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        "id": 83240,
        "title": "Rastro: Your personal interior designer",
        "tagline": "Find beautiful objects for your home, at no extra cost.",
        "body": "# Should it cost you 50k to decorate your home?\n\nDecorating your home? You have 2 choices: hire an interior designer for $50k, or spend 50 hours doing it yourself. A beautiful home, time, money: pick two.\n\nRastro is your hassle-free personal shopper and interior designer:\n\n1. We craft your taste profile in a 15-minute call.\n2. We find you matching decor from 46 sources.\n3. We buy what you love, delivered to your door.\n\nAre you decorating your space? \\\n[**Book your 15-minute onboarding call here.**](https://forms.fillout.com/t/eJHrqtsGiKus)\n\n![uploaded image](/media/?type=post&id=83240&key=user_uploads/2075162/4c6ff5d7-be50-45e6-9245-51b6f184a78c)\n\n# 💡 How we got here\n\nIn our first week at YC, we built a tool to help interior designers source furniture for less. Early on, a designer told us, “Getting an $8k chair for $4k isn’t material, we do $75k jobs.” Not sure their customer would agree, but it does explain their fee.\n\nMost of us know our taste, but scrolling dozens of websites is a waste of time. Niche sourcing channels are jealously guarded by professional dealers, and the best inventory is difficult to find.\n\n# ✅ Rastro’s Solution\n\nRastro is your personal interior designer, with no up-front costs.\n\n1. In an onboarding call, we craft a taste profile for you. Show us your space and tell us what you’re looking for. Share specific pieces you love, styles that inspire you, and how your home is laid out.\n2. Our sourcing agents automatically scour through 46 different sites to find decor matching your tastes. We look through auctions and listing sites as well as classic sources like 1stDibs or West Elm. You receive our top picks and share your feedback directly on Rastro.\n3. We deliver everything you purchase to your door, leveraging retailer partnerships and referrals to ensure a same-price guarantee.\n\nLet us help you decorate your home: book your onboarding call today at [**rastro.sh**](https://rastro.sh)\n\n![uploaded image](/media/?type=post&id=83240&key=user_uploads/89898/037237d1-8a7b-4779-9d3c-2e8b27a42f9c)\n\n",
        "url": "https://www.ycombinator.com/launches/Lea-rastro-your-personal-interior-designer",
        "votes": 27,
        "created_at": "2024-08-20T19:29:33.359Z"
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    "id": 30031,
    "name": "Getcho",
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    "website": "https://getcho.app/",
    "all_locations": "New York City, NY, USA; Remote",
    "long_description": "Getcho is a local delivery platform for high-value goods. \r\n\r\nWe are building a high-reliability delivery network on top of high-volume, unreliable fleets, just like how TCP builds reliable end-to-end networking on top of an unreliable base network (IP).",
    "one_liner": "The reliability platform for last-mile delivery",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Supply Chain and Logistics",
    "launched_at": 1725840551,
    "tags": [
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    "batch": "Fall 2024",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/getcho",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/getcho.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getcho",
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        "full_name": "Jack Considine",
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        "linkedin_url": "https://www.linkedin.com/in/johnpconsidine",
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        "full_name": "Mike Considine",
        "title": "Founder/CTO",
        "founder_bio": "At Getcho, I’m building software for streamlining and managing last-mile delivery at scale. I was previously Head of Product at K-Optional Software, where I oversaw the development of dozens of custom software products, including two that were acquired.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mike-considine-700172164",
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        "full_name": "Evandro Nadal",
        "title": "Founder/COO",
        "founder_bio": "At Getcho, I’ve overseen thousands of deliveries and worked closely with customers to understand their workflows, improve processes, and ensure smooth operations. Previously, I co-founded K-Optional, a software consultancy specializing in logistics platforms. \n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/evandronadal/",
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      {
        "id": 85363,
