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I love tracking requests for startups list as a barometer of what investors want to back and where capital is likely to flow in the following months. It’s not an exact science, of course, but VCs tend to fall into herd mentality, and so if YC says that ‘Agentic Security’ is the hottest new category, it is likely several startups will get backing shortly thereafter. You can track previous editions published in 2024 and 2025 part 1 and part 2 as well as the most recent one from February 2026. All the requests below are new.
The Summer 2026 edition is characterised by AI is moving from copilots to agents, from software to services, from chat interfaces to company operating systems, and from digital workflows into chips, supply chains, agriculture, medicine, defence, and space tech.
1. Y Combinator Summer 2026 RFS: rebuilding software, services, silicon and the physical world
YC frames Summer 2026 around AI becoming “the foundation,” not just a feature, with startups rebuilding software, services, silicon and pushing AI into the physical world.
- 1.1 AI-native service companies – Sell the completed work, not the tool. YC highlights insurance brokerage, accounting, tax, audit, compliance and healthcare administration as areas where AI-native companies can replace outsourced services rather than merely improve SaaS workflows.
- 1.2 Company Brain and the AI Operating System for Companies – The missing layer is no longer model capability, but company context. YC describes the “Company Brain” as a living map of how a company works, while the AI OS for companies turns company artifacts into a closed loop that agents can reason over and act on.
- 1.3 Software for Agents– YC’s line is strong: “The next trillion users on the internet won’t be people, they’ll be AI agents.” This creates opportunities around APIs, MCPs, CLIs, machine-readable documentation, identity, permissions, payments and agent-native software.
- 1.4 SaaS Challengers – Jared Friedman’s point is that AI coding may hurt incumbents, but it is a gift to startups. YC wants founders to attack big, hard SaaS categories like ERP, chip design software, industrial control systems and supply chain management.
- 1.5 Dynamic Software Interfaces – AI makes users their own forward-deployed engineers. Instead of every user seeing the same interface, software may become a set of primitives that users and agents customise for their own workflows.
- 1.6 AI for Low-Pesticide Agriculture– YC sees AI vision, robotics, sensors and biology converging to reduce chemical use in agriculture while improving yield. This is a strong “AI meets atoms” category, especially relevant for Israeli agtech, robotics and computer vision founders.
- 1.7 AI Personalised Medicine– YC points to agents analysing diagnostics, genome scans, EHR data and wearables, alongside falling costs of diagnostics and n-of-1 genetic therapies. This is a huge opportunity, but one where clinical validation and trust matter more than speed alone.
- 1.8 Counter-Swarm Defence– YC argues that drone defense is starting to look less like traditional weapons procurement and more like a real-time distributed system, with winners looking “more like Cloudflare than Raytheon.”
- 1.9 Hardware Supply Chain and Semiconductor Supply Chain 2.0 – YC highlights faster hardware iteration loops and deeper visibility into semiconductor supply chains, from packaging constraints to export compliance and multi-tier supplier risk.
- 1.10 Inference Chips for Agent Workflows and Electronics in Space – Agents create bursty, looping, memory-heavy inference workloads. YC also points to demand for inference chips in space, optimised for mass, thermal performance and radiation.
- 1.11 Selling to Huge Companies – YC argues AI has made it newly possible for 2–3 person teams to sell useful products to Fortune 10-scale companies much earlier than before.
2. a16z speedrun: agents, networks and the 100x solo founder
A16Z Speedrun has started recruiting for its 007 batch, and I expect more requests to be released as we get closer to the deadline. We can already see some interesting themes coming up.
2.1 Come for the Agent, Stay for the Network
Troy Kirwin from a16z speedrun framed one of the most interesting vertical AI opportunities: AI procurement agents. The example is an HVAC technician who needs a replacement part. Instead of calling vendors, emailing for quotes, waiting days, and comparing PDFs, an AI agent identifies the SKU, contacts suppliers, negotiates price, and orders in minutes. But the real moat is the network. Once the agent operates across thousands of buyers, it sees real transaction prices, aggregates demand, and can make suppliers compete to be part of the network.
