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We get\ncustomers up and running in a day instead of weeks, and let them focus\non business instead of wrestling infrastructure.", "one_liner": "The BI bridge for unstructured data. We automatically bridge the gap…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1322045630, "tags": [ "Analytics", "Big Data" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2012", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "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/amiato", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/amiato.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": null, "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 28952, "full_name": "Nathan Binkert", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": null, "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2077388f4d2dd7f53d1e0ecdf82c3e80febcb43e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 37, "name": "Zillabyte", "slug": "zillabyte", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://zillabyte.com", "all_locations": "San Francisco, CA, USA", "long_description": "Zillabyte is a cloud platform for data analysis. Build apps, not infrastructure. \n\n\nWe set up and maintain the infrastructure you need to analyze your data. All you need to do is develop your app locally and test it using the our CLI. When you need to scale, push to our servers. \n\nEasily add more functionality with components, modular code blocks that let you perform additional functions such as: geo coding, fraud analysis, and web scraping.\n\nUse your own private datasets or plug into our off-the-shelf data, which includes a copy of the web. You can even combine the two and extract rich insights.", "one_liner": "Palantir for sales people", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1322045828, "tags": [ "Analytics", "Sales" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2012", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "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/zillabyte", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/zillabyte.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/zillabyte", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 28367, "full_name": "Jake Quist", "title": "Founder/CEO", "founder_bio": null, "is_active": false, "linkedin_url": null, "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b4f1901316d0a73aaf8e636b5074894d2b5e044f.jpg" }, { "user_id": 33546, "full_name": "Peter Harrington", "title": "Founder/Chief Scientist", "founder_bio": "compulsive builder", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/pbharrin/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/25cdb6b4b41d792bcd5d3e3483e965c70a466510.jpg" }, { "user_id": 33544, "full_name": "Tyler Neylon", "title": "Founder/CTO", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/tyler-neylon/", "x_url": "https://twitter.com/tylerneylon", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa244205bc806fc069d687b0dfef4b2a1a7d9126.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 40, "name": "Amplitude", "slug": "amplitude", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa98c8a53255b3fd2e9d4a65dbb47eec293729f1.png", "website": "https://amplitude.com", "all_locations": "San Francisco, CA, USA", "long_description": "Since graduating from YC, Amplitude (W12) has made it to IPO and beyond by helping cutting edge startups become category leaders. We’ve pioneered the digital analytics category to become the go-to solution for AI pioneers (Cruise, Midjourney), apps that touch millions of consumers (Doordash, Coinbase), and the best in B2B (Atlassian, Rippling, Canva). \r\n\r\nWith product analytics, experiment, CDP, session replay, and more, Amplitude’s digital analytics platform shows you what your users love, where they’re getting stuck, and what keeps them coming back. You want to build a generational business, and we have the capabilities and pricing plans to guide you every step of the way. Check out our special deal for YC companies and get started on your analytics journey. ", "one_liner": "Digital Analytics Platform", "team_size": 750, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1322045852, "tags": [ "Developer Tools", "B2B", "Analytics", "Marketing", "Data Visualization" ], "tags_highlighted": [], "top_company": true, "isHiring": true, "nonprofit": false, "batch": "Winter 2012", "status": "Public", "industries": [ "B2B", "Analytics" ], "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/amplitude", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/amplitude.json", "year_founded": 2012, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/amplitude-analytics/", "x_url": "https://twitter.com/Amplitude_HQ", "fb_url": "https://www.facebook.com/AmplitudeAnalytics/", "cb_url": "https://www.crunchbase.com/organization/amplitude", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fa98c8a53255b3fd2e9d4a65dbb47eec293729f1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/3b53f4b7799dc93e852e88ae6ce25916be161100.png" ], "primary_partner": null, "founders": [ { "user_id": 1293, "full_name": "Spenser Skates", "title": "Founder/CEO", "founder_bio": "Spenser Skates is the CEO and cofounder of Amplitude. 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Amplitude AI Feedback helps you turn feedback into clear product direction.\\\n\\\nTry it for free at [amplitude.com](http://amplitude.com).\n\nhttps://www.youtube.com/watch?v=x_nPbObb_Vo&t=1s \n\n**The Problem**\\\nTeams are drowning in user feedback: Slack threads, app reviews, community posts, support tickets, survey data. You know the insights are in there somewhere, but manually parsing all that takes too long.\n\nLots of AI tools summarize text, but they don’t actually _understand_ product needs or surface actionable insights.\n\n**The Solution**\\\nAmplitude AI Feedback gives you clarity:\n\n* Automatically groups feedback into feature requests, pain points, and bugs\n* Shows how often each topic comes up, with links back to original comments for context\n* Connects insights directly to product analytics so you can see what really moves the needle\n* Lets you ask your own questions and write PRDs with AI, based on all the data\n\nAI Feedback was first built by Kraftful (acq by Amplitude), where the team quickly scaled it to 50,000+ product builders. Joining forces four months ago allowed our teams to connect what users say to what users do in the product for the ultimate product insights. \\\n\\\nGive it a try on [amplitude.com](http://amplitude.com)!", "url": "https://www.ycombinator.com/launches/OpQ-amplitude-ai-feedback-listen-to-users-at-scale", "votes": 86, "created_at": "2025-11-12T14:17:39.156Z" } ] }, { "id": 47, "name": "FarmLogs", "slug": "farmlogs", "former_names": [ "Farmlogs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/35fa71f12e6026ecae1091f58bad04774936fbb8.png", "website": "http://farmlogs.com", "all_locations": "Ann Arbor, MI, USA; Remote", "long_description": "Technology that simplifies farming. Get timely, unbiased information to improve yield, eliminate waste, and maximize the profitability of every acre.", "one_liner": "Software that helps farmers operate more profitable businesses.", "team_size": 5, "industry": "Industrials", "subindustry": "Industrials -> Agriculture", "launched_at": 1322045914, "tags": [ "Analytics", "Agriculture" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2012", "status": "Acquired", "industries": [ "Industrials", "Agriculture" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/farmlogs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2012/farmlogs.json", "year_founded": 2011, "city": "Ann Arbor", "country": "US", "linkedin_url": "https://www.linkedin.com/company/farmlogs/", "x_url": "https://twitter.com/farmlogs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/farmlogs", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/35fa71f12e6026ecae1091f58bad04774936fbb8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 30437, "full_name": "Brad Koch", "title": "Founder", "founder_bio": "Co-Founder of FarmLogs. Currently leading Bushel’s Farm team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brad-koch-05482540/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8acd0099a8531f3d3143b93ef49ee82054b24d91.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 70, "name": "Freshplum", "slug": "freshplum", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://freshplum.com", "all_locations": "San Francisco, CA, USA", "long_description": "Freshplum's goal is to bring the decision-making power of data science to companies who sell goods and services electronically.", "one_liner": "Analytics with action", "team_size": 8, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1326788965, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2011", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "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/freshplum", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2011/freshplum.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/freshplum", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 46566, "full_name": "Sam Odio", "title": "Founder/CEO", "founder_bio": "2x founder & head of product; bringing products to market and scaling them to 500M+ users", "is_active": false, "linkedin_url": "https://linkedin.com/in/samodio", "x_url": "https://twitter.com/sodio", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0a18011a98efbbecf1fabcd43055bee44ea66c41.jpg" }, { "user_id": 26809, "full_name": "Nick Alexander", "title": "Founder/CTO", "founder_bio": null, "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ndalexander/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d511abd99c63c5f8ff1274dc42348481a2c186f5.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 99, "name": "Pagelever", "slug": "pagelever", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://pagelever.com", "all_locations": "San Francisco, CA, USA", "long_description": "PageLever is the leading analytics platform for measuring your brand’s presence on Facebook.\n\n4 of the top 10 Facebook pages rely on PageLever, as well as brands like YouTube, MTV, and Intel.\n\nIn January 2013, PageLever was acquired by Unified Social.", "one_liner": "Facebook analytics. 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Our free Scouting Reports compare games to top grossing peers and assess their likelihood of becoming the next billion dollar mobile game.", "one_liner": "We provide market data on the mobile games business to developers,…", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1398908059, "tags": [ "Gaming", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2014", "status": "Inactive", "industries": [ "B2B", "Marketing" ], "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/think-gaming", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2014/think-gaming.json", "year_founded": null, "city": "New York City", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/think-gaming", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 44880, "full_name": "Michael Hoydich", "title": "Founder/Strategy, Marketing", "founder_bio": "about me\n\nearly internet pioneer: usweb, geocities\nalumni: ycombinator, samsungnext\nfounded multiple companies: industrynext, incognito digital, squrl, edgedna\nfounder, deathstar bbs (1988) atari 130xe, 2400 baud modem\n\ni'm keenly interested in expanding our definition of what's possible via interaction with the web\n\nareas include 3d, haptics, immersives, alt-hardware, tokenization effects, web browsing, audio, beyond", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mhoydich/", "x_url": "https://www.twitter.com/mhoydich", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c36a0d4a6c91a0a0c377bb80990ea015d6e025ef.jpg" }, { "user_id": 5829, "full_name": "Tim Ogilvie", "title": "Founder", "founder_bio": null, "is_active": false, "linkedin_url": "https://www.linkedin.com/in/timogilvie", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/044edeb61c8b0dafd2ae9a4e06d4306ddc3ce2ce.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 808, "name": "eBrandvalue", "slug": "ebrandvalue", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b7687a266acc1565f2404a9e6053b41025b988e9.png", "website": "https://www.ebrandvalue.com/", "all_locations": "San Francisco, CA, USA; Mountain View, CA, USA", "long_description": "eBrandValue, Inc. is a Mountain View, CA-based company that acts as a BI platform for brands and leverages social data to forecast sales and provide competitive intelligence. 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 \r\n\r\neBrandValue has become a de facto forecaster of sales in many industries by accurately predicting and reporting the real-time sales, ROI, brand performance and market share-impact of brands in comparison to all of their competitors. These predictions are confirmed by Nielsen’s ScanTrack, which once again emphasises the catalytic impact of next-stage intelligent social media analysis to sales strategy.
 \r\n\r\neBrandValue enables brands to measure the efficacy and ROI of their events and campaigns, and to track and analyse influencers within their industry. It also provides Meme-Based Netnographic Segmentation which reveals the dimensions that define a brand and encapsulate the nature of social media postings in the sector, thus allowing brands to track their positioning vis-à-vis competition in real-time.
 \r\n\r\neBrandValue recently graduated from Y Combinator’s Winter’15 batch, and received press coverage at VentureBeat. Additionally, eBrandValue was also showcased as part of the Start Up Academy during Cannes Lions as one of the ten globally selected startups that are currently disrupting the marketing/agency business.
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We allow non-technical marketers and product people to set up automated email, push notification, SMS or voice messages when you need your users to take an action, then test how well each message works.", "one_liner": "Create automated messages -- email, iOS/Android push, SMS and web…", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1416308940, "tags": [ "Messaging", "Analytics", "Notifications" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2015", "status": "Acquired", "industries": [ "B2B", "Marketing" ], "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/outbound", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2015/outbound.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/outbound-io", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 7296, "full_name": "Dhruv Mehta", "title": "Founder/CEO", "founder_bio": "", "is_active": true, "linkedin_url": "https://linkedin.com/in/dhruvkaran", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/959716d2345a95006cc55eba69e5056bdba02275.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 828, "name": "Rescue Forensics", "slug": "rescue-forensics", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://rescueforensics.com", "all_locations": "Nashville, TN, USA", "long_description": "Rescue Ops is a digital forensic that archives massive quantities of data from classified advertisement websites specializing in commercial sex ads for law enforcement agencies to use in anti-trafficking investigations.", "one_liner": "Actionable human trafficking intelligence", "team_size": 0, "industry": "Government", "subindustry": "Government", "launched_at": 1416310126, "tags": [ "Analytics", "Security" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2015", "status": "Inactive", "industries": [ "Government" ], "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/rescue-forensics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2015/rescue-forensics.json", "year_founded": null, "city": "Nashville", "country": "US", "linkedin_url": null, "x_url": null, "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rescue-forensics", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 73310, "full_name": "Ryan Dalton", "title": "Founder/CEO", "founder_bio": "I am an experienced intelligence and security leader who loves using cutting-edge technologies to solve hard problems with\nambitious teams to make life better for other people.", "is_active": false, "linkedin_url": "https://linkedin.com/in/charles-ryan-dalton", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0e7ce1e05237675cb62c9c750a8c6ec5febc35a4.jpg" }, { "user_id": 15028, "full_name": "Brandon Hamric", "title": "Founder/CTO", "founder_bio": "", "is_active": false, "linkedin_url": "http://www.linkedin.com/pub/brandon-hamric/28/70a/722/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8f5c3ff2599ecd1e0febe5f4fb60d052f360abb1.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 850, "name": "Automate Ads", "slug": "automate-ads", "former_names": [ "Kuhcoon" ], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "http://kuhcoon.com", "all_locations": "San Francisco, CA, USA; 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Discover code quality, origin, and intent with our in-depth scan. Our patent-pending analysis engine can match up code and find variants, cross-platform.\n\nSee our public report on SDK marketshare at http://sourcedna.com/stats", "one_liner": "Bringing transparency to the app stores and helping developers build…", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1429997721, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2015", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "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/sourcedna", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2015/sourcedna.json", "year_founded": null, "city": "San Francisco", "country": "US", "linkedin_url": null, "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sourcedna", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 76098, "full_name": "Kate Lawson", "title": "Founder", "founder_bio": "Founder SourceDNA, YCS15", "is_active": false, "linkedin_url": "", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e43ba30b670ee4ab0038f2865e1a280954f02008.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1017, "name": "MineralSoft", "slug": "mineralsoft", "former_names": [], "small_logo_thumb_url": "/company/thumb/missing.png", "website": "https://mineralsoft.com", "all_locations": "Austin, TX, USA", "long_description": "MineralSoft is the leading solution for mineral rights and royalty management. \r\n\r\nAre you looking for a better way to manage your minerals? Whether you're an investment fund, a family office, an individual, or an advisor, MineralSoft has a tailored solution for you. We combine industry-leading software with experienced, professional service to maximize the value of your assets. \r\n\r\nSave time, make money, and get peace of mind by managing your oil & gas interests with MineralSoft.", "one_liner": "Data management platform for oil & gas assets", "team_size": 35, "industry": "Industrials", "subindustry": "Industrials -> Energy", "launched_at": 1447311917, "tags": [ "Analytics", "Energy" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2016", "status": "Acquired", "industries": [ "Industrials", "Energy" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mineralsoft", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2016/mineralsoft.json", "year_founded": null, "city": "Austin", "country": "US", "linkedin_url": null, "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/mineralsoft", "github_url": null, "logo_url": null, "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 60663, "full_name": "Jon Parker", "title": "Founder/CTO", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jparker165", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f95364f7148d598e4ddf7203970abd59d94430f.jpg" }, { "user_id": 109393, "full_name": "Gabe Wilcox", "title": "Founder", "founder_bio": null, "is_active": true, "linkedin_url": "https://www.linkedin.com/pub/gabe-wilcox/8/744/b59", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e0b668a8b7240e7011c2764196c56b9abe945740.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1039, "name": "Interstate Analytics", "slug": "interstate-analytics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/67d327f7785e9bbcb484e75cc849ae5a34c64da2.png", "website": "http://interstateanalytics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Interstate Analytics helps marketers make smarter decisions. The customers of the company are Betabrand, Outdoor Voices, EVERLANE, and JACK ERWIN. It pulls in its users’ visit, conversion, and spends data across all channels and centralizes it in a dashboard. It allows its users to spend less time wrangling data and more time acting on it. It applies attribution models to its users’ data that take into account all consumer touchpoints and makes better spend allocation decisions with accurate performance data. 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(i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "Alpha Vantage began as a passion project started by the founders while they were attending grad school together. The idea was conceived through a shared interest in the stock markets and investing as well as a fundamental desire to make something that the founders themselves would want to use. Truthfully, the founders did not originally build Alpha Vantage with the intention of creating a business out of it, but the exponential user adoption and intensity of usage made the decision to start a business natural and obvious - as well as the best way for us to serve our users (and eventually paying customers)." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "A close friend and classmate in graduate school, Lee Lin, encouraged us to apply. Lee went through YC in S09 (incidentally, the same batch as Stripe!) and supported us throughout our entire YC journey by providing valuable feedback on our application, giving us practical advice on the interview, and even flying into California just to attend our Demo Day! The written application itself was very straightforward. YC makes it extremely easy with their online application. If you are working on a startup or even just an idea, you having absolutely nothing to lose by writing and submitting an application! I will admit that the interview (in-person at YC’s HQ in Mountain View, CA) was quite stressful. The nervous energy that permeated the air of the lobby and lounge area, mere steps away from the rooms in which interviews were taking place, was palpable. Naturally, the interview was the classic 10-min rapid fire format. I recall one of the first questions we were asked was quite pointed: “Many have tried to build what you two are doing and failed. How are you guys different?” Deep breathe. Do not get defensive. Answer the question succinctly and confidently. The 10 min were over before we knew it. It was stressful, but fair. Afterwards, we went to Castro street in downtown Mountain View to have dinner. In the middle of dinner, we received the call that would forever change our lives (“We would love to fund you guys!”). We immediately accepted YC’s offer of funding over the phone. We ended up having about a month from our acceptance into YC until the actual start of the batch. In the interim, there were some housekeeping items to attend to such as sending copies of our startup’s incorporation documents and other legal documents to YC’s Legal team and Finance team for review so we could receive YC’s investment! While still in the Bay Area, shortly after our interview, I remember attending a pre-batch kick-off event where Michael Seibel welcomed us to YC. I recall Michael said (paraphrasing), “So, technically the ‘batch’ has not started yet officially… but ‘YC itself’ has already started. So… I suggest you all get started! Like, right now! You can literally start booking office hours today! Start building and talking to your customers! We’ll see you this summer!”) Before long the summer came and the formal programming of the batch began. Things moved fast and we quickly settled into what would become a familiar rhythm: Write code. Talk to customers. Write more code. Talk to more customers. Write even more code. Talk to even more customers. Rinse and repeat. The weekly small group office hours and dinner events were highlights of each week that served to inspire and invigorate. The first dinner event featured the co-founder of Airbnb as a guest speaker, and subsequent dinner guests included Garry Tan (now president of YC!), Brian Armstrong (Coinbase), and even a special guest appearance from the legends themselves - Paul Graham and Jessica Livingston! Demo Day and fundraising were the culmination of our three months of hard work during the batch. The event would be split over two days and held at the venerable Computer History Museum in Mountain View, CA. Sadly, our batch (S18) would be the last batch to be hosted by the museum for Demo Day (due to the larger sizes of subsequent batches). Much like the lobby and lounge of YC’s HQ on interview day, the nervous energy in the backstage green room of the Computer History Museum auditorium was palpable with people pacing back and forth, meditating, or silently rehearsing their pitch one last time. Before long, it was our turn, and the Batch Director fitted the one of us who would be speaking (Olivier) with a microphone and sent us out on stage. The pitch exceeded our own expectations and was delivered with gravitas, poise, and even a touch of humor. The successful pitch was all thanks to the generous time and support of many partners, most notably our group partners Aaron Harris, Adora Cheung, and Yuri Sagalov, but also other partners including Dalton Caldwell. As soon as we finished our pitch, the “likes” from investors came flooding in through the Demo Day software. Fundraising is usually a tough slog and one has to usually deal with many rejections for every “yes” that they receive. The whole process can take several months to upwards of an entire year. We were very fortunate to be in the top-third of our batch in terms of ease of fundraising, with far more “yes” than “no” responses and we were ultimately able to wrap up our fundraising in less than a week. I will note that success in fundraising at Demo Day is not necessarily predictive of future success as a company - so do not get lulled into a false sense of security just because fundraising comes relatively easier to you at Demo Day. There is a quite a vast distance between the moment that one decides to start a company and the moment that one actually sees it get off the ground. Unfortunately, the reality of startup life is that the journey across this distance (and beyond) can often be emotionally brutal; rife with feelings of intense loneliness which have to be balanced against a massive faith in what you are doing – a faith that is hard to sustain alone. We can truly think of no other partner we would want more than YC in embarking on such a journey. Special thanks to our group partners Aaron Harris, Adora Cheung, and Yuri Sagalov. They did NOT read drafts of this write-up, but we can unequivocally say that we would not have made it this far if it were not for their support and wise counsel." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "After our YC batch formally concluded in Sep 2018, we have kept in touch with the YC community through YC’s internal social network Bookface (think of it as a combination of LinkedIn, Quora, and Wikipedia). > Olivier: “I check Bookface at least once a day and it has been an invaluable source of knowledge, tips & tricks, and sometimes much needed humor/relief from the occasional ennui that comes with the territory of being a founder.”Alumni Demo Days (a dress rehearsal / practice-run of Demo Day in which the audience is made up of YC alumni / affiliates instead of professional investors) are also another excellent way for alumni to remained connected with the YC community. > Olivier: “I have attended every single Alumni Demo Day since becoming an alum. For the W19 and S19 batches, I was fortunate to attend in-person in San Francisco. These were very fun, well organized events and doubled as a kind of ‘YC mini-reunion’ of sorts - I miss them greatly. All subsequent batches (W20, S20, W21, S21, W22, S22) I have attended were done remotely through Zoom. Remote Demo Days have also been well organized (and with great music!), but naturally, they cannot compete with the experience of being in-person!”" }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Alpha Vantage began as a passion project created over winter break while the co-founders were in grad school together. Our first major inflection point came less than two months after Alpha Vantage went live, when a large incumbent/competitor called Yahoo Finance abruptly pulled the plug on their market data API, resulting in a massive influx of self-proclaimed “Yahoo Finance shipwreck survivors” (users who were previously using the Yahoo Finance market data API) coming to Alpha Vantage. Seemingly overnight the number of our active users and the number of API queries processed jumped by over 10x. We have never looked back since." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "High quality financial market information (e.g. stock price data of publicly traded companies) has traditionally been available only to large organizations/institutions and generally inaccessible (or very high friction to access) for individual end users. Companies such as Bloomberg and Thomson Reuters have created multi-billion dollar businesses catering to these large organizations/institutions and a specific type of user: the Wall Street trader. Traders in the modern day; however, are different. Traders today more closely resemble software developers who would prefer to access data via API as opposed to a closed-system such as a Bloomberg terminal (an expensive piece of financial hardware that one would find in virtually every financial institution). 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(S11 / W20)\n\nWe’re announcing [**Enveloop**](https://enveloop.com) — a developer-focused **message builder** and **API** that makes it easy to design & send beautiful emails and texts from your app using one simple implementation. And you don’t have to be a designer — we’re focused on making developers look awesome. 🤩\n\n### **📣 Why We Built Enveloop**\n\nDevelopers create apps. Apps need to talk to users. Simple, right? Unfortunately — multiple APIs, maintaining message content, design standards, delivery standards, handling failure/retry -- you have to figure it all out, and, over time, **it all becomes scattered in your code.**\n\n_Worse_ — the content is inaccessible to those that need to edit it because it’s mixed with the design & implementation — buried in your code with all that other complexity. That puts **you** in the middle of any update, big or small. Gross. \n\nWe’ve built a graceful service that solves this. It’s simple for developers, collaborative for consultants and their clients, and ready for fast-moving product & development teams. **It’s Enveloop.**\n\n### **💪 Our Solution**\n\nWith Enveloop, we offer developers:\n\n* A powerful & friendly-to-use message builder.\n* Loads of elegantly-designed templates to get you started quickly.\n* Intuitive formatting built with developers in mind (markdown, mustache, etc.)