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"title": "LPO Announces Conditional Commitment to Solugen’s Bioforge Marshall for Sustainable Biomanufacturing | Department of Energy",
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"body": "We’re [Martin Hunt](https://www.linkedin.com/in/martin-hunt-a3392999/) and [Alaz Sengul](https://www.linkedin.com/in/alazsengul/), founders of [Garage](https://www.withgarage.com/).\n\n**How it started**\n\nIn 2015, I joined my local fire department as a volunteer _(young, but not as young as I was in this picture)_. In the years that followed, I completed 1500+ hours of training, got certified as an EMT, and started working as a paid firefighter at neighboring departments.\n\n\n\nWhen my department bought new equipment or a new truck, we would turn to Facebook groups and word of mouth to sell our used equipment to other departments in need. For perspective, a new fire truck costs $1.5 to $2.5 million, with used trucks ranging in cost from $50,000 to $1 million.\n\nIt was a super frustrating process for us:\n\n* Countless hours spent trying to find buyers in-need\n* Navigating and losing money to scammers \n* Coordinating independent logistics and financing providers\n\n\n\n**Garage’s Solution**\n\nGarage helps fire departments buy and sell used equipment in seconds rather than days. Our marketplace handles payments, freight, and financing – making buying and selling equipment easy.\n\nWe're starting with fire departments because of my personal background, but the same problem of selling used equipment exists in many other verticals including construction, agriculture, and government surplus equipment. \n\n**Meet the team**\n\nWe met while both studying at Columbia and have been friends for 6+ years. Before starting Garage, Alaz worked at Twitter and MemAI as a software engineer, and I worked as a private equity investor at Goldman Sachs.\n\n**Email us at **[**founders@withgarage.com**](mailto:founders@withgarage.com)**.**",
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"title": "Ultra raises $62 million for fast-growing ‘robots as a service’ business, announces tie-up with AI research firm Physical Intelligence | Fortune",
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"body": "**_TL;DR_**: Ultra robots automate e-commerce order packaging and returns in fulfillment centers. Traditional automation isn't working for warehouses because it's costly, rigid, and often underutilized. Our robots are different: they’re easy to deploy, resilient to changing environments, and powered by AI that’s trained with examples.\n\n\n\nHi everyone - we’re [Oliver](https://www.linkedin.com/in/oliverortlieb/), [Chetan,](https://www.linkedin.com/in/chetan-parthiban/) [Jon](https://www.linkedin.com/in/jmschwartz11/), and [Max](https://www.linkedin.com/in/mfriefeld/). After years of building and scaling manufacturing and robotics companies (_Layer By Layer, S13, and Voodoo Manufacturing, W17_), we’re now focused on bringing automation to the industries that need it most.\n\n\n\nWe believe we’re at a moment in history when robots can be made accessible and capable enough for mass adoption - and we need it more than ever.\n\n**Labor is harder to come by than it’s been in decades**.\n\nImagine running a warehouse: you hire 20 temp workers to come in one day, but only 15 show up in the morning, and just 5 return after lunch. That’s the reality one of our partners told us they face.\n\nIn 2018, the U.S. entered its first labor shortage in over 60 years. Today, we are short over 1.3 million workers, causing companies to go understaffed or rely on high-churn temp labor.\n\nAnd yet, **traditional warehouse automation isn’t being adopted fast enough**.\n\n\n\n# **🤖 Ultrabots**\n\nUltra is building robots that can be dropped in at existing workstations and quickly trained to do repetitive tasks. They are more cost-effective than human labor and can operate around the clock, giving your team [✨](https://emojipedia.org/sparkles)superpowers[✨.](https://emojipedia.org/sparkles)\n\nWe use reliable off-the-shelf hardware so we can focus on rapid deployment. The key to unlocking the next million robots is data scale, and the fastest way to get there is to put robots in real-world environments doing useful tasks.\n\n# **⏰ Why Now?**\n\nRecent AI breakthroughs mean we can control robots with neural nets trained with examples, rather than with explicitly programmed routines.\n\n\n\n_Above is an example of a fully autonomous picking policy we trained on \\~2hrs of data from teleoperating our research arms. The two RGB camera feeds are the input to the model, which outputs the joint+gripper positions at 10Hz._\n\n\n\n_Examples of emergent behavior learned from the training data, but not explicitly programmed like what would be required in traditional automation._\n\n# **🙏 Asks**\n\nWe’d love to connect to e-commerce 3PLs and large brands that handle their own fulfillment. You can reach us at [founders@ultra.tech](mailto:founders@ultra.tech). Thanks!",
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{
"id": 66553,
"title": "YC Deals - Access to software deals for employees at YC companies",
"tagline": "Employees at YC companies have access to more than 100 discounts and exclusive offers on industry leading tools.",
"body": "Hello, [Oliver](https://www.linkedin.com/in/oliverortlieb/) and [Zach](https://www.linkedin.com/in/zach-kamran/) here, software engineers at Y Combinator. We are thrilled to announce YC Deals. \n\nEmployees at YC companies can now leverage one of the major benefits previously only available to YC founders – [YC Deals](https://deals.ycombinator.com/). Through YC Deals, employees have access to more than 100 discounts and exclusive offers on industry leading tools. There are already $500,000 worth of free credits and discounts available, and new deals are constantly being added.\n\n**❌ The Problem**\n\nWe built YC Deals for our companies with a growing team. The founders still want to take advantage of the wide variety of discounts and free credits that YC companies receive, but their employees don’t have access to Bookface (our internal platform for YC founders), where these exclusive deals are listed. \n\n**✨ Our Solution**\n\nNow any employee of a YC company can redeem these deals and help their company save money. Building something new? There are dozens of dev tools like PostHog, Fivetran, and OneSignal. First HR or ops hire? Get Deel and Stable up and running at a discount. In charge of security? Check out Vanta. Also find deals on startup staples, like Gusto, GitHub, Algolia, and Amplitude. Help build and grow your company using world-class tools on a startup budget. \n\n\n\n**👉 Next steps**\n\nEmployees at YC companies can access YC Deals by completing a simple email verification flow using their company email address [here](https://deals.ycombinator.com/).\n\nIf you’d like to offer a deal to the YC community and their employees, you can submit one [here](https://bookface.ycombinator.com/deals/new). \n\nAny additional questions about YC Deals? Visit our FAQs [here](https://deals.ycombinator.com/faq).",
