smarter than before. In its introductory post, OpenAI shared a bunch of graphs showing just how much better GPT-5.6 is than the competition, whilst using fewer tokens and generally costing less.

OK, great. But GPT-5.6 is not just one model; it comes in three distinct flavors: Sol, Terra, and Luna. So what do different kinds of users get, what should they pay for, and which models should they (mostly) use? Let’s dive in.

Free users get (almost) nothing

Sorry; if you’re not a paying customer, you’ll have to make do with OpenAI’s previous flagship model, GPT-5.5. Any sort of access to GPT-5.6 models requires a subscription of some sort. Fortunately, GPT-5.5 is still quite capable at most tasks, but if you want the best of the best, you’ll have to cough up the dough.

There’s an exception to this: Free and Go users can access GPT-5.6 through ChatGPT Work. More on that below.

If you’re a Plus or Business user, you can only get Sol (the most powerful model) at medium and higher effort settings. There’s another, higher level of performance called Sol Pro, but that’s only available for Pro and Enterprise users.

In terms of availability per one million tokens, the prices are: $5 input and $30 output for Sol. $2.5 input and $15 output for Terra, and $1 input and $6 output for Luna.

SEE ALSO: Visa is connecting with ChatGPT to let AI agents automatically make purchases

Sol, Terra, or Luna?

Why are there three models in the first place? Well, OpenAI always had a multi-tier model; for example, previously users were able to choose a “mini” version of the main model to get results done cheaper. Now, the model has been split into three tiers.

If you’re a paying customer, you’re free to use all three. But you know how it is in the world of LLMs: If you pick the smartest one, your usage limits will get hit faster (yes, there are always usage limits, even if you throw a ton of money at OpenAI).

In the simplest sense, GPT-5.6 Sol is the smartest model, Terra is in between (with roughly GPT-5.5 level of performance), and Luna is the cheapest, fastest, but also least capable of the bunch.

The breakdown is as follows: Terra is a “balanced” model for everyday work. That’s the one you should be asking most of your questions. Don’t underestimate it, though, as OpenAI claims it performs better than Anthropic’s Fable 5 in some cases.

Luna is cost-efficient, and should be used for easy, non crucial everyday tasks; think recipes and movie recommendations. Again, OpenAI says it outperforms Anthropic’s Opus 4.8 in some cases, so it’s not a slouch, either.

Sol should be reserved for coding, deep research, planning, and cybersecurity: The most demanding tasks. Of course it comes at a (literal) cost: While OpenAI claims it spends less tokens than Anthropic’s Fable 5, Sol will still hit usage limits a lot faster than the other variants.

Fun fact: If you ask GPT-5.5 about any of this, right now, it’ll give you completely wrong answers. Hopefully OpenAI will fix this soon.

Wait, what’s this ChatGPT Work thing, then?

Oh yeah, OpenAI also launched ChatGPT Work, which is a new agent in ChatGPT that can access and take actions on your apps and files, and work in the background until a task is finished. It’s powered by Codex (OpenAI’s software engineering agent) and GPT-5.6. Think about it as your buddy that will go through your emails and files, browse the web, fetch the relevant data, and create that presentation your boss wants before the day is done.

ChatGPT Work is rolling out to Pro, Enterprise and Edu users first on web and mobile; this will be expanded to Plus and Business users “over the next few days.”

On the desktop, Work is available for everyone, including Free users.

Oh, and one more thing: The fact that ChatGPT Work has a built-in browser also means that OpenAI is sunsetting its standalone web browser, Atlas. Sorry.

How about GPT Live?

GPT Live is a new version of ChatGPT Voice and it will show up when you start talking to ChatGPT.

We’ve covered this in more depth here, but the bottom line is that GPT Live can listen and speak at the same time, allowing it to keep up a more realistic conversation.

Wrapping it all up

The new GPT-5.6 model is smart. It comes in three flavors: Luna, Terra, and Sol, with Sol being the most capable variant, Luna the most affordable one, and Terra somewhere in the middle. You can currently only get them on paid tiers, unless you’re using ChatGPT Work on desktop. And ChatGPT Voice has also gotten smarter with GPT-Live underneath, a model that can listen and speak at the same time.

