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    "news": [
      {
        "title": "Led by former Ada employees, Lancey secures $2 million to let B2B software buyers “try before you buy” | BetaKit",
        "url": "https://betakit.com/led-by-former-ada-employees-lancey-secures-2-million-to-let-b2b-software-buyers-try-before-you-buy/",
        "date": "Dec 05, 2022"
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        "id": 99746,
        "title": "Clearline | AI native revenue engine for automotive",
        "tagline": "Clearline deploys AI agents that answers every inbound call, follows up on every lead, and tracks every customer interaction for car dealerships, 24/7.",
        "body": "Hey everyone! We're Adi and Abhi, the founders of Clearline.\n\n![uploaded image](/media/?type=post&id=99746&key=user_uploads/942902/e3dbee2c-c4a0-4485-ad87-4509317bb2c9)\n\n### The Problem\n\nCustomer experience at car dealerships is broken. Not because the teams don't care, but because the systems were never built for how customers actually behave today.\n\nHere's the reality:\n\n* **23% of dealership calls go unanswered.** 85% of those callers never call back. That's revenue walking out the door every single day.\n* **Most lead follow-up dies by day 5.** Dealerships spend thousands driving traffic and generating leads, then let them rot in a CRM nobody checks.\n* **Sales uses one system. Service uses another. Nobody has the full picture.** Reps waste time on manual logging, managers guess at what's happening, and customers repeat themselves every time they call.\n\nDealerships have tried to solve this with more tools, more staff, more process. It doesn't work. The stack is fragmented and nothing talks to each other.\n\n### The Solution\n\nClearline is an AI-native operating system for dealerships. Three products, one platform:\n\n**Inbound** - AI answers every sales and service call instantly. No voicemail, no hold music, no transfers. It qualifies intent, routes to the right department, and books appointments in real-time. 24/7, including nights and weekends.\n\n**Outbound** - Automated follow-up via calls, texts, and email. Clearline responds to new inquiries within seconds and runs disciplined cadences from day 1 through day 90. No lead gets forgotten.\n\n**CRM** - One unified record across sales, service, and BDC. Full call transcripts, automatic logging, next steps triggered without anyone typing a note. Managers get complete visibility with real data.\n\n![uploaded image](/media/?type=post&id=99746&key=user_uploads/942902/dd50c407-f1a1-4910-b1c3-7124bd3e294b)\n\n### Results\n\nDealerships see this in their first 30 days:\n\n* **$60K+ revenue recovered** from missed calls and dead leads\n* **240% more leads engaged**\n* **4+ tools consolidated** into one platform\n\n> _\"Recovered $78K in service and sales revenue from 400 missed calls per month._\n\n> _\"Show rate on outbound appointments went from 38% to 64% in the first month._\n\n### You're Always in Control\n\nThis isn't about replacing dealership staff. Clearline augments your team:\n\n* AI escalates to a human anytime a situation needs real judgment\n* It only operates within rules you define (hours, routing, boundaries)\n* It only uses dealership-approved responses for pricing and policies\n* Every call, message, and booking is logged and reviewable\n\n### Try Clearline\n\nIf you run a dealership or know someone who does, we'd love to chat.\n\n[Book a demo](https://useclearline.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc)\n\nReach us directly at [founders@useclearline.com](mailto:founders@useclearline.com) or check us out at [Clearline](https://useclearline.com/?utm_source=yc&utm_medium=launch&utm_campaign=launch_yc)",
        "url": "https://www.ycombinator.com/launches/Pwo-clearline-ai-native-revenue-engine-for-automotive",
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        "created_at": "2026-04-14T21:10:47.506Z"
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        "id": 95485,
        "title": "Lancey - connect your customer signals to your codebase",
        "tagline": "Every AI coding tool writes code. Lancey helps you decide what to buid.",
        "body": "### **TL;DR**\n\nMost teams know what their customers want. It’s buried in Slack threads, support tickets, and calls. But turning that into shipped code still takes months.\n\nLancey is the first autonomous coding agent that builds what your customers want.\\\nIt listens to your customer channels, understands your codebase, and ships ready-to-merge PRs, all in the background.\n\nhttps://youtu.be/1g76HQkrdyQ\n\n---\n\n### **The Problem**\n\nCustomer feedback already tells you exactly what to fix or build. The issue isn’t knowing _what_ to do, it’s the manual steps between understanding and shipping.\n\nSupport tickets, Slack threads, and bug reports pile up. Engineers spend hours triaging. Product teams chase context. PMs and devs are stuck in loops instead of shipping.\n\nEven AI coding assistants today still need you to _prompt_ them, _explain the bug_, and _review every output_. It’s still work, just faster typing.\n\n---\n\n### **Why Lancey Exists**\n\nWe built Lancey because we think software should respond directly to its customers. Without human bottlenecks.\n\nLancey continuously scans your customer channels and codebase to spot high-impact bugs or requests. When it’s confident, it drafts and submits a PR. When it’s unsure, it asks for review.\n\nNo tickets, no triage, no context handoffs. Just a system that quietly keeps your product aligned with your users.\n\n---\n\n### **How It Works**\n\n* **Understands your customer context** - Connect Slack, Zendesk, Intercom, and more.\n* **Understands your code** - Builds a deep map of your repositories and dependencies.\n* **Builds autonomously** - Drafts fixes, features, and improvements as ready-to-merge PRs.\n* **Collaborates by default** - Keeps engineers and PMs in the loop so nothing feels like a black box.\n\n---\n\n### **Who It’s For**\n\nEngineering and product teams who want to spend less time triaging and more time shipping what actually matters to customers.\n\n---\n\n### **Why Now**\n\nWe’ve reached a point where LLMs can not only reason over customer data, they can write safe, context-aware code. The missing piece is connecting these two worlds.\n\nLancey makes **customer-driven engineering autonomous**.\n\n# **How you can get access**\n\n* Sign up for a free account [here](https://lancey.ai)",
        "url": "https://www.ycombinator.com/launches/Oq5-lancey-connect-your-customer-signals-to-your-codebase",
        "votes": 10,
        "created_at": "2025-11-13T16:04:17.494Z"
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    "name": "ShortLoop",
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    "website": "https://shortloop.dev/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Dealerships leave significant revenue every year because they are unable to effectively answer calls or run campaigns due to staffing issues. \r\n\r\nShortLoop fixes this with human-like AI phone agents that answer calls instantly, book appointments and test drives, and also help run outbound campaigns. It ensures that our customers never miss a revenue opportunity, inbound or outbound. \r\n\r\nOur AI is integrated with CDK, Reynolds, Tekion, Xtime, Auto/Mate, DealerFX, VinSolutions, myKaarma and other popular dealership tools. It handles thousands of calls each week for U.S. dealerships across service, sales, and outbound campaigns.\r\n\r\nOur mission is to help dealerships transition their phone operations to the AI world and capture the revenue they leave on the table today.",
    "one_liner": "Phone AI that Captures Every Dealership Revenue Opportunity",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Engineering, Product and Design",
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        "full_name": "Sumit Mulchandani",
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        "founder_bio": "Co-founder/CTO at ShortLoop - Automating calls for Auto Dealerships.\n(Previously built out tech for multiple startups - including a health tech unicorn.)  ",
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        "linkedin_url": "https://www.linkedin.com/in/sumit-mulchandani/",
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        "full_name": "Deepak Thakur",
        "title": "Founder",
        "founder_bio": "Co-founder, ShortLoop. AI for Dealerships and Automotive",
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        "linkedin_url": "https://www.linkedin.com/in/thakur-deepak",
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        "title": "Software Engineer - Fullstack",
        "url": "https://www.ycombinator.com/companies/shortloop/jobs/uHS0vD3-software-engineer-fullstack",
        "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN",
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        "title": "Software Engineer (Senior)",
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    "all_locations": "New York City, NY, USA",
    "long_description": "When a lender gives out a car loan, they need to file a lien with their borrower’s DMV. This is difficult because the process varies by state and county. We’ve leveraged LLMs to help lenders automate lien filings for over $1B of loans.",
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    "team_size": 6,
    "industry": "Fintech",
    "subindustry": "Fintech -> Credit and Lending",
    "launched_at": 1687970738,
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    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "user_id": 1136419,
        "full_name": "Jack Chapman",
        "title": "Founder",
        "founder_bio": "CEO @ Cardinal Gray",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jack-chapman-2b7b75153",
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        "user_id": 1479733,
        "full_name": "Muhammad Khattak",
        "title": "Founder",
        "founder_bio": "Cofounder @ CG | Prev. R&D Engineer at Veridise, Stanford Philosophy",
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        "full_name": "Grant Pease",
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        "url": "https://www.ycombinator.com/companies/cardinal-gray/jobs/AcQcqtv-founding-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$120K - $160K",
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        "id": 74164,
        "title": "Cardinal Gray - Helping auto lenders instantly send title data to DMVs",
        "tagline": "Auto lenders spend 30M hours a year sending title documents to 50 different state DMVs. Cardinal Gray automates this.",