"url": "https://www.ycombinator.com/launches/HJR-yc-deals-access-to-software-deals-for-employees-at-yc-companies",
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"created_at": "2022-10-06T16:03:12.293Z"
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"title": "Ares Industries - Building low-cost cruise missiles 🚀",
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"body": "\n\nHello, we’re Alex and Devan, and we’re building the low-cost cruise missiles the United States needs!\n\n**What we’re building**\n\nAres is building a new class of anti-ship cruise missiles. We are going to deliver the capabilities that the DoD wants in a form factor that’s 10x smaller and 10x cheaper.\n\nOur missiles will be compatible with existing launch platforms, deliver smaller payloads at high subsonic speeds, and take out ships hundreds of miles away. We’re focusing on ground and ship-launched variants to start but will expand into air-launched versions, as well as versions with extended ranges and different payloads.\n\n**Why we’re doing this**\n\nA war with China in the Taiwan Strait would look nothing like what we've seen in Ukraine or the Middle East. Wargames within DoD and military experts are in agreement that the most useful weapons in such a conflict would be long range anti-ship weapons or cruise missiles.\n\nThe United States is not adequately prepared. In a potential conflict, our stockpiles will run out in weeks, and we currently don’t have the industrial capacity to build at a rate that could win a war, much less deter China. Higher-ups in DoD are waking up to the problem, and generals such as Major General Cameron Holt and officials such as Chairman of the House Select Committee on China Mike Gallagher have echoed this sentiment.\n\nRecent conflicts in the Middle East and Ukraine have shown that our weapons are too large, too expensive for the wars of today. Existing anti-ship cruise missiles are low-volume, multi-million dollar, 3,000 lb behemoths meant to take out large cruisers and destroyers.\n\nBut Chinese shipbuilding capability is far superior to ours, and we can’t make enough anti-ship missiles to counter. In addition, huge missiles aren’t needed to take out the smaller corvettes and frigates that make up the People’s Liberation Army Navy. And $3M missiles make even less sense to take out swarms of $200k small, unmanned surface vessels.\n\nThe DoD needs smaller, less expensive cruise missiles, and lots of them! But no one has delivered on that promise yet.\n\n**How we know how to do this**\n\nBoth of us have worked at multiple defense and munitions startups. [Devan](https://www.linkedin.com/in/devanplantamura) is an Army Psychological Operations and Navy combat veteran and has deep experience in operations and business development at well-funded defense startups. [Alex](https://www.linkedin.com/in/alextseng1/) was the first engineering hire at an earlier missile startup, built autonomous systems at Rivian and Stanford, and worked on turbojets at CSULB.\n\n**Where we’re at now**\n\nWe spent the summer building multiple prototypes and flight-testing them in the Mojave. In 11 weeks, we went from starting the company to flight testing with our own design. We are on track to deliver early working missile systems to our first customers by mid-2025.\n\nWe believe our vision for anti-ship cruise missiles can help fill the munitions gap that the US faces. At Ares, we would never wish for a war to occur. But by helping to rebuild our defense industrial base, we can make sure the United States is prepared to stop a conflict and save countless lives.\n\n**Our Ask**\n\nWe are looking for extremely talented aerospace engineers to help bring our prototypes to fruition. If you know any aerodynamics, propulsion, or GNC engineers who are interested in building something incredibly cool and want to make a positive difference in geopolitics, please send them our way!\n\n\n\n",
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"votes": 75,
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"full_name": "Edouard Labarthe",
"title": "Founder/COO",
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"title": "[L’acteur de la semaine] « Plume » facilite l’accès des développeurs au foncier – pv magazine France",
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"date": "Aug 24, 2025"
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},
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},
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"title": "Fleet Partnerships Director, IOI (Internet of Industrials)",
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"title": "Quantitative Researcher, IOI Index",
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"location": "San Francisco, CA, US",
"type": "Full-time",
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"role_type": "Data science",
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"title": "5 Founders Building the Future of Logistics, AI, and Industrial Technology - The San Francisco Tribune",
"url": "https://thesanfranciscotribune.com/5-founders-building-the-future-of-logistics-ai-and-industrial-technology/",
"date": "Oct 15, 2026"
},
{
"title": "How Oway uses AI to fill empty trucks and cut shipping costs - FreightWaves",
"url": "https://www.freightwaves.com/news/how-oway-uses-ai-to-fill-empty-trucks-and-cut-shipping-costs",
"date": "Sep 30, 2025"
},
{
"title": "YC-backed Oway raises $4M to build a decentralized ‘Uber for freight’ | TechCrunch",
"url": "https://techcrunch.com/2025/08/22/yc-backed-oway-raises-4m-to-build-a-decentralized-uber-for-freight/",
"date": "Aug 22, 2025"
},
{
"title": "9 startups that stood out on YC Demo Day 2 | TechCrunch",
"url": "https://techcrunch.com/2024/09/26/9-startups-that-stood-out-on-yc-demo-day-2/",
"date": "Sep 26, 2024"
}
],
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{
"id": 122375,
"title": "Oway: Building the Internet of Industrials",
"tagline": "Oway connects industrial systems through a common protocol, giving AI the context to coordinate the physical economy.",