\n* A single API that supports multiple message types and providers.\n* Easy delegation of message content to others on your team (or to your clients!)\n\nAll this helps to **remove unnecessary code/complexity** from your app and **reduces superficial deployments**. And more is on the way, including support for additional message types and useful message analytics.\n\n![uploaded image](/media/?type=post&id=67598&key=user_uploads/24221/8b766f45-e4c3-4014-ac55-1c5b6cd8d23d)\n\n### **🙏 Our Ask**\n\nWe would love to have you try out **Enveloop**! We’ll automatically upgrade you to our Pro plan for three (3) months at no charge. \n\nAlso, **Share this Post!** Let us know at [founders@enveloop.com](mailto:founders@enveloop.com), and we’ll send a couple of extra goodies your way — just for spreading the word and trying us out!\n\nYou can [sign up for Enveloop](https://app.enveloop.com/auth/new) and get started now!\n\nJason & Ben\n\nFounders, [Enveloop.com](http://Enveloop.com)\\\nW20 / S11", "url": "https://www.ycombinator.com/launches/HaI-enveloop-build-and-send-messages-with-a-single-api", "votes": 43, "created_at": "2022-11-29T22:54:03.268Z" } ] }, { "id": 13102, "name": "Explo", "slug": "explo", "former_names": [ "A La Carte", "Roco Recipes", "Kaz", "Sphere" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/780b4e13b382139633e716a4aa5a74afed2cbe10.png", "website": "https://explo.co/", "all_locations": "New York City, NY, USA", "long_description": "Explo allows you to build customer-facing dashboards and reporting, lightning-fast. With Explo, you can create custom white-labeled dashboards for your application, share custom reports, or embed an AI report builder.\r\n\r\n- Dashboards: build fully white-labled dashboards for your application or enable your users to create their own dashboards from a library of charts you create\r\n\r\n- Report Builder: embed a full self-service analytics experience into your application, allowing your users to create their own tables and charts from scratch\r\n\r\n- Email: cadenced and one off emails to share analytics and data with your users\r\n\r\n- Explo AI: embed an AI experience into your product to enable your users to gain insights into their data\r\n\r\nExplo is built for product teams and developers. We power analytics of all sizes from YC companies to Fortune 500 companies.", "one_liner": "Embedded Analytics and Data Sharing Platform", "team_size": 24, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1584125663, "tags": [ "SaaS", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/explo", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/explo.json", "year_founded": 2019, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/explo-co/", "x_url": "https://twitter.com/tryexplo", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/780b4e13b382139633e716a4aa5a74afed2cbe10.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 421285, "full_name": "Andrew Chen", "title": "Founder", "founder_bio": "Founder at Explo", "is_active": true, "linkedin_url": "http://linkedin.com/in/andrewchen9", "x_url": "https://twitter.com/andrew_c_chen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/00208ab185f090148da5f5d4e078d06419bb2909.jpg" }, { "user_id": 416819, "full_name": "Gary Lin", "title": "Founder", "founder_bio": " ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/garymlin/", "x_url": "https://twitter.com/garymlin", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/36bb1cd911c6b6eefaa10f0fb0189d5255b36392.jpg" } ], "jobs": [], "news": [ { "title": "Explo garners $12M Series A as BI dashboard service gains traction – TechCrunch", "url": "https://techcrunch.com/2022/08/16/explo-garners-12m-series-a-as-bi-dashboard-service-gains-traction/", "date": "Aug 16, 2022" }, { "title": "Explo | Explo raises $12M Series A to build customer-facing analytics and releases self-serve onboarding", "url": "https://www.explo.co/blog/explo-raises-12m-series-a-for-customer-facing-analytics", "date": "Aug 16, 2022" } ], "launches": [ { "id": 80727, "title": "📈 Explo: Customer-facing analytics for any platform", "tagline": "Provide best-in-class analytics to your users in a fraction of the time and cost", "body": "**TLDR** Explo allows you to build customer-facing dashboards and reporting, lightning-fast. With Explo, you can create custom white-labeled dashboards for your application, share custom reports, or embed our AI report builder.\n\nWe’ve launched a new AI report builder that allows your users to converse directly with your application to create custom reports and glean insights.\n\n![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/73f9ccd9-a6e8-4cd0-ae39-6250552cb0ae)\n\n❓**Problem**\n\nProviding data and analytics to your users is crucial; however, building in-app dashboards and fulfilling constant data requests isn’t the best use of time for your product, data, and CS teams.\n\nLarger companies such as Stripe and Hubspot have teams of hundreds of engineers building out their user-facing analytics. You simply don’t have the time and resources.\n\n💡**Solution**\n\nExplo provides a full suite of embedded analytics solutions. Whether you need to spin up a quick dashboard as an MVP for your new product or provide custom, self-service analytics directly in your application, Explo has a full suite of white-labeled solutions to meet their needs.\n\nWith our newest Explo AI product, embed a full CoPilot experience for your users to create reports and glean insights by simply writing and chatting with your application.\n\n* [**Explo AI**](https://www.explo.co/products/explo-ai?utm_source=bookface&utm_medium=social&utm_campaign=deal): embed an AI experience into your product to enable your users to gain insights into their data\n\n ![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/38823908-c17e-487f-b428-e0d6778830e6)\n\n* [**Dashboards**](https://www.explo.co/products/dashboard?utm_source=bookface&utm_medium=social&utm_campaign=deal): build fully white-labeled dashboards for your application or enable your users to create their own dashboards from a library of charts\n\n ![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/88994b4f-a9b0-4909-bad3-64f20b50fd01)\n\n* [**Report Builder**](https://www.explo.co/products/report-builder?utm_source=bookface&utm_medium=social&utm_campaign=deal)[**:**](https://www.explo.co/products/report-builder) embed a full self-service analytics experience into your application, allowing your users to create their own tables and charts from scratch\n\n ![uploaded image](/media/?type=post&id=80727&key=user_uploads/421285/76d047c2-dcb0-4c35-bfa2-63e86488a1d2)\n\n* [**Email**](https://www.explo.co/products/email?utm_source=bookface&utm_medium=social&utm_campaign=deal): cadenced and one-off emails to share analytics and data with your users\n\n🛠️ **How it works**\n\nGet Explo up and running in four simple steps:\n\n1. Connect your existing database or warehouse\n2. Create datasets, dashboards, and tooling in our low-code platform\n3. Style the interfaces to match your existing design and branding\n4. Securely integrate and embed Explo into your application\n\n🔍 **Explo for Internal BI**\n\nIf you’re looking for an internal BI solution that won’t break the bank, Explo offers a **FREE** tier for internal analytics with unlimited users and usage!\n\nExplo is built for product teams and developers. We power analytics of all sizes, from YC companies to Fortune 500 companies.\n\n🚀 **Get Started**\n\nInterested in learning more or getting your hands on Explo? Reach out to us directly at [founders@explo.co](mailto:founders@explo.co) or book a demo [here](https://www.explo.co/book-a-demo).", "url": "https://www.ycombinator.com/launches/L03-explo-customer-facing-analytics-for-any-platform", "votes": 10, "created_at": "2024-05-09T18:02:47.167Z" } ] }, { "id": 13242, "name": "Quill", "slug": "quill", "former_names": [ "Stryve", "Circle", "Shopstack", "Blueprint" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/cadeb9c28b524b34507f63691f600743f4fa5b6f.png", "website": "https://quill.co", "all_locations": "San Francisco, CA, USA", "long_description": "React Library, API, and Management Toolkit, purpose built for customer-facing dashboards.", "one_liner": "Fullstack API and management platform for dashboards and reporting", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1584143839, "tags": [ "SaaS", "Analytics", "API", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/quill", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2020/quill.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/cadeb9c28b524b34507f63691f600743f4fa5b6f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 422077, "full_name": "Shawn Magee", "title": "Founder", "founder_bio": "Co-founder at Quill", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/shawnmagee", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/aeaa7b766757d4fe907436e011c71ff186dfc2cb.jpg" }, { "user_id": 332324, "full_name": "Rishi Raman", "title": "Founder", "founder_bio": "Co-founder @ Quill", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rishisaas/", "x_url": "https://twitter.com/realRishiRaman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f360938b756b7f2cf0932bdf644d84be5dcea825.jpg" } ], "jobs": [ { "id": 62501, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/quill/jobs/w0Z3xNm-software-engineer", "location": "San Francisco, CA, US / Remote (US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $300K", "equity_range": "0.50% - 2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [] }, { "id": 21781, "name": "Datafold", "slug": "datafold", "former_names": [ "Datafold", "datafold" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/196898f11a9311436ed24d99e2972511f8433f5d.png", "website": "https://datafold.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "Datafold automates manual work in data engineering. \r\n\r\nWe leverage agentic AI to automate both day-to-day tasks, such as testing and code reviews, and massive one-off projects, such as data platform code migrations. Companies from Perplexity to Disney use Datafold to unlock more value from their data by freeing up their data teams from manual work, accelerating developer velocity, and ensuring data quality.", "one_liner": "Automating manual and repetitive data engineering tasks with AI", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1599762606, "tags": [ "SaaS", "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/datafold", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/datafold.json", "year_founded": 2020, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/datafold", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/datafold", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/196898f11a9311436ed24d99e2972511f8433f5d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 483323, "full_name": "Gleb Mezhanskiy", "title": "Founder", "founder_bio": "In the past five years, I’ve designed and built data platforms for three very different companies: Autodesk, Lyft & Phantom Auto, a mature public corporation, an exponentially growing marketplace, and a seed-stage startup at the time respectively. I've experienced first-hand the challenges of having poor data quality and observability in a data-driven environment and built multiple internal tools for data monitoring, data cataloging, and lineage.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/glebmezh/", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/efa007907845a82845a6818225cbcc3bbe66af59.jpg" }, { "user_id": 492816, "full_name": "Alex Morozov", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-morozov-54b5081aa", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ebf7f31e2b1778e9afd0a71e7d31a66da7d83ad9.jpg" } ], "jobs": [ { "id": 96703, "title": "Forward Deployed Data Engineer", "url": "https://www.ycombinator.com/companies/datafold/jobs/bQ2v5i2-forward-deployed-data-engineer", "location": "New York, NY, US / Remote (US; NL; DE; AT; HR; PL; FI; EE; LV; LT; FR; GB; CY; BG; CZ; DK; GR; HU; RO; LU; MT; PT; ES; SK; SI; SE)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$110K - $200K", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "Data reliability platform Datafold raises $20M | VentureBeat", "url": "https://venturebeat.com/2021/11/09/data-reliability-platform-datafold-raises-20m/", "date": "Nov 09, 2021" } ], "launches": [] }, { "id": 21782, "name": "Lightdash", "slug": "hubble", "former_names": [ "Hubble" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a88272bf08bd6e30982b7eb442db6a1219b3b388.png", "website": "http://lightdash.com/", "all_locations": "London, England, United Kingdom; Remote", "long_description": "Lightdash is an open-source Looker alternative. It's built on top of dbt and lets users centralise all their team's business logic in one place. ", "one_liner": "The open source Looker alternative ", "team_size": 23, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1599762606, "tags": [ "Developer Tools", "B2B", "Analytics", "Open Source", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2020", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hubble", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/hubble.json", "year_founded": 2020, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/lightdash", "x_url": "https://twitter.com/lightdash_devs", "fb_url": null, "cb_url": null, "github_url": "https://github.com/lightdash", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a88272bf08bd6e30982b7eb442db6a1219b3b388.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/10272e1dcd72f67254cc4d62d8e2fd7e09978097.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 374139, "full_name": "Hamzah Chaudhary", "title": "Founder", "founder_bio": "I've been frustrated with the state of data tools over the last few years, now building Lightdash with a mission to build the data stack for the future of data-driven teams. \n\nFormer Director of Product Management at an insurtech (employee #7), grew the business from seed to Series B, $40M+ funding and >70 employees.\n\nIn previous work, I worked with drone analytics technology and launched a late-night food delivery service based in London", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/hamzahc/", "x_url": "https://twitter.com/hamzahc1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/abdfaa7ace85e87e37b5db80ffaa6649f7d50438.jpg" }, { "user_id": 383593, "full_name": "Oliver Laslett", "title": "Founder", "founder_bio": "Full-stack data enthusiast and all round generalist.\n\nI founded Lightdash: an open-source alternative to Looker.\n\nBefore that I was a machine learning engineer in the fintech sector and a PhD in computational physics.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/olaslett/", "x_url": "https://twitter.com/lightdash_devs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/12b9705d0a2b278941278865c8b0bb02d1a09ce7.jpg" } ], "jobs": [ { "id": 42246, "title": "Full Stack Software Engineer", "url": "https://www.ycombinator.com/companies/hubble/jobs/5HFvO5EmG-full-stack-software-engineer", "location": "GB / ES / PT / IT / DE / FR / SE / NO / FI / CZ / GE / DK / HR / SI / PL / HU / GR / NL / LU / BE / EE / LV / LT / US / Remote (GB; ES; PT; IT; DE; FR; SE; NO; FI; CZ; GE; DK; HR; SI; PL; HU; GR; NL; LU; BE; EE; LV; LT; US)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$100K - $170K", "equity_range": "0.10% - 0.30%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [ "JavaScript", "Node.js", "PostgreSQL", "React", "TypeScript" ] } ], "news": [ { "title": "Lightdash raises $11M Series A led by Accel · Lightning Posts", "url": "https://www.lightdash.com/blogpost/lightdash-raises-series-a", "date": "Oct 08, 2024" }, { "title": "Open source Lightdash gets Accel's backing to bring AI to business intelligence | TechCrunch", "url": "https://techcrunch.com/2024/10/08/open-source-bi-platform-lightdash-gets-accels-backing-to-bring-ai-to-business-intelligence/", "date": "Oct 08, 2024" }, { "title": "Lightdash takes on Looker with an open source BI platform built for dbt • TechCrunch", "url": "https://techcrunch.com/2022/10/06/lightdash-takes-on-looker-with-an-open-source-bi-platform-built-for-dbt/", "date": "Oct 06, 2022" }, { "title": "Why Looker was and Lightdash is a big deal for BI", "url": "https://www.datafold.com/blog/looker-lightdash-big-deal-for-bi", "date": "Feb 03, 2022" } ], "launches": [] }, { "id": 21795, "name": "QuestDB", "slug": "questdb", "former_names": [ "QuestDB Limited" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3aef5c655cdc851ccad387554c204466a87669e7.png", "website": "https://questdb.com/", "all_locations": "London, England, United Kingdom", "long_description": "QuestDB is the data platform for mission-critical workloads where data cannot be lost and batch processing is too slow. It runs real-time trading analytics, grid monitoring, fleet telemetry and mission operations at millions of events a second, with years of history kept queryable.\r\n\r\nData stays in open formats like Parquet, and you or any of your agents can query it in plain SQL.\r\n\r\nQuestDB started where the problem is hardest, on the electronic trading floor, and built outward into energy, aerospace and robotics. Today 7 of the largest 20 investment banks use it, as do energy companies and makers of aircraft, rockets and satellites. 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Before that, I was running algorithmic trading desks at banks and cryptocurrency firms.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/tancrede-collard-35228926/", "x_url": "https://twitter.com/TancThe", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/32e87775d59972e2b1ae146ed36ca880338b2cb6.jpg" }, { "user_id": 481865, "full_name": "Vlad Ilyushchenko", "title": "Founder", "founder_bio": "Founder, CTO, QuestDB\n\n1997 - 2019 Software Engineer, Electronic Trading\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ilyushchenko/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1582960340135f206839659b3f73cc4c6dbfcc58.jpg" } ], "jobs": [ { "id": 109950, "title": "Sales Pioneer, North America", "url": "https://www.ycombinator.com/companies/questdb/jobs/Te2LfsV-sales-pioneer-north-america", "location": "New York, United States / Remote (New York, NY, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$175K - $225K", "equity_range": "0.25% - 0.40%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 109951, "title": "Pre-Sales Engineer, North America", "url": "https://www.ycombinator.com/companies/questdb/jobs/IPyIzny-pre-sales-engineer-north-america", "location": "New York, United States / Remote (New York, NY, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $210K", "equity_range": "0.15% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "QuestDB snares $12M Series A with hosted version coming soon – TechCrunch", "url": "https://techcrunch.com/2021/11/03/questdb-snares-12m-series-a-with-hosted-version-on-the-horizon/", "date": "Nov 03, 2021" } ], "launches": [ { "id": 72748, "title": "QuestDB - Data platform for mission-critical real-time workloads", "tagline": "Where data cannot be lost and batch is too slow", "body": "### TL;DR\n\n[QuestDB](https://questdb.com/) is the data platform for mission-critical workloads where data cannot be lost and batch processing is too slow. Banks, exchanges, energy companies and aerospace teams use it for real-time trading analytics, grid monitoring, fleet telemetry and mission operations. It handles millions of events a second and keeps years of history queryable.\n\nIn [QuestDB Enterprise](https://questdb.com/enterprise/), data tiers automatically to Parquet on object storage, replication and failover keep it available, and role-based access control governs who sees what. Run it in your own data centre, or in your own AWS or Azure account managed by our team (BYOC).\n\nTry the [live demo](https://demo.questdb.io) with billions of rows.\n\n### The Problem\n\nData that arrives fast and cannot be lost usually ends up spread across several systems. Teams run a message bus, a real-time store and a data lake for history, with glue code in between. Batch pipelines are too slow for decisions made while the market moves or the vehicle is in flight. Closed systems keep the data in formats and languages few people can use.\n\n### How QuestDB solves it\n\nOne engine covers the whole path, from the live feed to the archive:\n\n\\- Capture: millions of events a second, with deduplication and out-of-order data handled on ingest.\n\n\\- Compute: materialized views, and live views in beta, compute on data as it lands.\n\n\\- Query: plain SQL with time-series joins (ASOF, WINDOW, HORIZON) across live data and history in one query. You or any of your agents can query it, through SQL or the QuestDB MCP server.\n\n\\- Retain: older data moves to Parquet on object storage automatically and stays queryable. Data also comes out fast in open formats: 500M rows into Apache Arrow in 2.3 seconds.\n\n### Where it runs\n\n\\- Capital markets: market data and trades captured once, then pre-trade signals, TCA and markouts, intraday risk and surveillance on the full record.\n\n\\- Aerospace and robotics: telemetry from aircraft, rockets, satellites and robot fleets, monitored live and replayed in full.\n\n\\- Energy and infrastructure: readings from reactors, turbines and substations at full resolution, with anomalies flagged as they happen and years of history kept for regulators.\n\n### Production deployments & Customers\n\n7 of the largest 20 investment banks use QuestDB.\n\n\\- **Capital markets:** Ripple, OKX, Broadridge, Mizuho, Brevan Howard, Marex, Paxos, B3 (Brazil’s National Stock Exchange), SIX Group, Raymond James, HDFC Bank, One Trading, BTG Pactual, Laser Digital (Nomura), Selini Capital, Caladan, Danske Commodities, GTS Securities\n\n\\- **Aerospace:** Airbus, Firefly Aerospace, CesiumAstro, OpenC3, US Air Force\n\n\\- **Energy, industrial, Telco:** Bosch, Arbor Energy, Electio, Inductive Automation (Ignition's Core Historian runs on QuestDB), Airtel, NetApp, Weidmann, Copenhagen Atomics\n\nSee our [customers page](https://questdb.com/customers/) for more details.", "url": "https://www.ycombinator.com/launches/IvM-questdb-data-platform-for-mission-critical-real-time-workloads", "votes": 31, "created_at": "2023-07-04T15:26:19.935Z" } ] }, { "id": 21810, "name": "RTCanary", "slug": "rtcanary", "former_names": [ "Postered" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ec97b498b05dee7edfc68e0372c6de558aa1e3c.png", "website": "https://www.RTCanary.com", "all_locations": "San Francisco, CA, USA; San Jose, CA, USA; Remote", "long_description": "WebRTC is the reason we’ve stayed connected and productive during the COVID era, powering most of the browser-based video communications platforms you use every day (Google Meet, Facebook Messenger, etc.). But when a call gets dropped or the audio cuts out, it’s hard for the video developers to understand why it happened. This is a major problem for new players in the video chat industry that lose customers because of call quality issues; customers should be able to use video platforms with the features they want without having to sacrifice call quality.", "one_liner": "We are a monitoring and analytics plugin for all video chat platforms.", "team_size": 0, "industry": "Consumer", "subindustry": "Consumer -> Virtual and Augmented Reality", "launched_at": 1611981310, "tags": [ "SaaS", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2020", "status": "Inactive", "industries": [ "Consumer", "Virtual and Augmented Reality" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rtcanary", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2020/rtcanary.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rtcanary", "x_url": "https://twitter.com/RTCanary", "fb_url": "https://www.facebook.com/RTCanary", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4ec97b498b05dee7edfc68e0372c6de558aa1e3c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 445884, "full_name": "David Albers", "title": "Founder", "founder_bio": "CEO @ Postered & RTCanary\nUCSD Grad '19\nEx NCAA Division 1 water polo player\nEx Amazon Logistics Manager\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-albers-352152133/", "x_url": "https://twitter.com/BDavidAlbers", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9a4872e3aaa4c878215dbdb3e055b19ba215f93.jpg" }, { "user_id": 487696, "full_name": "Ayan Bandyopadhyay", "title": "Founder", "founder_bio": "Founder @ Finic (YC W23). Caltech class of 2020, former software engineer at Robinhood.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ayan-bandyopadhyay-9a45b1103/", "x_url": "https://twitter.com/ayanicband", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84f47331f39f9e66682b24a2dc6262c3ce44ca15.jpg" }, { "user_id": 489542, "full_name": "Michael Rupprecht", "title": "Founder", "founder_bio": "I am a math major at Caltech with an interest in solving problems generally. I'm a cofounder of Postered, Inc., where we're developing an iOS app focusing on an AR experience for buying eyewear, but my past professional experience has been mainly in the financial industry, with some teaching jobs as well. My \"hobby interests\" include education/pedagogy (mainly in math), learning about cultures, urban development and rail infrastructure, law, and history.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mkrupprecht/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2fb1909c267a329a1c889d36c421ce12cfc9a31.jpg" }, { "user_id": 488488, "full_name": "Kapil Sinha", "title": "Founder", "founder_bio": "Hi, I'm a Caltech 2020 alum, where I majored in Computer Science. I have worked as an employee at options market-makers in Chicago, big tech in the Pacific Northwest, and a tech startup in the Bay Area - I am a big fan of startup culture and California weather :)\nI especially enjoy a combination of backend development and product management.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kapil-sinha", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/95c0eefcae99c34ea93ccf7b73f3d943d67f90bb.jpg" }, { "user_id": 488620, "full_name": "Bradley Justice", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bradley-justice-568519195/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/cea2750d8ec0bb0f6870e8610b095c2404f1847b.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 22126, "name": "Mito", "slug": "mito", "former_names": [ "Saga", "Mtio" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1806ed31ccae256cd4739f203e4b05a30a49eea.png", "website": "http://trymito.io", "all_locations": "New York City, NY, USA; Remote", "long_description": "Mito is Cursor for data science. We’re building an AI enabled IDE to 10x the productivity of data people. Data analysts use Mito to automate reports without relying on internal engineering resources. \r\n\r\nMito is used by thousands of business analysts, data scientists, and automation engineers at some of the world's largest banks, private equity shops, and consulting firms. \r\n\r\nOpen source is key to our enterprise sales strategy. Mito is open source and built on top of Jupyter. 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He's our head of growth, and manages our open source community as well as our sales pipeline.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jacob-diamond-reivich-03ab62145/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/21e7aaf673fff445854cea35f7f0a9210496de82.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 22703, "name": "Bluelight", "slug": "bluelight", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6eef372188bf11f727a7e18932768426714ab7f0.png", "website": "https://usebluelight.com/", "all_locations": "San Francisco, CA, USA", "long_description": "Bluelight gives home service contractors the power of real-time data to optimize and scale their business.", "one_liner": "Analytics, built for the trades.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1614629753, "tags": [ "SaaS", "B2B", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/bluelight", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/bluelight.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/usebluelight/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6eef372188bf11f727a7e18932768426714ab7f0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 558705, "full_name": "Alex Dixon", "title": "Founder", "founder_bio": "Founder Bluelight (W21) \nAnalytics built for the trades: usebluelight.com", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dixonalex/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/287a3d2e1d71359b2d849fe1973a46592051dcbd.jpg" }, { "user_id": 586007, "full_name": "Stewart Lamke", "title": "Founder", "founder_bio": "Worked in revenue management and strategy. 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[Datrics AI](https://www.datrics.ai/digital-ai-analyst?utm_source=yc&utm_medium=launch&utm_campaign=ai-analyst-launch) analyst empowers business leaders by answering questions faster to seize growth opportunities and pinpoint weaknesses, conversing for insights, checking diagrams, and turning questions into business decisions. [Join our waitlist](https://www.datrics.ai/digital-ai-analyst#waitlist)! [ ](https://www.youtube.com/watch?v=9cpaQcB7h7o)\n\n---\n\nHey everyone! We're [Anton](https://www.linkedin.com/in/vaisburd/), [Kirill](https://www.linkedin.com/in/kirill-kirikov-96507425/), and [Volodymyr](https://www.linkedin.com/in/volodymyr-sofinskyi/), the founders of Datrics!\n\n![](https://lh7-us.googleusercontent.com/-fQNLKIkTNHACsAApJGUhMSYsAcyt4yWRC4sdU3vVd8cu8vWQ-zS0y2mm-gjbss4U8ojszRmR0aiJJEUp8n_FfhTUhB5Vduz40M0OuXzmRgcEiQAgEmXoPsV2SNiP-zWPysLjH9s1rwn)\n\nFor the past years, we have been dedicated to solving data consolidation and insight delivery challenges for traditional enterprises such as banks and credit unions, minimizing time to insights. Their combined expertise in data science consulting, app development, and advanced financial analytics has been pivotal in delivering timely and relevant insights.\n\n**The problem - Too many spreadsheets, data sources, and an overload of tasks**\n\nManagers spend 70% of their time on routine tasks, leaving little room for strategic decision-making.\n\nSometimes, understanding the organization's financial streams requires handling complex spreadsheets or enduring long waits for reports, slowing down the decision-making process. Data is scattered across various platforms and formats, making it difficult to access and analyze. This results in delays and inefficiencies, with data analysts spending most of their time cleaning and organizing data rather than providing timely insights.\n\nAs a result, valuable time and energy are wasted, diverting attention away from critical strategic goals. How can we streamline these processes and empower managers and knowledge workers to make quicker, more informed decisions?\n\n**Datrics - The only digital analyst you need to get your questions answered quickly.**\n\nThat's where Datrics steps in. An AI virtual analyst as the new team member with data analytics expertise who's always ready to help. Our solution is here to change how businesses interact with data questions and tasks.\n\n![uploaded image](/media/?type=post&id=79775&key=user_uploads/355612/85f92382-6213-4417-8708-b7bb07d1b74c)\n\n**Another Data Analytics platform?