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        "title": "'I Was Poisoned': Can Crowdsourcing Food Illnesses Help Stop Outbreaks? : The Salt : NPR",
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        "title": "How to Avoid Food Poisoning at Restaurants Near You",
        "url": "https://lifehacker.com/how-to-avoid-food-poisoning-at-restaurants-near-you-1836019978",
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    "name": "Centaur",
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    "long_description": "The best AI models aren’t just trained and evaluated with human data; they’re built with superhuman data. The strongest datasets emerge through collective intelligence, where humans and machines work together to outperform either one alone. At Centaur, we create superior quality data by turning annotation into an arena where experts and AI compete.",
    "one_liner": "We Create Superior Data By Making Annotation Competitive",
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    "industry": "Healthcare",
    "subindustry": "Healthcare -> Healthcare IT",
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        "url": "https://news.mit.edu/2023/gamifying-medical-data-labeling-ai-0628",
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        "full_name": "Kamryn Ohly",
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        "url": "https://techcrunch.com/2026/08/03/designarena-creators-raise-7-9-million-to-bring-taste-to-ai-models/",
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        "title": "Design Arena - #1 Benchmark for AI Design",
        "tagline": "Attracted 47K+ users across 136 countries in 4 weeks",
        "body": "**📣 TLDR**\n\n[**Design Arena**](https://www.designarena.ai/) **is the first crowdsourced benchmark for AI-generated design.**\n\nWe evaluate how models perform on real-world design tasks - frontend, audio, image, video and more - with live, organic users. It’s the first step of our broader **mission at [Arcada Labs](http://Arcada.dev) to** **distill and understand the human experience.**\n\n![uploaded image](/media/?type=post&id=92609&key=user_uploads/876530/8919d5ba-9d0e-47e0-9cb9-83ed83b21630)\n\n**❌ Problem**\n\nLLMs can pass bar exams and win IMO gold, but they still generate UIs with white text on a white background. \n\nThere’s no standard to measure taste, usability, or aesthetics, and no benchmark means no pressure to improve.\n\n**🏆 Solution**\n\nhttps://www.youtube.com/watch?v=Ay89pA_wUHM\n\nWe’re building the definitive benchmark for AI-generated design.\n\n![uploaded image](/media/?type=post&id=92609&key=user_uploads/876530/134587f7-3fb8-4a2f-9a8b-d001c05d68da)\n\n**🫶 Ask**\n\nKnow someone you want to see on the leaderboard? Send us a message at [**founders@designarena.ai**](mailto:founders@designarena.ai)!\n\n**💛 Team**\n\nWe’re all best friends from Harvard! \n\n**Kamryn Ohly** (CTO): Harvard Computer Science & Education, prev. Apple\n\n**Grace Li** (CEO): Harvard Computer Science & Neuroscience, prev. Apple",
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        "url": "https://www.ycombinator.com/companies/hub/jobs/uJPqDL4-field-operator-brazil",
        "location": "SP, BR / State of São Paulo, BR / São Paulo, SP, BR / São Paulo, State of São Paulo, BR / Remote (SP, BR; State of São Paulo, BR)",
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      {
        "id": 114525,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/hub/jobs/ghznA3v-machine-learning-engineer",
        "location": "Paris, IDF, FR / Paris, Île-de-France, FR",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$90K - $120K",
        "equity_range": "0.02% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
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    "news": [],
    "launches": [
      {
        "id": 103084,
        "title": "Hub: real-world training data for frontier AI labs and robotics",
        "tagline": "Leveraging a global human network to collect data that don’t exist yet.",