"body": "**TL;DR:** We’re building the Internet of Industrials (IOI), a shared context layer connecting industrial systems and giving AI a common basis of structured data across companies. IOI already powers Oway, where our first model, Juno, uses it to coordinate shipments through unused truck capacity. We’re opening that same foundation to robotics, automated factories and other industrial systems to accelerate US industrial automation.\n\n\n\n**An example:** A factory asks its AI for eight units of mild steel by tomorrow morning. Through IOI, the AI coordinates production with a connected certified supplier and books a connected truck for delivery. All three systems share the context needed to execute and track the order.\n\n### The problem\n\nAmerica is building new factories, deploying automation, and developing autonomous vehicles. But the systems connecting industrial operations still speak different languages.\n\nInventory, capacity, equipment, orders, and operating constraints are scattered across ERP systems, TMSs, warehouses, carriers, sensors, and closed systems. That fragmentation extends across the companies that need to work together. AI cannot reliably coordinate physical work without understanding what exists, what is available, and what each system can do.\n\nProductive capacity goes unused while businesses pay more to make, store, and move goods.\n\n### Introducing IOI\n\nWe built IOI as the backend that runs Oway. It already connects every Oway customer and carrier. We’re now making it available to other businesses as a common structured context layer.\n\nOur thesis is that logistics provides the foundational language for an industrial network. Nearly every physical business can be described through a common set of primitives: **what exists, where it is, where it needs to go, available capacity, time, cost, constraints, storage, and transformation.**\n\nIOI translates those states into structured data that enterprise software, physical hardware and AI agents can share across company boundaries. Businesses can build nodes alongside their existing systems instead of replacing them. \n\nSetting up an IOI node is extremely simple, our default setup allows you to simply plug Oway in as a “carrier” into your stack that monitors and optimizes your supply chain quotes and orders - automatically gaining the context to build a full IOI data lake for you that already has action capabilities and can infer your inventory levels and SKU-level performance. Data can then automatically be fed back to SAP, Oracle Netsuite, or any data system / AI agent you’d like.\n\n\n\nIOI will be open source soon, with Oway maintaining the standard so developers can build compatible systems. It is designed around widely adopted enterprise security practices, with each business controlling its data, access permissions and authorized actions. Nodes can run in enterprise clouds or at the edge.\n\n**Below: Ask IOI anything -** Each Oway enterprise customer also gets search functionality out of the box. \n\n\n\n### Our first model: Juno\n\nJuno is our first AI model. It reasons over IOI to price, coordinate and execute pooled shipments on trucks already traveling the route.\n\nBy ridesharing shipments into capacity already moving, we lower costs, shorten transit times and reduce damage from handling. Carriers earn from their existing capacity, with legal paperwork, insurance and DOT compliance all automatically monitored and handled.\n\n**Below: Juno in Oway OS.** A full API, MCP and EDI-compatible suite that enables businesses to leverage Juno’s rideshare capabilities however they’d like for freight shipping.\n\n\n\nWe estimate this is a **$200B+ annual optimization opportunity within America’s roughly $1T trucking industry**.\n\nWith Oway Rideshare, we deliver average savings of 30% per transaction, while also reducing damage rates, and transit times as well for cross-country shipments.\n\nFreight gives IOI an operating environment where its primitives have to produce real physical outcomes.\n\n### Where we’re going\n\nEvery connected system and shipment adds context about capacity, pricing, routes, facilities, and industrial operations.\n\nThat shared context gives robotics companies, automated factories and self-driving trucks a way to communicate and coordinate across companies. Every company on Oway, and even Oway’s model - are already running on IOI. We believe that providing these capabilities at a national level will lead to significant improvements to the GDP and global competitiveness of US-made products.\n\nOway + IOI already serves Fortune 500 companies, connects over 10,000 vehicles nationwide, and indexes hundreds of millions of dollars in annualized shipping demand.\n\nIf you’re working at a company that makes, stores, or moves physical goods, [we’d love to show you what we’re building](https://www.shipoway.com).",
"url": "https://www.ycombinator.com/launches/Vpn-oway-building-the-internet-of-industrials",
"votes": 23,
"created_at": "2026-10-15T15:50:53.501Z"
}
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"long_description": "We’re about to see an influx in the AI-led discovery of new medicines, specialty chemicals, and materials. This means the bottleneck will shift from R&D, to the scale-up of these new recipes. Unfortunately, designing these production systems and making sure they can be operated safely is an expensive and labor-intensive ordeal that involves thousands of pages of drawings where one mistake can cause millions of dollars in rework or even disasters. Outerport solves this by helping engineering firms automate the design of the industrial control systems needed for production scale-up, using a domain-specific language for electrical design with thousands of unit tests that verify performance, and building simulators that can ingest already built schematics of plants to help automate comissioning and help train operators to prevent costly mistakes.",
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"user_id": 231327,
"full_name": "Towaki Takikawa",
"title": "Founder/CEO",
"founder_bio": "Ex-Research Scientist at NVIDIA, working on R&D for simulation (neural fields, 3D computer vision, 3D generative models). Previously worked in robotics (systems engineering / electro-mechanical design) and manufacturing (operating various CNC machines 😎).",
"is_active": true,
"linkedin_url": "https://linkedin.com/in/tovacinni",
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"title": "Member of Technical Staff, Computer Vision / Graphics",
"url": "https://www.ycombinator.com/companies/outerport/jobs/XyfMWG2-member-of-technical-staff-computer-vision-graphics",
"location": "San Francisco, CA, US / Tokyo, JP",
"type": "Full-time",
"role": "Engineering",
"role_type": "Machine learning",
"salary_range": "$100K - $200K",
"equity_range": "0.50% - 3.00%",
"experience": "Any (new grads ok)",
"visa": "US citizen/visa only",
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},
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"title": "Member of Technical Staff, Tokyo Deployed",
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"location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)",
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"equity_range": "0.50% - 3.00%",