**\n\nDatrics Digital Co worker differentiates itself from Microsoft Copilot and other low-code platforms by addressing specific enterprise needs in sales and finance. Unlike Copilot, our platform enables CFOs to access tailored data insights through natural language queries, like comparing loan performance, without requiring direct database access. With a proprietary low-code workflow manager, Datrics empowers analysts to automate processes, enhancing productivity for enterprises with limited database access and automated workflows.\n\n**Why do enterprises' finance, sales, and operations teams choose Datrics AI Analyst?**\n\nIt allows managers to make faster decisions in finance, sales, and operations by asking questions using natural language and instantly uncovering insights. It visualizes data, discovers growth areas, and pinpoints weaknesses — all in one intuitive platform. Say goodbye to guesswork and hello to actionable business decisions.\n\n### **Instantly understand your data and give insights at superhuman speed.**\n\n![uploaded image](/media/?type=post&id=79775&key=user_uploads/355612/688addcc-c4dc-4779-b71e-c84f6d76ea2d)\n\n* **Obtain Visualization and reports.**\n* **Get Forecasts and predictions.**\n* **Use a conversational interface.**\n* **Obtain a .csv file or send the information directly to your email.**\n\n### **It's like a Data Analyst in your team 24/7**\n\nWith Datrics AI digital analyst, you can simply create tasks, ask questions in natural language, and get answers instantly. Whether you want to understand your sales trends or comparative performance, get the specific data for the business plan, or build a weekly budget assessment report.\n\n**The Next Generation of Data Analysis**\n\n### **Our Ask**\n\nFor growth-stage startups and enterprises, I'm happy to talk to your revenue and financial leaders. [Click here.](https://www.datrics.ai/digital-ai-analyst?utm_source=yc&utm_medium=launch&utm_campaign=ai-analyst-launch)\n\nBook a demo or join our waitlist. [Click here](https://www.datrics.ai/digital-ai-analyst?utm_source=yc&utm_medium=launch&utm_campaign=ai-analyst-launch#waitlist).\n\nWe would love to hear your feedback or questions [founders@datrics.ai.](mailto:founders@datrics.ai)\n\nWho do you know needs insights for their data? We want to learn more about their work and help them.", "url": "https://www.ycombinator.com/launches/Kkh-datrics-ai-powered-digital-coworker-for-analytics", "votes": 65, "created_at": "2024-03-28T16:51:53.713Z" } ] }, { "id": 22968, "name": "Trendpop", "slug": "trendpop", "former_names": [ "StreamReport" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b40e160733825b6020e2d1156723b24f3f649def.png", "website": "http://trendpop.com", "all_locations": "San Francisco, CA, USA", "long_description": "Trendpop is the leading analytics and insights platform for short-form video marketing. We’re on a mission to help anyone go viral on social video platforms. 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My passion lies in creating environments where innovation and collaboration thrive.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bentzur", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d82cb251ef21146ec55a9724b59d74a1280f5c97.jpg" } ], "jobs": [], "news": [ { "title": "Creator platform Collab acquires social video marketing platform Trendpop | Mobile Marketing Magazine", "url": "https://mobilemarketingmagazine.com/creator-platform-collab-acquires-social-video-marketing-platform-trendpop", "date": "Feb 16, 2022" } ], "launches": [] }, { "id": 23259, "name": "Haystack", "slug": "haystack", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff1cda43059b714dc8f36a50fe66096c4ac537ca.png", "website": "https://usehaystack.io/", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "We are bringing the competitive advantage data-driven engineering teams like Google have - to everyone else.\r\n\r\nOur analytics platform plugs directly into developer tools like Github to provide insights on delivery speeds, bottlenecks, and risks that impact team velocity & developer happiness. \r\n\r\nWe're trusted by some of the world’s most innovative teams: Microsoft, The Economist, and Indiegogo and backed by Y Combinator, Soma Capital, Funders Club, and strategic angels (Founder @Optimizely, SVP Sales @Amplitude) . \r\n\r\nHaystack is a culture of tinkering, learning, testing and iterating. We ship quickly and help our customers do the same. We're led by founded by two technical founders who have experienced this problem first-hand after scaling their startups from 0 to 100m+ users. ", "one_liner": "Delivery Analytics for Software Teams", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1614623869, "tags": [ "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/haystack", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/haystack.json", "year_founded": 2019, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/31456802", "x_url": "https://twitter.com/usehaystack", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/haystack-e170", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ff1cda43059b714dc8f36a50fe66096c4ac537ca.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 422263, "full_name": "Julian Colina", "title": "Founder", "founder_bio": "Helping build performant, happy software teams as the CEO & Cofounder of Haystack.\n-----\nEntrepreneur - CEO - Advisor - Technical Executive - Software Engineer", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julian-colina-b430b776/", "x_url": "https://twitter.com/shift_j", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1b5c33b08020b2ccd55c51e4e647aa48680f4da0.jpg" }, { "user_id": 75211, "full_name": "Kan Yilmaz", "title": "Founder", "founder_bio": "You can learn more about me from kanyilmaz.me", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/thellimist/", "x_url": "https://twitter.com/thellimist", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4addff4ac455d5bce273697d422d7713ea009ab5.jpg" } ], "jobs": [ { "id": 69417, "title": "Full Stack Engineer", "url": "https://www.ycombinator.com/companies/haystack/jobs/NAHo0jO-full-stack-engineer", "location": "Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$3K - $7K", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "Google Cloud", "JavaScript", "PostgreSQL", "React", "TypeScript", "Docker" ] }, { "id": 71815, "title": "Senior Backend Engineer", "url": "https://www.ycombinator.com/companies/haystack/jobs/lj32oIN-senior-backend-engineer", "location": "Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$3K - $7K", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "Google Cloud", "JavaScript", "PostgreSQL", "TypeScript", "Docker" ] }, { "id": 82696, "title": "Influencer Marketing", "url": "https://www.ycombinator.com/companies/haystack/jobs/HYIUauN-influencer-marketing", "location": "Remote (US)", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$3K - $8K / monthly", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "How To Avoid The Software Delays Holding Your Business Back", "url": "https://www.forbes.com/sites/davidprosser/2023/12/14/how-to-avoid-the-software-delays-holding-your-business-back", "date": "Dec 14, 2023" } ], "launches": [] }, { "id": 23530, "name": "Waydev", "slug": "waydev", "former_names": [ "Waydev", "Waydev AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90694f4bdb7eb8f17b02f85faee3e3455edb365b.png", "website": "https://waydev.co/", "all_locations": "Bucharest, Romania; Remote", "long_description": "Waydev maps AI velocity across the SDLC — built on DORA, SPACE, and DX — turning developer tool data into board-ready evidence of adoption, impact, and ROI.", "one_liner": "Engineering intelligence for AI transformation", "team_size": 13, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1616455133, "tags": [ "AIOps", "Analytics", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Productivity" ], "regions": [ "Romania", "Europe", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "I started my entrepreneurial journey early, building my first company in Romania at 21. Over the next decade I launched multiple products and learned how hard it is for engineering teams to explain the value they create. The idea for Waydev came from firsthand frustration while trying to understand developer output beyond gut feelings and subjective dashboards. There was no clear way to measure engineering performance using system data, so I decided to build it myself. " }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "I applied to YC because I believed Waydev could become a category defining product and I wanted to sharpen our execution with the best early stage accelerator in the world. It wasn’t an easy path. I applied 13 times before being accepted, and each rejection forced me to refine the idea, tighten the pitch, and improve the product. When we finally joined YC, the experience was transformative. The batch pushed us to move faster, simplify our messaging, and talk to customers every day. Demo Day helped us raise capital and accelerate our trajectory. More importantly, YC gave us a mindset of relentless iteration that still defines how we operate." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "YC has remained a core part of our company. I’m active in Bookface, talking to other founders about growth, engineering metrics, and the future of AI driven development. Many of our customers and partners come through YC referrals. We share learnings with other B2B and infra founders, and we rely on YC’s internal forums, templates, and tools for fundraising, hiring, and pricing decisions. YC helped us get started, but the community is what continues to compound our progress." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Waydev started as a simple tool to analyze Git activity. The product evolved quickly as customers pushed us toward deeper insights and enterprise scale. Key moments included securing our first Fortune 500 customers, launching integrations with GitHub, GitLab, Bitbucket, and Azure DevOps, and building out enterprise features like SSO, RBAC, and advanced reporting.\r\n\r\nA major inflection point came when we recognized that engineering intelligence needed an AI native interface. This led to the launch of Waydev AI, our conversational layer that lets leaders ask questions and get insights instantly without dashboards. Today, we support both large enterprises and fast growing teams, and we continue to integrate AI deeply into how engineering work is analyzed and measured." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Engineering is the most expensive function in modern companies, but historically it has been the hardest to measure. Leaders rely on anecdotal feedback, siloed dashboards, or lagging indicators that fail to capture the full picture of productivity, quality, and delivery. This lack of visibility leads to poor decisions, misalignment, reactive planning, and inefficient budgets.\r\n\r\nWe solve this by giving teams a unified intelligence layer that turns system data into clear, actionable insights. The problem is huge because every company depends on software, and engineering performance directly affects speed, cost, and competitiveness. I decided to work on this because I experienced the pain myself as a founder and saw thousands of teams navigating the same challenge." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "Our long term vision is to build the intelligence engine behind every engineering organization. If we succeed, companies will understand their engineering health as clearly as they understand revenue or churn. Leaders will make better decisions, teams will work in a more predictable and balanced way, and engineering will become a transparent, measurable, and optimized function. In the future we imagine, every company will be able to ask one question, “What is happening in engineering and what should we do next?” and Waydev will deliver the answer instantly." } ], "url": "https://www.ycombinator.com/companies/waydev", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/waydev.json", "year_founded": 2017, "city": null, "country": "RO", "linkedin_url": "https://www.linkedin.com/company/waydev", "x_url": "https://twitter.com/waydevco", "fb_url": "https://www.facebook.com/waydevco", "cb_url": "https://www.crunchbase.com/organization/waydev", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90694f4bdb7eb8f17b02f85faee3e3455edb365b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6778d7987675acff0a6a787b50a403697fbc9895.png" ], "primary_partner": null, "founders": [ { "user_id": 22643, "full_name": "Alex Circei", "title": "Founder", "founder_bio": "I'm Alex Circei, co-founder and CEO of Waydev (YC W21). I started my first company in Romania at 21 and have spent 18+ years building startups. In 2017 I launched Waydev, defining the Software Engineering Intelligence category — bootstrapped to profitability, recognized by Gartner and G2, and trusted by Fortune 500 teams at American Express, Caterpillar, Dropbox, and PwC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexcircei", "x_url": "https://twitter.com/AlexCircei", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4695778456f82cf23a8abf3d16502c8ba7eae530.jpg" } ], "jobs": [ { "id": 43959, "title": "Head of Sales", "url": "https://www.ycombinator.com/companies/waydev/jobs/BFA4rwl-head-of-sales", "location": "Remote (RO; Austin, TX, US; San Francisco, CA, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$50K - $140K", "equity_range": "0.10% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 85262, "title": "Head of Growth", "url": "https://www.ycombinator.com/companies/waydev/jobs/ecnmEt7-head-of-growth", "location": "Menlo Park, CA, US / Remote (US)", "type": "Contract", "role": "Marketing", "role_type": null, "salary_range": "$50 - $250 / hourly", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Data Analytics" ] } ], "news": [ { "title": "The question AI providers hope VPs of Engineering never ask", "url": "https://thenextweb.com/news/the-question-ai-providers-hope-vps-of-engineering-never-ask", "date": "Apr 20, 2026" }, { "title": "'Tokenmaxxing' is making developers less productive than they think | TechCrunch", "url": "https://techcrunch.com/2026/04/17/tokenmaxxing-is-making-developers-less-productive-than-they-think/", "date": "Apr 17, 2026" }, { "title": "Waydev Adds Ability to Track How Much AI Code Winds Up in Production - DevOps.com", "url": "https://devops.com/waydev-adds-ability-to-track-how-much-ai-code-winds-up-in-production/", "date": "Apr 16, 2026" }, { "title": "How to Measure AI ROI on Your Engineering Team", "url": "https://waydev.co/how-to-measure-ai-roi-on-your-engineering-team/", "date": "Mar 17, 2026" }, { "title": "How to Measure Engineering Productivity When AI Writes Code", "url": "https://waydev.co/when-ai-writes-the-code-what-do-we-measure/", "date": "Feb 17, 2026" } ], "launches": [ { "id": 94663, "title": "Waydev AI: The ChatGPT for Engineering Intelligence", "tagline": "The first AI-native conversational platform that helps engineering leaders measure performance, track AI adoption, and understand how AI impacts delivery.", "body": "Hey, we’re Waydev, and we’re launching Waydev AI on YC and [ProductHunt.](https://www.producthunt.com/products/waydev?launch=waydev-ai)\n\n![uploaded image](/media/?type=post&id=94663&key=user_uploads/22643/9cf132dd-67ec-4ece-bed1-d5c53f6c5981)\n\n### https://youtu.be/0Pz5mRiLpzE?si=rIQV4WzzaGLLB31M\n\n### Problem\n\nEngineering leaders struggle to understand performance, delivery, and the real impact of AI across their teams. Traditional engineering intelligence tools require endless dashboard setup, data interpretation, and manual correlation between GitHub, Jira, and other sources.\n\nThese legacy platforms were never built for the AI era - making it hard to measure AI adoption, productivity, and team impact in a way that feels natural or conversational. Even newer tools are bolting on “AI features” rather than rethinking the experience from the ground up.\n\n### Solution\n\nWe built **Waydev AI**, the first **AI-native conversational platform for Engineering Intelligence**, designed so leaders can stop analyzing dashboards and start asking questions.\n\nWaydev AI transforms how engineering teams understand performance and delivery. Just connect your tools - GitHub, Jira, Cursor, and more—and start asking in plain English:\n\n* “What’s our AI adoption rate this quarter?”\n* “Which teams improved their cycle time the most?”\n* “How has AI impacted our delivery and bug rates?”\n\n#### Key Features\n\n💬 **Conversational Interface:** Chat directly with your data instead of digging through dashboards.\\\n🤖 **AI-Native Insights:** Instantly generate reports, visual charts, and performance breakdowns from natural-language questions.\\\n🔌 **Connect Your Stack:** Integrate GitHub, Jira, Cursor, and more in seconds.\\\n📈 **Dynamic Reports:** Save and share real-time insights that update automatically as your teams ship.\\\n🔍 **AI Adoption Metrics:** Track how generative AI tools like Copilot or Cursor are influencing developer productivity.\n\n### Our Asks\n\n🎯 Try **Waydev AI** today! Sign up at [waydev.co/ai](https://waydev.co/ai) and start asking your data.\\\n🚀 Support our [Product Hunt launch on October 15, 2025](https://www.producthunt.com/products/waydev?launch=waydev-ai)\\\n💼 We’re hiring engineers and AI researchers passionate about transforming the future of Software Engineering Intelligence.", "url": "https://www.ycombinator.com/launches/Ocp-waydev-ai-the-chatgpt-for-engineering-intelligence", "votes": 28, "created_at": "2025-10-15T07:14:08.221Z" } ] }, { "id": 23541, "name": "Mayan", "slug": "mayan", "former_names": [ "Mayanalytics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3156f1474cc8f79243b1ef9315efb33362a2e9f7.png", "website": "https://www.mayan.co", "all_locations": "Las Vegas, NV, USA; Remote", "long_description": "We help Amazon sellers grow their business with our data-driven automations. We are starting out with advertising and inventory. From there, we're moving to other avenues that help accelerate brand growth! ", "one_liner": "A growth automation platform for Amazon sellers", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1614757171, "tags": [ "SaaS", "Analytics", "E-commerce" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mayan", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/mayan.json", "year_founded": 2020, "city": "Las Vegas", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trymayan", "x_url": "https://twitter.com/TryMayan", "fb_url": "https://www.facebook.com/TryMayan", "cb_url": "https://www.crunchbase.com/organization/mayan", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3156f1474cc8f79243b1ef9315efb33362a2e9f7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 576046, "full_name": "Christopher Compean", "title": "Founder", "founder_bio": "I'm an MIT graduate who has worked in several startups as a data-driven impactful employee. The startups have been in the incubator, ed-tech, then video advertising spaces, with all of them based in Boston. \n\nMayan is my first venture, co-founded with two friends from MIT. I live near Las Vegas with my wife and 2-yr old son.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chriscompean/", "x_url": "https://twitter.com/MrChrisCompean", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d39d46be5f371ba5e26a80ca16ab2164aed8d0e.jpg" }, { "user_id": 174169, "full_name": "Javier Garcia", "title": "Founder/CTO", "founder_bio": "4× founder (2× technical COO, 2× technical co-founder). Built and scaled products from 0→1 and 1→n while running all the “everything else” — ops, GTM, fundraising, hiring, and special projects.\n\nThrive in high-ambiguity, high-speed environments. Founder who can operate without ego, integrate quickly, and move the needle fast. I help companies clear bottlenecks, deliver cross-functional initiatives end-to-end, and create the operating systems that keep growth on track.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jagarcia29", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/59d36f454d0882c1586d48fb8bb863556b97f708.jpg" } ], "jobs": [], "news": [ { "title": "Mayan raises $5M Series A funding | MarTech Cube", "url": "https://www.martechcube.com/mayan-raises-5m-series-a-funding/", "date": "Mar 14, 2023" } ], "launches": [] }, { "id": 23598, "name": "SwiftSku", "slug": "swiftsku", "former_names": [ "SwiftSku", "Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3bb40b858fa07c3be03a29e849b4171670bbe91c.png", "website": "https://swiftsku.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "SwiftSku connects the $650B convenience store industry with management and analytics. \r\n\r\nSwiftSku’s app connects to point of sales at convenience stores in real time, enabling owners to remotely manage and monitor their stores. We take the guesswork out of running a convenience store with predictive analytics, dashboards, and reports.\r\n\r\nSwiftSku's CEO, Mit Patel, grew up managing the inventory, pricebook, and reporting of his family’s convenience stores, and, when vendors would come by, he’d bridge the language barrier as a translator. More than 85% of independent convenience stores are owned by Indian families like Mit’s.\r\n\r\nSolving convenience store owners' pains of today leads to SwiftSku's greater vision of optimizing the supply chain, facilitating a retailer agnostic consumer to brand relationship, and providing real time insights to brands and retailers.", "one_liner": "Management and analytics software for convenience stores", "team_size": 35, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1614638915, "tags": [ "Fintech", "SaaS", "B2B", "Analytics", "Retail Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "B2B", "Retail" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/swiftsku", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/swiftsku.json", "year_founded": 2019, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/swiftsku/", "x_url": "https://twitter.com/swiftsku", "fb_url": "https://www.facebook.com/swiftsku/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3bb40b858fa07c3be03a29e849b4171670bbe91c.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": 619650, "full_name": "Mit Patel", "title": "Founder", "founder_bio": "I started SwiftSku because I saw an opportunity to solve the problems that stole time and money from my family and friends in convenience stores.\nAs co-founder and CEO of SwiftSku, I have a burning passion for product development and nothing satisfies me more than building software that delights our customers.\n\nMy technical background is in backend and network engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mitpatel283", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/28c54ca9973182a10f5284f570cc686d6b760b7c.jpg" }, { "user_id": 617138, "full_name": "Daniel Mazur", "title": "Founder", "founder_bio": "As co-founder and COO of SwiftSku, I manage operations and strategy, however, I come from a background of analytics and design.\n\nFor pleasure, I enjoy playing tennis and learning about emergent technologies in the fields of additive manufacturing, machine learning, and decentralized applications.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danielmazur1", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f328e56d7c9cbcff997893e94f404fdde2021559.jpg" } ], "jobs": [ { "id": 61063, "title": "Founding Head of Growth", "url": "https://www.ycombinator.com/companies/swiftsku/jobs/NDEBx0g-founding-head-of-growth", "location": "New York, NY, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$90K - $210K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] }, { "id": 70810, "title": "Senior Account Executive (SMB)", "url": "https://www.ycombinator.com/companies/swiftsku/jobs/FYRif1G-senior-account-executive-smb", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$70K - $180K", "equity_range": "", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [ { "title": "Entrepreneurs earn grand prize at Rice Business Plan Competition ", "url": "https://www.eng.auburn.edu/news/2021/06/swiftsku-rice-business-plan-competition.html", "date": "Jun 29, 2021" } ], "launches": [] }, { "id": 23954, "name": "Serif Health", "slug": "serif-health", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b34a9937df90f010a7a0ad7dcae030b7c2469c94.png", "website": "https://www.serifhealth.com", "all_locations": "Los Angeles, CA, USA; Remote", "long_description": "At Serif Health, we are taking the complexity out of the cost of healthcare. Our mission is to make healthcare pricing and contracting more transparent, easier to understand, fairer, and ultimately more affordable for all. New price transparency regulations have made a wealth of healthcare pricing and reimbursement data publicly available for the first time, but it is still extremely hard to ingest, organize, and actually use this data to understand the cost of care. That’s where we come in. Serif Health is building healthcare price intelligence data products and APIs to power the future of more transparent healthcare.\r\n\r\nWe are an early-stage, venture-backed startup with a small, collaborative team of healthcare experts, engineers, and designers. 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With our cutting-edge AI and experienced marketers, we deliver your campaigns 10x cheaper, better, and faster than traditional agencies or freelancers.\n\n### **🧨 Problem**\n\nStartups need paid ads to grow, but building a full-stack marketing function takes years and significant funding. Most companies end up hiring traditional agencies, freelancers, or in-house teams and face these problems:\n\n![uploaded image](/media/?type=post&id=82580&key=user_uploads/719782/92924144-4967-4efa-a7ad-83bd60a9e10f)\n\n### **✅ Our Solution**\n\nKaya delivers a seasoned team and marketing analytics from the get-go, saving you significant time and money.\n\n* **Campaign management services:** We launch and optimize your marketing campaigns across multiple channels (Google, LinkedIn, Meta, TikTok Ads).\n\n ![uploaded image](/media/?type=post&id=82580&key=user_uploads/719782/3f54641a-8033-4bf5-8a0d-cd7214991d2e)\n\n* **Marketing analytics platform:** Customized dashboard and Slack bot to track CAC and all marketing KPIs.\n* Slack channel with Kaya’s founders and marketers for seamless collaboration.\n\n# \n\n### **💖 Why Founders Love Us**\n\n* **Results**: See campaigns launched in 2 weeks and performance improvements within 1 month.\n* **Speed:** Our internal tools utilize data science and AI to optimize campaign performance. Our SLA is 1-3 days, depending on task complexity.\n* **Work quality:** Despite using AI in our workflow, our experienced marketers further amend and ensure everything is of top-notch quality. We also provide unlimited revisions.\n* **Pricing:** Our technology enables us to deliver better results with minimal overhead costs, and we pass those savings back to you.\n* **Cultural fit:** We're a startup ourselves, so we prioritize experimenting in a structured way and working iteratively.\n\n...and more. [**Read testimonials →**](https://www.usekaya.com/reviews?utm_medium=referral&utm_source=yc&utm_campaign=launch-yc-ads-management-service)\n\n# \n\n### **🚀 Interested?**\n\nTell us your marketing goals and get a tailored marketing plan featuring:\n\n* Practical paid ads strategy and sample ad copies\n* Insights about competitor paid ads you can’t find anywhere else\n* CAC forecast\n\n[**Get a free proposal here →**](https://app.usekaya.com/start?utm_medium=referral&utm_source=yc&utm_campaign=launch-yc-ads-management-service)\n\n### 🤗 **Our team**\n\nHi everyone, we’re Brian and Jee– the team behind [Kaya](https://www.usekaya.com/?utm_medium=referral&utm_source=yc&utm_campaign=launch-yc-ads-management-service).\n\nAt Kaya, we've built our team and services with founders in mind. We initially started with a SaaS product and quickly learned that most marketing tools are designed for experienced marketers, not busy entrepreneurs. We also realized that founders generally want two things: quick implementation and solid results. So we've created a service that delivers both. Our team provides comprehensive marketing support, from strategy to execution, backed by AI and data analytics. Our approach typically results in significantly better ROI compared to traditional methods, helping your startup grow faster without the usual marketing headaches.\n\n![uploaded image](/media/?type=post&id=82580&key=user_uploads/719782/9ce2573f-93f9-4a2d-8fd9-6d47db06d039)\n\n", "url": "https://www.ycombinator.com/launches/LTw-kaya-ai-powered-marketing-agency", "votes": 88, "created_at": "2024-07-30T21:26:18.423Z" } ] }, { "id": 24250, "name": "Breadcrumbs.io", "slug": "breadcrumbs-io", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e428b571dcd57f52e3df670e2dc5bdc62d03aaa2.png", "website": "http://www.breadcrumbs.io", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Breadcrumbs analyzes customer and prospect data to identify hidden revenue opportunities. It does this through a no-code scoring engine that can be set up in minutes rather than months. 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But the reality is 100s or 1000s of dashboards with way too many visualizations that try to fit to every potential business question.\n\n![7 tips and tricks from the dashboard experts](https://www.tableau.com/sites/default/files/2021-11/7%20tricks%20from%20dashboard%20experts.png)\n\n### **✨ Our Solution**\n\nAsk a question, get the answer.\n\n![uploaded image](/media/?type=post&id=69587&key=user_uploads/729456/78de839e-d8f0-44f7-8c99-615e1706f4f8)\n\n🎥➡️ [Watch Our Demo Video ⬅️](https://www.loom.com/share/5852ead90511473ab1cbecd2313ffe4c)\n\n### **🚸 Our Background**\n\nWith our first product () we help teams to find, understand and trust their analytics on top of Snowflake. We learned how important it is to have trustworthy data combined with correct logic to enable great analytics.\n\nWith Dot, we build on this strong foundation and design the assistant to find and use trustworthy data. 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In 1999, he co-founded SNAZ, a venture backed mobile wallet and universal shopping cart. After the Dot.com bust, he set up a distressed fund to acquire busted convertibles bonds of tech cos that could thrive in the future. In 2019, he set up a pvt. credit fund which was sold in 2021 to his JV partner, J.C. Flowers & Co. Ravi holds a Degree in Computer Science and a Wharton MBA.