        "title": "Getcho - a local-delivery platform for high-value retail",
        "tagline": "Getcho: the local retail delivery platform for high-value products",
        "body": "We're [Evandro](https://www.linkedin.com/in/evandronadal), [Jack](https://www.linkedin.com/in/johnpconsidine/), and [Mike,](https://github.com/consofine) and we're building Getcho, a local retail delivery platform for high-value products. Getcho runs on top of third-party fleets, delivering $250,000 of merchandise per month.\n\n## The problem\n\nMerchants have embraced local / on-demand delivery—it boosts sales with urgent shoppers and is cheap, thanks to mega-fleets like DoorDash, Roadie, and Uber. But locally delivered packages are lost, misdelivered, or returned up to 10% of the time; some retail locations spend thousands of dollars each day replacing lost packages.\n\n## The solution\n\nGetcho prevents 95% of failed local deliveries. This saves merchants the costs associated with shipping replacements and, just as important, improves customers' perception of the merchant's brand.\n\nBy flagging GPS irregularities, using AI-assisted calls and texts to guide drivers at pick-up & drop-off, and scheduling around customer availability, Getcho ensures seamless and reliable deliveries.\n\n## Demo\n\n<https://www.youtube.com/watch?v=GFxJq_xekfI>\n\n## About us\n\nJack and Evandro (\"Dro\") met in college. They started a software development firm called K-Optional that they ran for seven years. Mike, Jack's brother, joined K-Optional in 2021.\n\nThere they built logistics products that were acquired or continue to generate millions in revenue, including:\n\n* A [pig tracking](https://en.wikipedia.org/wiki/Pigging) platform that uses hardware and GPS data to check diagnostics on massive oil pipelines.\n* A scheduling platform in the catastrophe insurance space that maps claimants to appraisal locations.\n\nThey spun Getcho out of a curbside pick-up application and went all in once they had delivered a million dollars of merchandise.\n\n## Ask\n\nIf you or someone you know is in retail operations, we'd love to connect & chat.",
        "url": "https://www.ycombinator.com/launches/MCp-getcho-a-local-delivery-platform-for-high-value-retail",
        "votes": 44,
        "created_at": "2024-11-08T00:02:17.366Z"
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    "id": 30103,
    "name": "Metreecs",
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    "website": "https://www.metreecs.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Metreecs helps retailers plan, buy, and allocate products using AI-demand forecasting. We prevent overstock and out-of-stock situations, allowing clients to eliminate waste, free up capital, and drive higher sales.",
    "one_liner": "AI-powered demand forecasting for retail",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1729012958,
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      "Retail Tech",
      "AI"
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    "url": "https://www.ycombinator.com/companies/metreecs",
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    "year_founded": 2024,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/metreecs/",
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      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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        "full_name": "Thibaut Pellegrin",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder and CEO of Metreecs. Previously co-founded a leather bag company before moving to consulting and growth equity specialised in B2B SaaS.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/thibaut-pellegrin-0b4353171/",
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        "full_name": "Martin Dimitrov",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder and COO of Metreecs. Previously led the international expansion of Lydia in Italy, before moving into early stage venture capital where I invested in AI and B2B SaaS startups.",
        "is_active": true,
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        "full_name": "Elie Dufeu",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder and CTO of Metreecs. Previously graduated from École Polytechnique in Applied Mathematics and Columbia in Data Science, and developed forecasting models for financial institutions.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/elie-dufeu-goldenberg",
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      {
        "id": 85641,
        "title": "Metreecs - AI-Powered Demand Forecasting For Retailers",
        "tagline": "Smart inventory management with AI",
