Work is being rebuilt from scratch. Remote collaboration. AI-augmented productivity. The death of the 9-to-5. The rise of the portfolio career. The companies that define how we work in 2035 are being built now. We're looking for the tools, platforms, and systems that will shape the next era of human productivity.
Hybrid work and RTO mandates are creating chaotic, noisy office environments where employees struggle to focus or conduct calls effectively, hindering productivity and collaboration.
Workers in field service, manufacturing, and healthcare need months of training before they're productive. Real-time AI coaching through phones, AirPods, and smart glasses can make anyone effective immediately—'turn off that valve,' 'use the ⅜ inch wrench.'
Growing SaaS companies struggle with operational debt as informal processes break down past $3M ARR, leading to payment errors, vendor issues, and missed opportunities. A scalable operational infrastructure is critical.
Companies are over-automating QA with AI, missing critical novel bugs in new features. This leads to increased customer escalations and security risks, demonstrating the need for a hybrid AI-human approach to testing.
Most startups fail not due to product or market, but founder psychology. Founders crave immediate rewards, clashing with the slow, tedious reality of growth, leading to burnout and failure. A solution is needed to align founder mindset with long-term business building.
Recent PhD graduates are being excluded from entry-level industry positions, hindering their career progression and talent utilization.
Acquisitions often lead to the dissolution of acquired teams, eroding value and talent despite promises of continuity, creating a critical need for better integration strategies.
Employees accustomed to remote work struggle with essential in-person social cues and professional presence, leading to anxiety and awkwardness in hybrid or office settings, requiring new tools and training for effective reintegration.
As AI agents become capable of executing tasks directly via APIs, traditional SaaS 'workflow stickiness' is becoming obsolete. Companies must pivot to become the essential 'agent-callable' services, rather than relying on human user engagement.
Many SaaS founders undervalue critical exit factors like customer concentration and founder dependency, leading to significantly lower sale prices and failed acquisitions.
US SaaS companies face unexpected GDPR compliance hurdles, particularly with intricate data mapping, requiring significant resources and expertise beyond initial assumptions.
Every employee does repetitive tasks that should be automated. But they can't code, and IT is backlogged for months. Build the platform where anyone can create AI agents for their specific workflows—no-code for the AI agent era.
Employees forced back to the office face reduced productivity, increased stress, and a negative impact on mental health due to wasted commute time and loss of autonomy, creating a significant challenge for companies and individuals.
Many professionals are forced back to the office, disrupting established remote work lives and creating a need for better platforms to find and secure fully remote positions.
Companies falsely advertise remote positions, only to reveal hybrid requirements post-application, wasting job seekers' time and creating a frustrating job search experience.
Builds a serverless API using mmap and Bloom filters to check passwords against leaked dictionaries without exposing user data, enhancing security at registration.
Current AI scribes struggle with complex medical visits, generating inaccurate and unhelpful notes, forcing clinicians to still manually document and undermining the technology's purpose.
Public SaaS companies are experiencing significant stock price drops despite positive revenue and retention, as market narratives around AI disruption overshadow actual performance, creating a valuation crisis for established software providers.
As AI agent development becomes commoditized, the true value lies in ongoing management, monitoring, and maintenance. This presents a massive opportunity for AI Ops services that ensure AI agents function reliably and effectively for businesses.
AI tools are democratizing code generation, making open-source projects like Tailwind CSS more popular than ever but decimating their revenue by reducing the need for developer engagement with monetization touchpoints.
Technology promised to eliminate paper-pushing. Instead, we digitized the drudgery into bit-pushing—extracting data from PDFs, reconciling systems, managing approvals. LLMs can finally process unstructured data and ambiguous workflows. Build the tools that end administrative work and become the new system of record.
Millions of remote workers face daily lunch paralysis. Develop a system or service that simplifies WFH meal planning and preparation, reducing decision fatigue and promoting healthier eating habits.
Navigating government programs (benefits, permits, visas, taxes) requires expertise across unintelligible systems. Build natural language chat agents for government service workflows and form completion.
The AI revolution requires massive physical infrastructure—data centers, semiconductor fabs, power plants. We need 500,000 more electricians, HVAC technicians, and welders by 2030. Build AI training programs that compress years of apprenticeship into months.
Build software that helps SMB service providers (agencies, consultants, accountants) automatically deliver and communicate results to their clients.
Years are required to train novices in electrician, HVAC, and solar installation roles. Build a full-stack services company combining minimally trained workers with AI guidance systems, AR hardware, and remote expert oversight.
Knowledge workers spend 2+ hours daily in email, much of it while commuting, exercising, or doing chores. Voice AI can now process email hands-free—triage, respond, and organize through conversation. Build the interface that liberates people from their inboxes.
Some problems are so large that solving them changes everything. Fusion energy. Brain-computer interfaces. Reversing aging. These aren't incremental improvements—they're civilizational shifts. We're looking for the technical breakthroughs and bold bets that seem impossible until they're inevitable.
The best businesses often start in markets that look too small. Vertical SaaS for dry cleaners. Tools for independent truckers. Software for yacht brokers. These niches are ignored by big companies but represent real pain for real people. Dominate a niche, then expand.
50 million people now consider themselves creators. Most make less than $500/year. The infrastructure is broken—discovery is algorithmic roulette, monetization favors platforms over people, and burnout is the norm. We need better tools for creators to build sustainable businesses around their work.
The science of aging is accelerating. Senolytics. Gene therapy. Epigenetic reprogramming. For the first time, extending healthy human lifespan is a serious engineering challenge, not science fiction. The companies solving these problems won't just build billion-dollar businesses—they'll change what it means to be human.
Financial infrastructure was built for a different era. Cross-border payments take days. 2 billion people are unbanked. Small businesses can't access capital. Crypto promised a revolution but mostly delivered speculation. We're looking for practical solutions that make money work better for everyone.
We have 10 years to fundamentally transform energy, transportation, agriculture, and manufacturing. This isn't about incremental efficiency—it's about reinventing trillion-dollar industries. The climate transition will create more wealth than the internet. The problems are urgent, massive, and solvable.