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rchachra/", "x_url": "https://twitter.com/rchachra", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5924ae5024e7221014146da3f8c32d3541967da8.jpg" }, { "user_id": 763615, "full_name": "Vijay Lavhale", "title": "Founder", "founder_bio": "Building VantedgeAI\nInvesting at Eight Capital", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vijay-lavhale-86b06938/", "x_url": "https://www.twitter.com/vijay_lavhale1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5a1a246f671e71e4764cba5f0f6a9c27830cb2fc.jpg" } ], "jobs": [], "news": [ { "title": "Venture Debt Fund 8vdX's New Move To Aid Startups In Early Stages", "url": "https://www.vccircle.com/venturedebt-fund-8vdx-s-new-move-to-aid-startups-in-early-stageshttps://www.vccircle.com/venturedebt-fund-8vdx-s-new-move-to-aid-startups-in-early-stages", "date": "Jan 04, 2023" }, { "title": "8vdX Secures Investment To Back Early And Growth Stage Startups", "url": "https://inc42.com/buzz/venture-debt-player-8vdx-secures-investment-to-back-early-and-growth-stage-startups/", "date": "May 27, 2022" }, { "title": "How venture debt marketplace 8vdX provides funds on founder-friendly terms", "url": "https://yourstory.com/2022/04/venture-debt-marketplace-8vdx-startups-ravi-chachra/amp", "date": "Apr 12, 2022" } ], "launches": [ { "id": 89343, "title": "🚀 Vantedge AI — The Agent marketplace to scale your investing workflows", "tagline": "AI agent marketplace with a secure data layer infrastructure and compliance framework", "body": "Hi everyone! We’re building **an agent marketplace** with a secure data layer infrastructure and compliance framework **for institutional investors and fintech AI startups**.\n\n### **🧠 The Problem**\n\nInstitutional Investors know they need to adopt AI — but where does one start?\n\n* AI is new, noisy, and fragmented.\n* Consultants lack the required knowledge and are expensive.\n* Broadly available mainstream AI tools aren't built with investor workflows, compliance, or security in mind.\n\nMeanwhile, fintech AI startups are building targeted specialised agents — but distribution to investment funds is a huge challenge.\n\n### **💡 Our Solution**\n\n**Vantedge AI** is the first Agent marketplace with distribution to a rapidly expanding client base of 10+ blue-chip institutional investors managing **$100B+ in AUM**.\n\n* **For investors:** A secure, plug-and-play platform with curated AI agents to streamline research, diligence, and analysis.\n* **For AI startups:** A distribution and infrastructure layer that gets your agents in front of institutional clients, with SOC 2-level compliance, usage tracking, and real-world data access.\n\nWe’re now opening up access to our Agent Marketplace for startups building fintech AI tools.\n\n### **⚙️ How It Works**\n\n* Investors can upload any document or search for filings and instantly run a vetted AI agent — like an SEC filings parser or investment memo generator.\n* AI startups can integrate their agents through our SDK and securely run them inside investor workflows — no sales motion required.\n* All data is stored in a secure Data Vault with workspace-level access, so funds can collaborate and startups can serve verticalized use cases.\n\n🎥 [Here’s a 90-second demo of how it works](https://youtu.be/piElxwuZXbM):\n\n---\n\n### **🎯 Who It’s For**\n\n* **Investors and funds**: Looking to adopt AI but want a secure, curated, and compliant solution.\n* **AI startups**: Building tools for the investment ecosystem and looking for distribution, infrastructure, and real customers.\n\n---\n\n### **📣 Call to Action**\n\n* 🎯 **Funds**: Want to try the platform? **Please reach out to us at** [**founders@vantedgeai.com**](mailto:founders@vantedgeai.com)\n* 🤖 **AI startups**: Want distribution to $100B+ in AUM? [**Join the Agent Marketplace waitlist**](https://forms.gle/cHen2Hh74n3B1Npr8)\n\n### **🙌 Thanks YC**\n\nWe wouldn’t be here without the YC community, and we’d love your feedback, intros, or support. If you’re building in AI, fintech, or investing, we’d love to connect.", "url": "https://www.ycombinator.com/launches/NF1-vantedge-ai-the-agent-marketplace-to-scale-your-investing-workflows", "votes": 12, "created_at": "2025-04-08T19:51:06.367Z" }, { "id": 80487, "title": "Yardstick - Data-driven startup valuation and KPI benchmarking tool", "tagline": "Benchmark and value startups with ease", "body": "Hello, YC community! We're Ravi and Vijay, data enthusiasts and startup founders who've faced the significant challenge of quantifying startup success. Through our experiences in building and growing companies, we've recognized a glaring need in the market for transparent, accessible benchmarking and valuation metrics—tools that rely on data rather than just intuition or incomplete data. Here is a [quick demo](https://app.storylane.io/share/916eqxtsotpo). \n\n![uploaded image](/media/?type=post&id=80487&key=user_uploads/763615/96e63adc-0b0b-46db-a6cc-0ddca5afeb65)\n\n**What Yardstick Offers:**\n\nYardstick delivers comprehensive tools for accurately benchmarking startup performance and estimating valuations. _Our platform utilizes an extensive dataset of startup performance metrics, providing growth rate percentiles to precisely position startups against a broad database. Moreover, Yardstick computes valuation estimates_ through sophisticated models that analyze KPIs in relation to valuation data and qualitative insights from hundreds of startups.\n\n**The Problem and Our Journey:**\n\nNavigating the vibrant startup ecosystem, we found that evaluating these ventures has traditionally been more art than science_. Our experience in assessing hundreds of early-stage startups for equity and debt investments revealed the difficulty of understanding their market standing without resorting to costly market research or external consultants_. This challenge inspired the creation of Yardstick.\n\n**Our Solution:**\n\nYardstick seamlessly integrates into the workflows of fintechs, investors, and entrepreneurs wanting to underwrite a startup’s performance. Our solution offers not just KPI benchmarking but also insights into current valuations. _With both an API and a user-friendly web application_, Yardstick serves both technical and non-technical users, ensuring comprehensive accessibility.\n\n**Give it a try:**\n\nWe are thrilled to introduce Yardstick and are eager for your feedback. Whether you are a fintech looking to perform KPI benchmarking on potential clients, an investor in need of data-driven tools, or a startup founder trying to understand where your startup stacks up against peers or what should be the latest valuation based on current traction, [we invite you to try out Yardstick](https://ventureinsights.ai/yardstick/) (without a need to sign up!) and share your insights. For those interested in integrating our tools directly, check out our [API documentation](https://documenter.getpostman.com/view/32615745/2sA35G3MMX).\n\nWe look forward to your feedback!\n\nThank you,\n\nRavi and Vijay", "url": "https://www.ycombinator.com/launches/KwB-yardstick-data-driven-startup-valuation-and-kpi-benchmarking-tool", "votes": 7, "created_at": "2024-04-29T16:44:40.352Z" }, { "id": 79828, "title": "Ventureinsights.ai - Stay on top of your angel portfolio with Smart Updates", "tagline": "Effortlessly oversee your investments, with all the critical information you need at your fingertips", "body": "As an angel investor, if you have more than a handful of startups in your portfolio - staying on top of how each company has been performing through their investment updates is hard as it is difficult to remember their KPIs and goals from their past investment updates. At [VentureInsights](https://d2vchz04.na1.hs-sales-engage.com/Ctc/I9+23284/d2VcHZ04/Jll3l5QDW7Y8-PT6lZ3p1W5CnVzJ74HHFqW2cDQZK3w0lS2N2DPgRM2mnSXW7jhCrx1-80tGW6KWBsH3yQ423W3dCVRC4zzGg0W7SFwY58DSQxwW1wh6wZ1yNz2yW2vwcTV6R2x7WW8wFCM24RdyFBW3pbYyX8JcB6mW9dC9Yy98f9RLW8GM13H59q25kN5JDmyQ5NJfHW7bflGj4W15DbW39dwrq2sZ44lW5MSk1L4Ytt7YN29Pt1s17ZP8W39H9Nq1CPqbrW3DBFhf1SJ7qyW4mfrMn7_yq8fW4rPFC65-11JFW2VLKHY4BjmnYW7grPCC5NJqgZW3nxBSB4yr6LxMdG2b7tjzyDf5J9l9b04), we understand the value of your time and investments. That's why we've developed a tool that makes it super easy to monitor and manage your angel investments - introducing the [Smart Updates](https://d2vchz04.na1.hs-sales-engage.com/Ctc/I9+23284/d2VcHZ04/Jll3l5QDW7Y8-PT6lZ3p0W8fMLXx20nsnJW1Fvfzk6LTlP8W7_dsKt4MkxzyW7T-3sj5km1B2W8lqhdj1vMTQrW6sggCG8Jq_dqN2NQgS0YVlbcW5xtKvn5wf6VvVvQ49m70_-3zVgNJNn8k216sW2_mcJy5Hl3wLW1TfLDV4Q-LdNW6j82r87k1rF4W6q-ZFr2YTTCqW3GHkcR7hz18dN7-ndQnKdzldW4qwwSL8MqJHbW3nV7Fy6Y_TGpN3B7ZKfrf5MmW1Ww_9j5Mkt4vVL6n3X3FwV22W5L00xN6LMzKFW8KLgCj5GB_fDV3P8q38yQBpxW583JwQ83tvL8W6L7LzC8dLjx4f4qcN9T04) tool.\n\nYou can check out a quick demo here: \n\n[Smart Updates](https://d2vchz04.na1.hs-sales-engage.com/Ctc/I9+23284/d2VcHZ04/Jll3l5QDW7Y8-PT6lZ3nvW2KsthG7X96xrN50pTLK_FNYWN7015NBP-H4NW2FHRff7hYp1rW3VxbFM4fFNvrN7TZNPL81Rx1W6g377d734DhZW5ypF8m8W5nZpW804f8l5DhMsDW4XB9ss2dfGn-W1BkkVW551P7yW1fFJD868ChbQN7sgyWVP3wjQW3LCD753v0hbRW71Nzv42zVC0bVjpXy21wGF9zW19W_D443lVc-W12vQXT8kPHLHW1Kck915rMMt8W4LMN0J4K92bwW5qvD716NvgvwW8cBhhG81-GHDW2GMCy15YydKNW2BPzxL6mQrXwW5DvtKh6Gw1ssW7fSQNv5nF78FdTBS7P04) is designed to streamline your investment oversight process. It collates, summarizes, and visualizes the key performance indicators (KPIs) of your portfolio companies through engaging graphs and concise summaries. Our tool also smartly tags and organizes periodic updates from founders, allowing for a seamless review process.\n\n![](https://lh7-us.googleusercontent.com/HW6OYmd-pGO2k9jwRLHrY6Z-zCB79mLvmx-8DMW4240EyJR-mvVMQCRFg3etNY5M_K7k1nUfGt3Mz9VQaUR1RaJ8RsPyYqrPAE29lM0DudvTL7enJ4Y4RSIYZS2Tnel5DmBJx42arzcePasBykiBY-o)\n\nImagine having the ability to effortlessly oversee your investments, with all the critical information you need at your fingertips. [VentureInsights](https://d2vchz04.na1.hs-sales-engage.com/Ctc/I9+23284/d2VcHZ04/Jll3l5QDW7Y8-PT6lZ3ngW3ryJGW988LTtVCB1qF3P6-vKV36xRM2qB12PW8cD7cx7NSV9-W5xfpFw676htDW7V4P7D1qWRpSW7Zv5Rb1nlw6TW4cnG0F3P4XD2W6T2KzH3yzsB0W6qM6Gj8VF64tN55l1Xf_hxnGW2YXl3T1Vt3rgW7W86w07jC8DvW7GRV6N4qWD6DW6nzz735lLkhXW2jCN6Z63jGhrW68NjHW81PX0xW6jkWXD2X_LYGW5RZHt835pHw1N78K1WkRJFMcW1t90vJ545dxkW5x3mW95jRDPCW5gy2LH6qbJKHW16_zgx13L1c-W43SF4V62lwBgW8FL4Pt3HpS31f6Z0gDF04) makes this possible, through a dashboard with the insights you need to make informed decisions and maximize the potential of your portfolio.\n\nWe believe that effective monitoring leads to better support for your investments and, ultimately, to higher returns. Let VentureInsights take the complexity out of managing your angel investments, so you can focus on what you do best - identifying and investing in the next unicorn! \n\nLearn more and sign up by visiting [VentureInsights](https://d2vchz04.na1.hs-sales-engage.com/Ctc/I9+23284/d2VcHZ04/Jll3l5QDW7Y8-PT6lZ3nHW1sBdsm3Nnz8wW9llzzq4q5vt3N3mz7FK7GZxJW22YdHZ6NL9dLW1Q2VPz4_hWr7VFBrpq8bcvRSN846zRq1lLBFN1dwH99HldbCN2W3fM0jzHRhW3zQ73V93GGl8N52DSZBB67vnW3m6MSS6LN4DXW5LmmR18wC_SQW4VkpTP3Bdc2LW1419rf3Yzkp8W2R3VGW10-MwfN1x34MPHjqgQW9hHggj96cYLQW43PKsz8H3q0hW71rLtY2xG6H2N3kYKzmf7-MQVKvxSz26_tGvW1SZp0X3wWy8nW4WMzfB5BNhStW4JSl5t7YnKsfW2DF5Z52Z8wPlf1xW0tv04) today. \n\n Best,\n\n8vdx Team", "url": "https://www.ycombinator.com/launches/KlY-ventureinsights-ai-stay-on-top-of-your-angel-portfolio-with-smart-updates", "votes": 10, "created_at": "2024-03-30T21:34:33.124Z" }, { "id": 76266, "title": "🚀 VentureInsights: Intelligent data-driven decision-making for investors", "tagline": "VentureInsights harnesses AI to empower VCs and angels with actionable intelligence and data-driven decision-making.", "body": "Hey everyone! 👋\n\nWe're thrilled to unveil [**VentureInsights**](https://www.8vdx.com/ventureinsights/), our latest venture in revolutionizing early-stage investing. Having backed over 90 YC startups, we've crafted a solution to the persistent challenges of investment discovery, analysis, and monitoring.\n\n[ ](https://www.youtube.com/watch?v=IDo_EN21P4E)\n\n### **The Problem**\n\nEarly-stage investing is fraught with scattered data, cumbersome discovery, and a lack of effective tools for analyzing startups with minimal track records. Post-investment, investors grapple with the pain of tracking scattered investment updates, often losing out on pivotal insights.\n\n### **The Solution**\n\nEnter VentureInsights, your AI-driven hub for early-stage investing. Here's how we're changing the game:\n\n1. **Easy Discovery**: Connect with actively fundraising startups, reducing the grunt work of finding investment-worthy ventures.\n2. **In-Depth Analysis**: Convert inbound founder communications into detailed investment profiles with our AI Analyst tool, giving you the essentials to make informed decisions swiftly.\n3. **Smart Monitoring**: Our Smart Updates feature parses regular updates from your portfolio companies, offering a continuously refreshed performance snapshot and industry benchmarking via the 'Yardstick' score.\n\nAlready, many YC founders have expressed interest in VentureInsights. Experience VentureInsights firsthand with the [**click-through**](https://app.storylane.io/share/sfhx5tbvsqmv) demo or just book a personal demo with our team through this [**calendar link**](https://meetings.hubspot.com/vijay-lavhale/vi-demos).\n\nTo celebrate our launch, we're providing $200 in joining credits that can be applied towards subscription fees ($19.99/month), and AI reports ($9.99/report). No credit card is needed to start your trial.\n\nJoin the venture revolution with us, and let's navigate the investment journey together.\n\nCheers,\n\nRavi and Vijay (Founders@8vdx.com)", "url": "https://www.ycombinator.com/launches/Jq6-ventureinsights-intelligent-data-driven-decision-making-for-investors", "votes": 12, "created_at": "2023-11-15T23:47:27.197Z" }, { "id": 68625, "title": "8vdX - Extend your seed extension with a ‘seedex booster’ of up to $1M", "tagline": "Venture debt marketplace with a fundraising stack for early stage startups", "body": "**We are excited to announce the launch of 8vdX Seedex Booster, a new addition to our expanding product portfolio at 8vdX. This product offers early stage startups the opportunity to access seed extension debt of up to $1 million.**\n\nUntil recently, we were focused on providing bridge to Demo Day loans to current YC batches. However, the current market environment has given us the opportunity to expand our product offering.  The 8vdX Seedex Booster aims to solve some of the fundraising challenges currently being faced by founders including;\n\n* Not enough funding runway to meet the performance benchmark expectations of series A investors\n* Decreased valuations that require founders to achieve significantly higher targets in order to avoid a down round \n* Raising seed extension rounds can be challenging in the current environment\n\n8vdX's Seedex Booster program augments a startup’s seed extension raise with up to $1 million of additional funding with founder friendly venture debt.\n\n**How it works is pretty simple:**\n\n**8vdX is offering to contribute up to 25% of a startup's seed extension round**, with the remaining 75% sourced from insiders or others. Our ticket size is between $250k-$1 Mn, capped at 25% of your seed-ex round. Here is an example of how it would work:\n\n* Let’s say you are a startup which has just launched a **$1 Mn seed-ex round** and applied for the 8vdX seedex booster. After evaluating your startup, 8vdX gives a commitment of $250k representing 25% of the total seed-ex round. \n* **We will disburse the $250k** along with the $750k equity investment from other investors. _If you raise $750k in multiple tranches, we can make pro-rata disbursements_.\n* Maturity of up to 18 months or Series A closing, whichever is earlier\n\n_Assuming, the following terms have been negotiated and agreed upon by both parties:_\n\n* Interest cost: \n * cash interest of 1% per month ($2.5k) that you pay each month and\n * bonus SAFE of 5% i.e. ($125k) with the same valuation cap as the seed extension investors. \n\n_8vdX allows for flexibility in selecting a combination of cash interest and bonus SAFE._\n\n* Repayment schedule: The seedex booster will be repaid with the Series A funding. However, founders have the option to create an amortization schedule to prepay the loan or extend it upon maturity.\n\nOverall terms are founder-friendly terms as there is **no prepayment penalty, no collateral, no personal guarantees & no enforcement action.**\n\n**Please apply at** [**8vdx.com**](http://8vdx.com) **or email us at** [**zeronote@8vdx.com**](mailto:zeronote@8vdx.com)\n\n**Our aim is to help you achieve your maximum potential and successfully raise Series A funds.** How do we know this approach works? We have firsthand experience using it to drive growth and secure successful fundraises for startups. In fact, our own business model was developed through observing startups leverage our capital to accelerate their growth and secure successful fundraises.\n\nWe are thrilled to have already partnered with over 20 YC startups and look forward to supporting you as well. Join us in driving this innovative approach to fundraising!\n\n**Interested startups, please visit our digital** [**platform**](https://8vdx.com/) **to learn more and apply.** The entire process is simple, transparent, fast, and completely digitized. If you have any questions, please feel free to email us and we will be more than happy to set up a call.\n\nThanks,\n\nTeam 8vdX", "url": "https://www.ycombinator.com/launches/Hqr-8vdx-extend-your-seed-extension-with-a-seedex-booster-of-up-to-1m", "votes": 15, "created_at": "2023-01-23T16:24:03.035Z" }, { "id": 66668, "title": "Fundraising CRM for early stage startups from 8vdX", "tagline": "Enabling startups to fuel their growth through our fundraising stack and alternative sources of capital", "body": "Hi guys! **We are so excited to share our new fundraising CRM!** This is a product that is something we desperately needed, so we built it to help not only us, but the larger startup community. 🥰\n\n**The Problem:** \n\nAs we all know, fundraising can be overwhelming **😩** and hard to keep track of:\n\n* Leads can be hard to organize and schedule. \n* Following up with everyone who contacts us can be difficult!\n* Research on the caliber and reputation of VCs can be hard to gauge. Do they have a history of investing in companies like us? What are their normal check sizes? 🧐 Who is in their existing portfolio?\n\n![My Dumpster Fire Is Filled To The Brim Sarah Wayne Callies GIF - My Dumpster Fire Is Filled To The Brim Sarah Wayne Callies Robin Perry GIFs](https://media.tenor.com/lMrxlxggxXMAAAAC/my-dumpster-fire-is-filled-to-the-brim-sarah-wayne-callies.gif)\n\nWe could go on, but you get it– we’ve lived it, after all. \n\n**The Solution 😃:**\n\nOur new fundraising CRM makes organizing your raise easy by:\n\n* Keeping track of your leads, including follow ups and replies. \n* Making it easy to upload your leads and track them from initial contact to close in a single place\n * This is particularly useful for anyone who is still fundraising from the S22 batch!\n* Targeting investors with high conversion rates and larger check sizes 🤑\n* Providing a clear snapshot of where you are in your goals with our dashboard. 🥳\n\n![uploaded image](/media/?type=post&id=66668&key=user_uploads/763615/2e7f70ea-bd3f-4ae2-b052-3b4331a3af10)\n\n**We just launched and would love any and all feedback on this!** Your time is valuable, so the **first 20 startups** able to get on a zoom call with us will get a **$100 gift card to Amazon.**\n\nMuch love,\n\nThe 8vdX fam❤️", "url": "https://www.ycombinator.com/launches/HLI-fundraising-crm-for-early-stage-startups-from-8vdx", "votes": 46, "created_at": "2022-10-12T17:04:14.257Z" } ] }, { "id": 25353, "name": "Sarus", "slug": "sarus", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/eeaf8f8226d85960b7834ae51a48adfa24515b3b.png", "website": "https://www.sarus.tech", "all_locations": "Paris, Île-de-France, France", "long_description": "Sarus solves the problem of accessing or sharing personal data for analytics or machine learning. \r\nThe solution deploys natively in data infrastructures and lets practitioners work on data they cannot see. Every interaction with the sensitive data is protected with the highest privacy standard: differential privacy\r\nSarus makes traditional anonymization methods irrelevant, saving months in compliance and data engineering while preserving all of the value of data.", "one_liner": "Use personal data for analytics and ML, safely and seamlessly", "team_size": 16, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1642494204, "tags": [ "Analytics", "Compliance", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "France", "Europe", "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/sarus", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/sarus.json", "year_founded": 2020, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/sarus-technologies", "x_url": "https://twitter.com/sarus_tech?lang=en", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/sarus-1f2d", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/eeaf8f8226d85960b7834ae51a48adfa24515b3b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 811762, "full_name": "Maxime Agostini", "title": "Founder", "founder_bio": "Maxime Agostini is Sarus cofounder and CEO. He previously cofounded AlephD a ML startup solving publishers monetization challenges. As CEO, he grew the business internationally and led the company up to a successful exit to Verizon Media in 2016. \nMaxime graduated from Ecole Polytechnique in computer science and physics. 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With just a few clicks, users can launch complex workflows with terabytes of data or perform interactive analyses **for insight**.\n\n![uploaded image](/media/?type=post&id=64256&key=user_uploads/804217/7c6333ef-d6c5-4ed1-b9ae-9349fb805bf7)\n\nBy eliminating the need to set up and maintain **high-end, R&D cloud infrastructure** and associated technology stack, we enable you to focus on your task and business at hand.\n\nWe **orchestrate cloud resources** for your bioinformatics needs while you retain ownership and are in full control of your costs.\n\n## 🗣️ **WHAT CUSTOMERS SAY ABOUT HYPAHUB**\n\nDiego Rey (Endpoint): HypaHub is hands down the best tool in our R&D cloud. It has helped us **accelerate our scientific discovery** beyond our imagination.\n\nPaul Tang (Accuragen): HypaHub helps us automate our workflows and **perform complex analysis effortlessly**. 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I like data, software, and AI. Based in NYC!", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/tom-firth-cfa-7963977b/", "x_url": "https://twitter.com/tdfirth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4283724de19c9279d4f611349d80377ab51e394f.jpg" } ], "jobs": [ { "id": 71403, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/cotera/jobs/ttnEZFk-software-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K", "equity_range": "0.20% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "PostgreSQL", "React", "TypeScript" ] }, { "id": 95905, "title": "Future Founder - Growth", "url": "https://www.ycombinator.com/companies/cotera/jobs/G0KUSN9-future-founder-growth", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$125 - $170", "equity_range": "0.10% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 95907, "title": "Future Founder - Engineering", "url": "https://www.ycombinator.com/companies/cotera/jobs/PBRc5J6-future-founder-engineering", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$125 - $175", "equity_range": "2.00%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "TypeScript" ] }, { "id": 96146, "title": "Forward Deployed Engineer - Artificial Intelligence", "url": "https://www.ycombinator.com/companies/cotera/jobs/FPIIOXR-forward-deployed-engineer-artificial-intelligence", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$120 - $145", "equity_range": "0.10% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [ "TypeScript", "AI Agents" ] } ], "news": [], "launches": [ { "id": 96147, "title": "Cotera: the fastest way to build an AI agent.", "tagline": "Meet Cotera, the platform where anyone can build an AI agent in 5 minutes.", "body": "## Launching datasets and general availability\n\nCotera is the easiest way to build AI agents that can talk to all of your data and integrate with any of your other tools.\n\nWe are now generally available and just launched our datasets feature. No waitlist, and you don’t even need a credit card to get started.\\\n\\\nDatasets let you run AI agents that can work on top of all of your company’s data. It works for everything from a small CSV of leads all the way up to tables with millions of customer conversations.\n\n![uploaded image](/media/?type=post&id=96147&key=user_uploads/535991/17d5320e-7c61-4ca5-b98d-a5e21d2c0373)\n\n## Who is it for?\n\nCotera is perfect for go-to-market and ops style teams that want to use AI to automate all of their busy work.\n\nIt makes building reliable agents as simple as writing a document, and you don't need to write any code at all.\n\n## What can I build\n\nThe sky is the limit, as they say, but here are some good examples:\n\n\\- A chatbot to analyze all of your support tickets and take action on them.\n\n\\- Automated outbound campaigns that take action in your CRM.\n\n\\- Build an agent to do deep research on competitors across LinkedIn, Reddit, social media, etc.\n\n## Who is using it?\n\nSome of our better-known customers are Bilt, Peloton, Skims, Omni, OpenSea, Coterie, and Shippo.\n\nWe work with plenty of smaller teams too.\n\n## Take it for a spin!\n\nHead over to our landing page and sign up for a free trial.\\\n\\\nhttps://cotera.co", "url": "https://www.ycombinator.com/launches/P0l-cotera-the-fastest-way-to-build-an-ai-agent", "votes": 13, "created_at": "2025-12-11T18:23:04.304Z" }, { "id": 95268, "title": "Cotera: The easiest way to put reliable AI agents into production", "tagline": "Build in chat. Connect to hundreds of tools. Set real budgets. No surprises.", "body": "Cotera is building the easiest way to put reliable AI agents into production.\n\nMost AI agent platforms force teams to choose: either deal with complex frameworks that require months of engineering work, or use simple no-code tools that give you zero visibility and control.\n\nCotera eliminates this trade-off.\n\nIn one place you can define all your context, access all of your data, connect to all of your apps and APIs, create guard rails, monitor agents in production, and manage how much they're spending.\n\nThe best bit is that it's all incredibly easy. All your important context lives in the heads of your domain experts, so we've made building an agent as simple as writing a document and having a conversation.\n\nFor some time we've been working with great teams like Bilt, Coterie and Peloton to automate customer support, generate marketing assets, automate sales follow ups, and run back office processes. Finally, we're ready to open this powerful platform to the public.\n\nIt's invite only for now so sign up and we'll reach out once there's space!\n\nCan't wait to see what you build.\\\n\\\nhttps://cotera.co/news/launch\n\n![uploaded image](/media/?type=post&id=95268&key=user_uploads/535991/e04a28ae-d3ab-436c-960a-48dab7a63e57)\n\n", "url": "https://www.ycombinator.com/launches/Oma-cotera-the-easiest-way-to-put-reliable-ai-agents-into-production", "votes": 10, "created_at": "2025-11-06T19:12:16.317Z" } ] }, { "id": 25692, "name": "Livedocs", "slug": "livedocs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce0c55378b1978172dcaae2ec40f66f80a955ff6.png", "website": "https://livedocs.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Mix Python, SQL, charts, and dynamic text in a fast, shareable, collaborative medium. Build and share data-rich docs and apps your team will love", "one_liner": "A New Kind of Notebook for Data Storytelling", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1645977565, "tags": [ "SaaS", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/livedocs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/livedocs.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "https://twitter.com/livedocshq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ce0c55378b1978172dcaae2ec40f66f80a955ff6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 95547, "full_name": "Arsalan Bashir", "title": "Founder", "founder_bio": "Founder of Livedocs (https://livedocs.com), engineer, love software, guerilla marketing (for the web), hiking, and Liverpool FC. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/arslnb", "x_url": "https://twitter.com/arsalanbashir", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca2a6ec5e78a3e5616a2524801deefe2a2d3b635.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 79581, "title": "Timefinder - The simplest way to send calendar invites across timezones", "tagline": "Just enter your timezones and find a time that works for everyone!", "body": "Check out [TimeFinder](https://timefinder.xyz) by team [Livedocs!](https://livedocs.com)\n\n![uploaded image](/media/?type=post&id=79581&key=user_uploads/95547/f52c44e1-e980-4913-84bb-df52e66403fd)\n\nBeing a remote team means we'd often send a calendar invite where somebody was dialing in in the wee hours of the morning or late at night. Timezones are complex! It's so easy to accidentally send a calendar invite for an awkward time.\n\n![uploaded image](/media/?type=post&id=79581&key=user_uploads/95547/3e95ebc2-b1e3-4009-bae2-61eb734c597a)\n\nDriven by our own experiences as a remote team at Livedocs (🇺🇸🇦🇪🇮🇳🇷🇴🇨🇦🇺🇦) and the desire to solve this universal problem, we crafted a simple yet powerful utility. Designed to streamline the scheduling process, our tool effortlessly finds a time that accommodates everyone, saving you from the headache and the hassle.\n\n![uploaded image](/media/?type=post&id=79581&key=user_uploads/95547/3ecb02b8-c38b-4c52-8913-420c19d254b6)\n\nNo sign up needed, just enter your timezones and find a time that works for everyone!", "url": "https://www.ycombinator.com/launches/KhZ-timefinder-the-simplest-way-to-send-calendar-invites-across-timezones", "votes": 9, "created_at": "2024-03-21T18:49:38.144Z" } ] }, { "id": 25738, "name": "Hydra", "slug": "hydra", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/87c0954c151aa7067e034d8de33b3174d43f5ff0.png", "website": "https://hydra.so", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Hydra is a real-time analytics database management system for Postgres. We seperate compute from storage to offer software engineers serverless analytics with autoscale, write isolation, automatic caching, and more.\r\n\r\nShipping scalable projects on time series and event data has never been easier. Hydra is available for local development, cloud, and bare metal deployment.", "one_liner": "Serverless Analytics on Postgres", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1642199733, "tags": [ "Developer Tools", "Analytics", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Acquired", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/hydra", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/hydra.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hydradatabase", "x_url": "https://twitter.com/hydradatabase", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/hydra-7681", "github_url": "https://github.com/HydrasDB", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/87c0954c151aa7067e034d8de33b3174d43f5ff0.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": 54309, "full_name": "Joseph Sciarrino", "title": "Founder", "founder_bio": "CEO, Hydra\nFormer PM @ MSFT Azure Open-Source Databases team.