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32 articles
Learn how funding rounds work in tech startups and why investors sometimes walk away from big deals, using the recent Listen Labs example.
Runlayer and Rippling have dropped their lawsuits with no financial settlement, highlighting the risks and costs of legal battles for startups. The resolution serves as a cautionary tale for founders navigating competitive tech markets.
Startup Naïve raises $28.5M to automate the grunt work of setting up and running a company. The company's platform aims to streamline business operations through AI-driven automation.
The traditional SaaS go-to-market playbook is becoming less effective as more companies adopt it, leading to increased costs and reduced visibility. Startups are now pivoting toward customer-centric strategies.
A new study reveals that most startup accelerators fail to improve survival rates, but successful programs focus on tailored mentorship and strategic networks.
OpenAI and Anthropic are offering startups millions in free computing credits to secure their loyalty and drive adoption of their platforms ahead of their IPOs.
Nvidia is launching a 'compute now, pay later' model to help AI startups and cloud providers access its GPUs without upfront capital investment.
TechCrunch Disrupt 2026's Builders Stage returns with practical strategies for scaling startups, featuring interactive Q&A sessions with industry leaders.
This explainer explains why startups are increasingly attractive for tech jobs in the age of AI, helping readers understand the changing job market dynamics.
Learn how Seedcamp invests in early-stage startups and helps them grow into successful companies. Understand the role of venture capital in tech innovation.
Former presidential candidate Andrew Yang argues that the next wave of startups won't focus on AI itself, but on lowering the cost of living for those displaced by AI automation.
Former Datadog executives launch Niteshift, an AI coding startup focused on avoiding vendor lock-in. The company has raised $7 million in seed funding to develop tools that give enterprises more control over their AI workflows.
