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City of Longview to spend $27,000,000.00 to occupy 70,880 square feet of space in Longview Texas.

Longview, Texas — According to state and local economic development sources City of Longview plans to invest $27,000,000.00 to build out 70,880 square feet of new space in Longview. The company plans to occupy the new…

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RevenueCat, the leading platform for managing consumer app monetization, has announced it has raised a $50 million Series C round led by Bain Capital Ventures (BCV). Returning investors Index Ventures, Y Combinator, Adjacent, Volo Ventures and SaaStr Fund also participated. This adds to the prior $12 million Series C that was raised last year, bringing the total raised to $100 million to date. Building a robust monetization stack can be notoriously challenging. For developers, code can be hard to write, time-consuming to maintain and full of edge cases. For product and marketing teams, having a full view of business performance is hard to find and adjust in one place. RevenueCat enables engineers to build features simply, plus provides analytics, integrations and tools to grow. Product and marketing teams can obtain deep customer analytics to make data-driven decisions and grow revenue, with tools to manage pricing, customers and experiments. In turn, consumers can easily pay anywhere and access their purchases from every device.

In a statement Jacob Eiting, CEO and co-founder of RevenueCat said, “Developers deserve a frictionless way to make money, and nobody has approached this with our level of focus” “We’re already assisting more annual app revenue than existed in the entire ecosystem when we started in 2017. The market has grown 10x, and I expect another 10x over the next decade. By staying radically focused on helping developers get paid, I believe we can build a generational public company.”

RevenueCat’s rapid product expansion means the company is well-posed to help apps navigate changes in consumer software monetization. Given the recent ruling that developers may now use non-in-app-purchases in the USA on iOS, there’s an opportunity to save significant money in platform fees by sending users to a web checkout page instead. In response to this major mobile monetization development, RevenueCat shipped its Web Paywall Button, giving developers a drop‑in way to A/B‑test external payments versus in‑app purchases while easily targeting eligible users. RevenueCat’s global, remote-first team now spans 18 countries and counts over 100 teammates. The company pays U.S. market salaries worldwide, attracting top talent regardless of location. With fresh capital in hand, RevenueCat plans to scale product development and make strategic hires to meet booming developer demand across AI, gaming, productivity and beyond.

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AI might be great at helping engineers write code, but it’s creating a new problem – all that code still needs to be reviewed by humans. CodeAnt AI is stepping in with a solution that uses AI to tackle the review process itself, raising $2 million in seed funding to help engineering teams move faster without sacrificing quality or security. The funding, CodeAnt AI’s first institutional round, values the company at $20 million. It will be used to expand the engineering and business development teams and to scale CodeAnt AI’s code quality and application security platform. For engineering teams already feeling the pressure to ship faster, the investment comes at the perfect time. The funding round was led by Y Combinator, VitalStage Ventures, and Uncorrelated Ventures, and with participation from DeVC, Transpose Platform, Entrepreneur First, and a number of marquee angel investors.

In a statement, Amartya Jha, Co-founder and CEO of CodeAnt AI said, “As AI-driven coding becomes widespread, the real bottleneck isn’t writing code — it’s reviewing it,” “Today, when a developer submits a change request, it often sits idle for hours or even days waiting for peer review. And even when a reviewer does pick it up, they rarely have full context of the code change. This is a critical risk point: most software bugs and vulnerabilities slip through at the peer review stage, where issues could have been caught early and cheaply.”

As AI continues to transform how code gets written, CodeAnt AI is positioning itself as the bridge to a future where code can be both rapidly created and confidently deployed. The founders envision a world where AI doesn’t just help developers write code faster, but also ensures that every line shipped to production is secure, efficient, and ready for the real world – giving engineering teams the confidence to move at the speed their businesses demand.

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