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        "full_name": "Garrett Wilson",
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    "id": 486,
    "name": "Cheetah",
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    "subindustry": "B2B -> Retail",
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    "website": "http://easypost.com",
    "all_locations": "Austin, TX, USA; San Francisco, CA, USA; Remote",
    "long_description": "EasyPost is the missing API that makes it quick and painless to integrate shipping into your application.\r\n\r\nSome of the biggest names in retail rely on EasyPost to ship faster, smarter and cheaper. We manage the headaches involved with dated carrier technology so our customers can focus on what makes their business great. Integrate once with EasyPost and seamlessly add carriers, generate shipping labels, track packages in near real-time and insure your shipments.\r\n\r\nEasyPost is growing fast! Check out our jobs page and join the excitement: https://www.easypost.com/jobs",
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        "full_name": "Jarrett Streebin",
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    "name": "Flexport",
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    "website": "https://www.flexport.com/careers/jobs/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Founded in 2013, we believe trade can move the human race forward. That’s why our mission at Flexport is to make global trade easy for everyone.\r\n\r\nWhat the internet has done for bits and bytes, Flexport is doing for physical goods: giving every business the ability to connect to any customer, wherever they are in the world. That sounds pretty straightforward, but a fragmented and inefficient global supply chain has held the world back from untapped growth and innovation. By connecting everyone in the global economy we can unlock commerce, creativity, and human progress.\r\n\r\nTo do so, we’re building the platform for global logistics—empowering buyers, sellers and their logistics partners with the technology and services they need to grow and innovate. \r\nToday, we work with more than 40,000 customers and their suppliers across industries like manufacturing, retail, electronics, consumer goods, tech, apparel, and beauty. Companies of all sizes—from emerging brands to Fortune 500s—used Flexport technology to move nearly $19B of merchandise across 112 countries in 2021.\r\n\r\nInterested in joining our team? Check out our open job postings on careers site and apply directly today! https://www.flexport.com/careers/jobs/ ",
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    "industry": "B2B",
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        "user_id": 12256,
        "full_name": "Ryan Petersen",
        "title": "Founder/CEO",
        "founder_bio": "Founder of Flexport",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rpetersen",
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    "news": [
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        "title": "Flexport raises $260M from Shopify - FreightWaves",
        "url": "https://www.freightwaves.com/news/flexport-raises-260m-from-shopify",
        "date": "Jan 19, 2024"
      },
      {
        "title": "Flexport Taps Uber Freight Executive to Build Truck Brokerage - WSJ",
        "url": "https://www.wsj.com/articles/flexport-taps-uber-freight-executive-to-build-truck-brokerage-8fd6f459?utm_content=article-10529&utm_source=sg&utm_medium=email&utm_campaign=article_email",
        "date": "May 18, 2023"
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      {
        "title": "Flexport: 2023 CNBC Disruptor 50",
        "url": "https://www.cnbc.com/2023/05/09/flexport-disruptor-50.html",
        "date": "May 09, 2023"
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      {
        "title": "Logistics startup Flexport plans hiring spree, to double engineers in 2023 | Reuters",
        "url": "https://www.reuters.com/business/logistics-startup-flexport-plans-hiring-spree-double-engineers-2023-2022-11-02/",
        "date": "Nov 07, 2022"
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      {
        "title": "Can software simplify the supply chain? Ryan Petersen thinks so - The Verge",
        "url": "https://www.theverge.com/2022/9/20/23362021/flexport-supply-chain-crisis-logistics-software-tech",
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    "name": "GrubMarket",
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    "long_description": "GrubMarket is the AI-powered technology enabler and digital transformer of American Food Supply Chain industry. Our mission is to build and provide the eCommerce and software technologies to this industry, to transform this completely offline and highly manual industry into modernized online industry powered by software technologies, and improve the efficiency of American food supply chain.\r\n",
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        "answer": "I started the company self-funded. So I had to work full-time on another job and can only work at this company at my spare time including weekends until about 10 months later. This company started at my garage."
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      {
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        "answer": "I heard Y Combinator has incubated many great companies and I wanted to be part of them. That is why I applied for it."
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        "full_name": "Mike Xu",
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        "date": "Sep 13, 2021"
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    "name": "Lumi",
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    "website": "https://www.lumi.com",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Lumi.com provides packaging and shipping supplies to online brands, from small businesses to leading ecommerce companies shipping millions of orders per month.",
    "one_liner": "Packaging for online brands.",
    "team_size": 67,
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        "full_name": "Jesse Genet",
        "title": "Founder/CEO",
        "founder_bio": "Founded Lumi.com, sold to Narvar.com",
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        "full_name": "Steph Ango",
        "title": "Founder",
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        "title": "Narvar Acquires Lumi to Help Over 800 Retailers Cut Shipping Costs",
        "url": "https://www.businessinsider.com/narvar-acquires-lumi-to-help-retailers-cut-shipping-packaging-costs-2021-12",
        "date": "Dec 15, 2021"
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    "id": 1066,
    "name": "Kisan Network",
    "slug": "kisan-network",
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    "all_locations": "Gurugram, HR, India; HR, India",
    "long_description": "Kisan Network is a tech enabled and fully integrated PAN India agri produce supply chain. We connect small and marginal farmers directly to businesses anywhere in the country, with each step digitally captured and monitored on our proprietary management portal. As a result, farmers are able to earn 10% more than prevalent market prices for their produce.\r\n\r\nOur system, built on the 3 pillars of \r\n1) 100% integration\r\n2) Standardisation w.r.t. on-field practices and,\r\n3) Transparency for all stakeholders\r\n\r\nis a departure from the opaque and inconsistent traditional supply chain which thrives on the high levels of fragmentation in the ecosystem. There is 0% use of paper in our entire chain, with specific focus on building a national agri repository of micro level stakeholder information and on image / data driven automated crop quality assessment.",
    "one_liner": "Tech enabled and fully integrated PAN India agri produce supply chain",
    "team_size": 75,
    "industry": "Industrials",
    "subindustry": "Industrials -> Agriculture",
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        "title": " Geotab Launches Geotab Fleet Card with AtoB",
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      {
        "title": "Murphy USA unveils new fuel cards powered by AtoB",
        "url": "https://finance.yahoo.com/news/murphy-usa-unveils-fuel-cards-100000472.html",
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        "title": "AtoB Raises $130 Million to Fuel Transportation Payments Services",
        "url": "https://www.pymnts.com/news/investment-tracker/2024/atob-raises-130-million-to-fuel-transportation-payments-services/",
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        "full_name": "Harsh Vaidya",
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        "user_id": 490022,
        "full_name": "Aayush Mattoo",
        "title": "Founder",
        "founder_bio": "Young entrepreneur with a deep interest in the supply chain dynamics. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/aayushmattoo/",
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      {
        "id": 71128,
        "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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    "long_description": "Our team of farmers and chefs curate boxes of the finest quality local food for our customers each week. From seasonal produce, to humanely-handled pasture-raised meat, to organic eggs and dairy, there's something for every family. We deliver right to your door, as often as you want. Whether your family needs a delivery once a week or once a month, we're committed to helping you shop local. Delivery includes recipe suggestions, cooking videos, and more from our team of chefs. Whether you're looking for advice on how to roast a whole chicken or what that new-to-you vegetable is, we're here for you every step of the way.",
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    "team_size": 38,
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    "subindustry": "Consumer -> Food and Beverage",
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      "America / Canada",
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    "country": "US",
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        "user_id": 414438,
        "full_name": "Julia Niiro",
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        "full_name": "Dane Cook",
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        "full_name": "Jad Rahbany",
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        "founder_bio": "Jad is a co-founder of Tank Payments. Prior to Tank, Jad was a Software Engineer at Amazon working on the Alexa AI team, and a Product Manager at Google and Graphiq (acq. by Amazon). Originally from Lebanon, Jad graduated from Cornell University with a degree in Computer Science and a minor in Business.",
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        "founder_bio": "Matthew Rybak is the co-founder of Tank Payments. Matthew heads factor business development and product at Tank. He started out in financial services (Citigroup), but quickly moved to a tech startup in Santa Barbara CA (FindTheBest/Graphiq), which was acquired by Amazon Alexa AI in 2017. Since departing Amazon, he has started a RE development firm, a website (Truckinfo.net), and Tank Payments. He earned a Bachelors and Masters in Systems Engineering from the University of Pennsylvania.",
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        "url": "https://www.ycombinator.com/companies/tank-payments/jobs/AGM7jgV-software-engineer",