        "body": "**TL;DR:** Metreecs helps retailers plan, buy, and allocate products using AI-demand forecasting. We prevent overstock and out-of-stock situations, allowing clients to eliminate waste, free up capital, and drive higher sales.\n\n### **Problem 📉**\n\n* **Financial Loss**: Retailers worldwide lose over $1.8 trillion annually due to poor inventory planning. This issue stems primarily from two main problems: overstock and out-of-stock.\n* **Outdated Practices**: Retailers rely on outdated tools like Excel, causing inefficiencies, forecasting errors, and missed opportunities.\n* **Environmental Cost**: Fashion is the 3rd most polluting industry due to massive overproduction: 73% of textiles are burned or landfilled which contributes to 900 million tons of CO2 annually.\n\nIn the world of retail, inventory planning can often feel like a guessing game. One of our prospects, a company with a whopping $250M in revenue, humorously encapsulated this challenge during a recent call:\n\n> **_I quickly review our data and then check my crystal ball to pull a number out of thin air._**\n\nThis playful take highlights a serious issue: without the right tools for accurate demand forecasting, retail planners resort to guesswork.\n\n![uploaded image](/media/?type=post&id=85641&key=user_uploads/1951235/e07d224f-ffef-470b-9a82-2a12ad344d58)\n\n### **Solution 📈**\n\nMetreecs is an **AI demand forecasting software for retailers**. We analyze large sets of internal and external data to predict consumer demand. This helps our clients align their inventory with actual market trends, reducing overproduction, stockouts, and markdowns, all while automating 90% of manual tasks.\n\nOur demand forecasting models drive 3 different modules:\n\n* **Buying:** We ensure that our clients buy the right products, in the right quantities for the right locations.\n* **Reordering:** We anticipate stockouts before they occur, and suggest product replenishments to prevent them.\n* **Rebalancing:** We provide inventory reallocation suggestions to eliminate waste and meet customer demand.\n\n### **Our Team 👬**\n\n* [**@Thibaut Pellegrin**](https://www.linkedin.com/in/thibautpellegrin/) experienced the challenge firsthand—after co-founding a leather bag company and talking with industry experts, he realized there had to be a better way to manage inventory in retail.\n* [**@Elie Dufeu**](https://www.linkedin.com/in/elie-dufeu-goldenberg/), a graduate from École Polytechnique in Applied Mathematics and Columbia in Data Science, developed forecasting models for financial institutions before joining Metreecs.\n* [**@Martin Dimitrov**](https://www.linkedin.com/in/mardimitrov/) led the international expansion of Lydia in Italy, before moving into early stage venture capital where he invested in AI and B2B SaaS startups.\n\n![uploaded image](/media/?type=post&id=85641&key=user_uploads/1951235/1b4e5323-2dcf-4fb3-9c1a-88ca376ece07)\n\n### **Our Ask 🫂**\n\nIf you’ve worked in retail, sold software to retailers, or have connections in the industry, we’d greatly appreciate an introduction!\n\nFeel free to reach out at [**martin@metreecs.com**](mailto:martin@metreecs.com) or book a slot directly: [**https://calendly.com/martin-metreecs**](https://calendly.com/martin-metreecs)",
        "url": "https://www.ycombinator.com/launches/MHJ-metreecs-ai-powered-demand-forecasting-for-retailers",
        "votes": 136,
        "created_at": "2024-11-18T06:15:29.630Z"
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    "id": 30318,
    "name": "Wildcard",
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    "long_description": "Wildcard is the full-stack AEO & GEO platform for ecommerce and retail brands. We audit and action on how you show up across across AI search and AI shopping platforms like ChatGPT, Google AI Overviews, Gemini, Amazon Rufus/Alexa, and Walmart Sparky. We build the roadmap to close the gaps, and create the content that gets you recommended.\r\n\r\nMost tools stop at a visibility score. We do the work, and are built for ecommerce brands and retailers, not SaaS. Brands using Wildcard now show up first in AI answers where they used to be invisible.\r\n\r\nWildcard is building the command center for agentic commerce, everything brands need to serve a new type of shopper: AI agents; including support for emerging standards like the Agentic Commerce Protocol (ACP) and Universal Commerce Protocol (UCP).",
    "one_liner": "AEO/GEO for E-Commerce and Retail",
    "team_size": 0,
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1738308751,
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/wild-card-ai",
