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    "name": "Mashgin",
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    "website": "http://mashgin.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Mashgin creates better retail experiences through visual automation. \r\n\r\nWe’ve built a self-checkout kiosk that uses computer vision to scan multiple items without barcodes, reducing checkout time by 10x. We’re completely recreating the checkout experience in an industry that’s had little innovation in decades.\r\n\r\nOur clients see dramatic reductions in lines and revenue increases of as much as 400% as a result.",
    "one_liner": "Self-Checkout using Computer Vision.",
    "team_size": 150,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1421189374,
    "tags": [
      "Cashierless Checkout",
      "Deep Learning",
      "Hardware",
      "Computer Vision",
      "AI"
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2015",
    "status": "Active",
    "industries": [
      "B2B",
      "Retail"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
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    "question_answers": [
      {
        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Back in the early 2010s, Mukul was hard at work helping Toyota determine how computers could use cameras to interpret and interact with the world. But Mukul had a problem - every day, he would go to get his lunch, and every day he’d spend most of that time (30-40 minutes) waiting in line in his corporate cafeteria. He decided to take a closer look at the issue and decided that computer vision could be the answer. After some initial testing, Mukul felt the idea was a big opportunity and flew to California to pitch his idea.There he reconnected with Abhinai, who was his classmate in the same dorm at IIT Delhi. He created an early demo that was so impressive that it convinced Abhinai to join him.Having worked in large companies and created some enormously successful projects, we were disheartened by the fact that when a project became successful, several people came in at the final stages to take credit. We decided to be founders and create a company that valued people’s contributions honestly and cut through the corporate bullshit.After successfully cold-calling head executives from some of the largest corporate cafeteria operators on the planet, we received many enthusiastic responses to our description of Mashgin’s Touchless Checkout System. He then set out to actually build it.After successfully building and demoing a Mashgin prototype to the YC team, Mashgin went from “project” to “company” over the course of the Winter 15 Batch."
      },
      {
        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "We applied to YC very late, just a few days before the start of W15 batch. We were in the middle of raising a seed round and through our suboptimal interactions with investors, we realized that we needed YC guidance to help us raise a round on good terms. Our YC experience was amazing, if a bit overwhelming at times. YC partners forced us to think clearly about the next steps. At one point they had us go door to door to every business in Mountain View downtown to try and sell our product. We made our first sale that day and we’ll never forget that experience! Fundraising post YC was every bit what we imagined it to be. It made the entire process super smooth and easy."
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "When we started the company in 2014, our initial goal was to improve the checkout experience in corporate dining facilities, cafeterias, and sports stadiums. We aimed to use computer vision and machine learning technology to create a much more efficient and convenient experience for customers. Entering YC and getting to demo day with a major letter of intent was a big moment for the company, giving us the experience and fundraising to make Mashgin market-ready over the following few years.However, with the outbreak of COVID-19 in 2020 and the subsequent lockdowns, we had to pivot our focus to the convenience store space as corporate offices closed and retail demand for self-checkout solutions skyrocketed.During the pandemic we were able to secure an enormous deal with Circle K, one of the largest convenience store chains in the world, for 10,000 kiosks across their global portfolio of stores. This elevated us from a burgeoning player in AI to the most market-tested solution in the world.In May 2022, we were able to announce a Series B funding round of $62.5 million with a valuation of $1.5 billion, earning us the title of “unicorn” company. The round was led by NEA, a global venture capital firm that’s invested in other successful startups like Cloudflare, Patreon Plaid, and Robinhood, with additional support from our existing investor, Matrix Partners.Today Mashgin continues to expand within the convenience, sports, and corporate dining industries while beginning to explore adjacent opportunities in spaces like ski resorts, quick service restaurants, and drug stores."
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Online retail has gone through several iterations in the past few decades and the experience today is extremely frictionless. Physical retail on the other hand has not seen the same level of innovation and the experience hasn’t changed much since the early 90s. We want to use the latest advances in AI and Computer Vision to make physical retail as easy and frictionless as online retail.More specifically, Mashgin solves the problem of long wait times and checkout bottlenecks. Customers often experience frustration and dissatisfaction when they have to wait in long lines to check out, and retailers also face the challenge of managing and staffing checkouts. This is a big problem because lines are a waste of time for everyone involved. Over the course of a lifetime, the average person will spend years waiting in lines. And those lines aren’t just wasted time for consumers, they result in lost sales for retailers. Studies by Forrester and BlueDot have shown that retailers lose as much as 57% of their sales when customers perceive the line as long (which in a convenience store is 3 people).Besides being frustrated by our own lunch lines, we decided to work on this problem because we saw an opportunity to use computer vision and machine learning to create a more efficient and convenient shopping experience for customers across industries."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "At Mashgin, our long-term vision is to create a world where the shopping experience is completely seamless and frictionless. If we succeed, waiting in line to purchase goods will be a thing of the past. Consumers will have more time to do the things that they love with a faster, more convenient, and less stressful experience in retail and dining spaces.  For retailers and concessionaires the technology will free up time and resources, allowing them to focus staff on other key areas of the business like stocking, cooking, cleaning, and customer service."
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    "url": "https://www.ycombinator.com/companies/mashgin",
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    "year_founded": 2014,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/mashgin/",
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    "fb_url": "https://www.facebook.com/mashgin/",
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    "github_url": "https://github.com/mashgin",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "full_name": "Abhinai Srivastava",
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        "full_name": "Mukul Dhankhar",
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        "linkedin_url": "https://linkedin.com/in/mdhankhar",
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    "jobs": [
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        "title": "Senior Software Engineer, Full-Stack",
        "url": "https://www.ycombinator.com/companies/mashgin/jobs/BaWLmBF-senior-software-engineer-full-stack",
        "location": "Palo Alto, CA",
        "type": "Full-time",
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        "salary_range": "",
        "equity_range": "",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 49135,
        "title": "Software Engineer, Computer Vision and Deep Learning",
        "url": "https://www.ycombinator.com/companies/mashgin/jobs/Lwg6Tpa-software-engineer-computer-vision-and-deep-learning",
        "location": "Palo Alto, CA",
        "type": "Full-time",
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        "experience": "6+ years",
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        "title": "Senior Technical Product Manager",
        "url": "https://www.ycombinator.com/companies/mashgin/jobs/o1C6SdM-senior-technical-product-manager",
        "location": "Palo Alto, CA, US",
        "type": "Full-time",
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        "role_type": null,
        "salary_range": "$180K - $230K",
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        "experience": "6+ years",
        "visa": "Will sponsor",
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        "title": "Senior Software Engineer, Backend",
        "url": "https://www.ycombinator.com/companies/mashgin/jobs/kOoM7gQ-senior-software-engineer-backend",
        "location": "Palo Alto, CA",
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    "news": [
      {
        "title": "Mashgin Hits $1.5 Billion Valuation With AI-Powered Self-Checkout System",
        "url": "https://www.forbes.com/sites/rashishrivastava/2022/05/09/mashgin-hits-15-billion-valuation-with-ai-powered-self-checkout-system/?sh=4a389369176a",
        "date": "May 09, 2022"
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    "website": "https://www.branch8.com",
    "all_locations": "Kowloon, Hong Kong",
    "long_description": "Branch8 offers e-commerce sellers access to a single platform that lets them list their products across a wide swath of e-commerce sites. Updating and delisting items are similarly simple. Plus, the company also offers logistics and order management – the idea is that it can be a one-stop shop for e-commerce sellers, helping them to earn more money while saving them valuable time.\r\n\r\nBranch8 is created by a team of sellers and engineers. They live and breathe e-commerce. In the past, They were a top seller selling across Lazada, Qoo10, Rakuten, Amazon and Ebay. Their team consists of individuals from Lazada, Rocket Internet, Facebook and Microsoft.",
    "one_liner": "Branch8 helps sellers to list and manage products on e-commerce…",
    "team_size": 15,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1429997724,
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    "regions": [
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/branch8",
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        "linkedin_url": "http://hk.linkedin.com/pub/matt-li/16/4b1/38b",
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    "id": 906,
    "name": "Bistrobot",
    "slug": "bistrobot",
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    "website": "http://bistrobot.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bistrobot makes robots that make sandwiches. No more long lines and no more wrong orders, just good food fast. And the coolest part is you get to watch a robot make you lunch.",
    "one_liner": "We make robots that make sandwiches.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1430156120,
    "tags": [
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    "top_company": false,
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    "batch": "Summer 2015",
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    "regions": [
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    "url": "https://www.ycombinator.com/companies/bistrobot",
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        "full_name": "Jay Reppert",
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    "name": "Prayas Analytics",
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      "SimpleMoney"
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    "website": "http://prayasanalytics.com",
    "all_locations": "New York City, NY, USA; New York, NY, USA",
    "long_description": "Prayas Anaytics helped retailers A/B test their stores, the way eCommerce companies A/B test their websites. We did this by continuously collecting data on customer movement using existing security cameras already in a retailer's stores. \r\n\r\nWe were a Y Combinator backed company (S15) and worked with several retailers including Barneys, Payomatic, and multiple Fortune 200 retailers.",
    "one_liner": "A/B testing for brick-and-mortar stores.",
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    "url": "https://www.ycombinator.com/companies/prayas-analytics",
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    "id": 999,
    "name": "Focal Systems",
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    "long_description": "Focal Systems is on a mission to lower the cost of living for all mankind by automating and optimizing Brick and Mortar Retail with the latest advancements in AI. Focal Systems is the industry leader in retail automation solutions. By digitizing store shelves hourly and unleashing FocalOS, retailers unlock huge operational efficiencies, optimized merchandising, and streamlined supply chains which deliver impactful financial results. Focal is transforming retail by empowering store management to make automated, data-driven decisions. We are the operating system of retail.",
    "one_liner": "Building the Operating System for B&M Retail using Deep Learning",
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        "full_name": "Michael Cantalino",
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    "id": 1042,
    "name": "Podium",
    "slug": "podium",
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    "website": "https://podium.com",
    "all_locations": "Lehi, UT, USA",
    "long_description": "Podium is the all-in-one AI-powered lead management and communication platform used by more than 100,000 businesses to acquire and convert new customers. At the forefront of Podium’s innovation is its AI employee, who ensures businesses respond to leads instantly, anytime of the day or night—significantly increasing lead conversion rates and revenue.\r\nPodium helps businesses obtain more reviews, rank higher on Google, and consolidate lead channels. Businesses can call and text customers from the web and/or mobile app, send payment links, drive repeat business through bulk messages, and more—all managed and delivered from one easy-to-use dashboard. Additionally, with Podium’s AI Employee and automations, businesses can efficiently handle customer inquiries seamlessly across all communication channels, providing timely and accurate responses that drive sales.\r\nPodium’s innovative work has gained recognition on top industry lists, such as Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies.\r\nPodium was founded in 2014 and is headquartered in Lehi, Utah. It is currently backed by Accel, Summit Partners, GV (formerly Google Ventures), and Y Combinator.",
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        "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)",
        "answer": "Meesho – short for Meri Shop (My Shop) – was founded by Vidit Aatery and Sanjeev Barnwal in 2015. Vidit and Sanjeev were wing mates at the Indian Institute of Technology (IIT) Delhi hostel, with their rooms located diagonally opposite each other. Upon completion of their engineering, Vidit worked with Indian consumer goods major ITC for a couple of years, followed by a year-long stint at ad-tech startup InMobi. Sanjeev joined Sony in Japan, contributing to the camera technology for DSLRs and mobiles. **\\**\\The duo got back in touch in May 2015 and decided to start up. For them, two things were clear.  One, it was a great time to be a tech entrepreneur in India – doing anything else would mean not living up to their potential. Two, solving a large-scale problem that affects more than 100 million people and something they can relate to. \\\\Soon, Vidit and Sanjeev realized that most small businesses in India were still offline. They only sold within their communities and localities, which limited their earning potential. \\\\On the consumer side, traditional e-commerce companies focused on the metros and relatively affluent consumers, leaving smaller cities and those with lower incomes out of the internet commerce revolution. Vidit and Sanjeev wanted to take the benefits of e-commerce to this cohort of consumers, democratizing internet commerce for everyone. \\\\To that end, Vidit and Sanjeev gauged the immense potential of social networks as a sales channel early on. They created a platform that enabled millions of people, including homemakers, to become entrepreneurs and resell products in their network via WhatsAp. Meesho pioneered social commerce in India and it now has \\~16 million entrepreneurs on the platform, of which over 10 million are women. \\\\What started as an idea to digitize India’s unorganized retail is now a $4.9B e-commerce company, a single thriving ecosystem of sellers, entrepreneurs and consumers. Meesho’s evolution from pure play social commerce to e-commerce is a testament to how the company is transforming the industry and making e-commerce accessible to the masses. With a vision to enable 100 million small businesses to succeed online, Meesho is continuously facilitating MSMEs’ transition from the offline to the online world."
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        "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?",
        "answer": "Put simply, Vidit and Sanjeev decided to apply to Y Combinator because they were fans of Paul Graham's iconic essays 🙂They were hungry to learn how to start up from great mentors and other entrepreneurs in Silicon Valley – the global hub of tech innovations and startups. Y Combinator’s application process made Vidit and Sanjeev think hard about what they were building, what unique insight they had that no one else did, etc. Some of these fundamental questions helped refine their thinking a great deal. While going through the batch, they learned a lot about growth and user behavior from other startups. At the same time, Y Combinator partners connected them to other entrepreneurs like Twitch co-founder Emmett Shear, who shared valuable advice with Vidit and Sanjeev on how to get insights from users to build products."