        "location": "Austin",
        "type": "Full-time",
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        "url": "https://www.ycombinator.com/companies/tank-payments/jobs/ugnOzaS-senior-software-engineer",
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        "url": "https://www.forbes.com/profile/jad-rahbany/?list=30under30-manufacturing-industry/",
        "date": "Dec 02, 2024"
      },
      {
        "title": "Trucking fintech company Tank Payments nets economic empowerment prize - FreightWaves",
        "url": "https://www.freightwaves.com/news/trucking-fintech-company-tank-payments-nets-economic-empowerment-prize",
        "date": "Oct 19, 2023"
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        "id": 65088,
        "title": "Tank Payments: The neobank built for trucking businesses",
        "tagline": "We get truckers paid faster.",
        "body": "We’re Dane, Jad, and Matt, and we’re excited to introduce Tank Payments.\n\n### **❌ The Problem**\n\nWhen truckers haul loads, shippers stipulate 30 to 90 day payment terms, which is too long for many trucking companies that operate on thin margins. To access cash faster (1-3 days), trucking companies sell their invoices to financing companies called “factors” for a 2-5% fee. Many truckers end up paying up to $40 in fees per invoice to wire money from their factors if they need cash from their factors immediately, meaning that **some truckers give up close to 10% of their income to get access to the money they’ve already earned.**\n\nMoney movement in freight is not efficient, causing truckers to stitch together a variety of tools (Cash App, local commercial banks, factoring, fuel cards, and more) to manage their businesses. Even the business that pay truckers (e.g. factors) use dated payments infrastructure, exacerbating delays. This leaves an opportunity for software that addresses these financial needs in a way that’s purpose-built for the freight industry.\n\n## **✨ Our Solution**\n\n![uploaded image](/media/?type=post&id=65088&key=user_uploads/793427/be064c4e-46a5-4172-8c84-dd10830f6b9a)\n\n**Tank Payments is a banking experience specifically designed for the freight industry, and its first feature allows truckers to get paid faster.** We give truckers instant access to their money by putting factors and truckers on the same financial infrastructure. Factoring companies partner with Tank because our infrastructure reduces their time spent on accounts payable, and helps them retain customers by offering a better funding experience.\n\nOver time, the Tank Payments will become the finance department for trucking SMBs, supporting the many unique financial requirements of freight businesses. We’ve pinpointed payroll, expense management, insurance, and P2P payments as areas of priority that our neobank is well-positioned to serve.\n\n![uploaded image](/media/?type=post&id=65088&key=user_uploads/793427/e85b3331-683f-4031-bd75-51747ce4bb4c)\n\nOur team worked together for the past 7 years, first at a startup (Graphiq, acq. 2017) and then at Amazon Alexa AI. We bring experience in financial services, data analytics, digital security, and natural language processing to a freight industry in the midst of a tech adoption boom.\n\n### **🙏 Asks**\n\n1. We would love to connect with founders and teams that have **experience embedding 1) payroll, 2) card rewards (e.g. fuel discounts), and 3) insurance into their software**.\n2. Tank wants to expand and distribute its neobank through entities that pay truckers, beyond factors. We want to learn more about how players like international freighters (e.g. Maersk), freight forwarding companies (e.g. Flexport), domestic shippers (e.g. Kroger’s Markets), and third-party logistics providers (e.g. C.H. Robinson) **perform payouts and if they could benefit from payment speed and/or coordination.**",
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        "created_at": "2022-08-03T05:00:27.064Z"
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    "year_founded": 2019,
    "city": "San Francisco",
    "country": "US",
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      {
        "user_id": 522591,
        "full_name": "Deema Adada",
        "title": "Founder",
        "founder_bio": "Deema spent 15 years in leadership roles at Coyote Logistics and Uber Freight, driving significant innovation in the supply chain industry.  During that time, she felt the acute challenges of siloed technology and workflows across the supply chain resulted in less than 1% of shipments could be handled without human intervention, which propelled her to found BiggerPicture.",
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      {
        "user_id": 1049471,
        "full_name": "Guillaume Lo Re",
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        "founder_bio": "During his 13 years working at startups as well as hyper-growth companies such as Datadog and Dassault Systèmes, Guillaume developed a passion for solving complex problems with simple solutions. He takes pride in shaping and crafting stunning user experiences for high volume and critical applications. ",
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    "name": "autone",
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    "website": "https://autone.io",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Today, Retailers have to make 1000s of complex operational decisions every day, all impacting their bottom line.This problem is being currently tackled with excel or legacy systems, both no longer fit for purpose.\r\n\r\nWe make a platform that lets retailers make optimal decisions, easily and quickly. We ingest a retailer's data, generate recommendations and then allow users to approve a given action. Our platform covers topics including product pricing, inventory replenishment and re-ordering with the goal of covering all operational processes.",
    "one_liner": "Inventory management SaaS for Retail & Consumer brands",
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    "subindustry": "B2B -> Retail",
    "launched_at": 1657122917,
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      "name": "Aaron Epstein",
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      {
        "user_id": 977644,
        "full_name": "Adil Bouhdadi",
        "title": "Founder",
        "founder_bio": "Over his career, Adil has worked within the retail industry across leading luxury fashion companies in Paris, New York, and London. In 2020, he co-founded Autone to help retail & consumer goods businesses scale their performances by accurately understanding, planning and forecasting their sales & operation flows.\nIn his free time, Adil enjoys exploring Italy on the weekend, visiting family in Marrakech,\nor traveling around Europe.\n",
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        "title": "autone secures £13 Million Series A Investment led by General Catalyst – UK Tech Investment News by Deal Lite",
        "url": "https://www.uktechnews.info/2024/10/16/autone-secures-13-million-series-a-investment-led-by-general-catalyst/",
        "date": "Oct 15, 2024"
      },
      {
        "title": "UK’s autone raises €4.2M to maximise business growth by turning data into decisions | Silicon Canals",
        "url": "https://siliconcanals.com/crowdfunding/autone-raises-4-2m/",
        "date": "Oct 06, 2023"
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      {
        "id": 64373,
        "title": "Autone🔮 the Sales & Operations planning platform for retailers",
        "tagline": "Helping retailers make better operational decisions",
        "body": "Hello YC 👋🏼\\\nWe’re [Adil](https://bookface.ycombinator.com/user/977644) and [Harry](https://bookface.ycombinator.com/user/951330), co-founders of [Autone](https://bookface.ycombinator.com/company/27164)!\n\nAutone’s platform empowers Retail & CPG companies with precise predictions on their supply and demand, so they can **grow,** save money, **eliminate waste** and free up time to focus on their business.\n\n**Problem**\n\nToday, Retailers have to make 1000s of **complex operational decisions** every day, all impacting their **cash flow management, and profit margin**. This problem is being currently tackled with countless spreadsheets or legacy systems, no longer fit for purpose.\n\n**Solution**\n\nOur platform allows business users to make **optimal decisions, easily and quickly**. Autone acts as an intelligence layer on top of the company’s existing infrastructure, turning data into decisions at lightning speed.\n\n**Why we’ve built Autone?**\n\nAfter successfully growing McQueen's business, we kept getting requests from old colleagues to help them, at the new companies they have joined, solve the same problems. We quickly understood that this was a **pattern across the industry**, so we decided to solve these inefficiencies.\n\n**Let’s get in touch!**\n\nWe always love to get feedback from all kinds of users, so if you would like to test our product, please send us an email at [founders@autone.io](mailto:founders@autone.io) or by clicking [here](https://calendly.com/autone-support/autone-discover-more?month=2022-07) 🙂\\\nIf you need some customers in the retail space, we’ll be more than happy to put you in touch with our network.\n\nThank you ✌🏼",
        "url": "https://www.ycombinator.com/launches/GkH-autone-the-sales-operations-planning-platform-for-retailers",
        "votes": 16,
        "created_at": "2022-07-06T15:54:45.259Z"
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    "name": "Pivo Technology Inc",
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    "website": "http://www.pivo.africa",
    "all_locations": "Lagos, LA, Nigeria; LA, Nigeria",
    "long_description": "Africa has experienced robust macroeconomic growth over the last five years and was the second fastest growing region in 2019 with a GDP of $2.6T, a 3.7% increase on 2018. Nigeria makes up $0.5T, 50% of which comes from Small and Medium Enterprises (SMEs) – a huge number of these operate within large manufacturing supply chains.\r\n\r\nStarting with Freight Carriers Pivo makes financial services easily accessible for truck owners and truck drivers by providing a bank account, debit card and digital invoicing tools so they can get paid faster and avoid cash flow problems.\r\n\r\nThis will be further augmented by more fundamental financial products such as credit, transaction management, and expense management, to improve their cashflow. ",
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    "team_size": 11,
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    "subindustry": "Fintech",
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    "linkedin_url": "https://www.linkedin.com/company/75046532",
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      "name": "Brad Flora",
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    "founders": [
      {
        "user_id": 810653,
        "full_name": "Ijeoma Akwiwu",
        "title": "Founder",
        "founder_bio": "COO/Legal Engineer building Pivo Africa.",
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        "linkedin_url": "https://www.linkedin.com/in/ijeoma-akwiwu",
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      {
        "title": "Pivo, a Nigerian fintech company run by women, raises $2 million in a seed round - Tech In Africa",
        "url": "https://www.techinafrica.com/pivo-a-nigerian-fintech-company-run-by-women-raises-2-million-in-a-seed-round/",
        "date": "Nov 24, 2022"