"experience": "3+ years",
"visa": "US citizen/visa only",
"skills": [
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},
{
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"title": "Member of Technical Staff, Process Engineering",
"url": "https://www.ycombinator.com/companies/outerport/jobs/xNvEant-member-of-technical-staff-process-engineering",
"location": "San Francisco, CA, US / Tokyo, JP / Remote (US)",
"type": "Full-time",
"role": "Engineering",
"role_type": "Chemical engineering",
"salary_range": "$60K - $200K",
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"experience": "3+ years",
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},
{
"id": 95320,
"title": "Business Development / Operations, Tokyo",
"url": "https://www.ycombinator.com/companies/outerport/jobs/xOHQwfu-business-development-operations-tokyo",
"location": "Tokyo, JP",
"type": "Full-time",
"role": "Sales",
"role_type": null,
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"experience": "1+ years",
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},
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"id": 114954,
"title": "Member of Technical Staff, DSL for Automation & Electrical CAD",
"url": "https://www.ycombinator.com/companies/outerport/jobs/sRFUnQ9-member-of-technical-staff-dsl-for-automation-electrical-cad",
"location": "San Francisco, CA, US / Tokyo, JP / Remote (US; JP; CA)",
"type": "Full-time",
"role": "Engineering",
"role_type": "Backend",
"salary_range": "$100K - $300K",
"equity_range": "1.00% - 5.00%",
"experience": "6+ years",
"visa": "US citizen/visa only",
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"name": "Dartboard",
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"website": "https://dartboard.ai",
"all_locations": "San Francisco, CA, USA",
"long_description": "Dartboard is the modern remote operations center for hardware fleets. We pair expert operators with AI agents to identify, diagnose, and fix issues faster.",
"one_liner": "AI-native remote operations center for hardware fleets",
"team_size": 2,
"industry": "Industrials",
"subindustry": "Industrials",
"launched_at": 1739492408,
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"Industrial"
],
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"isHiring": false,
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"batch": "Winter 2025",
"status": "Active",
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"America / Canada"
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"stage": "Early",
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"url": "https://www.ycombinator.com/companies/dartboard",
"api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/dartboard.json",
"year_founded": 2024,
"city": "San Francisco",
"country": "US",
"linkedin_url": "https://www.linkedin.com/company/dartboard-ai/",
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"app_video_url": null,
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"primary_partner": {
"name": "Jared Friedman",
"url": "https://www.ycombinator.com/people/jared-friedman"
},
"founders": [
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"user_id": 44103,
"full_name": "Rohun Ati",
"title": "Founder/CEO",
"founder_bio": "CEO at Dartboard. 10th employee and data scientist at Second Measure (YC S15), stayed through its acquisition by Bloomberg. Built the data pipelines for a first-to-market credit card transaction dataset, now powering the Bloomberg Terminal. Later worked at AutoGrid forecasting battery revenues across U.S. power markets. Built ERCOT benchmarking software used by utility-scale battery operators including Spearmint Energy and UBS.",
"is_active": true,
"linkedin_url": "https://www.linkedin.com/in/rohunati",
"x_url": "https://twitter.com/rohunati",
"avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1797a7c71f5ed6498665c5cf7dde48d71e005ff5.jpg"
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"launches": [
{
"id": 87687,
"title": "Dartboard Energy: AI Analyst for Electricity Markets",
"tagline": "Uncover missed revenue for grid-connected battery owners while staying compliant",
"body": "We’re building an AI Analyst for Electricity Markets, starting with the owners of grid-connected battery projects.\\\n\\\n\n\n**Context**\n\nBattery owners earn revenue by charging (buying) and discharging (selling) power in electricity markets.\n\nThe goal is to maximize revenue within constraints – some of which are physical, like battery capacity, duration, and efficiency, while others are regulatory. This is challenging because (1) markets are volatile and (2) complex and frequent regulatory updates make it difficult to assess both the revenue impact of rule changes and compliance risks.\n\n**Problem**\n\nTo make money on the grid, battery owners must analyze market data and keep up with thousands of constantly changing regulatory documents. Electricity markets work like auctions -- every 5 minutes, battery owners decide how much power to buy or sell and at what price. Even the most data-savvy teams can’t keep up, leaving owners with little visibility into how others are making money. And rule changes aren’t just small tweaks – they can completely upend the market. To avoid financial penalties, battery owners spend millions on lawyers and consultants just to stay compliant.\n\n**Solution**\n\nDartboard is an AI Analyst that uncovers missed revenue for owners of grid connected batteries while ensuring compliance. We provide value in two key ways:\n\n* **Market Intelligence:** We ingest historical market data so that owners can evaluate optimization strategies and uncover money they might be leaving on the table.\n* **Regulatory Guidance:** Our AI Analyst, trained on the latest rule changes, translates complex regulations into clear, actionable insights — helping owners navigate compliance without the need for expensive consultants.\n\n**Asks**\n\nIf you know any developer/owner/operators of grid-scale battery projects, energy traders, or energy-focused private equity investors, we’d love to meet them. Please reach out at [**rohun@dartboardenergy.com**](mailto:rohun@dartboardenergy.com).\n\n\n\n",
"url": "https://www.ycombinator.com/launches/MoJ-dartboard-energy-ai-analyst-for-electricity-markets",
"votes": 23,
"created_at": "2025-02-14T01:49:36.560Z"
}
]
},
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"id": 30230,
"name": "SalesPatriot",
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"all_locations": "San Francisco, CA, USA",
"long_description": "SalesPatriot deploys supply chain superintelligence into distribution, original equipment manufacturing, and procurement. By embedding AI in the teams that run quote to cash workflows, we turn email chains, ERPs, websites, spreadsheets, and portals into a unified transactional layer, so critical parts reach the production line faster.\r\n\r\nThe West’s advantage depends on supply chains that work. We build and deploy the software that makes them work.",