Topics Artificial Intelligence OpenAI

#GPT5.6 #Sol #Terra #Luna">GPT-5.6 Sol, Terra, and Luna are here. See which one’s best for you. These days, new versions of AI chatbots don’t just launch; they’re unshackled and released to the public following government scrutiny. OpenAI’s new GPT-5.6 models were – like Anthropic’s Claude Mythos and Fable – apparently too powerful to just launch; but now, after some tinkering, they’re available to you, dear customer.In practice, it simply means that the new GPT-5.6 models are very powerful and smarter than before. In its introductory post, OpenAI shared a bunch of graphs showing just how much better GPT-5.6 is than the competition, whilst using fewer tokens and generally costing less. OK, great. But GPT-5.6 is not just one model; it comes in three distinct flavors: Sol, Terra, and Luna. So what do different kinds of users get, what should they pay for, and which models should they (mostly) use? Let’s dive in. Free users get (almost) nothingSorry; if you’re not a paying customer, you’ll have to make do with OpenAI’s previous flagship model, GPT-5.5. Any sort of access to GPT-5.6 models requires a subscription of some sort. Fortunately, GPT-5.5 is still quite capable at most tasks, but if you want the best of the best, you’ll have to cough up the dough. There’s an exception to this: Free and Go users can access GPT-5.6 through ChatGPT Work. More on that below. If you’re a Plus or Business user, you can only get Sol (the most powerful model) at medium and higher effort settings. There’s another, higher level of performance called Sol Pro, but that’s only available for Pro and Enterprise users. In terms of availability per one million tokens, the prices are: input and output for Sol. .5 input and output for Terra, and input and output for Luna. SEE ALSO: Visa is connecting with ChatGPT to let AI agents automatically make purchases Sol, Terra, or Luna?Why are there three models in the first place? Well, OpenAI always had a multi-tier model; for example, previously users were able to choose a “mini” version of the main model to get results done cheaper. Now, the model has been split into three tiers. If you’re a paying customer, you’re free to use all three. But you know how it is in the world of LLMs: If you pick the smartest one, your usage limits will get hit faster (yes, there are always usage limits, even if you throw a ton of money at OpenAI). Mashable Light Speed In the simplest sense, GPT-5.6 Sol is the smartest model, Terra is in between (with roughly GPT-5.5 level of performance), and Luna is the cheapest, fastest, but also least capable of the bunch. The breakdown is as follows: Terra is a “balanced” model for everyday work. That’s the one you should be asking most of your questions. Don’t underestimate it, though, as OpenAI claims it performs better than Anthropic’s Fable 5 in some cases. Luna is cost-efficient, and should be used for easy, non crucial everyday tasks; think recipes and movie recommendations. Again, OpenAI says it outperforms Anthropic’s Opus 4.8 in some cases, so it’s not a slouch, either.Sol should be reserved for coding, deep research, planning, and cybersecurity: The most demanding tasks. Of course it comes at a (literal) cost: While OpenAI claims it spends less tokens than Anthropic’s Fable 5, Sol will still hit usage limits a lot faster than the other variants. Fun fact: If you ask GPT-5.5 about any of this, right now, it’ll give you completely wrong answers. Hopefully OpenAI will fix this soon.Wait, what’s this ChatGPT Work thing, then?Oh yeah, OpenAI also launched ChatGPT Work, which is a new agent in ChatGPT that can access and take actions on your apps and files, and work in the background until a task is finished. It’s powered by Codex (OpenAI’s software engineering agent) and GPT-5.6. Think about it as your buddy that will go through your emails and files, browse the web, fetch the relevant data, and create that presentation your boss wants before the day is done. ChatGPT Work is rolling out to Pro, Enterprise and Edu users first on web and mobile; this will be expanded to Plus and Business users “over the next few days.”On the desktop, Work is available for everyone, including Free users. Oh, and one more thing: The fact that ChatGPT Work has a built-in browser also means that OpenAI is sunsetting its standalone web browser, Atlas. Sorry. How about GPT Live?GPT Live is a new version of ChatGPT Voice and it will show up when you start talking to ChatGPT. We’ve covered this in more depth here, but the bottom line is that GPT Live can listen and speak at the same time, allowing it to keep up a more realistic conversation.Wrapping it all upThe new GPT-5.6 model is smart. It comes in three flavors: Luna, Terra, and Sol, with Sol being the most capable variant, Luna the most affordable one, and Terra somewhere in the middle. You can currently only get them on paid tiers, unless you’re using ChatGPT Work on desktop. And ChatGPT Voice has also gotten smarter with GPT-Live underneath, a model that can listen and speak at the same time. Topics Artificial Intelligence OpenAI #GPT5.6 #Sol #Terra #Luna