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      {
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        "url": "https://techcrunch.com/2022/11/24/pivo-powers-up-nigerian-freight-carriers-with-a-bespoke-digital-bank-gets-2m-seed-funding/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAANDKVeU48Z3OLIXGQdgcwpNXX8KOit_fh-Thu-cllO8ICvCNk9_4IkhoPfPHTtIH_NFXj1VaXzKNdXgMjVcFmnGXY7eedSF9lNAbBuXDTXcRzQ7AHoIZF4NLdx7wPNbtFa9CIf09YJ2XmxiI24HUJDDOI-rvrxhhMmh6oEZRK2vb",
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        "url": "https://businessafricaonline.com/pivo-africa-secures-2m-seed-round/",
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        "url": "https://www.benjamindada.com/pivo-africa-secures-2m-seed-to-expand-into-east-africa/",
        "date": "Nov 24, 2022"
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        "title": "How Pivo is providing fast and reliable financial services for Africa’s supply chain businesses",
        "url": "https://techpoint.africa/2022/03/14/pivo-supply-chain-financing",
        "date": "Mar 14, 2022"
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        "id": 65366,
        "title": "Pivo - Bank Accounts and Payments for Freight Carriers in Africa",
        "tagline": "Meet Pivo, a platform that centralizes the way freight carriers collect, make and track payments.",
        "body": "**The Problem**\n\nSMEs in supply chains are constantly battling cash flow problems. These SMEs do not get paid in advance and have narrow windows (2 to 7 days) to execute orders. Yet their invoices take as long as 90 days to pay. This is further compounded by an inefficient way to track how and when they get paid. They are left struggling to execute large client orders and miss out on significant business opportunities and earnings.  \n\n**The Pivo Solution**\n\nStarting with freight carriers, Pivo provides easy access to a smart bank account, debit card and digital invoicing tools that track payments so they can get paid faster. \n\n![uploaded image](/media/?type=post&id=65366&key=user_uploads/147283/c94afb6e-46c0-424c-9633-9c94b17b6364)\n\nThis will be further augmented by more fundamental financial products such as access to credit and expense management, to improve cash flow for these SMEs. \n\nOur goal is to build an end-to-end financial operating system for these businesses.  \n\n**Our Ask** \n\nKnow any supply chain companies or tech platforms looking for a smart financial partner for their SME vendors? We’d love to connect with them. Send us an email: [founders@pivo.africa](mailto:founders@pivo.africa).",
        "url": "https://www.ycombinator.com/launches/H0I-pivo-bank-accounts-and-payments-for-freight-carriers-in-africa",
        "votes": 91,
        "created_at": "2022-08-15T13:40:28.304Z"
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    "id": 27707,
    "name": "Trackstar",
    "slug": "trackstar",
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    "website": "https://www.trackstarhq.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Trackstar is the Plaid for supply chain logistics. Our universal API provides a simple and well-documented way for companies to integrate with hundreds of warehouse management systems (\"WMS\") in minutes, not months. ",
    "one_liner": "Plaid for supply chain logistics",
    "team_size": 10,
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        "full_name": "Jeremy Schneck",
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      {
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        "title": "Trackstar – Plaid for supply chain logistics",
        "tagline": "We make it possible for software companies to integrate with warehouse management systems via a universal API.",
        "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!",
        "url": "https://www.ycombinator.com/launches/IEO-trackstar-plaid-for-supply-chain-logistics",
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        "created_at": "2023-03-09T06:13:37.876Z"
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        "id": 82795,
        "title": "Mandel AI - Never chase suppliers for updates again",
        "tagline": "We surface supply chain disruptions and supplier updates with email AI.",
        "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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        "title": "Airgoods – the wholesale marketplace for food & beverage",
        "tagline": "We connect specialty food stores with their next best selling products",
        "body": "**TLDR:** [**Airgoods**](https://airgoods.com/) is a wholesale marketplace that makes it easy for specialty food stores to buy their inventory in one place. Today, we focus on connecting these stores with over 1,000 non-alcoholic and functional beverage products.\n\nHi everyone! We’re Aaron, Elian and Paolo – the team behind Airgoods. We’re on a mission to level the playing field for specialty food stores by offering tools previously only available to big box chains.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/38498184-4bb5-425f-8025-35e02960e710)\n\n### 🤔 **The Problem**\n\n* **Specialty food stores struggle to stay up to date on new and trending products.** Today, most rely on social media platforms like Instagram for discovery. Once they see a product they like, they send the brand a DM to ask for a sample – which can take weeks to months to receive.\n* **To purchase inventory, they have to manage dozens of direct brand relationships.** That means placing orders and coordinating payments over email, phone calls and texts.\n* **Best sellers often go out of stock.** At most specialty stores, reorders only happens when the buyer sees that the shelf is empty. This means there are days – if not weeks – that go by with best sellers being out of stock.\n* **Most brands don’t have the resources to run an in-house wholesale team.** They primarily rely on inbounds, and many relationships end because of limited resources to maintain the account over email, Instagram DMs, and texts.\n\n### **🧰 Our Solution**\n\nAirgoods makes it easy for specialty food stores to discover, sample and order inventory in one place. How?\n\n* **Curated marketplace views that align with store type.** This industry is unique in that the product mix is homogenous within the same store type. For example: an specialty cheese shop in New York offers the same kind of products as one in San Francisco. This allows us to show a business all of the products they want – and nothing they don’t – with high accuracy. For example, today liquor stores and NA bottle shops see the following.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/653e9c5f-f193-4070-9c93-b6da89fddb52)\n\n* **Simplified sample requests.** On Airgoods, stores receive samples in days instead of weeks. We do this by making it easy for brands to track and fulfill samples with in-platform tools that embed the process into their daily order fulfillment workflows. By streamlining this process, we also help brands boost sample to order conversion rates.\n* **Data-driven recommendations and insights.** We provide our buyers with insight into what products are selling best in similar stores around the country. This adds transparency for an industry that traditionally relies on word-of-mouth recommendations.\n\n![uploaded image](/media/?type=post&id=73226&key=user_uploads/797737/015ce154-6e52-4ac5-b3ce-058e77460b29)\n\nWe also integrate with Shopify, which allows brands to fulfill orders from Airgoods without having to onboard to a new sales channel.\n\n### **🐶 Who are we?**\n\nWe are three Yale alums who have been close friends since our first year of college. Before starting Airgoods, Aaron and Elian worked together at an emerging VC fund in NYC, and Paolo and Elian were on Yale’s mens soccer team.\n\nAaron’s dad owns a brick and mortar shop in Maine, and he saw how challenges around ordering inventory put his small store at a major disadvantage to big box chains with dedicated buying teams.\n\n### **🙂 Our Ask**\n\n* Do you have any favorite non-alcoholic or functional beverage brands? Let us know! We’d love to onboard them [**🥂**](https://emojipedia.org/clinking-glasses/)\n* Connect us to anyone you may know in the specialty grocery / wholesale space (store owners, brand owners, service providers) – we’d love to chat at [**founders@airgoods.com**](mailto:founders@airgoods.com)",
        "url": "https://www.ycombinator.com/launches/J34-airgoods-the-wholesale-marketplace-for-food-beverage",
        "votes": 70,
        "created_at": "2023-07-19T16:18:15.129Z"
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    "id": 28860,
    "name": "Terminal",
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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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        "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"
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        "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.",
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        "user_id": 1181593,
        "full_name": "Haris Sahmanovic",
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        "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",
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      {
        "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"
      }
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    "name": "RetailReady",
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    "team_size": 12,
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    "subindustry": "B2B -> Supply Chain and Logistics",
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      "Logistics",
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    "batch": "Winter 2024",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
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    "founders": [
      {
        "user_id": 1327498,
        "full_name": "Elle Smyth",
        "title": "Founder",
        "founder_bio": "Elle is the Co-Founder of RetailReady, which she started with Sarah Hamer. An engineering graduate from Duke University, she worked at BlackRock and Stord prior to becoming an entrepreneur. She is driven by immense curiosity and a love for solving complex problems in the supply chain industry. ",
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        "linkedin_url": "https://linkedin.com/in/ellesmyth",
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        "full_name": "Sarah Hamer",
        "title": "Founder",
        "founder_bio": "Sarah graduated as an industrial engineer from Georgia Tech, was very involved in GT's entrepreneurship community and started her career at Microsoft. After a few years she missed the crazy, fast-paced startup life, and made the switch to Stord – a unicorn supply chain software startup. It was there that she saw retail compliance pain points first hand, met her co-founder, and decided to start RetailReady.",
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        "linkedin_url": "https://linkedin.com/in/sarah-hamer-881bb6126",
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        "id": 77573,
        "title": "Full Stack Software Engineer ",
        "url": "https://www.ycombinator.com/companies/retailready/jobs/wEGXWv4-full-stack-software-engineer",
        "location": "San Francisco, CA, US",
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        "salary_range": "$110K - $170K",
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        "skills": [
