📶 what YC is looking for

Our investment memo (1,700 words) on a company replacing DocuSign

Our full January behind-the-scenes look at what worked / didn’t work / needs to get fixed with this business over the past month

YC latest request for startups

Our latest investment memo

How to get vs how to keep attention

An updated AI voice agents market map

User Data Protection: Empowers users to control which personal information each app can access, enhancing privacy.

Unified Memory: Centralizes user preferences and context, allowing apps to be more personalized without redundant data storage.

Curated AI Tools: Provides a vetted marketplace for AI applications, ensuring quality and security for users.

Developer Support: Offers infrastructure and APIs to streamline app development, reducing redundant efforts.

Simplified Monetization: Facilitates easy payment processes for paid apps or services, benefiting developers.

Accelerated AI Infrastructure: The surge in AI applications demands rapid expansion of data centers. Innovations in power infrastructure, cooling, and project management can expedite this growth.

Cost Efficiency: Developing solutions to build data centers faster and at lower costs addresses the pressing need for scalable AI infrastructure.

Regulatory Adherence: As industries become more digitized, ensuring compliance with evolving regulations is crucial. Tools that automate and streamline compliance processes are in high demand.

Risk Mitigation: Automated audit solutions can identify and address potential risks proactively, safeguarding businesses.

Enhanced Digital Agreements: Building upon existing digital signature platforms, there's potential for more secure, user-friendly, and integrated solutions in contract management.

Integration Capabilities: Seamless integration with other business tools can enhance workflow efficiency.

Task Efficiency: Automating repetitive tasks can significantly boost productivity for individuals and businesses.

AI Integration: Leveraging AI to predict and automate user behaviors can lead to more intuitive computing experiences.

Personalized Assistance: AI can act as a personal assistant, managing schedules, communications, and tasks tailored to individual needs.

Accessibility: Making such AI assistants affordable and user-friendly can democratize access to personal productivity tools.

Developer Support: As AI agents become more prevalent, specialized development tools can aid in their creation, testing, and deployment.

Efficiency: Streamlining the development process for AI agents can accelerate innovation in this space.

AI-Driven Development: Incorporating AI into software development can lead to more efficient coding practices and innovative solutions.

Evolving Practices: Staying ahead of emerging trends ensures relevance in a rapidly changing tech landscape.

Community Collaboration: Combining the strengths of open-source development with AI can lead to robust, community-driven solutions.

Commercial Viability: Developing sustainable business models around open-source AI projects can drive innovation.

Performance Enhancement: AI can assist in writing code optimized for specific hardware, leading to better performance.

Developer Efficiency: Automating hardware-specific optimizations can free developers to focus on higher-level design.

Agent-Centric Design: Creating software tailored for AI agents as primary users opens new avenues in software development.

Scalability: Such software can handle tasks at scales beyond human capability, offering efficiency gains.

Industry-Specific Solutions: Developing AI agents tailored to specific industries can address unique challenges and optimize operations.

Expertise Automation: Embedding industry expertise into AI agents can enhance decision-making processes.

Technical Proficiency: Founders with deep systems programming knowledge can drive innovations at the foundational software level.

Performance Optimization: Such expertise can lead to the development of highly efficient and optimized software solutions.

Scalable Solutions: As AI models grow, efficient infrastructure for inference becomes critical. Innovations here can lead to cost savings and performance improvements.

Resource Management: Optimizing compute resources during inference can make AI applications more accessible and sustainable.

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The State Of Startups In 12 Charts: AI Soars, Asia Tanks, Seed Stalls And More  (Crunchbase)

Longtime tech investor Lip-Bu Tan is setting up new VC firm (Pitchbook)

ChatGPT Subscribers Nearly Tripled to 15.5 Million in 2024 (The Information)

AI Voice Agents: 2025 Update (a16z)