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    "name": "Swish",
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    "long_description": "Kickstarter for physical products. Shop exclusive product launches.",
    "one_liner": "Kickstarter for physical products.  Shop exclusive product launches.",
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    "one_liner": "The shipping infrastructure of the internet.",
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        "url": "https://www.freightwaves.com/news/flexport-raises-260m-from-shopify",
        "date": "Jan 19, 2024"
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        "url": "https://www.cnbc.com/2023/05/09/flexport-disruptor-50.html",
        "date": "May 09, 2023"
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        "location": "San Francisco, CA, US / Chicago, IL, US / Remote (San Francisco, CA, US; Chicago, IL, US)",
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      {
        "title": "ShipBob nabs $200M at a $1B+ valuation to help e-commerce companies run logistics like Amazon’s – TechCrunch",
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    "team_size": 67,
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        "full_name": "Jonathan Friedman",
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    "name": "99minutos",
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        "answer": "99minutos idea came when 2 friends and I went to a hookah bar and have some beers. When we got there they told us they ran out of charcoal for the hookah, so we said “We came here for that, is there anywhere we can order and receive it now?”, that is when we realized that the concept of fast delivery for e-commerce didn’t exist not only in mexico but in the world. So next day we launched an e-commerce store called 99minutos where anything you bought there got delivered in less than 99 minutes within mexico city. A couples of months later my 2 friends left the company so i remained as solo founder and the pivot the company, got rid of the e-commerce and focused only in the delivery."
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        "answer": "Applying to YC was game changer for our company. We applied for W20 even though the company had already 5 years up and running, at the time the company’s value was much higher than the 7% that YC gets if you enter. But at that time as Latin founder it was nearly imposible to raise more than 2M in mexico without external or US funds, so getting in was a strategy to gain traction with VC’s that had more than 2M.The batch was amazing, the group and mentors where great and we raised 5M that we needed in 3 days out of zoom calls and SAFE’s which was absolutely surreal for me. "
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        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "We have several chats where all the companies are and everybody get’s in touch through there. Quite easy"
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        "answer": "We started as an ecommerce 8 years ago trying to solve quick delivery but the ecommerce was the seller that we needed to offer fast delivery, the we decided to get rid of the ecommerce because it was already a market difficult to compete in. We started creating all the technological advances in a delivery experience that non of the huge delivery companies have not even today. 1 year later after creating the base for the company we received a 1M investment from a logistic consultant company…. this is a long story but to make it short we almost went bankrupt for 3 years due to this investor until in 2018 we were able to buy our shared back from them and that is when the company really kicked off. For me those 3 years were the years i most learned of my bad decisions, but it helped the company have great margins due to the fact that our investor was going bankrupt and couldn’t pay us for the sales we made. So 2018 the company grew to chile, started opening more cities and not only operating them locally but also connecting them. 2019 we tried to raise a 5M round already selling more than 5M a year and having positive ebitda, but back in 2019 there where no international investor or at least active for mexico so it was very difficult to raise money, we decided to apply to yc and got in. We raised 5M in 3 days in Safe’e something that was really new for us. 2020 we continued our growth, 2021 we raised 25M from kaszek and Prosus, opened 4 more verticals: fulfill99, ruta99, punto99 and Cash99. 2022 we raised 82M from Oak hcSo now we have operations in 4 countries, more than 70 cities combined, more than 8k employees, still growing 3X every year ."
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        "answer": "Have a prime experience in any logistical solution from your ecommerce. At first is was just fast, cheap and reliable, when we launch the average delivery time in mexico was 12 days. Now most companies have fast delivery but 99minutos give the entire logistics circle for ecommerce so you can give your customers a amazon prime style delivery without selling in those marketplaces. Where we will handle their inventory, delivery in hours, full visibility, more drop off pick up points than all delivery companies combined, we offer cash on delivery, saas for routing tools, etc."
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        "answer": "Being the best ecommerce logistics solution in latin america. When we succeed we will have first world solution for a 3rd world coountries."
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        "title": "Inventory LogIQ: AI-enabled inventory planning for multi-channel consumer brands",
        "tagline": "A planning copilot that surfaces SKU level insights to prevent stock-outs and reduce excess inventory",
        "body": "<https://inventorylogiq.com/>\n\n**PROBLEM**\n\nModern consumer brands that are not able to utilize their inventory well due to uncertainties of multi-channel demand and procurement lead times are at the verge of bankruptcy:\n\n1. **Excess inventory eating into bottom-line** due to high holding cost\n2. **Revenue losses due to Frequent stock-outs** caused by uncertainties in demand, and procurement lead times\n3. Unoptimized placement of inventory leading to **slow shipping speed, and high last-mile costs**\n\n**SOLUTION**\n\n[Inventory LogIQ](https://inventorylogiq.com/) uses AI to dynamically segment SKUs to determine their right placement location, and factors in uncertainties of demand and procurement to automate:\n\n* **Liquidation Plan:** Quickly identify slow-selling items that contribute to inventory bloat, resulting in high inventory holding costs and inflated operational expenses. By optimizing the inventory levels of these items, our tool helps brands reduce excess inventory and increase profitability\n\n  ![uploaded image](/media/?type=post&id=71128&key=user_uploads/355823/669cdd4c-e33a-4f9b-812f-9fd4905dc055)\n\n* **Replenishment Plan:** Our tool proactively identifies fast-selling items at risk of stock-outs, preventing lost sales opportunities and ensuring a seamless customer experience\n\n  ![uploaded image](/media/?type=post&id=71128&key=user_uploads/355823/be07f00a-5c7f-4574-8685-814d6913663f)\n\n* **Network Optimization Plan:** Our solution enables brands to strategically store the right products at the right locations, in the right quantities. By aligning inventory with demand centers and customers' geographical locations, our tool minimizes shipping timeframes and costs, leading to improved customer satisfaction and loyalty.\n\n  ![uploaded image](/media/?type=post&id=71128&key=user_uploads/355823/5b24109c-e603-4e8a-8b1d-bb6b1db7ec5a)\n\n\n**DEMO**\n\n[InventoryLogIQ demo](https://www.youtube.com/watch?v=iRJUbrn9LLQ)\n\n**WHY US**\n\n* Team led by Supply Chain & Data Science experts from companies like **Pitney Bowes, Walmart & Delhivery** with experience of managing $20 BN+ annual GMV\n* Model trained on 500+ brands across verticals and market segments\n* Integration support across all major ERPs, D2C stack, Accounting softwares\n\n**ASKS**\n\n* If you are interested or have any feedback to share, please write to me at [harsh@wareiq.com](mailto:harsh@wareiq.com)\n* I would appreciate introduction to any ecommerce/retail brand looking to solve their excess inventory/stock-out issues",
        "url": "https://www.ycombinator.com/launches/IVE-inventory-logiq-ai-enabled-inventory-planning-for-multi-channel-consumer-brands",
        "votes": 82,
        "created_at": "2023-04-22T12:21:07.118Z"
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      "Inc.",
      "Zerobroker Technologies",
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      "Zerobroker"
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      "America / Canada"
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        "full_name": "Georgy Melkonyan",
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        "type": "Full-time",
        "role": "Design",
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      },
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        "type": "Full-time",
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        "user_id": 419151,
        "full_name": "Addwiteey Chrungoo",
        "title": "Founder",
        "founder_bio": "2x Founder. Roboticist. Girl dad.\nI build autonomous systems for a living. \nI've also run an actual freight company.\nBuilt self-driving vehicles for mines and highways.\nNow building the infrastructure that automates actions in the physical world.",
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        "title": "Javelin Robotics' vision for autonomous trucks builds on Canadian expertise - Truck News",
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      {
        "id": 68320,
        "title": "🚛 Javelin Robotics - Autonomous trucks helping drivers flourish",
        "tagline": "We are building autonomy software that tag-teams with human drivers",
        "body": "Hi 👋 [Addwiteey](https://www.linkedin.com/in/addwiteey-chrungoo-06693320/) and [Sandesh](https://www.linkedin.com/in/sandeshgwd/) here to introduce [Javelin Robotics](https://www.javelinrobotics.com/).\n\nWe help truckers **cut delivery times in half**, doubling productivity and adding much needed capacity to the freight industry. We do this by building autonomy software that tag-teams _with_ human drivers. \\\n\\\nConventional trucks drive \\~120K miles/year. Trucks with our tech can hit more than 190K miles/year. Since truckers make money by the mile, this has a direct impact on earnings. Watch [video](https://www.youtube.com/watch?v=hL_vNhlEzOM).\n\n### **Why should you care?**\n\nThere is this saying: If its in your home, a truck brought it. Nearly 72% of all freight in America is moved by hard working truckers. 3.5 Million of them. But unfortunately theirs is an ageing pool and not many young folks are joining the workforce. Those who do, frequently quit within a year - a leaky bucket. To add to that, trucks are expected to drive 57% more miles in the coming years to keep up with demand.\n\n### **But aren’t we expecting driverless trucks to solve this?**\n\nTo some extent yes, but fully driverless long haul solutions has its own constraints, new costs, new risks and require **major** operational changes to how freight is moved today (i.e. point to point, direct to destination). Driverless freight needs to be routed via hubs → 2x stops, 2x handoffs and offers limited operational flexibility / geographical reach. Most small and medium carriers need operational flexibility + geographical reach.\n\nSo if we look at driverless trucks as a tool, its clear they are necessary, but we need complementary solutions that seamlessly work for most.\n\n### **The solution**\n\nEngineer autonomy such that it makes our existing drivers most productive and happy. So, we are building autonomy software that’s designed from the ground up to tag-team _with_ human drivers.\n\nWe offer our solution as an end-to-end service: autonomous ready freight search, automated driving in service zones, effortless payments.\n\n![](https://lh4.googleusercontent.com/ohwis2MAaEYhyFZ_A7gxRCUgO6acSak3BzAD5rBNX5T5BDSrnaXTC9vZ9wx9U1AoU0H-rdrt5mfSS5_nxMY0m6f2JWq9UBQApkSzt_TmPPI_1nkfuc6TnjW0JwEa68r6pRSR98LHKrDAu1HHVTRRHrKlhLsj2wArEAh0aZkZfol97pO2knImqZliUBBlPw)\n\nFor truck drivers, having access to our software is like having access to a **second driver that drives on-demand.** This helps increase:\n\n* ⏳ **Productivity**\n* 🚛 **Trucking capacity**\n* 💰 **Driver and fleet revenue**\n\n### **How we are different?**\n\nWe’re _not_ building human-less trucks for a few large carriers.\n\nWe’re building the **most practical and driver friendly** autonomous system to serve 90% of the trucking industry\n\n* Using existing team driving model truckers are familiar with\n* Delivering both operational flexibility and geographical reach\n* _No need for_ new infrastructure, process changes or multiple hand-offs\n* In sync with current US [federal policy](https://www.whitehouse.gov/briefing-room/statements-releases/2022/04/04/fact-sheet-the-biden-administrations-unprecedented-actions-to-expand-and-improve-trucking-jobs/) related to trucker jobs\n* Similar monetary _savings_ for carriers, as driverless.\n\nOur tech stack’s architecture leverages advances in modern AI, making our dev 10x more capital efficient.\n\n### **About the founders:**\n\n![](https://lh4.googleusercontent.com/X6gKAXbkWpIjj_XRuOC_kTd3henCDJAnZNraOJGg1v6OfearPdJ1rUGqM9gtReiDo9PzeAnXXMvS6bRr-6ArDK_N4PoUazl5BK2N1pPmuPwiBPHSzKwQT9Grx8wyb2CszzCyR-OrlqQNduBd8WtyaToOy2qBNLjMljgMxw3-Mblqivn7RclfFEcCgOj0QA)\n\n[Addwiteey](https://www.linkedin.com/in/addwiteey-chrungoo-06693320/) met [Sandesh](https://www.linkedin.com/in/sandeshgwd/) at Caterpillar where they helped bring the world’s largest autonomous trucks into production. Together, they’ve built autonomous trucks for mines and public highways, from scratch.\n\nFor them, It's always been about _robots + people_.\n\n### **How you can help:**\n\nWe would love to chat:\n\n* If you or anyone in your network might be interested in learning more or helping out.\n* If you are a trucker or run a truck co.\n* If you are a shipper looking to ship faster.\n\n**Share this post!**\n\nPlease help spread the word. _(many truckers don’t realize autonomy can actually help)._ We can be reached at [founders@javelinrobotics.com](mailto:founders@javelinrobotics.com)",
        "url": "https://www.ycombinator.com/launches/Hlw-javelin-robotics-autonomous-trucks-helping-drivers-flourish",
        "votes": 16,
        "created_at": "2023-01-10T18:20:09.752Z"
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    "id": 22889,
    "name": "Greywing",
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    "website": "https://grey-wing.com/",
    "all_locations": "Singapore, Singapore; Remote",
    "long_description": "Greywing is a platform for ship operators to automate their business, through actionable intelligence, better data and communication.\r\n\r\nGreywing today serves three product lines to customers:\r\n\r\n*Flotilla* is a monitoring tool for vessels, enabling vessel managers to identify fleet-level patterns and optimizations and to identify risk and liability vectors in advance.\r\n\r\n*CRY4* is an operational tool for individual vessels that allows crew managers, security officers and masters to gather intelligence about a vessels current or proposed route, making decisions about the safest and the cheapest ports of call that a vessel can be directed to.\r\n\r\n*Landfall* is a crew management and analysis system to provide risk reporting and detailed editing capabilities about the crew on-board a vessel.\r\n\r\n*Semaphore* is a port-agent communications tool meant to simplify the process of interfacing with large numbers of port agents while planning a port call.",
    "one_liner": "The Operating System for Maritime",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1614501483,
    "tags": [
      "Hard Tech",
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      "Fully Remote"
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        "title": "Meet the 29-Year-Old Behind TikTok's \"Trucking Newbie\"",
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        "title": "Drivingforce - Rippling for trucking",
        "tagline": "All-in-one workforce management solution for the trucking industry",
        "body": "### **TLDR**\n\nDrivingforce is building “Rippling for trucking”, an all-in-one workforce management solution for the trucking industry. We consolidate multiple back office functions such as compliance, payroll, and recruiting, so trucking fleets can manage their entire workforce in one place.\n\n### **WHY is Rippling (or Gusto, ADP) insufficient for trucking?** \n\nCompliance is uniquely challenging for trucking fleets because:\n\n1. The majority of their workforce consists of truck drivers who are regulated by the Department of Transportation (DOT).\n2. Due to the nature of the labor market, there is a high volume of truck driver turnover within fleets, resulting in a considerable amount of administrative overhead.\n3. In addition to personnel, they also need to manage a number of expensive assets, such as trucks, trailers, etc.\n\nGeneric HR solutions (e.g. Rippling, Gusto, ADP, etc.) are insufficient for trucking fleets because they are not designed to address these distinctive needs. Consequently, fleets resort to adopting various point solutions alongside their HR providers, resulting in increased operational complexity of managing multiple systems.\n\n### **Solution**\n\nDrivingforce is an all-in-one workforce management solution designed for trucking fleets. It consolidates multiple point solutions into a single platform, simplifying compliance, fleet management, and HR operation. Key modules include:\n\n* **Compliance:** Automated monitoring and alerts ensure DOT and regulatory compliance.\n* **HR:** Streamlined onboarding and tracking of essential employee data and documents.\n* **Asset Management:** Efficiently track assets, assignments, and maintenance schedules.\n* **Hiring:** DOT-compliant digital application portal and applicant tracking system (ATS) optimized for driver recruiting.\n* **Payroll:** Seamless payroll processing, accommodating various pay structures like hours, miles, or load.\n\nWith Drivingforce, trucking fleets can effectively manage their back office all within a single platform.\n\n![uploaded image](/media/?type=post&id=72422&key=user_uploads/425869/797d4bd4-c4af-456f-9cbe-629c7a608668)\n\n### **Backstory**\n\nMy path to Drivingforce was not linear, and I had no prior experience in trucking. Previously, I worked on another supply chain idea related to manufacturing, but decided to pivot. While exploring other supply chain sectors, I became intrigued by the trucking industry due to its immense size and potential opportunities.\n\nAs I got started, I reached out to several other trucking founders in the YC community for guidance. Interestingly, a few of them independently shared a similar piece of advice: _\"If you want to learn about trucking, go to truck stops and talk to truckers.”_\n\nTaking their advice to heart, I embarked on a series of visits to truck stops. Along the way, I decided to document my experiences and learnings through [**TikTok, under the name “Trucking Newbie”**](https://tiktok.com/@truckingnewbie). Some of these videos gained traction within the trucking community. As the TikTok account grew, content creation became a unique way for me to engage with users and conduct market research.\n\nDuring my exploration, I consistently heard trucking company owners express their challenges in managing a dynamic workforce. As I delved deeper, I observed how they pieced together various tools and processes to manage their personnel and equipment while trying to comply with DOT regulations. Witnessing their frustrations with juggling multiple systems in their daily operations, the idea for Drivingforce took shape.\n\n![uploaded image](/media/?type=post&id=72422&key=user_uploads/425869/fe60374d-d25c-4e12-8e19-69727d333451)\n\n### **Asks**\n\n* **📣 Share:** Share this post with your network.\n* **🔔 Follow:** Follow us on [TikTok](http://tiktok.com/@truckingnewbie) and [LinkedIn.](https://www.linkedin.com/company/drivingforcehq/)\n* **🤝 Refer:** If you know of any trucking fleets that could benefit from Drivingforce, please connect us ([kevin@drivingforce.co](mailto:kevin@drivingforce.co)).",
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        "title": "Fresh Factory Bangun Jaringan Gudang Pendingin Mikro, Tangani Solusi Cold Chain",
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        "full_name": "David Marquez",
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        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/dayvough",
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        "full_name": "Josh Supan",
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    "id": 27054,
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    "team_size": 30,
    "industry": "B2B",
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    "country": "US",
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        "full_name": "Christopher Howard",
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        "full_name": "Rowan Mockler",
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        "url": "https://www.ycombinator.com/companies/ekho/jobs/oCLZbVi-solutions-architect",
        "location": "New York, NY, US",
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        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 73383,
        "title": "Full-stack Engineer",
        "url": "https://www.ycombinator.com/companies/ekho/jobs/CWY25sq-full-stack-engineer",
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        "title": "Ekho Raises $17.3M from Activant, JPMorgan Payments, Winnebago Industries, YC",
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      {
        "id": 69887,
        "title": "Ekho Dealer: Enabling manufacturers to sell their vehicles online",
        "tagline": "A licensed dealership that manufacturers can integrate into their own website.",
        "body": "**TL;DR We’re a licensed, full-stack distribution solution enabling OEMs to compliantly sell vehicles in the U.S. through their websites, instantly unlocking market coverage.**\n\nHi everyone, we’re [Rowan](https://www.linkedin.com/in/rowan-mockler-198218128/) and [Chris](https://www.linkedin.com/in/chris-g-howard/) - the team behind Ekho Dealer!\n\n![uploaded image](/media/?type=post&id=69887&key=user_uploads/772580/4558af4e-0b89-4496-93c6-51333867f0f9)\n\n# \n\n# **The problem ❌**\n\nIt's legally and logistically complex for vehicle manufacturers and distributors to sell their vehicles online:\n\n* **Franchise laws** mandate that new vehicle sales must be made through a licensed dealer\n* **Traditional dealers** lack online sales support and take 20-30%+ commission\n* **It is illegal** for manufacturers to sell vehicles directly to consumers in most states\n* **In states allowing direct sales**, it’s expensive and difficult to operate compliantly\n\n# **Our solution 🏁**\n\nEkho Dealer enables manufacturers to **compliantly sell their vehicles online** by making it **easy to integrate** our **licensed, full-stack distribution solution**  into their websites.\n\nWith Ekho Dealer enabled, vehicle buyers are able to select a vehicle on a manufacturer’s website and complete the entire purchase process online in minutes. This includes financing, insurance, titling, registering, and scheduling the delivery of their new vehicle (all without visiting a physical dealership).\n\n![uploaded image](/media/?type=post&id=69887&key=user_uploads/772580/5063ac06-f7d3-48a1-8087-1a47418caa42)\n\n# **How it works 🛠️**\n\nOn the backend, we take care of all the complicated regulatory requirements that come with selling vehicles online. This includes calculating and collecting sales tax, filing registration/titling forms and fees with the DMV, maintaining a portfolio of licenses, and complying with lending regulations when providing financing. On the front end, our website integrations leverage our infrastructure to compliantly process vehicle sales.\n\n# **Our backstory 🪞**\n\n* Rowan and Chris met at Stanford where they both studied computer science\n* They built a bunch of fun stuff together while in college\n* Rowan is from South Africa, is a world champion public speaker, and previously worked on the product team at Duolingo\n* Chris is from Atlanta, is a published researcher, and previously worked as a Machine Learning Engineer at Meta\n\n![uploaded image](/media/?type=post&id=69887&key=user_uploads/772580/355353b5-9c41-4e77-bd8d-cafabab91b78)\n\n# **Our ask 🙏**\n\n1. **If you know someone in vehicle manufacturing** (motorcycles, cars, RVs, trailers, ATVs, UTVs, LEVs, NEVs, golf carts, snowmobiles, etc.), ping us at [founders@ekhodealer.com](mailto:founders@ekhodealer.com) or direct them to our [inbound form](https://www.ekhodealer.com/#website-inbound) if you think they’ll find this interesting\n2. If you like what we are building, share and upvote!",
        "url": "https://www.ycombinator.com/launches/IBD-ekho-dealer-enabling-manufacturers-to-sell-their-vehicles-online",
        "votes": 214,
        "created_at": "2023-03-02T21:40:12.000Z"
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    "name": "Kamion",
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    "website": "https://www.kamion.co",
    "all_locations": "Istanbul, Istanbul, Turkey",
    "long_description": "Turkey is MENA’s largest economy, with ~850,000 independent truckers and a logistics market of 73 Billion USD. However, in its current state, freight forwarding for trucking relies on many phone calls, emails, and f2f conversations. Trucking is also fragmented, with SME fleets having ~95% market share. \r\n\r\nKamion is the Uber for Trucks for Turkey. We connect businesses that are looking for trucks, with trucks that are looking for loads. We also utilize technology to do more with fewer people and collect data.\r\n",
    "one_liner": "Uber for Trucks for Turkey",
    "team_size": 35,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1655133227,
    "tags": [
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
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      "Middle East and North Africa",
      "Remote",
      "Partly Remote"
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    "stage": "Growth",
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        "answer": "Uber for Trucks in Turkey"
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        "title": "Trackstar – Plaid for supply chain logistics",
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        "body": "### **TL;DR Supply chain logistics is an $11 trillion global industry that is still in the early innings of digitization. Trackstar’s universal API lets software companies integrate with any warehouse management system in hours, not months.**\n\nHi everyone 👋, we’re [Daniel](https://www.linkedin.com/in/daniel-langer-84846548/) and [Jeremy](https://www.linkedin.com/in/jeremy-schneck-a67b5479/) from Trackstar! We are on a mission to digitize the global supply chain – one API at a time.\n\n![uploaded image](/media/?type=post&id=70084&key=user_uploads/1155870/53fd0b5a-6777-4d6c-94e5-a8057c816dad)\n\n### 🩺**The Problem**\n\nInnovation in the supply chain industry is stifled by the lack of accessible data. For example, there are hundreds of warehouse management systems, most of which are legacy tools with poorly documented APIs or no APIs at all.\n\nCompanies that work on inventory planning, supply chain visibility, product returns, financing, warehouse operations, and more, are forced to build, maintain, and normalize data across one-off supply chain integrations. \n\nThese companies…\n\n* **Drain time and resources** trying to integrate with enough of the WMS market;\n* **Miss out on winning new business** by not supporting integrations that their customers need;\n* **Or never start** because the integration hurdle prevents them from even entering the market.\n\n### 💡**Our Solution**\n\nA universal API for the global supply chain. Our API for warehouse management systems lets software companies build once against a single API and instantly read and write data from any WMS. \n\nWMS is just the beginning. Digitizing these systems will enable a wave of existing and new SaaS companies to build a more efficient and sustainable supply chain.\n\n### **📜How It Works**\n\nWith our universal API, companies can offer WMS integrations without the dev work, and focus their time and resources on their core product.\n\n![uploaded image](/media/?type=post&id=70084&key=user_uploads/1155870/7e55987e-cc1c-44f7-a7be-d2ab21e3d1da)\n\n### ⚡**Asks**\n\nIf you know any companies that currently integrate with or are looking to integrate with WMS, please send intros to [founders@trackstarhq.com](mailto:founders@trackstarhq.com).\n\nWant to be an early customer? Visit us at [trackstarhq.com](http://trackstarhq.com) and add your name to the waitlist!",
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        "created_at": "2023-03-09T06:13:37.876Z"