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        "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?",
        "answer": "The Y Combinator community is very active, both in India as well as globally. Vidit and Sanjeev are now close friends with some of the other Y Combinator founders. They often brainstorm together on the challenges they are working on, always learning something new in the process. "
      },
      {
        "question": "What's the history of your company from getting started until the present day? What were the big inflection points?",
        "answer": "When Sanjeev and Vidit got together in July 2015, they were looking at building a hyperlocal platform for fashion. During the early days, the founders did everything from taking shop inventories to cataloging them on the app to making the deliveries themselves – listening intently to feedback from users and suppliers all this while. A couple of iterations later, Meesho became a social commerce platform where resellers used WhatsApp, Facebook and Instagram to become a bridge between suppliers and consumers. Millions of resellers, most of them women, were able to supplement their household income by starting virtual stores on social channels without any investment and selling to their community. In the process, they achieved financial independence – besides a sense of accomplishment and identity. While Meesho pioneered the concept of social commerce in India, e-commerce adoption tailwinds from COVID-19 saw many consumers become more comfortable with directly shopping online. This was a huge opportunity for Meesho to tap and the company has been operating a marketplace connecting sellers and consumers (in addition to WhatsApp-led reselling) for over 1.5 years now. Direct sales on the platform now account for 80% of Meesho’s business. **Funding:** In July 2016, Meesho was selected by Y Combinator for a three-month summer program. In October 2017, the company raised $3.1 million in a [Series A round](https://en.wikipedia.org/wiki/Series_A_round) from investors led by Elevation Capital (formerly SAIF Partners), following it up with a Series B round of $11.5 million in June 2018. Five months later, Meesho closed its Series C round of $50 million at a valuation of $200-250 million. Soon, Meta (formerly Facebook) came aboard as an investor in August 2019 and the company raised 125 million, becoming India’s first startup to be backed by the social network. In April 2021, Meesho turned a [unicor](https://www.moneycontrol.com/news/business/meesho-raises-300-million-led-by-softbank-enters-unicorn-club-6729831.html)n with SoftBank leading a $300 million funding round that valued the company at $2.1 billion. Later in the year, Meesho raised [$570 million](https://www.moneycontrol.com/news/business/meesho-raises-570-million-from-fidelity-b-capital-others-at-4-9-billion-valuation-7524951.html) in its Series F round, doubling its valuation to $4.9 billion. The company has so far raised $1.06 billion from marquee investors including Prosus Ventures, Elevation Capital, Sequoia Capital, Good Capital and Symphony International. **Growth and scale:** 2021 and 2022 were breakout years for Meesho with the business growing exponentially and witnessing strong momentum on several fronts. Meesho became the world’s most downloaded e-commerce app globally in October 2021, as per [data.ai](http://data.ai). It repeated the feat in the first half of 2022, logging record downloads, according to Apptopia. During the calendar year 2022, the Meesho app recorded the highest Monthly Active Users worldwide, as per [data.ai](http://data.ai). In 2022, the company saw 910 million orders, with nearly 80% of them coming from small towns,  showcasing how the company’s value proposition of affordability continues to be a significant differentiator. Affordable, relatable merchandise mirroring local markets has helped Meesho make inroads into homes of first-time internet users across the country. The company’s 85 million+ active product listings and strong value prop of everyday low prices has resulted in 140 million annual transacting users. On the seller side, the company’s relentless focus on digitizing small businesses is bearing fruit. Driven by industry-first initiatives such as zero commission and by ensuring there’s no private label play or tiering of sellers, Meesho’s supplier base has grown to over 825,000. Three in five of them are new-to-e-commerce and selling on Meesho for the first time. One of the reasons Meesho is able to deliver on its promise of everyday low prices is because of its asset-light structure, wherein it works with third-party logistics players for order fulfillment. Meesho is the single-largest contributor to India’s fast-growing third-party logistics industry, accounting for \\~35% of all shipments delivered by national players. **Inflection points:** The landmark entry of telecom operator Reliance Jio revolutionized India’s internet landscape. The availability of fast data, almost free of cost, catalyzed internet penetration, taking it to the deepest and remotest corners of the country. As other telecom companies followed suit, almost all of India became the Target Addressable Market in one fell swoop – opening the doors of opportunity for e-commerce companies. Additionally, the Covid-19 pandemic paved the way for a huge transformation in India’s retail landscape. Widespread adoption of e-commerce by millions of consumers across the country marked a record shift from offline to online. At the same time, millions of sellers discovered the potential of e-commerce platforms and embarked on their online journey."
      },
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Meesho — India’s only true online marketplace — is altering the status quo with an asset-light business model to make e-commerce inclusive and accessible for the next billion users in India.Over the last 15 years, e-commerce in India evolved with a focus on convenience-seeking customers in metros and Tier 1 cities with enough purchasing power. Much less attention was paid to residents of smaller towns and those from lower income groups with different needs around selection and affordability. Meesho is constantly working towards enabling access for this cohort of customers, reimagining the internet commerce journey for them. Over the last seven years, the company has built a simple and easy-to-use e-commerce platform that’s helped millions of new-to-ecommerce users come online. The company currently has close to \\~140 million annual transacting customers. Additionally, Meesho’s vision is to enable the smallest of sellers in India to digitize their business and reap the benefits of online commerce: a much bigger market, higher incomes, a digital footprint, et al. Driven by this vision, Meesho has routinely identified and solved the challenges that potentially deter sellers from embracing e-commerce. The company launched disruptive, industry-first initiatives like zero seller commission that leave more money in the hands of suppliers and allow them to expand their business. As India’s only true e-commerce marketplace, Meesho does not differentiate between sellers on the basis of tiers, nor does it have private labels or an inventory-led play. Meesho was built on the core principle of democratization of internet commerce for the smallest of sellers across the country."
      },
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        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Creating a level playing field for small businesses to succeed online while catering to underserved, price-sensitive users — Meesho is on a mission to democratize internet commerce for everyone. India’s unorganized retail is estimated to account for 85% of the overall retail sector, indicating a huge opportunity for small businesses and consumers to come online. All that is required is the right platform and opportunity, a little bit of resources and some hand holding. Additionally, of the \\~700M active internet users in India, only 216M transact online. There is a large chunk of people in tier 2+ cities who do not transact online. Meesho’s vision is to bring underserved users into the e-commerce fold by leveraging technology, its wide reach and strong understanding of how India shops. If Meesho truly succeeds, small businesses will be empowered to sell their wares across the country, earn more and generate employment at scale, taking India closer to its goal of a $5 trillion economy. On the other hand, consumers will be able to access affordable, relatable merchandise from all corners of the country, fulfilling their aspirations."
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      {
        "id": 88152,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/bik/jobs/MewNUmm-founding-account-executive",
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        "title": "YC Backed B2B Startup Bikayi Raises $10.8 Mn Led By Sequoia Capital India",
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      {
        "id": 94820,
        "title": "Bik.ai: World’s First AI Commerce Agents Marketplace",
        "tagline": "Today, we’re launching the world’s first AI Commerce Agents Marketplace - built for every eCommerce brand that’s tired of stacking 20+ eCommerce plugins.",
        "body": "![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/0db1a090-c5b5-453d-8732-d1b4142ae1d2)\n\n**TL;DR** eCommerce Brands, → its time to say good bye to Shopify plugins. :)\n\ninstead of investing heavily on multiple tools and plugins to handle your acquisition, support, retention, can now just spin off **AI commerce agents** for their Brand.\\\n\\\nNo need to onboard 20+ tools or hire 5 new people to scale your eComm Brand.\\\n\\\nNo tools. No humans.\n\n### Problem & the Solution.\n\n**Example** : Trouble with **refunds** because of size issue? \\\n**Solution** : Enable **Size Guide AI** agent to help your shoppers from our marketplace.\n\n**Example** : Struggling to handle inbounds from Influencers on Insta DM?\\\n**Solution** : Build an **Influencer shortlisting DM agent** using our Agent studio builder\n\n**Drum rolls 🥁.**\n\nHere is a sneak peak of how it looks :\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/9473b2ad-3c69-4da3-9699-78284c1a23ff)\n\nhttps://www.youtube.com/watch?v=PF4TnsHh2nI\n\n### How to works?\n\nThe crazy part? → Its amazingly easy to set it up.\n\nJust type in your prompt for :\n\n1. **Goal** → **(Reduce support load, increase revenue by xx%)**\n2. **Instructions**\n3. **Success criteria**\n\nGet realtime updates on the Agent’s performance: 👇🏼\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/6c9edeb5-28b7-4f19-b93d-842e68882d8a)\n\nYou don’t need to train AI at multiple places, because BIK.ai takes care of everything when it comes to marketing & support for eCommerce Brands.\n\n![uploaded image](/media/?type=post&id=94820&key=user_uploads/341432/d6e63f5c-48ee-43f6-a21b-490a013532d5)\n\n**Train it once.**\n\n**Deploy it everywhere** (email, text, Instagram, messenger, whatsapp) or on website.\n\n**Relax for a lifetime.**\n\n### Ask:\n\nGive it a shot if not already, you can onboard us\n\n✅ No contracts\\\n✅ No onboarding cost\\\n✅ Begin with 1 agent — scale as you grow\\\n✅ Setup: 100% white-glove service — my team trains your AI and takes it live\n\nCheck it out here - https://getmanifest.ai/ai-commerce-agents\n\nWrite me at [sonakshi@bik.ai](mailto:sonakshi@bik.ai) if you would like to take your 1st step towards future today.",
        "url": "https://www.ycombinator.com/launches/OfM-bik-ai-world-s-first-ai-commerce-agents-marketplace",
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        "created_at": "2025-10-22T17:11:46.471Z"
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      {
        "id": 81809,
        "title": "⭐️ 💖 Manifest AI - Introducing AI Shopping Pages",
        "tagline": "Manifest AI helps brand deploy AI shopping assistants. Today, we're launching AI shopping pages.",
        "body": "TL;DR eCommerce Brands, instead of getting their visitors to their static storefronts, can now how have a dedicated landing page with an AI shopping experience— trained on their eCommerce store + Sales data.\n\n—\n\nHey Fam, we're Sonakshi and Ashutosh, and we're founders of [Manifest AI](https://getmanifest.ai) (it’s a product by [BIK](https://bik.ai)). We're on a mission to re-imagine how eCommerce is done today using Generative AI.\n\n**❓The Problem**\\\n96% of online visitors drop off after visiting a Brand’s website because of multiple reasons, such as not getting what they wanted or not knowing where and how to find what they want.\n\n**⭐️ Solution**\n\n[Manifest AI](https://getmanifest.ai)’s shopping page allows brands to have a fully personalised AI shopping experience for each visitor where they can ask what they want, for example, “I have a date night, pls suggest something in black?” Manifest AI enables product recommendation, engagement & purchase depending upon the intent of the visitor.\n\n**⚙️ How it works**\n\nAs soon as you sign up for [Manifest AI](https://getmanifest.ai), the LLMs gets trained on your eCommerce store & sales data, and generates an AI shopping page, the page can have different URLs depending upon the ads campaign making the AI shopping page to give a very personalised experience to each user. It takes care of search, product recommendation, and support on your storefront. It acts like a human sales agent on your eCommerce website.\n\n👉🏼 Watch the full video [here](https://www.youtube.com/watch?v=K4K_uE0RkQI)\n\n**💙 Manifest AI is contributing to real sales**\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/647489df-7448-48a0-a5b1-9123db34bf0d)\n\n**👉** You also get the Training quality score of your AI on the Manifest Dashboard.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/80378219-9406-4ab5-acf8-cdb66f063c1f)\n\n👉 You can set up different URLs & experiences for your ads campaign.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/bb32fc2d-fac8-46cf-9a18-ea4a162ad4ba)\n\nAI also has the capability to generate real-time quizzes based on intent, keeping the visitors engaged.\n\n![uploaded image](/media/?type=post&id=81809&key=user_uploads/341432/afd9ca35-ec7f-44bc-bbe1-a94f7fb0dcc8)\n\n**🙏 Asks**\n\nIf you have any eCommerce brands in your network, request them to try [Manifest AI](https://getmanifest.ai)!\n\nFollow us on [Linkedin](https://www.linkedin.com/company/getmanifestai) 😊\n\nIf you have 30 minutes to chat about Manifest AI, please book a time with me [here](https://bit.ly/4cluvJH) or [DM me here](https://www.linkedin.com/in/sonakshi-nathani-473abb41/)",
        "url": "https://www.ycombinator.com/launches/LHV-manifest-ai-introducing-ai-shopping-pages",
        "votes": 208,
        "created_at": "2024-06-27T20:59:36.368Z"
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    "long_description": "Gonddo is a B2B wholesale marketplace that digitalizes inventories purchases for independent retailers and brings technology to modernise distribution and trade credit for SMBs in Brazil. With gonddo, retailers can find fresh products, discover new brands and easily connect with wholesalers",
    "one_liner": "Wholesale marketplace for independent retailers buy & manage inventory",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
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    "one_liner": "Helping food brands and retailers reduce food wastage",
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        "full_name": "Rajas Lonkar",
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        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rajaslonkar/",
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        "date": "May 04, 2023"
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        "date": "Dec 27, 2022"
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        "url": "https://www.livemint.com/companies/start-ups/fountain9-raises-1-9-mn-in-seed-funding-led-by-021-capital-y-combinator-11625656811864.html",
        "date": "Jul 07, 2021"
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    "one_liner": "AI-Native Restaurant POS",
    "team_size": 4,
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    "launched_at": 1614625915,
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        "full_name": "Nick Evans",
        "title": "Founder",
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        "user_id": 230039,
        "full_name": "Shayan Guha",
        "title": "Founder",
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      {
        "id": 91825,
        "title": "Avocado 🥑 Restaurant POS with a built-in AI agent",