        "body": "### **Our Team**\n\n![uploaded image](/media/?type=post&id=74164&key=user_uploads/1136419/54416cc8-471b-4684-855a-0b4cd7f37fe0)\n\nHey! We’re Grant, Muhammad, and Jack. We’re building titling tools for auto lenders. For example, when a loan gets paid off, we instantly release the lien placed on the car.\n\nBefore we jump into it, you might be wondering: what is a lien? A lien is a legal claim auto lenders file with the DMV to establish their legal claim over a borrower's car and secure the loan payments, but managing this collateral with the DMV is a headache for lenders.\n\n### **The Problem**\n\nAuto lenders spend 30 million hours a year sending title documents to 50 different state DMVs. At Cardinal Gray, we’re automating this.\n\nTitle work is time intensive because lenders’ systems are not connected to DMV systems. Lenders spend >$2 Billion each year on employee labor to manually aggregate and forward the relevant data and documents to state governments.\n\nFor lenders, a slow lien filing process can lead to billions of dollars in unsecured loans. A slow lien release process creates tension with dealerships and customers because car ownership can’t be transferred until a lien gets released.\n\nOn top of this, manual processes lead to errors. At any given time, 20% of lien filings are inaccurate.\n\n### **Our Product**\n\nWe fix this by interfacing with lender and DMV databases. Our software monitors a lender’s loan data, and when a loan gets created or paid off, we ping the appropriate DMV to file or release the lien. When a DMV creates or edits data, we reference this change with the bank and resolve discrepancies before they cause issues.\n\n### **How We Found This**\n\nA year ago, we were trying to create a decentralized marketplace for car loans. We actually applied to YC’s W23 batch with this idea, and we were told that it was too complex and that it was unclear why it required blockchain. They were right. We were boiling the ocean.\n\nAs we continued investigating auto lending, we discovered dealerships originate roughly 80% of all auto loans, and lenders automate credit decisions and funding at the same rate. We realized that a major bottleneck to automated car financing was manual title work, so we did a deep dive into DMV systems. As it turns out, this work can also be automated.\n\n### **Our Ask**\n\n* **Are you in auto lending?** We’d love to meet. Shoot us an email at [founders@cardinalgray.com](mailto:founders@cardinalgray.com)\n* **Do you know anyone in auto lending?** We’d love to be introduced. We have a strong pipeline, but the more the merrier.\n\n🧯 get in touch / [cardinalgray.com](http://cardinalgray.com) / [founders@cardinalgray.com](mailto:founders@cardinalgray.com)",
        "url": "https://www.ycombinator.com/launches/JIC-cardinal-gray-helping-auto-lenders-instantly-send-title-data-to-dmvs",
        "votes": 48,
        "created_at": "2023-08-16T18:28:21.150Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Navier AI is building the first Agent-Driven Engineering platform.\r\n\r\nWe believe engineers should focus on designing great products, not wrestling with simulation software.\r\n\r\nNavier AI makes it simple to run CFD simulations at scale through our web-based platform built on OpenFOAM, the industry-standard solver for CFD. Our AI agents autonomously handle the complex, time-consuming steps of simulation—from geometry cleanup and meshing to solver configuration and cloud resource management.\r\n\r\nBy automating the tedious parts of the workflow, we enable engineering teams to move faster, explore more design possibilities, and spend their time on high-value engineering decisions.",
    "one_liner": "Agent-Driven Engineering",
    "team_size": 7,
    "industry": "Industrials",
    "subindustry": "Industrials -> Aviation and Space",
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        "full_name": "Cameron Flannery",
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        "full_name": "Evan Kay",
        "title": "Founder",
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    "news": [
      {
        "title": "AI engineering startup Navier raises $5.6M seed for hardware design",
        "url": "https://www.axios.com/pro/enterprise-software-deals/2025/12/15/navier-ai-engineering-hardware-design",
        "date": "Dec 15, 2025"
      },
      {
        "title": "Rescale and Navier AI Partner to Accelerate Computational Engineering with AI Physics - Rescale",
        "url": "https://rescale.com/blog/rescale-and-navier-ai-partner-to-accelerate-computational-engineering-with-ai-physics/",
        "date": "Mar 13, 2024"
      }
    ],
    "launches": []
  },
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    "id": 29376,
    "name": "Carma",
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    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/995749b249373d88528eca173b29dc4d2d8e77da.png",
    "website": "https://www.joincarma.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Carma is building an AI-native platform that transforms fleet operations from tedious, manual work into effortless, automated workflows.\r\n\r\nWe’re the fastest-growing company in fleet management software. Carma already powers some of the largest fleets in the U.S., saving operations teams thousands of hours by eliminating busywork and keeping vehicles on the road.\r\n\r\nBacked by Soma Capital, Y Combinator, founders of Superhuman, and Tier-1 investors, we are sprinting toward a Series A in 2026.\r\n\r\nWe’re hiring the top 0.1% of engineers who want real ownership and impact—starting Day 1, you’ll build and ship fast to production for enterprise clients. Fleet operations run in real time, so your work is immediately used in the field and gets real customer feedback in hours, not months.",
    "one_liner": "The AI Operating System For Modern Fleets.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1701065445,
    "tags": [
      "B2B",
      "Workflow Automation",
      "Compliance",
      "AI",
      "Automotive"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/carma",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/carma.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/carma-com",
    "x_url": "https://twitter.com/joincarma",
    "fb_url": "https://www.facebook.com/joincarmacom",
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/995749b249373d88528eca173b29dc4d2d8e77da.png",
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    "company_photos": [
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1377569,
        "full_name": "Muhammad Alasgarli",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Carma. Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/muhammadalasgarli",
        "x_url": "https://twitter.com/ceocarma",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e5dc582818ac2336ab4370f4172b6d39e48dc142.jpg"
      },
      {
        "user_id": 1654921,
        "full_name": "Suleyman Alasgarli",
        "title": "Founder/CRO",
        "founder_bio": "Founder & Chief Growth Officer @ Carma.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/salasgarli/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a74681914382cb780d6fc790dbea11f2bfee9548.jpg"
      }
    ],
    "jobs": [
      {
        "id": 88420,
        "title": "Founding Full-Stack Software Engineer (React / Node.js / NestJS / PostgreSQL)",
        "url": "https://www.ycombinator.com/companies/carma/jobs/YLaym2M-founding-full-stack-software-engineer-react-node-js-nestjs-postgresql",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $225K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Amazon Web Services (AWS)",
          "Node.js",
          "PostgreSQL",
          "React",
          "Docker"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 98918,
        "title": "Carma: We replaced fleet operations with software.",
        "tagline": "AI that runs fleet ops end-to-end, unlocking revenue and curbing costs.",
        "body": "**We scrapped our original model and rebuilt Carma as an AI-native operating system for fleet operations.**\n\nSince then, every metric has compounded.\n\n⸻\n\n**The problem**\n\nFleet maintenance is the #1 cost for companies that run vehicles.\n\nAnd it’s still managed with:\n\n* 15+ disconnected tools\n* spreadsheets\n* phone calls\n\nMillion-dollar decisions happen daily.\n\nMade by people who:\n\n* aren’t automotive experts\n* aren’t incentivized on cost\n\nSo they approve everything.\n\nManagement can’t keep up. The problem requires deep technical context. It gets ignored.\n\nAs fleets grow, complexity snowballs.\n\nThe double-effect is vicious:\n\nVehicle uptime drops while costs spiral.\n\nMargins bleed heavily.\n\n⸻\n\n**Why incumbents fail**\n\nThe incumbent software providers are 30+ year-old leasing companies.\n\nThey make money when fleets replace vehicles more often.\n\nSo real optimization works against them.\n\nTheir software reflects it:\n\n* system of record\n* not system of intelligence\n\n_In reality:_ glorified Google Drive with manual data entry.\n\nNo automation. No decisions. No leverage.\n\n⸻\n\n**What we built**\n\nCarma replaces the entire stack.\n\nOur AI system, Neo, runs fleet operations end-to-end:\n\n* automates all repetitive daily workflows\n* replaces all manual labor\n* replaces all fragmented software\n\nAnd makes optimal decisions:\n\n* verifies pricing\n* selects vendors\n* schedules maintenance\n* audits invoices\n* determines replacement timing\n\nNot when a leasing company wants to sell a new vehicle.\n\nWhen it actually makes economic sense.\n\nEvery service makes Neo smarter.\n\nCustomers don’t add Carma.\n\nThey replace everything with it.\n\n⸻\n\n**Why now**\n\nAI can finally automate judgment, not just data entry.\n\n_Before:_ hire more people or accept inefficiency.\n\n_Now:_ neither.\n\n⸻\n\n**If you’re an investor or operator in this space, email us:**\n\n[muhammad@joincarma.com](mailto:muhammad@joincarma.com) - Muhammad Alasgarli, Founder and CEO\n\n[suleyman@joincarma.com](mailto:suleyman@joincarma.com) - Suleyman Alasgarli, Founder and Chief Growth Officer",
        "url": "https://www.ycombinator.com/launches/PjS-carma-we-replaced-fleet-operations-with-software",
        "votes": 4,
        "created_at": "2026-03-19T20:33:46.461Z"
      },
      {
        "id": 76596,
        "title": "🚗Carma – Fleets get top service centers to bid for same-day service",
        "tagline": "Never overpay or wait weeks for quality vehicle service ever again.",