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        "body": "What’s up YC 👻 , Max & Abdullah here - co-founders of [Coperniq](https://www.coperniq.io/) (W23).\n\n# **🏃‍♂️ TL;DR**\n\nCoperniq is workflow software for solar & energy contractors. It cuts soft cost per installation by **$3K (17% of total cost)** & accelerates projects by **45 days (30% of project timeline)**.\n\nIt automates the entire workflow so contractors can focus on growing their business & helping more homeowners go solar 😎☀️\n\n# **🤯 Problem**\n\nAbdullah used to work in the solar industry, first in the sales department, and later in operations management.\n\nHe witnessed first-hand that while **“going solar”** was a no-brainer and took consumers 5 minutes, the process of getting a solar system **turned on** was a nightmare for companies and customers alike, taking 6-9 months instead of the promised 90 days. \\\n\\\nThis is because despite being one of the most important industries of our lifetime, solar is in the dark ages technologically. Bloated Salesforce instances, spreadsheets with 300+ columns, and pencil-and-paper workflows in the field…\n\nThis results in project managers working 60-hour weeks, human error & delays at every step of the process, and some of the [worst customer experience](https://www.facebook.com/watch/?v=1877039252445470) in the entire home improvement sector.\n\n# **💡 Solution**\n\nCoperniq is the first industry-specific platform for the underserved energy workforce. It helps…\n\n## **1\\. Finish projects faster and cheaper**\n\nOur platform cuts up to 25% of soft costs, allowing contractors to deploy more projects, faster, and cheaper; with 5-star customer experience **every time**.\n\n![uploaded image](/media/?type=post&id=69996&key=user_uploads/541919/dc586ac8-2cc9-4216-a3ff-95737f8c9942)\n\n### **2\\. Turn costly (often unprofitable) service calls into a revenue engine**\n\nBy integrating with hardware OEMs (Enphase, SolarEdge, etc…), Coperniq gives you real-time health checks for your install base, automates service tickets, & drives referral revenue.\n\n![uploaded image](/media/?type=post&id=69996&key=user_uploads/541919/2e40aa5b-e1cd-4413-9efc-4780e32d1f28)\n\n# 🙏 **Ask**\n\nAre you or someone you know running (or thinking of starting) a solar company?\n\n* Email us at [team@coperniq.io](mailto:team@coperniq.io)\n* or [schedule a call here :)](https://calendly.com/coperniq-sales/discovery-web-v2)",
        "url": "https://www.ycombinator.com/launches/ICy-coperniq-workflow-software-for-solar-energy-contractors",
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        "id": 71015,
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        "location": "San Francisco, CA, US",
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        "id": 69872,
        "title": "🚛 Vooma - Backoffice automation for logistics",
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        "body": "**_tldr_**_: Vooma fully automates order taking from shippers for brokers and carriers. We help logistics companies scale with less headcount, reduce cost per load and eliminate data entry errors. Reach out at _[_www.vooma.ai_](http://www.vooma.ai)_._\n\nHello! We’re Mike and Jesse, and we’re building Vooma.\n\n### 🎊 Vooma: a backoffice automation platform for logistics\n\nVooma is a back-office automation platform for freight brokers and carriers that fully automates order taking from shippers.\n\n![uploaded image](/media/?type=post&id=69872&key=user_uploads/887217/2a8f7b68-4b35-46d5-9e22-852e63f32c67)\n\n### 😰 Taking orders from shippers is still extremely manual\n\nToday brokers and carriers receive 60% of orders (\\~$200BN of freight) over email text, spreadsheets and PDFs and key them into their systems manually. The industry spends \\~$750M per year in salaries alone on this problem.\n\nOnly a fraction of shippers have transportation management systems, and a smaller fraction can send orders digitally.\n\nThere’s no good solution for logistics companies. Some have tried robotic process automation, but the variety of file types makes RPA clunky, slow and not cost effective.\n\nFor brokers and carriers, building loads manually:\n\n* is expensive,\n* distracts from higher value tasks,\n* results in billing and operational errors, and\n* makes scaling without headcount hard.\n\n### 💡 How does Vooma work?\n\nIt’s simple.\n\n1. Reps forward order emails to Vooma\n2. Vooma extracts the load details\n3. Vooma pushes the load to the broker/carrier system through EDI / API\n\nWith Vooma, brokers and carriers can:\n\n* Scale with less headcount\n* Reduce cost per load\n* Eliminate data errors\n\n![uploaded image](/media/?type=post&id=69872&key=user_uploads/887217/0121e6db-796e-4a32-a721-c875b45b4c78)\n\nWe’ve successfully solved the order entry problem where others have failed by combining our computer vision expertise with today’s large language models.\n\n### 🧑‍🤝‍ 🧑 The Vooma team\n\nJesse and Mike were introduced by a close mutual friend and bonded over a love of logistics. \n\nMike had built self driving trucks as a founding engineer at Kodiak Robotics ($250M raised), establishing and leading their motion planning and safety teams. Prior to that he was an autonomy engineer at Uber ATG and Otto.\n\nJesse had grown a private equity backed logistics software company from $2M to $20M+ ARR as CEO, selling to brokers and truckers. He saw first hand that every logistics company struggled with order entry and no good solution existed.\n\nJesse and Mike teamed up and realized they were perfectly positioned to solve the order entry problem, combining a deep understanding of the businesses that feel this pain with the computer vision, AI, and automation expertise necessary to make it go away.\n\n### 🙌🏼 Our asks\n\nAre you a freight broker or carrier and want to experience the magic of automated order entry? \n\nOr have any brokers or carriers in your network? \n\nEmail us at [founders@vooma.ai](mailto:founders@vooma.ai) or visit us at [www.vooma.ai](http://www.vooma.ai) to connect.",
        "url": "https://www.ycombinator.com/launches/IAy-vooma-backoffice-automation-for-logistics",
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        "id": 70086,
        "title": "Sirdab - Cloud warehousing & transportation services in MENA",
        "tagline": "The smartest way to store, manage, optimize, and distribute inventory in MENA",
        "body": "**👋 Hi everyone, we are Naif & Abdulrahman from Sirdab.**\n\n**TL;DR:** Sirdab makes it easy for businesses to acquire dry, ambient, chilled and frozen warehousing space and hire fleets to move inventory through a single dashboard. Today, we manage over 50 warehouses, totaling 400k square meters of space, in 8 cities in Saudi Arabia. \n\n**❌ Problem – Storing and moving inventory in MENA is challenging**  \n\n**1\\. Difficulty in finding suitable solutions:** The conventional approach for businesses is to rent, equip, and operate their own warehouses. The available options are often difficult to discover online and frequently surpass the actual space needs for the business, resulting in underutilized facilities. On the other hand, businesses seeking third-party logistics (3PL) services face a similar challenge in locating a reliable and trustworthy partner.\n\n**2\\. Lack of short-term options:** Regardless of whether a business opts to rent its own warehouse or utilize a third-party logistics provider, it will likely be bound by long-term agreements with limited flexibility.\n\n**3\\. Inefficient inventory management:** As businesses grow, managing inventory across multiple locations becomes increasingly complex and inefficient. Unfortunately, many businesses still resort to using spreadsheet-based methods to manage inventory, lacking a clear record of their inbound and outbound transactions.\n\n**4\\. Challenges in inventory distribution:** For both wholesale and store distribution in Saudi, businesses often face the dilemma of either committing to lengthy contracts or operating their own fleets with subpar utilization efficiency.\n\n**✨ Solution – Hassle-free cloud warehousing & transportation through one platform 🚛**\n\n**1\\. Variety of warehousing space options:** Quickly find and secure dry, ambient, chilled and frozen warehousing space across 8 cities in MENA within 48 hours, for any space you need, starting with 10 square meters.\n\n**2\\. Flexible short-term contracts:** Whether you need the space for a month or a year, we got you covered. Our contracts include options for month-to-month, 6-month, and 12-month durations.\n\n**3\\. Streamlined inventory management:** Have a 360-degree view on your inventory list, track all historical movements, analyze consumption and get notified on shortages. \n\n**4\\. Wide-ranging transportation offerings:** Access a range of FTL, LTL freight offerings as well as parcel and last-mile carriers for store distribution. \n\n![uploaded image](/media/?type=post&id=70086&key=user_uploads/456006/6865d6e7-e9e0-425f-8a92-a473933dbaea)\n\n**💵 Bottom line impact based on traction:** \n\n**Warehousing cost for merchants:** Based on 80+ active clients, Sirdab customers see an average reduction in warehousing costs by 27%. \n\n**Transportation for merchants:** Aside from enhancing delivery times & quality, Sirdab customers have experienced an average decrease in their bulk and last-mile transportation expenses by 12%.\n\n**Warehousing operations for partners:** Along with boosting income and maximizing use of space, our partners are able to streamline their operations, monitor the time needed for order preparation, and have automated billing processes. \n\n**🤝 Quick Ask**\n\n* Spread the word!\n* Follow our journey on [LinkedIn](https://www.linkedin.com/company/usesirdab/) & [Twitter](https://twitter.com/usesirdab?lang=en)\n* If you currently work with a 3PL in the region, or need warehousing space, we would love to chat with you or the appropriate person at your company. Email us at [naif@sirdab.co](mailto:naif@sirdab.co) / [abdulrahman@sirdab.co](mailto:abdulrahman@sirdab.co)",
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        "created_at": "2023-03-09T07:32:22.536Z"
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        "id": 82795,
        "title": "Mandel AI - Never chase suppliers for updates again",
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        "body": "# **One Email Unsent - That’s all it could take for the global supply chain to crash**\n\nThe way to manage a supply chain has not changed since the invention of E-Mail and Excel.\n\n## **What’s the problem?**\n\nFor your ordered Tesla to be produced, there are thousands of suppliers that need to be coordinated so that a single bolt missing does not halt $billions of production.\n\nHowever, today, procurement teams manage this coordination through email, spreadsheets, PDFs (and, horrifyingly, sometimes even WhatsApp).\n\nThis means there are tons of supply chain disruptions not caught on time because an email or spreadsheet was not sent to or from the supplier.\n\n**This year, due to supply chain disruptions,** [**businesses will lose over $1.6 Trillion**](https://www.accenture.com/content/dam/accenture/final/capabilities/cross-service-group/iconic-thought-leadership/document/Resiliency-in-the-making-report.pdf)\n\n## **So how do we fix this?**\n\n[Mandel AI](https://www.mandel.ai/) is building autonomous supply chain agents that plug into the email and ERP of manufacturers to create a real-time, self-updating source of truth for your supply chain. Our AI-powered procurement agents:\n\n* Proactively email suppliers for order updates\n* Surface supply chain disruptions and extract supplier updates (like lead times & price updates) from emails\n* Save 20+ hours per week per team member\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/2c1d8412-6fe0-4a76-9d51-d461ec432b01)\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/6000a50f-4441-40d4-afcb-470574a4b499)\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/cf3b9f13-47b4-4d05-b8c2-bf5bb39865ec)\n\n## **Why It Matters**\n\nProcurement teams spend up to 80% of their time manually emailing suppliers for RFQs and PO update requests, leading to production delays and miscommunications that can result in millions or billions in lost sales. As Covid proved, in today's global supply chain, real-time visibility and rapid response to issues are critical for the business and the end consumer.\n\n![uploaded image](/media/?type=post&id=82795&key=user_uploads/1376951/7e0f13f0-ca52-4e22-82f2-3726b9b2eaa4)\n\n**We have already processed $50M+ in material spend and 40,000+ email threads.**\n\n**To create your first Mandel AI agent, sign up on our website:**\n\n### [**www.mandel.ai**](http://www.mandel.ai)",
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        "location": "📍 Toronto, ON",
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        "location": "📍 Toronto, ON",
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        "url": "https://www.ycombinator.com/companies/terminal/jobs/dZFjDfh-founding-technical-recruiter",
        "location": "📍 Toronto, ON",
        "type": "Full-time",
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        "role_type": "Recruiter",
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        "url": "https://www.ycombinator.com/companies/terminal/jobs/MLblJgt-founding-product-marketing-lead",
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        "title": "Semi-Related Podcast - Integration innovation | Raghav Midha of Terminal",
        "url": "https://optym.com/semi-related-podcast/integration-innovation-raghav-midha-of-terminal",
        "date": "Apr 24, 2025"
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      {
        "title": "Terminal raises $3.1M, wants to be the ‘Plaid of trucking’ - FreightWaves",
        "url": "https://www.freightwaves.com/news/terminal-raises-3-1m-wants-to-be-the-plaid-of-trucking",
        "date": "Dec 12, 2023"
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      {
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        "url": "https://betakit.com/meet-the-y-combinator-summer-2023-cohort-startups-with-canadian-connections/",
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        "title": "Terminal: Plaid for Telematics 🚚",
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        "body": "![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/74a6448c-c325-45e1-be23-8766bfd032e7)\n\n## **📌 TL;DR**\n\n_Companies building products for transportation, logistics and fleet management spend 30%-40% of their engineering capacity on integrations - this is expensive, undifferentiated work that takes their time away from working on actual customer problems. Terminal (_[_withterminal.com_](http://withterminal.com)_) is a Universal API for Telematics that makes it easy for these teams to integrate all of the top telematics platforms into their application without needing to worry about the complex underlying details._\n\n## 😰 **Problem**\n\nOur customers include (but are not limited to): insurance companies, fuel cards, invoice factorers, fleet management systems, digital freight brokers, load boards and transportation management systems. These folks need access to telematics data to support their end-users who are trucking companies and commercial fleets. Integrating telematics is often a must-have for them and there’s typically a direct correlation between their number of supported integrations and their sales closure rate.\n\nThe telematics market is fragmented, with hundreds of available platforms, each with their own type of integration (REST, SOAP, etc.), and documentation that is not always available. Companies that need to integrate into these vendors have large integration teams and are still unable to meet their customers' demand.\n\n## **🔮 Solution**\n\nTerminal's Universal API for Telematics enables companies to support all of the leading telematics platforms through a single integration. Similar to Plaid and Stripe - our mission is to increase the innovation velocity of transportation, logistics and fleet management through making fleet data more accessible.\n\nWe provide a white-labelled **User Interface** for fleet managers to grant access to telematics data like GPS, vehicle stats, driver hours and safety events.\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/c7ebf48f-6014-4192-adc8-5eed6aef0aa9)\n\nOnce a fleet manager grants access, we extract, normalize, enrich, and sync the data for our customer. We also offer common data models, webhooks and access to raw telematics data to make it easy for customers to integrate. You can learn more about how it works in our [**API Documentation**](https://terminal.stoplight.io/docs/terminal).\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/9b511455-57e1-4ced-a523-df860d3e67a8)\n\nCustomers also receive a **Support Portal** for managing their integrations, customer connections and data syncs.\n\n![uploaded image](/media/?type=post&id=72500&key=user_uploads/1241796/42b9409c-1fbe-4a22-bb93-5d685c91598d)\n\n## **😇 Ask**\n\nIf you know any companies that currently integrate or are looking to integrate with telematics, please let us know at [**founders@withterminal.com**](mailto:founders@withterminal.com).",
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        "votes": 62,
        "created_at": "2023-06-24T00:00:20.370Z"
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        "date": "Oct 14, 2025"
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      {
        "title": "Twilio Announces the Honorees of the 2024 AI Startup Searchlight Awards | Twilio",
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        "title": "FleetWorks - Automating manual freight brokerage operations",
        "tagline": "We automate the 1B+ phone calls and emails that keep freight moving",
        "body": "**TL;DR:** \n\nFleetWorks helps freight operators focus on high-value work by automating routine calls and emails. Our AI-powered platform can leverage email or use a human-like voice to make tracking calls, cover loads, and reschedule appointments.\n\nHi everyone, we are Paul and Quang - we’re on a mission to help freight brokers and forwarders become more efficient\n\n![uploaded image](/media/?type=post&id=74121&key=user_uploads/396582/2100c87b-c4eb-4d6c-a5a6-d3ac56e6338a)\n\n### **❌ The Problem:**\n\nGetting freight from point A to point B is still largely handled by humans. Digitized brokers have driven automation, but most day-to-day operations are still handled over phone and email between millions of humans around the world. Given this overhead, freight brokerages operate on low single-digit margins.\n\nThree roles in a freight brokerage spend a significant part of their day on repetitive tasks:\n\n1. **Track and trace agents** → Identify loads that are not being tracked automatically via apps, telematics, or aggregators. They reach out via phone or email to the driver or dispatcher for an update.\n2. **Load coverage and carrier sales** → Handle inbound/outbound calls to/from trucking companies that are interested to book loads. Information like weight, commodity, and appointment time is shared. Then the parties negotiate on price.\n3. **Appointment schedulers** → Set appointment times for unscheduled loads by calling or emailing facilities, or logging into customer portals. Due to unforeseen issues, 20-30% of appointments need to be rescheduled at the last minute resulting in even more work.\n\nTo illustrate this from a trucking company point of view, below is a short video that shows a dispatcher calling various brokers:\n\n<https://youtu.be/5KzBipLvH3c>\n\n### **✨ Our Solution:**\n\nFleetWorks sits alongside a broker’s phone, email, and transportation management system (TMS). Calls and emails can be triggered automatically or manually, and relevant information is automatically pushed to the TMS or email for operators to take action.\n\nFleetWorks can automatically \n\n1. **Book loads**: Share load details, discuss price, and book the carrier.\n2. **Track loads**: Call the driver and update the account team on issues.\n3. **Schedule appointments**: Email or call facilities that don’t have a booking portal.\n\n### **💲 The Opportunity:**\n\nThere are 150 large brokers in the U.S. (>$100M gross revenue) and they are taking share from small brokers. These brokers alone spend $11B on operational headcount and 70% of headcount is involved in repetitive work.\n\nThese operators conduct 1 billion phone calls per year to manage load execution. Today, these calls cost $5-15 depending on complexity. At a rate of $1 per successful call (10x cheaper than the status quo), we believe our near-term market opportunity is $1B.\n\nGiven the $11B of spend on operational headcount, FleetWorks provides significant margin expansion for our customers. \n\n### **🙏 Our ask:**\n\nIf you or anyone you know works in freight transportation, drop us a note at [founders@fleetworks.ai](mailto:founders@fleetworks.ai). We’d love to learn more about the operation!",
        "url": "https://www.ycombinator.com/launches/JHV-fleetworks-automating-manual-freight-brokerage-operations",
        "votes": 327,
        "created_at": "2023-08-15T17:50:22.695Z"
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        "user_id": 1328192,
        "full_name": "Euro Wang",
        "title": "Founder",
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        "full_name": "Jack Solomon",
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        "founder_bio": "Co-Founder and CTO of Guac. ML engineer working to make grocery retail more efficient.",
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        "url": "https://www.ycombinator.com/companies/guac/jobs/IctDRvB-strategy-operations",
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        "title": "How the Produce Aisle Inspired a Grocery Tech Startup",
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        "url": "https://techcrunch.com/2023/12/19/y-combinator-backed-guac-trains-algorithms-to-predict-grocery-demand/",
        "date": "Dec 19, 2023"
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        "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/",
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        "title": "🥑 Guac: Ending grocery food waste with AI",
        "tagline": "Hyper-accurate demand forecasting for supermarkets",
        "body": "**TLDR:** We tell grocery stores exactly how many avocados they’ll sell next Tuesday.\\\n\\\n[Guac](http://tryguac.co) uses machine learning to accurately predict how much grocery retailers will sell each day. This helps them order the perfect amount of inventory: enough to meet customer demand without sending tons of leftover food to landfill.\n\n### **🗑️ PROBLEM**\n\n* **Predicting future demand is hard**: product-level demand drastically fluctuates each day based on hundreds of factors like weather, road closures, and sports games. Yet, even the largest supermarket chains still use basic regression models or Excel formulas, which means … \n* **Tons of food waste and empty shelves**: which costs grocery retailers in Europe/US $188B and costs our planet 15 million metric tons of greenhouse gas emissions each year.\n\n### **🥑 OUR SOLUTION**\n\n* **Industry-leading algorithm** that predicts order quantities for each item, each day, each store location. Our average forecast error (MAE) for our current customers is 0.95 units, which translates to a 38% reduction in food waste.\n\n![](https://lh6.googleusercontent.com/ib8L-X2brvq2yDx0i7QlNLakpS-1x79zlJSzMI5phoohO6II0KB9q3GhWEilhqDc6sXoBUm24rj4NXCX4O5sTa9susviyZFku6vb0YzC9_qIVa0Nbq-6YMHvuNaBx_P8_30I8wteFfbGtJu_3g5vdqo)\n\n* How?\n  * **More than just ML**: Grocery demand is driven by real world events that ML models don’t know exist. So we inject 230+ external variables to actually capture people’s buying behavior …  \n  * **_For example,_** _we found that sports betting odds help us predict beer sales. When a sports match is predicted to be a close game, it turns out more people watch the game, driving up beer sales!_\n  * **Customized** for each store location: grocery stores located just 5 miles apart have different customer behavior.\n* **Inventory ordering optimization**: We then turn our hyper-accurate predictions into useful inventory order quantities, based on individual SKU-specific requirements: minimum order quantities, promotions, unknown loss estimates, shelf life, supplier lead times, and more.\n* **Modular integration:** We integrate our ordering recommendations right into the retailer’s existing inventory ordering softwares and workflow. Whether inventory ordering is done at the HQ-level vs. store-level, we fit into the retailer’s system, instead of forcing them to uproot their system to fit into ours.\n\n### **🙏 OUR ASK**\n\nWe’d love introductions to grocery chains (anywhere in the world), especially:\n\n1. Discount grocery chains, with tighter margins\n2. Grocery chains in more remote locations (e.g. Hawaii), with longer supplier lead times and inflexible supply chain\n3. Asian grocery chains in the US, who import a lot of their products from abroad\n\nAnd if you know anyone in the general food/grocery space (POS providers, suppliers/distributors, grocery food waste charities, etc), please let us know at [founders@tryguac.co](mailto:founders@tryguac.co).",
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        "created_at": "2023-07-06T00:47:22.192Z"
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        "title": "Poka Labs: The Modern Operating System for Chemical Manufacturing",
        "tagline": "We put chemical production planning on autopilot",
        "body": "### Summary:\n\n* We help chemical manufacturers automate their production planning and scheduling without the need for spreadsheets or complex implementations\n* Schedule a demo - <https://www.pokalabs.com/>\n\nHi everyone! We’re Andrew and Malay — the founders of Poka Labs.\n\n### ❌ Problem\n\nProduction planning is the “brains” of chemical operations. Yet even today, the $5.6 trillion chemical industry relies on spreadsheets and humans to manage the process.\n\nThis leaves plants to constantly fight fires in order to meet customer orders on time and maximize manufacturing margins. Any change, such as inventory delays, labor shortages, or unexpected maintenance, further stresses operations. Existing systems, such as ERPs, are too rigid in their data inputs to adapt to these types of changes.\n\n### ✅ Our Solution: Adaptive Production Planning with AI\n\nPoka Labs integrates with existing information (data historians, emails, PDFs, ERPs, etc) to put chemical production scheduling on **autopilot**. Our software automates analytics, scheduling, changes, and communication within one platform that anyone can use.\n\nWith Poka Labs, chemical plants can:\n\n* Maximize revenue\n* Minimize transition costs\n* Eliminate messy spreadsheets\n* Increase visibility\n\n![uploaded image](/media/?type=post&id=82777&key=user_uploads/1512280/c60251e7-3d4b-40ca-b900-9880d3597a4a)\n\n### 🎉 Our Story\n\n[Malay](https://linkedin.com/in/yalamshah) is a chemical engineer who has worked in chemical plants across 3 continents. He experienced these issues firsthand and saved his prior employers over $100+ million on process improvement and production planning projects.\n\nHe met [Andrew](https://linkedin.com/in/andrewbass) while they were pursuing their MBA at Harvard Business School. Andrew worked as a software engineer on data infrastructure systems at Meta before working on optimization problems at a seed-stage startup. He also completed a Masters degree at Harvard specializing in ML.\n\nTogether, we’re passionate about deploying modern software in the chemical industry.\n\n### ❓ The Ask\n\n* If you work in chemical manufacturing, we’d love to chat! Contact [malay@pokalabs.com](mailto:malay@pokalabs.com)\n* Share this post! Is there anyone in your network that deals with planning for chemicals? We’d love to chat with them\n  * _Copy & paste blurb_: A team of Harvard grads created an AI-powered production planning platform designed for the chemical industry. It automates scheduling, changes, and analytics in one platform. Put your plant on autopilot with Poka Labs. Contact [malay@pokalabs.com](mailto:malay@pokalabs.com) to see a demo from the founders.\n\n![uploaded image](/media/?type=post&id=82777&key=user_uploads/1512280/50e570cf-b34b-4d74-a706-0f28dc480c5f)\n\n",
        "url": "https://www.ycombinator.com/launches/LX7-poka-labs-the-modern-operating-system-for-chemical-manufacturing",
        "votes": 208,
        "created_at": "2024-08-06T16:41:26.311Z"
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    "long_description": "DGI Apparel is a one-stop shop for custom screen printers to purchase all of the supplies needed to operate their business. DGI enables users to connect their existing vendor accounts to compare prices, inventory, and shipping time across all of their vendors on a single website. They can also manage all of their vendor carts, checkout, and view purchase tracking and analytics right from DGI.",
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      "name": "Jared Friedman",
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        "full_name": "Ian Hinkley",
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      {
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        "full_name": "Daniel Shkreli",
        "title": "Founder",
        "founder_bio": "*",
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      {
        "id": 78128,
        "title": "DGI Apparel 👕 - Expedia.com for buying blank t-shirts",
        "tagline": "DGI is a one-stop-shop for custom apparel stores to buy their blank t-shirts.",
        "body": "**TL;DR:**  With [DGI](https://www.dgiapparel.com/), store owners can shop and compare across all of their blank garment vendors on one website.\n\n**The Problem:** Custom apparel stores constantly need to source blank shirts to fulfill their customers’ orders in a timely fashion. Blank shirts make up the majority of their COGS, so store owners spend countless hours shopping around different vendor sites to find the best price, shipping time, and inventory.\n\n**DGI’s Solution:** We’ve built a purchasing tool where store owners/inventory managers can connect their wholesaler accounts to a single website. We pull in all pricing, inventory data, cart info, and more to create a single, unified shopping experience across all of their vendors. DGI is completely free for end users.\n\n![uploaded image](/media/?type=post&id=78128&key=user_uploads/1530280/91508e14-8081-449b-a316-7f2471c2ce37)\n\n**Team Background:** [Ian](https://linkedin.com/in/ianhinkley) was a screen printer in high school and loves making custom t-shirts. [Daniel](https://linkedin.com/in/daniel-r-shkreli-6a0130160), [Grant](https://linkedin.com/in/grant-fuhr-06b849188), and Ian lived together while studying engineering at MIT and always wanted to start a company together.\n\n\\\n**Our ask:**\n\n* **If you’re ordering custom swag for your company, MESSAGE ME**: [ian@dgiapparel.com](mailto:ian@dgiapparel.com). Our users love it when we give them business and we can help you save money as well.\n* If you know anyone who runs a custom apparel store, please connect us, or send us their contact!\n\nDGI Apparel does not claim any affiliation, sponsorship, or endorsement by any of the brands, trademarks, or logos displayed. All logos and trademarks remain the property of their respective owners.",