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      {
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        "title": "Full Stack Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/retailready/jobs/KfkyR7c-full-stack-software-engineering-intern",
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        "id": 100511,
        "title": "Implementations",
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        "location": "San Francisco, CA, US",
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      {
        "id": 114412,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/retailready/jobs/t8UKFKF-business-development-representative",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
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        "equity_range": "0.03% - 0.08%",
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    "news": [
      {
        "title": "YC grad, RetailReady raises $3.3M for an AI warehouse app that hopes to save brands billions | TechCrunch",
        "url": "https://techcrunch.com/2024/06/12/yc-retailready-warehouse-shipping/",
        "date": "Jun 12, 2024"
      }
    ],
    "launches": [
      {
        "id": 78869,
        "title": "📦 RetailReady - Automating supply chain compliance",
        "tagline": "Digitizing warehouse processes from 100+ page manuals to a mobile app.",
        "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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        "title": "Lighthouz AI: AI to automate collections for freight brokers and 3PLs",
        "tagline": "Freight brokers and 3PLs collect what they're owed 5-8 days faster — without adding headcount to AR",
        "body": "Freight brokers and 3PLs run lean accounting teams that spend their days chasing money that's already earned. Every unpaid invoice means emailing a customer, checking a portal, following up again a week later, and manually deciding which accounts are actually at risk — work that scales linearly with headcount and doesn't get easier as a book of business grows. DSO creeps up not because customers refuse to pay, but because no one has time to chase every invoice consistently.\n\nLighthouz built Lucie, an AI collections agent purpose-built for freight finance. Lucie works customer accounts the way a best-in-class AR analyst would, just continuously and across every account at once:\n\n* Email Collections Agent — drafts and sends context-aware payment reminders and follow-ups, escalating tone as invoices age\n* Portal Collections Agent — logs into customer payment portals to check status and submit documentation, so nothing stalls waiting on a portal check\n* Collections Work Queue — surfaces the accounts that actually need a human, with full context, instead of a flat list of overdue invoices\n* AR Risk Dashboard — flags at-risk accounts early using payment-behavior signals, before they become write-offs\n\nEvery action Lucie takes is visible to the AR team, with clear ownership indicators showing what's automated and what's waiting on a person — collections teams stay in control of the relationship, they just stop doing the busywork.\n\nFounders:\n\nSrijan and Sonali are married co-founders who met at IIT during undergrad and bring 15+ years of combined AI and supply chain experience. Srijan was a CS professor at Georgia Tech, a former Google research scientist, and a Stanford postdoc with 60+ publications. Sonali spent a decade as an AI/data engineer in fintech and insurance, including at Halliburton, Progressive, and American Family.\n\nKey Metrics:\n\n* DSO reduction: 5-8 days faster to collect\n* 30%-50% reduction in overdues \n* 45% of collections touches now automated\n* One AR specialist manages 2x more accounts\n\nTraction:\n\nLighthouz already powers finance operations of 40+ freight brokers and 3PLs, including Hoplite Logistics, Southern Reins Logistics, ADL, and NAD Logistics. Lighthouz AI has won the TIA 2025 and 2026 Technovator Awards.",
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        "title": "Lighthouz AI: AI to automate AP and AR for freight brokers and 3PLs",
        "tagline": "3PLs invoice customers within 24 hours of delivery & get paid 5 days faster",
        "body": "https://www.youtube.com/watch?v=SNdu7kqN0MY\n\nFreight brokers and 3PLs still run AP and AR manually.\n\nAccounting teams spend days processing carrier bills, chasing missing PODs, delaying customer invoicing, and collections efforts. Cash flow stagnates. Before Lighthouz, teams typically take 3–5 days to approve carrier bills and send customer invoices — and still miss errors like duplicate payments and invalid accessorials.\n\n**At Lighthouz, we’ve built freight-native AI agents to automate AP and AR for brokers and 3PLs. With Lighthouz, brokers are invoicing customers within 24 hours of delivery and reduce days-to-get-paid by 5 days.** \n\n### **Who we are**\n\nWe’re **Srijan and Sonali**, the founders of **Lighthouz AI**. We’re part of YC S24. \n\nWe met a decade ago during undergrad at **IIT**, have been building together ever since, and have been married for 5+ years. Srijan and Sonali have 15+ years of combined experience in AI and supply chain, building AI systems for companies like Halliburton, The Home Depot, Google, and more. \n\n* **Srijan** an award-winning AI scientist with **60+ publications and 6,000+ citations**.  He’s been a **CS professor at Georgia Tech**, an **ex-research scientist at Google**, completed his **postdoc at Stanford**, and earned his **PhD from the University of Maryland**.\n* **Sonali** is a former **Lead AI Engineer** at **Halliburton**, **Progressive Insurance, and American Family**, specializing in **unstructured data** and building production-grade AI systems from scratch. She earned her **MS from the University of Washington**.\n\nWe’ve spent our careers building and deploying AI for complex, messy real-world data — which is exactly what freight finance looks like.\n\n### **What Lighthouz AI does**\n\nLighthouz handles the entire freight billing workflow:\n\n✅ Ingests **carrier bills, PODs, BOLs, lumpers, and invoices** from email and uploads\n\n✅ Extracts and structures **all freight data** — rates, accessorials, remit-to, signatures, handwritten notes\n\n✅ Verifies carrier bills against **rate confirmations / quotes**\n\n✅ Detects exceptions like **duplicates, overbilling, missing PODs, wrong factors, and invalid accessorials**\n\n✅ Auto-approves clean bills and routes **only true exceptions**\n\n✅ Approves and submits **customer invoices within 24 hours of delivery**\n\n✅ Sends automated **collections reminders** to customers pre- and post-due date \n\n✅ Creates a work queue for human collectors \n\n✅ Posts clean, validated data directly into the **TMS with full audit trails**\n\n### **Why this matters**\n\nManual AP/AR quietly kills cash flow in freight. Before Lighthouz, teams typically take **3–5 days** to approve carrier bills and send customer invoices — and still miss errors like duplicate payments and invalid accessorials.\n\nWith Lighthouz:\n\n* Processing time drops from **3–5 days → &lt;24 hours**\n* Days to get payment from customers reduces by 5 days \n* One AP specialist can process **4–5x more volume**\n* Errors and rework drop dramatically\n* Teams scale without adding headcount\n\nThis isn’t generic automation. Lighthouz is freight-native, built for multi-stop loads, multi-document PDFs, missing pages, rotated scans, handwritten notes, and factoring response workflows.\n\n### **Where we are**\n\nWe are already working with leading freight brokers and 3PLs in the US and Canada. \n\n**Ask** ❤️\n\nIf you know freight brokers or 3PLs, please introduce us!",
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        "founder_bio": "Jason is the founder and CEO of Distro, the all-in-one AI co-pilot for counter staff and inside sales at industrial wholesale distributors. He is a repeat founder, having previously co-founded Vested. Before Vested, he was CTO at Elementus, Tech Lead at Coatue, and Senior Software Engineer at PeerIQ. In a prior life, Jason was a credit derivatives trader.\n\nJason holds an MS in Computer Science from Stanford and a BA in Cognitive Science from Yale.",
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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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        "created_at": "2024-05-20T15:06:08.115Z"
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    "team_size": 6,
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    "launched_at": 1721748598,
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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",
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        "votes": 84,
        "created_at": "2024-08-27T14:42:52.309Z"
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        "full_name": "Geoffrey Negiar",
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        "full_name": "Joachim Fainberg",
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        "title": "Founding Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/the-forecasting-company/jobs/cXJzAhA-founding-machine-learning-engineer",
        "location": "Paris, France",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "€80 - €130 EUR",
        "equity_range": "0.50% - 2.00%",
        "experience": "3+ years",
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      {
        "id": 82635,
        "title": "The Forecasting Company: Foundation models for time series",
        "tagline": "Easy and accurate forecasts for navigating an uncertain world",
        "body": "**tl;dr:** The same core technology that led to the LLM explosion can be adapted to build accurate and easy to use time series models. We’re building the enterprise-grade, plug and play forecasting systems of tomorrow. [Talk to us](https://mailto:founders@theforecastingcompany.com) if you have forecasting and planning use-cases!\n\n\\\nHi everyone, we’re Geoff and Joachim. We’ve built ML and forecasting systems at Amazon, Google, Bloomberg LP, JP Morgan, and Sonos. We’re The Forecasting Company!\n\n### Problem 📉\n\n* Existing time-series forecasting solutions produce **unreliable predictions** with sometimes catastrophic results - they have a hard time handling activity spikes like Black Friday.\n* Developing and maintaining useful forecasting and planning models requires **large and costly teams** of data scientists and domain experts.\n* Data science teams are backlogged, leaving operators **waiting for months** before a use-case to be put into production.\n\n### Solution 📈\n\n* **An easy to use, flexible and accurate forecasting system. No training required!**\n* A **massive training dataset of time-stamped data** from many industries and domains (energy, transportation, etc.).\n* A forecasting model that can leverage **user-provided input variables** or our own **curated data streams**.\n\n### What we’re forecasting these days\n\n# Bacteria levels in the Seine 🦠 🏊‍♂️\n\n![uploaded image](/media/?type=post&id=82635&key=user_uploads/1325636/a0b74e9b-3289-4b05-aa4d-78ea52ef10d0)\n\nOur forecasts show that swimmers lucked out today 🍀!\\\n(Data provided courtesy of the [Fluidion Open Data Initiative)](https://fluidion.com/open-data-initiative/2024-seine-water-quality)\n\n### Ask\n\n* If you have forecasting problems in-house, or know of someone who does, **please reach out - we’d love to help!**\n* **Try our sandbox model** on [www.theforecastingcompany.com](http://www.theforecastingcompany.com) and let us know what you think\\\n  [founders@theforecastingcompany.com](mailto:founders@theforecastingcompany.com)",