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        "full_name": "Kaushik Mahorker",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Wildcard. Previously, Engineering Manager at Scale AI where I led the GenAI Allocation team. Built the ecommerce enrichment engine for the largest company pilot - enriching 2.4M attributes across 400K SKUs. Former Eng at AWS Elastic File System. UCLA Masters CS and UCSB CS undergrad.",
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        "title": "Founding Engineer",
        "url": "https://www.ycombinator.com/companies/wildcard/jobs/ZSLVaaU-founding-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $250K",
        "equity_range": "0.50% - 4.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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        "id": 97186,
        "title": "Founding Applied ML Engineer",
        "url": "https://www.ycombinator.com/companies/wildcard/jobs/SEmo4di-founding-applied-ml-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$130K - $250K",
        "equity_range": "0.50% - 4.00%",
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      {
        "id": 106605,
        "title": "Wildcard: AEO, GEO, and AI Search for Ecommerce Brands",
        "tagline": "Wildcard is the command center for agentic commerce. We help ecommerce and retail brands become the answer AI chooses.",
        "body": "**Traction:** 20+ Brands live. On average brands see a 5X increase in AI search revenue after 30 days.\n\n**TL;DR:** [Wildcard ](https://wild-card.ai/)helps brands and retailers rank first across ChatGPT, Claude, Gemini, Amazon Rufus/Alexa, and Walmart Sparky. We audit and action on how your brand, products, and collections show up across every AI search and shopping platform. Wildcard creates the roadmap, and our AI agents execute on it. We create the content AI looks for, including enriching the product catalog, new blogs, collection pages, outreach to publications, and even Reddit and YouTube content to close the gap. Operators can review, approve, and measure how actions tie back to revenue.\n\n**Launch Video:** <https://youtu.be/dkdV-s-JztE>\n\n**The Problem:** Shoppers are googling less and less. They want an experience where they can ask questions, like talking to an in-store rep. They're prompting about what to buy, the model names a few, people purchase those, and you're left relying on Meta's rising ad spend to acquire new customers or retain existing ones. Producing content for millions of SKUs is beyond human scale, and what we found is that millions in revenue was lost because of it. Below is what we learned after 7 months talking with brand owners.\n\n**What We Learned:**\n\n1. It's not about training the model. Everyone gets this wrong. When someone asks, the model runs a live search, reads what it finds, and picks. What decides it is boring and specific: a catalog structured so the model can trust it, and the right content on the sources it reads.\n2. Existing tools were built for SaaS. They hand you a score and stop. That playbook breaks the moment you have 5,000 SKUs and variants. A brand and retailers unit of AEO is the catalog, not a homepage.\n\n**The Solution:** Our solution is simple. First, we run a full audit of how you show up across AI search. Second, we build your roadmap. Lastly, we optimize your product catalog and create the content that gets you recommended. After 30 days, we tend to see a 5x increase in revenue.\n\n**Our Ask:** Try a free trial of our tool [here](https://wild-card.ai/). And if you know any brands, retailers, or agencies, an intro would be great!: [kaushik@wild-card.ai](mailto:kaushik@wild-card.ai)  \n\n**About Me:** Kaushik Mahorker (Founder &amp; CEO). Previously, I was an Engineering Manager at Scale AI, where I led the GenAI Allocation team and built the ecommerce enrichment engine that structured 2.4M attributes across 400K SKUs, helping close $15M+ in retail and marketplace contracts.\n\n![uploaded image](/media/?type=post&id=106605&key=user_uploads/2074409/ca4bbe7c-d2fd-428f-8c09-f0fc965f7c9d)\n\n",
        "url": "https://www.ycombinator.com/launches/RjR-wildcard-aeo-geo-and-ai-search-for-ecommerce-brands",
        "votes": 4,
        "created_at": "2026-07-20T18:00:46.367Z"
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    "name": "Theseus Robotics",
    "slug": "theseus-robotics",
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    "website": "https://theseus.bot/",
    "all_locations": "ZH, Switzerland",
    "long_description": "Theseus Robotics creates the OS & Physical AI to deploys humanoids to automate menial tasks in supermarkets. During the day, our robotics pick orders for e-grocery orders. Overnight, they restocks shelves with goods from the back warehouse. ",
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