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"isHiring": true,
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"regions": [
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"stage": "Early",
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"year_founded": 2024,
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"country": "US",
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"url": "https://www.ycombinator.com/people/jared-friedman"
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"title": "Founder/CEO",
"founder_bio": "Helping manufacturers win DoD RFQ solicitations. Full-stack & Sales",
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"linkedin_url": "https://www.linkedin.com/in/nelson-ray/",
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},
{
"user_id": 2376143,
"full_name": "Ben Rhodes-Kropf",
"title": "Founder/CTO",
"founder_bio": "Ben, Co-Founder & CTO, started programming at the age of nine. Before starting SalesPatriot, he researched quantization techniques of LLMs at MIT’s Han Lab, and started his first company Trace. He also applied his AI skills to synthetic data research he pursued in collaboration with DARPA. Ben's grandfather and great grandfather were both Air Force pilots. He hopes to uphold their legacy by helping today’s defense efforts through SalesPatriot.",
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},
{
"user_id": 2228575,
"full_name": "Maciej Szymczyk",
"title": "Founder",
"founder_bio": "Maciej grew up in Poland, graduating with a maximum score (45/45) in the International Baccalaureate Diploma Program. He then came to Berkeley on a full scholarship from Rafal Brzoska Foundation to study Electrical Engineering & Computer Science, Business Administration, and Mathematics through the Management, Entrepreneurship, & Technology program.\n\nBefore college, he did ML research at the Human Brain Project and worked on InPost's Data & AI algorithms.",
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],
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{
"id": 84628,
"title": "Senior Software Engineer (Warsaw)",
"url": "https://www.ycombinator.com/companies/salespatriot/jobs/qq3lU2s-senior-software-engineer-warsaw",
"location": "Warsaw Office",
"type": "Full-time",
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"equity_range": "0.01% - 0.02%",
"experience": "3+ years",
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},
{
"id": 91296,
"title": "Full Stack Engineer (San Francisco)",
"url": "https://www.ycombinator.com/companies/salespatriot/jobs/dF4EdOK-full-stack-engineer-san-francisco",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Engineering",
"role_type": "Full stack",
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"equity_range": "0.15% - 0.20%",
"experience": "3+ years",
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},
{
"id": 95429,
"title": "Forward Deployed Engineer",
"url": "https://www.ycombinator.com/companies/salespatriot/jobs/M46X6YX-forward-deployed-engineer",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Engineering",
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"equity_range": "0.05% - 0.10%",
"experience": "Any (new grads ok)",
"visa": "US citizen/visa only",
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},
{
"id": 101687,
"title": "Business Development Representative",
"url": "https://www.ycombinator.com/companies/salespatriot/jobs/pUPuVf2-business-development-representative",
"location": "Hybrid",
"type": "Full-time",
"role": "Sales",
"role_type": null,
"salary_range": "$80K - $250K",
"equity_range": "0.01% - 0.02%",
"experience": "1+ years",
"visa": "US citizen/visa only",
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},
{
"id": 109776,
"title": "Account Executive",
"url": "https://www.ycombinator.com/companies/salespatriot/jobs/yYqGTGD-account-executive",
"location": "San Francisco, CA, US / Remote (US)",
"type": "Full-time",
"role": "Sales",
"role_type": null,
"salary_range": "$70K - $300K",
"equity_range": "0.05% - 0.10%",
"experience": "3+ years",
"visa": "US citizen/visa only",
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},
{
"id": 114413,
"title": "Lead Forward Deployed Engineer",
"url": "https://www.ycombinator.com/companies/salespatriot/jobs/2QEhkK1-lead-forward-deployed-engineer",
"location": "San Francisco, CA, US",
"type": "Full-time",
"role": "Engineering",
"role_type": "Full stack",
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"equity_range": "0.10% - 0.20%",
"experience": "3+ years",
"visa": "US citizen/visa only",
"skills": []
},
{
"id": 115613,
"title": "Software Engineer (Warsaw)",
"url": "https://www.ycombinator.com/companies/salespatriot/jobs/dk1kZCc-software-engineer-warsaw",
"location": "Warsaw, Masovian Voivodeship, PL",
"type": "Full-time",
"role": "Engineering",
"role_type": "Full stack",
"salary_range": "$60K - $90K",
"equity_range": "0.01% - 0.01%",
"experience": "3+ years",
"visa": "US citizenship/visa not required",
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},
{
"id": 115614,
"title": "Engineering Lead (Warsaw)",
"url": "https://www.ycombinator.com/companies/salespatriot/jobs/dFfNIZr-engineering-lead-warsaw",
"location": "Warsaw, Masovian Voivodeship, PL",
"type": "Full-time",
"role": "Engineering",
"role_type": "Full stack",
"salary_range": "$135K - $150K",
"equity_range": "0.02% - 0.05%",
"experience": "6+ years",
"visa": "US citizenship/visa not required",
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}
],
"news": [
{
"title": "We've raised $5M and we're hiring",
"url": "https://salespatriot.com/blog/5-million-seed-funding",
"date": "Oct 28, 2025"
}
],
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},
{
"id": 30305,
"name": "Forge Automation",
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"website": "https://www.forgeautomation.ca",
"all_locations": "Toronto, ON, Canada",
"long_description": "Forge Automation runs software enabled factories that deliver custom metal parts in four days or less. Instead of mechanical engineers having to wait two to three weeks for their low volume CNC parts, they can simply upload a CAD model on our platform and we will ship it out in four days or less. We aim to give mechanical engineers the \"Amazon experience\" for custom metal parts.",
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"industry": "Industrials",
"subindustry": "Industrials -> Manufacturing and Robotics",