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        "votes": 33,
        "created_at": "2024-02-04T00:33:54.182Z"
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/manifold-freight/",
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        "full_name": "Andrew Huff",
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        "founder_bio": "I am the CTO and co-founder of Manifold Freight.\n\nMost recently I worked as a software engineer and engineering manager at Convoy - a digital freight brokerage. Specifically working on tools to automate cumbersome freight logistics processes.",
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      {
        "id": 79276,
        "title": "🚛 Manifold - We get Carriers better Spot Freight & increase margins up to 30%",
        "tagline": "Aggregating loads from multiple brokers and shippers into one place.",
        "body": "**TL;DR** At [Manifold](https://www.manifoldfreight.com/?utm_source=yc&utm_medium=social_media&utm_campaign=yc_launch), we aggregate spot opportunities for carriers.\n\nHi, it's [Oliver](https://linkedin.com/in/oliver-jones-936a0a58) and [Andrew](https://linkedin.com/in/andrew-huff-222b2a21), the co-founders of Manifold. We were early engineers at Convoy (#12 and #50) and where there until the company was acquired by Flexport last Fall. Our broad and recent experience at Convoy has given us deep insights into the complexities of the freight industry. Manifold Freight is our response to simplifying a piece of the $800 billion freight industry. Our first target market is Asset Based Carriers - a radically underserved segment..\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/a0e2f5d7-5651-4bbd-8032-d0d267aed291)\n\n**The Underserved Large Asset-Based Carriers** 🚛\\\nOver the last decade, there has been a surge of tech investment into the freight industry (e.g., Convoy, Uber Freight) - but their focus has been maximizing the margin and capacity of smaller carriers (< 10 trucks). Medium to large Asset-Based Carriers, especially those operating with 50+ trucks, have seen minimal interest from tech despite representing more than \\~60% of the U.S. truckload capacity - roughly 2,600,000 trucks! ([data)](https://www.ooida.com/wp-content/uploads/2021/03/Trucking-Facts.pdf)\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/7b7c81c7-9724-4eba-adc4-bc4b21d048ab)\n\nNowhere is this more apparent than in the $100 billion spot freight market. Existing solutions don’t work well for medium and large Carriers. The spot freight market is fragmented across hundreds of load boards, thousands of brokers, and millions of shippers. For medium and large carriers, this fragmentation creates a logistical nightmare. Finding a single spot freight shipment requires a dispatcher to manually login, filter and compare each load against their fleet and availability. Sorting through thousands of emails, multiple load boards and making many time consuming phone calls.\n\nThe result? Dispatchers go the path of least resistance - large public load boards. They can’t take advantage of the much higher value, _shipper direct_ freight because it’s physically impossible to sort through them all every day. These public load boards take an 18-30% cut of the shipment price that otherwise could have gone to the carrier. For the average medium-sized carrier doing 50 spot loads a week, this represents almost $500,000 in lost yearly revenue (2,600 shipments x $700 × 24% = $462,280).\n\n**The Manifold Solution**\\\nManifold solves this problem by aggregating all available spot freight opportunities, including shipper direct spot freight, into one single dashboard. \n\nFinding and bidding on quality shipper direct freight is easier with Manifold than finding low quality loads on [DAT,](https://www.dat.com/) the current industry standard.\n\n![uploaded image](/media/?type=post&id=79276&key=user_uploads/1114978/9b466bfc-653b-4a74-8947-999518a12251)\n\n**Asks**\\\nIf you have connections in the freight industry; whether they be Carriers, Brokers, or Shippers. Send them our way! We talk freight in our spare time and love it.",
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        "created_at": "2024-03-11T20:45:43.953Z"
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    "linkedin_url": "https://www.linkedin.com/company/reformhq",
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        "full_name": "Omar Abuhashish",
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      {
        "id": 84524,
        "title": "Recruiting Lead",
        "url": "https://www.ycombinator.com/companies/reform/jobs/ei44CKT-recruiting-lead",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "$125K - $175K",
        "equity_range": "0.20% - 0.50%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 84525,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/reform/jobs/vWBAFlT-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$150K - $200K",
        "equity_range": "0.30% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 95231,
        "title": "Forward Deployed Engineer — Spanish Speaking",
        "url": "https://www.ycombinator.com/companies/reform/jobs/EfKLPPO-forward-deployed-engineer-spanish-speaking",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $175K",
        "equity_range": "0.30% - 0.70%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 108324,
        "title": "Licensed Customs Broker",
        "url": "https://www.ycombinator.com/companies/reform/jobs/b05roZC-licensed-customs-broker",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$120K - $170K",
        "equity_range": "0.10% - 0.40%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    "news": [],
    "launches": [
      {
        "id": 79036,
        "title": "Reform: The fastest way to build modern logistics software",
        "tagline": "Development tools for logistics engineering teams",
        "body": "👋 Hello world! It’s [Saif](https://www.linkedin.com/in/saifabuhashish/), [Omar](https://www.linkedin.com/in/omarabuhashish/), and [Pradhit](https://www.linkedin.com/in/pradhit/) here to introduce you to [Reform](https://www.reformhq.com/)!\n\n🤓 **TL;DR**\n\nReform is the easiest way for dev teams to build modern logistics software fast. Logistics service providers use our pre-built components and APIs to build software that can automate tasks such as quoting, shipment creation, and customs clearance filing. \n\nOne of the largest freight forwarders in Latin America is using Reform to automate shipment creation and invoice processing.\n\n\\\n**❌ Problem**\n\nLogistics service providers rely on dated, archaic ERP and transportation management systems (TMS) to manage their operations. These systems are rigid, closed, and opinionated. Oftentimes, they require customization, and hence, the need for logistics service providers to hire development agencies to build bespoke customizations and internal tools on top of these systems to make them easier to work with. \n\nAn alternative these companies resort to is to build an internal system from scratch to fit their business needs. However, such an undertaking is long, costly, and is oftentimes a distraction from their core business.\n\n\\\n**⚒️ Solution**\n\n**Reform is the sweet spot between buying a generic off-the-shelf TMS and building one in-house**. Our APIs and pre-built components allow logistics service providers to build the modern transportation management system they need - faster, better, and without the maintenance overhead.\\\n\\\nOur first product is an AI-powered API suite that allows logistics service providers to build custom automations for mundane tasks related to their TMS. \\\n\\\nOur APIs are used to power automation use cases including:\n\n🚢 Shipment and quote creation\n\n👮 Customs clearance filing\n\n🏭 Warehouse order intake\n\n🧾 Invoice reconciliation\n\n\\\n⚙️ **How it works**\n\n**Eliminate manual document analysis:** Our customizable AI-powered data extraction API, purpose-built for the logistics industry, allows you to extract data with high accuracy from incoming emails and documents including commercial invoices, BOLs, packing lists, and more.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/b3cfab82-392b-4fee-853c-1adaed324808)\n\n\\\n**Integrate with any TMS**: Our Universal API allows you to plug extracted data into any system without the burden of building and maintaining integrations.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/259bb079-8490-4260-b8b8-fc598221c91b)\n\n**Build beautiful interfaces:** Our headless UI components allow you to embed our APIs directly in your products and customer-facing dashboards.\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/1200b04a-798a-44ea-8de9-0bbe694a316c)\n\n**Meet The Team**\n\n![uploaded image](/media/?type=post&id=79036&key=user_uploads/1369382/28bdbda5-b565-4a50-8d9d-919bed1cac4f)\n\nSaif and Omar are brothers, born and raised in Jordan, before moving to the US to pursue a career in technology. Saif built warehouse robotics at Amazon, conversational AI at Capital One, and category-defining SaaS at Drift. Omar was a founding engineer at Altan Insights, followed by building 0 → 1 products at CoinTracker (YC W18). Omar was also Pradhit’s favorite co-worker at CoinTracker, where together, they led the new products team. Before that, Pradhit was at Microsoft where he built data pipelines to process petabytes of telemetry data.\\\n\\\n🙏 **Asks**\n\n* If you know any freight forwarders, 3PLs, or logistics software providers that might be interested in Reform, send them our way!\n* Think we can help, have questions or feedback? [Book a call](https://calendly.com/omar-abuhashish/20-min) or reach out to us at [founders@reformhq.com](mailto:founders@reformhq.com)!",
        "url": "https://www.ycombinator.com/launches/KYm-reform-the-fastest-way-to-build-modern-logistics-software",
        "votes": 62,
        "created_at": "2024-03-04T20:39:40.112Z"
      }
    ]
  },
  {
    "id": 29499,
    "name": "Forge",
    "slug": "forge",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9a8698407a8cb5928c428073e83afe6e5668d63c.png",
    "website": "https://www.forgehq.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Forge manages international logistics for business around the world. We’re an AI native freight forwarder, customs broker, and tariff expert.\r\n\r\nWe’re growing rapidly and support small mom and pop business to the Fortune 1000s, including companies like Allegiant Airlines, Malbon Golf, and R.E.M. beauty.\r\n\r\nForge has raised capital from world class investors including Google, Y-Combinator, and Gradient Ventures.",
    "one_liner": "AI native freight forwarder and customs broker",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1705516248,
    "tags": [
      "B2B",
      "Logistics",
      "Supply Chain",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/forge",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/forge.json",
    "year_founded": 2023,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/forgehq/",
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    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1143293,
        "full_name": "Emir Sahmanovic",
        "title": "Founder/CEO",
        "founder_bio": "Emir is the co-founder and CEO of Forge. Previously he was a lead engineer with experience designing, building, and testing rocket engines at Blue Origin and Stoke Space. At Stoke, Emir was part of a small team that became the fastest to ever go from seed funding to engine hot fire.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/emir-sahmanovic-976b71b5",
        "x_url": "",
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      },
      {
        "user_id": 1181593,
        "full_name": "Haris Sahmanovic",
        "title": "Founder/CTO",
        "founder_bio": "Haris is the co-founder and CTO of Forge. Before Forge, he worked at Facebook and Vanguard as a backend engineer.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/haris-sahmanovic-438884126",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2d7a4fd263f8bfb441619c92d28822f8dd03532.jpg"
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    ],
    "jobs": [
      {
        "id": 90059,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/forge/jobs/fCpu2RO-software-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $225K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109451,
        "title": "Operations Manager",
        "url": "https://www.ycombinator.com/companies/forge/jobs/HYPf58T-operations-manager",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $150K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109673,
        "title": "Head of Freight",
        "url": "https://www.ycombinator.com/companies/forge/jobs/63pdEdc-head-of-freight",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $200K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109675,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/forge/jobs/UN15zUc-sales-development-representative",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$80K - $150K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 109676,
        "title": "Founding GTM",
        "url": "https://www.ycombinator.com/companies/forge/jobs/jz3xNXt-founding-gtm",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $180K",
        "equity_range": "0.20% - 1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Engineer brothers found Forge to modernize hardware procurement | TechCrunch",
        "url": "https://techcrunch.com/2024/06/04/ex-meta-blue-origin-brother-engineers-raise-2m-to-solve-hardware-procurement/",
        "date": "Jun 04, 2024"
      }
    ],
    "launches": [
      {
        "id": 89310,
        "title": "Forge - Getting companies refunds on tariffs & duties",
        "tagline": "Recover 99% of import taxes on goods you export or destroy",
        "body": "**tl;dr:** Forge helps companies recover tariffs and duties paid on imported goods that are later exported or scrapped by automating a process called duty drawback. Most companies don’t file for drawbacks because it can be complicated & cumbersome. We solve this by taking on all the work for our customers from organizing data to filing, and automating it behind the scenes. Reach out to us at: [www.forgehq.com](http://www.forgehq.com).\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/89898/703a07d3-3dad-49eb-9cd3-1c80cd2719a9)\n\nHello everyone! We're Emir and Haris, two brothers and the co-founders of Forge! We’re here to help companies save money on their tariffs & duties.\n\nHaris (left) is the CTO of Forge. Before Forge, he worked at Facebook and Vanguard as a backend engineer. Emir (right) is the CEO of Forge. Previously he was a lead engineer with experience designing, building, and testing rocket engines at Blue Origin and Stoke Space. At Stoke, Emir was part of a small team that became the fastest to ever go from seed funding to engine hot fire.\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/1181593/44c70c94-7705-4dd2-8c02-215f92c83d2e)\n\n🧩 **The problem:**\n\nLast year, the US collected over $85 billion in import duties, and that number will increase dramatically with the newly established tariffs. However, when a business imports goods, they are allowed to claim a refund on the taxes they paid if they later export or scrap goods - this process is called duty drawbacks.\n\n$6 billion dollars of recoverable duties go unclaimed every year, and that was before Trump’s new tariffs. Most companies don’t file for drawbacks because the process is extremely cumbersome & complicated. The biggest companies have compliance teams & specialized customs brokers supporting them on multi-million dollar claims, but if you’re a small or medium-sized business, you have no options. Supply chain teams don’t have the time to manage all the work needed to run a drawback program, and brokers avoid supporting claims under $500k.\n\n💡 **Our solution:**\n\nOur team provides duty drawback as a white glove service while leveraging AI and custom internal tools to automate the work. This allows us to serve more businesses, while also requiring little to no effort from our customers. We file all paperwork with customs, extract all necessary data, and do the work to maximize their refund. The best part: it’s free upfront— we only get paid when our customers get paid.\n\nSupply chain & logistics are hard. Tariffs & duties make it even harder. We are here to make it easy for businesses to claim the revenue they deserve.\n\n![uploaded image](/media/?type=post&id=89310&key=user_uploads/1181593/8a06bd8f-bb66-428f-a439-d9727f160284)\n\n\\\n🙏 **Ask: How you can help**\n\nConnect us to importers, exporters, manufacturers, DTC brands, and any business impacted by the tariffs in your network! Email [emir@forgehq.com](mailto:emir@forgehq.com)\n\n* Check us out and talk with us at [forgehq.com](http://forgehq.com)\n* Share this post!",
        "url": "https://www.ycombinator.com/launches/NEU-forge-getting-companies-refunds-on-tariffs-duties",
        "votes": 26,
        "created_at": "2025-04-07T21:36:45.016Z"
      },
      {
        "id": 77785,
        "title": "🛠️ Forge - Procure hardware and control spend on one platform",
        "tagline": "Collaborate with manufacturers, track orders from quote to delivery, manage purchase approvals, and more!",
        "body": "**tl;dr:** We’re bringing everything related to your team's hardware procurement under one platform. [Forge](https://www.forgehq.com/) makes it easy to get your parts made while also providing insight into your teammates' purchases, the status of their parts, and more. On top of this, we give companies the ability to set their procurement policies in a straightforward manner, making it simple for everyone to follow. **Request a demo at [www.forgehq.com](https://www.forgehq.com/)**.\n\nHello everyone! We're [Emir](https://linkedin.com/in/emir-sahmanovic-976b71b5) and [Haris](https://linkedin.com/in/haris-sahmanovic-438884126), two brothers and the co-founders of Forge! We’re on a mission to help hardware teams move faster.\n\n![uploaded image](/media/?type=post&id=77785&key=user_uploads/1181593/f67f210b-2410-49ec-a452-9fa5eaf20b34)\n\nHaris (left) is the CTO of Forge. Before Forge, he worked at Facebook and Vanguard as a backend engineer. Emir (right) is the CEO of Forge. Previously he was a lead engineer with experience designing, building, and testing rocket engines at Blue Origin and Stoke Space. At Stoke, Emir was part of a small team that became the fastest to ever go from seed funding to engine hot fire.\n\n\\\n🧩 **The problem:**\n\nGetting parts into engineers’ hands sets the pace for hardware companies. However, procurement teams use email, spreadsheets, and phone calls to manage billions of dollars of spend. This causes huge coordination issues as many engineers don’t know whose approval they might need, when parts are coming in, and who ordered what. We saw it over and over again at companies of all sizes: poor supply chain operations cause constant delays and bottleneck the pace of development. In 2023, engineers were estimated to spend over 6 hours per week on procurement activities.\n\n**💡 Our solution:**\n\n![uploaded image](/media/?type=post&id=77785&key=user_uploads/1181593/d75081e4-05ee-4d46-84c7-c0bf54dfac90)\n\nOur software allows you to request quotes from your suppliers, where you can attach drawings and CAD. We then organize the quotes into a format that’s perfect for comparing your options. Once a supplier has been selected, you can continue to work with them by messaging, sharing files, and getting feedback directly on Forge. All these actions are viewable by your teammates, ensuring everyone is on the same page without the need for time-consuming meetings or searching through documentation.\n\n![](https://lh7-us.googleusercontent.com/ugOWDLKfrQ1vBzd6yGZ5v0K2sYRXfPy9B2clqANCArFWQZp_Ef68QtXryh9Nsrh5BGND-36ErJc2DUDj3QsBQIAY7SmXwNIdlX3ymAi9ycLecJm2Ir-iyzlNxJ6URwENwLBJ50xgGNFlqiG66AsGddU)\n\nMany companies struggle with unclear procurement operations. Forge offers a highly customizable tool for companies to publicly set their procurement flows in an easily readable manner. No more wondering who’s approval you need or what you’re waiting on. Even better - no IT team is needed for set up and changes can be made at any time!\n\nCombine all this with integrations into your other business software and you have a tool that makes collaborating with coworkers and manufacturers easier than ever before.\n[ ](https://www.youtube.com/watch?v=hifUYQdYGJI)\n\n**🙏 Ask: How you can help**\n\n* Connect us to engineers, procurement managers, or supply chain teams in your network! Email [emir@forgehq.com](mailto:emir@forgehq.com)\n* Check us out and book a demo at [forgehq.com](http://forgehq.com)\n* Share this post!",
        "url": "https://www.ycombinator.com/launches/KEb-forge-procure-hardware-and-control-spend-on-one-platform",
        "votes": 47,
        "created_at": "2024-01-23T19:41:15.869Z"
      }
    ]
  },
  {
    "id": 29517,
    "name": "RetailReady",
    "slug": "retailready",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/199d48c929434ddb64281cd83b9621eb37c3ed62.png",
    "website": "https://www.retailreadyai.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Every time workers in a warehouse box an order, they reference a 100 page manual with instructions like where to put the shipping label. RetailReady replaces the instruction manual with a tablet application.",
    "one_liner": "An AI-powered supply chain compliance engine",
    "team_size": 12,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1705423924,
    "tags": [
      "B2B",
      "Compliance",
      "Logistics",
      "Supply Chain",
      "AI"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": true,
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    "question_answers": [
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "If retailers receive a non-compliant order, they issue a chargeback to brands. On average, 3% of a brand’s gross invoice amount is deducted due to chargebacks, resulting in an estimated $40B worth of retailer chargebacks per year. We realized this problem after leading warehouse operation shifts together and witnessing first-hand that shipping compliance was not tracked nor enforced systemically, but rather done by manually following 100+ page retailer requirement documents. "
      }
    ],
    "url": "https://www.ycombinator.com/companies/retailready",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/retailready.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/retailreadyai/",
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        "title": "📦 RetailReady - Automating supply chain compliance",
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        "body": "We’re [Sarah](https://linkedin.com/in/sarah-hamer-881bb6126) and [Elle](https://linkedin.com/in/ellesmyth) and we’re excited to launch [RetailReady](https://www.retailreadyai.com/)!\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/58c8581b-0fa1-40eb-8b25-f3a638e32261)\n\n# \n\n# **⏪ Backstory**\n\nBefore we joined YC, we worked at a supply chain unicorn startup called Stord where our jobs involved making their warehouse shipping facility run efficiently. While we were there, we realized that operations still largely relied on paper to pack an order correctly. Let me explain what actually happens in the warehouse when you order something from Walmart…\n\n# **🎯 TL;DR**\n\nEvery time workers in a warehouse box an order, they are supposed to reference 100+ page manuals that include precise packing instructions like where to put the shipping label. It’s not practical for warehouse workers to check the manuals on every order, and thus mistakes happen. These mistakes result in hefty fines, amounting to $40B annually! RetailReady’s mobile application replaces the paper manuals, making it easy to stay compliant and mitigate these fines, without any training time or integrations required.\n\n# 🔍 **Problem**\n\nRetailers (e.g. Walmart, Amazon, Target) outline unique shipping requirements for brands (think Dove, Hanes, Stanley) through 100+ page manuals called routing guides. If retailers receive a non-compliant shipment such as incorrect label placement, they issue brands a compliance violation fee, called chargebacks.\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/3c7c8568-5137-44f9-bd62-b58db6a1e27e)\n\n_An example from page 227/399 of Walmart’s guidelines…_\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/24f203b7-3b94-4fb4-a5f7-36aa04afaa1e)\n\n_…And how these shipping guidelines manifest on the warehouse floor today_\n\nOn average, 3% of a brand’s gross invoice amount is deducted due to chargebacks, resulting in an estimated **$40B worth of retailer chargebacks per year.**\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/0a42156f-e506-4efd-83a2-1ba958617c96)\n\n_A subsection of violation fees outlined in a retailer routing guide_\n\nOn the flip side, when retailers receive these orders from brands, their warehouse team also uses their own printed routing guides to determine whether or not a shipment is compliant, and then manually enter associated fines into a spreadsheet. 10-12% of all orders retailers receive are deemed non-compliant and **require 2X the labor time**.\n\n# **🦾 Solution**\n\nRetailReady is the ultimate retail compliance solution for all stakeholders, requiring no training time or integrations.\n\n**Third-Party Logistics (3PLs):** Our user-friendly mobile application ensures operational shipping compliance to retailers. Our software ingests retailer routing guides and translates them into step-by-step workflow tasks while providing a visual repository of every order for dispute resolution. \n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/7a4fe104-9286-477a-acc9-5876923aad93)\n\n**Brands:** Our dashboard offers insights into your or your 3PL's operations, allowing you to upload chargebacks. This data enhances our model, tailoring your packing process with extra validation checks.\n\n![uploaded image](/media/?type=post&id=78869&key=user_uploads/1327498/d292d505-6763-4b3b-8d1d-778251eaa478)\n\n**Retailers:** Our retailer mobile app automatically detects and records shipping compliance errors from vendors, speeding up revenue generation and increasing labor efficiency. \n\n# **👋Our Ask**\n\n* If you know any brands / 3PLs that are struggling with retailer compliance or retailers that are struggling with vendor compliance, we’d love warm intros! Email us at [founders@retailreadyai.com](mailto:founders@retailreadyai.com) \n* If you are a brand / 3PL / retailer that is interested in our solution, [schedule](https://cal.com/retail-ready) a demo with us!\n* Are you or do you know a rockstar software engineer? Fill out [this](https://forms.gle/fWxHBTn9ovmQen328) form! We’ll be looking to hire a founding engineer in the coming months.\n* Follow us on [LinkedIn](https://www.linkedin.com/company/retailreadyai/) for weekly blog posts!",
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        "tagline": "Always know when and how much to re-order",
        "body": "[Spherecast](https://www.spherecast.ai/) is an inventory copilot supporting multi-channel brands with their inventory decisions.\n\n**❌ The problem**\n\nAs soon as brands go multi-channel, e.g. enter a marketplace or are placed at offline retailers, they face new complexities when it comes to planning demand.\n\nBesides that, scaling into multiple channels often entails adding new warehouse locations through the supply chain, be it by sourcing raw materials by yourself or adding FBA as an outbound fulfiller.\n\nThis is accompanied by rising logistics costs and inventory constraints (such as the low inventory level fee of Amazon or expiration date requirements for sales channels).\n\nThe combination of these aspects leaves supply chain managers with a sheer amount of different constraints to handle – often in very large spreadsheets. This leads to inventory distortion costs – the cost of stockouts and overstock – which is a $1.8 trillion USD problem for retailers worldwide.\n\n**✅ The solution**\n\nSpherecast combines demand planning, replenishment and inventory optimization in one platform. We connect to shop systems and ERPs automatically.\n\nWith the platform, brands can automatically get:\n\nA library of machine learning forecasts per product and channel to optimize forecast accuracy combined with a collaborative environment to plan with multiple stakeholders.\n\nReplenishment optimization, considering\n\n* Inbound orders and shipments to any warehouse\n* Outbound (future) send-ins (e.g. to another warehouse)\n* Linear constraints such as dynamic safety stock, target coverage and lead times\n* Non-linear constraints such as MOQ are integrated\n\nWith that, we believe inventory management should transform into inventory optimization for everyone.\n\n**🚀 Our mission**\n\nWe want to create a world where stockouts do not exist anymore. Imagine any product at the right place, at any time — enabled by Spherecast.\\\n\\\n**🙏 Our ask**\n\nIf you happen to know supply chain managers at multi-channel e-commerce brands – we’d love to chat!\n\n* Book a demo [**here**](https://cal.com/leon-hergert) or contact us via [**leon@spherecast.ai**](mailto:leon@spherecast.ai)\n* Tell your network about inventory optimization for e-commerce and share this post\n* Check out our website [**spherecast.ai**](https://www.spherecast.ai/)\n\n![uploaded image](/media/?type=post&id=82556&key=user_uploads/1600407/4201ebec-ac0f-4da5-9057-6476442cae53)\n\n_From left to right: Felix Grote (Founding Business Developer), Pascal Schindler (Co-Founder & CTO), Paul Dietrich (Co-Founder & CPO), Leon Voland (Founding Engineer), Leon Hergert (Co-Founder & CEO)_",
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    "launches": [
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        "id": 82827,
        "title": "Pax AI - TurboTax for Import Duty Rebate",
        "tagline": "We make import duty rebates a few clicks away, not months, with AI.",