        "url": "https://www.ycombinator.com/launches/LUp-the-forecasting-company-foundation-models-for-time-series",
        "votes": 68,
        "created_at": "2024-08-01T14:17:31.991Z"
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    "name": "Cartage",
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    "primary_partner": {
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      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
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        "full_name": "Abdul Basharat",
        "title": "Founder/CEO",
        "founder_bio": "Abdul is cofounder and CEO of Cartage. He started his career training as a military pilot.  He was the product lead for network and PLG at Rose Rocket (YC S16 trucking ERP) and helped Pathstream launch a B2B platform from 0-1. Prior to tech he worked in management consulting. ",
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        "full_name": "Josh Lampen",
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        "founder_bio": "Josh is cofounder and CTO of Cartage. At Rose Rocket (YC S16 trucking ERP), he was a founding engineer on their Platform team, where he led the development of their first workflow engine. He was also an engineer at Together (YC S19). Prior to tech, Josh was a management consultant, and played water polo for Canada's National Team.",
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        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/cartage/jobs/1QP2BxS-sales-development-representative",
        "location": "San Francisco, CA, US",
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        "role_type": null,
        "salary_range": "$60K - $90K",
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        "url": "https://www.ycombinator.com/companies/cartage/jobs/u04pgWD-autonomy-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
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        "id": 116077,
        "title": "Growth Lead",
        "url": "https://www.ycombinator.com/companies/cartage/jobs/zRsevOC-growth-lead",
        "location": "Vancouver, BC, CA / Vancouver, British Columbia, CA / San Francisco, CA, US / Remote (US)",
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        "role_type": null,
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        "equity_range": "0.20% - 0.60%",
        "experience": "3+ years",
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        "title": "Cartage secures $3.3M to support shippers and carriers with automation - FreightWaves",
        "url": "https://www.freightwaves.com/news/cartage-secures-3-3m-to-support-shippers-and-carriers-with-automation",
        "date": "Oct 10, 2024"
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    "launches": [
      {
        "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",
        "url": "https://www.ycombinator.com/launches/Lgg-cartage-autonomous-freight-operations",
        "votes": 47,
        "created_at": "2024-08-24T19:24:05.802Z"
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    "id": 29814,
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    "long_description": "Vendra makes it faster and easier to get custom parts manufactured in America. \r\n\r\nSubmit one RFQ and Vendra turns your technical requirements into custom manufactured parts - routing work through qualified US suppliers, gathering competitive quotes, and managing production through delivery.\r\n\r\nWe're ITAR registered and manufacture parts for American aerospace and defense leaders. Customers include Anduril, Mach Industries, Relativity Space, Castelion, and Planet Labs.\r\n\r\nSubmit an RFQ at www.vendra.io to get started today!",
    "one_liner": "Custom Parts, Manufactured in America 🇺🇸",
    "team_size": 10,
    "industry": "Industrials",
    "subindustry": "Industrials -> Manufacturing and Robotics",
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      "Supply Chain",
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/vendra.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/vendra-hq/",
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      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
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    "founders": [
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        "user_id": 914508,
        "full_name": "Shan Mohta",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Vendra. I'll help you get parts manufactured in America. I also built cool hardware at Skydio, Apple, & Microsoft.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/shanmohta/",
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      {
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        "full_name": "Anish Bhardwaj",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Vendra. I build software.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/anish-b-00109695/",
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        "title": "Mechanical Engineer",
        "url": "https://www.ycombinator.com/companies/vendra/jobs/wdHYZmT-mechanical-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Mechanical",
        "salary_range": "$100K - $120K",
        "equity_range": "0.05% - 0.20%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "title": "Supply Chain Manager",
        "url": "https://www.ycombinator.com/companies/vendra/jobs/TNILqFi-supply-chain-manager",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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      },
      {
        "id": 111490,
        "title": "Cloud Infrastructure & Security Engineer",
        "url": "https://www.ycombinator.com/companies/vendra/jobs/3z2bFVm-cloud-infrastructure-security-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $150K",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 111491,
        "title": "Full Stack Engineer ",
        "url": "https://www.ycombinator.com/companies/vendra/jobs/pi7IbS4-full-stack-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$100K - $140K",
        "equity_range": "0.05% - 0.25%",
        "experience": "1+ years",
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      {
        "id": 88957,
        "title": "Vendra - Custom Parts, Manufactured in America 🇺🇸",
        "tagline": "Vendra brings you fast quotes, rapid production, and direct access to US manufacturers ready to build your parts.",
        "body": "Hi YC, we’re [Anish](https://www.linkedin.com/in/anish-bhardwaj-00109695/) and [Shan](https://www.linkedin.com/in/shanmohta/) from Vendra!\n\n### **TL;DR**\n\n**Vendra is the best way to manufacture custom parts in the US, beating legacy platforms like Xometry and Protolabs at their own game.**\n\n[**Submit an RFQ today**](https://vendra-marketplace.io/) **to get fast quotes, short lead times, and experience the difference yourself. 🚀**\n\n<https://www.youtube.com/watch?v=EgyZNkBfHLQ>\n\n# **THE PROBLEM**\n\nManufacturing is coming back to America, but getting your parts made is still a frustrating process. Existing platforms (like Xometry and Protolabs) hide suppliers from you, mark up your parts, and give you minimal control and flexibility.\n\nAlternately, you do a bunch of manual outreach to find suppliers, check if they have production capacity, see if they have the right equipment, can provide a quote quickly, can meet your tolerances and finish, follow-up a bunch of times, etc… Whichever option you use today - it sucks.\n\n# **THE SOLUTION**\n\nJust submit ONE RFQ on Vendra - **_that’s literally it._**\n\nWe match your parts to US manufacturers who meet your exact specs and automate all the manual sourcing steps. You receive multiple competitive quotes and lead times, collaborate directly with suppliers on design and manufacturing details, and choose exactly who builds your parts.\n\n![uploaded image](/media/?type=post&id=88957&key=user_uploads/914508/a65ec6d6-69cd-4490-a8f9-8089c0a00ef4)\n\nWe’re the **_only platform_** optimized for real-time production capacity. Need parts machined on a 5-axis CNC or printed on a large-format SLS printer? We’ll connect you exclusively with suppliers who have that exact equipment available immediately - **_so you get fast quotes and even faster production._**\n\nWe’re already trusted by Apple, Skydio, and leading aerospace and hard-tech startups. **_Our automation and capacity optimization have saved them up to 40% on part cost and cut lead times in half_** compared to legacy platforms.\n\n# **THE ASK**\n\n* Need parts made? [Submit an RFQ!](https://vendra-marketplace.io/)\n* Know someone who needs parts made? Send them this post or tell them to [submit an RFQ!](https://vendra-marketplace.io/)\n* Follow us on [LinkedIn](https://www.linkedin.com/company/vendra-hq/) and [X!](https://x.com/vendraHQ) Oh, and [SUBMIT AN RFQ!](https://vendra-marketplace.io/)\n\n![uploaded image](/media/?type=post&id=88957&key=user_uploads/914508/6c2e372e-651b-40e6-930d-96193dfb5e26)\n\n",
        "url": "https://www.ycombinator.com/launches/N8n-vendra-custom-parts-manufactured-in-america",
        "votes": 284,
        "created_at": "2025-03-25T16:40:06.168Z"
      },
      {
        "id": 83256,
        "title": "Vendra - AI vendor and project management for hardware teams",
        "tagline": "We use AI to help hardware teams manage projects, files, and more with their vendors and suppliers - all with no change to their existing workflows",
        "body": "### TL;DR\n\n* Hardware engineers **_should_** spend their time building cool products, but they **_actually_** spend their time dealing with vendors and doing non-engineering work (digging through emails, searching for files, updating spreadsheets, etc.)\n* Traditional project management solutions don’t really work in hardware, and vendor communications inevitably revert to emails/text messages/WeChat/etc.\n* Vendra uses AI to understand these vendor communications, giving hardware teams modern project management and instant information lookup with almost no change to their existing workflow\n* We offer solutions to hardware teams at all stages - [book a demo today!](https://calendly.com/vendra-shan/30-minute-vendra-chat)\n\n### The Team\n\nWe’re [Shan](https://www.linkedin.com/in/shanmohta/) and [Anish](https://www.linkedin.com/in/anish-b-00109695/)! We’ve known each other since childhood when our parents moved from India to the same apartment complex in Santa Clara. Between us, we’ve built a lot of cool hardware (cameras for autonomous drones, AR/MR headsets) and cool software (ML for satellites, AI for the shipping industry).\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/f65f0c3b-ceef-4c41-b76f-0ded74c39615)\n\n### The Problem\n\nAs a former hardware engineer, Shan experienced the challenges of managing complex projects across a network of vendors, suppliers, and manufacturers. He saw hardware teams struggle to use traditional project management solutions with vendors because of the unstructured nature of projects and communications, security and access issues, and difficulties in the adoption of new processes. The workflow inevitably defaulted to emails, text messages, WeChat, etc., often leading to misplacement of crucial information.\n\nA 2021 report revealed that 70% of engineers still use email for external collaboration, struggling to track critical information across teams. 94% of engineers want faster access to data, and 29% often work with outdated information, leading to costly delays, reworks, and longer time to market.