\nHeroku (W08) and Citus Data (S11) alum", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jsciarrino12/", "x_url": "https://twitter.com/JoeSciarrino", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4f798def8e78bebf37b918e014a9a4d933b47fc2.jpg" } ], "jobs": [], "news": [ { "title": "Microsoft backs open source PostgreSQL analytics extension • The Register", "url": "https://www.theregister.com/2024/08/20/postgresql_duckdb_extension/", "date": "Aug 20, 2024" }, { "title": "Hydra aims to be the open cloud data warehouse alternative to Snowflake – TechCrunch", "url": "https://techcrunch.com/2022/07/01/hydra-aims-to-be-the-open-cloud-data-warehouse-alternative-to-snowflake/", "date": "Jul 01, 2022" } ], "launches": [ { "id": 88443, "title": "Hydra: Serverless Realtime Analytics on Postgres", "tagline": "Unlock realtime analytics on live data in seconds", "body": "![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/fc2a33f3-1607-4213-bee9-7fb9693b0f5f)\n\n**Hydra is Serverless Realtime Analytics on Postgres.**\n\nBy separating compute from storage, Hydra enables compute-isolated analytics and bottomless storage. It is designed for low latency applications built on time series and event data.\n\n# [**Try Now! (free)**](https://start.hydra.so/get-started)\n\n\n\n# **Enable in seconds**\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/42f17c01-89e7-47ae-ba01-f76bc23c864e)\n\nSet up is simple. To unlock serverless realtime analytics on Postgres, run:\n\n```\npip install hydra-cli\n```\n\nFor setup\n\n```\nhydra\n```\n\n1. fetch your hydra token, paste in to enable Hydra\n2. create analytics schema / tables and insert data ([**quickstart docs**](https://docs.hydra.so/intro/quickstart))\n3. _voila_ - run queries, get insights in milliseconds\n\n# **Problem**\n\nFor decades, there’ve been two core problems with analytics on Postgres:\n\n**Slow** - aggregates and complex queries can take minutes to return results from large data sets.\n\n**Resource Contention** - Expensive analytics queries hog Postgres’ RAM / CPU resources and impair transactional performance. In other words, the entire app slows down, which makes users unhappy.\n\n# **Solution**\n\n### **Fast**\n\nHydra returns analytics queries 400X faster than standard Postgres. Hydra uses duckdb to perform isolated serverless processing on these tables in Postgres. In fact, Hydra is faster than most specialized analytics databases.\n\nIf you’re running AWS RDS, AWS Aurora, Heroku Postgres, Supabase, Fly Postgres, Render Postgres, GCP Cloud SQL, etc.. you can improve expensive analytics queries by 400X by using Hydra.\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/3fb7dc1e-622a-4303-ba7a-f729f18ab019)\n\nfun fact: the Snowflake instance (128x4XL) in the benchmark is $100k / month.\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/5db5d184-2a69-4811-b14e-5ad433f4038c)\n\nThese are results from clickbench which represents a typical workload in the following areas: clickstream and traffic analysis, web analytics, machine-generated data, structured logs, and events data. The table consists of exactly 99 997 497 records — rather small by modern standards but allows tests to be performed in a reasonable time.\n\n### **Isolated, serverless processing**\n\nUsing Hydra there is no impact on Postgres’ RAM / CPU resources when reading from or writing to an analytics tables.\n\nAs a result, here are more cool things Hydra can do: zero-copy clones for scaling read replicas, automatic caching, write isolation, bottomless storage with high data compression, and more.\n\n# **How it works**\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/8d8999aa-a370-4f0f-9d99-badfe4621c97)\n\nHydra integrates duckdb execution and features with Postgres using [**pg_duckdb**](https://github.com/duckdb/pg_duckdb), an open-source project we co-developed with the creators of DuckDB.\n\n**FAQ:**\n\nyes, you can join between an analytic table and a standard row-based table.\n\nyes, you can write (insert & update) to analytics tables.\n\nyes, Hydra is identical to using standard postgres.\n\nyes, data inserted into an analytics table is automatically converted into analytics-optimized columnar format.\n\ntell Hydra you are creating an analytics table by including the ‘using duckdb’ keyword - that’s it.\n\n# **Hydra is best for**\n\nHydra is both a row and columnstore, so you can use it for standard Postgres work, like multitenant apps, as well as analytical work, like monthly reporting. Here are several cool Hydra use cases that blend both transactional & analytics — more in our [**use case docs**](https://docs.hydra.so/guides/usecase).\n\n* time series, logs, events, traces\n* monitoring & telemetry\n* financial services\n* observability & metrics\n* cybersecurity & fraud detection\n* web & product analytics\n* iot\n* realtime ml / ai\n\n# **ok, but why use postgres instead of … \\[insert favorite tech\\]?**\n\nIt’s true, there are many specialized analytics databases. reviewing the benchmark above, the majority of analytics databases are actually _slower_ than Hydra. Regardless, isolated analytics databases produce their own set of challenges and costs.\n\n### **data pipelines (etl)**\n\nTraditionally, an analytics database is isolated, and in most cases, engineers must set up data pipelines for data movement and transformation between Postgres, S3, and the analytics db. Pipelines aren’t cheap. Also, there’s pipeline latency bottlenecking how stale the analytics are. And when pipelines break — because they do — you’re stuck with downtime and wrong results.\n\nHydra side-steps the latency and costs of data pipelines entirely with full support for inserts and updates on columnar files in analytics tables.\n\n### **overweight design**\n\nMany use cases don’t justify a heavy setup. From our time working at Heroku, we saw many transactional apps that only need a couple high level aggregates and a few complex analytical queries to return quickly. Hardly OLAP (online analytical processing) and not really HTAP (hybrid transactional and analytical processing) - just apps in need of a speed boost.\n\nThe most heavyweight option, data warehouses like BigQuery, are good at “big queries”, but not great at smaller, rapid analytics queries that’re more common with applications, rather than monthly reporting.\n\nThese traditional approaches are too heavy, can be brittle, and introduce extra costs and latency your startup doesn’t need.\n\n# **do we have a hosted cloud offering?**\n\nYes, and [it’s awesome](https://start.hydra.so/get-started).\n\n# [**Try now!**](https://start.hydra.so/get-started)\n\n## **useful links**\n\n[**website**](https://www.hydra.so/), [**docs**](https://docs.hydra.so/overview), [**local dev guide**](https://docs.hydra.so/guides/local_development), [**analytics guide**](https://docs.hydra.so/guides/analytics), [**architecture**](https://docs.hydra.so/intro/architecture), [**changelog**](https://docs.hydra.so/changelog/changelog)\n\nIf you’ve made it this far here’s a pic of me (joe) and my cofounder (jd) in hood river, oregon. Building Hydra has been a wild ride, but we found a way to have fun.\n\n![uploaded image](/media/?type=post&id=88443&key=user_uploads/54309/69da46c2-bfc2-48c6-8ed3-2364e71c34fd)\n\n", "url": "https://www.ycombinator.com/launches/N0V-hydra-serverless-realtime-analytics-on-postgres", "votes": 8, "created_at": "2025-03-11T12:27:09.916Z" } ] }, { "id": 25743, "name": "Trackingplan", "slug": "trackingplan", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b1ef39c22b700cf5d44570c7f6569b245f3ee28.png", "website": "https://trackingplan.com", "all_locations": "Barcelona, CT, Spain; CT, Spain; Remote", "long_description": "Trackingplan automatically discovers and monitors all the information your applications and websites are collecting, ensuring that you can trust your BI, analytics, marketing, and sales tools. \r\n\r\nYou can think of us as Segment Protocols but totally transparent, where developers can keep using Google Analytics, Amplitude, Hubspot, Intercom, Braze, etc. as they are used to. \r\n\r\nInstalled in minutes in using your Tag Manager or adding just one line of code to your web or apps, we model all the data being sent to third parties. Since Trackingplan understands what each piece of data means, it identifies patterns, detects anomalies, and automatically connects the dots to create value from data that was hidden in plain sight:\r\n\r\n- An always up-to-date single source of truth and data governance tool. To discover, understand and document your data and improve communication across teams.\r\n- Automated notifications when something breaks or changes. To make sure that integrations are always well implemented: Schema errors, traffic anomalies, rogue events... \r\n- Easy to understand, customizable, cross-service alerts. To detect trends, insights, and problems without using complex, engineer-oriented solutions.", "one_liner": "Automated QA for your Digital Analytics", "team_size": 17, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1641391102, "tags": [ "SaaS", "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Spain", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/trackingplan", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/trackingplan.json", "year_founded": 2021, "city": "Barcelona", "country": "ES", "linkedin_url": "https://www.linkedin.com/company/trackingplan", "x_url": "https://twitter.com/trackingplanco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b1ef39c22b700cf5d44570c7f6569b245f3ee28.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/56/1648680083402-jep797sxatg-2d1ddc90e418837f7f8693cca0a48cbb/c5d555b43777814dc8674bbdcbb3ea82.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022704Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=be5961ecaaa66b80943a2f5a7fe30a22680ed44de7f0be2c75537f5f56f6997d", "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 644571, "full_name": "Alexandros Andre Chaaraoui", "title": "Founder", "founder_bio": "I'm a Software Engineer and I love to apply AI in the industry. After obtaining a PhD in Machine Learning, I joined Google to work on Computer Vision for Android and NLP for the Google Assistant, where I owned the Weather vertical. I left to start and lead a ML Team at the 90-year old Rohde&Schwarz. There we patented and launched metrics for Data Analytics based on Deep Learning. As a founder at Trackingplan, I'm managing the technical department and people coordination.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alexandrosandre/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2cfd581f2f7472b0f6cce73648bb9d1a095a0326.jpg" }, { "user_id": 655112, "full_name": "Jose Padilla", "title": "Founder", "founder_bio": "Hi there! Trackingplan co-founder here. Our team joined because we had the need to do something. We had suffered a well-known problem: bad data. Relying on bad data to take business decisions is a pain in the ass. As we are enthusiasts in software, artificial intelligence and business, we had to do something about it. Trackingplan was born. I've built many kinds of software before, from desktop apps to home automation systems. So I'm excited about building Trackingplan and kill -9 bad_data", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joserpadilla", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57958584b59af24275e076f412224702cb4d52f0.jpg" }, { "user_id": 1977, "full_name": "Jose Luis Perez", "title": "Founder", "founder_bio": "I'm born and I live in Spain. I love creating products that matter, dogs and soccer.\nI studied CS and founded three tech companies, where I took the role of CEO and product lead, but I try to code when my smarter fellows don't see me. \nAt Guiomatic, we sold millions of custom travel guides to airlines\nAt Hooks, we sent billions of notifications to millions of users. \nAt Techstars we learned a lot.\nNow at Trackingplan, we help companies trust their data.", "is_active": true, "linkedin_url": "https://linkedin.com/joseluisperezgonzalez", "x_url": "https://twitter.com/joseleperez", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e4eb6db66a485252ca4e05bffc788ca1fe74042c.jpg" }, { "user_id": 911464, "full_name": "Pedro Trujillano", "title": "Founder", "founder_bio": "Business and technical oriented.\nWorked in development, product, operations and sales. 3x founder and VC.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/pedrotrujillano/", "x_url": "https://twitter.com/ptrujillano", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/15c5f1e78ecdb733b04a1750f397913e7b11bf0e.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25866, "name": "Ponyrun", "slug": "ponyrun", "former_names": [ "Asparagus", "Nimbus" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a6aa11f944dc1a5cb37880b3a981988db91d193.png", "website": "http://www.ponyrun.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Ponyrun evaluates people for you. We help you answer questions like: Should you sell to them? Are they a good fit for your product? Should you interview them? \r\n\r\nIts easy to use. Give it a search URL or a list of people. Tell Ponyrun what you want to evaluate the person on. And Ponyrun will go through the person's information (e.g. LinkedIn), and evaluate them.", "one_liner": "Automate prospect research at scale", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1644859951, "tags": [ "Analytics", "Sales", "Operations", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ponyrun", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/ponyrun.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ponyrun-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4a6aa11f944dc1a5cb37880b3a981988db91d193.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 98074, "full_name": "LIUSHA HUANG", "title": "Founder", "founder_bio": "", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/liushh/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d03e688e5cfd028f96b367cc463f1495cc7c76c.jpg" }, { "user_id": 233073, "full_name": "Neil Chen", "title": "Founder", "founder_bio": "Born and raised in the Northern China. Now building and growing Nimbus remotely in U.S..\n\nPrior to Nimbus, Neil supported a full-stack engineering team in TikTok, building and growing TikTok Creator Marketplace, the market-leading creator monetization platform. Before that, Neil had been a Software Engineer and Tech Lead in various teams in Facebook/Meta for 6 years.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/xiaotaochen", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d93a1a934ac5881de29e80bcd0e0d8a2919fd3cd.jpg" }, { "user_id": 853354, "full_name": "Nish Ithayakumar", "title": "Founder", "founder_bio": "Born in Sri Lanka. Grew up in Vancouver. Now building Nimbus in San Francisco. \n\nPrior to Nimbus, Nish led growth strategy at Unity, led BizOps teams, and consulted in Strategy/Operations in Canada and USA. Now Nish is focused on bringing the way big tech builds software to everyone else.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/nithayakumar/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b7cb74328160df169a7edc21f30fd0aa8c1827da.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25870, "name": "Top Road", "slug": "top-road", "former_names": [ "RE-MINT", "re-mint", "Top Road", "GPT Builder Tools by Top Road" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/50c64eee4fb328983954a1afb2acfcbb3e366dc6.png", "website": "https://toproad.ai", "all_locations": "Sydney, NSW, Australia", "long_description": "Top Road provides no-code analytics & payment tools so creators can monetise their AI apps (\"GPTs\") in the OpenAI ecosystem. ", "one_liner": "Payments & analytics for apps in the OpenAI GPT Store", "team_size": 2, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1644389361, "tags": [ "Fintech", "Generative AI", "Payments", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "Australia", "Oceania", "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/top-road", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/top-road.json", "year_founded": 2024, "city": "Sydney", "country": "AU", "linkedin_url": "https://linkedin.com/company/top-road-gpt-tools", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/50c64eee4fb328983954a1afb2acfcbb3e366dc6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 663707, "full_name": "Jeevika Makani", "title": "Founder", "founder_bio": "Jeevika is the co-founder & CEO of Top Road. Prior to being a founder, she worked at various early stage tech startups including Fat Llama (P2P rental marketplace, YC S17) and Lendable (emerging markets fintech). Jeevika studied economics at the University of Melbourne, and has an INSEAD MBA. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jeevikamakani/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9170bf2a8f79b26c56e16f4a8417fd29aa209690.jpg" }, { "user_id": 599002, "full_name": "Celilsemi Sam Erkiner", "title": "Founder", "founder_bio": "I'm a software engineer, full stack but heavy on the front. I love cross-platform solutions, so JS is my fav. Usually Node on the backend, Angular on the frontend. I've worked on 50+ web/mobile/smartwatch apps. I have some open source contributions, mostly on Ionic. If you need help designing a web/hybrid application architecture, ping me! If I'm being slow to respond, I'm busy trying to exploring AI to automate things. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cerkiner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/09119b07477f5f5f062ff56cd7404973dae45c90.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 25975, "name": "Ploomber", "slug": "ploomber", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5abaea13a47b9e7cb04c8d183b6a2056824f626.png", "website": "https://ploomber.io/", "all_locations": "New York City, NY, USA; New York, NY, USA; Remote", "long_description": "We are building a cloud platform to help companies deploy and scale AI applications.", "one_liner": "Heroku for AI", "team_size": 7, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1643229196, "tags": [ "Developer Tools", "Machine Learning", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ploomber", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/ploomber.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ploomber", "x_url": "https://twitter.com/ploomber", "fb_url": "https://www.youtube.com/channel/UCaIS5BMlmeNQE4-Gn0xTDXQ", "cb_url": "https://www.crunchbase.com/organization/ploomber", "github_url": "https://github.com/ploomber", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5abaea13a47b9e7cb04c8d183b6a2056824f626.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 564961, "full_name": "Eduardo Blancas", "title": "Founder", "founder_bio": "Eduardo Blancas is the co-founder and CEO of Ploomber, a technology company developing the most data scientist-friendly tooling on the planet. Originally from Mexico, Eduardo moved to the US in 2015 and spent some time in Chicago, New York, and Boston. Eduardo studied at Columbia University and Tec de Monterrey.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/edublancas", "x_url": "https://twitter.com/edublancas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d3de165ec32594a2ea0952f5edee76a60a86bab.jpg" }, { "user_id": 506869, "full_name": "Ido Michael", "title": "Founder", "founder_bio": "Ido is a founded Ploomber to help data scientists build faster. He'd been working at AWS leading data engineering/science teams. Single handedly he built 100’s of data pipelines during those customer engagements together with his team. Originally from Israel, he came to NY for his MS at Columbia University. He decided to build Ploomber since he constantly found that projects dedicated about 30% of their time just to refactor the dev work (prototype) into a production pipeline. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ido-michael", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62ff2c180ec1d3a578b30edc6d9241f1f5551fa9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78826, "title": "Ploomber: Heroku for AI", "tagline": "A platform to deploy AI and data applications quickly", "body": "**tl;dr; **[**Ploomber**](https://www.platform.ploomber.io/register)** is a cloud platform that quickly deploys container-based AI and data applications (Streamlit, Shiny, Panel, Flask, FastAPI, etc.)**\\\n—\n\nHey all! We're [Eduardo](https://www.linkedin.com/in/edublancas) and [Ido](https://www.linkedin.com/in/ido-michael) from Ploomber, and we're excited to launch our cloud platform!\n\n**Problem**\n\nWith the rise of AI and data, many companies are deploying applications whose requirements differ from typical web applications. The most common differences are larger computational resources and libraries that many PaaS platforms do not allow to install (case in point: one of our customers migrated to our platform after several failed attempts to install a C++ library required for their Python app to run). These restrictions hinder the ability of many companies to ship complex AI and data applications.\n\n**Our Solution**\n\nOur container-based platform provides greater flexibility when deploying applications: you can quickly provision more resources and install anything your app requires to run.\n\nWe provide official support for frameworks like Streamlit, Shiny, Panel, Flask, and FastAPI, but you can use any framework you want.\n\nWe also provide a feature that stops your application automatically if it doesn't receive traffic and starts it again on an incoming request; this offers significant savings for many of our customers who deploy low-traffic applications.\n\n**How it works**\n\n![uploaded image](/media/?type=post&id=78826&key=user_uploads/564961/8070baa6-6dc5-468e-8041-cb35cf860f53)\n\nYou can deploy applications with the UI or via the command-line interface (you can also use the CLI to deploy on each commit to your git repository).\n\n**Live examples**\n\n![uploaded image](/media/?type=post&id=78826&key=user_uploads/564961/50219f4a-395d-4d0d-98cb-4e123ad50efa)\n\n[Arxiv Chat:](https://summer-wind-5194.ploomberapp.io/) a chatbot that allows you to search, ask questions, and download papers from Arxiv. \n\n[Analytical dashboard](https://broad-fire-8217.ploomberapp.io) built with Panel.\n\n[Flask app](https://wild-bonus-9050.ploomberapp.io/) with user authentication and API key management.\n\n**Try it out!**\n\n[Create an account](https://www.platform.ploomber.io/register) and check our [documentation](https://docs.cloud.ploomber.io/en/latest/intro.html) to get started!\n\n**We can help you migrate!**\n\nIf you already deployed an application, we can help you migrate at no cost! Please email us at [contact@ploomber.io](mailto:contact@ploomber.io)! We also have discounts for the YC community, so contact us!", "url": "https://www.ycombinator.com/launches/KVO-ploomber-heroku-for-ai", "votes": 10, "created_at": "2024-02-27T20:05:32.375Z" } ] }, { "id": 26564, "name": "Banabo", "slug": "banabo", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee52d2153d301e6600298886dbb3fb58bf58c419.png", "website": "https://www.banabo.io/", "all_locations": "Singapore, Singapore; San Francisco, CA, USA", "long_description": "Banabo is the first Marketing Attribution OS with the mission of getting a company’s marketing waste to zero. We help companies achieve this goal by mapping a website visitor’s entire journey through a sale, and showcasing the true impact of each touchpoint. \r\n\r\nAccurate attribution previously wasn’t possible due to GDPR in the EU, CCPA in California, and the iOS 14 Privacy Changes. And with Google banning tracking cookies in 2023, we’ve built the first fully cookieless marketing attribution solution, using zero personal data. ", "one_liner": "ML Marketing Infrastructure", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1656624588, "tags": [ "SaaS", "B2B", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "Singapore", "United States of America", "Southeast Asia", "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/banabo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/banabo.json", "year_founded": 2022, "city": "Singapore", "country": "SG", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ee52d2153d301e6600298886dbb3fb58bf58c419.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 677032, "full_name": "Colin Snyder", "title": "Founder", "founder_bio": "Co-Founder @ Banabo, the first fully cookieless marketing attribution platform.\nFeel free to say hi", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/colin7snyder/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/836f88b4f9c62ed7f7ec1204ad7db4ad24a029fb.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 26663, "name": "Denormalized", "slug": "denormalized", "former_names": [ "Probably Nothing Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b63e1460304048d366b7e3939ef213373a7766f2.png", "website": "https://www.denormalized.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Denormalized is a serverless real-time data platform that allows users to query data quickly while eliminating the need to manage complex infrastructure. It enhances developer productivity by automating schema inference from sample data and simplifying data stream creation allowing engineers to go from idea to production fast. Denormalized supports SQL for data transformations without needing complex stream processing systems like Flink.", "one_liner": "serverless platform for real-time data", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1658936956, "tags": [ "Analytics", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "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/denormalized", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/denormalized.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/probably-nothing-labs", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b63e1460304048d366b7e3939ef213373a7766f2.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 698248, "full_name": "Amey Chaugule", "title": "Founder", "founder_bio": "Spent 10+ years working at the intersection of ML & Data Infra.\n\nWorking on Uber's Marketplace Dynamics 2016-2020 was an honour of a lifetime. I can nerd out about pricing algorithms and marketplace optimizations till kingdom come.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ameychaugule/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/54b9fb4c7224819d06fcba138730d3e1a8c7da88.jpg" }, { "user_id": 9674, "full_name": "Matt Green", "title": "Founder", "founder_bio": "Data things.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/mgreen9", "x_url": "https://twitter.com/IAmMattGreen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fa894df0a424af40b0b1ffd5873da1acccb76b08.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64973, "title": "Probably Nothing Labs - Databricks for Web3", "tagline": "Real-time Indexer-as-a-Service to help Web3 teams power data backends for their apps in days", "body": "**🤔 The Problem**\n\nIndexing public blockchains is a major pain!\n\nEngineers need to build resilient poll loops around chain specific validators that request, parse, and track raw blocks, transactions and event logs as they arrive. This work requires in-depth knowledge of specific protocols, smart contract ABIs, and stateful stream processing (not to mention handling chain re-org or tracking the mempool). All of this work just to build a backend for your Uniswap position tracking dashboard or that Instagram for NFTs app.\n\nNevermind having to build systems to monitor individual positions for collateral drops in DeFi lending protocols. \n\n**🤌 Our Solution**\n\nWe built **Gigabrain**, a best-in-class blockchain indexer with support for Ethereum and Solana. Using advanced stateful streaming techniques, Gigabrain is able to parse, index, and store transactions within seconds of blocks being confirmed. In addition, we’ve created a versioned registry of all smart contracts on Ethereum as well its L2s.\n\nWith Gigabrain you can —\n\n* Run **complex stateful aggregations** for **on-chain events** as soon as - or before - they show up on the blockchain.\n* Never have to worry about keeping track of contract specific ABIs with our **Smart Contract Registry**.\n* **Run live SQL** against the **Ethereum mempool** (we use a globally distributed set of nodes that we manage ourselves).\n* Run **large scale analytics** against our datalake as well as **power robust data backends** for your own Web3 apps.\n\n[🎬](https://emojipedia.org/clapper-board/) **The Demo**\n\nCheck out our [short demo on Loom](https://www.loom.com/share/d4784d7e2a9f4503bd2beab5e070e840).\n\n**📞 Our Ask**\n\nIf you or anyone else in your network -\n\n* Need to work with on-chain data at scale or in real-time\n* Parse a wide array of smart contract specific on-chain events\n* Have the need to build sophisticated on-chain monitoring solutions for DeFi protocols or NFT Marketplaces\n\nPlease get in touch with us!\n\n**Amey**: [amey@probablynothinglabs.xyz](mailto:amey@probablynothinglabs.xyz) , **Telegram**: @ambrood, **Discord**: ambrood#9366\n\n**Matt**: [matt@probablynothinglabs.xyz](mailto:matt@probablynothinglabs.xyz), **Telegram**: @mgreenn, **Discord**: mattt#2076", "url": "https://www.ycombinator.com/launches/Gtx-probably-nothing-labs-databricks-for-web3", "votes": 18, "created_at": "2022-07-28T14:40:55.685Z" } ] }, { "id": 26719, "name": "Alterya", "slug": "alterya", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f7e22aa96dc1d6baabade2bc3dad88a3cdc9bb8.png", "website": "https://www.alterya.dev/", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Alterya helps financial institutions, fintechs, and crypto service providers prevent APP fraud by detecting scams targeting their users and exploiting their platform.", "one_liner": "Protecting Humans from Scams", "team_size": 30, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1654343424, "tags": [ "Fintech", "SaaS", "Crypto / Web3", "Analytics", "API" ], "tags_highlighted": [ "Crypto / Web3" ], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Acquired", "industries": [ "Fintech" ], "regions": [ "Israel", "Middle East and North Africa", "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/alterya", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/alterya.json", "year_founded": 2022, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/alterya/", "x_url": "https://x.com/AlteryaIO", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f7e22aa96dc1d6baabade2bc3dad88a3cdc9bb8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 646526, "full_name": "Elad Fouks", "title": "Founder", "founder_bio": "Cyber security group leader in 8200 unit. \nManaged cross-functional teams across R&D and intelligence personnel. \nA former senior officer in the special ops. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/elad-fouks-478a95110/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/50bd55cb78ac86812b7508a8f946b7936f9a2484.jpg" }, { "user_id": 1017622, "full_name": "Shahaf Gonen", "title": "Founder", "founder_bio": "Graduated from the Talipot Elite Program.\nLed a cybersecurity team in the 8200 unit, collaborating with R&D and intelligence teams.\nFormer Google employee.