        "tagline": "Run your restaurant with an AI agent that updates your menu, prices, and more",
        "body": "## **🚀 We’re launching Avocado – Restaurant POS with a built-in AI agent**\n\n👋 Hi YC! We’re Nick Evans and Shayan Guha, co-founders of **Avocado** - a point-of-sale system for restaurants that now includes a **fully integrated AI assistant**. We’re thrilled to share our biggest update yet.\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/ce5f4736-b005-49ce-b579-8bf8596ce1e8)\n\n---\n\n## **🧠 The problem: running a restaurant is overwhelming**\n\nIndependent restaurant owners juggle dozens of tools, dozens of vendors, and constant interruptions - all while trying to serve food and keep customers happy. Managing the POS, updating menus, pulling sales reports, figuring out Instagram posts, dealing with changing prices… it’s a full-time job _on top of_ their actual full-time job.\n\nBut the real bottleneck? **Information is trapped in systems that don’t talk to each other**, and most POS systems are clunky, hard to use, or just dumb.\n\n---\n\n## **🍳 The solution: an AI agent that _knows_ your restaurant**\n\nAvocado is a POS system designed from the ground up to work with an AI assistant. Our agent understands your menu, your modifiers, your sales data, your customers, your staff - and it can take action across the system in real time.\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/4f4d0889-0077-48bd-a427-72d160f30492)\n\nYou can ask it:\n\n* “Add a matcha latte to the menu for $5.50”\n* “What’s my best-selling item on weekends?”\n* “Update all egg-based items to reflect the new cost of eggs”\n* “Create a social media post featuring today’s specials”\n* “Tell me which servers had the highest tips last week”\n\n…and it just **does it**. Right away. No UI to navigate, no learning curve, no training required.\n\n💡 This is more than a chatbot. This is a **restaurant-native AI agent** with full control over the POS, KDS, kiosk, and online ordering systems - like having a superpowered GM in your pocket.\n\n---\n\n# **Check out our launch video here**\n\nhttps://www.youtube.com/watch?v=O2QaQdDJlb0\n\n---\n\n# **✨ Here are some examples from the video:**\n\n**Prompt** “Add a matcha latte to the menu”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/f4589fd7-69da-40c2-8d3f-a16fd766dbad)\n\n**Prompt** “Write an Instagram post announcing our new matcha lattes”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/3e7c0988-ed76-486c-b3e0-e96ecb21629f)\n\n**Prompt** “Raise all the prices of my egg dishes by 10%, round to the nearest quarter”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/0bfaae04-2776-442b-b3ba-3679ecedf2c7)\n\n**Prompt** “We’re out of bacon. Mark everything with bacon as out of stock.”\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/2f4ec1fd-7ff8-4720-bce0-753093934587)\n\n\\\n**👩‍🍳 Why we built Avocado**\n\nWe’ve worked with restaurants for years and have seen the same story over and over: people want to focus on hospitality and food - not software. But they were stuck with outdated POS systems or janky integrations between too many tools.\n\nSo we built Avocado to be the _last_ system a restaurant needs - tightly integrated hardware + software, a beautiful POS UI, and now, a deeply capable AI agent.\\\n(Also, we were frustrated that nobody else had done it right. So we did.)\n\n---\n\n## **📣 Call to action**\n\nWe're looking to work with independent restaurants, food trucks, cafes, and anyone tired of using 5 different tools to run their shop. If you want to try Avocado or just want to chat about what we’re building:\n\n📬 Email us: [founders@avocadopos.com](mailto:founders@avocadopos.com)\\\n📱 Text us: (512) 580-7988\\\n🌐 Website:[ https://avocadopos.com](https://avocadopos.com)\n\n---\n\n## **🙏 Asks**\n\n* If you know restaurant owners - especially in Texas or California - please send them our way.\n* We’d love feedback on the demo and ideas for what the AI agent should do next.\n\nThanks YC - can’t wait to hear what you think.\\\n**Nick & Shayan**\n\n![uploaded image](/media/?type=post&id=91825&key=user_uploads/258127/00157e2d-711b-4e9d-a612-d43f7e95d3b3)\n\n",
        "url": "https://www.ycombinator.com/launches/Nt3-avocado-restaurant-pos-with-a-built-in-ai-agent",
        "votes": 18,
        "created_at": "2025-07-03T13:21:35.353Z"
      }
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    "id": 23074,
    "name": "ZOKO",
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    "website": "https://www.zoko.io/",
    "all_locations": "Bengaluru, KA, India",
    "long_description": "Zoko: The Ultimate WhatsApp Commerce Solution for Shopify Merchants\r\n\r\nWHY ZOKO IS THE GAME-CHANGING PLATFORM EVERY SHOPIFY MERCHANT NEEDS\r\nShopify merchants face a critical challenge: while they've built amazing online stores, they're missing out on the world's largest messaging platform where customers actually want to shop. Zoko solves this by seamlessly integrating WhatsApp commerce capabilities with your existing Shopify infrastructure.\r\n\r\nTHE UNTAPPED OPPORTUNITY THAT'S COSTING YOU SALES\r\nConsider this: 175 million people message businesses on WhatsApp daily - that's more engagement than Amazon generates. With 100 million merchants already using WhatsApp for business globally, those not leveraging this channel are falling behind competitors who are capturing sales directly through conversations.\r\n\r\nPROVEN SUCCESS FORMULA\r\nZoko's founders didn't just theorize about WhatsApp commerce - they lived it. Starting with their own ecommerce business entirely on WhatsApp, they scaled to 200,000 engaged followers who eagerly purchased products through weekly WhatsApp updates. When other businesses began paying for access to their \"WhatsApp sales tools,\" they knew they'd discovered something revolutionary.\r\n\r\nTHE $50 BILLION MARKET OPPORTUNITY\r\nThe WhatsApp commerce market represents over $50 billion annually - a massive revenue stream that traditional ecommerce platforms can't access. For Shopify merchants, this means untapped customers, higher engagement rates, and sales happening through the world's most trusted messaging platform.\r\n\r\nCOMPLETE SALES, MARKETING & SUPPORT INTEGRATION\r\nZoko transforms WhatsApp into a comprehensive business channel, enabling Shopify merchants to:\r\n- Convert conversations directly into sales\r\n- Run targeted marketing campaigns through WhatsApp\r\n- Provide instant customer support where customers prefer to communicate\r\n- Build deeper customer relationships through personalized messaging\r\n\r\nTHE FUTURE OF COMMERCE IS CONVERSATIONAL\r\nWhatsApp represents the internet for the next billion users entering the digital economy. Zoko positions itself as the \"Shopify for WhatsApp merchants,\" giving existing Shopify store owners the tools to dominate this emerging channel before competitors realize its potential.\r\n\r\nFor Shopify merchants serious about growth, Zoko isn't just another tool - it's the bridge to the next generation of ecommerce where conversations convert to sales.",
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    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1614626990,
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        "body": "Hi YC! This is [Aromal](https://bookface.ycombinator.com/user/251201) and [Arjun](https://bookface.ycombinator.com/user/198845), the founders of ZOKO.\n\nZoko (https://www.zoko.io/) now lets ecommerce merchants add a fully-functioning sales agent to their WhatsApp Business number in a few minutes.\n\n**Here’s a video of how it works**\n\nhttps://www.youtube.com/watch?v=Zj6zNXdH8Tc\n\n**Who is it for** \nWe are building this for the 200M monthly active businesses on WhatsApp. Most business today, use WhatsApp as fancy SMS - i.e. for sending out marketing blasts. They don’t have a way to scale sales inside WhatsApp.\n\n**Our Backstory**\n🤔 We started off with an ecommerce business, entirely on WhatsApp, which grew to a customer base of 200K followers on Facebook, who would make purchases after seeing our weekly product drops on WhatsApp.\nOther businesses started reaching out to us, offering to pay for our \"WhatsApp sales tools\". That was the Aha moment! We realized that selling these tools to other businesses, was the way to go and launched a SaaS business. Through the good grace of a lot of people helping us along the way - we got paying customers, investors, even YC and making millions in revenue profitably! yay!\n\n**Wanna play with it?**\nSure! Open this link in WhatsApp https://wa.me/c/918849966041 (If you have WhatsApp Pay add the 1 INR product and make a real payment to get the full experience)\n\nWe are very open to feedback and have thick skins. Feel free to reach out to any of us with feedback, questions, etc. Email [founders@zoko.io](mailto:founders@zoko.io) or whatsapp me directly [wa.me/919108281134](http://wa.me/919108281134)\n\n**Ask**\nThanks for reading about us. **_We are looking to connect with ecommerce brands in WhatsApp dominated markets - India, Middle East, Western Europe and South America._** If you are one or know of brands that would love to scale-up sales on WhatsApp, please get in touch with us at [founders@zoko.io](mailto:founders@zoko.io), thanks :)",
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    "name": "StrideQ",
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    "name": "Versable",
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    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Auto parts retailers get product data from hundreds of manufacturers that is inaccurate and inconsistent, often with big gaps in key values. They currently have a team of \"catalog managers\" who are required to process and enhance this data line by line, resulting in a week to months long lag between receiving product data and actually being able to start generating revenue from those products. \r\n\r\nVersable leverages AI to scan the web for tens of millions of auto parts listings, and uses a fine-tuned LLM with RAG to instantly process, enhance, and transform data. With just a part number, Versable is able to generate market-ready titles, product descriptions, and specs, in any format that's needed. ",
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        "full_name": "Christina Seong",
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        "title": "Versable - Generate your auto parts catalog with AI",
        "tagline": "Designed for complexity, built for scale",
        "body": "Hi everyone! I’m [Christina](https://www.linkedin.com/in/christinaseong/), founder of [Versable](https://versableai.com/).\n\nVersable uses AI fix sparse and messy catalogs in high-value, high pain legacy industries. Our first focus is the $500B auto aftermarket.\n\n### 🧩 **The problem: bad product data costs sales and is hard to fix**\n\n* Bad product data leads to **lost sales, slow time to market, and high return rates**, especially in the aftermarket where accuracy is critical.\n* Most aftermarket catalogs were built decades ago and are not designed for modern digital demands. Product data lives in silos, lacks standardization, and requires deep domain expertise to classify correctly.\n* Today, teams of catalog managers manually onboard, audit, and update product content for millions of SKUs, causing **weeks of delay before a part can start generating sales**.\n\n---\n\n### 🔧 **Why Versable solves this 10x better than status quo**\n\n* Versable is the **only tool built specifically to accommodate the technical complexity and massive scale required in industrial and aftermarket applications**. We use context aware and domain specific AI to automatically clean, standardize, and enrich product data with precision.\n\n![uploaded image](/media/?type=post&id=90121&key=user_uploads/581453/4c8ca459-6498-484b-a2a2-dbe5855e41f5)\n\n* With just a part number, Versable generates market-ready titles, product descriptions, and specs in any required format. This means our customers are able to sell more, faster, and across more platforms than ever before.\n\n![uploaded image](/media/?type=post&id=90121&key=user_uploads/581453/b8baa292-22ab-4890-afad-8799b1ce1b5b)\n\n### **🙏** **Our Ask**\n\nWe’d love any intros to anyone managing ecommerce data at scale, especially\n\n1. Sellers managing industrial products like auto parts\n2. Sellers managing multiple marketplaces and platforms (eBay, Walmart, Amazon, etc.)\n3. Service providers supporting these sellers (PIM systems/ecommerce syndicators, etc.)\n\nShoot me an email at [tina@versable.ai](mailto:tina@versable.ai)!",
        "url": "https://www.ycombinator.com/launches/NRZ-versable-generate-your-auto-parts-catalog-with-ai",
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        "title": "Versable - AI-powered product data enhancement for the auto parts space",
        "tagline": "🚀 Supercharge your product data to help you sell more, faster.",
        "body": "Hi everyone! My name is [Christina](https://www.linkedin.com/in/christinaseong/), and I’m building [Versable](https://www.versable.ai/). We use AI to help auto parts manufacturers, retailers, and distributors generate market-ready product listings at scale.\n\n**The data problem in auto parts**\n\nAuto parts retailers get product data from hundreds of manufacturers, often riddled with inaccuracies, inconsistencies, and missing key values. This forces companies today to manually process and enhance this data line by line, causing a weeks to months long lag between receiving product data and actually being able to start generating revenue from those products.\n\nThis bottleneck means companies are slower to market and unable to onboard new products at the scale they want. Manufacturers also face challenges with data requirements, which limits their ability to sell across multiple retailers or even consider listing their own products on online marketplaces like Amazon or eBay, which have even stricter platform-specific content guidelines.\n\n**How Versable solves this 10x better than the status quo**\n\nVersable leverages AI to scan the web for tens of millions of auto parts listings and uses a fine-tuned LLM with RAG to instantly process, enhance, and transform product data. With just a part number, Versable generates market-ready titles, product descriptions, and specs in any required format. This means our customers are able to sell more, faster, and across more platforms than ever before.\n\nBy incorporating brand-specific voices and relevant SEO keywords, Versable ensures that in a market filled with near-perfectly competitive products, our customers can come out on top.\n\n![uploaded image](/media/?type=post&id=82840&key=user_uploads/581453/07aaedb4-ceef-4c5d-a8a5-270ac0c5e65e)\n\n**Our Ask**\n\n1. Connect us with companies dealing with auto parts (distributors, manufacturers, retailers)\n2. Reach out if you work with any e-commerce product data at scale! Always looking to connect with founders building other cool tools in the space. [tina@versable.ai](mailto:tina@versable.ai)\n3. Follow us on [LinkedIn](https://www.linkedin.com/company/versableai)!\n\n# ",
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        "title": "Exclusive: Fleek, an online market for vintage garment wholesalers, raises $25 million in funding | Fortune",
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    "country": "DE",
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    "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",
    "team_size": 70,
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    "launched_at": 1657122917,
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        "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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        "url": "https://www.uktechnews.info/2024/10/16/autone-secures-13-million-series-a-investment-led-by-general-catalyst/",
        "date": "Oct 15, 2024"
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        "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/",
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        "title": "Autone🔮 the Sales & Operations planning platform for retailers",
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        "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 ✌🏼",
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        "answer": "Booth AI is a B2B SaaS company that offers virtual photoshoot as a service (VPAAS) to e-commerce brands who sell physical goods. Submit basic photos of your product (CPG, apparel, etc), and receive hundreds of high-quality images of it. No more boring white-background photo studios images. Specify your preferred models, locations, and aesthetic with our brand guideline builder."