Fable – apparently too powerful to just launch; but now, after some tinkering, they’re available to you, dear customer.

In practice, it simply means that the new GPT-5.6 models are very powerful and smarter than before. In its introductory post, OpenAI shared a bunch of graphs showing just how much better GPT-5.6 is than the competition, whilst using fewer tokens and generally costing less.

OK, great. But GPT-5.6 is not just one model; it comes in three distinct flavors: Sol, Terra, and Luna. So what do different kinds of users get, what should they pay for, and which models should they (mostly) use? Let’s dive in.

Free users get (almost) nothing

Sorry; if you’re not a paying customer, you’ll have to make do with OpenAI’s previous flagship model, GPT-5.5. Any sort of access to GPT-5.6 models requires a subscription of some sort. Fortunately, GPT-5.5 is still quite capable at most tasks, but if you want the best of the best, you’ll have to cough up the dough.

There’s an exception to this: Free and Go users can access GPT-5.6 through ChatGPT Work. More on that below.

If you’re a Plus or Business user, you can only get Sol (the most powerful model) at medium and higher effort settings. There’s another, higher level of performance called Sol Pro, but that’s only available for Pro and Enterprise users.

In terms of availability per one million tokens, the prices are: $5 input and $30 output for Sol. $2.5 input and $15 output for Terra, and $1 input and $6 output for Luna.

SEE ALSO: Visa is connecting with ChatGPT to let AI agents automatically make purchases

Sol, Terra, or Luna?

Why are there three models in the first place? Well, OpenAI always had a multi-tier model; for example, previously users were able to choose a “mini” version of the main model to get results done cheaper. Now, the model has been split into three tiers.

If you’re a paying customer, you’re free to use all three. But you know how it is in the world of LLMs: If you pick the smartest one, your usage limits will get hit faster (yes, there are always usage limits, even if you throw a ton of money at OpenAI).

In the simplest sense, GPT-5.6 Sol is the smartest model, Terra is in between (with roughly GPT-5.5 level of performance), and Luna is the cheapest, fastest, but also least capable of the bunch.

The breakdown is as follows: Terra is a “balanced” model for everyday work. That’s the one you should be asking most of your questions. Don’t underestimate it, though, as OpenAI claims it performs better than Anthropic’s Fable 5 in some cases.

Luna is cost-efficient, and should be used for easy, non crucial everyday tasks; think recipes and movie recommendations. Again, OpenAI says it outperforms Anthropic’s Opus 4.8 in some cases, so it’s not a slouch, either.

Sol should be reserved for coding, deep research, planning, and cybersecurity: The most demanding tasks. Of course it comes at a (literal) cost: While OpenAI claims it spends less tokens than Anthropic’s Fable 5, Sol will still hit usage limits a lot faster than the other variants.

Fun fact: If you ask GPT-5.5 about any of this, right now, it’ll give you completely wrong answers. Hopefully OpenAI will fix this soon.

Wait, what’s this ChatGPT Work thing, then?

Oh yeah, OpenAI also launched ChatGPT Work, which is a new agent in ChatGPT that can access and take actions on your apps and files, and work in the background until a task is finished. It’s powered by Codex (OpenAI’s software engineering agent) and GPT-5.6. Think about it as your buddy that will go through your emails and files, browse the web, fetch the relevant data, and create that presentation your boss wants before the day is done.

ChatGPT Work is rolling out to Pro, Enterprise and Edu users first on web and mobile; this will be expanded to Plus and Business users “over the next few days.”

On the desktop, Work is available for everyone, including Free users.