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shahaf-gonen-640998108/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/35d6415e90dbfc9ccb0bf0d85374d124d94ddc63.jpg" } ], "jobs": [], "news": [ { "title": "Blockchain Giant Chainalysis Acquires AI-Agent Startup Alterya - Business Insider", "url": "https://www.businessinsider.com/ai-agent-startup-alterya-acquired-by-chainalysis-2025-1", "date": "Jan 13, 2025" } ], "launches": [] }, { "id": 26726, "name": "ilumadata", "slug": "ilumadata", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/66d4cb68e2a9b002d6e82fe002cef40a30254971.png", "website": "https://www.ilumadata.io/", "all_locations": "London, England, United Kingdom; Sydney, NSW, Australia; Remote", "long_description": "We’re retool for data pipelines. We allow less-technical people to edit data pipelines, with easy to use tools.", "one_liner": "Confidently ship analytics code faster with fewer errors", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1657474709, "tags": [ "Developer Tools", "B2B", "Analytics", "Enterprise", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Australia", "Europe", "Oceania", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/ilumadata", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/ilumadata.json", "year_founded": 2022, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/ilumadata", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/66d4cb68e2a9b002d6e82fe002cef40a30254971.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1006154, "full_name": "Luke Singham", "title": "Founder", "founder_bio": "Formerly, Data Platform Engineer and data lead at Monzo, previously at Palantir working across the commercial and government sectors. Over 10 years in the data industry.", "is_active": false, "linkedin_url": "http://linkedin.com/in/lukesingham", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5aeccb33236c162e1e0eed45e0a9601c3e75e914.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 64710, "title": "ilumadata - Confidently ship analytics code faster with less errors", "tagline": "ilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with fewer errors", "body": "Hey YC,\n\nWe’re [Luke Singham](https://www.linkedin.com/in/lukesingham/) and [Matt Sutton](https://www.linkedin.com/in/matthew-sutton-02290984/), co-founders of [ilumadata](http://ilumadata.io).\n\nilumadata helps data teams make changes faster, with confidence. Catch mistakes before shipping. And when debugging, pinpoint the source of failures–fast.\n\n## 🤓 Who is it for?\n\nData teams in large organisations feeling the pain of scaling data teams: struggling with broken pipelines, or taking too long to make changes.\n\n## ❓The ask + can I try it?\n\nIf you fit this 👆category or know someone who does, we’d love to talk to you!\n\nEmail us at [founders@ilumadata.io](mailto:founders@ilumadata.io) or request a demo at [ilumadata.io](http://ilumadata.io)\n\n## 😩 The problem - why we built ilumadata\n\nAt Monzo, I experienced a growing number of pains as we scaled the data team:\n\n* Onboarding new team members took days to weeks\n* Debugging broken pipelines took hours to fix because information was hard to piece together\n* It was hard to know the impacts downstream of changes you made\n* Difficult to know who owns the data, who uses it or if it is even used at all\n\n## ✅ The solution\n\nilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with less errors:\n\n* Onboard new team members in under 60 seconds with a cloud hosted environment.\n* Learn, manage, version control, validate and test your pipeline in one workspace.\n\n ![uploaded image](https://www.ilumadata.io/img/demos/modify-pipeline.gif)\n\n* Mock out pipeline architecture like you would in a flow chart tool, with code you can use!\n\n ![uploaded image](/media/?type=post&id=64710&key=user_uploads/89898/8359ad36-b8a2-4985-9f4d-396a3b54062f)\n\n* Debug, optimise and resolve your pipelines issues, fast.\n\n ![uploaded image](/media/?type=post&id=64710&key=user_uploads/89898/29a51ad9-2ba1-4ee0-b44d-9377c600eeba)\n\n", "url": "https://www.ycombinator.com/launches/Gpi-ilumadata-confidently-ship-analytics-code-faster-with-less-errors", "votes": 24, "created_at": "2022-07-18T21:37:33.587Z" } ] }, { "id": 26780, "name": "Stellar", "slug": "stellar", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8637fd38a327a3ebbaa10c637c194c7c1aec16b.png", "website": "http://www.stellarapp.io", "all_locations": "San Francisco, CA, USA", "long_description": "A fool-proof goals platform using GPT to help teams write and track SMART goals at every level. Automates manual, redundant tasks that take time away from team’s high-impact contributions.\r\n", "one_liner": "AI-powered business goals", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1662916743, "tags": [ "SaaS", "B2B", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B" ], "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/stellar", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/stellar.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d8637fd38a327a3ebbaa10c637c194c7c1aec16b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 997645, "full_name": "Angela Dao", "title": "Founder", "founder_bio": "Angela is the co-founder and CEO of Stellar. Before Stellar, she was a Product Management leader with almost a decade of experience scaling high growth startups. As an early product manager at Affirm, she scaled its nascent consumer product to $2B in annual volume, launched the Affirm Marketplace, and grew their omnichannel vertical by 2x. She was also an early product manager at Earnin, a fintech unicorn, where she launched the mobile app to multiply WAUs and transform unit economics.", "is_active": false, "linkedin_url": "http://linkedin.com/in/angeladao", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d84dda4eae68872f400b861d5f72b928077cc420.jpg" }, { "user_id": 1053750, "full_name": "Elise Nguyen", "title": "Founder", "founder_bio": "Elise is the co-founder and CPO of Stellar. Before founding Stellar, she was a Product Design leader at LinkedIn where she grew and scaled the Career’s design team (Job seekers, Salary, Talent brand, and Equity team) for LinkedIn's $6B Talent Solutions business. She has also worked at Symphony, the Slack for bankers, where she launched the first mobile experience for financial bankers, enabling bankers to work from anywhere. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/elisetnguyen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f83a81c5d146fd4dae177bab8a695052d4ba9605.jpg" }, { "user_id": 1012066, "full_name": "Quan Zhou", "title": "Founder", "founder_bio": "Quan is the technical cofounder of Stellar and is passionate about technology that makes teams more effective and collaborative. Prior to Stellar, he was an early engineer at an HR unicorn Pave (S20) and built the technology stack from the ground up. Quan previously worked at Affirm (where he met Angela) and was on Bridgewater Trading technology team. He holds an engineering degree from Princeton. ", "is_active": false, "linkedin_url": "https://linkedin.com/in/quanzhou1", "x_url": null, "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ed058aa01e4420a5f959543568edcdaeb9ea7971.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 72653, "title": "Stellar 📈 - AI-powered OKRs", "tagline": "Turn your strategy into company-wide goals with AI", "body": "**TL;DR** - Implementing an OKR process that works for your team can feel impossible. [Stellar](https://www.stellarapp.io) drives alignment with an AI-powered OKR platform that simplifies writing and tracking goals.\n\nHi everyone - we’re Angela, Quan and Elise! Stellar is launching an AI product to tackle the biggest obstacles startups face when implementing OKRs.\n\n### **Problem**\n\n* **Writing cascading goals is hard -** after defining topline lagging metrics (revenue, churn, LTV, etc), each team member might not know how to write SMART goals that ladder up to them.\n* **Operational best practices are a mystery -** it’s hard to know where to start when creating a goal management process.\n* **A hero is required to drive accountability** - someone needs to step up to implement and enforce the process throughout the quarter, in addition to their full time job.\n\nIntroducing Stellar AI – a copilot for every employee that simplifies writing SMART, cascading goals and derisks them throughout the quarter.\n\n### **How it works**\n\nAnswer 4 simple questions and Stellar spins up a customized OKR workspace. An integrated experience uses GenAI to write your unique inspiring top-line goals and cascading domain-specific goals at all levels.\n\n![uploaded image](/media/?type=post&id=72653&key=user_uploads/997645/6097185e-9f26-4846-aaea-cdea8c355d6f)\n\nOnce goals are written, Stellar automates a recurring check-in process for your team throughout the quarter and year. These updates create an agenda for business reviews.\n\nStellar’s smart notification system drives accountability, resulting in an average of 85% of all goals being updated weekly. Additionally, If someone is stuck on a goal, Stellar AI recommends domain-specific next steps to help unblock them.\n\n![uploaded image](/media/?type=post&id=72653&key=user_uploads/997645/a2337bf7-ef1d-44d1-989d-d05a59590a07)\n\n### **Want to learn more?**\n\nBook [a demo](https://www.stellarapp.io) or reach out to [founders@stellarapp.io](mailto:founders@stellarapp.io), we’d love to show you what we’re building!\n\n![uploaded image](/media/?type=post&id=72653&key=user_uploads/997645/445e9f52-6e46-4c50-9096-0a099bb32ab2)\n\n", "url": "https://www.ycombinator.com/launches/Itp-stellar-ai-powered-okrs", "votes": 46, "created_at": "2023-06-29T17:35:17.450Z" }, { "id": 65966, "title": "Stellar - Don’t let your team’s OKRs slip in 2023! 📈🌟", "tagline": "A goal tracking platform that drives agile collaboration and accountability. ", "body": "👋 We’re [Angela](https://www.linkedin.com/in/angeladao/), [Elise](https://www.linkedin.com/in/elisetnguyen/) and [Quan](https://www.linkedin.com/in/quanzhou1/), the co-founders of [Stellar](https://www.stellarapp.io/)! We were early hires at multiple unicorns and saw OKRs both fail and succeed. The orgs that get it right are those that act quickly and adapt to new information consistently over time.\n\nStellar is a goal tracking platform focused on agile communication so your team has a fighting chance of hitting their OKRs.\n\n![uploaded image](/media/?type=post&id=65966&key=user_uploads/997645/a7331fc6-b81e-4306-90a5-15f1ff0d625f)\n\n### **The problem with OKRs**\n\nSetting business goals is easy, but iterative execution is hard.\n\nToo many companies set OKRs, forget them in an isolated document and then realize they haven’t made sufficient progress. When OKRs aren’t reassessed openly on a recurring basis, you miss the opportunity to motivate your team, collaborate and unblock progress together.\n\n![uploaded image](/media/?type=post&id=65966&key=user_uploads/997645/ed098364-c2e7-449f-9436-f637d0041fc2)\n\nThe designated responsible person (usually a founder or Chief of Staff) spends hours a week running this process, when they could be working on strategic work.\n\n### **Achieve your goals with confidence**\n\nIf you’re ready to embed OKRs and agile collaboration in your organization, Stellar will help you:\n\n1. Stay focused and organized by linking your goals in an OKR tree\n2. Raise and remove blockers quickly through effective, asynchronous check-ins\n3. Save time with scheduled notifications and automatic reminders about missing updates\n\n### **Interested?**\n\n**We’re offering 50% off for the next 20 companies!**\n\nIf you’d like a demo: grab time on our [Calendly](https://calendly.com/angdao/stellar-demo?month=2022-12) or reach out directly to [founders@stellarapp.io](mailto:founders@stellarapp.io)! We’re excited to learn more about your unique use case and help you crush your 2023 goals.\n\n### **Our Team:**\n\n![uploaded image](/media/?type=post&id=65966&key=user_uploads/997645/f5922eac-b00b-4274-9ce9-9e125fbf2136)\n\n**👐 Quan is our hands, building exceptional products:** founding software engineer at Pave (YC S20), tech lead at Affirm, and engineering degree from Princeton. \n\n**👁️ Angela is our eyes, looking toward the future:** early product manager at Affirm and Earnin. \n\n**👂 Elise is our ears, listening and designing for users:** product design leader at LinkedIn.\n\n\\- Angela, Elise & Quan", "url": "https://www.ycombinator.com/launches/H9y-stellar-don-t-let-your-team-s-okrs-slip-in-2023", "votes": 89, "created_at": "2022-09-09T23:59:31.166Z" } ] }, { "id": 26907, "name": "Rima AI (formerly Garage)", "slug": "rima-ai", "former_names": [ "Garage Mobility Inc.", "Garage Mobility", "Garage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/29768f3ec06f6ad6cbf8c250cca3501743daf869.png", "website": "https://www.getrima.ai", "all_locations": "Austin, TX, USA; Remote", "long_description": "Rima helps accountants automate document and spreadsheet work with accuracy and cell-level audit tracking.\r\n\r\nFor accountants that deal with messy docs and spend their time in Excel, Rima enables them to build workflows in natural language to extract and process financial data from PDFs or ERPs into their Excel templates and reconcile their spreadsheets in minutes. Accountants build these workflows once and our agents do the work for them going forward, preserving their institutional memory and know-how.", "one_liner": "Document and spreadsheet automation for accountants", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1657049263, "tags": [ "Finance", "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rima-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/rima-ai.json", "year_founded": 2021, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rimaai/", "x_url": "https://x.com/getrimaai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rima-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/29768f3ec06f6ad6cbf8c250cca3501743daf869.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 533018, "full_name": "Gwanygha’a Gana", "title": "Founder", "founder_bio": "Gana in an ex-founder with experience building and investing in companies in the US and Africa. He holds a BS in Electrical Engineering and an MS in Data Science from Georgia Tech, and an MBA from Harvard Business School. He is a casual bartender.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ggana/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8260028903386f91b680a157e6d1b5778b3a640.jpg" }, { "user_id": 829336, "full_name": "Cedric Foudjet", "title": "Founder", "founder_bio": "Cedric is an ex-founder and Venture Capitalist with experience building and investing in companies in Africa and South East Asia. Cedric is also a self-taught cloud computing engineer with experience helping major fortune 500 companies execute digital transformations and build a new cloud native applications. On his free time he geeks over crypto and watches shows like Billions and Succession. Cedric holds a Bachelors of Science degree from Concordia College and an MBA from Wharton.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cedric-foudjet-0470064b/", "x_url": "https://twitter.com/cedricfoudjet?lang=en", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4159a1432de9399df2fe5da1eb4dff514b49f731.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101608, "title": "Rima: AI agents for document work accountants hate", "tagline": "Rima interviews accountants, captures their edge cases, and automates the manual work", "body": "Hey everyone👋🏽,\n\nIt’s [Gana](https://www.linkedin.com/in/ggana/) & [Cedric](https://www.linkedin.com/in/cedric-foudjet-0470064b/) from [Rima ](https://www.getrima.ai/)\n\n**TL;DR** \n\nOver 50% of accountants still receive client documents as email attachments, scans, and paper. They spend hours on formatting, data entry, and Excel wrangling before anything ever touches the ERP. Rima interviews these accountants, understands their edge cases and builds custom document workflows to automate this manual work. \n\n**ASK**: If you know accounting teams struggling with manual document workflows we’d love to speak with them - [founders@getrima.ai](mailto:founders@getrima.ai) \n\n**Launch Video** \n\n \n\n**_Problem_**\n\nWhen my mom's small business almost went bankrupt, it wasn't saved by software. It was saved by an accountant who used their brain to rescue the company. But today, these brilliant minds are stuck doing boring, repetitive work.\n\nOver 50% of accountants still get client files as emails, scans, and paper. They waste hours on data entry and broken spreadsheets. Generic AI only gets 55% of the way there because it was never trained on your client's edge cases. That's why accountants say AI is dumb. It's not. It just doesn't have their context yet. \n\nWe don't try to out-Claude Claude. We built Rima to solve the last mile: the library of edge cases (customer context) AI was never trained on so accountants can finally unlock its real value\n\n**_Our Solution_**\n\nRima **interviews accountants** until it understands exactly how they want things done and **captures their unique edge cases**. Then, it builds a custom workflow to handle that task. \\\n\\\nWe leverage what LLMs are good at - coding - and pair it with the **proprietary library of edge cases** that Rima collects across each client to build agentic workflows that are personalized and up to 99.7% accurate. \n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/58582253-59ef-4bdd-b37e-7810d8c86ca5)\n\n\\\nRima learns from each client workflow and grows the library of edge cases over time. The end result is customers feel like Rima gets better and easier to use after every workflow. \n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/eb9702ef-30bc-4604-ab86-033924c5b9f9)\n\n\\\nToday, accountants use Rima to automate workflows such as cleanups and catchups, bank and CC recon and data entry for tax workpapers among others. \n\nRima is best for accounting teams that still receive documents such as invoices, POs, statements and contracts via email attachments, scans or paper\n\n![uploaded image](/media/?type=post&id=101608&key=user_uploads/533018/2d51ab0c-e331-4e20-926e-0c10dd86352f)\n\n\n**_Our team_**\n\nWe worked closely with over 4000 small businesses while building a wholesale distribution business and our accounting back-office was a mess. We know how messy the data from SMB operations can be and understand the manual work their accountants go through to help these businesses thrive. \n\nToday accounting firms and in-house accounting teams are automating manual document workflows on Rima. \n\n**_Where we are headed_**\n\nWe’re on a mission to build the deepest edge case library, powering automations everywhere for SMB accounting teams. \n\n**_Our ASK - How you can help us_** 📌\n\n→ If you know in-house accounting teams struggling with manual document workflows we’d love to speak with them\n\nlearn more @ [www.getrima.ai](http://www.getrima.ai)", "url": "https://www.ycombinator.com/launches/QQq-rima-ai-agents-for-document-work-accountants-hate", "votes": 13, "created_at": "2026-05-20T01:26:05.918Z" }, { "id": 64499, "title": "Garage: Wholesale auto parts marketplace for Africa's 2M+ retailers", "tagline": "We're connecting the worlds largest parts distributors and manufacturers to retailers in Africa", "body": "Hello YC Family\n\nThis is Gana and Cedric, Co-founders at [Garage](https://www.garagemobility.com/).\n\n**At Garage, we are building the wholesale marketplace for auto parts in Africa**\n\n**Backstory**\n\nCedric and I are ex-founders with experience building, scaling and investing in startups in Africa. I used to buy and ship auto parts to my dad in Cameroon and realized that the landing cost once those parts arrived in Cameroon was still cheaper than buying locally. We realized that this issue was due to inefficiencies across the supply chain for parts distribution. Garage aims to solve this problem by building a wholesale marketplace that will power the $25B after sales market in Africa.\n\n**The Problem**\n\nOver $25B in auto parts sales in Africa occur at neighborhood retail shops. These retail shop owners are the backbone of the aftersales market yet they struggle to survive because\n\n* They have no visibility into which suppliers have which parts\n* Multiple layers of middle men and low buying power lead to inflated and volatile pricing\n* They don’t have enough working capital to grow their businesses\n\n**The Solution**\n\nGarage is a wholesale auto parts distributor for Africa, supporting these retailers. We aggregate parts from the largest suppliers in the world and deliver directly to retailers. We are building the largest auto tech platform to reduce the cost of car ownership in Africa by making auto parts more affordable and accessible.", "url": "https://www.ycombinator.com/launches/GmJ-garage-wholesale-auto-parts-marketplace-for-africa-s-2m-retailers", "votes": 18, "created_at": "2022-07-11T10:36:53.292Z" } ] }, { "id": 27040, "name": "Grai", "slug": "grai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/217dbf57c9649c7822bbee101a62b2d34a750a85.png", "website": "https://www.grai.io", "all_locations": "San Francisco, CA, USA; London, England, United Kingdom; St. Louis, MO, USA", "long_description": "Grai is open source version control for metadata. We can determine how database changes will affect deployed machine learning models, apis, and dashboards because we understand how data relates across systems which don’t otherwise talk to each other.", "one_liner": "Open source version control for metadata", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1660014966, "tags": [ "Developer Tools", "SaaS", "Analytics", "Open Source", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Inactive", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "United Kingdom", "America / Canada", "Europe", "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/grai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/grai.json", "year_founded": 2021, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/grai-io/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/grai", "github_url": "https://github.com/grai-io", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/217dbf57c9649c7822bbee101a62b2d34a750a85.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 696649, "full_name": "Ian Eaves", "title": "Founder", "founder_bio": "Ian is a recovering ex-physicist turned machine learning engineer with experience building MLE teams everywhere from startups (Bellhops) to fortune 50 companies (Centene). An active open source contributor he's written software with over 11M downloads (Visions). Grai was born from the pain of working on distributed data particularly within enterprise settings.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ieaves/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a0e6ffe7f84a454640193fd1395f3940c644a5db.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65887, "title": "✨ Grai - Open-source version control for metadata", "tagline": "Grai knows how a database migration will impact deployed ML models, APIs, and more because it understands how data relates across systems.", "body": "![uploaded image](/media/?type=post&id=65887&key=user_uploads/696649/b51bcf0a-5353-4db3-b9c4-8836f2ea423a)\n\n**TL;DR Grai makes developers smarter by bringing metadata from across their stack into their development tools. We make testing data flows between applications painless.**\n\nGo to 👉 [grai.io](http://grai.io)\n\n### 😭 **Problem**\n\nTracking (let alone testing) data once it leaves a production environment is challenging. Whether in a data engineers transformation pipeline, an ML model, or the CFO’s metrics dashboard, that data _will_ be used elsewhere. Without visibility on those use cases data changes remain risky and outage prone.\n\n### 🚀 **Solution**\n\nGrai is an open-source data management platform designed to help you better use your data.\n\n* **Automated data lineage** - Pre-built connectors to keep metadata fresh.\n* **Integrated with git** - Changing a column in your DB? Run data integration tests for all downstream users as part of your standard CI/CD process.\n* **One-stop-shop** - A unified model of your entire data stack.\n* **Your data belongs to you** - Grai is open-source & self-hosted with a cloud option coming soon.\n\n### 🎉 **Closing thoughts (and asks!)**\n\nMy ask: give it a shot!\n\n* Browse the [code](https://github.com/grai-io/grai-core)\n* Check out the [demo](https://github.com/grai-io/grai-core/tree/master/examples/quick_start_postgres)\n* Reach out! [ian@grai.io](mailto:ian@grai.io)\n\n\\~ Ian\n\n![uploaded image](/media/?type=post&id=65887&key=user_uploads/696649/7ecc72b3-40f5-4473-ae0f-157159a139eb)\n\n", "url": "https://www.ycombinator.com/launches/H8h-grai-open-source-version-control-for-metadata", "votes": 51, "created_at": "2022-09-07T00:00:00.601Z" } ] }, { "id": 27108, "name": "Sanifu", "slug": "sanifu", "former_names": [ "Patika Technology Limited", "Patika" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc10943e14517d77a119ecad164eb2d76d6db52b.png", "website": "https://sanifu.ai", "all_locations": "Nairobi, Nairobi County, Kenya; Remote", "long_description": "Sanifu automates the repetitive work spreadsheets are used for. Teams across finance, marketing, operations, and revenue simply describe their repetitive work like cleaning and validating data, matching records, preparing reports and moving data from emails, PDFs and Excel exports into dashboards and other systems. Sanifu captures the steps, rules and outputs so the work is repeated reliably every time\r\n\r\nSome of these work never needed spreadsheets to begin with; the likes of data cleanup, bank reconciliations, report consolidation, payment allocations, channel attributions. Spreadsheets have become the standard workbench for handling these tasks and in the process, teams lose valuable time doing manual data entry, filling templates, formatting data, applying formulas, deleting rows or columns.\r\n\r\nSanifu is replacing the spreadsheet while maintaining the logic and processes behind the work, getting you from inputs to your desired outputs in seconds. This significantly reduces time spent on copy-paste work, spreadsheet cleanup, and manual entries and checking, while improving accuracy, consistency, and operational visibility. Sanifu helps teams scale critical back-office processes without relying on brittle spreadsheets, scripts, or general AI tools that reinvent the logic every run.\r\n\r\nSanifu is a full operational platform with 5k+ app integrations, 1k+ native functions, forms, scheduler, data stores, dashboards, approvals, reviews, AI-powered entity matching among many other features that make it an end-to-end data app management platform", "one_liner": "Automate the repetitive work spreadsheets are used for", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1655225496, "tags": [ "SaaS", "B2B", "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "Kenya", "Africa", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sanifu", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/sanifu.json", "year_founded": 2021, "city": "Nairobi", "country": "KE", "linkedin_url": "https://www.linkedin.com/showcase/sanifu", "x_url": "https://x.com/SanifuAi", "fb_url": "https://www.facebook.com/Patika-Africa-103542242060777", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/dc10943e14517d77a119ecad164eb2d76d6db52b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/21096d7db5182ef9ab5248fc56a7e958ee819e84.png" ], "primary_partner": null, "founders": [ { "user_id": 747527, "full_name": "Sidney Rema", "title": "Founder", "founder_bio": "Co-Founder & CEO at Patika - helping finance, marketing, operations, and revenue teams automate the manual data processes they currently do across spreadsheets, emails, PDFs, and disconnected systems.\n\nTrained as a Medical Doctor (Partly). 5 Years+ experience in Banking - Extending credit to micro & small businesses in Nairobi, Kenya. In my previous company, built payments systems with $10M+ monthly GTV across Kenya, Nigeria & Uganda. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sidney-rema-90138658/", "x_url": "https://twitter.com/sidneyrema_?t=Xr0rdOT-gm2VdRYFbatHRg&s=09", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f20e08b1b2e80d24a7c4471aaa97390f5c8c5d36.jpg" }, { "user_id": 742381, "full_name": "Phelix Juma", "title": "Founder", "founder_bio": "Co-Founder & CTO at Sanifu - helping finance, marketing, operations, and revenue teams automate the repetitive work they spend hours doing manually in spreadsheets \n\nI previously helped 3 companies build payments systems that processed $10M in monthly GTV across Kenya, Uganda and Nigeria. \nI am an EE graduate from University of Nairobi with background in information systems, banking, payments integration and data science", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/phelix-juma-80877193/", "x_url": "https://twitter.com/jumaphelix", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9b18e418314e77cd9e88fc431aa560d38311e408.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 101295, "title": "Sanifu: Automate the repetitive work spreadsheets are used for", "tagline": "Describe your repetitive and manual work you currently do in spreadsheets and Sanifu turns them into autonomous data apps that run the same way every time.", "body": "Sanifu automates the repetitive work spreadsheets are used for. Teams across finance, revenue, and operations simply describe their repetitive work like cleaning and validating data, matching records and moving data across systems. Sanifu captures the steps, rules and outputs and runs it automatically and reliably every time.\n\nThis significantly reduces time spent on copy-paste work, spreadsheet cleanup, and manual entries and checking, while improving accuracy, consistency, and operational visibility. Sanifu helps teams scale critical back-office processes without relying on brittle spreadsheets, scripts, or general AI tools that reinvent the logic every run.\n\n\n\n### **The problem**\n\nAnalysts and teams in finance, revenue, and operations spend a huge part of their day doing manual data work. Cleaning data, preparing reports, moving things across systems, tracking work. It's repetitive, boring, and takes time away from the parts of their job that actually matter. The same work gets done repeatedly because their data is scattered across systems, emails, PDFs, and files. Only a few people know the rules and exceptions. When they leave, the process breaks.\n\nExisting tools don't solve the whole problem. Spreadsheets, macros, and scripts are brittle and hard to maintain. General AI tools can help, but they reinvent the logic on every run, so outputs need constant checking and can't be trusted for critical workflows.\n\n### **How Sanifu solves this**\n\nAnyone can turn their manual data work into an autonomous data app—just by describing it.\n\n1.⁠ ⁠You describe the process.\n\nIn plain English, you walk Sanifu through what you do. It asks the right questions, handles edge cases, understands your rules, and works with your real data (files, emails, systems) to define the full workflow.\n\n2.⁠ ⁠Sanifu runs it with you.\n\nIt executes the process end-to-end, showing real-time progress and outputs. You review results, make changes, and refine the workflow until it matches exactly what you expect.\n\n3.⁠ ⁠It becomes a reliable operations platform.\n\nOnce approved, Sanifu saves the entire process and turns it into a data app. All future runs replay the exact steps whereby the same input plus same context equals same output. It’s more than a workflow tool: built-in data stores, dashboards, forms, integrations, scheduled and event triggers as well as audit trails.