\n\nWe’re building Vendra to change that.\n\n### The Solution\n\n**Vendra uses AI to bring a smart project management suite and file repository to hardware teams working with vendors and suppliers - all with no change to existing workflows.**\n\nSimply connect Vendra to your email/WeChat/WhatsApp/Slack (or cc it to your conversations and threads):\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/0497419e-34ee-4f22-8f08-e15331533c4c)\n\nVendra automatically contextualizes your emails/messages/files and generates key takeaways like project and conversation summaries, open items, blockers, tasks, etc. It also creates a smart file directory so you never have to go digging through emails or attachments ever again.\n\nEasily access all this information from anywhere through our SlackBot, GPT-like chat interface, or web-based dashboard:\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/ad310c5b-4582-4e07-9e43-1bbaf6691b37)\n\nYou can ask Vendra AI things like\n\n* ‘Show me all the quotes and lead times we got from vendors for the upper bracket machining in the past month’\n* ‘What are all the open items for the enclosure injection molding tooling?’\n* ‘Pull up the RF module datasheet the supplier sent me last week’\n* And so much more!\n\nFor teams looking for 2-way external collaboration, we also offer VendraPM - a secure end-to-end platform to onboard your vendors and work together across projects and tasks. Features like secure file sharing, document revision control, and AI-enabled language translation make external work easier than ever:\n\n![uploaded image](/media/?type=post&id=83256&key=user_uploads/914508/850d8b2a-133f-492b-a346-3f441932ab20)\n\n### The Ask\n\n* If you work in hardware, [book a demo today!](https://calendly.com/vendra-shan/30-minute-vendra-chat)\n* We also love warm intros to folks in hardware - if you know anyone working in (or around) hardware, we’d love to chat with them to understand their workflow and see how we can help!\n* Follow us on [LinkedIn](https://www.linkedin.com/company/vendra-hq/) and [X!](https://x.com/vendraHQ)",
        "url": "https://www.ycombinator.com/launches/Leq-vendra-ai-vendor-and-project-management-for-hardware-teams",
        "votes": 1024,
        "created_at": "2024-08-23T15:30:21.401Z"
      }
    ]
  },
  {
    "id": 29853,
    "name": "No Logo",
    "slug": "no-logo",
    "former_names": [
      "Terra Labs",
      "Terra"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5b06eac03359187ea4b158a471d8bc4ecb6c046.png",
    "website": "https://nologo.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "No Logo is building the orchestration layer for creating viral consumer products. The manufacturing world is full of capable, underutilized overseas factories with the machines, tooling, and engineers to build winning products – but no way to connect them to the creators and brands with the ideas and distribution. As a result, bringing a new product to market has traditionally taken 6-12 months, tens of thousands of dollars, and a team of 20-30 people.\r\n\r\nNo Logo collapses that. Using generative AI, we take a creator's product idea, visualize it, break it into core components and manufacturing processes, and match each step to the right factory in our network – turning an idea into a shippable product in just a few weeks.",
    "one_liner": "Turn ideas into physical products",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1720474111,
    "tags": [
      "Consumer",
      "Manufacturing",
      "E-commerce",
      "Supply Chain",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Supply Chain and Logistics"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
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        "id": 103396,
        "title": "No Logo: Turn any idea into a real, manufactured product",
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        "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",
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        "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",
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        "created_at": "2024-08-30T04:18:41.909Z"
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    "long_description": "Vortexify is an AI app builder for full-stack, internal business apps. Businesses such as manufacturers, hospitals and logistics services use Vortexify to solve complex, operational problems such as scheduling, process optimization, forecasting, root cause analysis and scenario planning.\r\n\r\nOur agents encode business logic by mapping operational problems to the data in your systems and collaborating with domain experts. Operations teams can build apps without writing code. Engineering teams can edit and manage agent written code at any time.\r\n\r\nVortexify builds applications beyond simple dashboards with native support for databases, scheduled tasks, optimization solvers, machine learning models, data pipelines, API calls and more. Our secure, managed infrastructure enables our agents to build quickly and get it right the first time.\r\n\r\nSolve your hardest operations problems today! Create a free account to get started. For additional technical services or support, contact us or book a demo.",
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        "title": "Praxis AI - Reasoning Agents Fine-Tuned for Manufacturing",
        "tagline": "Meet Praxis AI, the platform made to eliminate fire-fighting for manufacturing engineers",
        "body": "# TL;DR\n\nPraxis AI builds manufacturing-specific agents capable of reasoning and processing complex situations. Our engineering copilot predicts and prevents machine failures in real-time by solving problems the same way an engineer would. This results in proactive maintenance which helps prevent unplanned downtimes and quality defects.\n\n[Launch Video](https://www.youtube.com/watch?v=qJ41WG_X8pw):\n\n# The Problem\n\nWe have over 10 years of experience working in the manufacturing industry between the two of us. During that time we have noticed that manufacturing engineers are constantly being pulled in every direction due to production issues popping up in multiple parts of the plant. \n\nThis reactive approach results in:\n\n* Large amounts of unplanned downtime, resulting in lost throughput\n* Unnecessary wear and tear on expensive manufacturing machinery\n* Quality defects requiring non-value add rework prior to customer delivery\n\nFrom unplanned downtimes alone, US manufacturers lose over **$50 billion dollars per year**. \\\n\\\nUnfortunately, existing solutions are:\n\n* Complex and required large amounts of data science/computer science knowledge\n* Focused on dashboarding and KPI metrics\n* Extremely costly to implement and maintain\n* Not tailored for manufacturing use cases\n\n# The Solution\n\nPraxis AI provides manufacturing engineers with an end-to-end solution for identifying and root-causing machine issues by following a 5-step reasoning process. This mimics exactly how an engineer would solve an issue in the real world. Our platforms core competencies include:\n\n1. **SOTA AI architectures for manufacturing** - Our models have been specifically designed to work with time series data coming from the manufacturing shop floor.\n2. **No code tools for manufacturing engineers** - The Praxis AI platform can be used without ever touching a Jupyter notebook.\n3. **Explainable AI for root cause analysis** - Our UI gives users full visibility into the reasoning behind the output of our models, and our copilot Max.e.\n4. **Operationalized machine learning models** - Praxis ensures that every model that is built is able to be utilized every single day to drive actual changes on the shop-floor. It's not just a pretty dashboard to look at.\n\nThe Praxis platform provides the tools needed for engineers to make changes on their shop-floor which can lead to reductions in unplanned downtimes, reduced scrap/waste, improvements on the efficiency of their machines, and so much more. We’ve built the platform in a way that as we continue to work with more customers, we will be able to encompass more and more use cases. We’ve already begun preliminary work on adding production order optimization and maintenance backlog management to our solution suite. \n\n# The Team\n\n![uploaded image](/media/?type=post&id=85869&key=user_uploads/2229645/e65c1855-0e3c-4b5a-9014-22f633580153)\n\nWe have been working in the manufacturing industry for our entire professional career, and are extremely passionate about being on the cutting edge of manufacturing technology.\n\nRansika has worked at multiple manufacturing companies like GM, Tesla, and Rockwell Automation. During this time he has worked a variety of foundational manufacturing roles like manufacturing engineer, quality engineer, controls engineer, and production planner. During this time he managed multiple projects building and implementing various digital manufacturing projects globally which resulted in millions of dollars in cost savings per year. For the last two years he has been working at Deloitte as a product lead for Deloitte’s Intelligent Ops platform.\n\nAditya worked at Palantir for three years, ending his career there as a technical lead. During this time he specialized in converting pilots in the manufacturing vertical with a 100% success rate and a TCV of over $15 million dollars. Aditya has had a passion for ML/AI in manufacturing since early college, first excelling in the space by building a predictive model for General Motors and winning first in a data challenge of over 50 teams of PhD and masters students.\n\n# Our Ask\n\nIf you are interested in testing our solution out, we would love to be in touch to do a free factory assessment! We are looking to test our solution in a variety of different manufacturing environments, but have a particular affinity to continuous processes that can be found at paper mills, oil refineries, and chemical plants. Feel free to reach out at [founders@praxis-tech.ai](mailto:founders@praxis-tech.ai). Thanks!",
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    "all_locations": "San Francisco, CA, USA",
    "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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    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1738095823,
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        "full_name": "Pushkar Lanka",
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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)",
        "url": "https://www.ycombinator.com/launches/Myd-vora-ai-recruiter-for-hiring-managers",
        "votes": 23,
        "created_at": "2025-03-07T17:07:48.578Z"
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    "id": 30418,
    "name": "Kanava AI",
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    "website": "https://kanava.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Distributors face a shrinking workforce and rising call volume.\r\n\r\nKanava AI builds voice-based agents that act like junior sales reps — starting with routine inbound calls, stock and price checks, field note logging, and CRM updates using live ERP data.\r\n\r\nAs the system learns from top reps and real workflows, it levels up: managing full sales calls, surfacing upsells, coaching teams, and reactivating dormant accounts.\r\n\r\nWe help distributors scale sales output without adding headcount — by automating the work reps shouldn’t be doing in the first place.",