Oh, and one more thing: The fact that ChatGPT Work has a built-in browser also means that OpenAI is sunsetting its standalone web browser, Atlas. Sorry.

How about GPT Live?

GPT Live is a new version of ChatGPT Voice and it will show up when you start talking to ChatGPT.

We’ve covered this in more depth here, but the bottom line is that GPT Live can listen and speak at the same time, allowing it to keep up a more realistic conversation.

Wrapping it all up

The new GPT-5.6 model is smart. It comes in three flavors: Luna, Terra, and Sol, with Sol being the most capable variant, Luna the most affordable one, and Terra somewhere in the middle. You can currently only get them on paid tiers, unless you’re using ChatGPT Work on desktop. And ChatGPT Voice has also gotten smarter with GPT-Live underneath, a model that can listen and speak at the same time.

Topics Artificial Intelligence OpenAI

#GPT5.6 #Sol #Terra #Luna">GPT-5.6 Sol, Terra, and Luna are here. See which one’s best for you.

These days, new versions of AI chatbots don’t just launch; they’re unshackled and released to the public following government scrutiny. OpenAI’s new GPT-5.6 models were – like Anthropic’s Claude Mythos and Fable – apparently too powerful to just launch; but now, after some tinkering, they’re available to you, dear customer.

In practice, it simply means that the new GPT-5.6 models are very powerful and smarter than before. In its introductory post, OpenAI shared a bunch of graphs showing just how much better GPT-5.6 is than the competition, whilst using fewer tokens and generally costing less.

OK, great. But GPT-5.6 is not just one model; it comes in three distinct flavors: Sol, Terra, and Luna. So what do different kinds of users get, what should they pay for, and which models should they (mostly) use? Let’s dive in.

Free users get (almost) nothing

Sorry; if you’re not a paying customer, you’ll have to make do with OpenAI’s previous flagship model, GPT-5.5. Any sort of access to GPT-5.6 models requires a subscription of some sort. Fortunately, GPT-5.5 is still quite capable at most tasks, but if you want the best of the best, you’ll have to cough up the dough.

There’s an exception to this: Free and Go users can access GPT-5.6 through ChatGPT Work. More on that below.

If you’re a Plus or Business user, you can only get Sol (the most powerful model) at medium and higher effort settings. There’s another, higher level of performance called Sol Pro, but that’s only available for Pro and Enterprise users.

In terms of availability per one million tokens, the prices are: $5 input and $30 output for Sol. $2.5 input and $15 output for Terra, and $1 input and $6 output for Luna.

SEE ALSO: Visa is connecting with ChatGPT to let AI agents automatically make purchases

Sol, Terra, or Luna?

Why are there three models in the first place? Well, OpenAI always had a multi-tier model; for example, previously users were able to choose a “mini” version of the main model to get results done cheaper. Now, the model has been split into three tiers.

If you’re a paying customer, you’re free to use all three. But you know how it is in the world of LLMs: If you pick the smartest one, your usage limits will get hit faster (yes, there are always usage limits, even if you throw a ton of money at OpenAI).

In the simplest sense, GPT-5.6 Sol is the smartest model, Terra is in between (with roughly GPT-5.5 level of performance), and Luna is the cheapest, fastest, but also least capable of the bunch.

The breakdown is as follows: Terra is a “balanced” model for everyday work. That’s the one you should be asking most of your questions. Don’t underestimate it, though, as OpenAI claims it performs better than Anthropic’s Fable 5 in some cases.

Luna is cost-efficient, and should be used for easy, non crucial everyday tasks; think recipes and movie recommendations. Again, OpenAI says it outperforms Anthropic’s Opus 4.8 in some cases, so it’s not a slouch, either.

Sol should be reserved for coding, deep research, planning, and cybersecurity: The most demanding tasks. Of course it comes at a (literal) cost: While OpenAI claims it spends less tokens than Anthropic’s Fable 5, Sol will still hit usage limits a lot faster than the other variants.

Fun fact: If you ask GPT-5.5 about any of this, right now, it’ll give you completely wrong answers. Hopefully OpenAI will fix this soon.

Wait, what’s this ChatGPT Work thing, then?