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"body": "https://youtu.be/cPNXStE7LcE\n\nCascade Space was founded to build the ground station company of the future. But lack of large dishes is not the only thing broken about space communications, so are the design tools. \n\nIndustry standard spreadsheets are painful to build and maintain and error prone, but they can at least get you started. That said, they completely break down once you need to predict how your spacecraft will perform in real world dynamic environments, analyzing multiple variations of a system, or sharing and keeping the design updated across teams.\n\n\n\nEvery space company eventually starts to build internal tooling to parse 3D antenna patterns and scripts to evaluate link performance over given flight trajectories. This is usually unplanned work done by RF engineers that takes months to get even a rudimentary implementation up and running. This software is very bespoke and often brittle, and makes the tight timelines of early stage companies even tighter.\n\nAcross the industry this work gets duplicated over, and over, and over. \n\n**Enter Cascade Designer**. The pipeline is already built. Start by designing your system in a graphical interface, get your link margin with a single button click. \n\n\n\nNext, analyze entire trajectories with a single API call. \n\n\n\nDesigns can be shared with anyone on your team through our interface\n\n\n\nWe built this out because the customers of the best ground network need the best design tools, but we didn’t just build this for our ground station customers. Anyone designing a spacecraft for any orbit using any ground station can use it. \n\nVisit our website to learn more and book your demo: https://cascade.space/designer/",
"url": "https://www.ycombinator.com/launches/P2C-cascade-designer-spacecraft-communication-system-design-software",
"votes": 18,
"created_at": "2025-12-16T12:01:40.937Z"
},
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"id": 90423,
"title": "Cascade Space - Deep space communications as a service",
"tagline": "Your next lunar mission just got easier!",
"body": "# tl;dr\n\nCascade Space is building a turn-key communications system for lunar and deep space missions. Our ground station network and integrated software tools work together to maximize uptime and availability, while reducing spacecraft iteration cycles from weeks to hours. \n\n\n\n**Why are we building this and why now?**\n\nThe Deep Space Network (DSN), NASA’s global network of ground terminals for communicating with deep space probes, is [oversubscribed by 40% and in desperate need of upgrades.](https://newspaceeconomy.ca/2024/09/02/nasas-deep-space-network-challenges-and-the-road-ahead/) The DSN is all but unavailable for most commercial operations. Companies with missions going to the Moon and beyond have to deal with a patchwork of individual dish operators for every mission, each with bespoke hardware, specs, and interfaces. Furthermore, many of these commercial providers are not able to handle the demand and [operational failures also can lead to loss of mission](https://www.astroforge.com/updates-collection/odint-mission-debrief).\n\n\n\n**Comms system design is fraught with peril**\n\nThe spacecraft comms system design is tightly coupled to the available ground network. Engineers spend hundreds of hours poring over datasheets, on the phone with vendors and suppliers, and endless email threads, only to put all this data into a giant spreadsheet to make sense of it. Every iteration requires not only painful attention to detail, but also in-depth esoteric knowledge of how radio frequency systems and channel coding schemes work in order to accurately predict in-flight performance. Simple misunderstandings can lead to catastrophic errors in design and configuration.\n\n\n\n**End-to-end comms system validation often doesn’t happen**\n\nFully integrated testing between the spacecraft and ground terminal is typically cost prohibitive. Instead, engineers compare spec sheets and email configurations to the ground operators, and hope it works in flight (spoiler alert: it often doesn’t). It is routine for spacecraft to fly having never done an end-to-end test of their system with ground terminal representative hardware. The whole process is subject to human error from end to end. \n\n**This approach to space communications does not scale**\n\nCommercial space ventures beyond low earth orbit have already pushed existing infrastructure to its breaking point, and demand for deep space comms support is expected to grow exponentially over the next decade. We will not have a spacefaring future for humanity until communications for spacecraft become as easy as signing up for cable internet. \n\n**We are redefining the process, starting with spacecraft design**\n\nBetter comms starts at the beginning, in the early trade study and design phase. We are replacing industry-standard spreadsheets with a modern software tool that lets you see how your system will perform with our ground network in real time.\n\n\n\n**Test as you fly, fly as you test**\n\nYou don’t rise to the level of your expectations, you fall to the level of your testing. We ship you a “ground station in a box,” identical to hardware we’ve installed at the ground stations you will be using, and provide you with a test plan that you can use to test your entire system end to end, with both the space vehicle and the ground terminal in the loop. \n\n**Launch with confidence**\n\nFly and operate your spacecraft. Use our API to schedule passes on our network, track your spacecraft, stream data, monitor the ground site, and access recordings.\n\n\n\n**We are rolling out our preliminary network rapidly**\n\nWe start by partnering with owners of dishes that are currently unused for any other telemetry applications. This allows us to build out the product and acquire customers with a minimal amount of capital. As we build out the network, we will further expand our network by strategically building our own ground stations in key locations. Our first downlink only ground stations are expected to come online in 2025, with more to follow in 2026.\n\n**We are passionate about your mission success**\n\n[Jacob](https://bookface.ycombinator.com/company/30556) and [Arlen](https://bookface.ycombinator.com/user/2222230) have solved many of these exact problems at company level scales in previous roles. Jacob was RF system architect at SpaceX and Arlen has built complex hardware/software systems his entire career. Collectively they have spent hundreds of hours in mission control, many of those hours dealing with anomalies and outright failures. They are both passionate about building the culture of excellence at Cascade that is required for flawless mission execution.\n\n**If you are struggling with comms for your upcoming mission, drop us a line. We can help.**\n\nhttps://cascade.space/",
"url": "https://www.ycombinator.com/launches/NWR-cascade-space-deep-space-communications-as-a-service",
"votes": 84,
"created_at": "2025-05-15T14:54:19.097Z"