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        "full_name": "Nick Locascio",
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        "full_name": "Ian Baldwin",
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        "founder_bio": "Ian is an ML practitioner with experience across industries, ranging from self-driving cars to cameras on Mars. He has a PhD from Oxford, and has fielded technology at Zoox and NASA. He is a co-founder at Booth.ai, bringing generative machine-learning to e-commerce. ",
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        "date": "Feb 07, 2023"
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        "title": "Booth AI: Build no-code Gen AI apps",
        "tagline": "Go from prompt to full app in minutes.",
        "body": "🔥 [Booth.ai](http://Booth.ai) is your no-code Generative AI app builder, enabling you to create powerful AI solutions in minutes, not months. Check out our [demo video](https://framerusercontent.com/assets/OuoBfiorNSCbVJarMwG4I1GATaU.mp4), where we go from prompt to Gen AI application in minutes.\n\n![uploaded image](/media/?type=post&id=81851&key=user_uploads/96513/1f931ce6-71d9-410b-901d-1ab36b6255e7)\n\nWhether you need an internal tool for categorizing customer inquiries, need to do fuzzy PDF analysis at scale, or want to automate and schedule a Custom GPT - [Booth.ai](http://Booth.ai) has you covered.\n\nChoose from our library of 165 different nodes that can be connected in infinite ways. You can build it yourself with our no-code interface or use our AI Auto-Build feature to go from prompt to application in a single shot! We auto-create a dynamic interface UI so you can share your creation as a single-page app with a link.\n\n![uploaded image](/media/?type=post&id=81851&key=user_uploads/96513/bada6f09-f346-43ea-8d32-a0d0412a791c)\n\n![uploaded image](/media/?type=post&id=81851&key=user_uploads/96513/dd5bfa1a-8677-4c8a-88a3-a89630336d6b)\n\n**✋ Our asks**\n\nIf you're looking to build an AI internal tool or simplify your AI experimentation process - reach out, give [Booth.ai](http://Booth.ai) a try, and book a demo with us. We’re loading up all new accounts this week with 500 free credits. If you know a founder or operator who would benefit from [Booth.ai](http://Booth.ai), please contact us at [founders@booth.ai](mailto:founders@booth.ai).\n\nThanks!",
        "url": "https://www.ycombinator.com/launches/LIB-booth-ai-build-no-code-gen-ai-apps",
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        "created_at": "2024-07-01T17:51:21.810Z"
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      {
        "id": 69552,
        "title": "Booth.ai - Easy product photography with Generative AI",
        "tagline": "Create unique, engaging product images - all without a photographer",
        "body": "**Hi YC 👋**\n\nHigh quality product photography is a must for E-Commerce stores, but it gets costly fast - with an average of $300/SKU for new photography. That’s why [Ian](https://www.linkedin.com/in/ianabaldwin/) and [I](https://www.linkedin.com/in/nick-locascio/) started [Booth.ai](http://Booth.ai) to make quality product photography scalable and accessible to sellers of all sizes.\n\n![uploaded image](/media/?type=post&id=69552&key=user_uploads/96513/be88ecd8-fcd0-4309-a67d-519c46eced99)\n\n### **🔥 TL;DR**\n\n[Booth.ai](http://Booth.ai) is your personal product photographer, powered by Generative AI. Just describe your photoshoot in text, and we’ll place your product naturally in the generated scene.\n\n![uploaded image](/media/?type=post&id=69552&key=user_uploads/96513/e48ceaf4-8262-4c1f-a250-8853b7f9ef1c)\n\n### **🧠 How does it work?**\n\n[Booth.ai](http://Booth.ai) makes incredible Gen AI technology accessible and easy to use. Customers connect their Shopify stores to auto-import all of their products. Then they describe, in text, how they want their product to appear. [Booth.ai](http://Booth.ai) handles the rest by generating a scene around the product and producing a 4k image. We even support bulk image generation for stores with thousands of SKUs.\n\n![uploaded image](/media/?type=post&id=69552&key=user_uploads/96513/2edcd9c9-723f-4ce4-8dc5-95cd38973df6)\n\n### **🛍️ Who is** [**Booth.ai**](http://Booth.ai) **for?**\n\nOur ideal customer profile is an e-commerce business that sells a physical product, and currently spends > $10k yearly on visual imagery. This includes e-commerce aggregators, independent stores on Shopify, WooCommerce, Magenta, FBA, and larger brands with SKU counts that eclipse their photography budgets.\n\n### [✋](https://emojipedia.org/raised-hand/) **Our asks**\n\n1. If you run an E-Commerce business - reach out, give us a try, and book a demo [here](https://share.hsforms.com/1dSi0_0YSTLC4ic4tpeY42Ae1qx8?__hstc=121515287.d8ace17c3feac80f7acec81ca9243dd8.1673563844280.1676356189520.1676398984590.70&__hssc=121515287.1.1676398984590&__hsfp=1945899485)! Use our YC-network discount code YC30 for 30% off our plans.\n2. If you know a founder/operator in this space who would be interested in using Booth AI, please connect us to them - [founders@booth.ai](mailto:founders@booth.ai)\n\n### ",
        "url": "https://www.ycombinator.com/launches/I5o-booth-ai-easy-product-photography-with-generative-ai",
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    "website": "https://www.askluca.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pricing Strategy is one of the most powerful levers that retailers have at their disposal to create growth, yet it is underleveraged. Most retail pricing teams settle for making decisions in spreadsheets, shooting in the dark, and working backward from a cost-plus margin target, leaving a LOT of money on the table.\r\n\r\nOur founders experienced these problems at scale when they built pricing tech at Uber that made Uber a billion dollars in profit a year. They realized that retail was lacking the same quality and sophistication of price tooling. So, they built Luca.\r\n\r\nLuca is an AI-powered co-pilot for retail operators, which constantly identifies revenue and profit headroom, makes recommendations for price adjustments and saves countless work hours along the way. \r\n\r\nLuca is backed by Y Combinator, Menlo Ventures, and others.",
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        "full_name": "Tanvi Surti",
        "title": "Founder",
        "founder_bio": "CEO and Co-Founder at Luca. Before Luca, I spent a decade building product teams at Uber and Microsoft. At Uber, I led the pricing team that created ~$1B in margin improvements on our ridesharing business. ",
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      {
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        "full_name": "Yonah Mann",
        "title": "Founder",
        "founder_bio": "Co-founder and CPO of Luca. Previously led pricing teams at Uber Eats.",
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        "title": "Y Combinator-backed Luca aims to optimize retail prices at enterprise scale | TechCrunch",
        "url": "https://techcrunch.com/2023/04/27/luca-raises-cash-for-pricing-optimization/",
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        "title": "Luca - Meet the pricing co-pilot for e-commerce businesses.",
        "tagline": "We help retailers set prices and discounts that create 10% more profits and revenue, with 10% of the effort.",
        "body": "**tl;dr**\n\nLuca is a machine learning-powered co-pilot for retail, which constantly identifies headroom in your store, makes recommendations for price adjustments, and helps you manage decisions across all sales channels. \n\nWe are an ex-Uber Pricing team that is already helping retailers manage prices for over $50mill of revenue. [Get in touch](https://forms.reform.app/pqNBb1/early-access-1/kZx3w2) with us!\n\n**Our Story**\n\nWe are Yonah Mann and Tanvi Surti. We met while working at Uber, where we both worked on pricing technology. Our work cumulatively created over $1 billion in margin gains for Uber – and this experience made us realize that configurable revenue tools in the hands of operators could be incredibly powerful!\n\nSo, we are now on a mission to bring revenue optimization tools to retail, and build a fun company as we go along!\n\n![uploaded image](/media/?type=post&id=69842&key=user_uploads/814509/5422d569-a5ce-4f8a-bbc2-1cf3c2a98268)\n\n**The Problem**\n\nE-commerce teams have to react to large swathes of data from multiple channels to build a pricing and discount strategy, such as  –\n\n1. ⛅ Seasonal and Market trends, with changing customer price elasticities\n2. 👯 Competitor price changes or promotional campaigns\n3. 🚛 Inventory availability \n4. 🚢 Changing manufacturing and shipping costs\n\n_And_, they have to do this across 1000s of SKUs and across multiple stakeholder teams such as Merchandising, Marketing, Revenue, and Inventory. This level of complexity makes changing prices time-consuming and inefficient, while still leaving money on the table.\n\n**Our Solution**\n\n![uploaded image](/media/?type=post&id=69842&key=user_uploads/814509/004e0bac-15fd-49c9-a3af-d7d20e6bc40d)\n\nWe replace fragmented decision making in e-commerce teams with our pricing system that organizes, recommends and measures outcomes, ensuring that every product is priced in a way that optimizes revenue and profits. Here’s how –\n\n1. **👀 Observe:** We connect with the customer’s sales and inventory data sources (Amazon and Shopify to start, more to come soon), and create a real-time view of customer elasticities and conversion rates. \n2. **👉 Recommend**: We feed historical sales, competitor and market data into our machine learning model, combine it with inventory availability and make recommendations for price and discount adjustments.\n3. **🖐 Act:** We bubble up the recommendations over email and Slack, allowing the business to quickly act upon the data and push the changes to production across all their channels.\n4. **⚙ Configure**: Lastly, we allow the business to configure custom rules, such as competitor-based pricing guardrails or wholesale-price-based constraints.\n\n**Asks**\n\n* If you work in retail and would like to try our product, please sign up [here](https://forms.reform.app/pqNBb1/early-access-1/kZx3w2) and we will get in touch with you.\n* If you know someone in your network who would be interested in this, please drop us a note at [founders@askluca.com](mailto:founders@askluca.com)",
        "url": "https://www.ycombinator.com/launches/IAU-luca-meet-the-pricing-co-pilot-for-e-commerce-businesses",
        "votes": 52,
        "created_at": "2023-03-01T20:37:56.184Z"
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    "id": 28366,
    "name": "Vendora",
    "slug": "vendora",
    "former_names": [
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    "website": "https://www.vendora.io/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Vendora is building a generational company in one of the largest industries out there - grocery. We build software to serve the $1 trillion dollar (over 3% of US GDP) grocery industry. This ranges from point of sale, payments, e-commerce, inventory management, loyalty, and advanced analytics with more on the horizon. \r\n\r\nWe’re taking bleeding edge technology and an AI-focused approach to modernizing an industry stuck in legacy software and practices. Backed by Y Combinator and investors with deep expertise in retail, we are a team of operators from Amazon, Uber, Tesla, Figma and McKinsey in transforming a sector that touches us all.\r\n\r\n",
    "one_liner": "All-in-One Software for the $1T Grocery Industry",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1677283319,
    "tags": [
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      "Payments",
      "B2B",
      "Retail",
      "AI"
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    "isHiring": true,
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    "batch": "Winter 2023",
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/vendora",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/vendora.json",
    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/getvendora",
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      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 1224770,
        "full_name": "Sunny Singh",
        "title": "Founder",
        "founder_bio": "Sunny Singh grew up in supermarkets - his family owns and operates a mid-sized chain in the US. He has carried a passion for food and retail throughout his career. Prior to founding Vendora, Sunny was the Head of US Strategy & Expansion for Uber Grocery/Cornershop. He joined Cornershop from Amazon, where he spent years across their grocery businesses, speciality fulfillment, and search science and AI teams. Sunny graduated from Columbia University and is a proud native New Yorker. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sunnysng/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3816805d2f3c62d2f009311ab8030ad9621922c9.jpg"
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    "jobs": [
      {
        "id": 69135,
        "title": "Full Stack Software Engineer at Vendora (W23)",
        "url": "https://www.ycombinator.com/companies/vendora/jobs/HFjtfzf-full-stack-software-engineer-at-vendora-w23",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$70K - $160K",
        "equity_range": "0.15% - 0.80%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
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          "JavaScript",
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          "Node.js",
          "PostgreSQL",
          "React",
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    "news": [
      {
        "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/",
        "date": "Sep 06, 2023"
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    ],
    "launches": [
      {
        "id": 74433,
        "title": "🛒 Vendora - Ecommerce enablement for grocery",
        "tagline": "Vendora is a vertical saas platform that enables grocers to earn more revenue and better manage their operations online.",
        "body": "Hey all! I’m Sunny, the founder of [Vendora](https://www.vendora.io/).\n\n**tl;dr** At Vendora, we build vertical saas for the grocery industry - today we focus on e-commerce enablement, helping grocers make the most of their digital channels. Think of us as Shopify Meets Toast for supermarkets.  \n\n### Problem\n\nA monumental $800B grocery industry runs on outdated systems and manual processes. In an age where 12% of grocery sales have gone online, many grocers are getting left behind, lacking the tools to adapt and make the most of this emerging channel. Grocers need to adapt to compete with the Amazon and Walmarts of the world.\n\n### Solution\n\nVendora is solving this problem by being the one platform grocers need to engage with customers digitally. We make it easy for them to succeed online. \n\nBy connecting with their existing stack, we ingest their data, augment it through our AI powered workflows, and set up accurate, enhanced data feeds to their third parties. We also give them their own storefront (website and app) so they can own more of the customer relationship. Along with all this, we give them the tools to easily manage these channels, optimize their performance, and engage with their customers.  \n\n### Who am I?\n\n![uploaded image](/media/?type=post&id=74433&key=user_uploads/1224770/f850f527-6a20-494e-be39-33fa37d566cb)\n\nI’ve quite literally have been in the grocery space for my entire life. \n\nI grew up in grocery stores, working in my family’s supermarkets, seeing it go from a single 500 sq ft family store in Queens, NY to a chain of stores. I’ve seen it all first hand (stocking, the register, backoffice, you name it). \n\nProfessionally, I was the Head of US Strategy at Uber Grocery coming in through Uber’s acquisition of Cornershop, where I earned my startup stripes. I began my career at Amazon's US Grocery team, worked on ops for Amazon Fresh, and then the Search Science and AI team. I’ve seen how some of the best companies on the planet run things and I’m channeling that expertise into Vendora. \n\n### Ask\n\nKnow any grocers that want to start selling online or earn even more on existing channels? Send them our way. [founders@vendora.io](mailto:founders@vendora.io)",