Oh yeah, OpenAI also launched ChatGPT Work, which is a new agent in ChatGPT that can access and take actions on your apps and files, and work in the background until a task is finished. It’s powered by Codex (OpenAI’s software engineering agent) and GPT-5.6. Think about it as your buddy that will go through your emails and files, browse the web, fetch the relevant data, and create that presentation your boss wants before the day is done.

ChatGPT Work is rolling out to Pro, Enterprise and Edu users first on web and mobile; this will be expanded to Plus and Business users “over the next few days.”

On the desktop, Work is available for everyone, including Free users.

Oh, and one more thing: The fact that ChatGPT Work has a built-in browser also means that OpenAI is sunsetting its standalone web browser, Atlas. Sorry.

How about GPT Live?

GPT Live is a new version of ChatGPT Voice and it will show up when you start talking to ChatGPT.

We’ve covered this in more depth here, but the bottom line is that GPT Live can listen and speak at the same time, allowing it to keep up a more realistic conversation.

Wrapping it all up

The new GPT-5.6 model is smart. It comes in three flavors: Luna, Terra, and Sol, with Sol being the most capable variant, Luna the most affordable one, and Terra somewhere in the middle. You can currently only get them on paid tiers, unless you’re using ChatGPT Work on desktop. And ChatGPT Voice has also gotten smarter with GPT-Live underneath, a model that can listen and speak at the same time.

Topics Artificial Intelligence OpenAI

#GPT5.6 #Sol #Terra #Luna
Microsoft may once again be struggling to keep up with its own climate goals, according to its 2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”

Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”

#Microsofts #carbon #emissions #percent #yearAI,Environment,Microsoft,News,Science,Tech">Microsoft’s carbon emissions went up 25 percent last yearMicrosoft may once again be struggling to keep up with its own climate goals, according to its 2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”#Microsofts #carbon #emissions #percent #yearAI,Environment,Microsoft,News,Science,Tech

2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”

Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”

#Microsofts #carbon #emissions #percent #yearAI,Environment,Microsoft,News,Science,Tech">Microsoft’s carbon emissions went up 25 percent last year

Microsoft may once again be struggling to keep up with its own climate goals, according to its 2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”

Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”

#Microsofts #carbon #emissions #percent #yearAI,Environment,Microsoft,News,Science,Tech
India on Thursday approved a manufacturing joint venture between China’s Vivo and local manufacturer Dixon Technologies, a move that could mark the next phase of the country’s smartphone manufacturing boom after Apple helped turn India into a global smartphone production hub.

The approval allows Vivo to proceed with a long-delayed manufacturing partnership first announced in December 2024, after New Delhi cleared the investment under investment rules introduced in 2020 that require extra government scrutiny of investment from countries sharing a land border with India — a category that includes China. The joint venture will acquire certain manufacturing assets from Vivo, manufacture part of the company’s smartphone orders in India, and can also produce electronic products for other brands, according to a stock exchange filing by Noida-based Dixon.

The 51/49 venture — majority-owned by Dixon, with Vivo holding the remaining stake — reflects a broader shift in how Chinese smartphone brands are expanding manufacturing in India through local partnerships. For an industry watching how governments referee the relationship between Chinese capital and domestic manufacturing, the structure, analysts believe, could become a template for similar arrangements across the industry, helping broaden India’s smartphone manufacturing story beyond Apple.

Over the past few years, India has emerged as a major global smartphone manufacturing hub as Apple and its suppliers expanded iPhone production in the country while diversifying supply chains beyond China. Government incentives have also helped attract global electronics manufacturers, boosting the country’s role in global smartphone production.

Apple spent years building its manufacturing footprint in India and today accounts for 57% of the country’s smartphone exports by volume, according to Counterpoint Research’s data shared with TechCrunch. Chinese brands, on the other hand, dominate India’s smartphone market sales with 72% of the market, but contribute less than 10% of exports, a gap that shows how much upside is still on the table if they start exporting from India the way Apple does.