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"title": "Normal - Vanta for Hardware",
"tagline": "Automated hardware testing & compliance, saving 50x the time",
"body": "LLMs have made building hardware easier, proving it's safe to sell is still hard. We automate hardware certification: from drones to robots. Cutting compliance hours for teams 50x.\n\n[normalfactory.com](https://www.normalfactory.com/?utm_source=yc)\n\nhttps://youtu.be/51bFkdSyNvA\n\n**The Problem:**\n\n* **Certification are critical, non-core work** - Teams (often the Chief Engineers) spend days parsing standards\n* **It’s not clear what you actually need** - Compliance can be opaque, often requiring expensive consultants to decipher\n* **Labs take long to book** - Third party labs can be unresponsive without insider connections\n* **You can’t sell without them** - Not having the right certifications is gating \n\n\n\n**What We’re Building:**\n\n* **Certification roadmap to sell:** Clear, market‑specific path (what to test, in what order, and why)\n* **Automated lab bookings & logistics:** We handle scheduling, sample coordination, and paperwork end‑to‑end\n* **Live test tracking:** Visibility into progress, blockers, and results\n* **Technical file generation:** Auto‑assembled technical files and audit packs ready for submission\n\n\n\n**Who We Are**\n\nEngineers of both software and hardware! We’re Waterloo grads, previously working at AI labs, published in Nature for pulsed power research, and going extremely viral on the internet.\n\n**OUR ASK: Do you know of any hardware teams looking to spend less time on compliance? Please connect us!**\n\nWe’ve helped teams go from 0 to fully certified in weeks. We are now serving hardware teams for FCC / CE / UL / ASTM at [normalfactory.com](https://normalfactory.com?utm_source=yc) or [founders@normalfactory.com](https://mailto:founders@normalfactory.com)!",
"url": "https://www.ycombinator.com/launches/OF7-normal-vanta-for-hardware",
"votes": 29,
"created_at": "2025-08-20T17:07:25.899Z"
}
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"title": "F4 - The GD&T Analysis Platform for Engineering Drawings",
"tagline": "(without using AI for analysis!)",
"body": "GD&T takes years to master, and even experienced engineers can interpret the same drawing differently. When design intent is unclear, issues tend to surface later in interface stack-ups, manufacturing, or worse, in the field where fixes become far more expensive.\\\n\\\nWe built F4 to address that. \\\n\\\nF4 - The GD&T Analysis Platform for Engineering Drawings\\\n\\\nUpload a drawing and 3D model and F4 analyzes the GD&T to assess whether the design is clear, manufacturable, and inspectable. Engineers can visualize datum reference frames and tolerance zones directly on the 3D model, instantly calculate stack-ups from the drawing, and identify issues before they become costly problems.\\\n\\\nF4 also generates the reports teams need to move forward, including stack-up tables and FAI documentation.\\\n\\\nAll analysis runs locally on-device using deterministic algorithms, producing reliable results engineers can trust. \\\n\\\nWatch the video below to see how it works. \n\n\\\n\\\nTo evaluate whether your designs are truly production ready, book a demo of the F4 Enterprise platform on [**https://f4.dev**](https://f4.dev) and see our full GD&T coverage.\\\n\\\nOr try F4 Lite at - our advanced PDF engineering drawing viewer built to replace browsers and tools like Acrobat for reviewing prints!",
"url": "https://www.ycombinator.com/launches/PmE-f4-the-gd-t-analysis-platform-for-engineering-drawings",
"votes": 20,
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{
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"title": "F4 - Automated compliance checks for engineering drawings",
"tagline": "We help hardware teams 10x how they redline & interpret engineering drawings",
"body": "# **What is F4 in a nutshell?**\n\nWe’re helping hardware-rich teams 10x how they redline and interpret engineering GD&T drawings. With backgrounds at Tesla and SpaceX, we’re building a platform that finally treats drawings like code—automatically validating every dimension, tolerance, and GD&T symbol against standards so noncompliance is caught instantly.\n\nhttps://youtu.be/SYzqZ4XWmCA\n\n\n\n# **The Problem & Why We Built F4**\n\nDrawing literacy is one of the weakest skills across hardware teams. Yet drawings are made every day.\n\nThese aren’t just illustrations—they’re effectively business contracts between designers and manufacturers, defining what’s acceptable in production. Drawings carry the bulk of design intent—fit, form, function, and fabrication—and act as the important source of truth across production, quality, and supply chain.\n\nGD&T standards from ASME and ISO exist to formalize this communication. But they’re dense and confusing. Across major revision years, there are thousands of pages of definitions, edge cases, and revision quirks. Designers are expected to know it all, leads are expected to catch every mistake, and suppliers are expected to interpret drawings flawlessly. One mistake means scrap, delays, or worse.\n\n# **Our Solution**\n\nWhy is something so critical still so manual? Why can’t drawings be validated and interpreted more quickly and robustly —like code? Why can’t hardware dev be more like software dev?\n\nWe’re changing exactly that!\n\nF4 treats drawings like code—they either execute or fail immediately. Our platform checks every dimension, tolerance, and GD&T symbol against standards in real-time, ensuring full compliance before a drawing ever reaches the floor. No more total reliance on manual redlining and reviews.\n\n\n\nF4 ensures engineers never release noncompliant drawings—and suppliers never misinterpret them. F4 helps industrial teams eliminate costly scrap, rework, and miscommunication at the root.\n\n# **How It Works**\n\n1. Upload a drawing (dxf…and very soon pdf)\n2. Select GD&T standard of choice (ASME Y14.5 - 1994, 2009, & 2018)\n3. Get instant compliance score graded against a desired GD&T standard using **deterministic logic**\n4. Get recommendation to correct any asset (FCF, FOS, datum, basic, modifier, and/or dimension) of the drawing that is noncompliant with references to ground-truth sources\n5. With a compliant drawing - get standard definition, inspection plan, and tolerance analysis interpretations on any drawing asset of interest\n\n\n\n## **Hardware Platform Built by Hardware Engineers!**\n\nI worked at Tesla as a Mechanical Design Engineer and took 6 parts from clean sheet design to production for the CyberCab and SEMI drive system programs. I was also the lead engineer for Tesla’s global drive unit heat exchanger program with +3 million unit annual production volume.\n\nAidan worked at SpaceX as an Avionics Test Engineer, where he designed and owned testing hardware (PCB boards and testing apparatus) for the Raptor 3 Engine - the most advanced rocket engine in the world. \n\nIn college, we led The University of Alabama’s Rocket Team where we achieved the university’s first-ever liquid rocket engine hotfire! I built the rocket engine and Aidan built the electrical/software for our propulsion system.\n\nhttps://youtube.com/shorts/rBwsqu_sdeg?si=RgRU_eqib7_-qLcV\n\n## **Ready to Ditch Manual Redlining?**\n\nIf you're tired of pretending to be good at GD&T:\n\n* Email us: [paul@f4.dev](mailto:paul@f4.dev) and [cantu@f4.dev](mailto:cantu@f4.dev)",