        "body": "![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6e469c63-fd73-4b07-a14c-c16389064f61)\n\n**tl;dr:** Carma saves fleets generates measurable P&L savings on the order of hundreds of thousands to millions of dollars on vehicle repairs and maintenance with same-day service – Carma clients get pushed to the front of the line and don’t have to wait weeks to get vehicles back on the road!\n\n**💰Referral Opportunity:** We’re offering $100 in cash for every vehicle onboarded through a warm referral to a new client. 500 vehicles = $50,000 cash referral bonus. In addition, the referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/ff0b49ed-15b5-4336-89fb-fef7553f940a)\n\nWe are also hiring top-caliber full-stack software engineers and account executives – apply [**HERE**](https://www.ycombinator.com/companies/carma/jobs) today.\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**😡The Problem: Fleets HATE getting vehicle repair!**\n\nIt’s a time-draining hassle to get vehicle repair for fleets – a lack of price transparency makes U.S. fleets lose $37 billion each year due to improper or unnecessary vehicle repairs. Based on recent industry statistics, service centers overcharge fleets 85% of the time, leaving fleets overpaying an average of 68% more than what they actually should based on the fair cost of service. The worst part: there’s not much the average fleet management team can do – most fleets rely on minimal spares and don’t have the time to price shop for quotes. 80% of fleet managers don’t know what fair auto repair pricing looks like for non-routine repairs.\n\n**💲The Solution: Carma**\n\nCarma gets fleets prioritized same-day service offers with guaranteed, locked-in pricing. Fleet managers request any service they need through Carma, which we send to our highly rated and vetted local service center Partner Centers, who respond with real-time offers. Fleet can compare multiple same-day service offers in just 60 seconds or less. Carma handles the transaction with zero fees – no marked-up prices or “convenience” charges – you pay the service center’s in-store price or better.\n\nFleets save upwards of 50% when they use Carma vs. the median price for the same service in their zip code. It takes just 30 seconds to add a car to your profile and request service.\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/179a2ad1-4d43-4195-8951-dcba9afe1f1c)\n\n👨‍👩‍👧‍👦**Meet the TEAM**\n\nWe are setting a new standard in automotive service to make pricing transparent and the entire process hassle-free.\n\nCarma was founded by a team of automotive experts with deep technical domain expertise from the most prominent industry leaders, with a combined 120+ years of experience in the automotive service industry:\n\n* [**Muhammad Alasgarli**](https://www.linkedin.com/in/muhammadalasgarli/) **- Co-Founder & CEO.** Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.\n* [**Suleyman Alasgarli**](https://www.linkedin.com/in/suleyman-alasgarli-6a54b1147/) **- Co-Founder & Head of Revenue.** Prior to joining Carma, Suleyman led operations for a portfolio of commercial and residential real estate investments and served as Operations Director for a prominent dental care chain, where he managed the entire sales pipeline end-to-end. Suleyman studied biology and chemistry with an emphasis in biomedical science at the University of Missouri - Kansas City.\n* **Alan Kennedy - Vice President of Sales.** Alan spent 36 years at Hunter Engineering Company, most recently as an International Regional Manager for the Asia-Pacific region and previously as a U.S. sales representative for Hunter Engineering’s sales territories in Texas and Oklahoma, specializing in undercar service equipment sales to independent automotive service centers and dealerships, with extensive experience in direct sales to both single-location and large-chain service facilities.\n* [**Doug Felt**](https://www.linkedin.com/in/doug-felt-63a30911/) **- Technical Product Manager and Subject Matter Expert.** Prior to joining Carma, Doug spent 46 years in automotive service: 32 years at Hunter Engineering Company as a Technical Training Manager and Subject Matter Expert, where he managed a portion of Hunter Engineering's training department supplying training to automotive and heavy truck technicians using over 35 satellite training centers nationally; including wheel alignment, balancing, tire changing, brake lathe operation, and counter sales training. Doug also managed training partnerships with Audi/Volkswagen, Bridgestone, Goodyear and a variety of other industry leaders. Before this, Doug spent 7 years as a Shop Manager at Hood’s Automotive and 7 years as a service technician and instructor in the U.S. Air Force.\n\n**💰Our Offer to You**\n\nOur sales process is supercharged by personal introductions, so any fleets whose owners or operational managers who you know or could introduce us to would be **very valuable**.\n\nIf you have a relationship with the C-Suite, owner, operations executive, or anyone else at business that owns cars – anything from HVAC, plumbing, pest control, landscaping, construction, cleaning & restoration, electrical contracting, sanitation, etc. – please give us a three-way intro over text or email (Muhammad, **636.293.5254 or** [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com)):\n\nFor each vehicle onboarded through your warm referral to a new fleet client, we will wire you $100 in cash. 500 vehicles = $50,000 cash referral bonus. In addition, your referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🙋Open Letter to Fleets**\n\nDear fleets, please give us your feedback if you think anything can be improved in our user interface or user experience so we can deliver the most fluid customer journey possible. No forms, just call or text me (Muhammad, CEO) on my cell and give me direct feedback: (**636.293.5254**). You can also email your feedback to me at [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com) – I read and respond to every user.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**Cities where Carma is live now: St. Louis, MO; Kansas City, KC; Oklahoma City, OK; Springfield, MO; Nashville, TN; Dallas, TX; Houston, TX; and Phoenix, AZ.**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/eafb09ec-394c-4a76-ab81-3edeacbd1ac2)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/fc1d8f92-25f7-4a9e-a501-e581f59076d5)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/57555baa-2c14-41fb-940e-1a9771ad01d4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9a324fb6-ede3-47b6-81d4-5da948b9b41e)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6f335e2a-048c-45be-ae05-4ac410feffe7)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9b7197ff-318b-4900-b00a-6afbf72ebcc6)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/0867d4e2-2d89-4f03-9e5d-bb52874c16f4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/077bba8c-e540-4ced-a563-16d0dd271efa)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/d41e738c-53c5-484e-8b13-a325c7758519)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/1ec14d2f-a0ea-430a-be7a-7fc5cb12234b)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/65bb4dd4-32b2-4600-9724-87803ea5f44a)\n\n",
        "url": "https://www.ycombinator.com/launches/JvQ-carma-fleets-get-top-service-centers-to-bid-for-same-day-service",
        "votes": 21,
        "created_at": "2023-12-01T22:39:47.302Z"
      }
    ]
  },
  {
    "id": 29377,
    "name": "Toma",
    "slug": "toma",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c720ae0d8e011f3d717a623f88d12d48f2a84c.png",
    "website": "http://www.toma.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "AI Applied Research",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1702419018,
    "tags": [
      "Marketing",
      "Customer Support",
      "AI",
      "Automotive",
      "Conversational AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Growth",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/toma",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/toma.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tomavoice/",
    "x_url": "https://twitter.com/toma_voice",
    "fb_url": "https://www.facebook.com/tomavoiceai",
    "cb_url": null,
    "github_url": "https://github.com/toma-so/toma",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c720ae0d8e011f3d717a623f88d12d48f2a84c.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 92912,
        "full_name": "Monik Pamecha",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO at Toma",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/monikp",
        "x_url": "https://twitter.com/monikkinom",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/56ce271920b124dc06b81841d029159e118ab97e.jpg"
      },
      {
        "user_id": 416691,
        "full_name": "Anthony Krivonos",
        "title": "Founder",
        "founder_bio": "Co-founder @ Toma",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anthonykrivonos",
        "x_url": "https://twitter.com/blandthony",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8bf89d456fa5f911d7ec946fe688db1da1d8917f.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Car Dealerships Are Replacing Phone Staff With AI Voice Agents",
        "url": "https://futurism.com/car-dealerships-ai-voice",
        "date": "Jun 08, 2025"
      },
      {
        "title": "Holman invests in Toma's dealership call automation platform - Automotive News",
        "url": "https://www.autonews.com/retail/an-toma-raises-17-million-0605/",
        "date": "Jun 05, 2025"
      },
      {
        "title": "Toma’s AI voice agents have taken off at car dealerships -- and attracted funding from a16z | TechCrunch",
        "url": "https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/",
        "date": "Jun 05, 2025"
      }
    ],
    "launches": [
      {
        "id": 92511,
        "title": "Toma, an AI Platform for the $2T Automotive Industry",
        "tagline": "Toma is on a mission to build world-class communication and support tools for America's high ticket industries, starting with automotive.",