        "body": "Hub provides real-world training data to frontier AI labs and robotics companies. We went to 7-figure revenue agreement on data delivery during the last weeks, working with some of the biggest names in AI and robotics.\\\n\\\n**Why now**\n\nThe gap between frontier models is closing, and internet-scale data is largely exhausted. The only edge left is real-world data that humans have to produce. Every lab now wins or loses on its edge cases, and edge cases need specific data captured by specific people: data that doesn't exist anywhere online. Whoever can go collect the right data first ships the better model first. Human labor is half of global GDP, and almost none of it has been recorded yet.\n\n**What Hub does**\n\nWe capture this data through a global network of humans, across all continents. We route and activate the exact people who fit a lab's brief and deliver in days, not the months it takes to source a generic dataset off the shelf. Because we collect the data ourselves, we can attest its provenance, which you can't do for data you didn't capture. Our ML and QA pipelines then verify and enrich it, so we meet the hardest dataset requirements labs throw at us. The moat isn't the data, it's how fast we can go get it.\n\n**Traction**\n\nFrom 5-figure to 7-figure in revenue agreement on successful data delivery. We now work with some of the biggest frontier AI labs and robotics companies in the world.\n\n**The ask**\n\nTwo asks: —> You're building frontier models or robots and data is your constraint. \\\n—> You're a top robotics engineer, a PhD whose research touches robotics or egocentric data, or someone with deep experience at a leading robotics lab, we're hiring. \\\n\\\nReach out here: [founders@hub.xyz](mailto:founders@hub.xyz).",
        "url": "https://www.ycombinator.com/launches/Qoe-hub-real-world-training-data-for-frontier-ai-labs-and-robotics",
        "votes": 1,
        "created_at": "2026-06-15T14:57:21.570Z"
      }
    ]
  },
  {
    "id": 32160,
    "name": "MusicArena",
    "slug": "musicarena",
    "former_names": [
      "Origami Research",
      "Catapult"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/97ef82ddda796191842e9ee0fb976e3ccf939dca.png",
    "website": "https://musicarena.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "https://musicarena.io/",
    "one_liner": "The crowdsourced benchmark for AI-generated music and music production",
    "team_size": -1,
    "industry": "B2B",
    "subindustry": "B2B",
    "launched_at": 1790372687,
    "tags": [
      "Music",
      "Crowdsourcing",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
    "status": "Active",
    "industries": [
      "B2B"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/musicarena",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/musicarena.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/trycatapult",
    "x_url": "https://x.com/PlayCatapult",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/97ef82ddda796191842e9ee0fb976e3ccf939dca.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 3041908,
        "full_name": "Kevin Yao",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder at Catapult (YC S26). UCLA dropout. Previously ML and robotics research at Berkeley & UCLA. CoRL 2026, AIME, USNCO National Qualifier, Science Olympiad medalist.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/kevinyao05/",
        "x_url": "https://x.com/truekyt",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6b8f9e448bffb8c0d943b9076a1772de16fd6644.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 117104,
        "title": "🎵 MusicArena - the arena for AI music-making 🎵",
        "tagline": " The crowdsourced benchmark for AI systems that make music",
        "body": "**Paucis verbis:**\n\nThe idea is simple: give two systems the same music task, listen to what they make, and vote for the better result.\n\nWe’re starting with AI agents producing music inside a DAW.\n\nGive two agents the same task, watch them work, listen to the finished tracks, and vote for the winner.\n\n<https://youtu.be/Lxo08Axk-YM>\n\n**Why start with LLMs?**\n\nMost existing AI music benchmarks focus on models that generate audio end-to-end.\n\nWe think there’s another category that’s going to become increasingly important: general-purpose models that can hear music, reason about it, and operate the same creative tools humans use.\n\nFrontier models are already becoming much better at computer use, and we expect audio to increasingly become a native modality as well.\n\nToday, these agents are largely operating through tool calls/computer use rather than actually listening to their own output. But as audio becomes a native modality for frontier models, we expect agents to increasingly be able to hear the music they’re making and iterate on it directly.\n\nMusic makes for an especially interesting test because there often isn’t an objective answer, so human preference matters.\n\n**WE NEED YOU!**\n\nPull up to our website and try it out yourself! [musicarena.io](http://musicarena.io)\n\nWant your model on the leaderboard? Forward us an email at [founders@musicarena.io](mailto:founders@musicarena.io) 🦁",
        "url": "https://www.ycombinator.com/launches/USm-musicarena-the-arena-for-ai-music-making",
        "votes": 5,
        "created_at": "2026-09-28T14:55:16.503Z"
      }
    ]
  }
]