        "url": "https://www.ycombinator.com/launches/JMX-vendora-ecommerce-enablement-for-grocery",
        "votes": 25,
        "created_at": "2023-08-28T14:59:06.995Z"
      },
      {
        "id": 69777,
        "title": "🛒🥭 Jaldi – South Asian Groceries Delivered!",
        "tagline": "Jaldi is the online supermarket for South Asians living in the US",
        "body": "Hey everyone!  Sunny here from [Jaldi](https://getjaldi.com/). \n\nTL;DR: **Jaldi delivers your favorite South Asian groceries, household items, and beauty products right to your door**. Give us a try (use discount code LaunchYC at checkout or [click here to have it autoapply](https://getjaldi.com/discount/LaunchYC)) and share with your friends (<https://linktr.ee/getjaldi>). \n\n### 🛒 **What is Jaldi?**\n\nJaldi is the online supermarket for South Asians living in the US. We deliver thousands of South Asian grocery, beauty, and household products right to customers’ doors through nationwide and same-day local delivery. Available at [getjaldi.com](http://getjaldi.com) and on [our mobile apps](https://getjaldi.onelink.me/0mSJ/j3y5iudn), we offer the most seamless shopping experience for anyone looking to explore the rich cultural diversity of South Asia or simply get a taste of home. \n\n![uploaded image](/media/?type=post&id=69777&key=user_uploads/1224770/0bf887ba-cb0f-499b-a287-d9447dfe5536)\n\nCurrently we offer nationwide shipping of non-perishable items (get your [Kurkure](https://getjaldi.com/products/kurkure-masala-munch-82g/?variant=%2044438553690429), [Thums Up](https://getjaldi.com/products/thumps-up-300-ml/?variant=%2044141331218749), [Dals](https://getjaldi.com/pages/dal-beans?filter.p.tag=Nationwide), etc.) and local same-day delivery of a full selection of South Asian groceries ([dahi](https://getjaldi.com/products/0rganic-whole-milk-dahi-2-l?variant=44141385253181), fruits & vegetables, frozen meals, etc.) in New Jersey. \n\n### 🤔 **Why does Jaldi exist?**\n\nWhile the last five years saw a fivefold increase in US online grocery penetration, little has changed for South Asians living in the US. Few South Asian supermarkets offer delivery and often struggle on inventory and quality when they do. Selection online can often be expensive, elusive, and leave the customer wanting for more. \n\n**The South Asian consumer deserves better. That’s why I started Jaldi.** \n\nSouth Asians in the US are the highest earning and fastest growing ethnic demographic - yet there are few shopping experiences that cater specifically to them. Jaldi is building the first-class e-commerce experience for the South Asian diaspora. The next wave in retail will be cultural commerce, how communities shop and interact with what they buy. Jaldi is leading the way in this emerging space. \n\n### 🧔🏻‍♂️ **Why am I the one building this?**\n\nI’ve spent my life in this space. I grew up in South Asian supermarkets - my family runs a large chain in the US. My first job out of college was working on Amazon’s grocery business, wearing many hats over the few years I spent there. Most recently, I was the Head of US Strategy & Expansion for Uber’s Grocery business. I’ve seen the grocery industry (and specifically the South Asian consumables space) from multiple angles and see the opportunity to build an amazing customer experience here. \n\n### 💥 **The Deal**\n\nOrder! Browse the site ([check out our Popular Picks](https://getjaldi.com/pages/popular-picks) if you can’t make up your mind).You can use the discount code LaunchYC at checkout for 10% off and free shipping on your first $50 order. \n\n* [Download the app](https://getjaldi.onelink.me/0mSJ/j3y5iudn)\n* [Go straight to](https://getjaldi.com/) [getjaldi.com](http://getjaldi.com)\n\n### 🙏🏽 **Our Ask**\n\nFollow us and share! We’ll be highlighting some of our favorite products and special deals on our socials, help us spread the word!\n\n* [Facebook](https://www.facebook.com/getjaldiofficial)\n* [Instagram](https://www.instagram.com/getjaldi/)\n* [Twitter](https://twitter.com/getjaldi)\n* [Pinterest](https://www.pinterest.com/getJaldi/)\n* [Linkedin](https://www.linkedin.com/company/getjaldi)\n\n### 🗣️ **What are customers are saying?**\n\n_I love your service. Please accept few more orders in future._ \\[He bought all of our inventory on a product\\]_. Great work! Thank you for your business_ \n\n_Sunny!!! I got the groceries. Seamless process, actually so smooth._\n\n_Honestly, I had never stepped foot into a South Asian supermarket and didn't know what to expect. Ordered some of the recommended products, now I can't get enough of Thums Up and Kurkure!_\n\n![uploaded image](/media/?type=post&id=69777&key=user_uploads/1224770/6576e5fd-0ca9-4e38-93d8-1ad4934e03ac)\n\n_Screenshot shared by an enthusiastic batchmate and Jaldi fan!_",
        "url": "https://www.ycombinator.com/launches/I9R-jaldi-south-asian-groceries-delivered",
        "votes": 159,
        "created_at": "2023-02-28T20:07:14.007Z"
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    "id": 28759,
    "name": "Branch AI",
    "slug": "branch-ai",
    "former_names": [
      "Branch AI",
      "Apiflow"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a6abe17a364c1113dea922a968293da0024ff5af.png",
    "website": "https://www.branch-ai.com",
    "all_locations": "Singapore, Singapore",
    "long_description": "Boost conversions & organic SEO traffic by adding AI to your search box, unlocking personalized answers, suggestions, comparisons & more\r\n\r\nSolutions\r\n- Add AI Overviews to Search (Boost Conversions) \r\n- Save Answers as Landing Pages (Boost Organic SEO)",
    "one_liner": "AI Overview Search, as a Service",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1708944337,
    "tags": [
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      "B2B",
      "Retail",
      "Search",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Inactive",
    "industries": [
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      "Retail"
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    "regions": [
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      "Southeast Asia"
    ],
    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/branch-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/branch-ai.json",
    "year_founded": 2023,
    "city": "Singapore",
    "country": "SG",
    "linkedin_url": "https://www.linkedin.com/in/govindchandrasekhar/",
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    "primary_partner": {
      "name": "Aaron Epstein",
      "url": "https://www.ycombinator.com/people/aaron-epstein"
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    "founders": [
      {
        "user_id": 31801,
        "full_name": "Govind Chandrasekhar",
        "title": "Founder",
        "founder_bio": "Co-founder @ Branch AI (YC S23) | Previously co-founder @ Semantics3 (YC W13, acquired by Hearst Magazines) | ex Machine Learning lead @ Twitter (recommendations)",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/govindchandrasekhar",
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        "full_name": "Ishan Agrawal",
        "title": "Founder",
        "founder_bio": "Co-founder @ Branch AI (YC S23). \nPreviously Group CTO @ Funding Societies (350M raised, scaled the company from Seed to Series D)",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/ishanagrawal",
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    "news": [
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        "title": "Former Funding Societies CTO Ishan Agrawal Launches YC-Backed Branch AI - Fintech Singapore",
        "url": "https://fintechnews.sg/89305/ai/former-funding-societies-cto-ishan-agrawal-launches-yc-backed-branch-ai/",
        "date": "Feb 26, 2024"
      },
      {
        "title": "Ex-Funding Societies CTO launches YC-backed ecommerce AI startup",
        "url": "https://www.techinasia.com/exfunding-societies-cto-launches-ycbacked-ecommerce-ai-startup",
        "date": "Feb 26, 2024"
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    ],
    "launches": [
      {
        "id": 78740,
        "title": "Branch AI - State-of-the-art Ecommerce search, instantly",
        "tagline": "Powered by AI that learns your catalog and tunes itself to drive conversions",
        "body": "### **The Problem**\n\n* [**Search queries are becoming more conversational**](https://blog.branch-ai.com/second-order-effects-of-ai-search-from-keywords-to-intent-63b3b9fa20e8) (ChatGPT effect). However, most Ecommerce retailers & brands still use keyword search tools resulting in lost revenue for tail queries.\n* Search providers give you tools to build search engines, **but leave relevance engineering up to you** (i.e. tuning of the search).\n* Tuning search to maximize conversions is [**complicated & expensive**](https://blog.branch-ai.com/what-it-takes-to-build-effective-search-8a2901a9a943) (involves stitching together embeddings, rankers, NLP models, heuristics & annotated feedback).\n* DIY embeddings and models are easy to experiment with. But building **production-grade deployments requires catalog-specific tuning**, which can unlock 20-30% better accuracy & conversions.\n\n### **The Solution**\n\n![uploaded image](/media/?type=post&id=78740&key=user_uploads/31801/a4c105e8-a6a6-41f0-977c-e09de9b09233)\n\n**Step 1 - Upload/Connect Catalog:** Upload a list of products or connect to an existing search database or platform (e.g. Elastic or Shopify).\n\n**Step 2 - LLM-powered Tuning**: This happens under the hood automatically. We use LLMs to train catalog-specific embeddings, rankers & query rewriters, bootstrapped from our proprietary Ecommerce-specific models.\n\n**Step 3 - AI APIs**: With zero effort, businesses get:\n\n1. _Search API_: Query → Ranked Products (for end-to-end query rewriting, hybrid retrieval & reranking)\n2. _Query Understanding API_: User Query → Catalog-Aware Query (for DIY query expansion/relaxation)\n3. _Embeddings API_: Query or Product → Catalog-specific Embedding (for DIY retrieval)\n4. _Reranking API_: Candidate Products → Re-ordered Products (for DIY precision improvements)\n\n**Step 4 - Preferences**: Users can control search behavior using:\n\n* _Merchandising Strategies:_ Execute smart strategies using simple instruction templates (e.g. “boost Apple Vision Pros to visitors looking for gifts”)\n* _Feedback:_ Demonstrate examples of preferred search results (models learn from these “few-shot”)\n* _Maintenance Jobs:_ LLMs periodically evaluate search results (e.g. for queries with zero results) and produce training data to fix gaps\n\n### **Our Ask**\n\n* If you want a better search with lower effort for your Ecommerce store, contact us via [email](mailto:govind@branch-ai.com) or [LinkedIn](https://www.linkedin.com/in/govindchandrasekhar/).\n* If you’d like a free evaluation of your site search, submit a request [on our website](https://www.branch-ai.com).\n\n### **About Us**\n\n* [Govind](https://www.linkedin.com/in/govindchandrasekhar/) was previously co-founder of [Semantics3](https://www.ycombinator.com/companies/semantics3) (YC W13), an Ecommerce catalog AI company, from 2011 to 2020.\n* Govind & [Praveen](https://www.linkedin.com/in/praveens07/) (founding engineer) built embeddings, rankers, and transformer-based sequence models at Twitter that directly drove 1MM+ DAUs.\n* [Ishan](https://www.linkedin.com/in/ishanagrawal/) was CTO at Funding Societies, the largest digital financing Fintech in Southeast Asia, where he built and scaled the technology and business from Seed to Series D.\n\n### **Our Vision**\n\nTo serve as an Ecommerce AI platform for brands and retailers. We already see that our models do better than mainstream alternatives at out-of-domain tasks like recommendations, assortment curation, insight extraction (from query text), marketing content generation (from query text), in-session personalization, and event-based ranking.",
        "url": "https://www.ycombinator.com/launches/KU0-branch-ai-state-of-the-art-ecommerce-search-instantly",
        "votes": 27,
        "created_at": "2024-02-26T15:56:38.525Z"
      }
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    "id": 28827,
    "name": "Airgoods",
    "slug": "airgoods",
    "former_names": [
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    "website": "https://airgoods.com/",
    "all_locations": "New York City, NY, USA",
    "long_description": "Trusted by independent grocers across America, Airgoods is the AI-native distributor transforming how stores discover, order, and sell the products their customers want. \r\n\r\nBy combining proprietary data with automation across discovery, purchasing, receiving, and merchandising, Airgoods gives independent grocers the intelligence and operating leverage once reserved for the largest retail chains.",
    "one_liner": "The modern distributor for grocers.",
    "team_size": 10,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1689699732,
    "tags": [
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      "Supply Chain",
      "Food & Beverage"
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    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "country": "US",
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        "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)",
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        "body": "Hi everyone! We - [Wael](https://www.linkedin.com/in/walsallami/) and [Kenan](https://www.linkedin.com/in/kenan-kaymakcan/) - are building a platform for retailers to match their invoices with their purchasing orders.\n\n**The Problem: Retailers are overpaying their vendors**\n\nRetailers are juggling a lot of internal and market pressures­–inflation, low margins, high turnover, etc. They don’t have the time and resources to stay on top of their entire operations. As a result, we discovered that they can’t keep track of the discrepancies between purchase orders and vendor payments, leading them to routinely overpay their vendors.\n\n**Solution: Martola, automatic matching between your invoices and purchase orders**\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/af5a9cbe-91a6-4c5c-ade3-5e3d8861bf47)\n\nMartola requires minimal intervention on the retailer’s side, matching the necessary lines on their purchase orders to their invoices and alerting them to discrepancies such as price and quantity mismatch.\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/7ac16502-3481-446b-a1fd-234b738acc5f)\n\nRetailers can follow up with the vendor or update the purchase order on their end.\n\nWe decided to focus on solving this critical pain point as our initial scope. Our long-term vision is to capture retailers by solving for this problem with a clear business case and expand our product suite to address retailers’ other challenges.\n\n**Our ask**\n\n* If you are a retailer and interested in our solution or know any retailer that can be interested, please reach out to us at [founders@martola.com](mailto:founders@martola.com)\n* Investors, please reach out to [founders@martola.com](mailto:founders@martola.com)\n\nThank you from Wael and Kenan\n\n![uploaded image](/media/?type=post&id=73245&key=user_uploads/417236/8c35052c-c3bd-4a80-8683-a52f0af12752)\n\n",
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        "body": "### Problem\n\nLiquor stores run inefficiently. Operators rely on paper and phone interactions with suppliers, do not accurately maintain inventory and prices, miss valuable discount periods, struggle to monitor regulatory changes, and do not capitalize on new revenue streams. \n\n### Solution\n\nTransformity is a point-of-sale system purpose-built for liquor stores that integrates with their suppliers, automates manual work, and opens new sources of revenue. Transformity provides:\n\n1. **Supplier integration**: Provides a digitized catalog from liquor wholesalers, including all available products, pricing & discounts.\n2. **Purchasing decisions**: Generates purchase orders that optimize inventory based on pricing and sales.\n3. **Automatic inventory tracking**: Receives digital invoices to seamlessly maintain inventory and prices.\n4. **Regulatory monitoring**: Automatically tracks monthly changes to liquor regulatory requirements.\n5. **Additional revenue streams**: Integrates with delivery and e-commerce platforms.\n\n### Customer response\n\n> _“Transformity is exactly what we needed. A system built by liquor store owners for liquor stores.”_ - Rason Bell, Little Rooster Liquors\n\n![uploaded image](/media/?type=post&id=73720&key=user_uploads/992509/dedbfa6c-14d5-4e24-a281-bb015ded6a9b)\n\n_Our first user in action!_\n\n### Team\n\nJay and Param both come from families who have owned liquor stores across 3 states for over 20 years. They grew up working at their parents’ stores. They’ve been close friends since college and worked as engineers @ Amazon.\n\n### Our request\n\nIf you know anyone in the liquor industry, we’d love to chat! Even connecting us to your favorite liquor store would help. Please reach out at [param@transformity.tech](mailto:param@transformity.tech).",