        "body": "### **Next-Gen Voice AI in a $2T Industry that Silicon Valley Overlooks**\n\nWe’re thrilled to share that Toma [**raised a $17M Series A**](https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/), led by **Andreessen Horowitz (a16z)**, who chose us after vetting every voice AI company in automotive. The wild part is that we got here through just word-of-mouth sales, without a sales team, and now power **hundreds of customers** across the U.S.\n\nSince graduating from YC, we’ve gone knee-deep into a trillion-dollar industry historically neglected by Silicon Valley––automotive dealerships. We’ve spent half a year **living in them** to learn how they communicate with their customers, run their day-to-day operations, and provide both great and (usually) not-so-great customer experiences. To put it simply, **things are broken**.\n\nSo we built AI agents that fix it by:\n\n* Deploying **personalized agents**\n* **Automating inbound calls** with a low-latency, natural-sounding voice AI\n* Running **outbound SMS** campaigns that generate new revenue\n* **Deeply integrating** with automotive-specific software\n* Offering **insights and reporting** into every AI/customer interaction\n* Intelligently **alerting customers** when human intervention is needed\n\nWe’re now the **fastest-growing** AI platform in automotive, and we’re just getting started.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/65a56669-51b7-40ff-ad8e-4c443df5a09c)\n\n### **From YC Hack Project to Must-Have AI Employee**\n\nWe started Toma as **two engineers** ([Monik](https://www.linkedin.com/in/monikp/) & [Anthony](https://www.linkedin.com/in/anthonykrivonos/)) who didn’t want to build another generic chatbot. We flew around the country, shadowing advisors in hot service bays, listening to call recordings, and mapping dealership workflows in Figma. We **wrote code inside dealerships** as bugs and feature ideas were discovered alongside our users.\n\nWe took a YC prototype and turned it into a real product. Today, dealerships such as [Martin Management Group](https://www.toma.com/resources/case-study/how-ai-doubled-operational-margins-for-martin-management-group) and [Middletown Honda](https://www.toma.com/resources/case-study/how-toma-helps-middletown-honda-save-100k-annually) rely on Toma to handle **tens of thousands of calls** monthly. Calls that were previously missing entirely or requiring thousands of dollars to outsource to call centers.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/3a60abaf-e5fd-437a-8b4c-f38d911f215e)\n\n### **The Results Are Wild**\n\n* **Martin Management Group:** 9,000 service appointments booked in 90 days. $2M+ in revenue. 40% reduction in BDC workload.\n* **Middletown Honda:** 53% of inbound calls handled by AI. $100K+ saved annually. Zero missed calls during recall events.\n* **Nationwide:** Over 1 million call minutes handled by Toma since launch. Hundreds of thousands of hours of human time saved.\n* **Growth:** Surpassed 7-figures in ARR in less than one year while approaching 8 figures with over 100 dealerships using Toma across the U.S.\n\nThe best part is that vehicle owners love it, dealers love it, and Original Equipment Manufacturers (OEMs) love it because **Toma works very well**.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/85178e79-dde7-4ec7-b19e-b28691d601a4)\n\n### **Why This Industry Matters (and Why It’s Underserved)**\n\nCars are essential to how Americans live, work, and move, and they’re getting older. The average vehicle on the road is 12.6 years old. That means **more maintenance, more service calls, and more pressure** on dealerships to deliver better experiences.\n\nSilicon Valley has historically **ignored this space**. It’s messy, full of edge cases, and utilizes antiquated software, requiring a deep understanding of real-world operations. **That’s where we thrive.** We see a gold rush in how AI can revolutionize the automotive retail industry.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/e94c67ce-14f4-4b8a-8648-3b105052b1d9)\n\n### **Why This Industry is Just the Beginning**\n\n**Automotive** is one of many high-ticket, operationally complex industries in the U.S.—alongside insurance, home services, logistics, and healthcare—where communication is still largely **manual**, software is **legacy**, and workflows are deeply **idiosyncratic**.\n\nThese industries are slow-moving but massive, with billions of dollars lost every year due to inefficiencies. While we’re laser-focused on fixing communication in dealerships, Toma is **building the horizontal foundation for deploying production-grade AI assistants** across every high-value, high-friction service industry. We believe the future of operations will be AI-augmented, and we’re laying the rails.\n\n### **The Tech**\n\n**In-house**, we have built:\n\n* A SOTA **voice AI orchestration** pipeline\n* **Dynamic integration platform** for connecting to legacy software\n* Production-grade **agentic workflow** engine\n* **Agent evaluation** pipelines\n* **Prompt management** tools that allow us to support hundreds of customers as a 3-person ops team\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/2c4115f8-a2bf-433b-b7f3-30f4fa6ca0c3)\n\n### **Our Culture: Builders First, Always**\n\nToma was **built by engineers**, and we hire technically-minded people across all responsibilities. We move quickly, fix things, and build from the ground up. We care deeply about real-world impact and meticulous attention to detail.\n\nWe’re backed by Andreessen Horowitz, Y Combinator, Scale Angels, Flex Capital, Holman Automotive, and more. But more than anything, we’re backed by many of our own dealerships and their staff, who trust us to communicate with their customers.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/9eeaaa4c-ba17-4927-82b9-230c362a3684)\n\n### **Who We're Looking For**\n\nYou might be a fit if you:\n\n* Want to build **cutting-edge AI features** and work on SOTA everything\n* Are **disillusioned by AI slop** products and want to solve real-world problems\n* Want **excessive ownership** of critical systems and infrastructure\n* Have a **high bar of excellence** and want to work with people who match your energy\n\nIf you’re curious, please join us in building the future of AI-powered automotive retail operations. We’re a small team, but we punch above our weight and are having a blast doing it.\n\n👉 [www.toma.com/jobs](http://www.toma.com/jobs)",
        "url": "https://www.ycombinator.com/launches/O47-toma-an-ai-platform-for-the-2t-automotive-industry",
        "votes": 7,
        "created_at": "2026-02-07T06:49:05.753Z"
      },
      {
        "id": 92512,
        "title": "Toma: AI Platform for the $2T Automotive Industry",
        "tagline": "Toma is on a mission to build world-class communication and support tools for America's high ticket industries, starting with automotive.",
        "body": "### **Next-Gen Voice AI in a $2T Industry that Silicon Valley Overlooks**\n\nWe’re thrilled to share that Toma [**raised a $17M Series A**](https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/), led by **Andreessen Horowitz (a16z)**, who chose us after vetting every voice AI company in automotive. The wild part is that we got here through just word-of-mouth sales, without a sales team, and now power **hundreds of customers** across the U.S.\n\nSince graduating from YC, we’ve gone knee-deep into a trillion-dollar industry historically neglected by Silicon Valley–– automotive dealerships. We’ve spent half a year **living in them** to learn how they communicate with their customers, run their day-to-day operations, and provide both great and (usually) not-so-great customer experiences. To put it simply, **things are broken**.\n\nSo we built AI agents that fix it by:\n\n* Deploying **personalized agents**\n* **Automating inbound calls** with a low-latency, natural-sounding voice AI\n* Running **outbound SMS** campaigns that generate new revenue\n* **Deeply integrating** with automotive-specific software\n* Offering **insights and reporting** into every AI/customer interaction\n* Intelligently **alerting customers** when human intervention is needed\n\nWe’re now the **fastest-growing** AI platform in automotive, and we’re just getting started.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/65a56669-51b7-40ff-ad8e-4c443df5a09c)\n\n### **From YC Hack Project to Must-Have AI Employee**\n\nWe started Toma as **two engineers** ([Monik](https://www.linkedin.com/in/monikp/) & [Anthony](https://www.linkedin.com/in/anthonykrivonos/)) who didn’t want to build another generic chatbot. We flew around the country, shadowing advisors in hot service bays, listening to call recordings, and mapping dealership workflows in Figma. We **wrote code inside dealerships** as bugs and feature ideas were discovered alongside our users.\n\nWe took a YC prototype and turned it into a real product. Today, dealerships such as [Martin Management Group](https://www.toma.com/resources/case-study/how-ai-doubled-operational-margins-for-martin-management-group) and [Middletown Honda](https://www.toma.com/resources/case-study/how-toma-helps-middletown-honda-save-100k-annually) rely on Toma to handle **tens of thousands of calls** monthly. Calls that were previously missing entirely or requiring thousands of dollars to outsource to call centers.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/3a60abaf-e5fd-437a-8b4c-f38d911f215e)\n\n### **The Results Are Wild**\n\n* **Martin Management Group:** 9,000 service appointments booked in 90 days. $2M+ in revenue. 40% reduction in BDC workload.\n* **Middletown Honda:** 53% of inbound calls handled by AI. $100K+ saved annually. Zero missed calls during recall events.\n* **Nationwide:** Over 1 million call minutes handled by Toma since launch. Hundreds of thousands of hours of human time saved.\n* **Growth:** Surpassed 7-figures in ARR in less than one year while approaching 8 figures with over 100 dealerships using Toma across the U.S.\n\nThe best part is that vehicle owners love it, dealers love it, and Original Equipment Manufacturers (OEMs) love it because **Toma works very well**.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/85178e79-dde7-4ec7-b19e-b28691d601a4)\n\n### **Why This Industry Matters (and Why It’s Underserved)**\n\nCars are essential to how Americans live, work, and move, and they’re getting older. The average vehicle on the road is 12.6 years old. That means **more maintenance, more service calls, and more pressure** on dealerships to deliver better experiences.\n\nSilicon Valley has historically **ignored this space**. It’s messy, full of edge cases, and utilizes antiquated software, requiring a deep understanding of real-world operations. **That’s where we thrive.** We see a gold rush in how AI can revolutionize the automotive retail industry.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/e94c67ce-14f4-4b8a-8648-3b105052b1d9)\n\n### **Why This Industry is Just the Beginning**\n\n**Automotive** is one of many high-ticket, operationally complex industries in the U.S.—alongside insurance, home services, logistics, and healthcare—where communication is still largely **manual**, software is **legacy**, and workflows are deeply **idiosyncratic**.\n\nThese industries are slow-moving but massive, with billions of dollars lost every year due to inefficiencies. While we’re laser-focused on fixing communication in dealerships, Toma is **building the horizontal foundation for deploying production-grade AI assistants** across every high-value, high-friction service industry. We believe the future of operations will be AI-augmented, and we’re laying the rails.\n\n### **The Tech**\n\n**In-house**, we have built:\n\n* A SOTA **voice AI orchestration** pipeline\n* **Dynamic integration platform** for connecting to legacy software\n* Production-grade **agentic workflow** engine\n* **Agent evaluation** pipelines\n* **Prompt management** tools that allow us to support hundreds of customers as a 3-person ops team\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/2c4115f8-a2bf-433b-b7f3-30f4fa6ca0c3)\n\n### **Our Culture: Builders First, Always**\n\nToma was **built by engineers**, and we hire technically-minded people across all responsibilities. We move quickly, fix things, and build from the ground up. We care deeply about real-world impact and meticulous attention to detail.\n\nWe’re backed by Andreessen Horowitz, Y Combinator, Scale Angels, Flex Capital, Holman Automotive, and more. But more than anything, we’re backed by many of our own dealerships and their staff, who trust us to communicate with their customers.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/9eeaaa4c-ba17-4927-82b9-230c362a3684)\n\n### **Who We're Looking For**\n\nYou might be a fit if you:\n\n* Want to build **cutting-edge AI features** and work on SOTA everything\n* Are **disillusioned by AI slop** products and want to solve real-world problems\n* Want **excessive ownership** of critical systems and infrastructure\n* Have a **high bar of excellence** and want to work with people who match your energy\n\nIf you’re curious, please join us in building the future of AI-powered automotive retail operations. We’re a small team, but we punch above our weight and are having a blast doing it.\n\n👉 [www.toma.com/jobs](http://www.toma.com/jobs)",
