Latest news with #MountainView
Yahoo
2 days ago
- Business
- Yahoo
Here's Why Pure Storage (PSTG) is a Strong Growth Stock
It doesn't matter your age or experience: taking full advantage of the stock market and investing with confidence are common goals for all investors. Many investors also have a go-to methodology that helps guide their buy and sell decisions. One way to find winning stocks based on your preferred way of investing is to use the Zacks Style Scores, which are indicators that rate stocks based on three widely-followed investing types: value, growth, and momentum. Different than value or momentum investors, growth-oriented investors are concerned with a stock's future prospects, and the overall financial health and strength of a company. Thus, they'll want to focus on the Growth Style Score, which analyzes characteristics like projected and historical earnings, sales, and cash flow to find stocks that will see sustainable growth over time. Founded in 2009 and headquartered in Mountain View, CA, Pure Storage Inc. (PSTG) provides software-defined all-flash solutions that are uniquely fast and cloud-capable for customers. PSTG boasts a Growth Style Score of A and VGM Score of B, and holds a Zacks Rank #3 (Hold) rating. Its bottom-line is projected to rise 7.1% year-over-year for 2026, while Wall Street anticipates its top line to improve by 11%. Six analysts revised their earnings estimate upwards in the last 60 days, and the Zacks Consensus Estimate has increased $0.09 to $1.81 per share for 2026. PSTG boasts an average earnings surprise of 13.8%. Looking at cash flow, Pure Storage is expected to report cash flow growth of 10% this year; PSTG has generated cash flow growth of 53.6% over the past three to five years. PSTG should be on investors' short lists because of its impressive growth fundamentals, a good Zacks Rank, and strong Growth and VGM Style Scores. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Pure Storage, Inc. (PSTG) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research
Forbes
3 days ago
- Business
- Forbes
The Y Combinator Question And Is Silicon Valley's Kingmaker Playing A Different Game In The AI Era?
Sign with logos for Google and the Google owned video streaming service YouTube at the Googleplex, ... More the Silicon Valley headquarters of search engine and technology company Google Inc in Mountain View, California, April 14, 2018. (Photo by Smith Collection/Gado/Getty Images) The YC demo day numbers present a fascinating puzzle. Y Combinator's first ever Spring 2025 batch at their new HQ showcased 141 startups with an average weekly revenue growth of 12%, marking another impressive milestone for the accelerator that gave the world Airbnb, Stripe, and Dropbox. More than 18000 startups applied, and at the 0.8% accept rate, the prestige and hype seem to be at the all time high .Yet these metrics show a more intriguing question that has venture capitalists and industry observers scratching their heads. According to a recent debate on LinkedIn, since 2018 and fundamental changes the rules of artificial intelligence, thirty-seven companies have achieved unicorn status in the generative AI space. The curious fact? Zero went through Y Combinator. Some investors are debating the value of the YC badge premium, reflected in the valuation and its multiple. At first glance, this seems like a damning indictment. YC invests in approximately five hundred startups annually, with nearly ninety percent of recent cohorts being GenAI companies. Yet their unicorn count in this space remains conspicuously absent. But what if this apparent failure actually reveals something more sophisticated about YC's long-term strategy? The most immediate explanation lies in the fundamental economics of the AI revolution. Infrastructure plays in generative AI require massive capital outlays that dwarf traditional software startups. When foundation model development demands one hundred million dollars or more in computational resources, YC's standard investment amounts become challenging to scale to unicorn status through traditional pathways. OpenAI's billion-dollar funding rounds and Anthropic's multi-billion dollar war chest have created an entirely new category of competition. But this capital intensity might actually validate YC's approach rather than undermine it. While others chase the expensive infrastructure plays, YC may be positioning itself for the inevitable wave of application-layer innovations that will follow. History suggests that the most sustainable value creation often occurs not in the foundational technologies themselves, but in the creative applications built on top of them. The internet's biggest winners weren't the infrastructure providers, but companies like Amazon and Google that leveraged existing infrastructure in novel ways. YC's apparent focus on AI application companies might reflect a sophisticated understanding of technology adoption cycles. The current GenAI unicorns are primarily infrastructure and foundation model companies—impressive technical achievements, but potentially vulnerable to commoditization as the technology matures. The Spring 2025 batch revealed interesting patterns: companies building "Cursor for X" applications, vertical AI solutions for specific industries, and novel consumer AI experiences. While these may seem less ambitious than training new foundation models, they could represent the real long-term value creation opportunities in AI. Consider that Microsoft's massive investment in OpenAI has generated more value through integration with existing products like Office and Azure than OpenAI has captured independently. The application layer may prove to be where the most durable competitive advantages emerge. YC's investment timing might be more strategic than it appears. The accelerator is known for entering markets before they become obviously attractive to larger investors. Their absence from the current crop of GenAI unicorns could signal that they view the current wave as overvalued infrastructure plays rather than sustainable business models. The companies achieving unicorn status in GenAI today are doing so primarily on potential rather than proven business fundamentals. Many face uncertain unit economics, regulatory challenges, and intense competition from well-funded incumbents. YC's focus on companies with demonstrated revenue growth and clear paths to profitability might prove prescient as the market matures. The accelerator's emphasis on weekly growth metrics, while sometimes criticized as short-term thinking, could actually provide better risk-adjusted returns than the massive bets being placed on unproven AI infrastructure companies. Perhaps most intriguingly, YC's approach might reflect