This is the difference between an agent and a marketplace.
Promising verticals include:
- Freight and logistics
- Agricultural inputs
- Field services
- Food service procurement
- Construction subcontracting
- Industrial MRO
- Healthcare staffing
The wedge is automation. The moat is pricing data, supplier access, demand aggregation, and workflow ownership.
2.2 Tools for the 100x Solo Founder
Emily Bennett from a16z speedrun described another important theme: tools that let one founder operate what previously required entire teams. The examples include an AI-native finance stack, an autonomous revenue engine, and an AI-operated supply chain for SMBs. The defining feature is control: these systems do not just recommend actions, they access operational surfaces like bank accounts, CRMs, inboxes, ad platforms, and inventory systems, then execute, measure, and improve.
This is not just “productivity software.” It is company automation.
If AI reduces coordination costs, the minimum viable company shrinks. A founder can do more with fewer people. A small team can look larger. A startup can reach revenue before building a traditional org chart.
Startup ideas:
- AI CFO for solo founders and micro-SMBs
- Autonomous outbound and renewal engine
- AI customer support operator with authority to resolve issues
- AI supply chain planner for ecommerce operators
- AI chief of staff that manages operating cadence, follow-ups, hiring, and reporting
This theme is especially relevant for founders building globally from smaller ecosystems. AI compresses the distance between a two-person team and a much larger competitor.
3. ARK Big Ideas 2026: the macro tailwinds behind the startup requests
ARK published its Big ideas 2026 research not a startup wishlist, but as the macro scaffolding that explains why these requests matter. ARK’s “Great Acceleration” argues that AI, public blockchains, robotics, energy storage and multiomics are becoming increasingly interdependent, with AI acting as the central catalyst across platforms.
- 3.1 The Great Acceleration – Use ARK to explain why this is not just an AI app cycle. AI is converging with robotics, energy, blockchain, biology and space. That supports YC’s interest in agriculture, defense, personalised medicine, hardware, chips and space.
- 3.2 AI Infrastructure – ARK estimates that data center systems investment reached roughly $500 billion in 2025 and could reach about $1.4 trillion by 2030. This supports the YC sections on inference chips, semiconductor supply chains, electronics in space and hardware iteration.
- 3.3 The AI Consumer Operating System– ARK argues that foundation models are becoming a new layer of the internet stack, changing search, discovery, transactions and ecommerce. This supports your sections on software for agents, agent commerce, agent-readable storefronts, GEO for agents and AI purchasing agents.
- 3.4 AI Productivity – ARK says AI agents became more proficient during 2025, with reliable task duration rising from 6 minutes to 31 minutes, while software development model costs fell sharply. This supports the sections on SaaS challengers, AI-native service companies, company brains and 100x solo founder tools.
- 3.5 Robotics, Multiomics and Space – ARK’s robotics and multiomics sections give you macro support for low-pesticide agriculture, personalised medicine, counter-swarm defense, humanoids, autonomous logistics and space-based compute.
4. My synthesis: what Remagine Ventures is looking for
This is where you bring it back to your voice.
The clean synthesis could be:
YC is telling founders where the pain is.
a16z speedrun is telling founders what the new company-building patterns look like.
ARK is telling investors why the platform shift is bigger than another SaaS cycle.
At Remagine Ventures, the most interesting opportunities sit at the intersection:
- Agents that become networks
- Company brains and AI operating systems
- Software built for agents, not humans
- AI-native services that sell outcomes
- Tools that let tiny teams operate like large companies
- AI in hard verticals: healthcare, defense, agriculture, supply chain and industrial workflows
- Infrastructure for trust, context, permissions, payments and execution
He is a former General Partner at Google Ventures (GV) in Europe, former head of Google for Entrepreneurs in Europe, and founding head of Campus London, Google’s first startup hub. Eze writes on Israeli tech, venture capital, artificial intelligence, and founder strategy.
He is also the founder of Techbikers, a nonprofit that brings together the startup ecosystem on cycling challenges in support of Room to Read.