        "body": "TL;DR - Billions of dollars paid on import duties are eligible for return every year, but the claim process is costly and time-consuming. That’s where Pax comes in. We turn complex regulations into algorithms, so importers of all sizes can reclaim the money that's rightfully theirs effortlessly. **We can give sub $50m sales ecommerce brands 3-5% back on their sales**.\n\nHi everyone, we’re Penny and Chris, aka the team behind [Pax](https://www.getpaxai.com/).\n\n![uploaded image](/media/?type=post&id=82827&key=user_uploads/628376/ecb63d9f-1c1a-44f0-9918-ea5377851bdb)\n\n🧠 [Penny](https://www.linkedin.com/in/pennypinyichen/): 8+ years in research, built algorithms for supply chain and logistics @ Flexport, Amazon & MIT. Chat with me about #optimization #sauna #Taiwan.\n\n🎯 [Chris](https://linkedin.com/in/ctle): 6+ years in software engineering, built financial systems and supply chain solutions @ Amazon, Brex & TikTok. Chat with me about #boxing #meditation #Vancouver. \n\n# Problem\n\nU.S. companies spend over $100 billion annually on import taxes. The good news is that Duty Drawback—a tax refund program—lets companies reclaim that cash! Astonishingly, $10 billion (80% of eligible refunds) goes unclaimed each year. Why? The process is a real headache.\n\nToday, dealing with the government and customs brokerages takes months, as they take 10-20% of the refund and refuse to work on claims under $100k. As a result, only large enterprises file drawbacks, leaving smaller businesses out in the cold. With trade wars heating up, duty drawbacks are more important than ever—new rules like Tariff 301 include an additional 25%- 100% duty on $50 billion of Chinese goods. It’s time to make the process simple and accessible!\n\n# Solution\n\nPax creates a [**TurboTax-like experience**](https://youtu.be/UkJRXpiqLTo?si=J_b6BbnXw9erlv-9), requiring no duty drawback expertise. Our product uses AI to handle the heavy lifting of collecting, extracting, and validating data and maximizes claim amounts with optimization algorithms. Pax democratizes duty drawback, enabling importers of all sizes to recover money that is rightfully theirs.\n\nUsing Pax, companies:\n\n* Save hundreds of hours dealing with manual data entry.\n* Reclaim millions of dollars spent on import duties.\n* Full in-suite dashboard and analytic reporting.\n\n😀 **Ask**: If you or any companies you know import goods into the U.S. (e.g., retailers like Nike or manufacturers like Zero Motorcycles) or customs brokerages, we’d love to chat! Please reach us at [founders@getpaxai.com](mailto:founders@getpaxai.com)! ",
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    "long_description": "Distro is the all-in-one AI-powered sales platform for counter staff and inside sales at industrial wholesale distributors (HVAC/R, plumbing, electrical, and more).",
    "one_liner": "The AI co-pilot for sales reps at industrial wholesale distributors.",
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        "id": 80953,
        "title": "🏭🤖 Distro - Bringing point-of-sale AI to industrial distribution",
        "tagline": "The AI co-pilot for sales reps at industrial wholesale distributors.",
        "body": "[Distro](https://distro.app/) is the AI sales co-pilot designed for industrial wholesale distributors. We created Distro out of a passion for developing software for the “real economy,” and in particular for the trades. The Distro team is based in, and loves, NYC! 🗽\n\n### 😅 **The Problem**\n\nDistributors, particularly those mid-size and smaller, face a long list of point-of-sale challenges these days.\n\n_🧠 Brain drain_: the most experienced reps are at or near retirement and are taking a great deal of tribal knowledge with them.\n\n_🔧 Complex sales_: quoting entire systems, load calculations, replacing legacy parts and equipment.\n\n_📦 Inventory challenges_: growing SKU counts, supply chain disruptions, decreased inventorying by contractors.\n\n_🎓 Training and retention_: counter reps, in particular, are difficult to hire, train and retain.\n\nThese issues are amplified by the increasing importance of counter and inside sales relative to the rest of the sales organization–there has been a whopping 13 percentage point shift\\* towards counter staff and inside sales influencing purchasing decisions, moving away from territory managers/outside sales.\n\nTo top it all off, there is the ever-present and growing threat of larger players that have the resources to throw money and bodies at the aforementioned problems.\n\n_\\*_ 2023-2024 State of the Channel, HARDI (Heating, Air-conditioning & Refrigeration Distributors International)\n\n### 🔍 **Our Approach**\n\nWhat began as an academic curiosity about how to apply AI to distribution evolved into our team spending countless hours with distributor reps across the country over the course of a year, going deep on their day-to-day challenges, and building a distributor-centric solution from the ground up in partnership with several leading distributors. \n\nThis experience–fully immersing ourselves in a distribution vertical in order to go far beyond a superficial understanding of that vertical’s product universe and sales workflows–has shaped our product philosophy and overall approach. Some of our learnings:\n\n📍 _Meet reps where they are_: don’t try to push reps to adapt to a totally new paradigm. Adapt our workflows to how things really work at the counter.\n\n🚀 _Effortless onboarding_: distributor IT teams don’t need another tech project to distract them. Build solutions that avoid the need for long implementations.\n\n🔒 _Data sanctity_: distributors can spend a lot of time, energy, and money curating their data. Complete data security and privacy are necessary to protect that advantage.\n\n🛠️ _Enhance, don’t replace_: the human element is the key to a distributor’s value-add to its contractor customers. We’re building Iron Man’s suit, not the Terminator.\n\n### 💡 **Our Solution**\n\nOur platform helps counter and inside sales reps work more efficiently by transforming complex customer requests into real-time product information and quotes. With Distro, reps can quote faster, boost conversion rates, and increase customer retention. We support distributors in sectors like HVAC/R, plumbing, electrical, and more.\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/a65bf5e8-d75d-422d-961c-0e3f049162f4)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/7ff364d0-e77c-4dc4-82d2-16db7e4cd9cf)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/e80a0ede-809d-4ac0-b6c3-72b64f1c0e3e)\n\n![uploaded image](/media/?type=post&id=80953&key=user_uploads/742025/170c793c-6a8a-466a-8ea5-bb3623e8a427)\n\n### 🙏 **Asks**\n\n🤝 Connect with us: If you are a founder in the distribution, manufacturing, or contractor spaces, we’d love to share learnings.\n\n📣 Customer intros: distributors, contractors, and OEMs, particularly in HVAC/R, plumbing, and electrical.",
        "url": "https://www.ycombinator.com/launches/L3h-distro-bringing-point-of-sale-ai-to-industrial-distribution",
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        "full_name": "Berni Hausleitner",
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        "title": "Supply Chain Operating System Startup for Manufacturers Joins CMTA | California Manufacturers & Technology Association",
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        "id": 90126,
        "title": "Soff: The AI-powered Supply Chain Hub",
        "tagline": "Automating procurement to save manufacturers time and money.",
        "body": "# It Is 2025\n\nTariffs are spiking. Contracts are collapsing. And manufacturers? They're fighting to keep the lights on while costs explode.\n\n📉 Fortune 500s have already lost **over $5 billion** to supply chain failures this year.\\\n📈 Tariffs are **hitting 145%**. Imports could plummet 20%.\n\n_So who’s left holding the bag?_\n\n**Procurement**. They need to keep raw materials flowing—fast!\n\nBut instead of focusing on supplier relationships or unlocking opportunities, procurement teams are stuck chasing emails, digging through spreadsheets, and losing time—and money—by the hour.\n\n# Enter Soff\n\n![uploaded image](/media/?type=post&id=90126&key=user_uploads/1972623/f4436cc5-bc8e-4b95-8d0a-1ccdfa93e46f)\n\nSoff connects directly to your purchasing inbox, streamlining how manufacturers request, track, and approve supplier quotes—all in one place.\n\n1. No more chaos. Just **faster, smarter** procurement.\n2. **60% faster** procurement cycles.\n3. Teams freed up to do what matters: manage supplier relationships and **keep production running**.\n\n![uploaded image](/media/?type=post&id=90126&key=user_uploads/1972623/25354546-6587-414f-a341-6414a4567cc1)\n\n# The bottom line\n\nYou can’t control global tariffs. But you **can** control how fast you respond. The manufacturers who win in 2025 will be the ones who move **quicker than the chaos**.\n\n👉 Visit [soff.ai](http://soff.ai) to see how.\\\n🎯 Know a manufacturer? We’re offering **free consultations** to navigate today’s tariff mess.\\\n⬇️ Hear what customers say about Soff.\n\n<https://youtu.be/I50ypYIvCbA>",
        "url": "https://www.ycombinator.com/launches/NRe-soff-the-ai-powered-supply-chain-hub",
        "votes": 13,
        "created_at": "2025-05-06T13:34:15.864Z"
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      {
        "id": 83460,
        "title": "🚛 Soff: Supply Chain Operating System for Manufacturing Companies",
        "tagline": "Unify supply chain data and automate core workflows.",
        "body": "**⛓️ TL;DR**\n\n[Soff](https://soff.ai) is a supply chain operating system for manufacturing companies. We automate data entry, requesting quotes, comparing quotes, and issuing purchase orders. Our customers save dozens of hours a week spent on repetitive manual tasks.\n\n👬 **Team**\n\nWe met five years ago while studying at the CDTM in Munich. Most recently, [Berni](https://www.linkedin.com/in/hausleitnerb/) worked as a full-stack engineer at Tesla on the Autopilot team, whilst [Raban](https://linkedin.com/in/raban) finished his engineering master’s at Stanford. At Tesla, Berni built tons of internal tooling and saw the supply chain inefficiencies firsthand. During the batch, Raban worked as a purchasing manager for one of our customers.\n\n🌋 **Problem**\n\nSupply chain data is spread across multiple platforms, such as ERPs, custom spreadsheets, and email inboxes, leading to inefficiencies and a lack of visibility. Supply Chain Managers spend hours each week searching through emails and spreadsheets to track the status of parts procurement, from request to quote to award. This process is not only time-consuming but also prone to errors and delays. For example, changes in production schedules require Supply Chain Managers to follow up with all suppliers individually to adjust their purchase orders. Quotes that aren’t used are lost in the abyss of email inboxes. Suppliers are reluctant to upload quotes to yet another portal and often fail to notify about delays, leading to costly production standstills.\n\n🚛 **Solution**\n\n![uploaded image](/media/?type=post&id=83460&key=user_uploads/1755188/cacbe907-12f5-429f-9391-9ba957afa746)\n\nSoff connects suppliers, parts, and quotes into a single platform.\n\nWe integrate with ERPs and email to automate supplier communication, send RFQs, and issue purchase orders. We turn unstructured email and PDFs into SQL-ready data, injecting quotes directly into the ERP system. We eliminate the need for manual data entry and dedicated supplier portals, thus increasing supplier response rates.\n\nOur platform stores quote data, ensuring no loss of information when switching suppliers or moving from single-source to dual-source. It also tracks parts from the initial request through to the final receipt, providing a complete overview for supplier management.\n\nSoff enables manufacturers to deliver higher-quality products faster. Companies like SpaceX (Warpdrive), Rivian (Basecamp), and Apple (Incline) spend millions on building their in-house supply chain tools—we bring that level of efficiency to any manufacturer.\n\n**❤️ How you can help**\n\nIf you work in Supply Chain or work(ed) at a manufacturing company we’d love to connect. Send us a message at [founders@soff.ai](mailto:founders@soff.ai). 📨\n\n![uploaded image](/media/?type=post&id=83460&key=user_uploads/1755188/a277625d-201c-471a-a6d4-5a9fa4c0a104)\n\n",
        "url": "https://www.ycombinator.com/launches/Li8-soff-supply-chain-operating-system-for-manufacturing-companies",
        "votes": 84,
        "created_at": "2024-08-27T14:42:52.309Z"
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    "id": 29791,
    "name": "Cartage",
    "slug": "cartage",
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    "website": "https://cartage.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Cartage is the future of freight coordination. Transparent, tech-driven and eliminating the need for human coordinators.",
    "one_liner": "Autonomous freight coordination",
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        "url": "https://www.ycombinator.com/companies/cartage/jobs/1QP2BxS-sales-development-representative",
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        "id": 83370,
        "title": "Cartage: Autonomous freight operations 🚚",
        "tagline": "Service-as-software that replaces freight brokers and logistics teams.",
        "body": "**_Tl;dr:_** You don’t need people to coordinate freight. We replace brokers and logistics teams, cut costs by 30%, and embed visibility into shipping.\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/0930f62f-8507-486b-a01b-846b7bceea4e)\n\n**🫠 Problem**\\\nManufacturers and distributors in North America spend $400 billion every year on third-party vendors to coordinate freight shipments for them. These vendors are inefficient and opaque and inflate freight spend by up to 50%.\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/029b60ed-1218-4b77-ab82-d9e67e073503)\n\n**😁 Solution**\\\nCartage is a service-as-software system that coordinates freight shipments between shippers and trucking companies. We replace freight brokers and internal logistics teams. By requiring minimal headcount to coordinate freight, we afford margins traditional vendors can’t, reducing freight costs for shippers by up to 30%.\n\nIn addition to cheaper shipping costs, we embed technology into the shipping experience, providing all stakeholders visibility and transparency on shipments.\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/3986ca96-2699-4343-9aa8-03854af6c159)\n\n**😁 Impact**\\\nWe started by selling software to freight brokers, growing to $150k ARR in under 4 months full-time, but since pivoting to replacing brokers, we’ve received immediate love from shippers.\n\nWe’ve signed 8 shipper customers since launching in early August, and have acquired [Westcore Logistics](https://westcorelogistics.com/), [Canada’s fastest-growing logistics company](https://www.newswire.ca/news-releases/westcore-logistics-places-no-3-on-the-globe-and-mail-s-fifth-annual-ranking-of-canada-s-top-growing-companies--867532237.html) in 2023. We are on pace to coordinate more than $2m in freight shipments over the next six months.\n\n**👨‍💻 Team**\\\n[Abdul Basharat](https://www.linkedin.com/in/abashara/) (CEO) and [Josh Lampen](https://www.linkedin.com/in/joshlampen/) (CTO) were early employees at [Rose Rocket (YC S16)](https://www.roserocket.com/), a leading ERP solution for trucking companies. [Harman Sahota](https://www.linkedin.com/in/harmansahota/) (COO) founded Westcore Logistics, scaling it from 0 to $50M+ in revenue within four years.\n\nFun facts:\n\n* Abdul trained as a military pilot\n* Josh played water polo for Team Canada\n* Harman started brokering freight at 14\n\n![uploaded image](/media/?type=post&id=83370&key=user_uploads/1567005/773960d0-c363-46a0-aca9-7b09af81e61b)\n\n",
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        "full_name": "Jack Cameron",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder and CTO at Saldor. Previously at Crusoe Energy building storage solutions for Crusoe Cloud.",
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        "title": "Saldor: Helping businesses buy goods and services, and close their books faster",
        "tagline": "AI-Native Procurement and Accounts Payable",
        "body": "### Hey everyone,\n\nWe’re [Jack Cameron](https://www.linkedin.com/in/jackmcameron/) and [Jacob Bland](https://linkedin.com/in/bland-jacob) at [Saldor](https://saldor.com/) .\n\n**TL;DR:** Saldor helps businesses buy goods and services, and close their books faster.\n\n**The Ask**: If you work in procurement or finance, or if you’re building a company with complex purchasing needs, email us at [team@saldor.com](mailto:team@saldor.com). We’d love to talk.\n\n**The Offer**: We’re offering customers a white-glove pilot with no implementation fee.\n\nAfter a brief onboarding call, we’ll do the work required to configure Saldor, connect your existing systems, and load real company data so your team can evaluate it in a live workflow for a short period at no cost.\n\n<https://youtu.be/szTFpL0NWpg>\n\n**The Problem**\n\nBuying something at a company is rarely as simple as placing an order.\n\nAn employee submits a request. Procurement checks vendors, pricing, security, and lead times. Finance reviews the budget. Legal may review a contract. Someone creates a purchase order, follows up with the vendor, tracks delivery, and eventually matches the invoice against what was ordered and received.\n\nMany companies still manage this through email and spreadsheets, or procurement systems that are expensive and cumbersome to operate.\n\nThe problem gets worse for companies building ambitious physical infrastructure. When data centers, factories, and robotics companies cannot get the right equipment on time, entire projects can be delayed.\n\nWe saw this firsthand at Crusoe, where we helped build GPU data centers. Existing procurement systems could cost hundreds of thousands of dollars to implement, required large teams to operate, and still slowed the business down.\n\n**Our solution**\n\nSaldor is an AI-native procurement and accounts payable tool.\n\nEmployees can request goods or services, and Saldor routes each request through the appropriate approval, security, legal, and finance workflows.\n\n![uploaded image](/media/?type=post&id=104430&key=user_uploads/1733940/50e219d2-f23a-4531-b6f6-1c4410b188d2)\n\nOur AI agent communicates directly with vendors to collect documents, follow up on quotes and delivery dates, and keep records updated automatically.\n\nSaldor can then generate purchase orders, track receipts, process invoices, and match bills against what was ordered and received.\n\nTeams can also interact with Saldor through MCP and connect it to their ERP, accounting system, or other internal tools.\n\n**The Team**\n\nJack and Jacob worked together as Crusoe building AI infrastructure before leaving to start Saldor. Jack (CTO) holds a B.S in Computer Science from Carnegie Mellon University. Jacob (CEO) holds a B.S in Electrical Engineering and Computer Science from UC Berkeley. \n\n![uploaded image](/media/?type=post&id=104430&key=user_uploads/1733940/15b63775-05a7-4be6-89dc-30fc96fcb553)\n\n",
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    "country": "US",
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        "full_name": "Lev Glushkovskii",
        "title": "Founder/CEO",
        "founder_bio": "Previously co-founded SabersPro and bootstrapped the company from 0 to $10M+ in sales in 2.5 years, where he restructured the supply chain with factories increasing margins by 15% saving ~1M in profits. Dropped out from the Business, Technology, and Entrepreneurship program (BTE) at NYU Stern.",
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        "full_name": "Dylan McFarland",
        "title": "Founder/CTO",
        "founder_bio": "In high school bootstrapped a furniture startup and in under a year went from selling on Craigslist to running a 40-person factory in Shenzhen. Took those insights and dropped out of NYU Stern BTE to run No Logo, a platform that streamlines supply chain creation for growing companies. ",
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        "location": "New York, NY, US",
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        "salary_range": "$120K - $170K",
        "equity_range": "0.10% - 1.00%",
        "experience": "Any (new grads ok)",
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        "id": 96324,
        "title": "Founding Growth Lead, Paid Media",
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        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$120K - $160K",
        "equity_range": "0.05% - 0.25%",
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        "id": 103396,
        "title": "No Logo: Turn any idea into a real, manufactured product",
        "tagline": "Building the orchestration layer for physical product creation",
        "body": "The last twenty years have made starting a business seamless. Shopify solved the store. Stripe solved payments. TikTok solved distribution. Manufacturing is the one piece that never moved. Launching a single new product still takes 6 to 12 months, tens of thousands of dollars upfront, and a team of specialists. Most great product ideas die before they become something you can hold.\n\nWe are building the orchestration layer for physical product creation, bridging the gap between customer demand and manufacturing supply.\n\nIt works like this. You describe an idea. Our AI visualizes it with you, breaks it into components and manufacturing processes, and matches each step to the right factory in our network. We run production, QC, and fulfillment, going from idea to a growing brand in about a month with no upfront costs.\n\nWe are not putting logos on mugs. We create entirely new consumer products: a digital camera that clips onto a purse, a lava-lamp humidifier, a painting that glows like the sun. We are starting with creators whose audiences have already validated demand; production happens only after demand exists, not before.\n\nSo far we’ve launched hundreds of products, shipped tens of thousands of items, and reached creator audiences totaling more than 90M people. Every product we create makes the network faster and smarter for the next one.\n\nHave a product idea your audience keeps asking for? We'll make it real. [nologo.com](http://nologo.com)\n\n![uploaded image](/media/?type=post&id=103396&key=user_uploads/1864416/00357a42-8390-424d-88fd-cf378c0395fe)\n\n",
        "url": "https://www.ycombinator.com/launches/Qtg-no-logo-turn-any-idea-into-a-real-manufactured-product",
        "votes": 6,
        "created_at": "2026-06-17T22:59:32.498Z"
      },
      {
        "id": 83615,
        "title": "Terra 🌎: Instant supply chain creation",
        "tagline": "Enter Terra, a new world of procurement.",
        "body": "# **TL;DR -**\n\nUse [Terra](http://useterra.com) as an all-in-one platform to seamlessly **develop, manufacture, and ship your products**. Discover pre-vetted suppliers and instantly create modular supply chains, all while having access to wholesale pricing regardless of order quantity.\n\n—\n\n# **The Team**\n\nHello all! We’re [Dylan](https://www.linkedin.com/in/dylan-mcfarland/) and [Lev](https://www.linkedin.com/in/lev-glushkovskii/) from Terra, and we’re _really_ passionate about making custom manufacturing accessible to everyone.\n\n![uploaded image](/media/?type=post&id=83615&key=user_uploads/1859401/1b3de9c2-aefa-40aa-aeeb-7243b3bec363)\n\n# **🚨 The Problem 🚨**\n\nWe’ve been working with suppliers globally since we were freshmen in high school. If you can think of a costly manufacturing or shipping mistake, we’ve likely already made it a dozen times over. But through our experiences building supply chains, we’ve routinely run into the same issues: \n\n⚙️ Way too many moving parts \n\n⚠️ The best factories have high minimum order requirements \n\n👎 Current software is either too rudimentary or ridiculously complex\n\n# **✅ The Solution ✅**\n\n* Forget spending weeks juggling multiple supplier group chats, spreadsheets of shipping quotes, and financial docs. Terra automatically matches you with the right partners through a single dashboard, allowing you to launch products in minutes.\n* We aggregate demand based on similarity, ensuring you’ll get access to the best pricing and factories regardless of order size.\n*  Our platform is completely modular. Build a supply chain entirely from our pre-vetted partners, onboard your existing suppliers, or use a combination of both. No constrictions, only flexibility.\n\n![uploaded image](/media/?type=post&id=83615&key=user_uploads/1859401/38054f53-5593-4f5e-8f1e-0e80ff948676)\n\n# **🤝 Our Ask 🤝**\n\nAre you or anyone in your network looking to launch/scale/streamline manufacturing processes? If so, hit us at [founders@useterra.com](mailto:founders@useterra.com), we’d love to get in touch.\n\nCurrently looking specifically for anyone selling/manufacturing furniture or home goods! ",
        "url": "https://www.ycombinator.com/launches/Lkd-terra-instant-supply-chain-creation",
        "votes": 110,
        "created_at": "2024-08-30T04:18:41.909Z"
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    "id": 30031,
    "name": "Getcho",
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    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Getcho is a local delivery platform for high-value goods. \r\n\r\nWe are building a high-reliability delivery network on top of high-volume, unreliable fleets, just like how TCP builds reliable end-to-end networking on top of an unreliable base network (IP).",
    "one_liner": "The reliability platform for last-mile delivery",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1725840551,
    "tags": [
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      "Delivery",
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      "E-commerce",
      "Retail Tech"
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    "batch": "Fall 2024",
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        "full_name": "Jack Considine",
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        "full_name": "Mike Considine",
        "title": "Founder/CTO",
        "founder_bio": "At Getcho, I’m building software for streamlining and managing last-mile delivery at scale. I was previously Head of Product at K-Optional Software, where I oversaw the development of dozens of custom software products, including two that were acquired.",
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        "full_name": "Evandro Nadal",
        "title": "Founder/COO",
        "founder_bio": "At Getcho, I’ve overseen thousands of deliveries and worked closely with customers to understand their workflows, improve processes, and ensure smooth operations. Previously, I co-founded K-Optional, a software consultancy specializing in logistics platforms. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evandronadal/",
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      {
        "id": 85363,
        "title": "Getcho - a local-delivery platform for high-value retail",
        "tagline": "Getcho: the local retail delivery platform for high-value products",
        "body": "We're [Evandro](https://www.linkedin.com/in/evandronadal), [Jack](https://www.linkedin.com/in/johnpconsidine/), and [Mike,](https://github.com/consofine) and we're building Getcho, a local retail delivery platform for high-value products. Getcho runs on top of third-party fleets, delivering $250,000 of merchandise per month.\n\n## The problem\n\nMerchants have embraced local / on-demand delivery—it boosts sales with urgent shoppers and is cheap, thanks to mega-fleets like DoorDash, Roadie, and Uber. But locally delivered packages are lost, misdelivered, or returned up to 10% of the time; some retail locations spend thousands of dollars each day replacing lost packages.\n\n## The solution\n\nGetcho prevents 95% of failed local deliveries. This saves merchants the costs associated with shipping replacements and, just as important, improves customers' perception of the merchant's brand.\n\nBy flagging GPS irregularities, using AI-assisted calls and texts to guide drivers at pick-up & drop-off, and scheduling around customer availability, Getcho ensures seamless and reliable deliveries.\n\n## Demo\n\n<https://www.youtube.com/watch?v=GFxJq_xekfI>\n\n## About us\n\nJack and Evandro (\"Dro\") met in college. They started a software development firm called K-Optional that they ran for seven years. Mike, Jack's brother, joined K-Optional in 2021.\n\nThere they built logistics products that were acquired or continue to generate millions in revenue, including:\n\n* A [pig tracking](https://en.wikipedia.org/wiki/Pigging) platform that uses hardware and GPS data to check diagnostics on massive oil pipelines.\n* A scheduling platform in the catastrophe insurance space that maps claimants to appraisal locations.\n\nThey spun Getcho out of a curbside pick-up application and went all in once they had delivered a million dollars of merchandise.\n\n## Ask\n\nIf you or someone you know is in retail operations, we'd love to connect & chat.",
        "url": "https://www.ycombinator.com/launches/MCp-getcho-a-local-delivery-platform-for-high-value-retail",
        "votes": 44,
        "created_at": "2024-11-08T00:02:17.366Z"
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    "long_description": "Trava is building AI agents for global trade compliance. Importers lose billions each year to duty overpayments and filing errors. Trava audits customs entries and automates classification to help importers protect margins and stay compliant at scale.",
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    "batch": "Winter 2025",
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    "year_founded": 2025,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trava-ai",
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        "full_name": "Pushkar Lanka",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO at Trava. I was previously an Engineering Manager at Plaid, where I ran the Privacy and Risk engineering org. Before that, I was an early engineer on Meta's blockchain team (Libra/Novi).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pushkarlanka/",
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      {
        "id": 95534,
        "title": "Trava - Protect your margin on every import",