Apple’s India manufacturing expansion has largely been driven by suppliers such as Foxconn and Tata. Chinese smartphone brands, meanwhile, are increasingly exploring partnerships with Indian companies after New Delhi tightened investment rules for neighboring countries following the 2020 border clashes with China. Several of those companies, including Oppo, Vivo, and Xiaomi, have also faced tax and regulatory investigations in India in recent years, which helps explain why ceding majority control to an Indian partner is now looking like the more sustainable path forward.

Local partnerships such as the Dixon-Vivo venture offer Chinese brands a more stable operating model, while aligning with India’s push for greater local participation in electronics manufacturing, said Tarun Pathak, research director at Counterpoint Research.

“The approval of this joint venture creates a win-win for both players,” Pathak told TechCrunch. He added that the majority-Indian-owned structure provides Vivo with greater policy alignment while giving Dixon the scale to deepen local value addition and pursue exports.

Vivo has manufactured and exported smartphones from India for years, but the approved venture marks a shift toward a majority Indian-owned manufacturing structure as the market leader deepens its footprint in the world’s second-largest smartphone market. The Chinese smartphone vendor retained the top spot in India’s smartphone market with a 23% shipment share in Q1, per Counterpoint.

For Dixon, India’s largest electronics manufacturing services company, the venture could add annualized manufacturing volumes of about 20 million to 22 million smartphones, based on Vivo’s current sales, according to comments by Managing Director Atul Lall during the company’s May earnings call. That’s a meaningful volume bump for a public company whose growth increasingly hinges on winning exactly these kinds of manufacturing contracts.

Dixon already manufactures smartphones for Xiaomi, suggesting the Vivo venture builds on an expanding role as a manufacturing partner for both global and Chinese smartphone brands in India, and reinforces its position as one of the more reliable bets in India’s electronics build-out.

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#Apple #Indias #smartphone #manufacturing #boom #enters #phase #Vivo #TechCrunchDixon,vivo">After Apple, India’s smartphone manufacturing boom enters new phase with Vivo JV | TechCrunch India on Thursday approved a manufacturing joint venture between China’s Vivo and local manufacturer Dixon Technologies, a move that could mark the next phase of the country’s smartphone manufacturing boom after Apple helped turn India into a global smartphone production hub. The approval allows Vivo to proceed with a long-delayed manufacturing partnership first announced in December 2024, after New Delhi cleared the investment under investment rules introduced in 2020 that require extra government scrutiny of investment from countries sharing a land border with India — a category that includes China. The joint venture will acquire certain manufacturing assets from Vivo, manufacture part of the company’s smartphone orders in India, and can also produce electronic products for other brands, according to a stock exchange filing by Noida-based Dixon. The 51/49 venture — majority-owned by Dixon, with Vivo holding the remaining stake — reflects a broader shift in how Chinese smartphone brands are expanding manufacturing in India through local partnerships. For an industry watching how governments referee the relationship between Chinese capital and domestic manufacturing, the structure, analysts believe, could become a template for similar arrangements across the industry, helping broaden India’s smartphone manufacturing story beyond Apple. Over the past few years, India has emerged as a major global smartphone manufacturing hub as Apple and its suppliers expanded iPhone production in the country while diversifying supply chains beyond China. Government incentives have also helped attract global electronics manufacturers, boosting the country’s role in global smartphone production. Apple spent years building its manufacturing footprint in India and today accounts for 57% of the country’s smartphone exports by volume, according to Counterpoint Research’s data shared with TechCrunch. Chinese brands, on the other hand, dominate India’s smartphone market sales with 72% of the market, but contribute less than 10% of exports, a gap that shows how much upside is still on the table if they start exporting from India the way Apple does. Apple’s India manufacturing expansion has largely been driven by suppliers such as Foxconn and Tata. Chinese smartphone brands, meanwhile, are increasingly exploring partnerships with Indian companies after New Delhi tightened investment rules for neighboring countries following the 2020 border clashes with China. Several of those companies, including Oppo, Vivo, and Xiaomi, have also faced tax and regulatory investigations in India in recent years, which helps explain why ceding majority control to an Indian partner is now looking like the more sustainable path forward. Local partnerships such as the Dixon-Vivo venture offer Chinese brands a more stable operating model, while aligning with India’s push for greater local participation in electronics manufacturing, said Tarun Pathak, research director at Counterpoint Research. “The approval of this joint venture creates a win-win for both players,” Pathak told TechCrunch. He added that the majority-Indian-owned structure provides Vivo with greater policy alignment while giving Dixon the scale to deepen local value addition and pursue exports. Vivo has manufactured and exported smartphones from India for years, but the approved venture marks a shift toward a majority Indian-owned manufacturing structure as the market leader deepens its footprint in the world’s second-largest smartphone market. The Chinese smartphone vendor retained the top spot in India’s smartphone market with a 23% shipment share in Q1, per Counterpoint. For Dixon, India’s largest electronics manufacturing services company, the venture could add annualized manufacturing volumes of about 20 million to 22 million smartphones, based on Vivo’s current sales, according to comments by Managing Director Atul Lall during the company’s May earnings call. That’s a meaningful volume bump for a public company whose growth increasingly hinges on winning exactly these kinds of manufacturing contracts. Dixon already manufactures smartphones for Xiaomi, suggesting the Vivo venture builds on an expanding role as a manufacturing partner for both global and Chinese smartphone brands in India, and reinforces its position as one of the more reliable bets in India’s electronics build-out. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Apple #Indias #smartphone #manufacturing #boom #enters #phase #Vivo #TechCrunchDixon,vivo