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        "url": "https://www.ycombinator.com/companies/sante/jobs/244pt5F-senior-engineer-money-movement",
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        "location": "New York, NY, US",
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        "id": 73086,
        "title": "Santé - The all-in-one POS for liquor stores",
        "tagline": "Manage your business in one powerful application specifically built for liquor stores.",
        "body": "# Overview\n\nSanté is the all-in-one POS for liquor stores. Our mission at Santé is to empower tens of thousands of liquor store owners to run their businesses more efficiently using modern software.\n\n# Problem\n\n91% of liquor stores are independently owned and operated. Stores are often understaffed and rely on antiquated systems to manage day-to-day operations. A few examples of common problems for liquor stores:\n\n* Spending hours per week on manual data entry for inventory receiving and creating purchase orders.\n* Dealing with complex interstate regulations to sell liquor online (a growing trend).\n* Working with poor integrations for local delivery (Drizly, DoorDash, Instacart, etc).\n* Mishandling products at checkout because many beers/wines do not have barcodes.\n* Losing sales due to poor integration between their POS and marketing tools.\n* Losing a meaningful portion of their inventory to theft ($5B+ lost across the industry annually).\n\nIn fact, one of our early customers called this industry a “dinosaur industry” after sending us this picture:\n\n![uploaded image](/media/?type=post&id=73086&key=user_uploads/944994/e85195fe-bd46-4385-9b1f-6fc29d05eff4)\n\n# Solution\n\nWe’re helping independent liquor stores run thriving businesses with a POS built from the ground up to serve their specific needs:\n\n* **Simple Receiving:** Saving hours per week with automated inventory receiving and purchase order management\n* **Theft Monitoring:** Using RFID tags on every bottle to track when stolen bottles are leaving the store\n* **Compliance Management:** Source of truth on state-by-state shipping so that stores can open a new revenue stream and ship to all available states across the country\n* **Robust integrations:** Cutting costs by giving store owners all the tools they need to run their business with one subscription to Santé\n\n# Founders\n\n[@Darren](https://www.linkedin.com/in/darrenfike/), Santé’s CEO, was the top sales rep at his last two startups, and he has a passion for wine. Last year, he realized that his favorite local liquor stores in NYC still heavily rely on pen and paper. To learn more about the problem, he spent the next four months working at Frankly Wines on nights and weekends and interviewed over a hundred liquor store owners.\n\n[@Antoine](https://www.linkedin.com/in/antoinebalaresque/), Santé’s CTO, is a UC Berkeley alum and has founded multiple startups in the past in robotics, e-commerce, and SaaS. He is originally from France.\n\n# Give us a hand!\n\nHave any friends or family that work in the liquor store industry that would be interested in a casual discovery call? \n\nReach out to Darren at [darren@santehq.com](mailto:darren@santehq.com) to coordinate an intro. ",
        "url": "https://www.ycombinator.com/launches/J0o-sant-the-all-in-one-pos-for-liquor-stores",
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        "created_at": "2023-07-14T18:31:57.403Z"
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        "founder_bio": "Generative AI Founder @Presti AI | Furniture imagery with AI 🚀 |\n",
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        "id": 83443,
        "title": "Presti - Product photos for the furniture industry with GenAI",
        "tagline": "We offer a faster and cheaper solution to create product photos for furniture companies.",
        "body": "### **TL;DR**\n\n[**Presti**](https://www.presti.ai/) offers a faster and cheaper solution to create Product photos for furniture companies. **We currently serve 100 paying B2B users with a 10% growth week over week.** Try it for free [**here.**](https://app.presti.ai/)\n\n**—**\n\n### **Team**\n\nHi everyone, we are [Abdellah](https://linkedin.com/in/abdellah-lamrani-alaoui-6288a4a6), [Hamza](https://linkedin.com/in/hamza-bennis-143635a6), [Nabil](https://linkedin.com/in/nabil-toumi-b58b0084), and [Saad](https://linkedin.com/in/bencherifs) (from left to right in the picture). We’ve been close friends since our time at Ecole Centrale Paris 10 years ago and have developed strong AI expertise at top tech companies like Uber and BCG Gamma.\n\n![uploaded image](/media/?type=post&id=83443&key=user_uploads/1130049/acecfeb9-0687-4da3-9d37-43facfab4f45)\n\n### **Problem**\n\nFurniture companies spend millions and months each year on photoshoots or CGI to create product images.\n\nThey also can’t use any genAI tools because:\n\n1\\. General models fail to produce quality results for furniture products\n\n2\\. The industry requires specific, unique features that standard tools don't offer.\n\n### **Solution**\n\n_How does it work?_ \\\nWith Presti, users can upload a simple product image and stage it in any environment within seconds. Our platform also enables users to manage all aspects of product visuals. For example, users can change the color and texture of their products or also have the ability to generate consistent visuals for an entire collection.\n\n_How did we address the problem?_ \\\nWe've developed a specialized diffusion model optimized for furniture, delivering studio-quality results. Additionally, we’ve launched over 10 AI-driven features specific to the industry\n\n_The tool_\\\nTry out Presti for free [**here.**](https://app.presti.ai/)\n\n![uploaded image](/media/?type=post&id=83443&key=user_uploads/1130049/5776b364-c337-459f-99cb-d0d32be93318)\n\n### **Ask**\n\nIf you're **a furniture company** or **connected with a furniture brand**, feel free to contact us at [founders@presti.ai](mailto:founders@presti.ai)",
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        "created_at": "2024-08-26T23:24:03.980Z"
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        "full_name": "Augustin Baudoin",
        "title": "Founder",
        "founder_bio": "COO @ Rastro - Launch products faster\n\nPreviously Ops @ Uber and DS @ Criteo / French Gov.",
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        "user_id": 1989386,
        "full_name": "Papa Sougou Wele",
        "title": "Founder",
        "founder_bio": "CTO @ Rastro: the fastest way for retailers to launch thousands of products.",
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        "id": 95204,
        "title": "Rastro AI: launch products faster",
        "tagline": "The fastest way for retailers and distributors to launch new product lines",
        "body": "I used to be an AI lead on Shopify’s catalog. We worked with everything from sex toys (real story) to lightbulbs, for 2bn products. Chaotic catalogs, and lots of war stories.\n\nSince then, we heard the same problem from large catalog merchants like Sunco. Vendors send them Excel sheets with 30% missing data, inconsistent product identifiers and blurry images.\n\nOur catalog agent lives for these headaches. Share any vendor data, pull competitor pricing and product specs, generate images, standardize attributes and output products at scale.\n\n![uploaded image](/media/?type=post&id=95204&key=user_uploads/1651987/c9dffef9-b2c2-4762-a90f-fdce9c5a2b63)\n\nThe result? A customer told us “[Rastro.AI](http://Rastro.AI) gave us a new scale”. We get thousands of products out of their backlog, and quality listings online.\n\n**Ask**: do you know any retailers or distributors with 5k+ products? We’ll help them launch their next product line in the first month, or offer a refund. \n\n![uploaded image](/media/?type=post&id=95204&key=user_uploads/1651987/f45b9b48-912f-44a4-bb47-f80019f8a058)\n\n",
        "url": "https://www.ycombinator.com/launches/OlY-rastro-ai-launch-products-faster",
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        "created_at": "2025-11-05T23:15:43.974Z"
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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",
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        "full_name": "Manish Chauhan",
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        "full_name": "Sanket Munjal",
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        "id": 83656,
        "title": "SureBright: Offer your own Apple Care-like warranty program in 10 minutes!",
        "tagline": "We enable e-commerce merchants and companies to offer insurance products like product warranties and shipping insurance with zero time and resource investment.",
        "body": "**tl;dr: Embedding these insurance products generates additional revenue, protects customers, and boosts customer loyalty at zero cost. And it’s as easy as signing up for Facebook if you still remember that!** 😉 — [**_Talk to us._**](https://meetings.hubspot.com/manishchauhan/discussion-booking-extended-hours)\n\n_—_\\\n\\\nHello, everyone! We are Manish and Sanket (right to left), the team behind SureBright. We started our professional journey together with our first job at Samsung Research Institute 14 years ago. \\\n\\\n[**Manish**](https://www.linkedin.com/in/manishchauhan01/) **(CEO)**, a graduate of the University of Waterloo (MMath, CS) and INSEAD (MBA), has developed products for industry giants like Amazon and serves on the board of the InsurTech Association. [**Sanket**](https://www.linkedin.com/in/sanketmunjal/) **(CTO)** has led engineering departments at insurtechs such as Policy Bazaar, which has become a household name in India. Together, we bring 25 years of combined experience in insurtechs, startups, major tech companies, and business.\n\n![uploaded image](/media/?type=post&id=83656&key=user_uploads/456731/48122b44-2e46-4967-8d6f-81c645ca259d)\n\nWarranty and insurance distribution in e-commerce has seen minimal change, with the industry evolving slowly. At Surebright, we're on a mission to revolutionize this by leveraging the latest advancements in generative AI. Our platform enables US and Canadian merchants to seamlessly integrate Apple Care-like warranty programs for any eligible product, from ovens to bikes. We achieve this with nearly zero onboarding and operating costs, allowing merchants to offer these warranties in just minutes across any sales channel.\n\n![uploaded image](/media/?type=post&id=83656&key=user_uploads/456731/62878cfc-f33a-4731-82c6-022f2614970f)\n\n### **What is the problem? ❌**\n\nThe cost of offering product warranties is exponentially high for merchants and insurers. As it follows,\n\n1. **Resource-Intensive Integration:** Merchants must create a file transfer-based system to integrate with insurers. Additionally, they need to develop internal tools to apply the correct warranty plans to products, build custom UIs, and manage data collection, sharing, and tracking to meet both insurer and regulatory requirements. This entire process can take **six months to a year to go live**.\n2. **Recurring Additional Work:** Maintaining integrations and tools requires dedicated engineering teams. Running the warranty program also requires dedicated time from the operation team. This usually requires **additional hiring**.\n\nBelow is what the current merchant landscape looks like,\n\n![uploaded image](/media/?type=post&id=83656&key=user_uploads/456731/0e70aa2b-9c2e-41d7-bc6d-6b292f383590)\n\n### **How is SureBright Solving these problems? 🎉**\n\nSureBright’s **warranty program runs on auto-pilot**, empowering merchants of all sizes and providing the following key benefits:\n\n1. **99% less onboarding time, no onboarding or operating costs**, and no recurring tasks or hiring required. Our end-to-end automated solution ensures you never worry about the warranty program.\n2. **Cover any product** under warranty and offer other insurance products, such as Shipping Insurance, without lifting a finger.\n3. **Enjoy the highest warranty conversions** in the industry, averaging around 20.2%.\n\n**With these benefits, we help merchants boost their bottom line** by up to 12% through warranty margin share. Offering warranties also increases customer trust in the brand, leading to 15.6% more conversions and a 14% increase in Average Order Value. In addition, customers get a better post-purchase experience, resulting in more repeat customers and fewer negative reviews.\n\n### **The “aha” moment? 🎯🧠🧨**\n\nWe began our journey to help smaller merchants (<$100M in sales) offer warranties. But, within 3-4 months of going live, we began attracting interest from larger merchants. **The “aha” moment came when Insurance companies started utilizing our platform for their customers.** This was a pivotal moment, leading us to develop SureBright as the Stripe for embedded e-commerce insurance products.\n\nToday, our customers include a diverse range of merchants and marketplaces with $0.5M to $1B in sales, insurance companies, tech firms involved in consumer product purchase journeys (such as Buy Now Pay Later), warranty management companies, and other insurtechs.\n\nYou can explore our consumer journey with partners such as [**Blackstone**](https://blackstoneproducts.com/products/blackstone-pizza-oven)**, **[**Magnum Bikes**](https://magnumbikes.com/products/magnum-pathfinder-t)**, **[**WalkingPad**](https://www.walkingpad.com/products/walkingpad-c2-foldable-walking-machine)**, and Street Cred Capital (BNPL).**\n\n### **How can you help? 🙏**\n\nIf you know any merchant, marketplace, or company participating in the consumer purchase journey, such as Buy Now Pay Later and Checkout Management Companies, please make the introduction. We and they will both be very thankful! Email: [manish@surebright.com](mailto:manish@surebright.com) or [**_BOOK A CALL DIRECTLY WITH US._**](https://meetings.hubspot.com/manishchauhan/discussion-booking-extended-hours)",
        "url": "https://www.ycombinator.com/launches/LlI-surebright-offer-your-own-apple-care-like-warranty-program-in-10-minutes",
        "votes": 19,
        "created_at": "2024-09-01T21:55:28.371Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "At Anglera, we're developing a suite of AI agents to help e-commerce companies run their operations more efficiently. Our flagship agent helps our customers onboard, enrich, and manage their product data, reducing time per product from 15 mins down to 5 seconds.\r\n\r\nWe previously developed ML to automatically enrich millions of products at Uber Eats, and we're now on a mission to automate the most common manual workflows for every e-commerce business.",
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        "full_name": "Amay Aggarwal",
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        "founder_bio": "Ray is the Co-Founder of Anglera. He graduated from Stanford with a BS and MS in Computer Science, specializing in Systems & AI. Previously, he launched the first CPG Ads products at Uber Eats, and worked in engineering roles at Meta, Verkada, & Microsoft.",
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        "id": 91364,
        "title": "Anglera: AI Product Data Enrichment",
        "tagline": "We're building the product data infrastructure for the future of AI-driven commerce",