        "tagline": "Helping importers recover overpaid duties, protect margin, and classify products accurately while tariffs shift constantly.",
        "body": "# **TL;DR**\n\nTrava helps US importers recover overpaid duties, protect margin, and classify products accurately even as tariff rules change constantly. If you oversee finance or trade compliance, talk to us. We can help you recover up to 10% of duties paid this year.\n\nhttps://youtu.be/6lKXDCIQj8k\n\n# **Problem**\n\nUS importers have paid **over $200B in duties** in 2025, an all-time high. A significant share of that is overpaid, and most of them never realize it.\n\nTwo shifts explain why this is accelerating:\n\n1. **Tariff volatility has exploded.** Duty rates and HTS rules now change constantly. In 2025 alone, there’s been a wave of Section 301 updates, Section 232 expansions, new IEEPA/fentanyl tariffs, reciprocal tariffs, and more. The systems importers rely on were built for a more stable trade environment and can’t keep up.\n2. **“De minimis” rollback is exposing millions of new SKUs to duties.** Brands that never paid duties before now need accurate HTS codes for every SKU, often with no internal expertise, dramatically increasing classification volume and the risk of costly errors.\n\n**The combined effect:** filing errors and misclassifications are more common than ever, leading to margin leakage, missed refunds, and rising audit exposure.\n\nAnd today’s mitigations fall short:\n\n* Large importers hire **expensive consultants** who audit filings only after duties are paid, tying up cash for months and missing most issues because they review only a small sample.\n* Many lean on their **customs brokers**, who are incentivized to clear shipments quickly, not optimize duty burden, find refunds or classify goods. And capacity is shrinking, as the workforce is aging and fewer new brokers enter the field.\n\n**Importers carry the liability but are flying blind — overpaying duties and holding compliance risk they can’t see.**\n\n# **Solution**\n\nTrava gives importers a system that continuously reviews 100% of their customs entries and product catalog for duty and classification accuracy.\n\nImporters see three core benefits:\n\n1. **Recover margin** by surfacing overpaid duties and missed refunds. Once integrated, Trava often prevents the overpayment entirely by catching issues _before_ duties are even paid.\n2. **Reduce exposure** by flagging underpayments and risky classifications _before_ they turn into penalties because of a surprise CBP audit.\n3. **Classify accurately** with a copilot that suggests correct HTS codes on every SKU, critical as rules change constantly and millions of products lose de minimis protection.\n\nAI handles the heavy lifting, and Trava’s trade specialists validate edge cases and final outputs.\n\n# **Team**\n\nPushkar was an engineering manager at Plaid, where he led Privacy & Risk Engineering and built compliance systems that scaled to thousands of customers and millions of consumers. Before that, he was an early engineer on Meta’s crypto/fintech team (Libra/Novi) building digital payments infrastructure.\n\nHe’s seen firsthand how compliance breaks under scale and regulatory volatility, and how automation with human oversight can turn it into an advantage. He’s now bringing that same approach to the world of trade compliance.\n\n# **Our Ask**\n\nMessage [pushkar@usetrava.com](mailto:pushkar@usetrava.com) or visit [**usetrava.com**](http://usetrava.com) to request early access.\n\n1. **Importers:** We’re running a limited number of year-end duty and classification audits. If you oversee the P&L or compliance, we’ll show you exactly how much margin you’re leaving on the table, and help you classify products correctly.\n2. **Customs Brokers / Trade Consultants / Trade Attorneys:** We’re open to partnerships. Use Trava to offer deeper audits and classifications as a service to your importer clients.\n\n**Intros welcome!** If you know CFOs, compliance leaders, or brokers who’d benefit from this, an intro means a lot.\n\n![uploaded image](/media/?type=post&id=95534&key=user_uploads/2380951/fc39120e-71b2-4372-a22f-7dc6cd7afd46)\n\n",
        "url": "https://www.ycombinator.com/launches/Oqs-trava-protect-your-margin-on-every-import",
        "votes": 26,
        "created_at": "2025-11-16T18:11:03.164Z"
      },
      {
        "id": 88327,
        "title": "Vora: AI Recruiter for Hiring Managers",
        "tagline": "Top candidates, booked directly on your calendar.",
        "body": "**TL;DR:** **Vora gives hiring managers an AI recruiter.** Our AI agent identifies, engages, and books meetings with **top talent that actually respond** — so hiring managers don’t have to spend hours sourcing.\n\n👉 **Hiring founding engineers? Let Vora source and book candidates for you. Fill out **[**this form**](https://docs.google.com/forms/d/e/1FAIpQLScpjg68_IlN1c7xfXqEFsMMLLhxc3IYQpvjXNbdRQTFIWdAtg/viewform?usp=header)** for early access.**\n\n---\n\n### **🚨 The Problem**\n\nThe **best candidates aren’t actively looking** — they already have great jobs. But hiring managers **don’t have the time** to find and engage them.\n\n* **Recruiting software has historically failed** because it was built for **recruiters, not hiring managers** — which means more dashboards, more manual work, and little actual hiring.\n* **Existing tools (LinkedIn Recruiter, ATS systems) require too much effort** — hiring managers still have to search, craft outreach, and follow up.\n* **Recruiters and agencies are expensive and misaligned** — they optimize for placements, not long-term success.\n* **Spending on hiring has never been higher** — companies are publicly offering **$15K+ referral bonuses** just to find top AI engineers.\n\n### **⚒️ The Solution**\n\nWe give hiring managers an **AI recruiter** that automates sourcing and outreach. Instead of spending hours manually searching and messaging, hiring managers **assign the task**, and Vora **delivers**:\n\n* **Our sourcing agent** finds top talent (passive candidates who aren’t applying)\n* **Our research agent** crafts deeply researched emails that convert **5x better** than the basic personalization used by other tools today.\n* **Once they’re activated, our agent schedules them directly on the hiring manager’s calendar**\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/39a04812-770c-4ac4-821e-6203bff527c8)\n\n_(Dashboard used by the internal Vora team)_\n\nBut here’s what sets us apart - we **sell the work, not just the software** - hiring managers don’t need to learn a new tool or spend time navigating dashboards. **They just get meetings booked with candidates delivered straight to their calendar.**\n\nHiring managers don’t need to log in to anything - they interact with **Rachel, our AI recruiter, directly in Slack**, just like a coworker.\n\nRachel **keeps hiring managers updated, asks for feedback, and refines searches — all in Slack.**\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/14407af6-d1f7-441a-ba9d-77120a6938b7)\n\n---\n\n### **💡 Our Wedge**\n\nWe help **fast-growing tech startups (Seed to Series B) attract the best engineers and hire faster.** Our early customers include:\n\n* **Early-stage startups** — Founders hiring their **first engineers** without an in-house recruiter.\n* **Scaling teams** — Hiring managers at **Series A/B companies** who need to grow their team quickly.\n* **VC-backed companies** — Startups competing for **top AI and engineering talent** in a competitive market.\n\n### **🚀 We’re already delivering results**\n\n* **Trusted by fast-growing AI startups** in SF & NYC (Seed to Series B)\n* **Multiple startups already running paid pilots**\n* **Hundreds of top candidates sourced & engaged**\n* **Dozens of hiring manager screens booked — directly on their calendars**\n\nHere’s a testimonial from an early customer:\n\n_\"In just two weeks, Vora booked six interviews with engineers we previously couldn’t even reach. It’s like having a world-class recruiter embedded in our team.\"_\\\n**—** Co-Founder/CTO @ AI Startup (backed by YC and General Catalyst)\n\n### **🤝 TEAM**\n\n**Pushkar** was an **engineering & hiring manager at Plaid**, where he experienced firsthand how **delays in hiring can prevent you from hiring the best people**. Previously, he was an early engineer on **Facebook’s crypto team** **(Novi)**.\n\n![uploaded image](/media/?type=post&id=88327&key=user_uploads/2380951/1011e3a6-60d2-42ae-b4c6-48d27cd2b4c0)\n\n---\n\nIf you’re hiring and want top candidates booked directly on your calendar, hit us up at [founders@usevora.ai](mailto:founders@usevora.ai)",
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        "created_at": "2025-03-07T17:07:48.578Z"
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    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1747765211,
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        "full_name": "Smit Dagli",
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        "founder_bio": "Automating sales for distributors using agents. Prev built evals for agents @Observe, backend engineering at Abnormal Security, ChestnutFi, Salesforce",
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        "full_name": "Vikhyath Mondreti",
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        "title": "Kanava - Your First AI Sales Hire for Wholesale Distributors",
        "tagline": "Answers routine inbound sales calls using ERP data, with hands-free note logging and CRM updates for field reps",
        "body": "**Industrial Sales teams are underwater. Here’s why - and what we’re doing to fix it.**\n\nHi everyone! We’re [Smit](https://www.linkedin.com/in/smitdagli/) and [Vik](https://www.linkedin.com/in/vikhyath-m-a00357128/) - the founders of [Kanava AI](https://kanava.ai/)\n\n**Problem and Opportunity:**\n\nThe wholesale distribution industry is massive: _$9T+ in annual revenue. 410,000+ businesses. 6 million+ employees._\n\nAnd yet — sales teams are drowning.\n\n* **A third of the workforce is over 55**, and replacements aren’t coming fast enough.\n\n  (“Most of my sales reps are **retiring in the next 2-3 years**, I have **NO idea** what I’ll do after” - a medium sized electrical goods distributor from Indiana we met)\n* **Reps spend less than 30% of their time selling**. The rest? Answering repetitive calls (“What’s the price of this SKU?” “Which warehouse has it?”), digging through systems, and manual follow-ups.\n* **Over 25% of inbound calls never reach a human** — lost revenue, lost trust, lost time.\n\nThis isn’t just inefficiency. It’s operational drag at scale — and it's only getting worse.\n\n[https://www.youtube.com/watch?v=s1NVVxRnLL8](https://www.youtube.com/watch?v=s1NVVxRnLL8%5C%5C)\n\n**How’re we solving it:**\n\nWe’re building Kanava AI, a voice-based AI agent designed for wholesale distributors.\n\nIt handles repetitive tasks like **answering stock, price,** and **order status calls** using live **ERP** data and logging **field notes hands-free**, drafting follow-ups, updating the **CRM** all _automatically_.\n\nIt’s like a junior rep-in-training. It starts with the basics, but improves quickly by learning from the company’s best performers. Over time, Kanava takes on more:\n\n•⁠ **⁠Managing consultative sales calls** \\\n•⁠ ⁠**Identifying upsell opportunities** in real time \\\n•⁠ ⁠**Surfacing coaching insights** from rep conversations \\\n•⁠ ⁠**Re-engaging dormant accounts** with timely, data-backed outreach\n\nAnd by the time these reps are ready to retire, Kanava is **ready to fill the void they leave.**\n\nMost AI tools in this space fail because they try to do too much, too early, and distributors are famously late adopters. We’re taking a more deliberate path: start with low-leverage work, prove value, and scale responsibility as the system earns it.\n\n**Our Team**\n\nVik (CTO) and Smit (CEO) know each other since freshman year of college at UC Berkeley. Both of us studied CS, and worked as AI engineers at various startups before deciding to build our own thing and join YC.\n\n**Smit:** Built incident resolution agents at a series B observability startup called Observe. Previously worked at Abnormal Security and Salesforce.\n\n**Vik**: Built voice agents for numerical data entry and hands-free navigation for a data management platform called Uncountable. Previously worked at Uber and Amazon.\n\nWe’re both outsiders to the wholesale distribution industry, but we’re listening hard and learning fast.\n\nWhat made us really want to work together was being on the same ultimate frisbee team in the senior year of college - that team was a disaster, we lost every single game we played by huge margins, but despite that, we had a ton of fun and stuck together!\n\n**Our Ask** If you know any **distributors, field sales heavy businesses or IMR’s (Independent Manufacturer Reps)**, we’d appreciate a connection at [smit@kanava.ai](mailto:smit@kanava.ai) or [vikhyath@kanava.ai](mailto:vikhyath@kanava.ai). We’ll make their lives a lot easier and buy you a coffee ☕🤎\n\n![uploaded image](/media/?type=post&id=90571&key=user_uploads/2493431/bdc2c377-20b6-4db8-ac56-448fb5adafa6)\n\n",
        "url": "https://www.ycombinator.com/launches/NYp-kanava-your-first-ai-sales-hire-for-wholesale-distributors",
        "votes": 56,
        "created_at": "2025-05-20T20:55:42.407Z"
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    "id": 30519,
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    "all_locations": "Fresno, CA, USA",
    "long_description": "Next-generation truck management software to automate back-office operations for trucking companies. Features include AI agents to automate inbound/outbound calls, AI document upload to reduce manual data entry, load sourcing tools, automated accounting, and more.",
    "one_liner": "AI-powered operating system for trucking companies.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1747261239,
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    "isHiring": true,
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      "America / Canada"
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    "demo_day_video_public": false,
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    "url": "https://www.ycombinator.com/companies/hemut",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/hemut.json",
    "year_founded": 2024,
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    "country": "US",
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        "user_id": 2575780,
        "full_name": "Loki Cheema",
        "title": "Founder/CEO",
        "founder_bio": "Start as a homeless teen at 16. Worked in a motel for 100 hour weeks where I met a driver and helped him with his paperwork. Realizing this, I helped his friends and then created a dispatching company. Understood shipping, created a grocery store and restaurant thereafter to connect and meet new people! Now focused on trucking software to alleviate inefficiencies I've personally experienced over the last 6 years in the industry. ",
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        "location": "Pune, MH, IN / Pune, Maharashtra, IN",
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        "equity_range": "",
        "experience": "1+ years",
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        "id": 90499,
        "title": "Hemut: AI-Powered Truck Management Software",
        "tagline": "Legacy Logistics, Rebuilt with AI.",
        "body": "**TL;DR:** AI-powered truck management software to automate back-office operations for trucking companies.\\\n[**Check us Out!**](https://drive.google.com/file/d/18BF2PM5YkSSTOXs9yqM_CQ0jv2Gy9xFD/view?usp=sharing)\n\n**The Problem and Solution:**\n\nTrucking has always been a mission critical industry, with nearly 70% of all US goods hauled via trucks, resulting in a need for continuous operations. This results in an industry that hasn’t paused for a tech update in years; in my time in the industry, I saw dozens of offices running on pen and paper or excel spreadsheets, documents being sent in WhatsApp group chats connected to printers, and I myself had 3 phones all on hold menus with different people. And even the largest of companies today navigate a maze of outdated, poorly integrated point-solutions.\n\nSo, alongside Anthony and Sam, I decided to build a product that rectifies those problems. With Hemut’s software, you can replace pen and paper scribbles with intuitive oversight of even national level fleets, replace the WhatsApp group chats and manual data entry with AI document parsing, and eliminate the need for 3 phones with AI agents to automate inbound/outbound calls. With Hemut, trucking companies can execute every step of the trucking workflow—from finding and booking a shipment, driver communication, and logging every last dollar—all on one platform, with efficiency never seen before.\n\n**The Story:**\n\nAt 16 years old, I got kicked out of my home and faced homelessness, working 100-hour weeks at a motel where I met a truck driver who I eventually helped file paperwork for. Siezing the opportunity, I also helped file paperwork for his friends too, eventually saving enough money to start dispatching trucks and put a roof over my head.\n\nFast forward 6 years to the end of 2024, I realized that voice AI would eventually be capable enough to automate a lot of the bottlenecks I encountered during my time in the logistics industry.\n\n**Our Ask:**\n\nAlways looking to learn about the cutting edge of tech and the people driving the innovation so feel free to say hi. If you also happen to know anyone in the trucking industry (veteran trucker. investor, or dev), we’d love to be introduced!\n\n**Contact:** [cheema@hemut.com](mailto:cheema@hemut.com)\n\n![uploaded image](/media/?type=post&id=90499&key=user_uploads/89898/fd722801-3fb0-4651-b446-faffc18ea6d3)\n\n",
        "url": "https://www.ycombinator.com/launches/NXf-hemut-ai-powered-truck-management-software",
        "votes": 129,
        "created_at": "2025-05-22T20:51:17.235Z"
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    "one_liner": "chrt is a logistics platform for time-critical shipping",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1747152745,
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    "year_founded": 2025,
    "city": "Los Angeles",
    "country": "US",
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      "name": "Nicolas Dessaigne",
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        "full_name": "Kyle Reagan",
        "title": "Founder/CEO",
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        "title": "📦 chrt – Logistics Platform for Time-Critical Shipping",
        "tagline": "We enable businesses to deliver their most critical items same-day with full visibility",
        "body": "Hi everyone! We are [Kyle](https://www.linkedin.com/in/kyle-reagan-surfs/) and [Aaron](https://www.linkedin.com/in/aaroncarver/), co-founders of [chrt.com](https://chrt.com). We’re helping businesses deliver and track their most critical same-day shipments.\n\nhttps://youtu.be/EJfOqCY06rw\n\n**🎯 Who is it for?**\n\n* Industrial manufacturers and healthcare companies that need white-glove, same- or next-day delivery with live tracking — for shipments such as life‑saving therapeutics or mission‑critical production parts\n* Courier companies and freight forwarders that want to provide their customers with end-to-end tracking and custom workflows\n\n**⛔️ Problem:**\n\n* Businesses shipping critical items depend on outdated freight forwarders\n* Two-thirds of these forwarders’ staff are call-center agents coordinating shipments across thousands of professional courier companies\n* Call center agents rely on phone and email to reach couriers\n* With no real-time tracking, shipment status is unknown, causing frequent failures and delays\n* Your life-or-death shipment? Tracked worse than a pizza\n\n**✅ Solution:**\n\n![uploaded image](/media/?type=post&id=90745&key=user_uploads/1381778/dc006314-7ec3-4274-afff-89ca44a92b31)\n\nchrt is the all-in-one platform for time-critical logistics\n\n* 📦 Businesses place urgent shipments on [**chrt.com**](http://chrt.com)\n* 🚛 chrt matches a vetted provider for pickup and delivery\n* 📱 Couriers execute the job entirely through chrt’s mobile app\n* 📍 Real-time tracking and custom workflows provide complete shipment visibility\n* ⚡ Automation slashes overhead, delivering faster, cheaper, and more reliable service\n\n**🙋‍♂️ About us:**\n\nWe’re software engineers that became friends years ago at McKinsey. Kyle is an expert in time-critical logistics, having led strategy at a leading startup in the space. Aaron led gen AI deployment projects at Deloitte, launching AI projects for clients like the Department of Defense. We were shipping code together on nights and weekends for years before CHRT; now we’re also shipping freight.\n\n**🙌 How to help us:**\n\n**If you have or handle time-critical shipments (or know someone who does) we would love to get connected**. We’ll help you ship your most complex and important orders same-day.\n\n📧 Email us: [**founders@chrt.com**](mailto:founders@chrt.com)\n\n![uploaded image](/media/?type=post&id=90745&key=user_uploads/1381778/7e53965b-b0da-4f03-b2fa-d57d74b931d1)\n\n",
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    "name": "Lumari",
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    "long_description": "Lumari is the world's first AI-powered procurement automation platform purpose-built for direct materials and supply chain execution. \r\n\r\nBacked by Y Combinator, Lumari is a well-funded startup that deploys 100s of always-on AI agents that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end -- compressing cycle times and giving teams full visibility into active orders, RFQs, and supplier performance.\r\n\r\nFounded by engineers from Google, Tesla, Amazon, and Stripe who have built and scaled supply chain systems serving millions of users. \r\n\r\nBuilt to operate directly on top of existing tools and ERP systems, Lumari helps procurement teams move faster, eliminate operational bottlenecks, and build more resilient supply chains. No rip-and-replace, no supplier onboarding. Lumari handles the manual chase: quote follow-ups, PO confirmations, delivery status updates, and risk escalation.\r\n\r\nLumari helps companies from Fortune 500s to fast-growing startups automate work from sourcing to delivery, streamline supplier communication and order management, and bring full visibility to their procurement operations.\r\n\r\nTo learn more check out https://lumari.ai/",
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        "full_name": "Eshani Mehta",
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        "user_id": 526569,
        "full_name": "Sam Lamba",
        "title": "Founder/CTO",
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        "id": 87969,
        "title": "Software Engineer",
        "url": "https://www.ycombinator.com/companies/lumari/jobs/EaQMR7l-software-engineer",
        "location": "San Francisco, CA, US",
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        "title": "Lumari - AI Digital Workers for Supply Chain",
        "tagline": "We enable supply chain teams to automate manual work with always-on AI teammates that monitor, coordinate, and take action.",
        "body": "Hey everyone! We’re [Sam](https://www.linkedin.com/in/samarthlamba/) and [Eshani](https://www.linkedin.com/in/eshanimehta/), the co-founders of Lumari 🔥\n\n**TL;DR:** Lumari is AI-powered procurement automation for direct materials and supply chain. We deploy **100s of always-on AI agents** that run sourcing workflows, manage RFQs, expedite purchase orders, and coordinate supplier communication end-to-end.\n\n### **The Problem ❌**\n\nSupply chain teams are stuck in reactive mode.\n\n* Buyers spend their days copy-pasting between email, spreadsheets, and ERPs, chasing supplier quotes, following up on late POs, and manually entering delivery updates\n* Missed delivery dates and poor visibility lead to expediting costs, production delays, and revenue risk\n* Existing tools require suppliers to adopt new portals and force rigid workflows that don't reflect how teams actually operate\n* There's too much operational work and not enough time for strategic decision-making\n\n### **Lumari’s Solution ✨**\n\nLumari brings autonomous agents to supply chain and acts as a **force multiplier** for the team.\n\n* **Automates** the manual chase across the entire procurement lifecycle, from RFQs to PO tracking to supplier follow-ups\n* Compresses cycle times and gives teams full **visibility** into active orders, RFQs, and supplier performance\n* Operates directly on top of **existing tools** (ERP, email, Slack, Excel) with no rip-and-replace and no supplier onboarding\n* Teams are always in **control** with configurable guardrails and approval layers for every action\n* **Customize** your agent behavior and configuration in plain English\n\nWe **partner** closely with every customer to adapt our agents to their specific processes and systems, from **Fortune 500s** to fast-growing scale-ups.\n\n### **The Team**\n\n![uploaded image](/media/?type=post&id=90564&key=user_uploads/1755497/3a1a90ce-6ebb-49fc-8c0e-6b1cd98be8fb)\n\n[Sam Lamba](https://www.linkedin.com/in/samarthlamba/) is an ex-Google engineering lead who led the development of AI-driven products that scaled to millions of weekly enterprise users, and has received 2 AI patents. Sam also previously worked at Amazon and Tesla and holds a degree in Electrical and Computer Engineering and Computer Science from Duke University.\n\n[Eshani Mehta](https://www.linkedin.com/in/eshanimehta/) was previously at Stripe leading payments intelligence products handling $XXX million in volume. She also previously worked at Robinhood and Snap and studied Computer Science at UC Berkeley. \n\n### **Our Ask**\n\n* 📅 [Book a meeting](https://cal.com/team/lumari/lumari-demo) with us if this could be useful for you or your team\n* Follow us on [LinkedIn](https://www.linkedin.com/company/lumari-io)!\n* Check us out at [lumari.ai](http://lumari.ai) or read lumari.ai/blog to understand the problem better",
        "url": "https://www.ycombinator.com/launches/NYi-lumari-ai-digital-workers-for-supply-chain",
        "votes": 128,
        "created_at": "2025-05-20T18:06:51.257Z"
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    "id": 30598,
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Founded in 2023, GETASAP is a San Francisco–based technology and supply chain infrastructure company transforming fresh produce distribution and freight.\r\n\r\nGETASAP Fresh provides same-day delivery to thousands of restaurants and retail locations across the USA, sourcing directly from farms internationally and operating global cold-chain infrastructure. It also operates an AI-native freight carrier and brokerage, delivering reliable reefer LTL and FTL services powered by VoiceAI dispatch, optimized scheduling, and real-time operational intelligence.",
    "one_liner": "AI-Native Fresh Produce Logistics",
    "team_size": 30,
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        "user_id": 2775202,
        "full_name": "Raghav Arora",
        "title": "Founder/CEO",
        "founder_bio": "Started GETASAP at 14 - Building the Doordash(Dashmart) for B2B - we deliver inventory in 8 hours to retailers of any size using retail data & micro fulfillment centers.",
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        "user_id": 1869676,
        "full_name": "Pranavkrishna Suresh",
        "title": "Founder/CTO",
        "founder_bio": "19 y/o. CS @ Georgia Tech. Building the physical and technology infrastructure to power AI-Native Fresh Produce Logistics. Prev @ AWS & GovTech Founder. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/pranavkrishnasuresh/",
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        "title": "GTM Intern",
        "url": "https://www.ycombinator.com/companies/getasap/jobs/tCJkfEB-gtm-intern",
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      {
        "id": 93257,
        "title": "GETASAP ASIA: 8 Hour Distribution for Retailers in Southeast Asia 🏪",
        "tagline": "We’re the Amazon for B2B, supplying corner shops, restaurants, and supermarkets, ensuring shelves never go empty.",
        "body": "**Hey everyone** [👋](https://emojipedia.org/waving-hand)\n\nWe’re [Raghav](https://www.linkedin.com/in/raghav-arora-516b1826b/) (17 y/o) and [Krishna](https://www.linkedin.com/in/pranavkrishnasuresh/) (19 y/o), the co-founders of [GETASAP ASIA](https://bookface.ycombinator.com/company/30598).\n\n### **TL;DR**\n\n**We are a tech-enabled distributor for retailers in Southeast Asia.** We use software to offer the lowest prices and 8 hour same day delivery to corner stores, restaurants and supermarkets.\n\n**Today** **we supply** 40,000 outlets including 18 supermarket chains and hundreds of corner stores and restaurants. We stock 20,000+ SKUs from 270+ brands and operate several fulfillment centers across SEA.\n\n**Ask:**\n\nCan you intro us to CPG brands that could benefit from exposure to SEA market?\n\nCan you intro us to retail chains that we could supply to?\n\nCan you intro us to US retail tech executives?\n\nhttps://youtu.be/dPhL1k2n1Y8\n\n# **❌ The Problem**\n\nLegacy distributors _don’t believe in tech_.\n\n• Systems don’t talk to each other, so information is stuck in separate tools.\n\n• Lead times are long and freight isn’t optimized.\n\n• Forecasting is guesswork, which causes stockouts during peak season and costs stores significant revenue.\n\n• Labor costs are high, much of the work is manual, and prices are managed by hand, so margins shrink.\n\n# [**👷**](https://emojipedia.org/construction-worker)**The Solution**\n\nGETASAP ASIA is a tech-enabled distributor for retailers in Southeast Asia, operating a network of optimized fulfillment centers that restock stores in under 8 hours at the lowest landed price.\n\nOur enterprise-grade demand intelligence powers our 8-hour fulfillment model and enables real time stock tracking, automated reordering for stores, and forecasting that positions inventory close to demand—so orders move from purchase to shelf within hours and stockouts approach zero.",
        "url": "https://www.ycombinator.com/launches/OG9-getasap-asia-8-hour-distribution-for-retailers-in-southeast-asia",
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        "created_at": "2025-08-22T03:54:59.748Z"