    "one_liner": "Your First AI Sales Hire for Wholesale Distributors",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1747765211,
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    "url": "https://www.ycombinator.com/companies/kanava-ai",
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        "full_name": "Smit Dagli",
        "title": "Founder",
        "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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      {
        "user_id": 2491961,
        "full_name": "Vikhyath Mondreti",
        "title": "Founder",
        "founder_bio": "Interested in voice agents and selling software to traditional businesses. Founder at Kanava AI.",
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      {
        "id": 90571,
        "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": 30540,
    "name": "Lumari",
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    "website": "https://www.lumari.ai/",
    "all_locations": "San Francisco, CA, USA",
    "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/",
    "one_liner": "AI Digital Workers for Supply Chain ",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1747084472,
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        "full_name": "Eshani Mehta",
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        "founder_bio": "Co-founder @ Lumari, re-imagining the future of supply chain. Ex-Stripe engineer.",
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        "full_name": "Sam Lamba",
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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",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "id": 92320,
        "title": "Former Founders",
        "url": "https://www.ycombinator.com/companies/lumari/jobs/XuEG5NT-former-founders",
        "location": "San Francisco, CA, US",
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        "id": 93602,
        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/lumari/jobs/y8Reyou-founding-forward-deployed-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $170K",
        "equity_range": "0.25% - 3.00%",
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        "visa": "US citizen/visa only",
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      {
        "id": 90564,
        "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",
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    "id": 30598,
    "name": "GETASAP",
    "slug": "getasap",
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    "website": "https://www.getasap.us",
    "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,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1755567142,
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        "user_id": 2775202,
        "full_name": "Raghav Arora",
        "title": "Founder/CEO",
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        "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. ",
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        "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.",
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        "title": "DeepAware - Automation for next-gen AI data centers",
        "tagline": "AI-driven automation that makes any data center as secure, efficient, and adaptive as Google’s or Amazon’s.",
        "body": "## **DeepAware - Automation for next-gen AI data centers**\n\n👋 Hello world! Are you ready to embrace a much more efficient AI infrastructure? Check out [DeepAware](http://deepawareai.com/) / [LinkedIn](https://www.linkedin.com/company/deepaware/):\n\nhttps://youtu.be/mywozPhOAnA\n\nTL;DR\n\n1. DeepAware AI brings Google- and Amazon-level technology to any data center, making them more secure, efficient, and autonomous.\n2. Our reinforcement learning scheduler, real-time market integration, and robotics cut energy waste by up to 30% while ensuring 24/7 uptime.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/4188b3ad-71bd-4af7-a52d-eac733f67211)\n\n**Problem**\n\n1. With AI workloads surging, the data center industry is booming—global capacity is expanding rapidly, and the market is projected to hit **$1 trillion by 2030**\n2. Data centers waste 20–30% of energy due to siloed tooling and manual controls.\n3. Hyperscalers like Google and Amazon solve this with custom AI, but mid-market operators lack access to those technologies.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/c08c6a9b-22d9-4ffa-830a-c828ce7597a5)\n\n**Solution**\\\nDeepAware brings Google- and Amazon-grade AI controls to any data center:\n\n1. **RL Scheduler** optimizes GPU workload placement for power, performance, and cost.\n2. **Real-Time Market Integration** shifts workloads to low-price windows and supports demand-response programs.\n3. **Unified Dashboard** for one-click policy tuning, automated alerts, and “what-if” scenario testing.\n4. **Autonomous Robotics (coming soon)** for remote “robot hand” inspections, cable swaps, and maintenance—enabling 24/7 physical operations with minimal on-site staff.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeWFdq7APkR0uqewAgWtXeKANKr7EDV1KIz0diikWoGKDlTmA6bqIP_-8vNP0V4Fp9d0il-oEnk8u4uCkO_usPJd4xVHtCOifCEAgMO4muD-Dh7s_sFDGyNnR8YeClKD71vLBoOeA?key=Ok6o8HSu--upaY5wBSe41Q)\n\n**Our Team:** \n\n1. We are both second-time founders. We spent 3 years together building our first company providing second-level energy optimization for dozens of factory.\n\n**Traction:**\n\n1. **6-digit agreement** with a major 30 MW+ data center operator to use our system.\n2. **Simulation results** show 15% energy savings.\n3. **Industry validated** through Green AI Summits at Harvard with industry leaders from Oracle and Meta AI.\n\n**Ask:\\\nWe’re looking for:**\n\n1. **Data center operators** (and people in the AI infra sector) interested in piloting AI-driven optimization.\n2. **AI/ML researchers** tackling real-world control problems.\n\nGot feedback or want to pilot? Reach out: 👉 [jerry@deepawareai.com](mailto:jerry@deepawareai.com) or [LinkedIn](https://www.linkedin.com/in/jerryh01/) visit http://deepawareai.com/.\n\n![uploaded image](/media/?type=post&id=92985&key=user_uploads/2760576/03fe5788-d736-48c7-83f3-98bf11b31fca)\n\n",
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    "all_locations": "Olathe, KS, USA",
    "long_description": "Rebulk builds AI-native software for rail, transload, and bulk operations. We help teams manage railcars and trucks, transloading, maintenance, yard switching, railcar tracking, bulk inventory, documents, customer reporting, and billing.\r\n\r\nMuch of this work still runs on spreadsheets, paper tickets, phone calls, and disconnected legacy systems. That means teams spend too much time entering the same information twice, tracking down paperwork, figuring out where railcars and inventory are, and putting together reports by hand. Rebulk brings that work into modern software built around how each business actually operates.\r\n\r\nWe’ve lived this problem, and we know how to build for it. Warren previously led product at a Series A supply chain software startup, where he worked closely with companies moving and managing bulk commodities. Cole was engineer #3 at Tropic, helping scale it from seed to Series B, and later led engineering at an AI startup.\r\n\r\nRebulk runs operations at Venezia Transport, Usher Transport, Cicada Logistics, McDonald Farms, and TransloadX across transloading, rail maintenance, switching, railcar tracking, and bulk inventory.",
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        "full_name": "Warren Wijaya Wang",
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        "full_name": "Cole Robertson",
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        "id": 92243,
        "title": "Rebulk - Accurately measure and monitor bulk inventory",
        "tagline": "We turn your bulk inventory into accurate 3D visualizations so you know exactly what’s on the ground and what's happening to it",
        "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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        "created_at": "2025-07-17T17:45:34.353Z"
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    "all_locations": "New York City, NY, USA",
    "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",
        "title": "Founder/COO",
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        "location": "New York, NY, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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        "url": "https://www.ycombinator.com/companies/fleetline/jobs/az5DIjt-founding-algorithm-developer",
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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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        "votes": 30,
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    "id": 30801,
    "name": "burnt",
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    "website": "https://getburnt.ai/",
    "all_locations": "San Francisco, CA, USA",
    "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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    "team_size": 3,
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        "full_name": "Joseph Jacob",
        "title": "Founder/CEO",
        "founder_bio": "Spent my whole career in food supply chain, intimately understanding the pain points at each step of the supply chain. Now we're reinventing the fundamental technical infrastructure that the industry is run on. ",
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        "founder_bio": "Product at burnt! Creativity is my jam, details matter to me, and I’m all about understanding how people in food relate to technology.",
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        "url": "https://www.ycombinator.com/companies/burnt/jobs/ye39lFB-founding-engineer",
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        "title": "Steph Curry's VC firm just backed an AI startup that wants to fix food supply chains | TechCrunch",
        "url": "https://techcrunch.com/2025/09/25/steph-currys-vc-firm-just-backed-an-ai-startup-that-wants-to-fix-food-supply-chains/",
        "date": "Sep 25, 2025"
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      {
        "id": 92977,
        "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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        "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",
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        "full_name": "Benjamin Martindale",
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        "founder_bio": "Grew up in his family's importing business in Toronto. Advised Chinese heavy-machinery giants on selling into the West and ran a Wuhan office in Mandarin. Featured on Mango TV, one of China's largest broadcasters: factory-floor segments and a named 13-minute profile. Founded a Toronto marketing company: $4M of construction deals closed in six months. Finance at Rotman, UofT, one credit short.",
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        "full_name": "Minghao Tan",
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        "founder_bio": "Co-founder & CTO. Donkey buys factory-direct in China and sells delivered to US importers. Customs records are public. We read them, flag the trading company markup, and quote the same parts straight from the factory that makes them. QC on the floor before the factory gets paid.\nI build the data side: parsing raw customs filings, separating real factories from shells and forwarders, and the software the whole trade runs on. \ndonkey.trade",