        "url": "https://www.ycombinator.com/launches/O48-toma-ai-platform-for-the-2t-automotive-industry",
        "votes": 15,
        "created_at": "2025-07-28T17:47:22.350Z"
      },
      {
        "id": 77697,
        "title": "🪄 Toma automates your phone calls with AI ✨",
        "tagline": "Voice AI Agents to handle phone calls and perform tasks for your business",
        "body": "### **TLDR;**\n\n[**Toma**](https://toma.so/) offers AI Agents that can autonomously handle phone calls for your business.\n\n🗣️ A natural-sounding voice experience over the phone\\\n🪄 A simple way to design call flows and manage AI agents\\\n🧩 Easy integration into your existing software to pull information and perform tasks on/off call\n\nToma is live and automating calls for companies in industries ranging from healthcare to automotive.\n\n### **Problem**\n\nCustomers call businesses expecting a superior experience over other channels. Instead, they have to put up with:\n\n❌ Long wait times\\\n❌ Repeated transfers to different agents without any context\\\n❌ Robotic call flows (read: Press 1 for English.. Sorry.. I didn’t catch that... Let me repeat the options)\n\nBusinesses find phone call operations **labor-intensive**, **expensive**, **inconsistent in quality**, and **hard to scale**.\n\nThe main challenges for businesses include:\n\n* Training agents\n* Ensuring quality and consistency across calls\n* Access control & compliance\n\n### **Our Solution:** [**Toma**](https://toma.so/)\n\n[**https://www.youtube.com/watch?v=p5SvyAHtyyU**](https://www.youtube.com/watch?v=p5SvyAHtyyU)\n\n* **Realistic call experience**: customizable human-like voices with low latency tested in noisy, real-world environments\n* **Integrations**: integrate with your CRM, knowledge bases, and third-party software to pull and push data\n* **Observability**: monitor calls with recordings, summaries, and granular analytics\n* **Live 24/7**: always on, no breaks\n* **Transfer**: intelligently transfer to humans if needed\n\n![uploaded image](/media/?type=post&id=77697&key=user_uploads/92912/75ed5b30-3ec8-4de2-a6af-9d53e9d84c7e)\n\n### **TEAM**\n\nWe’re Monik & Anthony. We’re best friends who have worked together and known each other for many years.\n\nWe believe that voice will be the best way for consumers to interact with AI in the future. The ubiquity of phones, advancements in AI, and the friction of traditional interactive voice systems have set the industry up for disruption.\n\nWe have extensive experience building large-scale customer messaging software, LLM applications, and conversational AI working at Scale, Uber, Lyft, and Braze, and we believe we can make the experience 10x better.\n\n### **Asks:**\n\n* If your business makes or receives phone calls, please set up a call with us [**here**](https://www.toma.so/contact) if you’d like to explore automation\n* Intros to any businesses that run their own call centers or outsource those operations (you can reach us at [founders@toma.so](mailto:founders@toma.so))",
        "url": "https://www.ycombinator.com/launches/KDB-toma-automates-your-phone-calls-with-ai",
        "votes": 22,
        "created_at": "2024-01-22T16:50:46.263Z"
      }
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    "id": 29496,
    "name": "VoxOps AI",
    "slug": "voxops-ai",
    "former_names": [
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    "website": "https://www.voxopsai.com/",
    "all_locations": "London, England, United Kingdom",
    "long_description": "Garages, dealers and lenders receive and make a huge number of calls across the customer journey, covering many uses cases. Customers don't want to be kept waiting and want to be proactively informed with reminders and updates by their service providers. \r\n\r\nVoxOps automates up to 80% of their inbound and outbound calls, whilst automating downstream workflows.",
    "one_liner": "Voice AI for Automotive",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1703336574,
    "tags": [
      "B2B",
      "Enterprise",
      "AI",
      "Automotive"
    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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    "regions": [
      "United Kingdom",
      "Europe"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/voxops-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/voxops-ai.json",
    "year_founded": 2023,
    "city": "London",
    "country": "GB",
    "linkedin_url": "https://www.linkedin.com/company/voxopsai/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 1005097,
        "full_name": "Stefan Vukcevic",
        "title": "Founder/CEO",
        "founder_bio": "Ex-Revolut pirate turned AI romantic.\n\n",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/stefanvukcevic",
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      {
        "user_id": 1005662,
        "full_name": "John Hesler",
        "title": "Founder",
        "founder_bio": "Embarked on my construction journey at the age of 16, I've relentlessly climbed the industry ladder, starting from the grassroots and ascending to the summit. With a profound commitment to excellence,I've cultivated a wealth of knowledge that spans the entire construction spectrum. Now, as a pivotal force behind Konstructly, I'm excited to channel my expertise towards revolutionising the construction Industry worldwide.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/mwlite/profile/in/john-hesler",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6050e790fe8908e23f85f9d27e1a1b89feb596a3.jpg"
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      {
        "id": 77091,
        "title": "Konstructly - Making construction payments more efficient",
        "tagline": "Digitise subcontractor payments and connect them to QA and progress. ",
        "body": "# Tl;dr\n\nWe digitize subcontractor invoicing and payment approvals (valuations) and connect them to the respective quality checks of the works, trade handovers, and live progress. \\\n\\\n[Konstructly](https://konstructly.com/) not only streamlines manual processes and provides unparalleled visibility, it drives productivity from contractors’ supply chains using the ultimate incentive - cash.\n\n# Team 👷👷👷\n\nHi everyone, we’re [Dima](https://linkedin.com/in/dmitryvim), [John](https://www.ycombinator.com/companies/www.linkedin.com/mwlite/profile/in/john-hesler), and [Stefan](https://linkedin.com/in/stefanvukcevic), and we’re on a mission to prevent overspend in construction. We’re doing this by ‘following the money’ and mapping payments directly to their corresponding works on-site.\n\n![uploaded image](/media/?type=post&id=77091&key=user_uploads/1005097/6f11951c-d0eb-4ec6-854c-db4c448cf807)\n\n# \n\n# The Problem ❌\n\nIn construction, Production— those doing and managing the build on-site— are disconnected from Commercial, those responsible for the project’s finances and profitability. \\\n\\\nThis ultimately results in overspending. \\\n\\\nFor example, quantity surveyors spend 25-50% of their time processing subcontractor invoices, mostly because they don’t have the necessary data on hand. They also spend a lot of time on low-value, manual tasks like data entry. This means that they spend less time on high-value tasks like tendering and procurement, where oversights result in costly mistakes. \\\n\\\nLack of visibility means that a lot of stuff gets swept under the carpet, only to resurface at the end of a project (eg. variations). It also means that subcontractors are less accountable as it’s more difficult to prove things, resulting in reduced productivity, more rework, and longer delays. \n\n# \n\n# The Solution ✅\n\nA single app connecting Production and Commercial stakeholders, entities, and workflows, to save time, increase visibility and incentivize productivity.\n\n# \n\n# How It Works 👨🏻‍💻\n\nSubcontractors’ site teams log their progress for approval/QA by the general contractor’s (GC) site team and for handover acceptance by the next trade. This progress auto-fills their applications, saving their commercial team a lot of time.\n\nThe GC’s commercial team then just has to amend/review as necessary in a simple, purpose-built interface, with all the production data visible (progress, QA, handover acceptance). It makes valuing and approving the subcontractor’s work a lot quicker and provides much more control/visibility. This incentivizes subcontractors to build the right first time (productivity) as GCs can more easily identify inadequacies and withhold payments until works/tasks are performed properly, in their entirety.\\\n\\\nRecorded Handovers are extremely powerful - general contractors are finally able to capture responsible parties and quantify delays, allowing them to enforce liquidated damages or, at the very least, have more leverage in final account negotiation. This encourages prompt and correct behavior from both parties, once again relying on cash to drive productivity.\n\n# \n\n# How We Came Across the Problem 💡\n\nStefan previously built and operated a construction labor marketplace. \\\n\\\nHe handled invoicing and payments between the subcontractor and contractor, needing to manually unify all the different document formats (photos of handwritten statements, WhatsApp lists, emails, word docs, spreadsheets, etc) and manage the endless back and forth between multiple stakeholders - who all had different opinions on what work had been done and how much should be paid! \\\n\\\nNot only was the submission and approval process extremely inefficient, but there was no visibility over the corresponding works or their quality checks, massively increasing risk and friction between the parties. Something had to change!\n\n# \n\n# Our Ask 🙏\n\nConnect us with relevant constructions peeps! eg. Those at general contractors/house builders turning over $20m/year. \\\n\\\nDrop Stefan an email at: [stefan@konstructly.com](mailto:stefan@konstructly.com)",
        "url": "https://www.ycombinator.com/launches/K3P-konstructly-making-construction-payments-more-efficient",