a belief in AI democratization rather than concentration. While current GenAI unicorns represent centralized, capital-intensive approaches to AI, YC's portfolio companies seem to be building tools that make AI accessible to smaller businesses and individual creators. This democratization thesis aligns with YC's historical pattern of betting on technologies that empower individuals and small businesses rather than reinforcing existing power structures. The real AI revolution might not be in building bigger models, but in making AI capabilities accessible to everyone. The rise of companies building AI development tools, specialized vertical applications, and consumer-focused AI experiences suggests YC might be positioning for a future where AI capability is distributed rather than concentrated in a few large foundation model providers. YC's absence from current GenAI unicorns might reflect a longer investment horizon than the market currently appreciates. The accelerator has historically succeeded by identifying sustainable business models rather than chasing technological trends. Their current AI investments might be targeting the second or third wave of AI innovation rather than the first. The most successful technology investors often appear to be "missing out" during peak hype cycles, only to emerge with superior returns as markets mature and fundamentals matter more than speculation. YC's cautious approach to infrastructure-heavy AI plays might prove to be shrewd risk management rather than strategic blindness. Furthermore, the three-month accelerator program might be perfectly suited for AI application companies that can iterate quickly and validate market demand, even if it's inadequate for companies requiring years of research and development. While YC hasn't produced GenAI unicorns, their portfolio companies are generating impressive revenue growth and solving real customer problems. The Spring 2025 batch's 12% weekly growth rate suggests that practical AI applications might offer more predictable returns than moonshot infrastructure investments. The accelerator's focus on revenue-generating AI companies, rather than pure research plays, might reflect a sophisticated understanding of what creates lasting value in technology markets. Companies that can demonstrate clear customer demand and sustainable unit economics often outperform those built on technological prowess alone. This approach also provides more diversified risk exposure. Rather than making massive bets on a few infrastructure companies that could be disrupted by new research breakthroughs, YC is building a portfolio of application companies that can adapt to changing technological foundations. The absence of YC companies among current GenAI unicorns raises broader questions about how innovation emerges and scales in different technology cycles. Perhaps the current wave of GenAI unicorns represents an anomaly rather than the new normal—companies that achieved massive valuations based on technical capability during a period of abundant capital and speculative enthusiasm. As the market matures and focuses more on sustainable business models, YC's emphasis on practical applications and proven revenue generation might prove to be the winning strategy. The real test won't be who achieved unicorn status first, but who builds lasting, profitable businesses that create genuine value for customers. Ultimately, the success of YC's AI strategy will be measured not by participation in the current unicorn race, but by the long-term performance of their portfolio companies. If the current GenAI unicorns prove to be overvalued infrastructure plays with questionable business models, YC's focus on practical applications could generate superior returns. The Spring 2025 batch's strong revenue growth metrics suggest that YC's AI companies are building real businesses with paying customers rather than pursuing valuation-driven strategies - despite the fact that 70% applied with $0 revenue, and nearly half had only an idea. This focus on fundamentals might seem unexciting compared to billion-dollar foundation model funding rounds, but it could prove to be the more sustainable approach. The accelerator's track record suggests they excel at identifying business models that can scale efficiently rather than technologies that generate headlines. Their current AI portfolio might be optimized for long-term value creation rather than short-term valuation maximization. YC's approach might reflect strategic patience rather than strategic confusion. The accelerator has consistently succeeded by entering markets at optimal times rather than being first movers. Their absence from the current GenAI unicorn wave could indicate they're waiting for better entry points or more attractive business models to emerge. The history of technology adoption suggests that the most valuable companies often emerge in the second or third waves of innovation, after the initial infrastructure has been built and market needs become clearer. YC's current AI investments might be positioning for this later wave rather than trying to compete with well-funded infrastructure plays. This patience could prove particularly valuable if the current GenAI market experiences a correction or consolidation. Companies with strong fundamentals and efficient capital structures might be better positioned to survive market downturns than highly valued infrastructure plays with uncertain business models. Whether YC's AI strategy proves brilliant or misguided remains to be seen. The accelerator's absence from current GenAI unicorns could represent either a missed opportunity or sophisticated market timing. The answer will depend on how the AI market evolves and whether sustainable business models emerge from the current wave of infrastructure investment. What's clear is that YC continues to attract strong founders and generate impressive portfolio company metrics. The Spring 2025 batch's performance suggests that their approach is creating real value, even if it's not generating the headline-grabbing valuations of foundation model companies. The ultimate test will be whether YC's focus on practical AI applications and sustainable business models generates better risk-adjusted returns than the massive infrastructure bets being made elsewhere in the market. Only time will tell if Silicon Valley's kingmaker is missing the AI revolution or positioning for its next phase. As the AI landscape continues to evolve, YC's strategy might prove to be exactly what the market needs: a focus on building real businesses that solve actual problems, rather than chasing technological breakthroughs with uncertain commercial applications. The proof, as they say, will be in the pudding.
