Reddit is intensifying its ambition to become a primary search engine by unifying its traditional search with Reddit Answers, an AI-powered Q&A tool now serving 6 million users across a dozen countries. CEO Steve Huffman announced that a newly prominent search box and global rollout of Reddit Answers are core to this plan, leveraging Reddit’s vast community-generated knowledge. With over 70 million weekly search users, the company’s Q2 revenue soared 78% to $500 million, driven mainly by ads and new AI-powered marketing tools that let brands tap into real-time community trends and sentiments, strengthening Reddit’s position in the search and advertising landscape
Google has launched Gemini 2.5 Deep Think, its most advanced multi-agent AI model, exclusively for AI Ultra subscribers. Priced at $249.99/month, Deep Think sets a new benchmark in parallel reasoning, outperforming OpenAI and xAI on tests like Humanity’s Last Exam and LiveCodeBench V6. The model’s unique parallel thinking allows it to explore multiple solutions at once, boosting problem-solving power, especially in math and coding challenges. While a research variant won gold at the 2025 International Mathematical Olympiad, the consumer version delivers faster, bronze-level performance on similar tasks.
Italy’s antitrust regulator, AGCM, has launched a formal investigation into Meta Platforms for allegedly abusing its dominant market position by embedding its AI assistant directly into WhatsApp without explicit user consent. Integrated since March 2025, Meta AI appears in the app’s search bar, offering virtual assistant features. The authority suspects this practice forces users into Meta’s AI ecosystem, potentially stifling fair competition and disadvantaging rival AI providers. Inspections were conducted at Meta’s Italian offices. Meta defends the integration as user-friendly and cooperative with regulators. Violations could trigger EU fines up to 10% of global turnover
Bitcoin has nearly doubled in value over the past year, recently touching $123K before settling around $116K. Unlike past rallies, this surge is being driven by growing institutional demand, massive ETF inflows, and rising adoption from major firms like BlackRock and GameStop. Spot Bitcoin ETFs traded on U.S. exchanges have now amassed more than $150 billion in assets. Meanwhile, Congress is actively discussing crypto regulation during “Crypto Week,” with bills that may reshape the legal landscape. The proposed Clarity Act could finally provide clear oversight, giving the CFTC control over digital commodities like Bitcoin — paving the way for broader institutional involvement.
After years of struggling to find accurate data on global consumer behavior, Joseph Rutakangwa launched Rwazi in 2021 to solve the problem. The startup has now secured $12 million in Series A funding led by Bonfire Ventures. Rwazi offers companies real-time, voluntarily shared data directly from consumers — also known as zero-party data—instead of relying on outdated reports or surveys. With operations in 190+ countries and clients like Coca-Cola and Visa, the company plans to scale its AI tools and expand its engineering team to better serve global markets.
Have you ever thought that a failed startup could be the stepping stone to building a billion-dollar business? Such is the story of Spencer Skates, who built a $1.4 billion product analytics company called Amplitude — and that too after his first company failed.
His journey is not just the story of an AI product or a tech startup , but a roadmap that every aspiring founder can learn from.
The Startup Failed… And That’s Where the Billion Dollar Idea Came From!
Spencer had previously built a voice-to-text startup called Sonalight, which failed. But during this time he noticed that he was not able to understand his users properly. And this is where he got the idea of Amplitude , an analytics tool that tells how the user is using your product and where there is a disconnect.
Listen to the Customer First
Spencer says, “Founders are often busy with the product, but forget the real thing, which is listening to the customers.” Early feedback gave him the right direction. His mantra was:
“First ask what the user wants, then make the product — not the other way around.”
Charge Users from The First Day
Spencer quickly realized the importance of charging for his product from the beginning. “The first paying customer is the biggest validation ,” he said. Many founders are afraid of pricing, but early monetization played a big role in Amplitude’s success.
How to Get Ahead of Your Competitors?
The product analytics market was already crowded — big names like Mixpanel, Google Analytics were already there. But Amplitude focused on deeper user insights and product-led growth. The result? Slowly, they created their own identity.
Preserving Culture While Scaling Is the Biggest Challenge
As a company expands, one of the hardest challenges is keeping its internal culture intact. Spencer explained how he created leadership processes so that whether the team is small or large – both value and execution remain consistent. Moving out of the startup matrix and creating a sustainable company is a big transition in itself.
Don’t be afraid to fail , but learn from it and pivot.
Before developing an AI feature or product, understand the user’s need.
There is no better teacher than early feedback.
Think monetization from day one , the free model is not always scalable.
From startup to scale , it is important to take the team and culture along.
How I Built A $1.4B Software Giant Called AmplitudeㅣSpenser Skates, Amplitude