\n\nSanifu is a full operational platform with 5k+ app integrations, 1k+ native components, forms, scheduler, data stores, dashboards, approvals, reviews, AI-powered entity matching among many  other features that make it an end-to-end data app management platform.\n\nSome of the fastest growing teams in various industries are already using Sanifu to save their team’s hundreds of hours per day of manual data handling.\n\n**Asks**\n\nIf you run a SaaS, finance, ops, or sales team and you have a workflow that involves cleaning, matching, moving data across systems or manual reporting, please reach out. We'll build your first data app with you, free, in exchange for honest feedback.\n\n* Get Free $25 Credits at  \n* Talk to us: [founders@sanifu.ai](mailto:founders@sanifu.ai) or WhatsApp +254 712 983 630\n* Intros welcome: anyone in finance, ops, RevOps, or biz ops at a YC company is exactly our ICP.", "url": "https://www.ycombinator.com/launches/QLn-sanifu-automate-the-repetitive-work-spreadsheets-are-used-for", "votes": 13, "created_at": "2026-05-13T18:32:52.849Z" }, { "id": 64212, "title": "🚀 Patika - Receivable Automation & Payments for Africa’s SMBs", "tagline": "Enabling SMBs in Africa to track customer debt, facilitate the repayments and manage their cash flow", "body": "**Patika enables Africa’s SMBs to track customer debt, facilitate the repayments and manage their cash flow**\n\nMy mum runs a small shop and we saw her struggle with this problem. She was spending up to 3 hours a day doing phone call follow ups and reconciliations.\n\n### **Problem**\n\nSMBs in Africa are using pen and paper to record and track customer debt which is ineffective and time consuming. As a result, up to 60% is paid late and they lose as much as $2k a year to non-payments.\n\n![uploaded image](/media/?type=post&id=64212&key=user_uploads/742381/aaeddd2a-247c-4173-bfcf-07ba02343ced)\n\n### **Solution**\n\nWe are automating previously manual processes like debt repayment reminders, billing, payments and reconciliations.\n\n1. A business on Patika adds their customer and the debt amount.\n2. Patika sends automated payment reminders directly via SMS or WhatsApp.\n3. The customer can pay them directly through the payment link they received or if paid in cash, they can record the repayment on the app and issue a receipt.\n\n ![uploaded image](/media/?type=post&id=64212&key=user_uploads/742381/9aff975c-0730-4a97-9e40-a87d1b2fff2f)\n\n\n### **Want to join us?**\n\n1. You can reach us at [founders@patika.africa](mailto:founders@patika.africa)", "url": "https://www.ycombinator.com/launches/Ghg-patika-receivable-automation-payments-for-africa-s-smbs", "votes": 43, "created_at": "2022-06-30T05:47:38.319Z" } ] }, { "id": 27160, "name": "Drahim 💰", "slug": "drahim", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/96103cd7aac43855d9ebc13e579a9aacb9a1126b.png", "website": "https://drahim.sa", "all_locations": "Riyadh, Riyadh Province, Saudi Arabia", "long_description": "\"Drahim\" is a slang for money in Arabic (from the ancient Greek Drachma).\r\n\r\nThe app integrates with banks and provides individuals meaningful spending insights and generates auto savings and investment advice.\r\n\r\nFor the meaningful insights, the app integrates with banks and automatically categorizes all of your transactions (All of your accounts in one place) and spots spending patterns and behaviors.\r\n\r\nDrahim then suggests a saving and investing plan that allows the user to continue living comfortably and to keep spending guilt-free.\r\n\r\nOur focus is not necessarily to save you money, rather we grow your money discreetly. Drahim allows you to continue spending but feeling way better doing it.", "one_liner": "WealthFront for Saudi & Middle East", "team_size": 8, "industry": "Fintech", "subindustry": "Fintech", "launched_at": 1653766161, "tags": [ "Fintech", "Analytics", "Investing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "Fintech" ], "regions": [ "Saudi Arabia", "Middle East and North Africa", "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/drahim", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/drahim.json", "year_founded": 2021, "city": "Riyadh", "country": "SA", "linkedin_url": "https://www.linkedin.com/company/drahim", "x_url": "https://twitter.com/drahimapp", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/96103cd7aac43855d9ebc13e579a9aacb9a1126b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 869550, "full_name": "Sultan Alkhayal", "title": "Founder", "founder_bio": "Sultan previously founded a software development agency that built products for 20+ enterprise customers, including 2 unicorns, that reached 80+ million users around the world.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sultanalkhayal/", "x_url": "https://twitter.com/sultankme", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7e21e48519a36871f4baac6a9a9a8074a6324794.jpg" }, { "user_id": 954880, "full_name": "Yasser Alshurihi", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/y1sser/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3f1e0cb03c389991abcb8ea4469797fa4e3a22b2.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 27177, "name": "MovingLake", "slug": "movinglake", "former_names": [ "Moving Lake" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca7dff480b4b49f376fc3b90d1adc3c17872277f.png", "website": "https://movinglake.com", "all_locations": "Mexico City, CDMX, Mexico; Remote", "long_description": "MovingLake is Fivetran for event-driven architectures. Companies such as Casai use our product to obtain orders and price changes in real time.", "one_liner": "Realtime Data Connectors", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1657821965, "tags": [ "SaaS", "B2B", "Analytics", "API", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Mexico", "Latin America", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/movinglake", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/movinglake.json", "year_founded": 2022, "city": "Mexico City", "country": "MX", "linkedin_url": "https://www.linkedin.com/company/movinglake", "x_url": "https://twitter.com/MovingLake", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ca7dff480b4b49f376fc3b90d1adc3c17872277f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 200174, "full_name": "Andres Paez", "title": "Founder", "founder_bio": "Worked as a Software Engineer and Product Manager at Amazon Prime, Google Search and Google Cloud Platform for about 7 years. Have worked as the CTO of Casai and Valoreo for the last 3 years starting technology teams from scratch leading software engineers, hardware engineers, software managers, data engineers, data scientists, IT professionals, DevOps engineers, product managers and product designers.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrespaezmartinez/", "x_url": "https://twitter.com/APaezMx", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/224e0603789e0166a5ffd26612b9fe00f2bf79fb.jpg" }, { "user_id": 1104191, "full_name": "Edgar Cabrera", "title": "Founder", "founder_bio": "About ten years of Sofware Engineer Experience at startups of several stages. I have worked in developing products from scratch until they become scalable, robust systems. I love the feeling of my work bringing value to others.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/edgarcabrera-dev/", "x_url": "https://twitter.com/aleandros", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c2dc5600f1710409129ac66012541518e8ca9acd.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 71150, "title": "MovingLake - Vertical-first, realtime, AI-enabled data platform", "tagline": "LLM-enabled data connectors, transformations and visualizations for e-commerce, hospitality and more", "body": "Hi!\\\n**We are now launching our LLM-enabled BI tool which allows all of our clients to query their databases by using prompts in plain english.**\n\n![uploaded image](/media/?type=post&id=71150&key=user_uploads/200174/8c06ceeb-4d8f-48ac-a152-3535bfb76eb6)\n\nHappy to announce that MovingLake user’s can not only get their data centralized in their data warehouse, but we are now enabling an end-to-end business intelligence experience where in a matter of minutes you can get the data flowing AND get the dashboards going.\n\nThis is important because not all of our clients are friendly with SQL or with BI tools. Letting them access their data in a secure way and using plain english questions is a game changer for them.\n\n**Ask**\n\nWe are looking to integrate to other data connector tools and companies as well as other data products to be able to give the most value faster to our clients. Please reach out if this would be interesting to your company.\\\n\\\nWe are available at [andres@movinglake.com](mailto:andres@movinglake.com) and [edgar@movinglake.com](mailto:edgar@movinglake.com) ", "url": "https://www.ycombinator.com/launches/IVa-movinglake-vertical-first-realtime-ai-enabled-data-platform", "votes": 17, "created_at": "2023-04-24T19:26:45.556Z" }, { "id": 64655, "title": "MovingLake: Realtime, event-driven data connectors", "tagline": "Proprietary data connectors which feed both data and transactional systems", "body": "Hey YC!\n\n[Edgar Cabrera](https://www.linkedin.com/in/edgarcabrera-dev/) and [I](https://www.linkedin.com/in/andrespaezmartinez/) are excited to launch [Moving Lake](https://movinglake.com/) today.\n\n**TLDR: MovingLake aims to do ETLs for event-driven architectures. Power your data warehouse as well as your microservices using the same API connectors.**\n\n### ⚠️ **What’s the Problem?**\n\nAfter talking to dozens of data engineers as well as technology stakeholders, and from our past experience, we uncovered a set of intertwined problems with current data connectors:\n\n1. A data connector does not provide data to transactional systems. This can lead to duplication of integration work plus lack of reliability between different sources of data. For machine learning this can be real trouble\n2. API integrations done in house are flaky and require a lot of investment in development and maintenance\n3. Event-driven architectures are reimplementing over and over again the same pieces of infrastructure such as schedulers, pollers and webhook receivers\n4. Batch extractors can skip states and so end up with missing data. For example if I have a booking business and a reservation gets cancelled 10 minutes after created, the batch pipeline will only see the cancelled state but not the created state.\n5. Running automations and other workflows is impossible with batch data connectors.\n\n### 👍 **What’s the solution?**\n\n**Realtime, event-driven, deduplicated, replayable, ELT friendly and SDK ready connectors which feed both data and transactional systems at the same time.**\\\nWe are rolling out connector for APIs which give you the ability to add any number of destinations including data and backend systems. We provide on top of that transformations for the data side so that you get the data in nicely formatted tables. Plus we also aim to provide easy to use SDKs so that consuming MovingLake’s webhooks is as easy and fast as possible.\\\n\\\n❓ **What’s the ask?**\n\nDo you have recurring issues with data reliability? Do you end up writing batch scripts to recover lost data from webhooks? Do you struggle with running your machine learning models from batch pipeline’s data? Reach out to [founders@movinglake.com](mailto:founders@movinglake.com) or contact us through our [website](https://movinglake.com/contact-us).\\\n\\\nThanks!", "url": "https://www.ycombinator.com/launches/Gop-movinglake-realtime-event-driven-data-connectors", "votes": 166, "created_at": "2022-07-15T16:27:46.974Z" } ] }, { "id": 27195, "name": "Vizzly", "slug": "vizzly", "former_names": [ "Vizzly Technology Ltd" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/22e8f105fb29e8957dec4db2a7b28a0c24a20539.png", "website": "https://vizzly.co/", "all_locations": "London, England, United Kingdom; Remote", "long_description": "Vizzly provides customer-facing analytics for modern SaaS.\r\n\r\nThe platform offers the same level of flexibility as an in-house development process with minimal technical overhead required. ", "one_liner": "Customer-Facing Analytics for Modern SaaS.", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1659723878, "tags": [ "Developer Tools", "SaaS", "B2B", "Analytics", "API" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2022", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/vizzly", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/vizzly.json", "year_founded": 2022, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/vizzlyco", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/22e8f105fb29e8957dec4db2a7b28a0c24a20539.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 858781, "full_name": "Matt Williamson", "title": "Founder", "founder_bio": "Co-Founder & CEO @ Vizzly | Skyscanner & Duffel Alumni", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/williamsonmatt/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/020be053bd21ed69d336f67e7f4829063555ad3b.jpg" }, { "user_id": 968222, "full_name": "James Bowers", "title": "Founder", "founder_bio": "Co-founder & CTO of Vizzly", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/james-matthew-bowers/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/da0448f402c7d09b0d4981be04d2e1d195f87ba1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 65280, "title": "Vizzly ⚡️ Customer-Facing Analytics for Modern SaaS", "tagline": "Build, embed, share and delight your users with data.", "body": "**✨ TL;DR**\\\n[Vizzly](https://www.vizzly.co/) is customer-facing analytics for modern SaaS.\n\nOur primary goal is to help SaaS companies build beautiful customer-facing analytics without compromising the user experience or product quality.\n\nVizzly offers a semantic layer, works with your authentication setup, and provides a powerful visualization layer that's extensible with code for those who want more control.\n\nWith Vizzly, customers can build and deliver anything from simple user-facing insights to advanced custom reporting and everything in between.\n\n**❌ The problem**\n\nOver 75% of B2B SaaS companies have (or will need) customer-facing dashboards or reporting capabilities, but embedded analytics tools are stereotypically rigid and force a lot of compromise.\n\nFor example, many of these tools offer simple iFrame embeds, instantly limiting flexibility, programmability, and impacting performance.\n\nIf SaaS companies do build in-house, they end up committing precious time to building a large product feature that’s often not core to their unique value proposition.\n\nThe maintenance overhead is often overlooked until customers begin asking for new cuts of data or other views, meaning the SaaS company needs to extend the backend API and build new visualizations if they want to satisfy the request.\n\n**💡 How we help**\n\nVizzly provides customer-facing analytics for modern SaaS; offering the same level of flexibility as an in-house development process with minimal technical overhead required.\n\nKey product areas include:\n\n* Ultra low-code experience: get setup in hours.\n* JS-based embedding (React, Angular, Vue & Svelte).\n* Extensible with code and highly flexible.\n* Native to your UI (we offer a lot of control).\n* Works with normalized and dynamic customer data structures.\n* Direct API access via our React or Vanilla JS Hook.\n* A powerful Custom Reporting option.\n\n**❓How do I sign up?**\n\nSign up link [**here**](https://app.vizzly.co/sign-up)**.**\n\nAlternatively, feel free to schedule a demo with us [**here**](https://calendly.com/mswilliamson/call-with-matt)**.**\n\nThank you! Vizzly Team ✌️", "url": "https://www.ycombinator.com/launches/Gyu-vizzly-customer-facing-analytics-for-modern-saas", "votes": 71, "created_at": "2022-08-10T17:11:57.727Z" } ] }, { "id": 27676, "name": "Cardinal", "slug": "cardinal", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5d014c36052bdd4a69088606fa34d3acd89ab7a.png", "website": "http://cardinalapp.io", "all_locations": "Austin, TX, USA; San Francisco, CA, USA; Remote", "long_description": "Cardinal is an opinionated feature backlog. It pulls in your customer feedback, CRM data, and task management issues and uses AI to assess which customers want which features, how important is it for them, and how much are they worth", "one_liner": "Your AI product backlog", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1677706257, "tags": [ "Generative AI", "SaaS", "B2B", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/cardinal", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/cardinal.json", "year_founded": 2023, "city": "Austin", "country": "US", "linkedin_url": "http://linkedin.com/company/cardinalappio", "x_url": "http://twitter.com/cardinalappio", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b5d014c36052bdd4a69088606fa34d3acd89ab7a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1136316, "full_name": "Wiz 👋🏻", "title": "Founder", "founder_bio": "Entrepreneur. Father. Geek.\nLove coffee and coffee loves me.\nFull name is Nadav Weizmann 😉\n", "is_active": true, "linkedin_url": "http://linkedin.com/in/nadavwiz", "x_url": "http://twitter.com/nadavwiz", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5d606a1d1f1b363bd34e8188a52699a96c3fc165.jpg" }, { "user_id": 965968, "full_name": "Mor Sela", "title": "Founder", "founder_bio": "Building something new.\nProduct builder at heart and a professional code whisperer.\n\nLed engineering teams through product development, acquisitions, strategic changes, and reorganizations at Cardinal (acq by Miro), Epic Games, Houseparty (acq by Epic Games), Docady, and the israeli 8200 unit\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/selamor/", "x_url": "https://twitter.com/slmosl", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/49100a77ccbc80deeb7f2b9cc5af8eae6a75965d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69853, "title": "☕️ Cardinal - Enabling product teams to build measurable features", "tagline": "The system of record for product teams enabling them to build the right things and achieve data-driven goals", "body": "☕️ **TL;DR**\n\nCardinal is the platform for product teams to define strategies, break it down to goals and set specs (features) with live data and KPIs across systems, consistently through teams and projects.\n\nHi, we’re [**Wiz**](https://twitter.com/nadavwiz) and [**Mor**](https://www.linkedin.com/in/selamor/), co-founders of Cardinal.\n\n![uploaded image](/media/?type=post&id=69853&key=user_uploads/1136316/88bc6831-ff37-45c6-b40d-54c6c1c654ea)\n\n**🏆 Why Us**\n\nWe’ve lead product and engineering at Epic Games (Directors).\n\nWe’ve lead product and engineering at Houseparty (acquired by Epic Games).\n\nWe’ve started and worked at startups (Docady, Onavo \\[Acquired by META\\]).\n\nWe’ve lead deep tech teams at 8200 (Israeli NSA).\n\nWe’ve been working together for 15 years and built internal tools to document and communicate strategies, progress, and try and track measurements of those throughout. From startup scale to corporate scale, it was always needed and insufficient.\n\nWe’re excited to fix this!\n\n**😩 Problem**\n\nManaging product teams, building and shipping features is hard. Product discovery, spec-ing, prioritization, alignment, measurements and learnings all take a toll on teams trying to execute and build impactful features.\n\n**🧠 Solution**\n\n1. Managing strategy: through time, initiatives and stakeholders.\n2. Methodology: all your teams are aligned and work the same way\n3. Documentation & Knowledge Management: know your history and use it easily.\n4. Data & Insights: connect various systems and set real, live goals.\n\n ![uploaded image](/media/?type=post&id=69853&key=user_uploads/1136316/b98d3f9e-9e77-4dde-aefb-4796c1a5a5ae)\n\n\n**🙏🏻 Our Asks**\n\nSign up to the beta at [cardinalapp.io](http://cardinalapp.io), give us real feedback.", "url": "https://www.ycombinator.com/launches/IAf-cardinal-enabling-product-teams-to-build-measurable-features", "votes": 17, "created_at": "2023-03-01T22:19:29.195Z" } ] }, { "id": 27677, "name": "Matano", "slug": "matano", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a222c90e6dc5a485e0f58e7075243197316b5126.png", "website": "https://www.matano.dev", "all_locations": "Seattle, WA, USA; San Francisco, CA, USA", "long_description": "Matano is a modern SIEM, built for cloud-first security teams. \r\n\r\nIt replaces traditional SIEM databases like Splunk or Elastic with a cybersecurity platform built on top of a cost-effective Security Data Lake.", "one_liner": "Cloud Native SIEM (alternative to Splunk/Elastic)", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Security", "launched_at": 1673220532, "tags": [ "DevSecOps", "Analytics", "Open Source", "Cybersecurity" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Security" ], "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/matano", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/matano.json", "year_founded": 2022, "city": "Seattle", "country": "US", "linkedin_url": "https://www.linkedin.com/company/matanolabs/", "x_url": "https://twitter.com/matanolabs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/matano", "github_url": "https://github.com/matanolabs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a222c90e6dc5a485e0f58e7075243197316b5126.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 785948, "full_name": "Samrose Ahmed", "title": "Founder", "founder_bio": "Hi I'm Samrose, a software engineer by background. I grew up in NYC, went to CMU, and worked at AWS for a few years before starting Matano. I'm especially interested in big data, cloud, and highly available systems. Outside of work, I'm an avid reader.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/samrosea", "x_url": "https://twitter.com/AhmedSamrose", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/52bfc4aa9aa1ac47491681b0e4a44e634a13e971.jpg" }, { "user_id": 787913, "full_name": "Shaeq Ahmed", "title": "Founder", "founder_bio": "Hey! Shaeq is a software engineer who originally hails from New York and loves all things open source, security and big data. He quit his job \ncrunching data for autonomous robots at Amazon to build Matano - an open-source SIEM alternative for security teams on AWS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaeq-ahmed", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a79a8d4cc1f220f2fc21e18256f03991d9392f7e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 68262, "title": "Matano - Open source SIEM alternative for AWS", "tagline": "Matano is a high scale, low cost alternative to traditional SIEM (e.g. Splunk, Elastic) built around a vendor agnostic Security Data Lake in your AWS account.", "body": "**👋** Hi YC! We’re Samrose & Shaeq and we are excited to launch [Matano](https://github.com/matanolabs/matano).\n\n### TL;DR\n\n**Matano is a high-scale, low-cost, zero-ops alternative to traditional SIEM (e.g. Splunk) that deploys a security data lake directly in your AWS account.** It lets you ingest petabytes of security and log data from various sources, store and query them in an open [Apache Iceberg](https://iceberg.apache.org/) data lake, and create Python detections as code for realtime alerting. Matano is fully serverless and designed specifically for AWS.\n\n![uploaded image](/media/?type=post&id=68262&key=user_uploads/785948/5ec8b84a-df7a-44d1-914b-2c30af3dc2fa)\n\n### **Problem**\n\n* Traditional tools used to analyze security data (SIEMs) don’t scale, and are too expensive and difficult to manage for security teams on the cloud.\n* Security data is now a Big Data problem: collecting data from your network, SaaS, and cloud environments can exceed 100TBs of data. Security teams are forced to either not collect some data, leave data unprocessed, or build an in-house data lake to cost-effectively analyze large datasets.\n* At scale, without a strategy to normalize data into a structured format, it is difficult to correlate across data sources & build effective alerts that don’t create many false positives. Traditional SIEM query-based rules fail to accurately identify threats.\n\n### **Our Solution**\n\nWe’re leveraging our years of experience at AWS in Big Data and cloud technologies to build a modern alternative to SIEM designed from the ground up for efficiency, scalability, cost effectivity, and vendor neutrality.\n\n![](https://www.matano.dev/assets/images/diagram-09d3bbd00cb55ab585125b7a7ec452c6.webp)\n\n* **Security Data Lake** Matano normalizes unstructured security logs into a structured realtime data lake in your AWS account. All data is stored in optimized Parquet files in S3 object storage for cost-effective retention & analysis at petabyte scale.\n* **No vendor lock-in** Matano lets you truly own your own security data. Cybersecurity vendors lock your data in proprietary formats which make it very difficult to use outside of their product. With Matano, all your data is in open Apache Iceberg tables that can can be directly queried from different tools (AWS Athena, Snowflake, etc.) without having to copy any data.\n* **Detection-as-code** Matano gives you the flexibility of Python to implement realtime alerting on your log data and introduce a development lifecycle to detection by managing rules in Git (test, code review, audit).\n* **Serverless** ​​Matano is a fully serverless platform built entirely on technologies like Lambda, S3, and SQS and is designed for zero-ops and unlimited elastic horizontal scaling. Matano uses Rust for blazing fast performance [🦀](https://emojiterra.com/crab/).\n* **Open source** Matano is licensed as Apache 2.0 and always will be. Matano uses an open table format (Apache Iceberg) and common schemas ([Elastic Common Schema](https://github.com/elastic/ecs)), to give you full ownership of your security data.\n\n### **Ask**\n\n* If you’re a security team interested in using Matano, feel free to reach out over email at [founders@matano.dev](mailto:founders@matano.dev).\n* Try out our project and star [⭐](https://emojipedia.org/star/) us on GitHub: .\n* Join our [Discord community](https://discord.gg/YSYfHMbfZQ)!", "url": "https://www.ycombinator.com/launches/Hl0-matano-open-source-siem-alternative-for-aws", "votes": 48, "created_at": "2023-01-09T00:57:23.279Z" } ] }, { "id": 27692, "name": "Rollstack", "slug": "rollstack-2", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65e417fdebdce3308c883861f6f1ce40282921ab.png", "website": "https://www.rollstack.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "At Rollstack, we are revolutionizing the way businesses share and communicate data and insights. Organizations worldwide rely on slide decks and documents to make informed decisions, whether for leadership, clients, or partners. Yet, preparing these materials often consumes countless hours. Rollstack fully automates that.\r\n\r\nWe help some of the world's leading organizations—from mid-sized to public companies like SoFi, Zillow and Whirlpool—in automating their slide decks and documents. Headquartered in New York, we offer a remote-friendly workplace and are backed by Insight Partners and Y Combinator, the most successful startup incubator in the world that produced the likes of Airbnb, Twitch, Instacart, Dropbox, Reddit, Doordash, Stripe, Coinbase, etc.\r\n\r\nOur team operates with speed and focus to deliver outsized impacts for our customers. We approach every challenge with first principles, never assuming things have to be done a certain way. We are a diverse team that believes intelligence and kindness go hand in hand, welcoming individuals from all backgrounds. Our persistence and rapid execution define us as a category leader and a future generational company.", "one_liner": "Automate data-driven slide decks and documents with AI", "team_size": 30, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1664774205, "tags": [ "Productivity", "Analytics", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rollstack-2", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/rollstack-2.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/rollstack", "x_url": "https://twitter.com/rollstack", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/rollstack", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65e417fdebdce3308c883861f6f1ce40282921ab.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/84dd41f5b335b418bf3aa11b504861104351fb92.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 946616, "full_name": "Nabil Jallouli", "title": "Founder/CEO", "founder_bio": "Automating PowerPoints and Documents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nabiljallouli/", "x_url": "https://twitter.com/nabs_jallouli", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7fc9f6bfcd05b04bec7f2d0eef2d3aad9790a563.jpg" }, { "user_id": 1014460, "full_name": "Younes Jallouli", "title": "Founder/CPO", "founder_bio": "Building Rollstack, the last mile of the modern data stack. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/younesjallouli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d8e6738cce26698f33b2b0425ed5deee1ddcc67.jpg" } ], "jobs": [ { "id": 65525, "title": "Software Engineer (TypeScript) - UK & Portugal", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/8gY5JtV-software-engineer-typescript-uk-portugal", "location": "PT / GB / Remote (PT; GB)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€60K - €120K EUR", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Node.js", "React", "TypeScript" ] }, { "id": 88426, "title": "Software Engineer (TypeScript) - Eastern US/ Eastern Canada", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/TzIAxqj-software-engineer-typescript-eastern-us-eastern-canada", "location": "SC, US / GA, US / VT, US / DE, US / RI, US / IN, US / NJ, US / CT, US / ME, US / FL, US / NH, US / MA, US / VA, US / WV, US / MI, US / PA, US / MD, US / NC, US / CA / Remote (SC, US; GA, US; VT, US; DE, US; RI, US; IN, US; NJ, US; CT, US; ME, US; FL, US; NH, US; MA, US; VA, US; WV, US; MI, US; PA, US; MD, US; NC, US; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $240K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Node.js", "React", "TypeScript" ] }, { "id": 90999, "title": "Business Development Representative", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/CLefCMg-business-development-representative", "location": "Seattle, WA, US / Remote (Seattle, WA, US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$85K - $100K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94619, "title": "Account Executive ", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/xVWiPwE-account-executive", "location": "US / CA / Remote (US; CA)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$180 - $240", "equity_range": "0.05% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108749, "title": "AI Software Engineer", "url": "https://www.ycombinator.com/companies/rollstack-2/jobs/lo23eXr-ai-software-engineer", "location": "US / GB / PT / MX / BR / CA / Remote (US; GB; PT; MX; BR; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$80K - $240K", "equity_range": "0.05% - 0.20%", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Rollstack Raises $11M Series A to Automate Your Presentations with AI", "url": "https://www.prnewswire.com/news-releases/rollstack-raises-11m-series-a-to-automate-your-presentations-with-ai-302279758.html", "date": "Oct 21, 2024" }, { "title": "Rollstack raises $11 million in Series A", "url": "https://www.rollstack.com/articles/rollstack-raises-11-million-in-series-a-to-automate-your-data-driven-slide-decks-and-documents-using-ai", "date": "Oct 17, 2024" }, { "title": "Rollstack automatically syncs data to reports and presentations | TechCrunch", "url": "https://techcrunch.com/2023/09/27/rollstack-automatically-syncs-data-to-reports-and-presentations/", "date": "Sep 27, 2023" }, { "title": "Enterprise trends from YC W23 Demo Day | Wing Venture Capital", "url": "https://www.wing.vc/content/enterprise-trends-from-yc-w23-demo-day", "date": "Apr 14, 2023" } ], "launches": [ { "id": 68473, "title": "Rollstack - Report automation for the modern data stack", "tagline": "Put your slide decks and documents on wheels ⚙️", "body": "At Rollstack, we're revolutionizing how businesses share and communicate their data. Data-driven slide decks and documents are pivotal in sharing data and insights within organizations and outside.