        "votes": 14,
        "created_at": "2023-12-23T16:24:15.373Z"
      }
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  {
    "id": 29819,
    "name": "Weel",
    "slug": "weel",
    "former_names": [
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    "website": "https://weel.live/",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Weel is the next-generation all-in-one driver co-pilot that redefines your driving experience by turning your smartphone into a complete safety and navigation hub. Our free app offers a built-in dashcam with easy video sharing, a smart navigation system, and advanced AI features—such as augmented reality navigation and ADAS—that reduce your risk by up to 30%. Say goodbye to expensive dashcams and complex setups – with Weel, you get complete driving safety and guidance in one free smartphone app.",
    "one_liner": "GPS & dashcam smartphone app",
    "team_size": 4,
    "industry": "Consumer",
    "subindustry": "Consumer -> Transportation Services",
    "launched_at": 1741795332,
    "tags": [
      "Augmented Reality",
      "Computer Vision",
      "Navigation",
      "Mobility",
      "Automotive"
    ],
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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      "Transportation Services"
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    "regions": [
      "France",
      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/weel",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/weel.json",
    "year_founded": 2024,
    "city": "Paris",
    "country": "FR",
    "linkedin_url": "https://www.linkedin.com/company/weel-inc/",
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    "cb_url": "https://www.crunchbase.com/organization/weel-f331",
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    "primary_partner": {
      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
    },
    "founders": [
      {
        "user_id": 1979026,
        "full_name": "Raphael Krief",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Weel (S24).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/raphaël-krief-237a79217/",
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      {
        "user_id": 1989262,
        "full_name": "Samuel Marciano",
        "title": "Founder/CTO",
        "founder_bio": "Co Founder & CTO\n",
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        "id": 91925,
        "title": "Weel: The First GPS App with a Built-in Dashcam",
        "tagline": "Turn your smartphone into a AI-powered dashcam & GPS.",
        "body": "### **👋 Hi YC!**\n\nWe’re Raphaël and David, and we’re building **Weel — the first GPS app with a built-in dashcam** that works with the phone you already own.\n\n**TL;DR**\n\nWeel turns your smartphone into a dual-facing dashcam and full GPS navigation app — no cables, no SD cards, no new hardware. It records your trips, uploads them securely to the cloud, and gives you evidence in case of incidents.\\\n→ **100% free to use on iOS & Android**\n\nDownload here:[ https://onelink.to/fk9tyg](https://onelink.to/fk9tyg)\n\n**🎥 Demo Video**\n\nhttps://www.youtube.com/watch?v=Gz5eFEN_WNw\n\n**The Problem: Dashcams today are too expensive, messy, and complicated**\n\nDashcams are incredibly valuable: some insurers offer **up to 30% discounts** to drivers who are equipped with one, and footage can make all the difference in resolving accidents or preventing fraud.\n\nYet most drivers still don’t use them.\n\nWe’ve spent weeks testing the most popular dashcams on the market. What did we find?\n\n💸 High cost (up to $550)\\\n🔧 Installation headaches — some even require professional wiring\\\n📼 Local-only footage (SD cards, no cloud)\\\n🚙 Easy to steal if left in the car\n\n📸 Here's what that looks like in real life:\n\n![uploaded image](/media/?type=post&id=91925&key=user_uploads/1979026/14f1457a-7457-4463-9d3d-7e08e114cd81)\n\n**Our Solution: Weel replaces all of that with a simple app**\n\n![uploaded image](/media/?type=post&id=91925&key=user_uploads/1979026/189d2815-2212-4495-80f4-d82616412f65)\n\n\\\nWeel is a smartphone app that offers:\n\n* **External dashcam** — Records the road ahead and provides incident evidence in case of an accident\n* **Internal dashcam** — Designed for professional drivers (taxis, VTCs, delivery) to ensure security and accountability\n* **Smart navigation** — Real-time GPS guidance with traffic-aware routing\n* **Cloud & encryption** — Video footage is uploaded via Wi-Fi and encrypted for secure storage\n* **Accident analysis** _(in beta)_ — Automatically analyzes and describes what happened during a crash, to simplify reporting and defend the driver\n\n**Why are we building this?**\n\nFor months, we’ve been speaking with both professional and everyday drivers — many shared stories of accidents where, without any footage, they lost time, money, and even saw their insurance premiums double. They had no way to defend themselves.\n\nWe believe that access to protection, evidence, and safer driving shouldn’t be a luxury — this kind of technology should be available to **everyone**, for **free**.\n\n**What’s next?**\n\nOur goal is to develop a full suite of AI computer vision features such as:\n\n* **Real-time alerts** — Warnings for risky driving behavior to help prevent incidents\n* **Augmented reality navigation** — Smarter, clearer GPS guidance using AR overlays\n* **Video-based traffic reports** — Automatic detection of traffic jams, hazards, and incidents from user dashcams\n\nto create a large, connected and safe driver network improving traffic flow across cities.\\\n\\\n**🙏 Ask**\n\nWant to help us make driving safer for everyone?\\\nTry Weel for free today on iOS & Android →[ ](https://onelink.to/fk9tyg)[https://onelink.to/fk9tyg](https://onelink.to/fk9tyg%5C) \\\n\\\nIf you have feedback, product ideas, or just want to connect — feel free to reach out at [**raphael@weel.live**](mailto:raphael@weel.live). We'd love to hear from you.",
        "url": "https://www.ycombinator.com/launches/Nuf-weel-the-first-gps-app-with-a-built-in-dashcam",
        "votes": 22,
        "created_at": "2025-07-07T16:20:49.510Z"
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    "id": 30044,
    "name": "Sandra AI",
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      "Sandra.AI",
      "Sandra.ai"
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    "website": "https://www.sandra-ai.com",
    "all_locations": "Paris, Île-de-France, France",
    "long_description": "Sandra AI is building the AI operating system for car dealerships, replacing clumsy legacy software with an AI-native, automation-driven platform. Founded by 3 McKinsey, HEC & MIT alumni who met 10 years ago at Ecole Polytechnique, the company’s AI agents already automates all customer interactions across calls & messages, and increasingly run dealership operations by automating sales and aftersales workflows end-to-end. This operational footprint naturally extends into a proprietary software layer that unifies billing, scheduling, inventory, and CRM into a single dealership OS. ",
    "one_liner": "Building AI employees for car dealers",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1727911106,
    "tags": [
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      "AI Assistant"
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    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Active",
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    "regions": [
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/sandra-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/sandra-ai.json",
    "year_founded": 2024,
    "city": "Paris",
    "country": "FR",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
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    "founders": [
      {
        "user_id": 1413790,
        "full_name": "Badr El Idrissi Mokdad",
        "title": "Founder/CEO",
        "founder_bio": "Badr is the Co-founder and CEO of Sandra AI. Before founding Sandra.ai, he spent three years as a consultant at McKinsey & Company and Bain & Company, where he worked within the BPO (Call centers) space and specialized in digital transformation, growth strategy, and CX business impact. Badr holds a dual degree in Data Science for Business from École Polytechnique and HEC Paris.",
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        "linkedin_url": "https://linkedin.com/in/badr-el-idrissi-mokdad-a36336177",
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      {
        "user_id": 1415799,
        "full_name": "Ismail Majjad",
        "title": "Founder",
        "founder_bio": "Ismail is the Co-founder and CPO of Sandra AI. He holds a joint MS in Data Science from Ecole Polytechnique and HEC Paris. Before Sandra, he spent 3 years at McKinsey, specializing in financial operations and strategic management, especially within the automotive and technology sectors.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ismailmajjad",
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      {
        "user_id": 1363050,
        "full_name": "Skandere Sahli",
        "title": "Founder/CTO",
        "founder_bio": "Skandere is the AI Data Scientist of Sandra AI. He studied Applied Mathematics and Computer Science at Ecole Polytechnique and MIT. He spent 3 years at QuantumBlack, McKinsey’s AI arm, focusing on optimizing operations and integrating advanced AI systems. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/skand%C3%A8re-sahli-8a152616b",
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      {
        "id": 84733,
        "title": "🚗 Sandra AI – The first multilingual AI receptionist for car dealerships",
        "tagline": "📞 Voice AI that manages all dealership calls, 🌟 boosting customer experience and 💸 driving revenue growth.",