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        "tagline": "The AI-native trading company: factory prices, delivered, one number.",
        "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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        "id": 109233,
        "title": "Shielded: The company brain for supply chain risk",
        "tagline": "Shielded helps manufacturers understand and act on supply chain risk in real time.",
        "body": "Shielded helps manufacturers understand and act on supply chain risk in real time.\n\nAs the world has become more volatile, businesses need a tool to monitor events and rapidly take action. Founder James Simon saw this problem first hand in commodities trading, in fact his whole job was to take advantage of other firms reacting too slowly as the world changed. \n\nThat’s what inspired him to build Shielded, as an intelligence layer that integrates quickly, deeply understands your specific business, and turns volatility into clear, proactive decisions.\n\nShielded supports critical part and supplier management for leading defense companies, ingredient price audits for multinational CPG firms, and tariff impact analysis for global manufacturers.\n\nWith API, MCP, BOM, and spreadsheet integrations, every customer deployment to date has taken less than 72 hours.\n\nInstead of simply receiving an alert when something happens, Shielded gives procurement, finance, and supply chain teams company-specific guidance on the impacts of external events, market shifts, and regulation changes, and recommends the right operational or hedging responses.\n\nShielded is your supply chain’s command center that never sleeps.\n\n<https://youtu.be/KM70oNA-5fQ>",
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        "full_name": "Kaya Celebi",
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        "full_name": "Erim Gurlemis",
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        "founder_bio": "Founder at GUILD. Previously Associate in the Global Investment Office at Morgan Stanley, where he worked on wealth management development and engagement . BA in Biological Studies from Rutgers University.",
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      {
        "id": 109739,
        "title": "GUILD - New Generation of Defense Contractor",
        "tagline": "Making aerospace and naval parts faster and cheaper for defense",
        "body": "Hey everyone 🙂 - we’re [@Kaya Celebi](https://bookface.ycombinator.com/user/3161464) and [@Erim Gurlemis](https://bookface.ycombinator.com/user/3163115) , co-founders of [@GUILD](https://bookface.ycombinator.com/company/32194) .\n\n**TL;DR**\n\n[@GUILD](https://bookface.ycombinator.com/company/32194) **is an AI-native defense contractor making aerospace parts faster and cheaper than today’s supply chain**. We win government contracts, turn technical requirements into production-ready workflows, and execute through factory integrations that eliminate the weeks normally lost between RFQ and factory floor. <https://guildai.co>\n\n![uploaded image](/media/?type=post&id=109739&key=user_uploads/3161464/3cf82073-c0e0-4c42-8d2b-d4fab3e159ca)\n\nWe’re building GUILD in two connected motions:\n\n* First, we win and execute government manufacturing contracts directly.\n* Second, we help defense hardware companies turn designs, technical packages, and supply-chain requirements into executable procurement and production workflows.\n\nIn both cases, the goal is the same: move from technical requirements to manufactured parts faster, with less cost and less operational drag.\n\n**THE PROBLEM**\n\nGovernment contracting is fragmented, overcomplicated, and inaccessible. That makes defense manufacturing slower and more expensive than it should be.\n\nThe government waits too long and pays too much for parts the country already knows how to make. Meanwhile, the supplier base is shrinking: DoW’s reported in 2023 that small-business participation in the defense industrial base has fallen by over 40% in the last decade.\n\n**Less competition means fewer options, higher prices, weaker supply chains, and more critical work stuck before it ever reaches a production floor.** \n\n**THE CAUSE**\n\nThe defense supply chain is not wired together. Government demand, technical requirements, manufacturer capability, financial markets, and execution data all live in different places, so every contract becomes a manual search problem - stuck in PDFs, portals, spreadsheets, and domain knowledge.\n\nThe hard part is not finding government opportunities. Anyone can have Claude build a scrape-bot for [SAM.gov](http://SAM.gov) and call it a pipeline. **The hard part is turning messy technical requirements into a manufacturing decision, then executing the work.**\n\nThis favors large incumbents who can throw teams of people at the problem. Smaller manufacturers usually cannot. They either spend weeks decoding the package, price in too much risk, miss the timing, or never enter the market at all.\n\n**OUR APPROACH**\n\n**GUILD is the prime contractor**, not a marketplace or lead-gen layer for manufacturers. We win government work directly. We break the technical package into the operational steps required to produce and deliver the part. Then we execute.\n\n**The core of this is our company brain: a structural ontology of defense manufacturing.**\n\nAI-native, to us, means the company documents and learns from its own execution. Every artifact around a contract - requirements, quotes, supplier interactions, decisions, awards, workflows, and deliveries - becomes structured memory. Our agents traverse that graph to understand what a part is, how it can be made, what it should cost, and what needs to happen next.\n\nThe company brain compounds. Every bid makes the next bid smarter. Every factory handoff improves the next handoff. Every delivery teaches the system what actually happened, not just what the plan said. That is what lets us move from document parsing to execution as the contractor responsible for the work.\n\n**WHAT WE’VE BUILT**\n\nWe’ve built the company brain that turns technical packages into executable manufacturing workflows. It ingests messy contract packages, understands the requirements, prices work against known factory capability, generates the production path, and keeps improving as new parts, factories, and outcomes enter the system.\n\nThis is not a hard-coded set of workflows. The system helps us build and refine new workflows as it observes more of the defense manufacturing knowledge space. GUILD Forge is the interface for this: a procurement and production planning system for defense companies that need to move from technical design to supply-chain execution.\n\n**WHAT WE MAKE**\n\nOur current focus is aerospace precision metals. That includes jet and engine components, structural and wing-adjacent parts, housings, brackets, fittings, retainers, and the simple but critical hardware that sits inside larger aerospace systems.\n\nThese parts are not always glamorous, but they are everywhere. When their supply chain is slow, expensive, or opaque, the larger programs above them slow down too.\n\n**THE TEAM**\n\n![uploaded image](/media/?type=post&id=109739&key=user_uploads/3161464/9f3944e0-0a34-426b-a920-033542ce928f)\n\nKaya has an MS in Computer Science from Columbia and studied CS + Statistics at Duke. His background is in ML research, AI modernization, and quant work: he worked on AI modernization and quantitative systems at Morgan Stanley, and later led an AI team at hedge fund Hartree Partners. Coming into defense from the outside forced him to learn the industry from first principles and turn that learning into GUILD's technical architecture.\n\nErim studied Biological Sciences at Rutgers University, where he conducted research on metabolism before working in pharma consulting supporting oncology research. He then pivoted into finance at Morgan Stanley. There, he led full-scale AI implementation for Wealth Management &amp; Advisory. At GUILD, he turns the messy reality of defense manufacturing, supplier coordination, pricing and execution into operating requirements our system can handle.\n\n**THE ASK**\n\nWe’d love intros to defense companies that need better access to procurement, people with government or program connections, and teams dealing with supply-chain pain around technical packages, suppliers, compliance, packaging, or delivery.\n\nWe’re especially interested in meeting defense hardware companies, aerospace manufacturers, primes, and manufacturers with end-to-end automation capability - the kind of partners where GUILD can integrate directly into the factory operating layer, not just send PDFs back and forth.\n\nEmail us at [founders@guildai.co](mailto:founder@guildai.co) or visit <https://guildai.co>.\n\n\\-  Kaya + Erim 🧿",
        "url": "https://www.ycombinator.com/launches/SXz-guild-new-generation-of-defense-contractor",
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        "created_at": "2026-08-08T17:00:00.905Z"
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        "full_name": "Nicolas Yeh",
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        "title": "Manifold - Robotic labor for the supply chain industry",
        "tagline": "Robotic labor for the supply chain industry",
        "body": "**What if you could hire a robot the same way you hire a temp worker?** \n\nNick grew up working in his family’s 3rd-generation distribution business, where he saw firsthand how much warehouses still depend on manual labor. The obvious answer should have been robotics, but for true labor replacement, existing robots were too expensive, inflexible, and difficult to deploy. As a result, most warehouses still say they’re “not ready” for automation.\n\nNick came together with his best friend Josh, a fellow UPenn alum and PhD at Caltech specializing in safety-critical control for robotics, to solve this problem.\n\nManifold is building robotic labor for the supply chain industry. Its robots perform picking jobs from start to finish faster than humans, with no upfront cost or infrastructure changes. Customers simply pay per pick, at a cost below human labor.\n\nThey’re already deploying robots to perform more than **5 million picks across multiple warehouses.**\n\nIf you’re a warehouse operator, reach out to [nick@manifoldindustries.ai](mailto:nick@manifoldindustries.ai)\n\n<https://youtu.be/jU_UI0pHpBc>",
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        "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)",
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        "created_at": "2026-07-16T14:54:16.399Z"
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        "full_name": "Alina Park",
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        "title": "Ekho Labs - Forecasting Supply Chain Disruptions",
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        "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>",
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        "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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    "name": "SpaceFlow Technologies, Inc.",
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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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        "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/)",
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