first announced in December 2024, after New Delhi cleared the investment under investment rules introduced in 2020 that require extra government scrutiny of investment from countries sharing a land border with India — a category that includes China. The joint venture will acquire certain manufacturing assets from Vivo, manufacture part of the company’s smartphone orders in India, and can also produce electronic products for other brands, according to a stock exchange filing by Noida-based Dixon.

The 51/49 venture — majority-owned by Dixon, with Vivo holding the remaining stake — reflects a broader shift in how Chinese smartphone brands are expanding manufacturing in India through local partnerships. For an industry watching how governments referee the relationship between Chinese capital and domestic manufacturing, the structure, analysts believe, could become a template for similar arrangements across the industry, helping broaden India’s smartphone manufacturing story beyond Apple.

Over the past few years, India has emerged as a major global smartphone manufacturing hub as Apple and its suppliers expanded iPhone production in the country while diversifying supply chains beyond China. Government incentives have also helped attract global electronics manufacturers, boosting the country’s role in global smartphone production.

Apple spent years building its manufacturing footprint in India and today accounts for 57% of the country’s smartphone exports by volume, according to Counterpoint Research’s data shared with TechCrunch. Chinese brands, on the other hand, dominate India’s smartphone market sales with 72% of the market, but contribute less than 10% of exports, a gap that shows how much upside is still on the table if they start exporting from India the way Apple does.

Apple’s India manufacturing expansion has largely been driven by suppliers such as Foxconn and Tata. Chinese smartphone brands, meanwhile, are increasingly exploring partnerships with Indian companies after New Delhi tightened investment rules for neighboring countries following the 2020 border clashes with China. Several of those companies, including Oppo, Vivo, and Xiaomi, have also faced tax and regulatory investigations in India in recent years, which helps explain why ceding majority control to an Indian partner is now looking like the more sustainable path forward.

Local partnerships such as the Dixon-Vivo venture offer Chinese brands a more stable operating model, while aligning with India’s push for greater local participation in electronics manufacturing, said Tarun Pathak, research director at Counterpoint Research.

“The approval of this joint venture creates a win-win for both players,” Pathak told TechCrunch. He added that the majority-Indian-owned structure provides Vivo with greater policy alignment while giving Dixon the scale to deepen local value addition and pursue exports.

Vivo has manufactured and exported smartphones from India for years, but the approved venture marks a shift toward a majority Indian-owned manufacturing structure as the market leader deepens its footprint in the world’s second-largest smartphone market. The Chinese smartphone vendor retained the top spot in India’s smartphone market with a 23% shipment share in Q1, per Counterpoint.

For Dixon, India’s largest electronics manufacturing services company, the venture could add annualized manufacturing volumes of about 20 million to 22 million smartphones, based on Vivo’s current sales, according to comments by Managing Director Atul Lall during the company’s May earnings call. That’s a meaningful volume bump for a public company whose growth increasingly hinges on winning exactly these kinds of manufacturing contracts.