"url": "https://www.ycombinator.com/launches/ODz-f4-automated-compliance-checks-for-engineering-drawings",
"votes": 22,
"created_at": "2025-08-18T23:37:02.733Z"
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"body": "👋 Hey all! We’re Warren and Cole -- co-founders of [Rebulk](https://rebulk.com)**.**\n\n**TL;DR**\n\nBulk inventory is hard to track. Most companies still rely on rough estimates or expensive surveys that often miss the mark. We built Rebulk to fix that. Our drones and cameras scan your site and create a precise 3D reconstruction, so you always know exactly how much material is on the ground. We’ve got real-world experience and are already working with a major ag distributor. Know someone in ag, mining, or construction who deals with bulk materials? Send them our way: [founders@rebulk.com](mailto:founders@rebulk.com)\n\n**Problem**\n\nBulk inventory tracking is broken. Companies either rely on guesstimates or pay for expensive manual surveys which are still off by 20 to 30 percent. Without accurate numbers, it’s hard to plan logistics, like how many truckloads are needed. And it creates accounting issues by misreporting inventory value, hurting financial planning and leading to missed opportunities.\n\n**Solution**\n\nRebulk figures out what your inventory is, turns it into a 3D reconstruction, and tells you exactly how much you have, in both volume and weight. If your piles are smaller and indoors, like in a shed, we’ll use a fixed camera. If they’re bigger and outside, we’ll fly a drone to map them. And we don’t just stop at giving you the numbers. We plug into your system so the data helps you make real decisions, not just sit in a spreadsheet.\n\n**The Team**\n\nWe’ve lived this problem, and we know how to solve it. Warren saw it firsthand as a Product Manager at Milk Moovement, a Series A AgTech startup, working closely with bulk feed suppliers and managers to plan logistics. He also launched drone delivery programs at Chick-fil-A.\n\nCole was Head of Engineering at an AI startup and engineer #3 at Tropic, where he helped scale the company from seed to Series B. He started his career building aviation products at Garmin. That mix of hands-on technical work and leading high-performing teams is exactly what we need to build reliable tools that work in the real world.\n\n\n\n**Traction**\n\nWe’re already working with one of the largest agricultural feed distributors to roll out our solution.\n\n**Ask**\n\nIf you know anyone in agriculture, mining, or construction who works with bulk materials, let us know! Even if it’s something we haven’t mentioned, or if you’re not sure counts as bulk inventory, we’d still love to learn more. We’re always curious and often surprised by the types of bulk inventory that don’t live in traditional boxes and barcodes.\n\nContact us at: [founders@rebulk.com](mailto:founders@rebulk.com)\n\n\n\n",
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"body": "Hey everyone, we’re [Eoin ](https://www.linkedin.com/in/eoincobbe)and [Robert](https://www.linkedin.com/in/robert-cormican-a4405990), co-founders of Forge Robotics.\n\nWe are completely changing the way that metal fabrication is done. Companies can no longer afford to deal with massive labour shortages and rising costs of outdated processes. Forge is on the journey to enable companies to take in raw stock metal and output completed metal parts without human intervention.\n\n# TL;DR\n\nForge is building a system that turns dumb, human-programmed industrial welding robot arms into autonomous members of the workforce.\n\nFrom here, we will deliver autonomous factory units that handle all processes in metal fabrication, from handling cut parts and positioning them for assembly, to welding and cleaning up final assemblies.\n\nTo get involved, contact us @ [eoin@forge-robotics.com](https://eoin@forge-robotics.com)\n\nhttps://www.youtube.com/watch?v=5vxp75bUlIY&t=38s\n\n# 🏭 The Problem\n\nManufacturing is an industry that has been all but left behind for the past 20 years compared to the advances in software development, self-driving vehicles, and all other fields that AI has revolutionised.\n\n**Labour shortages**\n\nManufacturing of defence equipment, construction machines, and automotive make up the backbone of much of the American economy. In the U.S, there are 400,000 unfilled welding positions, and that is expected to rise to 600,000 by 2030.\n\n**Push to reshore**\n\nOEMs and Tier 1 manufacturers are pushing to reshore their manufacturing, but traditional methods of operation mean that they are failing to operate profitably when competing with manufacturing in offshore economies.\n\n**Failure of current automation**\n\nCurrent industrial robots can only achieve a very narrow set of well-defined manufacturing tasks because of the way robots are programmed. Traditionally programmed welding robots end up with around 10% of parts needing rework due to the delta in geometry from part to part.\n\n\n\n# 🦾 Our solution\n\nForge provides a vision system and robotic intelligence that creates a sub-mm map, identifies all features and weld seams, and autonomously controls the welding robot arms.\n\nMetal fabrication companies will now:\n\n* No longer have to **manually program** robotic arms\n* Achieve **99% first pass line yield**, up from the current 90%\n* Use robotic welding arms in many previously infeasible situations\n\n\n\n# ♾️ Fully autonomous production\n\nUsing the manufacturing intelligence system that we are working on for factories today, we will be delivering fully autonomous modular factory units that handle all of the metal manufacturing processes to take raw steel parts to finished welded assemblies. Saving companies **Tens of millions** per year by changing the way they manufacture.\n\n# 🤝 Ask\n\nCan you introduce us to companies in the metal manufacturing industry? We are currently taking on as many pilot customers as we can!\n\nIf this is a future that excites you and you want to find out how you can be part of it 👉Contact Eoin @ [eoin@forge-robotics.com](https://eoin@forge-robotics.com)\n\nFind out more @ [www.forge-robotics.com](https://forge-robotics.com/)",
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