        "body": "### **TL;DR**\n\nSandra AI is the first multilingual AI receptionist specifically designed for car dealerships, ensuring that every customer opportunity is captured. Our voice AI solution manages both inbound and outbound calls, allowing dealership teams to focus on closing deals and providing exceptional in-person service while we handle call management.\n\n**See Sandra AI in action:** [Watch our demo here.](https://www.youtube.com/watch?v=USVY_NldBmY&ab_channel=SandraAI)\n\n### **The Problem: Missed calls = Missed opportunities + Low customer satisfaction**\n\n📞 **+80% of appointments** at car service centers are **still booked by phone**, diverting teams from focusing on in-person customers.\n\n💰 **+30% of inbound calls go unanswered**, leading to significant missed opportunities.\n\n⏳ Customers expect quick responses, but **delays and slow follow-ups** drive them to competitors.\n\n😠 **Traditional call centers are expensive** and struggle to meet high demand, resulting in frustrated customers and lost revenue.\n\n### **Our Solution: Sandra AI**\n\n**💬 Multilingual, human-like interactions –** Sandra communicates naturally in multiple languages, making it easy to connect with a diverse customer base\\*\\*.\\*\\*\n\n**🤝 Seamless DMS integration –** Sandra integrates with your dealership management systems, enabling personalized communication and seamless appointment scheduling.\n\n**🔄 Always on, 24/7 –** Sandra never misses a call, capturing leads and managing customer follow-ups at any time of the day.\n\n**🔀 Smart transfer –** Sandra follows your guidelines, transferring to your support teams at just the right moment.\n\n**📝 Observability –** Sandra offers full observability, including call recordings, transcripts, and customer satisfaction overviews.\n\n### **Why we created Sandra AI**\n\nWe are passionate about AI, innovation, and making a meaningful impact in the world. Our experience as consultants in the BPO and automotive sectors revealed how missed calls were costing dealerships significant revenue and harming customer relationships.\n\nThis insight inspired us to develop a solution that leverages AI to drive real change. Thus, Sandra AI was born—an AI receptionist tailored to address the unique challenges faced by car dealerships.\n\n### **Our Ask**\n\nIf you run a car dealership and want to automate your phone call operations, reach out to us at [founders@sandra-ai.com](mailto:founders@sandra-ai.com). We’d love to help you streamline your customer communication and increase sales.\n\nIf you know other dealerships that would benefit from Sandra AI, we’d greatly appreciate an introduction!\n\n### **Our Team**\n\n\\\n**• **[**Badr**](https://www.linkedin.com/in/badr-el-idrissi-mokdad-a36336177/)** –** Former McKinsey & Bain consultant with extensive experience in the BPO space.\n\n**• **[**Ismail**](https://www.linkedin.com/in/ismailmajjad/)** –** Former McKinsey consultant with a strong background in the automotive industry.\n\n**• **[**Skandere**](https://www.linkedin.com/in/skand%C3%A8re-sahli-8a152616b/)** –** AI expert and graduate of Ecole Polytechnique and MIT, with extensive experience at QuantumBlack in AI solutions across various industries.",
        "url": "https://www.ycombinator.com/launches/M2f-sandra-ai-the-first-multilingual-ai-receptionist-for-car-dealerships",
        "votes": 18,
        "created_at": "2024-10-14T14:12:09.883Z"
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    "id": 30083,
    "name": "Curo",
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    "website": "https://www.curocharging.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Acquired by Inspiration Mobility Group.\r\n\r\nFleet EV charging and parking marketplace that scaled to 15+ states for companies like Google, Uber, Zoox, Zipcar, Cox Enterprises, Boston Properties and Irvine Company.\r\n\r\nRaised $6M+ from YC, Blue Bear, Not Boring, Eniac and others.\r\n\r\n\r\n\r\n\r\n\r\n",
    "one_liner": "Electric fleets park and charge anywhere with Curo",
    "team_size": 10,
    "industry": "Industrials",
    "subindustry": "Industrials -> Automotive",
    "launched_at": 1728353435,
    "tags": [
      "Transportation",
      "Energy",
      "Automotive"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2024",
    "status": "Acquired",
    "industries": [
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      "Automotive"
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Early",
    "app_video_public": false,
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    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/curo.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/curocharging/",
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      "name": "Pete Koomen",
      "url": "https://www.ycombinator.com/people/pete-koomen"
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      {
        "user_id": 1159251,
        "full_name": "Kieran White",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder & CEO at Mantle, the pit crew for deployed machines and robots.\n\nPreviously founded Curo (YC F24), the world's largest private EV charging network. Curo scaled to 5,000 stations with Uber, Zoox and Google across 15 states before acquisition by Inspiration Mobility Group ($415M raised).\n\nBefore Curo I joined Tesla at 18 as the youngest employee.",
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        "linkedin_url": "https://linkedin.com/in/kieran-luke-white",
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        "user_id": 1159581,
        "full_name": "Andrew Porter",
        "title": "Founder/CTO",
        "founder_bio": "Andrew Porter co-founded and was CTO of Curo (YC F24, acquired), where he used ML to consolidate parking and charging data and built its marketplace and charging app. At Candle, he builds the mobile app, backend, recommendations, games like Pictionary with AI, and tools for video generation and creator management. Previously, he worked at DraftKings. He holds degrees in mathematics and economics from Occidental College.",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/andrew-porter-a10953b4",
        "x_url": "https://x.com/EnergizedAndrew",
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      {
        "id": 84703,
        "title": "Curo: Electric fleets lease EV charging spots from owners",
        "tagline": "Electric fleets park and charge anywhere with Curo.",
        "body": "👋 Hey everyone! We’re [Andrew](https://www.linkedin.com/in/andrew--porter/) and [Kieran](https://www.linkedin.com/in/kieran-luke-white/), co-founders of [Curo](http://www.curocharging.com)!\n\n# **TL;DR**\n\nOne of the key reasons **fleets struggle to electrify** is **charging issues**, and **EV charger usage** is **painfully low**. Curo’s platform helps EV charger owners lease their charging spots during low usage times to fleets when they need them most. Curo helps **fleets electrify instantly**, at a **fraction of the cost** and **increases** **EV charger owners’** **revenue by 5x**. We work with some of the largest charging owners and fleets, helping us to **grow 100% MoM for the past 4 months.** \n\n<https://youtu.be/N0jcdalLpFU>\n\n# 🤯 **Problem: Electrification faces two huge challenges**\n\n1. 🚘 **Fleets** **(especially distributed ones)** **struggle** **to electrify at scale**: EV chargers can cost thousands of dollars and take years to install, even then installation may not be feasible due to land ownership and operating model. It’s really hard. \n2. 🔌 **EV charger usage** **and** **return on investment is painfully** **slow**: private chargers can’t be monetized due to security and liability barriers, with public chargers not being set up for long-term, exclusive use.\n\nBy 2030, there are expected to be 9 million electric vehicles in fleets, which, together with public vehicles, requires support from an estimated 40 million new EV chargers. We currently have well under 1 million installed. That’s pretty daunting.\n\nEV chargers have to be used way more effectively for us to stand a chance at supporting millions of electric fleet vehicles.\n\n# 🛟 **Solution: Curo - The Virtual Depot Platform**\n\nCuro’s platform helps EV charger owners lease their charging spaces during low usage times to fleets when they need them most (picture an office building hosting a fleet overnight when employees go home).\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/862f55be-f893-4677-bad3-66b353890cf4)\n\nWe make it easy for fleets to identify, plan, and launch at spots they’ve leased and derisk EV charger owners sharing their assets, including legal, security, insurance, and payments.\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/51d0e977-5097-4a60-90b8-7461fd08d490)\n\nCuro allows fleets to park and charge anywhere using immediately available and scalable infrastructure, with no upfront cost. We call this a \"Virtual Depot” because each site has the utility of a fleet’s traditional depot, distributed in a virtual network.\n\n# **🙏 Ask: Share this post**\n\n* Do you know **anyone with EV chargers at a commercial property** or have an interest in installing them? We’d love to help monetize their space.\n* Does a **fleet manager** come to mind? We can help them park and charge right away. \n\nWe’ve distributed one of Tesla's largest electric fleets and worked on awesome things at DraftKings. We’re excited to be building with the YC community.\n\nThanks for reading!\n\nTeam Curo\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/0d87179d-8201-4a16-9ab4-f15687832642)\n\n![uploaded image](/media/?type=post&id=84703&key=user_uploads/1159251/6ab8934d-947f-4a32-a717-7782d98217d2)\n\n",
        "url": "https://www.ycombinator.com/launches/M2B-curo-electric-fleets-lease-ev-charging-spots-from-owners",
        "votes": 35,
        "created_at": "2024-10-11T14:55:42.709Z"
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    "long_description": "Our agents run hardware engineering tasks that normally take hours or days in just a few minutes, allowing engineers to process 100x more data and information. Our platform allows hardware engineers to orchestrate agents for tasks such as analyzing failures across entire test campaigns, pulling the right data and KPIs from their databases, checking how conditions (like temperature or load) affect performance and reliability, and then document findings in reports and dashboards.",
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    "subindustry": "B2B -> Engineering, Product and Design",
    "launched_at": 1759431340,
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        "full_name": "Girish Radhakrishnan",
        "title": "Founder/CEO",
        "founder_bio": "Building AI agents for hardware test data analysis\nex-Tesla, 10 years of experience in the automotive industry working with my co-founder Bruno Finco",
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        "full_name": "Bruno Finco",
        "title": "Founder/CTO",
        "founder_bio": "Building AI agents for sensor data analysis. 10 years in automotive as a lead forward-deployed engineer, working with my cofounder Girish.",
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        "title": "MOVEdot: AI Agents for Hardware Engineering",
        "tagline": "Cursor for Engineering Analysis - From Race Cars to Factory Floors",
