Visual Capitalist's infographic, based on Crunchbase data, highlights the companies most actively acquiring startups from 2000 to mid-2024. The list features 15 companies that acquired over 30 startups each in under 3.5 years, with tech giants like Alphabet, Microsoft, and Cisco leading. Only four of the top acquirers are outside the U.S., while others, including Accenture and Roche, diversify beyond tech.
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Amazon Web Services (AWS) launches a $110 million grant program to support AI research, offering credits and up to $500,000 in funding for AI researchers. The initiative aims to enhance generative AI applications using AWS's custom AI chips, Trainium. While the program offers valuable resources, some critics question its potential influence on academic independence.
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Investment in anti-climate startups has dropped over the past two years, with a significant spike during the crisis of 2022. While Q3 was uneventful, the general trend shows a retreat from opportunistic ventures, signaling a potential shift toward more sustainable practices.
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DeepL has introduced DeepL Voice, a real-time, text-based translation service for voice and video conversations. Initially supporting 13 languages, it provides live translations for video conferencing, appearing as subnoscripts in Teams. Unlike other AI services, DeepL’s system processes translations in real-time, prioritizing accuracy over audio or video output. Despite limited integrations and no API, it aims to address customer needs, particularly in industries like customer service and hospitality. The service promises high privacy standards by not retaining or using voice data for training.
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Nokia has acquired Rapid, a leading API marketplace, to bolster its “Network as Code” platform for 5G networks. The acquisition will help Nokia enable telecom operators to open their networks to developers, enhancing the creation of third-party services on 5G infrastructures.
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London-based startup Tessl has raised $125 million to build an "AI-native" platform for coding and maintaining software, with a post-money valuation over $500 million. Led by Guy Podjarny, former CEO of Snyk, Tessl will enable developers to specify code requirements in natural language or code, which it will translate into software while ensuring smooth integration and ongoing maintenance.
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Atlas.co, a startup from Norway, is building a browser-based mapping platform intended to simplify and democratize geospatial data analysis. Inspired by tools like Figma and Notion, it offers a flexible, collaborative GIS platform targeting users in fields like renewable energy, urban planning, and journalism. Recently closing a $2M pre-seed round, Atlas.co plans to expand its features and attract industries needing geospatial tools for environmental and social initiatives.
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Bluesky saw over 1 million new signups in a day, reaching 16 million users total and topping the U.S. App Store. Growth was fueled by recent events like controversies on X and the U.S. elections. Despite being smaller than Threads, Bluesky reports higher user engagement, with over 30% actively posting. The platform recently raised $15 million and plans to launch subnoscriptions.
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Volkswagen finalized a $5.8 billion joint venture with Rivian to co-develop automotive software, led by engineers from both companies. The move aims to strengthen VW's software strategy amid struggles at its Cariad unit, while Rivian faces challenges with demand and supply chain issues.
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Berlin-based travel platform Tourlane raised $26M led by Sequoia Capital to enhance its AI-powered trip planning, targeting profitability and growth. The funds will improve personalization, expand services, and potentially reach new markets. Founded in 2015, Tourlane has served 100,000 customers and aims to scale further. Investors include Target Global and HV Capital.
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Drone manufacturer Skydio raised $170 million in a Series E extension, with strategic investments from KDDI and Axon. The company is diversifying revenue, focusing on defense and enterprise markets, and projecting significant growth despite high capital burn.
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Opportunities Created: Count of potential deals.
Pipeline Value Created: Total ARR (or TCV) value of these deals.
Win Rate: Percentage of deals closed (~20% is standard).
Sales Cycle Length: Time to close deals, often 6-9 months for complex B2B products.
Cohorted Win Rates: Analyze win rates by client cohorts; identify drop-off points and optimize support.
Stage Conversion Rate: Track how deals move through sales stages to find bottlenecks.
Average Time per Stage: Spot delays and improve pipeline flow.
Open Pipeline by Close Date: Forecast when deals will close and revenue will arrive.
Weighted Pipeline: ARR multiplied by the probability of closing, varying by stage.
Pipeline Waterfall: Visualize pipeline changes over time to pinpoint growth drivers.
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The U.S. IPO window remains closed, but startups are making moves with major funding rounds and acquisitions. Klarna and other tech firms explore public offerings, while notable investments include Writer’s $200M raise and Tessl’s $125M funding. Additionally, AI startups dominate Paris’ Station F incubator.
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ByteDance, TikTok's parent company, recently valued itself at $300 billion in a share buyback offer, maintaining its 2022 valuation despite prior dips. TikTok’s U.S. prospects remain uncertain following legislative pressure for ByteDance to sell or face a ban, though Donald Trump's reelection has brought potential policy shifts, with Trump expressing support for keeping TikTok in America.
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Apple Brings Edge AI to the Masses
Apple’s hybrid approach to AI combines on-device processing with secure cloud computing through its "Private Cloud Compute" system. This model showcases how edge computing can enhance privacy, efficiency, and scalability for both consumers and enterprises.
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Apple’s hybrid approach to AI combines on-device processing with secure cloud computing through its "Private Cloud Compute" system. This model showcases how edge computing can enhance privacy, efficiency, and scalability for both consumers and enterprises.
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The Exploration Company raised $160M to develop Nyx, a reusable spacecraft aiming to transport 3,000 kg of cargo to and from the ISS by 2028. Backed by private investors and European agencies, the company is advancing Europe's space capabilities with a focus on reliability and innovation in space transportation.
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Juna.ai, a German startup, aims to improve energy efficiency in factories by automating industrial processes using AI agents. The company’s software integrates with manufacturing tools to optimize machine settings, increasing throughput and reducing energy waste. With $7.5M in funding, Juna.ai plans to scale its self-learning system to transform heavy industries, like steel and chemicals, into smarter, more sustainable operations.
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Factiverse, a B2B-focused Norwegian startup, offers live fact-checking tools for text, video, and audio, targeting disinformation online. Using a model trained on high-quality, credible sources, it outperforms leading LLMs in identifying and verifying claims in 114 languages.
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In the fast-paced startup world, speed isn't just about working hard – it's about working smart. Here’s how you can achieve startup speed:
Mastering speed will help you turn capital into value at a much faster pace.
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Yuka, the health app that rates food and cosmetics, now lets users directly contact brands that use harmful ingredients.
Through the new "call-out the brand" button, users can email manufacturers or post on social media to push for healthier products. At the moment this feature is available only for premium users in France and the U.S.
Yuka plans to expand the tool to more countries soon. Would you like to have something like this at your place? 🤔
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ElevenLabs now lets users create customizable conversational AI agents, adjusting voice tone, language, and response length. The platform allows developers to integrate their own knowledge base and use various AI models.
Why's that so important? From now on, every company in the world can create a real-sounding support agent who will work 24/7. Moreover, its voice will be as real as yours.
Are AI agents the next step in the future or an unethical way to fire bad customer service agents? Let us know in the comments!
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