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    "all_locations": "BY, Germany",
    "long_description": "We build AI agents that automate order processing for industrial distributors and manufacturers. Say goodbye to inside sales and customer service teams spending hours on manual data entry. Comena streamlines order and quote entry, from inbox to ERP, freeing up sales teams to focus on high-value activities and proactive selling.",
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    "year_founded": 2025,
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    "country": "DE",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
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        "user_id": 1188611,
        "full_name": "Jiehua Wu",
        "title": "Founder/CEO",
        "founder_bio": "Jiehua Wu is the co-founder and CEO of Comena.\n\nPreviously, he was the first sales hire at procurement startup askLio (YC S23), a product manager at Pina Earth (YC W22), and the youngest software engineer at Google in Switzerland.\n\nJiehua holds a B.Sc. in Computer Science and Business from Technical University of Munich.",
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      {
        "user_id": 1141707,
        "full_name": "Almo Sutedjo",
        "title": "Founder/CTO",
        "founder_bio": "Almo Sutedjo is the co-founder and CTO of Comena.\n\nPreviously, he was the first hire at Leaping AI (YC W25) and worked as a software engineer at Amazon AWS, HubSpot and Microsoft, where he integrated Azure Web Services into the OpenAI SDK.\n\nAlmo holds a B.Sc. in Computer Science from Technical University of Munich.",
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        "title": "Fullstack Engineer",
        "url": "https://www.ycombinator.com/companies/comena/jobs/awYQAOJ-fullstack-engineer",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
        "type": "Full-time",
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        "salary_range": "€80K - €150K EUR",
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        "title": "Software Engineering Intern",
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        "url": "https://www.ycombinator.com/companies/comena/jobs/zePtY2V-founding-gtm-associate",
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        "id": 92120,
        "title": "GTM Associate Intern",
        "url": "https://www.ycombinator.com/companies/comena/jobs/YbRQGGU-gtm-associate-intern",
        "location": "Munich, BY, DE / Munich, Bavaria, DE",
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      {
        "id": 92472,
        "title": "Comena — AI agents that automate order processing for distributors and manufacturers",
        "tagline": "Automated order entry - from inbox to ERP",
        "body": "👋 Hello!\n\nWe’re Jiehua and Almo, co-founders of **Comena**. We've been building things together since middle school and this time, we’re automating one of the most painful processes in B2B supply chains.\n\n---\n\n### 🧠 TL;DR\n\n\\*\\*Comena automates order entry from inbox to ERP for distributors and manufacturers.\\*\\*\\\nNo more manual data entry. No more wasted time. Our AI reads purchase orders from emails or PDFs, extracts key info, matches products to SKUs, and sends the order to your ERP — with (or even without) human-in-the-loop review.\\\n**Sales teams save 75-99% of time spent on order processing.**\n\n---\n\n### 😩 The Problem\n\nIn industrial supply chains (fasteners, parts, MRO, etc.), every order and inquiry is still typed manually into an ERP.\n\nHere’s how it looks today:\n\n1. A distributor or manufacturer receives a PO via email\n2. A sales rep opens a PDF attachment\n3. They manually type the content of the e-mail/PDF into the ERP\n4. Then it goes to fulfillment\n\nThis process is repeated **every single day** and eats up to **50% of inside sales teams’ time** — time that could be spent on proactive selling and customer relationships.\n\n---\n\n### ⚙️ Our Solution\n\nhttps://youtu.be/yoii7pgK1GY\n\nWe built an AI-powered order processing agent that automates this end-to-end:\n\n✅ Forward any PO or RFQ to Comena\\\n✅ Our AI extracts header data, product descriptions, quantities, pricing, etc.\\\n✅ Matches the items to your product number (even from messy free-text)\\\n✅ Sales rep quickly reviews the output\\\n✅ Sends it to the ERP with 1 click\n\nWe support PDFs, Excel sheets, RFQs, email bodies — and integrate seamlessly with ERPs. If your ERP supports EDI, even better: Comena plugs right in.\n\n---\n\n---\n\n### 👬 About Us\n\nWe’ve been friends for over 10 years — building robots together and winning awards at robotics world championships when we were younger.\n\n* **Jiehua (CEO)** was the youngest software engineer at Google Switzerland, a PM at Pina Earth (YC W22), and first hire at procurement startup askLio (YC S23).\n* **Almo (CTO)** was the first hire at Leaping AI (YC W25), and worked at Amazon AWS, HubSpot, and Microsoft, integrating OpenAI into Azure.\n\n---\n\n### 🙏 Our Ask\n\nIf you know anyone who fits the below, we’d **love an intro**:\\\n• Distributors or manufacturers processing lots of POs\\\n• Companies in industrial, MRO, or parts supply\\\n• Sales or ops leaders frustrated by manual order workflows\n\nOr just reach out if you’re curious — we’d love to show you the product.\n\n📧 [jiehua.wu@comena.ai](mailto:jiehua@comena.ai)\\\n💻 [https://www.comena.ai](https://comena.ai)\n\nLet’s automate manual order entry together!\\\n– Jiehua & Almo\n\n![uploaded image](/media/?type=post&id=92472&key=user_uploads/1188611/8acc3123-8a3a-4461-aec2-6a0acffeebf4)\n\n",
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        "created_at": "2025-07-28T15:29:49.123Z"
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    "id": 30731,
    "name": "Maximal",
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        "user_id": 535144,
        "full_name": "Leeds Rising",
        "title": "Founder/CEO",
        "founder_bio": "CEO and founder of Maximal (YC S25).\n\nCareer across logistics, fintech, devtools, massive-scale data platforms. Studied CS + Operations Research at Cornell, Columbia. Math, history of technology, philosophy of mind/ethics.\n\nGrew up in family's 3PL business, PM for Stuffstr (last-mile delivery in UK), optimized throughput as an engineer for Amazon's BOS3 DC under Kiva Robotics. Passionate about (kite-) surfing, squash, running, longevity.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/leedsrising",
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        "full_name": "Derek Ye",
        "title": "Founder/CTO",
        "founder_bio": "Building Palace. Previously tech lead at Amazon, founding eng at Arpeggi Labs (a16z), National Merit Scholar at USC.",
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    "name": "Rebulk",
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        "title": "Rebulk - Accurately measure and monitor bulk inventory",
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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![uploaded image](/media/?type=post&id=92243&key=user_uploads/506363/d97fecbc-12a6-4b7e-8828-2699d3a17af9)\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![uploaded image](/media/?type=post&id=92243&key=user_uploads/506363/6a28a0db-9489-4b8a-943f-7e096519535f)\n\n",
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    "long_description": "Fleetline is building the first complete-context algorithmic load planner for mid to large-sized trucking fleets. Today’s dispatchers face an overwhelming task: balancing regulations, customer demands, live fleet data, and individual driver needs, all while coordinating across siloed tools and teams. Mistakes run rampant, and each mistake is thousands of dollars. Even the select fleets using algorithms that have fleet-wide context struggle: the outputs are rigid, hard to interpret, and are blind to real-world nuances like driver preferences and schedule exceptions. Fleetline solves this by combining advanced optimization with LLMs that can easily adapt algorithms to each fleet’s needs and capture driver-specific information. The result is smarter planning truly optimized for every fleet and its drivers.",
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        "full_name": "Saurav Kumar",
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        "full_name": "Veer Juneja",
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        "title": "Fleetline 🚛 Optimizing Fleet Planning with Data Driven Algorithms",
        "tagline": "Combining LLMs with advanced optimization to unlock algorithmic load planning for all fleets, in all situations ",
        "body": "# TLDR:\n\nToday’s fleets are **stuck between two failing approaches to load planning**: human dispatchers drowning in complexity (driver preferences, regulatory constraints, shifting schedules, and more) or inflexible algorithms blind to tribal knowledge and driver nuance. We solve this by combining advanced optimization with LLMs that can adapt algorithms to deliver intelligent planning for real-world operations. \\\nhttps://youtu.be/9LHYILVw6ks\n\n# **💥 The problem:**\n\nPlanning just one week of routes for a 50-truck fleet involves **more possible combinations than there are grains of sand on Earth**. For humans, consistently piecing together reasonable combinations is difficult. Making optimal ones is impossible. Dispatchers juggle:\n\n* Regulatory constraints, like drivers’ hours of service\n* Complex forecasts, like considering the likelihood of receiving a load from a flaky customer\n* And human preferences, like a driver’s disdain for a specific commodity\n\nThis complexity forces fleets to effectively **silo their operations**—assigning each dispatcher a subset of trucks to manage. **Instead of coordinating as a cohesive operation, fleets become mini-operations, resulting in load mismatches and under-utilized capacity.** For a low-margin industry like trucking, those inefficiencies are the difference between making or missing payroll. \n\nIn response, some fleets have adopted expensive load planning algorithms. While these traditional solutions are a marginal improvement over manual work, they fail to meaningfully solve the problem. \n\nRigid algorithms operate like complete black boxes, often leaving dispatchers with a lack of confidence in their decisions. Deterministic algorithms cannot be responsive to the soft preferences of either the fleet or the driver. For example, dispatchers may have to reshuffle their planning board because an algorithm cannot optimize for a driver needing to be home early one day for his daughter’s recital. \n\nThat means the algorithm's recommendations are largely not followed or, if they are, drivers are left unhappy. With an active driver shortage, fleets can’t tolerate the latter. \n\nTrucking is a trillion-dollar industry, yet its biggest players have no good option for load planning. \n\n# **✅ The solution:**\n\n**Fleets no longer have to choose between two existentially threatening options with Fleetline.** By combining traditional advanced optimizations with LLMs, we created a solution that allows fleets to optimize their schedules while being adaptive to soft preferences and surprises. All users need to do is prompt our AI agent with any changes / added constraints to include in the optimization algorithm, and the load planning is re-done. \n\nFor example, if a driver at a fleet needs to make it back home by 2 PM on a given Tuesday to see his daughter’s recital, instead of manually scrambling the planning board, our AI agent can re-optimize around the new constraint. \n\nWe’re already working with large fleets in California and talking to others across the country.\n\n# **🏋️‍♂️ The team:**\n\nSaurav and Veer are lifelong friends who have been working on projects together since they were 14. Saurav graduated from UIUC and has worked at Icon, Meta, and Nvidia, and is a previous founder (Blast AI). Veer was pursuing his master’s at USC, was a nationally ranked high school and college debater, and is an exited founder. \n\nWe’re excited about building revolutionary tech for a trillion-dollar industry that is functionally the backbone of the country. \n\n# **📈 Vision:**\n\nA dynamic algorithm unlocked by LLMs will allow fleets of any size to find value in our optimization software. \n\n### **Our ask:**\n\nPlease let us know if you have any connections at all in the trucking or logistics space 🙂\\\nWould also love to talk to anyone who has built RL environments or dynamic programming algorithms at scale!\n\n\\\nContact us at [founders@fleetline.ai](mailto:founder@fleetline.ai) ",
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    "long_description": "Food Supply Chain companies have been using legacy ERPs for decades. Everyone knows these are necessary evils that essentially run the business but take up a lot of operational capacity. They are not about to just rip and replace their existing system that runs their whole business with a system that takes years to implement. Imagine if they could implement AI that runs the ERP for them, in weeks?\r\n\r\nBurnt’s building an agentic OS for the Food Supply Chain with AI Agents for each department. \r\n\r\nOur AI Agent, Ozai, has started by replacing the whole order management job function at food distribution companies, so that sales and customer service teams can focus on what matters - the customer. Ozai monitors all incoming messages (emails, phone calls, voicemails, whatsapp, fax etc.), figures out if it's an order, learns each customer's habits, shorthand, and favorite products, picks up on any prep notes, and enters it straight into the existing ERP. It'll even go back to the customers on your behalf when it's not sure about something, clarify things and carry on working. \r\n\r\nThe more it sees, the smarter it gets. \r\n",
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        "title": "Burnt - Agentic OS for Food Supply Chain",
        "tagline": "We’re building AI agents that automate order entry for food distributors",
        "body": "# **TL;DR**\n\nLegacy ERPs may run the business for food distributors, but they come at a steep cost - manual order entry alone can consume 10-50 people’s time that should be spent on sales and customer service. Ripping these systems out would take **years**, cost **millions**, and probably spark a small mutiny. Meanwhile, flashy e-commerce storefronts have flopped harder than day-old soufflé.\n\nBurnt deploys AI Agents directly inside these ERPs, starting with a Sales AI Agent that completely replaces the order management job function.\n\nWe’re working with large distributors across meat, seafood, and specialty ingredients - 97% of their orders now run end-to-end without people & 90% of order-entry staff shifted into sales.\n\nWe’re building supply chain superintelligence so that independent food distributors can compete with the US Foods and Sysco. \n\n\\____________________\\_\n\n# **The Problem**\n\nFood distributors that supply restaurants rely on decades-old legacy ERPs - critical to operations but slow, inflexible, and dependent on armies of people to run.\n\nPast attempts to automate these workflows have failed:\n\n* **RPA** works only for structured PDFs, not for the messy reality of food orders coming via emails, calls, texts, WhatsApp, and fax.\n* **E-commerce storefronts** have low adoption, 12-24 month implementation cycles and come at a high cost - both financially and emotionally - for distributors, while still failing to address the nuances of the industry.\n\nThis leaves distributors buried in manual work. Customer service teams are the perfect example of this issue -  they spend most of their time re-typing orders instead of building relationships.\n\n\\____________________\\_\n\n# **Our Solution**\n\nhttps://youtu.be/hRgpT2I1XAk\n\nBurnt’s AI Agents operate inside existing ERPs - no rip-and-replace required.\n\nOur first agent, **Ozai**, monitors all incoming sales channels (email, text, voicemail, WhatsApp, fax – **even phone calls**), learns each customer’s shorthand, habits, and favorite products, interprets prep notes, and enters the order directly into the ERP.\n\nIf something’s unclear, Ozai asks the customer for clarification and continues processing without breaking the workflow. The more it sees, the smarter it gets. \n\nWe’re live with some of the most respected independent distributors in the business, who’ve used our AI to double down on customer relationships instead of data entry - all in just a matter of weeks.\n\n\\_______________\\_\n\n# **Vision**\n\nWe’re not just automating order entry anymore - our customers are turning to Burnt, eager for us to take on tasks like automated credit control & procurement.\n\nOur mission? We’re building towards a plug-and-play OS that predicts and executes business decisions before humans need to act.\n\n\\_______________\\_\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=92977&key=user_uploads/651960/b94f25ba-340d-4a63-bca3-4c32b129f264)\n\n* **JJ (Joseph Jacob), CEO** -  worked in every part of the food supply chain from farm to table; has bought over 400M lbs of shrimp in his career. Comes from a family with 85 years in the seafood industry.\n* **Rhea, CPO** -  grew up around restaurants, with a design eye that ensures our AI feels invisible yet impactful.\n* **Chandru, CTO** -  built a custom ERP for his dad’s factory as a teenager; obsessed with tech that solves messy, real-world operations.\n\nWe’ve been right there in the thick of it - on factory floors, in seafood markets, and out in the warehouses.",
        "url": "https://www.ycombinator.com/launches/OBd-burnt-agentic-os-for-food-supply-chain",
        "votes": 15,
        "created_at": "2025-08-14T01:00:27.362Z"
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    "id": 30865,
    "name": "Lunavo",
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    "website": "https://lunavo.ai",
    "all_locations": "BY, Germany",
    "long_description": "We build AI that runs carrier operations.\r\n\r\nLunavo is the AI assistant for carriers. It plugs directly into their existing toolstack, understands their processes, and monitors all incoming data and requests. Lunavo runs end-to-end backoffice operations, handling repetitive tasks, resolving issues autonomously, and escalating only what matters.\r\n\r\nLunavo helps carriers scale operations without scaling headcount.",
    "one_liner": "Lunavo is the AI assistant for carriers.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1762148896,
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      "Transportation",
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    "nonprofit": false,
    "batch": "Fall 2025",
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      "Europe"
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    "city": null,
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/lunavo-ai",
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      "name": "David Lieb",
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        "user_id": 2673176,
        "full_name": "Felix Lösch",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Lunavo | Building AI that runs carrier operations\n\nEx-McKinsey and former Managing Director at a Series A robotics logistics startup, where he scaled commercial and operations functions.",
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        "user_id": 2331002,
        "full_name": "Niclas Heun",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO @ Lunavo | Building AI that runs carrier operations.\n\nHe studied CS at the Technical University of Munich and the University of Waterloo, graduating top of his class. He previously worked as an AI researcher on model robustness and led teams developing AI for shop-floor operations for Siemens.",
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      {
        "id": 95229,
        "title": "Lunavo - The AI assistant for trucking carrier operations",
        "tagline": "AI that runs your backoffice - so your team can run logistics.",
        "body": "Hi everyone, we’re Niclas and Felix, and we’re launching Lunavo!\n\n**TLDR:**\n\nLunavo is the AI assistant that automates the backoffice of trucking carriers so teams can focus on customers and growth.\n\n_Launch Video:_\n\nhttps://youtu.be/fKWHgdt8hv0 \n\n**The problem:**\n\nTrucking carriers coordinate complex operations to transport goods from A to B , but they spend most of their time on repetitive admin work like entering orders, updating portals, and checking systems. Most communication is still handled manually.\n\nThis creates two problems. First, teams waste hours on busywork instead of managing operations. Second, the noise makes it nearly impossible to spot issues that need attention until it's too late. A delayed pickup, missing document, or customer escalation only gets noticed when it's already urgent.\n\nThe real complexity isn't in data entry. It's in catching and resolving issues early: rerouting around delays, finding backup capacity, flagging exceptions before they cascade. Carriers need visibility and time to handle what matters, not endless manual updates.\n\nWe sat with dispatchers managing hundreds of shipments a day and saw their inbox and phone effectively act as their task managers.\n\n·   Many handle between 50 and 100 emails per hour, and most of them are repetitive.\n\n·   Teams constantly pull data from emails, PDFs, and portals into their Transport Management System (TMS).\n\n·   They often jump between ten or more tools that don't communicate properly with each other.\n\nCompanies end up paying skilled employees to move data between tools instead of running logistics\n\n**Our solution:**\n\nLunavo integrates into a carrier's existing systems as an AI teammate. When a new order arrives, it automatically extracts details, updates the TMS, and confirms with the customer. Dispatchers see: \"New order from Customer X confirmed and scheduled.\"\n\n**The system handles routine work while monitoring for exceptions** like delayed pickups, missing documents, or customer escalations, surfacing issues before they become urgent. It understands task dependencies and escalates only what needs human judgment.\n\nBecause logistics workflows often depend on implicit knowledge, our system can understand customer workflows and adapt to it. Our agents self-improve through dispatcher feedback, company documentation, and user-defined rules, automatically adapting to each customer's unique requirements without manual reconfiguration.\n\nLunavo manages to understand incoming documents, extract relevant information, challenges the inputs on plausibility and integrates them into the TMS. In case of anomalies, the system loops in the dispatcher:\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/607a54fb-83cd-423d-8c36-312523817e4b)\n\n**_Before Lunavo_**_:_ A driver is delayed. The dispatcher has to (1) log into the GPS portal, (2) inform the customer with an update, (3) manually update the TMS, and (4) update the customer's portal for delivery time. This takes up to 15 minutes of work.\n\n**_With Lunavo:_** Lunavo detects the truck's GPS delay. It _automatically_ emails the customer, updates their portal, and sends a single notification to the dispatcher to keep him in the loop: \"Driver 5 is delayed 30m. Customer X has been notified. No action needed.\"\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/bdb58f1b-2c10-4e29-b485-d64718f81c6f)\n\nLunavo helps trucking companies scale operations without scaling headcount.\n\n**About us:**\n\n![uploaded image](/media/?type=post&id=95229&key=user_uploads/2331002/531e2a61-c332-4ee9-ae0a-520a28e47341)\n\nWe're Felix and Niclas, founders of Lunavo. Together, we've spent the past years at the intersection of logistics and AI.\n\n·   **Felix** worked with logistics and supply chain companies at McKinsey and later built a robotics logistics company in Germany, spending five years deeply embedded in the industry.\n\n·   **Niclas** studied Computer Science at the Technical University of Munich and the University of Waterloo, focusing on AI security and applied machine learning\n\n**Our ask:**\n\nIf you work in logistics or know someone running operations in road transportation, we would love to connect.\n\nYou can reach us at felix.loesch@lunavo.ai or visit [www.lunavo.ai](http://www.lunavo.ai).",
        "url": "https://www.ycombinator.com/launches/Olx-lunavo-the-ai-assistant-for-trucking-carrier-operations",
        "votes": 23,
        "created_at": "2025-11-05T22:21:16.901Z"
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    "id": 31030,
    "name": "Haladir",
    "slug": "haladir",
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    "website": "https://www.haladir.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Haladir builds advanced AI systems for logistics. We sit on top of your WMS, TMS and ERP, turning their data into decisions across supply chain planning and execution: solver-grade optimization that decides what should happen, and AI agents that run the workflows. Today's AI brought intelligence. The next frontier is judgement.",
    "one_liner": "Operational Intelligence for Global Logistics",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1766374394,
    "tags": [
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      "Supply Chain",
      "Operations",
      "AI"
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    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/haladir",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/haladir.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/haladir/",
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    "primary_partner": {
      "name": "Diana Hu",
      "url": "https://www.ycombinator.com/people/diana-hu"
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      {
        "user_id": 2487577,
        "full_name": "Jibran Hutchins",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO @ Haladir | Carnegie Mellon University",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jibran-hutchins-42500b26b/",
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        "user_id": 2695652,
        "full_name": "Quan Huynh",
        "title": "Founder/CIO",
        "founder_bio": "Cofounder @Haladir",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/quanmhuynh/",
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      {
        "user_id": 2711900,
        "full_name": "Joseph Tso",
        "title": "Founder/COO",
        "founder_bio": "Co-founder @ Haladir | CS @ Princeton",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josephtso",
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      {
        "id": 98580,
        "title": "Haladir: Building Operational Superintelligence",
        "tagline": "Combining formal solvers with LLMs to make AI reliable for high-stakes operational decisions",
        "body": "**TL;DR:** Haladir is an AI product lab that combines formal solvers with LLMs to make AI reliable for constrained systems. We turn unreliable model outputs into **verifiable, optimal decisions** for industries like **logistics, critical software, and manufacturing**. We are working with one of the leading AI labs to bring our technology to post-training.\n\n**Launch Video: [https://www.youtube.com/watch?v=caPPFAmL8Iw](https://www.youtube.com/watch?v=caPPFAmL8Iw)**\n\n**The Problem**\n\nOperationally-complex companies (logistics, supply chain, etc.) need to make thousands of decisions a day under tight, real-world constraints. Even when given ample context, we observe that the top models often fail to understand these constraints when placed in difficult scenarios, providing suboptimal or confidently incorrect responses. Though they excel at individual tasks like coding and data analysis, optimizing across systems with millions of interdependent variables under hard constraints remains beyond what current models can do on their own.\n\n**The Solution**\n\nHaladir combines formal solvers with LLMs to give models a fundamental understanding of constraints rather than just semantic context. For logistics and supply chain companies, this means routing, scheduling, and resource allocation that AI can reason through rather than guess at.\n\nWe build at both the model training layer and the application layer. On the training side, we build solver-based RL environments and data pipelines for frontier labs. On the application side, we build model harnesses that allow deployed agents to operate within constrained, sensitive workflows and make optimal decisions. Decades of development in solvers like Gurobi and SAT/SMT have produced incredibly powerful technologies, but there's a growing gap between these tools and how AI is deployed today. We're here to close that gap.\n\nRead our research: [haladir.com/research](http://haladir.com/research)\n\n**The Team**\n\nIn high school, we published and were cited in IEEE and Elsevier Q1 journals for operations research and machine learning. We left Carnegie Mellon, Princeton, and UVA to build Haladir.\n\n**Our Ask**\n\nWe'd love to talk with you if:\n\n* You work at a logistics, supply chain, or manufacturing company where AI isn't yet delivering on real decision-making\n* You work at or with frontier AI labs interested in solver-based training environments\n* You know talented people in operations research, formal methods, or applied ML\n\n👉 Contact us at [founders@haladir.com](mailto:founders@haladir.com)\n\n💼 Follow us on LinkedIn: www.linkedin.com/company/haladir\n\n📱 Follow us on X: x.com/Haladirofficial",
        "url": "https://www.ycombinator.com/launches/Pe0-haladir-building-operational-superintelligence",
        "votes": 21,
        "created_at": "2026-03-08T21:01:35.301Z"
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    "id": 31112,
    "name": "Burt",
    "slug": "burt",
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    "website": "https://www.burthq.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building for the people that keep the world moving. \r\n\r\nFreight brokers and forwarders operate on razor-thin margins in a relationship-driven business — yet most of their teams spend the majority of their day on manual, repetitive work.\r\n\r\nWe help freight brokers and forwarders build AI teammates that handle their repetitive, manual tasks so teams have time to focus on customers, carriers, and growing the business.",
