Latest Interviews
Showing 181–195 of 315 transcripts.
Clear all filters- Y Combinator1 min
You should probably still learn how to code.
A recent analysis of Large Language Models reveals that their logical development stems from processing code repositories like GitHub, providing empirical proof for the long-suspected link between programming and increased human intelligence. While the ultimate goal of computing is to eventually eliminate the need for manual coding, experts argue that learning to write code remains essential today because the cognitive challenge of programming itself enhances intellectual capacity. This emerging data transforms a historical practitioner belief into a validated conclusion, urging continued education in coding despite advancements in AI-generated software.
- Y Combinator1 min
Better models, better startups.
B2B companies are leveraging advanced AI models to achieve productivity scales where a single employee performs the equivalent work of ten, while simultaneously upselling premium features to drive year-over-year revenue growth. End-users focus on functional utility rather than model architecture, allowing vendors to incrementally charge for enhanced capabilities as technology improves. This strategy has proven highly effective, with a Y Combinator cohort demonstrating rapid expansion from $6 million to over $30 million in annual revenue within a single batch cycle.
- Y Combinator1 min
It only really matters if you can find a handful of users that use your product habitually.
Early-stage founders are advised to prioritize identifying users who habitually integrate their product into daily workflows over pursuing vanity metrics like total signups. Success is defined by the retention of a core user base that returns repeatedly, rendering other performance data insignificant without this foundational evidence of habitual usage. Consequently, high acquisition numbers remain secondary unless they demonstrate tangible integration into the users' regular routines.
- Y Combinator1 min
RFS: AI to build enterprise software
Enterprise software development is undergoing a paradigm shift as AI integration replaces costly manual customization with a single, dynamically standardized codebase. This technological transition threatens incumbent firms by rendering their reliance on large sales teams and unique engineering solutions uncompetitive. Consequently, a new hiring initiative targets individual contributors eager to leverage AI for writing enterprise software in the sector's most lucrative market.
- Y Combinator1 min
Great founders actually build.
An expert evaluator posits that a startup's capacity for founders to internally build product prototypes is a primary indicator of success. Teams lacking technical founders or relying on external development agencies, premature abandonment of coding, or restrictive no-code solutions face significant scalability risks. Ultimately, the ability to construct initial demos directly is framed as a fundamental requirement for sustainable growth.
- Y Combinator1 min
Probably not.
Founders of free consumer apps are advised to avoid paid user acquisition because it typically generates only temporary metric spikes while failing to address underlying growth limitations. Sustainable scaling instead relies on discovering non-obvious, low-cost distribution channels that bypass the need for expensive marketing campaigns. Paid spending is reserved exclusively for strictly bounded experiments with predefined learning objectives, serving as a tool for insight rather than a strategy for long-term revenue generation.
- Y Combinator1 min
Focusing on data quality over quantity, Metalware built a foundation model with less compute.
Metalware, a hardware design firm without in-house PhD expertise, launched a project to build a specialized AI co-pilot by curating high-quality textbook figures and hardware data rather than relying on volume. By leveraging this refined dataset, the company successfully trained a functional model using the significantly smaller GPT-2.5 architecture instead of resource-intensive alternatives like GPT-4. This strategic pivot demonstrated that constrained tasks with superior data quality can effectively replace the need for massive computational resources while delivering practical results.
- Y Combinator1 min
To be able to create something different, you have to be somewhat contrarian.
The event posits that the unlikable traits of founders, such as confrontational candor and an innate compulsion to fix broken systems, are essential contrarian mindsets required to disrupt the status quo. While this critical behavior often leads to conflict with authority and creates difficulties as an employee, it serves as a prerequisite for identifying operational failures and driving innovation. Ultimately, the presentation argues that the same dissatisfaction with inefficiency which marks a "shitty employee" is the defining characteristic of a successful founder.
- Y Combinator1 min
Find the one narrow thing that you can do well, and carve out something that's great.
The presentation outlines a strategy where founders dominate specific, narrow verticals to achieve organic revenue targets of $10 to $20 million before pursuing broader expansion. This approach prioritizes generating $100 million annually through cash flow over seeking immediate external capital, allowing founders to maintain significant equity ownership. By avoiding one-size-fits-all products and focusing on distinct sub-segments, companies secure a stable foundation that creates strategic options for future scaling.
- Y Combinator1 min
RFS: Machine learning to simulate the physical world
Software tools relying on physics-based models for complex tasks like weather prediction and drug discovery face severe computational bottlenecks that require supercomputers and weeks of processing time. AI models function as efficient general function approximators that solve these same physics problems in seconds on standard hardware, eliminating the need for massive computational resources. This initiative targets founders seeking to enter markets that were previously infeasible by leveraging this technology to reduce prediction latency from days to seconds.
- Y Combinator1 min
RFS: Better Enterprise glue
This event addresses the inefficiency of enterprise custom integration code, dubbed "dark matter," by demonstrating how large language models can automatically generate and maintain specific "glue" code for unique business systems. The discussion highlights how LLMs can disrupt the multi-billion dollar ecosystem built by vendors like Oracle, Salesforce, and NetSuite to support these manual development processes. Additionally, the presentation serves as a recruitment signal, explicitly inviting skilled professionals to apply for roles dedicated to solving this automation challenge.
- Y Combinator1 min
RFS: Climate Tech
Amidst a newly established global consensus on climate change, startups are recognized as critical drivers of solutions, having already spearheaded innovations in electric vehicles, solar energy, and carbon counting. To leverage this momentum, a curated resource outlining high-impact problems and investment opportunities has been compiled specifically to guide founders and capital toward strategic areas of growth. This actionable directory, located at ycommentary.com/RFS, provides a clear roadmap for scaling technologies like heat pumps and carbon counting to meet collective environmental goals.
- Y Combinator1 min
San Francisco (and Silicon Valley) is for the builders.
San Francisco distinguishes itself through a dense ecosystem that manufactures luck via peer collaboration, fostering a cultural environment where entrepreneurship is celebrated rather than stigmatized as an anomalous occupation. This supportive local dynamic stands in stark contrast to global norms where early-stage founders often face social ridicule, effectively validating the struggles of those building new companies. The event further contextualizes this environment by exploring how the city serves as a critical refuge for misfits, such as the speaker who migrated from Chile, to pursue legitimate and difficult startup journeys.
- Y Combinator1 min
RFS: Real-world crypto
This initiative challenges the current crypto landscape by funding engineering teams that tokenize tangible assets like real estate, bank deposits, and actual businesses to grant enforceable ownership rights. Because legal and regulatory hurdles are paramount, the program prioritizes applicants who possess deep legal expertise or have directly collaborated with counsel to ensure compliance. Ultimately, the effort aims to shift the industry from abstract tokens to instruments backed by verified real-world value.
- Y Combinator1 min
RFS: Commercial open source companies
Y Combinator has invested in over 150 open-source companies, adopting a strategy that leverages technical founders' comparative advantage in communicating directly with engineer users to bypass traditional sales hurdles. This approach accelerates product iteration through immediate community feedback, positioning open-source startups as emerging industry standards within their respective sectors. The organization now explicitly invites technical founders pursuing similar open-source business models to engage with their investment program.