        "body": "Hey everyone, we’re [**Bruno**](https://www.linkedin.com/in/bruno-finco-610999b6/) and [**Girish**](https://www.linkedin.com/in/girish-radhakrishnan/), founders of [**MOVEdot**](https://www.movedot.ai/).\n\n# TL;DR\n\n* When developing any sort of hardware, engineers are the bottleneck due to data/information overload, creating huge inefficiencies and waste\n* We built a Cursor-like interface that allows humans and AI agents to work together on multi-modal data, achieving 10-100x efficiency\n* We started with race cars and are now expanding to other industries\n* [**Book a demo**](https://www.movedot.ai/) or email us ([founders@movedot.com](mailto:founders@movedot.com))\n\nhttps://youtu.be/tA-4cdiJ5tI\n\n# ❌ The Problem\n\nEvery engineer says the same thing:\n\n> “Too much data, not enough time.”\n\nData collection has grown 10x, but the **same human brain** still has to make sense of it. Engineers spend days digging through spreadsheets and KPIs to find what failed. Or more realistically, they give up, leaving most data unused.\n\n# ⚙️ The Solution\n\nWe built **MOVEdot**, an AI agent platform that allows you to use 10x more data to make decisions. It connects to data, video, and test standards, automating reports or answering questions like:\n\n> _When did temperature spikes cause mechanical failures, and what were early signs?_\n\nAgents process the data and produce interactive dashboards and mind maps.\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/3f0d742e-35f8-4d25-8c7a-ccd153474570)\n\n# 🌍 The Vision\n\nPhysical-world testing is a **$250B market** across development, durability, and validation. Our goal: give every engineering team **thousands of AI teammates** that helps them use **100%** of their data, increasing performance and shortening time to market. From racing to robotics. From proving grounds to production lines.\n\n# 🏎️ Race Cars - Why We Started Here\n\nWe began in motorsports: time-sensitive environment with short sales cycles. Closed our first 30k deal within 2 weeks of the POC. Well, we were also race car engineers…\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/590dddb8-083c-4492-a213-a4695df7a028)\n\nSince then, we’ve onboarded dozens of racing teams and have expanded into manufacturing, with a POC at [**Tractian**](https://tractian.com/en) (YC W21).\n\n# 👥The Team\n\n[**Bruno**](https://www.linkedin.com/in/bruno-finco-610999b6/) and [**Girish**](https://www.linkedin.com/in/girish-radhakrishnan/) worked together for 8 years as forward-deployed engineers in an automotive consulting firm, where we realized we were the bottleneck. Girish also had a stint at Tesla, seeing the same challenges.\n\n![uploaded image](/media/?type=post&id=95237&key=user_uploads/1931404/d3d6577b-ae0c-4715-803e-1ad78a09d2a6)\n\n# 🔥 Our Ask\n\n* Are you an engineer working with a ton of data? [**Book a demo!**](https://www.movedot.ai/)\n* Know someone who is? Share this post!\n\nContact us at [founders@movedot.com](mailto:founders@movedot.com)",
        "url": "https://www.ycombinator.com/launches/Om5-movedot-ai-agents-for-hardware-engineering",
        "votes": 14,
        "created_at": "2025-11-06T04:35:39.416Z"
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    "all_locations": "New York City, NY, USA",
    "long_description": "Revion is building the operating system for Automotive Retail. Our first product helps Technicians automate administrative work, which drains 30-40% of their day. With Revion, Auto Retailers can service more vehicles and drive more high-margin Revenue. ",
    "one_liner": "Intelligence for Automotive Operations",
    "team_size": 10,
    "industry": "B2B",
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      "url": "https://www.ycombinator.com/people/jon-xu"
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        "full_name": "Zaki GW",
        "title": "Founder/CEO",
        "founder_bio": "Zaki is the Co-Founder and CEO of Revion. Prior to Revion, Zaki worked in GTM at Multiverse (backed by General Catalyst, Index etc.) and Investment Banking at Morgan Stanley and Citi. Zaki graduated from the London School of Economics with 1st Class Honours. ",
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        "linkedin_url": "https://www.linkedin.com/in/zaki-gw-63838014b/",
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        "user_id": 1123224,
        "full_name": "Hanbo Xie",
        "title": "Founder/CTO",
        "founder_bio": "Hanbo is the CTO and Co-Founder of Revion. He joined Terra (backed by YC, General Catalyst etc.) as an engineer at 18. During that time, he went on to graduate with First Class Honours from Imperial College London on a scholarship, where he also conducted research with IBM. Just before Revion, he traded flow derivatives at Goldman Sachs.",
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        "title": "Founding Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/revion/jobs/1z9Zy5a-founding-forward-deployed-engineer",
        "location": "New York, NY, US / Remote (US)",
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        "role": "Engineering",
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        "equity_range": "0.01% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
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    "name": "Rodeo Robotics",
    "slug": "rodeo-robotics",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rodeo builds a robotic technician that automates maintenance so fleets can get vehicles back on the road sooner. Initial deployments focus on oil changes at centralized depots, where routine maintenance competes for scarce technician time.\r\n\r\nCofounders Michael Hazard and Colby Duke met at Applied Intuition, where they worked with OEMs like Toyota and General Motors to bring software and autonomy to vehicles. They saw firsthand how much manual work it takes to keep vehicle fleets running, and learned how to make autonomy reliable through structured testing, real-world data, and human intervention.\r\n\r\nThey’re now applying their experience to the roughly $600B annual US vehicle maintenance market. The average US vehicle is older than ever, driving up maintenance demand at a time when shops already struggle to hire and retain technicians. That gap leaves fleets facing costly downtime and preventable breakdowns.\r\n\r\nDespite this need, vehicle maintenance has resisted traditional automation. Service information is fragmented and unreliable, and vehicle hardware varies significantly between makes and models. Rodeo builds on advances in robotic foundation models to learn maintenance skills that transfer across vehicles.\r\n\r\nRodeo pairs robots with human technicians who ensure each job is completed correctly, handling work the robots can’t yet perform autonomously. These deployments generate training data for Rodeo’s models through both teleoperation and hand tools augmented to record how technicians work. This lets Rodeo earn revenue while collecting the data needed to automate more of each job and improve margins.",
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    "team_size": 2,
    "industry": "Industrials",
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        "full_name": "Michael Hazard",
        "title": "Founder/CEO",
        "founder_bio": "Building robots for vehicle maintenance. Four years at Applied Intuition bringing software and autonomy to vehicles. Google APM. Stanford CS.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/michael-hazard",
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        "full_name": "Colby Duke",
        "title": "Founder/CTO",
        "founder_bio": "Building robots for vehicle maintenance. Previously the tech lead of Applied Intuition's neural simulation team.",
        "is_active": true,
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    "id": 33046,
    "name": "CarSignal",
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    "website": "https://www.trycarsignal.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CarSignal is the AI-native operating system for independent auto repair shops.\r\n\r\nMost shops still run each repair across disconnected management software, scan tools, parts catalogs, service information, texts, spreadsheets, and knowledge kept in technicians’ heads. That fragmentation slows diagnosis, creates duplicate processes, and leaves customers waiting.\r\n\r\nCarSignal connects the full repair process in one system. AI agents research vehicle-specific failure patterns and surface the tests that confirm or rule out each cause. The same system carries each job from booking and intake through inspections, estimates, parts, approvals, payment, and follow-up, so technicians spend less time searching and updating systems and more time fixing cars.",
    "one_liner": "The AI Operating System for Auto Shops.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1785653742,
    "tags": [
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        "full_name": "Michael Muzzin",
        "title": "Founder/CEO",
        "founder_bio": "Founder at CarSignal (YC S26). Previously electrical engineering at NVIDIA, he authored the Factory Failure Disposition Guide governing re-qualification of $300M in HGX and DGX datacenter hardware. BSEE, UCLA.",
        "is_active": true,
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        "full_name": "Junaid Popalzai",
        "title": "Founder/CTO",
        "founder_bio": "founder at carsignal. prev netflix, notion, whatnot, tesla, amazon. eecs @ berkeley",
        "is_active": true,
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      {
        "id": 110407,
        "title": "CarSignal: The AI Operating System for Auto Shops",
        "tagline": "Your shop runs on one AI platform: booking, diagnostics, quoting, parts, and payments all in a single loop.",
        "body": "**TL;DR**:\\\nCarSignal is the AI Operating System for Auto shops. CarSignal provides a complete end to end operating system for mechanics and shop owners. We’re live in over 40 shops across 18 US states and are expanding everyday. \n\n<https://youtu.be/uXUU006Smeo>\n\n🤯 **The Problem**\n\nThe average auto repair shop in the US runs across multiple different systems, none of which talk to each other. With over 300,000 of these shops existing in the US, the problem is vast. Owners are trapped paying for a web of complex disjointed software in order to maintain basic functionality. \n\n🛠️ **The Solution**\n\nCarSignal fixes those discontinuities, streamlining recurring tasks that every shop runs daily. We deploy four Agents across the traditional auto shop stack to boost efficiency and lower lift time. A voice agent is deployed as the shop's receptionist, a custom OBD-II scanner provides factory level context to a diagnostic agent who aids in finding root cause issues in the vehicle. CarSignal also provides an estimate agent who finds real parts and labor times across wholesalers to give accurate estimates instantly, and a marketing agent who keeps track and reminds customers of overdue service and scheduled maintenance.\n\n👋 **Team**\\\nMichael Muzzin - UCLA Electrical Engineering, ex-Nvidia\n\nJunaid Popalzai - UC Berkeley EECS, ex- {Tesla, Amazon, Notion, Netflix}\n\n**Our Ask**\\\nIf you know a mechanic, or are a mechanic, book a demo! We’d love to show you what CarSignal is capable of.\n\ntrycarsignal.com/demo",
        "url": "https://www.ycombinator.com/launches/Sil-carsignal-the-ai-operating-system-for-auto-shops",
        "votes": 24,
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]