        "body": "**TLDR:** Anglera is the foundational AI layer that transforms messy product data into structured, searchable, enriched content at scale.\n\n🎥 **See our AI agents in action**: https://youtu.be/zlLaT-Uv9Xs\n\n---\n\n### **🔥 The Problem**\n\nWhile everyone's building AI apps, there's a massive infrastructure gap underneath: **product data is broken at scale.**\n\n* **Poor Discoverability** - 20% of searches return zero results due to missing/inconsistent information\n* **Low Conversion** - Data errors cause 23% loss in impressions and 14% drop in conversions\n* **Slow Time-to-Market -** Weeks of delays getting new products live due to manual data entry\n\n**Result:** Billions in lost revenue from broken infrastructure.\n\nThe tech stack looks like this today:\n\n```\nBeautiful frontend shopping UI/UX\n↓\nIntelligent search & discovery algorithms\n↓\nMessy, unstructured product data ← ✨ We fix this\n```\n\n### **🧠 Our Approach**\n\nWe've built AI agents that automatically transform any product data source into clean, structured, enriched content:\n\n* **Input:** Messy spreadsheets, PDFs, images, brand websites, supplier feeds \n* **Output**: Complete, enriched product catalogs, continuously optimized for AI discoverability\n* **Scale:** Process thousands of SKUs in seconds, not weeks.\n\n---\n\n### **🎯 Why Now?**\n\nTwo massive shifts are happening simultaneously:\n\n1. **AI Search Explosion:** ChatGPT, Perplexity, and others are becoming primary product discovery channels\n2. **Agentic Commerce:** AI agents are starting to make purchases autonomously\n\n---\n\n### **🤝 The Founding Story**\n\n![uploaded image](/media/?type=post&id=91364&key=user_uploads/1164027/c4bc63d9-8268-43bc-8c95-118fbac2588b)\n\n**Amay** and **Ray** - Stanford AI grads who lived this pain at Uber Eats scale:\n\n* **Amay:** Led Catalog AI, enriching millions of SKUs\n* **Ray:** Led CPG Ads, scaling product-driven ad campaigns\n\nNow we're bringing that same level of sophistication to every retailer.\n\n---\n\n### **🔮 The Vision**\n\nImagine a world where:\n\n* Every product is instantly discoverable by AI agents\n* Product information flows seamlessly between systems\n* New products go to market in hours, not months\n\n---\n\n### **🙏 Our Ask**\n\nWe're looking for connections to:\n\n* **Technical leaders** at retailers/marketplaces dealing with product information challenges\n* **AI shopping, search, or marketplace founders** who might benefit from what we're building\n\n\\- Amay, Ray & the Anglera Team\n\nWebsite: [www.anglera.com](https://www.anglera.com)\n\nEmail: [founders@anglera.com](https://founders@anglera.com)",
        "url": "https://www.ycombinator.com/launches/Nlc-anglera-ai-product-data-enrichment",
        "votes": 13,
        "created_at": "2025-06-17T13:40:54.115Z"
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      {
        "id": 82584,
        "title": "🛍️ Anglera: The smartest way to manage e-commerce products",
        "tagline": "Turn complex product data into high-converting listings in seconds",
        "body": "**TLDR**: [Anglera](https://www.anglera.com) is an AI-powered platform designed to help e-commerce companies manage their product data. We empower brands, retailers, and marketplaces to effortlessly onboard, enrich, and list hundreds of product SKUs. This saves time and improves sales. Contact us to learn more: [amay@anglera.com](mailto:amay@anglera.com)\n\n### **👋 Who we are**\n\nHello! We’re [Amay](https://www.linkedin.com/in/amayaggarwal/) & [Ray](https://www.linkedin.com/in/\\~iyer), and we’re on a mission to redefine how e-commerce companies manage their product data.\n\n![uploaded image](/media/?type=post&id=82584&key=user_uploads/1164027/42a17226-77c0-4c1d-8fb9-cab72b34aaf6)\n\nWhether you’re a brand, retailer, or marketplace, we know that dealing with e-commerce products can be challenging. We faced this problem first-hand at Uber Eats, where we built tech to enhance millions of listings uploaded by our restaurant and retail partners.\n\n### **🔍 Problem**\n\nMost rapidly growing e-commerce companies spend several hours each week managing their products across sales channels. Teams drown in spreadsheets, manually adding descriptions, images, and attributes for hundreds of items. This time-consuming process diverts focus away from actually growing their core business.\n\n### **💡 Solution**\n\nWe’re tackling the $20B Product Information Management (PIM) industry by building the smartest platform for managing e-commerce product data.\n\n<https://youtu.be/D3jKEOzbD-s>\n\nAnglera empowers every e-commerce business with their own AI catalog ‘expert’ trained on thousands of top-converting product listings. We not only help our customers onboard new products faster, but also improve all of their listings to drive better sales.\n\n**Key Features:**\n\n* **✅ Faster Time-To-Market**: Instantly onboard products from any source (Website URL, Spreadsheet, PDF, etc.)\n* **​✅ Better Sales**: Automatically enrich descriptions, images, & attributes to drive conversion\n* **✅ Wider Reach**: Start selling on new channels with just one click (Shopify, Amazon, etc.)\n\nWe measure success for our customers with two simple metrics: 1) $ increase in sales, and 2) # of hours saved.\n\n### **🙏 Asks**\n\n1. **Let’s chat** if you're a brand/retailer/marketplace looking to improve how you manage your product listings. Happy to share data-driven learnings from years of experience working on this at Uber Eats.\n2. **Introduce us** to any e-commerce companies in your network. Whether it's a friend running their own brand or someone who works at a larger retailer or marketplace, we’d love to connect.\n\nContact: [amay@anglera.com](mailto:amay@anglera.com) | Website: [www.anglera.com](http://www.anglera.com) | Calendar: [Book Time](https://calendly.com/amay-anglera/15-min)",
        "url": "https://www.ycombinator.com/launches/LU0-anglera-the-smartest-way-to-manage-e-commerce-products",
        "votes": 45,
        "created_at": "2024-07-30T21:50:52.321Z"
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    "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,
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    "subindustry": "B2B -> Retail",
    "launched_at": 1729012958,
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    "city": "Paris",
    "country": "FR",
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      "name": "Nicolas Dessaigne",
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        "user_id": 1934075,
        "full_name": "Thibaut Pellegrin",
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        "user_id": 1951235,
        "full_name": "Martin Dimitrov",
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        "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.",
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      {
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        "full_name": "Elie Dufeu",
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        "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.",
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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": 30446,
    "name": "Kirana AI",
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    "website": "https://www.kirana-ai.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Kirana AI is building the first full-stack AI store manager.\r\n\r\nWith 100 years of family experience owning and operating grocery stores, we are starting there to prove our impact.\r\n\r\nOur first product utilizes an on-premise GPU that monitors the store 24/7, scans for theft, looks for workplace health and safety issues, and optimizes customer service. \r\n\r\nWith future POS/ordering data integrations, our manager will automate many of the day-to-day tasks of running a store, such as ordering, pricing, assortment, and delegating.",
    "one_liner": "AI manager for physical stores",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1747354989,
    "tags": [
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      "Retail",
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    "nonprofit": false,
    "batch": "Spring 2025",
    "status": "Acquired",
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      "America / Canada"
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    "year_founded": 2025,
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      "url": "https://www.ycombinator.com/people/david-lieb"
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        "full_name": "Nicholas Sleeper",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO of Kirana AI, an AI store manager for grocery stores. ",
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        "linkedin_url": "https://www.linkedin.com/in/nicholas-sleeper-209641179/",
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      {
        "user_id": 2456105,
        "full_name": "Prateek Pinisetti",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Kirana AI, Ex-Optiver SWE, Chess National Master.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/prateek-pinisetti-606287171/",
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        "title": "Kirana AI: Full-Stack AI Store Manager",
        "tagline": "Grocery stores just got smarter—say hello to our AI manager.",
        "body": "Prateek and I are building a new full-stack manager for grocery stores. Growing up, in the summers I worked at my family's grocery store, and saw first hand the challenges my father went through on a day to day basis. My family's store was started over 100 years ago, and with this industry experience, Prateek and I are able to offer new insights.\\\n[Overview](https://youtu.be/VEAZGZZ4_RU) \n\n\\\n**The Problem: Operating an independent grocery store means surviving on razor-thin margins.**\n\n* 3 % of sales vanish due to shrinkage.\n* Out of stocks wipe out 4% more in lost sales\n* Slip-and-fall hazards lead to liability risks.\n* These slim margins prevent grocers from hiring back office staff.\n\n**What We Built-**\n\n* 24/7 Theft Detection – Real-time alerts when someone crosses the “no-go” zones behind registers or swipes merchandise.\n* Safety Monitoring – Automatic slip-and-fall hazard spotting so you can fix risks before they become claims.\n* Shelf & Stock Insights – Instant out-of-stock notifications to keep product levels optimized.\n* Pricing Research - Soon we will introduce an agentic workflow to manage one of grocers' most tedious tasks, looking up competitors prices.\n\n**Our Team-**\n\n* Nic Sleeper, CEO – Former SWE at PredictionStrike.\n* Prateek Pinisetti, CTO – Ex-Optiver SWE and chess National Master; real-time systems expert.\n* We met as Harvard roommates, did psets together in our dorm, and have been collaborating ever since.\n\n\\*\\*The Vision-\\*\\*\\\nWe chose to work in this space to help local grocers thrive in the AI age and be on the forefront of innovation. Our cameras are just the first step- by combining POS, ordering, and camera data, we can automate every back-office process in the store, allowing them to achieve their optimal margins.\\\n\\*\\*Our Ask-\\*\\*\\\nIf you know any grocery or retail store owners who’d love a tireless 24/7 assistant to cut shrink, boost safety, and maximize sales, please loop us in!",
        "url": "https://www.ycombinator.com/launches/NZz-kirana-ai-full-stack-ai-store-manager",
        "votes": 17,
        "created_at": "2025-05-22T14:43:07.181Z"
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    "id": 30592,
    "name": "Prox",
    "slug": "prox",
    "former_names": [
      "DART",
      "Stealth",
      "Dart Labs",
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    "website": "https://useprox.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Prox turns product expertise into revenue for equipment manufacturers.\r\n\r\nEquipment buyers rarely begin with a model number. They begin with a job, an installed system, a constraint, or a problem. The knowledge needed to qualify, recommend, configure, quote, repair, replace, or upgrade the product is scattered across manuals, catalogs, spreadsheets, calculators, product managers, applications engineers, dealer processes, support teams, and legacy systems. The result is abandoned demand, slow qualification, wrong-fit recommendations, quote delays, weak dealer follow-up, missed parts and service revenue, and dependence on a few experienced people.\r\n\r\nProx builds AI product specialists for equipment manufacturers. A product specialist uses the manufacturer's approved product knowledge, expert rules, calculators, and connected systems to move customers and frontline teams from a complex product question to the right purchase, quote, dealer, parts, service, replacement, or upgrade path.\r\n\r\nHow it works:\r\n\r\n1. Understand what the person is trying to accomplish.\r\n2. Resolve the product, application, and operating context already available.\r\n3. Ask only for the missing information that changes the result.\r\n4. Apply approved sources, expert rules, and deterministic tools (calculators, selectors, configurators, comparisons).\r\n5. Produce a supported, cited recommendation, configuration, procedure, or decision artifact.\r\n6. Move the person into the correct cart, quote, RFQ, BOM, dealer, sales, parts, service, replacement, upgrade, or expert action with the context preserved.\r\n\r\nOne product specialist, many governed skills: product discovery and comparison, sizing and configuration, competitive defense, quote preparation, dealer enablement, installation and commissioning, troubleshooting, parts identification, and approved service, replacement, and upgrade paths. Manufacturers deploy those skills to customers, dealers, sales teams, applications engineers, support teams, or field service. Existing CRM, CPQ, commerce, and support systems stay in place.\r\n\r\nSupport and service are revenue-bearing surfaces. The specialist resolves the customer's problem first, then surfaces the approved part, service, replacement, or upgrade path only when the evidence supports it.",
    "one_liner": "AI product specialists for equipment manufacturers",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Retail",
    "launched_at": 1759337800,
    "tags": [
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      "E-commerce",
      "Customer Support",
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Fall 2025",
    "status": "Active",
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    "url": "https://www.ycombinator.com/companies/prox",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/prox.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/prox-inc/",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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      {
        "user_id": 1022456,
        "full_name": "Dima Yanovsky",
        "title": "Founder",
        "founder_bio": "mit '25",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/yanovsk/",
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      },
      {
        "user_id": 3066807,
        "full_name": "Gregory Makodzeba",
        "title": "Founder",
        "founder_bio": "> founded Rektoff (built security systems protecting >$100B; clients: Solana) \n> led DevRel at Runtime Verification (among clients: NASA, Boeing)\n> grew up in a family distribution business\n> studied aviation management and computer science",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gregory-makodzeba/",
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    "jobs": [
      {
        "id": 92782,
        "title": "Founding Engineer at Prox",
        "url": "https://www.ycombinator.com/companies/prox/jobs/0OlQtPT-founding-engineer-at-prox",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$200K",
        "equity_range": "1.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98421,
        "title": "Founding GTM Engineer",
        "url": "https://www.ycombinator.com/companies/prox/jobs/E1rWvQT-founding-gtm-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $180K",
        "equity_range": "0.25% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 98422,
        "title": "Executive Assistant & Operations",
        "url": "https://www.ycombinator.com/companies/prox/jobs/LoltdId-executive-assistant-operations",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $120K",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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      },