    "one_liner": "AI teammates for logistics",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1766971540,
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    "nonprofit": false,
    "batch": "Winter 2026",
    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
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    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/train-burt",
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    "primary_partner": {
      "name": "Ankit Gupta",
      "url": "https://www.ycombinator.com/people/ankit-gupta"
    },
    "founders": [
      {
        "user_id": 1212113,
        "full_name": "Bobby Zhong",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Burt\n\nStudied CS at UCI before dropping to join Pirros (YC W23) as their 2nd engineer. Then joined Replo (YC S21) to build coding agents and wrangle LLMs.\n\nGrew up in a logistics family and now trying to help in the space.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/bobby-zhong",
        "x_url": "https://x.com/bobbyzhong333",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5444a7b9e9b1785517fc66d0591b1f1397e3f0a9.jpg"
      },
      {
        "user_id": 1342955,
        "full_name": "Kurt Sharma",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder & CTO at Burt\n\nStudied EECS at UC Berkeley. Previously @ Replo (YC S21) building high-throughput data pipelines and sandboxed code manipulation systems.\n\nNow building AI teammates in logistics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kartavya-sharma",
        "x_url": "https://x.com/zerodaykurt",
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    ],
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      {
        "id": 98462,
        "title": "Burt - AI Teammates for Logistics",
        "tagline": "Agents that handle the manual, repetitive workflows for logistics teams end-to-end",
        "body": "We're [Bobby](https://www.linkedin.com/in/bobby-zhong/) and [Kurt](https://www.linkedin.com/in/kartavya-sharma/), co-founders of Burt (W26).\n\n[https://www.youtube.com/watch?v=Jj7XKdMwE1Q ](https://youtu.be/Jj7XKdMwE1Q)\n\n## **TL;DR**\n\nWe help freight brokers and forwarders build AI teammates that handle their repetitive, manual tasks so teams have time to focus on customers, carriers, and growing the business.\n\nWhether it’s tracking loads or chasing and processing documents, teams can build AI coworkers that follow their specific processes and work on top of their existing systems.\n\n## **The Problem**\n\nFreight brokers and forwarders operate on razor-thin margins in a relationship-driven business — yet most of their teams spend the majority of their day on manual, repetitive work.\n\nProblems like\n\n* **Shipment tracking and check calls**\n* **Document processing and data entry**\n* **Chasing PODs and rate cons**\n* **Finding and booking carriers**\n* **Invoice auditing and billing reconciliation**\n* **Quoting and building loads**\n\nAs volume grows, so does the headcount required to manage it. Teams burn out, service suffers, and growth stalls.\n\n## **Our Solution**\n\nWe help freight brokers and forwarders build AI teammates that handle their most repetitive workflows end-to-end — check calls, document processing, covering loads, invoicing, and more — pulling in the right person only when they're actually needed.\n\nOur AI teammates work the way a human operator would: reading emails, making calls, logging into portals, and updating their TMS — following their specific processes and living on top of their existing systems\n\nTeams can take on more business without burning people out, cut down on costly mistakes, and get their best operators back on the relationships that actually drive growth.\n\n![uploaded image](/media/?type=post&id=98462&key=user_uploads/1212113/fc18a40d-718d-4b27-960f-f7ec2e97623e)\n\n## **About Us**\n\nWe both grew up in logistics families so we know how hard the people in the industry have to work and we genuinely want to be able to make an impact on the space. Bobby spent weekends at his dad's 3PL warehouse and Kurt grew up watching his uncle sell on Amazon FBA — where half the stress was always coordinating shipments and chasing freight.\n\nWe know how hard freight is and there’s no one else we’d rather build for than the people in it.\n\n## **Our Ask**\n\nWe’d really appreciate any intros to anyone in the logistics space. Primarily freight brokers, forwarders, and carriers but we’re relatively new to the space so talking to anyone in the industry would be helpful!\n\nFeel free to reach out to us at [bobby@trainburt.com](mailto:bobby@trainburt.com) or find a time to chat [here](https://cal.com/bobby-zhong/30min)",
        "url": "https://www.ycombinator.com/launches/Pc6-burt-ai-teammates-for-logistics",
        "votes": 12,
        "created_at": "2026-03-04T22:42:49.123Z"
      },
      {
        "id": 97329,
        "title": "Burt - Train and Deploy Specialized Models",
        "tagline": "Build models that outperform general, closed source alternatives at a fraction of the cost and latency",
        "body": "We're [Bobby](https://www.linkedin.com/in/bobby-zhong/) and [Kurt](https://www.linkedin.com/in/kartavya-sharma/), co-founders of Burt (W26).\n\n## TL;DR\n\nWe help teams train and deploy specialized models that outperform general, closed source alternatives while being **10x faster and cheaper**. \n\nIf you’re building AI agents and you have LLM calls that are either too slow, too expensive, or just not good enough, let’s talk!\n\n<https://youtu.be/QFXP32moQy4>\n\n## The Problem\n\nAs good as general, closed source models are, they just aren’t built for your use case. \n\n* The fastest models are unreliable or still not fast enough\n* Your API costs are spiraling out of control \n* Your agent’s just not producing high quality or reliable enough outputs. \n* You have no control over a core piece of your product, leaving you with random regressions, service disruptions, and annoying rate limits\n\n## Our Solution\n\nWe help teams train and deploy custom models built specifically for their domain and use case. \n\nWe help with every step of the process, from data prep and evals to training and deployment. \n\nUsing the latest post-training and inference stack we’ve built in house, we deliver models that outperform SOTA while being a fraction of the cost and latency.\n\n## Case Study\n\nFor one of our customers (more details coming soon!), they had a model call that saw extremely high volume and had issues with it being too slow **even with gemini-3-flash.** \n\nTo solve that, we built a small vision language model (VLM) that’s **\\~3x faster** (p50) while being **MORE accurate** than gemini-3-flash/pro.\n\nNow we’re continuing to improve that model and closing that last 10%\n\n![uploaded image](/media/?type=post&id=97329&key=user_uploads/1212113/030f2ca2-2274-45e8-84b2-7a88b0779104)\n\n![uploaded image](/media/?type=post&id=97329&key=user_uploads/1212113/1a7e0a22-91e5-4116-977e-edcaf27470a4)\n\n## Ready to Specialize?\n\nIf you’re building AI agents and either of the following apply, we’d love to help:\n\n* You have **high volume, repetitive LLM calls** that you want to significantly reduce cost and latency for\n* The agents you’re building just aren’t achieving the quality or reliability you need\n\nBook a chat [here](https://cal.com/bobby-zhong/30min) or email us at [bobby@trainburt.com](mailto:bobby@trainburt.com)",
        "url": "https://www.ycombinator.com/launches/PJp-burt-train-and-deploy-specialized-models",
        "votes": 17,
        "created_at": "2026-02-02T02:11:07.791Z"
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        "full_name": "Adeep Mitra",
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        "user_id": 2763766,
        "full_name": "Corey Berther",
        "title": "Founder/CTO",
        "founder_bio": "Was sent to coding camps at 12 years old, ran an electronics business by 16 and a tech house by 18. \n\nDropped out of a rocket science degree, to reinvent forward deploying. ",
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        "title": "The Brisbane start-up tackling the “tech tax” on food | FaBA",
        "url": "https://faba.au/news/the-brisbane-start-up-tackling-the-tech-tax-on-food/",
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      {
        "title": "Supply chain solutions startup Pollinate joins Y Combinator",
        "url": "https://www.businessnewsaustralia.com/articles/brisbane-startup-pollinate-joins-y-combinator.html",
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        "id": 97523,
        "title": "🦋 Pollinate – Agents that automate data entry into your ERP built in days not quarters.",
        "tagline": "We automate supply chain operations by building custom tools from your existing ERP. Deployed in days instead of quarters.",
        "body": "\n**❌ Problem: Supply chain teams waste 40% of their time on manual work that their ERP should handle.**\n\nOff-the-shelf tools force you to change your workflows. Custom development takes 6-12 months. So your operations team ends up running critical processes in spreadsheets - invoice reconciliation, vendor management, just-in-time production scheduling.\n\n**✅ Solution: Pollinate builds the exact tools you need, automatically.**\n\nOur platform connects to your ERP and enriches the data. We then leverage this data to generate custom applications and agents that are bespoke to your workflows. What used to take quarters of dev time now deploys in days.\n\n**How it works:**\n\n1. Connect your existing ERP & data sources.\n2. We automatically map your data structure and identify operational patterns\n3. We ship custom tools for invoice processing, production scheduling, vendor management\n4. Your team works in tools built for _your_ processes, not generic ones\n\nWe're already processing $100k+ in purchasing volume through automated workflows our customers couldn't build themselves.\n\nOur customers use our agents to automate:\n\n1. Order processing from email, text or phone straight into their ERP systems. \n2. Three way invoice reconciliation for suppliers who need to match purchase orders and receipts to thousands of vendor invoices.\n3. Just in time production for hardware teams managing assembly of their product.\n\n![uploaded image](/media/?type=post&id=97523&key=user_uploads/2733270/7dfc551c-169f-4457-b199-3cdeb020549d)\n\n**Why now?** We’ve built point solutions for our customers and saw first hand that supply chains are infinitely unique and always break at scale. As code becomes a commodity we see an opportunity to finally bridge the gap between software and supply chain operations.\n\n**Ask**:\n\nSick of working supply chain operations in spreadsheets? We'd love to show you a demo\n\nKnow hardware companies scaling their supply chains? Intro us at \\[[adeep@pollinate.tech](mailto:adeep@pollinate.tech)\\]\n\n![uploaded image](/media/?type=post&id=97523&key=user_uploads/2733270/0e97a9bd-7877-479a-8a5a-29a210ffa63a)\n\n",
        "url": "https://www.ycombinator.com/launches/PMx-pollinate-agents-that-automate-data-entry-into-your-erp-built-in-days-not-quarters",
        "votes": 30,
        "created_at": "2026-02-05T08:47:19.793Z"
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    "name": "Hexa",
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    "long_description": "Hexa helps industrial distributors automate their sales and procurement workflows to quote faster and win more bids. ",
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        "user_id": 2767100,
        "full_name": "Ishaan Makkar",
        "title": "Founder/CEO",
        "founder_bio": "Founder/CEO at Hexa (YC P26), building vertical AI agents for manufacturers and distributors. Previously founded a B2B ed-tech startup that scaled to 70+ partners and 5,000+ users. Physics @ Imperial. Competed at the national level in UK distance running.",
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        "full_name": "Mann Patira",
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        "id": 102525,
        "title": "Hexa: Autonomous operations for industrial distributors",
        "tagline": "We automate sourcing and quoting. Distributors sell more at higher margins.",
        "body": "Hey everyone, we’re [Ishaan](https://www.linkedin.com/in/ishaan-makkar/), [Auri](https://www.linkedin.com/in/aurideep/) and [Mann](https://www.linkedin.com/in/mannpatira/) - cofounders of [Hexa](https://www.hexaagents.com) 👋\n\n\\\n**TLDR**\n\nHexa automates sales and procurement for industrial distributors and manufacturers, helping them source parts cheaper and quote faster to grow revenue by over 10%.\n\n<https://www.youtube.com/watch?v=_8Knlrk4zwc>\n\n**The Problem**\n\nMid-market distributors and high-volume manufacturers run everything through legacy ERPs, and those systems still depend on humans to key in every quote, order, and invoice.\n\nSales reps spend their days reading RFQs from email, PDF, Excel, and fax, then retyping them into the ERP instead of talking to customers.\n\nQuoting takes hours, which means distributors respond slowly and lose 15%+ of revenue each year.\n\nThe people who actually know how to run these systems are retiring. Over half the workforce will leave this decade, and the knowledge in their heads walks out with them.\n\nYou cannot grow faster than you can hire. Service slows and relationships suffer.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=102525&key=user_uploads/2767100/da1b1daf-476d-42f0-a878-007c6012dc36)\n\nHexa plugs into the systems you already use and brings AI agents natively inside the ERP. No rip-and-replace, live in days.\n\nHexa watches every channel a request comes in on and runs the full workflow:\n\n* Quoting: Reads the RFQ, matches the right SKU and pricing, and drafts the quote so it is ready to send.\n* Order Entry: Matches the incoming PO to the quote, creates the sales order, and writes it into the ERP.\n* Procurement &amp; Finance: Sources out-of-stock items at the best cost, then reconciles AP/AR and catches discrepancies humans miss.\n\nReps review and approve instead of hours of admin. Response times go from hours to minutes, win rates increase.\n\n**The Team**\n\n![uploaded image](/media/?type=post&id=102525&key=user_uploads/2767100/2907d734-5902-4a91-95f7-9cea885197f0)\n\nIshaan (CEO) - Grew up around manufacturing; his family runs one of India’s largest paper producers. He scaled a previous B2B startup to 5,000+ users, then worked at a manufacturer building the exact automations Hexa sells today.\n\nMann (CTO) - Studied Computer Science at Imperial. Worked at Bloomberg as an ML engineer building graph neural networks for financial derivatives, and at Autodesk building software for manufacturers.\n\nAuri (COO) – Worked in the Private Equity team at KKR where he covered distributors, the exact buyers Hexa sells to. Prior to this worked in the technology investing team at Apax. Former U14 England chess player.\n\nWe’ve known each other for over a decade, from the same school and town, and now live together.\n\n**Our ask:**\n\nIf you know an owner of an industrial distributor or a VP of Sales or Operations, please reach out. We have a 15% referral bonus!\n\n<https://www.hexaagents.com/referral>",
        "url": "https://www.ycombinator.com/launches/Qfd-hexa-autonomous-operations-for-industrial-distributors",
        "votes": 7,
        "created_at": "2026-06-03T20:08:30.161Z"
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    "name": "Dayjob",
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    "website": "https://www.getdayjob.ai",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Dayjob does AI Scheduling for Short Haul Trucks. Our scheduling agent plugs into existing ERPs and continuously re-optimises routes in real time - handling new jobs, driver changes, and exceptions automatically. Customers in waste management see 8%+ efficiency gains from day one.",
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    "team_size": 5,
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    "launched_at": 1775407410,
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        "answer": "Fred and I met at Oxford 13 years ago. We've lived in five houses together and were ushers at each other's weddings. In 2022, we started building software for the waste industry after seeing how poorly existing ERPs served day-to-day operations. We spent mornings at customer depots from 6AM, watching transport planners manually drag and drop jobs into routes. Plans took over an hour to build and were often obsolete within another hour. Our top customers told us they literally cannot train planners fast enough to keep up. The cognitive load burns most planners out within 18 months. We realised the problem wasn't missing features. It was that humans were being asked to do work they physically cannot do reliably. In January 2025, we pivoted to Dayjob: autonomous AI workers that plan and execute operational decisions in real time."
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        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "We started in October 2022, building ERP and inventory software for the waste industry, generating $150K in revenue. Two hard lessons emerged: large operators wouldn't migrate ERPs regardless of product quality, and better UI didn't solve the real problem of manual decision-making at scale. In January 2025, we pivoted to Dayjob, integrating with existing ERPs instead of replacing them and deploying AI workers that perform operational work directly. We started selling the product in August 2025. ARR has grown to $653K in seven months, with top customers achieving 8%+ efficiency gains from day one."
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Short haul trucking relies on humans continuously re-optimising thousands of constraints in real time: vehicle capacity, weight limits, site access windows, driver hours, and regulatory rules, all while responding to hundreds of live job changes. A single day's route plan takes 8 hours to build and is typically obsolete within an hour. Our top customers say they cannot train planners fast enough. Most burn out within 18 months. The problem is getting worse: experienced drivers who historically moved into planning roles are being replaced by office hires with no operational intuition, increasing errors and churn. ERP systems were built to digitise paperwork, not to make autonomous decisions. Operators are dependent on a role they can no longer hire or retain."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "If Dayjob succeeds, short haul trucking companies will have to use us to be profitable. We will control the pricing that they charge by having the best models for pricing, booking and scheduling in the market. You simply will not be able to be competitive without Dayjob."
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      "name": "Tom Blomfield",
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        "user_id": 923810,
        "full_name": "George Postlethwaite",
        "title": "Founder/CEO",
        "founder_bio": "Building Dayjob - autonomous AI agents that run transport operations in real time. Before this, I built Gaea, an ERP for e-waste recyclers. I was an early employee at Deliveroo (acq. Doordash 2025) and launched their UK grocery business, and previously led sales at Otta (LocalGlobe-backed job search platform).",
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        "user_id": 1027598,
        "full_name": "Fred Fooks",
        "title": "Founder/CTO",
        "founder_bio": "Building Dayjob - autonomous AI agents that run transport operations in real time. Previously built Gaea, an ERP for e-waste recyclers, from scratch. Engineering Science at Oxford. Background in AI and Data Science at Deloitte and Capgemini.",
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      {
        "title": "VWS Partners with AI Scheduling Tool Dayjob | VWS Software Solutions",
        "url": "https://www.vwssoftware.com/vws-partners-with-ai-scheduling-tool-dayjob/",
        "date": "Jan 30, 2026"
      },
      {
        "title": "How Coastal Recycling is using AI to transform operations - Coastal",
        "url": "https://coastaluk.co.uk/blog/using-ai-to-transform-operations/",
        "date": "Jan 27, 2026"
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      {
        "id": 100132,
        "title": "Dayjob: AI Agents for Industrial Logistics",
        "tagline": "Meet Dayjob, AI Scheduling for Waste Trucks",
        "body": "_Hey 👋 We're George and Fred, founders of Dayjob!_ \n\n**What we solved in the UK and are now solving in the US** \\\n\\\nIndustrial logistics plans are still built manually, every single morning. A transport planner sits down at 7am, spends 60 to 90 minutes dragging jobs onto trucks, and the plan is usually wrong by 10am. \n\nOur customers tell us they literally cannot hire and train planners fast enough. It’s a nightmare when one of those planners is off sick or has to go away on vacation. \n\nHumans are being asked to continuously re-optimise hundreds of constraints: vehicle capacity, weight limits, time windows, driver hours, live traffic, all in real time. It's cognitively impossible to do reliably.\n\nIf a fleet can complete just 10 more jobs a day, that's worth millions per year. The opportunity cost of bad scheduling is enormous and almost nobody in this industry has solved it.\n\n<https://youtu.be/GI2HtwWodpc?si=4GbPN1Uj-UnNkDoh>\n\n**What we've built:** Dayjob sits on top of existing ERP software. Our scheduling agent builds a full fleet schedule in about 60 seconds. The same task currently takes a human planner most of the morning.\n\nWe're live with fleets in the UK today, and currently launching in the US.\n\n**Early results:**\n\n* 5 to 10% improvement in fleet efficiency from day one\n* 50% improvement in hitting customer time slots\n* One customer saw an £800K revenue uplift in their first year\n\nWe started in waste management deliberately. It's one of the hardest planning environments in existence: high variability, tight regulatory rules, constant real-time changes. If you can solve scheduling there, you can solve it anywhere in industrial logistics.\n\n**The backstory:** Fred and I met at Oxford 13 years ago. In 2022 we started building ERP software for waste operators. We spent early mornings in depots watching planners work, rode in trucks, sat next to schedulers as they built their routes. \n\nWe pivoted to Dayjob in January 2025. We're now at $496K ARR, growing fast, and scheduling is just our first agent. We have three more covering the full operational workflow launching later this year.\n\n![uploaded image](/media/?type=post&id=100132&key=user_uploads/923810/fc61cfea-692b-4948-a438-9f85635324e2)\n\n**We'd love to connect with:** Anyone in the waste-hauling market or the broader industrial logistics market.\n\nLet’s go 🚛",
        "url": "https://www.ycombinator.com/launches/Q32-dayjob-ai-agents-for-industrial-logistics",
        "votes": 65,
        "created_at": "2026-04-23T13:55:19.813Z"
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    "id": 31403,
    "name": "transload",
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        "body": "Everything gets cheaper by the container. Big companies buy the box. Small businesses buy from the people who bought the box.\n\nDonkey turns the container into a cart. Upload your buying list and see every landed price instantly, tariffs and delivery included. Our engine packs the order, and when the load needs a bigger box, a second container steps in. When you sign, the price holds.\n\nYou buy from Donkey. One contract, one company responsible for everything between the factory floor and your door. If costs move under your locked price, that's our problem. And our own people are on those factory floors, checking what goes into the box before it ships.\n\nOur AI agents read public customs records to find the real factories and pull their quotes. Duty gets stacked line by line. The pricing math is deterministic, not AI, so the number you see is the number you pay. Factory pricing and terms improve with volume, and Donkey's volume grows with every container.\n\nA home builder in Oakland put 15 SKUs into one container with us and saved 38% versus buying piecemeal from distributors. We're starting with the people who build.\n\nWe're Ben and James. Ben grew up in his family's industrial supply business and helped Chinese industrial giants like Sany and Zoomlion sell into Western markets. James built agent systems for industrial supply chains at InstaLILY. We’ve lived both ends of the container.\n\nIf your business buys inventory, bring us your buying list. [donkey.trade](http://donkey.trade)\\\n<https://www.youtube.com/watch?v=De03vZOgJuU>",
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        "user_id": 2454208,
        "full_name": "Aaron Zhang",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder and CEO of Peer. Majored in Computer Science at Harvey Mudd College and dropped out for YC S26. Built AI voice agents for trucking fleets at Waylens (a trucking telematics company) and researched AI agents and computer vision at the MIT Media Lab (City Science Lab, Taipei). Led the Claremont Accelerator, which raised $124K to back student startups. 1st @ Google DeepMind Hackathon at UCLA with Felix.",
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        "user_id": 2597858,
        "full_name": "Felix Peng",
        "title": "Founder/CTO",
        "founder_bio": "Cofounder of Peer. CS/Engineering at Harvey Mudd. Engineering with Apple, IBM, Magnefy, and others. At LADWP shipped internal AI tools to 250+ staff. 1st Place National, DOE EnergyTech University Prize ($25K, youngest winner). Won the Google DeepMind Hackathon with Aaron Zhang. President and founding team of the Claremont Accelerator; raised $124K from alumni, AWS, and Google to back student startups.",
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      {
        "id": 110495,
        "title": "Peer: AI-Native Freight Brokerage",
        "tagline": "Peer brokers every load autonomously, from quote to delivery.",
        "body": "Freight brokerages in 2026 look like stock trading floors in 1989. Rooms of people on phones, quoting prices from memory, faxing paperwork across the country. Then electronic trading showed up and those floors emptied out. Peer (YC S26) is that moment for trucking.\\\n\\\n[https://drive.google.com/file/d/1IsbGimgbdogUQdADAzDloIuPn9zQgEJi](https://drive.google.com/file/d/1IsbGimgbdogUQdADAzDloIuPn9zQgEJi/view?usp=sharing)\n\nTrucking is a $900 billion industry, and 91.5% of American trucking companies run ten trucks or fewer. Nobody shipping freight can manage hundreds of those relationships, so they hand the load to a broker, who finds the right truck, in the right place, at the right price.\n\nPeer is an AI-native freight brokerage. A shipper sends Peer a load and agents do everything after that: price it, find and vet the trucking company, handle the paperwork, track the delivery, and fix what goes wrong on the road. Even the most tech-forward incumbents need thousands of people to run a brokerage. Peer runs on agents, doing far more loads with far fewer people.\n\nShippers want a fair price fast, a truck that is insured, and a trucking company that shows up. An agent quotes market rates in minutes instead of days of emails, because it reads the request the moment it lands. It catches a lapsed insurance policy before the freight moves, because it rechecks continuously, not once at signup. And it drops a trucking company that keeps failing, because it has no relationship to protect.\n\nAaron and Felix are both technical and both dropped out of Harvey Mudd to build Peer. Aaron built voice AI for trucking fleets at Waylens and researched AI agents at the MIT Media Lab. Felix worked in machine learning at Magnefy and shipped AI tools to the LA Department of Water and Power. Together they won the Google DeepMind Hackathon at UCLA.",
        "url": "https://www.ycombinator.com/launches/SkB-peer-ai-native-freight-brokerage",
        "votes": 20,
        "created_at": "2026-08-14T19:32:27.384Z"
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    "id": 32617,
    "name": "Whitespace",
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    "website": "https://whitespacehq.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Whitespace builds AI agents that run the entire operation of supply chain businesses, starting with wholesale distributors. We give them self-improving AI agents that learn their business and do work like inventory planning and customer service.\r\n\r\nWe're building towards a world where all supply chain operations run through our agents, and all physical goods purchases can happen across businesses without human touch.",
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        "full_name": "Alex Tung",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Whitespace. First non-engineer hire at Ankar (Index-backed), scaling it to 7-figure ARR in under a year. Previously BCG, deploying AI at F500 distributors. Cambridge Economics.",
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      {
        "user_id": 3405544,
        "full_name": "Leon Yao",
        "title": "Founder/CTO",
        "founder_bio": "Founder at Whitespace. Previously Research Engineer at InstaDeep, running 7-figure supply chain AI deployments for F500 enterprises. UCL Machine Learning, publishing AI papers at IROS (top-3 robotics conference) as an undergrad.",
        "is_active": true,
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      {
        "id": 105676,
        "title": "Whitespace: AI Operating System for Wholesale Distributors",
        "tagline": "We help wholesale distributors grow 100x with AI agents that learn their business and do the work.",