Android Authority
3 days ago
- Business
- Android Authority
Google's updated Gemini 2.5 Flash pricing is good news and bad news
TL;DR Gemini 2.5 Flash-Lite is rolling out in preview. The stable versions of Gemini 2.5 Flash and Pro are also rolling out. The cost of input for Flash has gone up by $0.15, but the output has been reduced by $1.00. Google introduced Gemini 2.5 earlier this year, with Pro (experimental) being the first model in the series. A couple of months later, the company rolled out a faster model in early access, known as Gemini 2.5 Flash. Now the firm has an update on these two models and is launching an even faster model in preview. It may be hard to keep track of all the different Gemini models at this point, but Google is debuting a third model in the 2.5 line. This model is called Gemini 2.5 Flash-Lite and is said to have the lowest latency and cost in the family. According to Google, this model is best for 'high throughput tasks like classification or summarization at scale.' Like Gemini 2.5 Pro and Flash, Flash-Lite is described as a reasoning model. This means it's capable of reasoning through its thoughts before responding for better accuracy. Unlike the other two models, Google says 'thinking' is turned off by default on Flash-Lite since cost and speed are the focus. However, the model 'allows for dynamic control of the thinking budget with an API parameter.' Meanwhile, the Mountain View-based firm is now making Gemini 2.5 Pro and Flash stable and generally available. Along with going stable, Google says it's updating the pricing for Flash. The cost for input is going up by $0.15, while the output cost has been reduced from $3.50 to $2.50. You can continue using the existing pricing scheme for 2.5 Flash Preview or 2.5 Pro Preview until the depreciation date. For 2.5 Pro Preview, the depreciation date will be June 19, 2025. You'll have until July 15, 2025, before Google shuts down 2.5 Flash Preview. Got a tip? Talk to us! Email our staff at Email our staff at news@ . You can stay anonymous or get credit for the info, it's your choice.
CNA
3 days ago
- Automotive
- CNA
Applied Intuition valued at $15 billion for autonomous vehicle tech
Applied Intuition raised $600 million in a funding round and tender offer that valued the automotive software supplier at $15 billion, more than doubling its valuation from last year in a sign of strong investment appetite for autonomous vehicle technology. The round was co-led by BlackRock-managed funds and accounts alongside venture capital firm Kleiner Perkins. New investors included Franklin Templeton and Qatar Investment Authority, the company said on Tuesday. In the previous round in March last year, the company was valued at $6 billion and included funding from Porsche, in what was the first time the startup raised money from an automaker. The funds will help Applied Intuition double down on investments in autonomous technology at a time when companies across the sector attempt to ramp up their push for self-driving cars. "We're scaling up our investments in bringing intelligence into every moving machine," said Qasar Younis, co-founder and CEO of Applied Intuition. The rollout of self-driving technology is also likely to benefit from more relaxed regulations under the Trump administration, which intends to exempt certain vehicles from select safety standards and simplify the norms for reporting safety incidents. Founded in 2017, Applied Intuition provides software solutions to help build autonomous systems for vehicles such as cars and trucks alongside its work for the U.S. government focusing on defense applications. The Mountain View, California-based company, whose customers include Toyota and Volkswagen, also partnered with ChatGPT-maker OpenAI last week, aiming to leverage AI to personalize driving experience.
CNA
3 days ago
- Automotive
- CNA
Applied Intuition valued at $15 billion in latest fund raise
Applied Intuition secured a $15 billion valuation in a funding round where it raised $600 million, the automotive software supplier said on Tuesday, signaling a strong investment appetite for commercialized autonomous vehicle technology. The funding was co-led by BlackRock-managed funds and accounts alongside venture capital firm Kleiner Perkins. New investors included Franklin Templeton and Qatar Investment Authority, the company said. The funds will help Applied Intuition double down on investments in autonomous technology at a time when companies across the auto sector attempt to ramp up their push for self-driving cars. "We're scaling up our investments in bringing intelligence into every moving machine," said Qasar Younis, co-founder and CEO of Applied Intuition. The Mountain View, California-based company, whose customers include Toyota and Volkswagen, also partnered with ChatGPT-maker OpenAI last week, aiming to leverage AI to personalize driving experience.