Dixon already manufactures smartphones for Xiaomi, suggesting the Vivo venture builds on an expanding role as a manufacturing partner for both global and Chinese smartphone brands in India, and reinforces its position as one of the more reliable bets in India’s electronics build-out.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Apple #Indias #smartphone #manufacturing #boom #enters #phase #Vivo #TechCrunchDixon,vivo">After Apple, India’s smartphone manufacturing boom enters new phase with Vivo JV | TechCrunch

India on Thursday approved a manufacturing joint venture between China’s Vivo and local manufacturer Dixon Technologies, a move that could mark the next phase of the country’s smartphone manufacturing boom after Apple helped turn India into a global smartphone production hub.

The approval allows Vivo to proceed with a long-delayed manufacturing partnership first announced in December 2024, after New Delhi cleared the investment under investment rules introduced in 2020 that require extra government scrutiny of investment from countries sharing a land border with India — a category that includes China. The joint venture will acquire certain manufacturing assets from Vivo, manufacture part of the company’s smartphone orders in India, and can also produce electronic products for other brands, according to a stock exchange filing by Noida-based Dixon.

The 51/49 venture — majority-owned by Dixon, with Vivo holding the remaining stake — reflects a broader shift in how Chinese smartphone brands are expanding manufacturing in India through local partnerships. For an industry watching how governments referee the relationship between Chinese capital and domestic manufacturing, the structure, analysts believe, could become a template for similar arrangements across the industry, helping broaden India’s smartphone manufacturing story beyond Apple.

Over the past few years, India has emerged as a major global smartphone manufacturing hub as Apple and its suppliers expanded iPhone production in the country while diversifying supply chains beyond China. Government incentives have also helped attract global electronics manufacturers, boosting the country’s role in global smartphone production.

Apple spent years building its manufacturing footprint in India and today accounts for 57% of the country’s smartphone exports by volume, according to Counterpoint Research’s data shared with TechCrunch. Chinese brands, on the other hand, dominate India’s smartphone market sales with 72% of the market, but contribute less than 10% of exports, a gap that shows how much upside is still on the table if they start exporting from India the way Apple does.

Apple’s India manufacturing expansion has largely been driven by suppliers such as Foxconn and Tata. Chinese smartphone brands, meanwhile, are increasingly exploring partnerships with Indian companies after New Delhi tightened investment rules for neighboring countries following the 2020 border clashes with China. Several of those companies, including Oppo, Vivo, and Xiaomi, have also faced tax and regulatory investigations in India in recent years, which helps explain why ceding majority control to an Indian partner is now looking like the more sustainable path forward.

Local partnerships such as the Dixon-Vivo venture offer Chinese brands a more stable operating model, while aligning with India’s push for greater local participation in electronics manufacturing, said Tarun Pathak, research director at Counterpoint Research.

“The approval of this joint venture creates a win-win for both players,” Pathak told TechCrunch. He added that the majority-Indian-owned structure provides Vivo with greater policy alignment while giving Dixon the scale to deepen local value addition and pursue exports.

Vivo has manufactured and exported smartphones from India for years, but the approved venture marks a shift toward a majority Indian-owned manufacturing structure as the market leader deepens its footprint in the world’s second-largest smartphone market. The Chinese smartphone vendor retained the top spot in India’s smartphone market with a 23% shipment share in Q1, per Counterpoint.

For Dixon, India’s largest electronics manufacturing services company, the venture could add annualized manufacturing volumes of about 20 million to 22 million smartphones, based on Vivo’s current sales, according to comments by Managing Director Atul Lall during the company’s May earnings call. That’s a meaningful volume bump for a public company whose growth increasingly hinges on winning exactly these kinds of manufacturing contracts.

Dixon already manufactures smartphones for Xiaomi, suggesting the Vivo venture builds on an expanding role as a manufacturing partner for both global and Chinese smartphone brands in India, and reinforces its position as one of the more reliable bets in India’s electronics build-out.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Apple #Indias #smartphone #manufacturing #boom #enters #phase #Vivo #TechCrunchDixon,vivo

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