        "body": "Hey everyone 👋 We’re [Alex](https://www.linkedin.com/in/alexyctung/) and [Leon](https://www.linkedin.com/in/linghong-yao/) - cofounders of [Whitespace](https://whitespacehq.ai/).\\\n\\\nWhitespace is the AI operating system for wholesale distributors. It connects to their systems to build a living model of their business, then deploys self-improving AI agents to do work like inventory planning, customer service, and order processing.\n\n**Problem**\n\nWholesale distribution is a $60 trillion global industry that touches one in every five dollars of global output. Yet it still runs largely manually. At a typical wholesale distributor, 30-50% of staff are dedicated to back-office tasks.\n\nThey spend their days on email, spreadsheets, and legacy systems, relying on tribal knowledge in their heads. Businesses cannot scale without hiring, and training a new hire takes >6 months.\n\nA quote from one of our customers really brings this to life: “I have 6 reps typing 600 lines of orders from email into the ERP every day. Everyone is inside our ERP and spreadsheets, copying data from one place to another.”\n\n**Solution**\n\nWhitespace is the AI operating system for wholesale distributors. It connects to their systems to build a living model of their business, then deploys self-improving AI agents. \n\nWe’re already working with wholesale distributors in sectors including industrial supplies and building materials to set up agents for processes like:\n\n* **Inventory Planning.** Forecasts product demand, recommends reorder quantities against stock levels, and learns over time from actual demand.\n* **Customer Service.** Monitors inboxes for support queries, digs through systems to find answers, and responds with human oversight.\n* **Order Processing.** Monitors inboxes, enters orders into the ERP, flags exceptions to humans, and learns from their corrections.\n\n<https://youtu.be/4UxlKKXrgfI?si=EwGhX1LCTGyauuw6>\n\n**Team**\n\nBoth our families ran wholesale distribution businesses, so we grew up seeing the inefficiencies and the opportunities firsthand.\n\n[Alex](https://www.linkedin.com/in/alexyctung/) advised F500 manufacturers and distributors on tech/AI at BCG, took a startup from launch to 7-figure ARR in a year as its first non-engineering hire, and graduated top of his college at Cambridge.\n\n[Leon](https://www.linkedin.com/in/linghong-yao/) built AI products for F500 logistics distribution companies at InstaDeep, published first-author RL papers at tier-1 conferences, and previously founded an EdTech startup that served thousands of users worldwide.\n\nWe’ve been best friends for 12 years since high school. We’ve lived and worked together, and are now tackling a challenge close to our hearts.\n\n![uploaded image](/media/?type=post&id=105676&key=user_uploads/2335228/2d187648-e6e7-4b98-8101-407f5e7aefee)\n\n**Ask**\n\nWe would appreciate intros to wholesalers or distributors at [alex@whitespacehq.ai](mailto:alex@whitespacehq.ai)",
        "url": "https://www.ycombinator.com/launches/RUS-whitespace-ai-operating-system-for-wholesale-distributors",
        "votes": 11,
        "created_at": "2026-07-16T14:54:16.399Z"
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    "name": "Ekho Labs",
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    "website": "https://ekholabs.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Ekho predicts the wars, strikes and tariffs that break global shipping, and tells freight teams which shipments are exposed and what to do about them. Predicting escalation is what our team did for eight years before this - now we bring the same engine to logistics.",
    "one_liner": "World Model for Freight",
    "team_size": 0,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
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    "city": "New York City",
    "country": "US",
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      "name": "Ankit Gupta",
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        "user_id": 3683165,
        "full_name": "Alina Park",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Ekho Labs. Previously Founding Engineer at Inca Digital, where she built a DARPA-funded AML platform, deployed across DoD, CFTC, PayPal, and more. \n\nAwarded Innovator of the Year by CFTC, prev. built Yachay AI, achieving state-of-the-art text-based geolocation (30km median error, 80+ languages). \n\nGuest speaker at Columbia MBA and Stanford Engineering.",
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      {
        "id": 109994,
        "title": "Ekho Labs - Forecasting Supply Chain Disruptions",
        "tagline": "Decision Engine for Supply Chains",
        "body": "**TLDR:**\n\n**Companies with global supply chains lose money to every small disruption. Ekho makes sure they don't.**\n\n**Problem:**\n\nManufacturing means choosing suppliers, booking transport, and keeping pulse on new tariffs - to make sure your production is fine. Companies tend to find out about disruptions when things break and cost them millions.\n\n**Solution:**\n\nEkho customers get an early warning AND optimal solution 1-3 weeks ahead of the events. So ships keep moving, production lines keep running, and customer promises get kept.\n\nI used to build signal detection systems for DARPA. Now that same type of engine watches 1M+ sources for the industry our phones, food, and clothes depend on - Supply Chains. What you get:\n\n* **Freight forwarders:** container-level forecasts. We’ll tell you what happens, when, and what to do while freight is still available and cheap. Your clients hear about the disruption from you, not from the news.\n* **Manufacturers and retailers:** you know which inbound materials will miss the production run, launch, or retailer order - and the cheapest fix, from expediting to switching suppliers or lanes.\n\n**Proof we’re cool:**\n\n1. When the Strait of Hormuz closed in February, we correctly predicted ceasefire dates, duration, and next steps in the war (<https://ekholabs.com/blog/the-hormuz-brief/>)\n2. We already work with large global companies\n\n**Ask**\n\nIntro us to Supply Chains VPs/COO at a retail (Target, Walmart, etc.), manufacturing (Fashion, Electronics, Food, etc.), or Freight Forwarding companies.\n\n**Email:** [alina@ekholabs.com](mailto:alina@ekholabs.com)\n\n**Website:** <https://ekholabs.com/>\n\nMy hilarious twitter: <https://x.com/olenyapark>",
        "url": "https://www.ycombinator.com/launches/Sc6-ekho-labs-forecasting-supply-chain-disruptions",
        "votes": 6,
        "created_at": "2026-08-11T21:00:00.268Z"
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    "id": 32948,
    "name": "Waybill",
    "slug": "waybill",
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    "website": "https://www.waybill.to/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Hardware teams burn weeks on procurement. An engineer needs a part. Someone emails five distributors, chases quotes, gets an approval, wires the money, tracks a shipment across three carriers, clears customs, and then nobody knows where the box is or what's actually on the shelf.\r\n\r\nWaybill runs that entire loop. Send us a part, a spec, or a BOM. We source it, pull quotes, route approvals, pay the supplier, handle freight and customs, track it to your dock, and keep your stock count updated. \r\n\r\nTake your supply chain for granted.\r\n\r\nBuilt by a team that's seen it at LAT Aerospace and WareIQ (YC S20).",
    "one_liner": "Agentic procurement & inventory for deep tech teams.",
    "team_size": 3,
    "industry": "B2B",
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    "launched_at": 1786690936,
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    "country": "IN",
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        "full_name": "Rishi Laddha",
        "title": "Founder/CEO",
        "founder_bio": "Founder at Waybill. Previously managed operations, supply chain, and government relations at LAT Aerospace (founded by Deepinder Goyal of Zomato). Built and scaled AI trade assistants at INDmoney. BTech in CS & AI from Plaksha University.",
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        "full_name": "Tushar Goyal",
        "title": "Founder",
        "founder_bio": "Founder at Waybill (S26). Previously built AI and software at WareIQ (S20). Computer Science, Plaksha University.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thetushargoyal/",
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      {
        "id": 111330,
        "title": "Waybill - Procurement autopilot for hardware teams.",
        "tagline": "Take your supply chain for granted.",
        "body": "Hi YC 👋 we're Rishi and Tushar, and we're building Waybill (<https://waybill.to>).\n\n**TL;DR:** Waybill runs procurement for hardware and deep-tech companies, end to end. An engineer tells us what part they need. Our agents and humans source it anywhere in the world, get quotes, handle payment, shipping, customs, last mile, log it into inventory and match the invoices. One system of record from request to stock. We don’t stop at the ‘order placed’. We make sure it reaches your shelf. A few crazy things Waybill was asked to source &amp; order -\n\n1. A lifetime supply of an obsolete RF component\n2. Cessna aircraft. Yes, real airplanes\n3. Industrial Robots\n\nLaunch video: <https://youtu.be/JPxhZFZ5xco>\n\n**Backstory**\n\nI (Rishi) ran operations at LAT Aerospace (Deepinder Goyal’s aerospace startup) as part of their founding team. On paper, that meant \"sourcing.\" In practice, it meant finding jet engines, flight controllers, high-density batteries, and satellite radios for a very ambitious aerospace program, then moving machinery and merchandise worth millions across borders, and finding and operating real estate you can actually fly aircraft from. I also handled government liaisoning, which is a polite way of saying I convinced the world's harshest bureaucracy to approve things it didn't have a form for, like taking off and landing an aircraft in under 50 meters.\n\nTushar has been working the other end of this problem his whole career. At WareIQ (YC S20), he built the autonomous inventory system behind 400+ Indian D2C brands - forecasting demand and making buying decisions across thousands of volatile SKUs without blowing up working capital.\n\nSo between us: I've spent my career buying hardware the hard way, and Tushar's spent his teaching machines to manage inventory. Waybill is both jobs in one system.\n\n**The problem**\n\nHardware engineers spend a big chunk of their week buying parts. They can't hand it off to operations folks, because only the engineer who specified the part knows which alternates are acceptable. And finding parts is genuinely hard: stock is scattered across distributor catalogs, resellers, and Alibaba listings, and packaging suffixes, obsolete part numbers, and regional inventory make the same part look like six different parts. It's a search, not a lookup.\n\nAll of this runs on email, WhatsApp, and spreadsheets. No system of record, and context dilutes at every handoff. Parts land late, arrive undocumented, or get bought twice. I know because at LAT, _I was the system of record_. It didn't scale.\n\n**What we built**\n\nAn engineer tells Waybill what they need. Our agents find every authorized distributor and manufacturer rep stocking that part anywhere in the world, request quotes and lead times, and rank the options by what the customer actually cares about. A defence company only wants suppliers from allied nations. A medical device company needs provenance. Everyone else wants the right balance of cost, lead time, and complexity.\n\nIf no distributor has it, our network in India, China, and Southeast Asia finds it. If a supplier can't ship to the customer's country, we pick up the box and ship it ourselves.\n\nOnce the order is placed, our agents prepare the customs paperwork, a licensed broker files it, parts are received into inventory automatically, and the invoice is automatically matched against the PO and import documents. The next time someone asks for that part, the agent says it's already on the shelf.\n\nAnd when a customer moves from R&amp;D to production, the same system scales with them. Demand comes off the BOM and build schedule - reorder points, second sources, volume pricing - and we already hold every order, price, and lead time they've ever had.\n\nMost procurement software ends at an approved PO. We end at a physical part on a shelf, customs-cleared and invoice-matched.\n\nRippling made the employee the first-class object and built every service around it. We're doing the same for the part.\n\nHere are a few crazy things engineering teams asked Waybill to procure in the two weeks that we’ve been live -\n\n1. A lifetime purchase of an obsolete RF component\n2. Cessna aircraft. Yes, real airplanes.\n3. Industrial Robots\n\n**Where this goes**\n\nA hardware company should be able to ask us for anything physical and get it. Today that's parts. Next it's PCB fab and assembly, CNC machining, 3D printing, tooling, trucking, warehousing, and allocation on ships and planes. The interface never changes: say what you need, and it arrives.\n\n**Asks**\n\n1. Hardware and deep-tech founders - we want to run your procurement. Comment, DM, or email me at [rishi@waybill.to](mailto:rishi@waybill.to). We’re company size agnostic.\n2. Intros to procurement leads at hardware enterprises. If you know one, we'd love a connect.\n\n**Ask for it and it shows up. Take your supply chain for granted.**",
        "url": "https://www.ycombinator.com/launches/Sxe-waybill-procurement-autopilot-for-hardware-teams",
        "votes": 13,
        "created_at": "2026-08-20T03:30:00.319Z"
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    "id": 33050,
    "name": "Derya",
    "slug": "derya",
    "former_names": [
      "Derya Maritime / Meridian Forwarding (forwarding office)"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Derya deploys supply chain automations for startups, SMEs, and enterprises that fulfil their entire supply chain function, from prospecting and procurement to distribution of goods.\r\n\r\nOur mission is to rebuild the supply chain from the ground up, turning one of the world’s hardest coordination problems into an AI native system that moves commodities by being integrated into both the supply chain infrastructure and the customer. We work across robotics, commodities, and food & beverages companies; procuring goods and managing various operation functions for them.",
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        "full_name": "Mert Turna",
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        "full_name": "Oguzhan Karaca",
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        "id": 109885,
        "title": "Derya: Your supply chain autopilot for mapping, planning, and execution.",
        "tagline": "We build agents that help hardware companies design supply chain processes and eliminate friction.",
        "body": "TL;DR: We map out all your procurement, logistics, assembly, and distribution operations and then execute them for hardware companies. If you build hardware, physical AI, robots, we'll set up the operations while you focus on designing your product and sales.\n\n**Ask:** If you are spending too much time sourcing components, managing manufacturers, or coordinating shipments, let's see how we can save time and make money for you. Reach us at [contact@usederya.com](mailto:contact@usederya.com) or book a meeting at[ https://calendar.app.google/vSabvozH51TCM9V18](https://calendar.app.google/vSabvozH51TCM9V18) \n\n<https://youtu.be/ZcWtJmPZjVo> \n\n**The Problem**\n\nRedundant labor and inefficiencies represent $1.3 trillion of the $13 trillion logistics market. You shouldn't be spending your Tuesday chasing a customs broker, comparing three carrier quotes you don't trust, and hoping your parts clear China customs before your build slips a week.\n\n**Solution**\n\nWe’re setting up your supply chain for you:\n\n* **Shipping &amp; customs automation** for cheaper and risk-free freight and imports\n* **Procurement** support to autonomously order, ship, and track all your inputs\n* **Production** visibility and execution to get your products ready to ship, quick\n\n**Why us**\n\nWe already handled more than $15M in freight before starting to handle the whole supply chain for companies ranging from lab robotics to biochemical manufacturers.\n\nWe’ve been friends for almost 10 years and built our first business together in high school. Mert was the CTO of the trucking AI company Hemut (YC P25), UCLA CS major, and the son of a ship captain. He built software for 25+ ships, a $450M fleet running on his software. \n\nOguzhan is an Oxford law grad who worked at CMA CGM/Ceva (3rd-largest shipper), previously built a six-figure-ARR AI-native business, and grew up in a farming family, providing him exposure as both the carrier and the customer.",
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    "long_description": "SpaceFlow is an AI-native procurement services company for businesses that make, move and serve physical goods. We help procurement teams bring more spend under management, execute source-to-contract work and turn identified savings into realized savings without adding headcount or replacing existing systems.",
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        "full_name": "Emre Isik",
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        "full_name": "Hakan Enes Aksu",
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        "full_name": "Ali Eren Aytekin",
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        "founder_bio": "Co-Founder of SpaceFlow Technologies. Previously developed deep learning models for genetic perturbation analysis, earning runner-up at the Microsoft Imagine Cup. Holds a patent for a compressed-air energy storage system. Engineering at Istanbul Technical University, dropout.",
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        "title": "SpaceFlow: AI-native procurement services for the physical economy",
        "tagline": "An extension of your team handling sourcing, planning and contracting. ",
        "body": "**TL;DR:** SpaceFlow is an AI-native procurement services company for businesses that make, move and serve physical goods. We help procurement teams bring more spend under management, execute source-to-contract work and turn identified savings into realized savings without adding headcount or replacing existing systems.\n\n<https://youtu.be/lS9pBj_LeV8>\n\n### The problem\n\nProcurement must absorb changing demand, supplier issues, and growing volume without increasing cost or risking continuity. Every existing option fails on the same axis:\n\n* **Internal teams:** expertise and judgment, fixed capacity. It takes years to build and when someone leaves, the tacit knowledge that keeps operations running is lost.\n* **SaaS:** automation and visibility without execution. The customer still staffs the operation, supervises it, handles exceptions, and owns the result.\n* **Outsourcing:** capacity, expertise, and accountability, permanently labor-linked. More volume, suppliers, and locations require more service-delivery headcount.\n\nThe unmet need is operating capacity that **takes responsibility for completing the work** while becoming faster, more consistent, and more profitable as volume grows.\n\n## The insight\n\n* **Software can recommend actions; it cannot assume commercial authority.** The customer keeps execution, exceptions, and supplier outcomes. Whoever owns the exceptions owns the expertise, and expertise is the entire product in procurement.\n* **Incumbents cannot follow.** Consulting and outsourcing firms store process knowledge in employees and grow revenue through staff hours. Automation directly cannibalizes that model.\n* **The economics are breakable.** Traditional services sit below software economics: Accenture at Rule-of-22.6, Genpact at 24.1. An AI-native operator can reach **Rule-of-60**.\n\n## What we built\n\n**The proprietary platform SpaceFlow uses to operate procurement for customers.**\n\n* A **process-mapping engine** converts interviews, SOPs, approval rules, and existing system configurations into executable workflows. A supply-chain consultancy estimates it cuts customer launch from **26 months to 4**, a 6.5x jump in deployment capacity.\n* It **executes procurement end to end**, from demand and production planning through sourcing, contracting, purchase orders, exception resolution, and reconciliation, across the customer's own systems.\n* Operating across companies in the same vertical turns cross-company experience into **proprietary process and supplier intelligence**, while pooled demand creates **group-purchasing power**: better execution, prices, resilience, and terms for every customer.\n* The same platform **monitors service levels, resolves exceptions, and remains accountable** for completing the operation. Per-action autonomy limits, approval queues, and an immutable audit log make every task provable.\n\n## Proof so far\n\n* **Live:** $400M a year of supplier spend under management, zero systems migrated. Multiple six figure contracts signed.\n* **Demand for delegation:** our first customer cancelled 3 planned procurement hires, the CSCO invested his own money, and two chains are signing to progressively outsource purchasing, one planning a procurement team 90% smaller by 2027.\n* **Results:** 3x faster RFQ cycles, off-contract spend down 42% at one customer, $120K a year saved at another.\n\n## Where this goes\n\nSpaceFlow will replace legacy service providers across the physical economy. Traditional service firms grow by hiring; SpaceFlow grows output faster than headcount, targeting **$1B in revenue with headcount capped at 100**. \n\n## What's in it for you?\n\n1. **You run a physical-goods company with $100M+ supplier spend:** send us 12 months of PO history and we'll map one lane and size the savings, free. [spaceflow.tech](http://spaceflow.tech) · [emre@spaceflow.tech](mailto:emre@spaceflow.tech)\n2. **You know an operator like that:** intros are gold. \n\n### **About the team:**\n\n**Emre Isik (CEO)**  studied computer engineering at the University of Cambridge and dropped the master's to build SpaceFlow full time. Before that he researched embedded AI for motor control at UCLA's Institute for Pure and Applied Mathematics, published a machine-learning paper on reasoning with small data, and trained with Turkey's international informatics olympiad reserve team at 15. \n\n**Ali Eren Aytekin (co-founder)** left engineering at Istanbul Technical University to build SpaceFlow.  He was Microsoft Imagine Cup EMEA runner-up for a genetic-signal classifier that hit 98.3% accuracy, and co-authored the published paper on low-data reasoning. [LinkedIn](https://www.linkedin.com/in/ali-eren-aytekin-6305a41aa/) . He talked his way into an invite-only AI showcase in Istanbul, came out with a procurement problem from the CEO of a UK medical manufacturer, and shipped the solution with the team in two weeks. That deal became the learning SpaceFlow grew from.\n\n**Hakan Enes Aksu (co-founder)** left information engineering at Boğaziçi University to build SpaceFlow. He has been shipping commercial software since 16, when his Reddit ad-automation service earned $40K in revenue, and he later built a tender-matching engine that reads public tenders against a company's product catalog and sold it to a corporate customer for five figures. He scored in the top 500 out of roughly 3 million students in Turkey's national university entrance exam. [LinkedIn](https://www.linkedin.com/in/hakan-enes-aksu/)",
        "url": "https://www.ycombinator.com/launches/SSl-spaceflow-ai-native-procurement-services-for-the-physical-economy",
        "votes": 37,
        "created_at": "2026-08-06T15:30:00.856Z"
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    "id": 35261,
    "name": "Asakana",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Restaurants send orders to food distributors by email, text, and photo. Someone at the distributor retypes every one of them into the ERP. Asakana does that entry instead: orders land in the ERP already entered, and anything unclear goes to a person before it goes in. Live at US seafood distributors today, returning 40%+ of order-desk time to selling. Founded by a seafood distributor and a Gemini builder.",
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    "team_size": 4,
    "industry": "B2B",
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        "full_name": "Yudai Matsuoka",
        "title": "Founder/President",
        "founder_bio": "Fish-lover🐟 / Ex-Fisherman / Ex-McKinsey. \n\n- Tuna Distributor: Mitsubishi Corporation (Tokyo)\n- Fisherman: Yellowtail fish farm (Kagoshima, Japan)\n- Consultant: McKinsey (Tokyo, New York)\n- MBA: Columbia Business School / UC Berkeley Haas",
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        "full_name": "Benjamin Solis-Cohen",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at Asakana. Previously senior AI research engineer at Google launching Gemini in Chrome and computer use agents (e.g. Project Mariner back in 2024). Contributed to the first Gemini Computer Use model paper. 8 years at Google spanning Ads ML and AI research.",
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      {
        "id": 122477,
        "title": "Asakana: Automating sales and the entire back office for food distributors",
        "tagline": "Asakana translates texts, calls and handwritten notes from restaurants directly into existing ERPs, including orders, credit memos, returns. Restaurants and distributors change nothing. ",
        "body": "**TL;DR:** Food distributors still receive orders from old-school restaurants via text, phone and handwritten notes, and a rep manually retypes every one into a legacy ERP. Asakana reads those messages and does the entry automatically. Restaurants and reps keep working the way they do today. In production at a US food distributor.\n\n<https://youtu.be/XONUcUsuxSY>\n\n**The problem**\n\nA food distributor runs on messages. Restaurants order by text, phone, WhatsApp, a photo of a handwritten note, often not in English. They report an incorrect, short, or damaged delivery the same way. A rep or an admin staff member reads every one of those messages and enters it by hand into an ERP or spreadsheet: the order, the return, the credit memo.\n\nOne of our customers receives about 60 orders a day this way, some over 75 lines. A sales rep reads each one, works out which of 10 salmon items \"salmon\" means, and types it into the ERP line by line. Then the credit requests from yesterday's deliveries, each one a return and a credit note typed in by hand. Reps there spend about 30% of their day on this.\n\nApps and portals tried to replace this manual work, but old school restaurants and distributor’s sales reps never learned them, so the retyping remained. The US has more than 27,000 food distributors and their 100,000 sales reps and back-office staff suffer from painful manual work like this.\n\n![uploaded image](/media/?type=post&id=122477&key=user_uploads/2103989/75737558-db33-4f61-b265-2230e25c9ef6)\n\n**What Asakana does**\n\nAsakana does the manual work so reps can focus on selling. Restaurants and reps keep working the way they do today. Three steps, the same for every workflow:\n\n* Read messy information: spreadsheets, PDFs, handwritten notes, and messages, down to the photo of the handwritten invoice a driver brings back from a delivery.\n* Understand your business: customer habits, product shorthand, and unwritten rules. \"Same as last Friday\" is order SO-78211. \"AC\" means albacore tuna. Salmon is always skin-on.\n* Connect to your systems: work directly with your existing ERP and tools.\n\nAnything unclear goes to a person before it goes in. The rep gets one email notification per task: what was entered and anything to keep an eye on.\n\nWorkflows we automate this way:\n\n* Order entry\n* Credit memos and returns\n* Upsell suggestions\n* Cutoff reminders\n* Past-due collections\n* PO creation\n* New customer discovery\n\nChinese, Korean, Spanish, Japanese: read the way they were written, with the shorthand and nuance of each language, and matched to the item in the English catalog.\n\nAnything that moves by hand from a message into a system or a spreadsheet, we automate.\n\n**The team**\n\nWe're Yudai and Ben. Yudai was a fisherman and a seafood distributor (Mitsubishi Corporation), where he did this manual work himself, then at McKinsey transformed companies that still ran on it. Ben spent 8 years at Google as a senior AI research engineer on Project Mariner and Gemini.\n\n![uploaded image](/media/?type=post&id=122477&key=user_uploads/2103989/00516563-7bf8-455c-8256-40d8ce2b5667)\n\n**Our ask**\n\nIf you work at or know a food distributor please reach out.\n\nWebsite: [asakana.co](https://www.asakana.co/?utm_source=launch_yc&utm_medium=referral&utm_campaign=yc_launch_202610)\n\nEmail: [yudai_matsuoka@asakana.co](mailto:yudai_matsuoka@asakana.co)\n\nBook a call: <https://calendly.com/yudai_matsuoka-asakana/30min>\n\nYudai and Ben",
        "url": "https://www.ycombinator.com/launches/VrR-asakana-automating-sales-and-the-entire-back-office-for-food-distributors",
        "votes": 52,
        "created_at": "2026-10-16T19:00:00.208Z"
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    "id": 35266,
    "name": "TrueMile",
    "slug": "truemile",
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    "website": "https://TrueMile.AI/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "TrueMile is building a fully autonomous logistics company, starting with trucking. Delayed pickups, empty miles and poor planning eat into a carrier’s profits. Our agents coordinate loads, routes, driver schedules and fuel stops to earn more from each truck and lower the cost of moving goods.\r\n\r\nWe’re starting with our own fleet so we control execution, learn from every delivery and keep the gains. Human drivers come first. As autonomous trucks become available on our routes, we’ll have the customers, freight and infrastructure ready for them.\r\n\r\nAs we drive toward AGI, people will still need groceries, clothes and materials to build their homes. Someone has to move all of it. We want every leap in AI to show up in what people pay for everyday goods.",
    "one_liner": "An AI-operated logistics company.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1790031761,
    "tags": [
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      "Machine Learning",
      "Logistics",
      "Data Science"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2026",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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