      {
        "id": 98423,
        "title": "Videographer & Creative Producer",
        "url": "https://www.ycombinator.com/companies/prox/jobs/Nq3ECpl-videographer-creative-producer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $130K",
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        "visa": "US citizen/visa only",
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      {
        "id": 98424,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/prox/jobs/VKpZh1L-forward-deployed-engineer",
        "location": "San Francisco, CA",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$160K - $190K",
        "equity_range": "0.35% - 0.75%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
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    "launches": [
      {
        "id": 95414,
        "title": "Prox: digital co-workers for logistics operations",
        "tagline": "📦 Prox builds digital workforce for third-party logistics and fulfillment providers. ",
        "body": "Greg and Dima here - childhood friends, grew up in our families’ warehouses - now YC founders building Prox.\n\n**launch video:** https://www.youtube.com/watch?v=9Ywl-K7ncj0\n\n---\n\n**tldr:**\n\n[**Prox**](https://www.prox.inc/) builds digital workforce for third-party logistics and fulfillment providers. We deployed our first agents at [**ShipBob**](https://www.linkedin.com/company/shipbob) (unicorn 3PL handling 100+ million packages per year) to automate carrier claims for lost-in-transit packages. **They're now live in production, processing hundreds of claims in parallel and on track to recover millions in carrier refunds annually.**\n\n**what is 3PL?**\n\nthird-party logistics companies (3PLs) are the invisible infrastructure behind e-commerce brands: they warehouse inventory, fulfill orders, manage returns, and negotiate with carriers so brands don't have to.\n\n**the problem:**\n\n40,000+ 3PLs in the US all do the same thing: throw people at operational bottlenecks.\n\n❌ Claims processing done manually, one by one \\\n❌ Invoice reconciliation eating hours of labor \\\n❌ Compliance paperwork blocking growth \\\n❌ Every increase in package volume = more back-office hires\n\nThat's the margin trap. Logistics companies stuck at 3-5% margins because headcount scales linearly with volume of packages. You can't compound when labor costs are linear.\n\n**what we built:**\n\nWe developed an n8n-inspired agent building platform - native to logistics infrastructure. It integrates with Salesforce, warehouse & transportation management systems, carrier portals, Microsoft Teams, and email → then executes SOPs end-to-end.\n\nWith this platform, we can deploy agents in production in a matter of days.\n\n![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/dc3e69b6-c3f6-476d-94c5-578b3a02d9de)\n\n**use case: ShipBob Carrier Claims Automation**\n\nHere’s an example of how our agents handle lost package claims for [ShipBob](https://shipbob.com/), one of the biggest 3PLs in the US.\n\n> first demo at ShipBob HQ in Chicago\n>\n> ![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/cd110709-17ec-410e-90c8-e3c0d7db72f5)\n\n\nWhen a package goes missing - our agent orchestrates resolution: pull order data, calculates refund amounts, files with carriers, monitors responses, parses updates, syncs internal systems, escalates exceptions - hundreds running in parallel.\n\nOur agents do not stop at task execution - we designed them to own outcomes. If a carrier doesn't respond, the agent follows up. If documentation is missing, it fetches it. Each agent has one objective: get the claim resolved.\n\n**about us:**\n\n[**Gregory Makodzeba:**](https://www.linkedin.com/in/gregory-makodzeba/)\n\n* Founded Rektoff: built blockchain security infrastructure protecting $100B+ in crypto assets (clients: Solana Foundation)\n* Led Developer Relations at Runtime Verification, working with NASA, Boeing, and Ethereum Foundation on formal verification for mission-critical systems\n* Grew up implementing ERP and WMS systems in the family distribution business\n\n[**Dima Yanovsky:**](https://www.linkedin.com/in/yanovsk/)\n\n* MIT grad: Computer Science + Electrical Engineering\n* Robotics research at MIT CSAIL under Prof. Pulkit Agrawal on manipulation policies;\n* Built internal and customer-facing AI agents at Pulley (YC W20) during early GPT era\n* Spent childhood automating warehouse operations and business processes\n\nWe both grew up in our parents' warehouses. When we weren't moving boxes around, we were doing the mundane back-office work every warehouse has (filing claims, reconciling invoices, chasing carriers). This was the pre-LLM era, so we had no choice but to grind through manual workflows. We saw firsthand how coordination became the biggest constraint on growth - and how no software could actually handle it end-to-end.\n\n![uploaded image](/media/?type=post&id=95414&key=user_uploads/3066807/68380300-ee0e-4379-98de-de1b551b269e)\n\nWe deeply understand the ontology of logistics operations. That's why we can ship integrations in days, not months. We're building the digital workforce we wish existed back then.\n\nIf you're running logistics operations at a 3PL, fulfillment center, or freight forwarder, or know someone who is - reach out: [founders@prox.inc](mailto:founders@prox.inc)\n\n---",
        "url": "https://www.ycombinator.com/launches/Oow-prox-digital-co-workers-for-logistics-operations",
        "votes": 130,
        "created_at": "2025-11-11T23:07:29.395Z"
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    "all_locations": "New York City, NY, USA",
    "long_description": "Channel3 is building a database of every product on the internet.\r\n\r\nGoogle and OpenAI maintain vast product graphs, but keep that valuable data to themselves. Channel3 gives every developer access, opening a world of possibility for new shopping experiences across any vertical. For instance, developers could build AI fashion stylists or give their agents shopping capabilities.\r\n\r\nWe don’t just collect product data; we actually understand it. With the latest image classification and reasoning models, we can match products across merchants—even when listings and images differ—recognize variants, and surface the perfect matches for every search. As we grow, we’ll capture unique insights into what users want, click, and buy.\r\n\r\nAs AI models get smarter and cheaper, our flywheel accelerates: our catalog will improve, and it will be even easier for developers and vibe-coders to build on our infrastructure. To further incentivize building on Channel3, we provide built-in monetization; developers earn commissions on sales they drive.\r\n\r\nAlex discovered this need while building an AI tutor that could recommend products and earn affiliate revenue. When no solution existed, he persuaded his smartest friend from Duke and former co-founder George to leave Palantir and build Channel3 together.",
    "one_liner": "Database of every product on the internet",
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        "full_name": "Alexander Schiff",
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        "title": "Channel3: A database of every product on the internet",
        "tagline": "Channel3 lets developers add commerce to their websites, apps, and AI agents — and earn commission.",
        "body": "Hi! We’re [George](https://www.linkedin.com/in/george-lawrence-aab0011a6/) and [Alex](https://www.linkedin.com/in/alexanderschiff/), and we’re building [Channel3](https://trychannel3.com): **a database of every product on the internet.**\n\nLaunch Video: https://www.youtube.com/watch?v=gut-0iopIDg&feature=youtu.be\n\n**What?**\n\nEvery time you shop on Google, Amazon, or ChatGPT, you’re querying a product database. These companies have built massive product catalogs — with pricing, availability, images, and specs — but they keep this data private. That means only the giants can build shopping experiences. Channel3 is changing that. We’re building a universal product catalog and giving every developer access.\n\n**Got it. What can I use a product database for?**\n\nAny website, app, or AI agent can boost revenue by adding commerce – without holding inventory or processing payments. You could, for example, build a kitchen co-pilot that suggests the best tools for every cook, or a fitness app that intelligently recommends equipment needed for the next class.\n\n**How do I make money with Channel3?**\n\nMonetization is built in. With Channel3, developers earn commission on every sale they drive — no chasing affiliate deals, no ads that break trust, and no subscription fees users won't pay.\n\n**Why now?**\n\nMultimodal models have only just become accurate and cheap enough to recognize products visually and semantically, letting us match duplicates across merchants, structure heaps of messy data, and link variants like color or size.\n\nAs AI models get smarter and cheaper, our flywheel accelerates: our catalog will improve, and it will be even easier for developers and vibe-coders to build on our infrastructure.\n\n**Why we’re building this**\n\nAlex discovered this problem firsthand while building an AI teacher that could recommend appropriate products for its students. He discovered that giving AI agents shopping capabilities is both a real pain-point and a growing opportunity, so he persuaded George, his smartest friend from Duke and former co-founder, to leave Palantir and build the solution together.\n\n**I’m in! What now?**\n\nWe’re looking for developers who want to build the next generation of shopping on top of Channel3 (and get paid to do it!).\n\nSign up today at [trychannel3.com](http://trychannel3.com), or reach out at [founders@trychannel3.com](mailto:founders@trychannel3.com).\n\n![uploaded image](/media/?type=post&id=92118&key=user_uploads/873183/480c3aca-d06a-460a-a990-50408ddee2b2)\n\n",
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        "votes": 63,
        "created_at": "2025-07-14T16:08:19.203Z"
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    "name": "Complir",
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    "website": "https://complir.io/",
    "all_locations": "Copenhagen, Denmark",
    "long_description": "AI-powered product compliance platform that makes it easy for retailers to launch and scale products across borders without drowning in regulatory work. Complir's AI agents handle the regulations and documentation across every market you sell in - and keep your entire catalogue audit-ready.",
    "one_liner": "Vanta for physical products",
    "team_size": 13,
    "industry": "B2B",
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    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/complir.json",
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    "city": "Copenhagen",
    "country": "DK",
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      "name": "Andrew Miklas",
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        "full_name": "Gustav Bang",
        "title": "Founder/CEO",
        "founder_bio": "CEO, Complir.",
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        "full_name": "Marc Kaa Brejner",
        "title": "Founder/CTO",
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        "full_name": "Tine Kühnel",
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        "title": "Head of Germany",
        "url": "https://www.ycombinator.com/companies/complir/jobs/4JZzlHG-head-of-germany",
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        "title": "Complir - Helping large retailers remove compliance as a bottleneck to launching products globally.",
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        "body": "Hi there! I’m Gustav, and together with Tine and Marc we’re building AI infrastructure that automates compliance for global retailers.\n\nIf you sell physical products across markets, compliance is brutal.\n\nEvery country has different requirements. Documentation is fragmented. Regulations change constantly. Most teams still manage it in spreadsheets, consultants, and shared drives. And every product launch becomes a fire drill.\n\nOur users are:\n\n\\- Enterprise retailers with thousands of SKUs\n\n\\- Compliance, quality, and sourcing teams\n\n\\- Companies launching across multiple EU and international markets\n\nThey don’t want to just be compliant. They want to ship products fast and never think about compliance again.\n\n**How we got here**\n\nJust one month after Tine and I met back in May 2024, we made a deal with Flying Tiger Copenhagen (a 1,000+ store global retail chain, similar to a European Five Below) and forward deployed ourselves in their offices, working directly with their compliance, packaging, and sourcing teams for over a year.\n\nWe had no idea how much manual work we were about to witness.\n\nRegulations are dynamic. Products change. Data is messy. Requirements depend on category, market, material, packaging, claims, and more. Most existing tools treat compliance like static storage.\n\nSo we built an AI-native system that:\n\n\\- Maps products to relevant regulatory requirements across markets\n\n\\- Transforms messy product data into structured, audit-ready compliance records\n\n\\- Automatically generates legally required outputs — including translations, warnings, labels, risk assessments, declarations, and technical documentation\n\n\\- Propagates updates when regulations or products change, so documentation stays compliant without manual rework\n\nToday we manage 100k+ products, work with large retailers across Europe, and are growing \\~45% MoM\n\nIf you know large retailers selling across markets, tell them they can save millions in yearly compliance costs - while launching more products in more markets, faster.\n\nAnd if you’re building or operating in retail, import/export, or compliance infrastructure, we’d love to compare notes!\n\nDemo: [**https://www.youtube.com/watch?v=4omoq7tcU88**](https://www.youtube.com/watch?v=4omoq7tcU88)",
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        "full_name": "Steve Rahimi",
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        "title": "Pango: E-commerce operations on autopilot.",
        "tagline": "Why can't e-commerce companies scale like tech companies?",
        "body": "tl;dr: Why can't e-commerce companies scale like tech companies? And how we might be able to change that.\n\nWe spent 12 months embedded in the operations of 30 e-commerce brands\\! Here’s what we learnt:\n\n![uploaded image](/media/?type=post&id=107204&key=user_uploads/3288698/1a3cc8c3-db71-4d81-b2ad-9679b77f9451)\n\n**What we saw:** Each company had a unique operational setup with a mix of 5 to 7 tools glued together to run the shop. To keep all these tools running smoothly with each other, it requires a lot of tedious admin. As a result, headcount increases as the company scales.\n\nMost companies couldn't even automate a basic return processing, let alone offer exchanging items or build an AI agent to approve returns or send shipping label to the customer.\n\nExpansion made it worse: more countries and/or SKUs = exponentially more problems.\n\n**What we built:** We have built an agentic OS for e-commerce: You connect your shop stack, then describe how you want to handle shipments, returns, refunds, or claims → Pango builds the return portal, fixes the delivery options, and builds a customer service process and agent for you.\n\n![uploaded image](/media/?type=post&id=107204&key=user_uploads/3288698/ceed8a01-52aa-403a-9986-758da64ff4e4)\n\n**Result:** So far we have managed to automate 99% of returns and shipping operations, reduce operation costs by 20% and sign 30 global brands.\n\nAsk\n\nIntros to:\n\n- Agencies (Shopify/e-commerce)\n- Brands in fashion, beauty, home.\n- Forwardable: \"Pango runs everything after checkout: tracking, returns, and exchanges in one platform. Demo: <https://pango.ai/book-demo>\" Or book us directly: <https://pango.ai/book-demo> Or just email me if you are intrested: <Steve@pango.ai>\n",
        "url": "https://www.ycombinator.com/launches/Rt6-pango-e-commerce-operations-on-autopilot",
        "votes": 10,
        "created_at": "2026-07-24T14:19:26.215Z"
      }
    ]
  }
]