\n\nRollstack is creating a new category in the modern data stack: Report Automation. We connect BI tools to slide decks and documents, automating their updates and creation, and effectively solving the last-mile problem of data presentation.\n\nWe assist some of the world's leading organizations, like SoFi, 1Password, and Zillow, in automating their slide decks and documents.\n\n![uploaded image](/media/?type=post&id=68473&key=user_uploads/1014460/6cba1652-9f20-4ffa-89ad-582de99942fd)\n\n### **Storytelling with slides and docs is too cumbersome today**\n\nDo you find yourself spending excessive amounts of time formatting data, charts, presentations, and documents to make them presentable? Are you challenged collecting data from various sources to create your presentations and documents? And once you finish, you find yourself repeating the same process for each new client, project, the next week, month, or quarter? You are not alone! It takes teams anywhere from a few hours to multiple days to create a single set of slides or visualizations. 50% of professionals create slides weekly. 75% of them reuse the same deck at least once, and 30% over 5 times!\n\n### **Rollstack solves this**\n\nRollstack automatically creates and updates presentations and documents using multiple data sources and updates them for you!\n\n[Rollstack allows you to easily connect to your favorite data sources](https://www.youtube.com/watch?v=UclmZkV6XkM), then takes care of refreshing your data where you want to present it. Rollstack also saves your formatting and visualization choices so that you never do the same task again, and allows you to create multiple variations of these reports at scale.\n\n[Rollstack AI](https://www.youtube.com/watch?v=zT4mC2LgaWc) empowers business users with intelligent, personalized, contextualized insights that integrate into presentations and report documents.", "url": "https://www.ycombinator.com/launches/HoP-rollstack-report-automation-for-the-modern-data-stack", "votes": 82, "created_at": "2023-01-16T23:52:12.877Z" } ] }, { "id": 27712, "name": "Brewit", "slug": "brewit", "former_names": [ "Chataverse", "Members.Land" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b28deb84212c3ba86685834131a7f0142304f1d.png", "website": "https://brewit.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Brewit helps companies to create their role-specific BI agents, trained on their database (through feeding sample queries, metric definitions, column descriptions, etc. to create a semantic layer) that can answer data questions/provide data insights (write SQL, generate plots) through a natural language experience.", "one_liner": "Conversational data analytics for every team", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1674519292, "tags": [ "Analytics", "Data Visualization", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "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/brewit", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/brewit.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/brewit", "x_url": "https://twitter.com/BrewitAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b28deb84212c3ba86685834131a7f0142304f1d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 557708, "full_name": "Leo Lu", "title": "Founder/CEO", "founder_bio": "Leo Lu is the co-founder and CEO of Brewit. Before founding Brewit, Leo was a product manager at JP Morgan, working on an internal business intelligence platform that powers thousands of internal commercial bankers within the organization to find more upsell opportunities and to better prospect. He graduated from UCSD with a degree in Management Science and a minor in Data Science.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/songanglu/", "x_url": "https://twitter.com/realleolu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0414faa2fd2a1e7ed74ddea9f9185b1f4b1d7737.jpg" }, { "user_id": 1140882, "full_name": "Mark Ding", "title": "Founder/CTO", "founder_bio": "Mark Ding was the co-founder and CTO of Brewit (an AI data analyst agent). Before Brewit, he was a data scientist & engineer on Tesla's data platform team. \n\nUC Berkeley EECS Master | UCSD Data Science", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kailingding/", "x_url": "https://twitter.com/markding0", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dd231c748f1983e6b62eba1d3eefe0c04b2fa11.jpg" }, { "user_id": 1208671, "full_name": "Sam Ding", "title": "Founder", "founder_bio": "Sam Ding is the co-founder of Brewit. Before Brewit, he was a software engineer at Apple, building internal platforms on the Wireless team. Before He graduated from the University of Washington with a degree in Human-Computer Interaction.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kaishan-ding/", "x_url": "https://twitter.com/naisuan_eth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/087cbec8ac12c6c7e11c75e896f3ea2ca70cc69a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 80234, "title": "⚡️ Brewit - Your AI analyst who answers your data questions in seconds", "tagline": "Chat with your data warehouse, generate dashboards and reports within minutes", "body": "# **TL;DR:**\n\n[Brewit](https://brewit.ai/?utm_source=yc_launch) helps companies build a business intelligence agent on top of their database and data knowledge. Regardless of their previous technical abilities, anyone can get their data questions answered with beautiful visualizations and insightful interpretations within seconds. Brewit will understand your data schema knowledge, write SQL, and generate the relevant charts behind the scene. It also self-improves as users provide more feedback. [Watch our demo video!](https://www.loom.com/share/f1d6ad7a8d1e4cab97a9fda0f7a6b1be?sid=8e6e0f14-69e0-4846-9761-7287d9c45d21)\n\n### **❌ The Problem**\n\n**Ad-hoc data questions are almost never answered on time:** A mid-sized data team can receive hundreds of data requests per week; on average, it takes 1-2 weeks for these questions to be answered. Not only does this slow down the decision-making process, but it can also derail the data teams from focusing on more meaningful projects.\n\n**Not everyone has the time to learn SQL and visualization tools:** It can take months for someone to master SQL or tools like Tableau, and without these skills, it is hard for someone to perform in-depth analysis or explore the database independently.\n\n**LLM can hallucinate without the relevant context:** Many people use ChatGPT's code interpreter to perform data analysis on specific business tables, but without having the full picture of the company's data schemas and knowledge (aka a semantic layer), ChatGPT often \"hallucinates\" with inaccurate answers. In addition, companies have no oversight of the questions being asked.\n\n### **✨ Our Solution**\n\n1\\. **Fine-tune** the LLM based on your data dictionary and metrics definitions. The agent will self-improve upon users' feedback and corrections\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/57721199-8881-4b54-a514-df2a0cf01770)\n\n2\\. Human-like **analytics** **agent** that can clarify your question, answer it with relevant visualizations, and help you to drill down to uncover more insights, all through natural language\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/b5ab39eb-f87b-41c6-9f31-704d71050c3a)\n\n3\\. Build **reports** with AI-generated insights\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/ab52f79c-13b6-400e-9931-e7fe2778cdb0)\n\n4\\. Save your charts into a **dashboard** and track your key metrics in one place\n\n![uploaded image](/media/?type=post&id=80234&key=user_uploads/557708/7c2a48ad-8ff0-407d-8ae5-76aca04df540)\n\n5\\. 🔒 Enterprise-level security: You can self-host Brewit in your environment, select your preferred LLM, and integrate with your favorite IM such as Slack\n\n### **🙏 Ask**\n\nWe're live with customers now! Feel free to book a [time](https://brewit.ai/contact) or email [leo@brewit.ai](mailto:leo@brewit.ai) to see a demo.\n\nGive Brewit a [try](https://app.brewit.ai/) - we've connected a demo database for you to play around with the app :)\n\nConnect us to data and analytics leaders in your network!", "url": "https://www.ycombinator.com/launches/Ks6-brewit-your-ai-analyst-who-answers-your-data-questions-in-seconds", "votes": 31, "created_at": "2024-04-17T03:54:55.149Z" } ] }, { "id": 27825, "name": "CreatorML", "slug": "creatorml", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b90e2d2f63ae83d85e896853794c55a507ba363.png", "website": "https://creatorml.com/", "all_locations": "New York City, NY, USA", "long_description": "CreatorML builds predictive AI for video virality to help businesses scale their social media strategy. 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I help YouTubers grow by choosing better ideas, titles, and thumbnails using cutting-edge AI/ML. Ex-GoogleAI Machine Learning Research. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/cweill/", "x_url": "https://twitter.com/charlesweill", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4ae1530922f24f10b74c13bc79afe2ba17da15c1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70111, "title": "CreatorML - ML-Powered Predictive Analytics for YouTube Creators", "tagline": "We help YouTubers choose better topics, titles, and thumbnails to make more money.", "body": "Howdy, [**Charles Weill**](https://www.linkedin.com/in/cweill/) here! 👋🏼\\\n\\\nI’m the founder of [**CreatorML**](https://creatorml.com/), a ML-powered web-based tool _and_ Chrome Extension that helps YouTube Creators predict which topics, titles, and thumbnails will get the most views before they upload.\n\nFor context, prior to June 2022, YouTube paid out over $50B in advertising rev-share to its creators.\n\n### The Problem\n\n* Success on YouTube is determined by views, yet creators have no way of quantifying the number of views their videos will receive.\n* To try and uncover the winning formula, many churn through as many videos as possible and quickly burn out.\n* YouTubers are drowning in analytics data, but only the largest creators can afford to hire data science teams to get actionable insights.\n* The biggest determinant of success on YouTube is the quality of topics, titles, and thumbnails.\n\n### Our Solution:\n\n* We developed a proprietary machine learning algorithm that analyzes millions of video datapoints to create a reliable, scalable predictive model.\n\n ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/7f575fb2-03c9-4d68-9b09-dea25839a408)\n\n* Our view predictors allows creators to understand how small changes like reducing the character count of a title, or changing the colors of a thumbnail image can make a meaningful difference in video views.\n* By removing bias when creators select a title and thumbnail, CreatorML ensures long-form videos are objectively packaged to attract and engage the largest audience possible. \n* While CreatorML is starting with topics, titles and thumbnails, our vision is to create a complete predictive ecosystem that guides creators through every step of the creative process.\n\n### The Team\n\n* Before founding CreatorML, I was technical lead in applied machine learning at Google Research for 7 years, using deep learning to improve critical algorithms in Cloud AutoML, Ads, Search, and YouTube.\n* I’m also a part-time [YouTube Creator](https://www.youtube.com/channel/UCjDKKm48cjwdPvM38Kk1_-w).\n* I realized that I found a pain point when I began [tweeting about simple analyses of YouTube analytics data](https://twitter.com/CharlesWeill/status/1535310836926922752), and many of the biggest YouTubers in the industry began following me.\n\n ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/6ad9c037-1b31-4779-89cb-87e65e2a7c97)\n\n\n### How You Can Help:\n\n* Try our demo to get view predictions for channels such as [MrBeast](https://creatorml.com/channels/2563/ranker/), [Aphmau](https://creatorml.com/channels/437/ranker/), and [MKBHD](https://creatorml.com/channels/468/ranker/).\n* If you’re a YouTube Creator with over 100,000 subscribers, let’s connect at [founders@creatorml.com](mailto:founders@creatorml.com), and I’ll onboard you with a custom view predictor for your channel.\n* If you’re not a YouTuber, you should download our [Chrome Extension for YouTube](https://chrome.google.com/webstore/detail/creatorml-for-youtube/flcnlfhmbofndllkfdnkkbcbopllimfb). It’s totally free, and shows you when YouTubers change their titles and thumbnails, so you can learn what works and what doesn’t for when you begin making your own content:\n\n ![uploaded image](/media/?type=post&id=70111&key=user_uploads/11191/7926c1f9-565e-4732-afef-0162003440e7)\n\n", "url": "https://www.ycombinator.com/launches/IEp-creatorml-ml-powered-predictive-analytics-for-youtube-creators", "votes": 109, "created_at": "2023-03-10T02:37:51.838Z" } ] }, { "id": 27846, "name": "PoloTab", "slug": "polotab", "former_names": [ "PoloPay", "Polo", "PoloPay", "Polo" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/125206d3d51ae1a0a9e8a0446836031dcecb557a.png", "website": "https://polotab.com", "all_locations": "Mexico City, CDMX, Mexico", "long_description": "The ecosystem coffee shops and restaurants in Mexico run on.\r\n\r\nFrom point of sale, to inventory management, payments and much more for the most demanding. \r\n\r\nOur tech is as user-friendly as an iPhone, yet powerful enough to power Starbucks. \r\n\r\nPoloTab is led by a team driven by the vision that things should be different, with the skills to make it happen. We were born from the food & beverage industry and are here to make a difference, not merely be part of the crowd.", "one_liner": "Restaurant software that actually works", "team_size": 18, "industry": "B2B", "subindustry": "B2B", "launched_at": 1673740327, "tags": [ "SaaS", "Payments", "B2B", "Analytics", "Food Tech" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B" ], "regions": [ "Mexico", "Latin America" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/polotab", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/polotab.json", "year_founded": 2022, "city": "Mexico City", "country": "MX", "linkedin_url": "https://www.linkedin.com/company/81905131/admin/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/polopay", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/125206d3d51ae1a0a9e8a0446836031dcecb557a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 961325, "full_name": "Andres Richardson", "title": "Founder", "founder_bio": "Co-Founder and COO at PoloPay (W23). Studied industrial engineering at the University of Michigan. Ex-Business Consultant. Enjoys playing and watching sports, traveling, and food.", "is_active": true, "linkedin_url": "http://www.linkedin.com/in/andres-richardson-41411a167", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c33731e5420344de5d69c0ebce4ff4f54fa198ee.jpg" }, { "user_id": 432921, "full_name": "Juan Chomali", "title": "Founder", "founder_bio": "Co-Founder and CTO at Polo (W23). Chilean. Started coding at 12. Mechanical engineer and economist. Ex-Goldman. PNAS published author. Loves mountaineering and cooking.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jchomali", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/249c98b46e938865984b619e80c733ba9ddb4b4a.jpg" }, { "user_id": 961294, "full_name": "Aldo Piaggio", "title": "Founder", "founder_bio": "Co-Founder and CEO at Polo (W23). I am a designer, an ex-Goldman Sachs IBD Analyst, and an industrial engineer from the University of Michigan. I love cigars, coffee, and LPs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aldo-piaggio-59227418b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8820a2841b75bf6466eb2b9090656bdfcbb6fea7.jpg" } ], "jobs": [ { "id": 88479, "title": "Sales & Business Development Representative", "url": "https://www.ycombinator.com/companies/polotab/jobs/nuykmZk-sales-business-development-representative", "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$15K - $72K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 115427, "title": "Product Designer", "url": "https://www.ycombinator.com/companies/polotab/jobs/gmucbkK-product-designer", "location": "Mexico City, CDMX, MX / Mexico City, Mexico City, MX", "type": "Full-time", "role": "Design", "role_type": "Product design", "salary_range": "$1K - $5K / monthly", "equity_range": "", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [ "Figma", "Illustrator" ] } ], "news": [], "launches": [ { "id": 70252, "title": "🅿️PoloPay - Dynamic menus for LatAm restaurants and coffee shops", "tagline": "PoloPay is a dynamic menu, order and payment software for LatAm restaurants and coffee shops.", "body": "### ☕️**TL;DR:**\n\nPoloPay is a dynamic menu that allows guests to order food and drinks, split, tip, and pay the bill in seconds helping LatAm restaurants and coffee shops automate manual tasks and increase sales.\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/ea4d9bbb-cb80-4b59-92d7-cf405e76fe79)\n\n### 🌯**Founding Team**\n\nWe are Aldo, Andres, and Juan, the team behind PoloPay!\n\n[Aldo Piaggio](https://www.linkedin.com/in/aldo-piaggio-59227418b/) **(CEO)** is from Honduras, an Industrial Engineer from the University of Michigan with a minor in Economics, passed the CFA Level 1, an ex-Goldman Sachs IBD analyst, designs since the age of 14, and is the third-generation of a family involved in the food & beverage industry since 1972.\n\n[Andres Richardson](https://www.linkedin.com/in/andres-richardson-41411a167/) **(COO)** is from Mexico, a Summa Cum Laude Industrial Engineer from the University of Michigan, and an ex-business consultant whose work ranges from industrial production & logistics optimization to organizational restructuring in various industries.\n\n[Juan Chomali](https://www.linkedin.com/in/jchomali/) **(CTO)** is from Chile, creator of Boreal, the most downloaded and used Hacker News client for iPhone in 2016 until Apple took it down, a Mechanical Engineer and Economist from the University of Michigan, PNAS Co-Author, an ex-Goldman Sachs STRATS, and started coding at the age of 12. \n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/ac91ccc3-b653-4211-8be3-a5f9f80943d9)\n\n### 👨🏼‍🍳**The “Why?”**\n\n**The dining experience** has been the same for decades. You sit down, stare at a menu, look around wondering what others at the venue like, and a few “Uhmmm”s later, staff comes around to take an order you are still not even sure about. Splitting and paying the bill is a tedious waiting game, and tipping staff is close enough to a math exam. **What could be done in a few seconds, takes several minutes.**\n\n**A coffee shop is no different**. Join the line and wait a few minutes until it's your turn to go “Uhmmm”, just like everyone before you. Finally you get to sit down, and start sipping. Did you just run out of that delicious matcha latte? Stand up, and wait on line again!\n\n**What’s frustrating for guests is wasteful for venues.** Restaurants, coffee shops, and hospitality venues alike have seen their margins shrink well before covid, especially small and medium venues. They operate in an industry where costs are highly volatile, staff turnover rate is a staggering 75% (higher than any other industry), and guest preferences are quickly changing. \n\nResources are limited, especially for these venues. **So how does PoloPay help?**\n\n### 🫗**Our approach**\n\nWe built an easy-to-use tool that **restaurants love**. PoloPay improves how teams and staff manage their menus, fulfill orders, and collect payments. \n\n**To help venues sell more,** our QR codes expose guests to beautiful pictures of dishes and the perfect drink pairing. PoloPay makes it as easy as possible to order that next dirty martini while giving staff a breather during peak hours; eliminating unattended parties and decreasing checkout times to seconds. **We seek to perfectly complement the warmth of hospitality.**\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/f79e41b8-9451-48d3-90f1-863eadda2878)\n\n**Are costs increasing?** Venues can adjust menu prices or food offerings, instantly charge for them, and forget the need to spend on reprints or waiting for new menus to arrive. **PoloPay also leverages data** to help capture guests' preferences, identify new areas of opportunity, and surprise guests on their next visit. Automatic language translations, powerful availability and pricing scheduling, 86-ing, and in-menu promos are a few other reasons why chefs, staff, and owners love us.\n\n![uploaded image](/media/?type=post&id=70252&key=user_uploads/961294/4d22eff1-056e-4079-a89d-0f201144c2a4)\n\nBeautiful experiences are at the core of what we build. We aim to grant guests a seamless experience and give much-needed control back to restaurant teams. We are not “X for LatAm”, **we are PoloPay**.\n\n### 🍽️**Our ask**\n\nIf you, or someone you might know, manages a restaurant or coffee shop, [reach out!](https://polopay.co/demo) **We would love to start working with your venue and would appreciate any warm intros too.** [Sign up](https://polopay.co/demo) before April 1st and enjoy a 50% discount during your first two months!", "url": "https://www.ycombinator.com/launches/IH6-polopay-dynamic-menus-for-latam-restaurants-and-coffee-shops", "votes": 498, "created_at": "2023-03-14T00:58:35.798Z" } ] }, { "id": 27868, "name": "Outerbase", "slug": "outerbase", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7ffc83c79c7fc5268f3ebcb40e602151effc32b.png", "website": "https://www.outerbase.com", "all_locations": "Pittsburgh, PA, USA; San Francisco, CA, USA; Remote", "long_description": "Outerbase is the interface for your database. Companies use Outerbase to view, edit, and modify their data and even generate beautiful visual dashboards without having to write a single line of SQL.", "one_liner": "The interface for your database", "team_size": 4, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1673832882, "tags": [ "Developer Tools", "Generative AI", "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/outerbase", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/outerbase.json", "year_founded": 2022, "city": "Pittsburgh", "country": "US", "linkedin_url": "https://www.linkedin.com/company/outerbase", "x_url": "https://www.twitter.com/outerbase", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/outerbase", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e7ffc83c79c7fc5268f3ebcb40e602151effc32b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1247130, "full_name": "Brandon Strittmatter", "title": "Founder", "founder_bio": "Brandon is co-founder of Outerbase, the interface for your database. Modern teams use Outerbase to view, edit, query, visualize, and share their data. Prior to co-founding Outerbase, Brandon led design for DigitalOcean's managed solutions (App Platform, Serverless, and DBaaS (Database as a Service), and was the founding designer of Containership, a startup building a multi-cloud Kubernetes platform.", "is_active": true, "linkedin_url": "https://linkedin.com/in/brandonstrittmatter", "x_url": "https://www.twitter.com/burcs", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b75559606ef38a37cbdc92a165ab1b5950adb763.jpg" }, { "user_id": 505802, "full_name": "Brayden Wilmoth", "title": "Founder", "founder_bio": "Brayden is a co-founder of Outerbase, the interface for your database. Prior to founding Outerbase, Brayden was a software engineering manager at Walmart leading multiple teams of engineers on various platforms for the native applications and web experiences. At his time there he guided teams in making key data-driven decisions, in which he took his experience from to assist in building Outerbase.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brayden-wilmoth/", "x_url": "https://twitter.com/BraydenWilmoth", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/30c5b71e48d1a39556079a95091351ba214bedd7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69291, "title": "👾 Outerbase – Interface for your database", "tagline": "Outerbase is the easiest way for you and your team to securely access your data.", "body": "Hi everyone – we are Brandon & Brayden from Outerbase.\n\n**📚 TL;DR**\n\nCurrent database tooling is poorly designed and historically been targeted solely at developers. Outerbase is a modern platform that allows you and your entire team to view the data you need whether it be in Postgres, MySQL, Snowflake, BigQuery or more.\n\n### \n\n**🪨 The Problem**\n\nGetting access to your data is hard. Typically there are only a few people who hold the keys to it at any given company and they quickly become a bottleneck on data requests. The tooling around it is outdated and poorly designed, and not intended for the modern collaborative work environments.\n\n![uploaded image](/media/?type=post&id=69291&key=user_uploads/1247130/86c6422c-a53c-41d7-a9fa-10c9e5362450)\n\n### \n\n**⚒️ Our Solution**\n\nOuterbase provides an intuitive interface with granular access to your data. It has a familiar spreadsheet-like experience that anyone can use. Outerbase’s EZQL provides a sql-less experience through the use of GPT-3. You can take those same queries and create beautiful dashboards all in one experience.\n\n### \n\n**⚙️ How Outerbase Works**\n\nWe sit on top of most relational database types, including Postgres, MySQL, Redshift, BigQuery, and Snowflake. You simply provide your database credentials and Outerbase gives you a spreadsheet-like experience to view, edit, query, and visualize your data. Since access is based on your credentials you can easily control how granularly your team accesses your data. Our EZQL feature is powered by OpenAI and takes your databases schema and structures your questions/queries based on it.\n\n![uploaded image](/media/?type=post&id=69291&key=user_uploads/1247130/8bf0e1cb-0788-47a1-84aa-8d91e6652aad)\n\n### \n\n**🙋 Asks**\n\nTry Outerbase, simply [sign up](https://app.outerbase.com/signup) and get started with our demo database, or add your own database credentials in the connections tab. You can also [download](http://app.outerbase.com/downloads/Outerbase.dmg) our mac app.\n\nIf you know of anyone trying to kick off the process of making data-driven decisions but doesn’t know where to start, please intro them to us!\n\nJoin our Slack [community](https://join.slack.com/t/outerbasecommunity/shared_invite/zt-1ple7fhsg-2z6MIC_P4fzdrKe1koJ7kQ).\n\nAnd, if you have 15 minutes to chat about your pain points accessing your data please book some time [here](https://calendly.com/outerbase/demo).", "url": "https://www.ycombinator.com/launches/I1b-outerbase-interface-for-your-database", "votes": 86, "created_at": "2023-02-14T23:19:39.388Z" } ] }, { "id": 27870, "name": "Langfuse", "slug": "langfuse", "former_names": [ "Finto", "langfuse" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3e0acd0e4d5b3b53104245ec4f7548555f11896.png", "website": "https://langfuse.com", "all_locations": "Berlin, Berlin, Germany", "long_description": "Traces, evals, prompt management and metrics to debug and improve your LLM application.\r\nOnboard via https://langfuse.com\r\n\r\nLangfuse helps you build and improve LLM applications across the entire lifecycle: \r\n- Develop: Observability, Langfuse UI & Prompt Management\r\n- Monitor: Traces, Analytics, Metrics & Evaluations\r\n- Test: Experiments, Releases & Datasets\r\n\r\nWe are hiring: https://langfuse.com/careers\r\n\r\nLangfuse joined Clickhouse in Jan 2026 where the founders now continue to build the team.", "one_liner": "Open source LLM engineering platform", "team_size": 26, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1673911015, "tags": [ "Developer Tools", "Generative AI", "Analytics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Germany", "Europe", "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/langfuse", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/langfuse.json", "year_founded": 2022, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/langfuse", "x_url": "https://twitter.com/langfuse", "fb_url": null, "cb_url": null, "github_url": "https://github.com/langfuse/langfuse", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d3e0acd0e4d5b3b53104245ec4f7548555f11896.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a19a4b0f2f343ddcb687df3d09f4dbbc3a75500e.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/133f4b1d73f1af1d0f963426bdb8600b1059b396.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 860580, "full_name": "Marc Klingen", "title": "Founder/CEO", "founder_bio": "Marc has diverse experience across Product, Sales, Business Intelligence and full-stack engineering at companies from large (Google, DHL) to early stage startups. He graduated within the top 1% of his Masters in Management and Computer Science from Technical University Munich. Besides that, he loves to hack on personal project and connect with other builders (something he does not get to too much right now).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marcklingen/", "x_url": "https://twitter.com/marcklingen", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/dd46310738491a63c921865cf5e9b89a189ad725.jpg" }, { "user_id": 1156994, "full_name": "Maximilian Deichmann", "title": "Founder", "founder_bio": "Max built trading systems at European 5bn Fintech, Trade Republic. He knows the ins and outs of building reliable, scalable systems to handle our customers’ most critical business processes. While Max started out studying Management in undergrad, he quickly found his love for computer science and transitioned into engineer self-taught and with a graduate degree.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/maxdeichmann/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c4eb3902bf32f61df34a8bb19d0942ae2809d624.jpg" }, { "user_id": 1148936, "full_name": "Clemens Rawert", "title": "Founder", "founder_bio": "co founder of langfuse with max & marc!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rawert/", "x_url": "https://twitter.com/rawert", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0dc62d0e6b79c2d284807a0ffb4048c3b981684.jpg" } ], "jobs": [], "news": [ { "title": "ClickHouse welcomes Langfuse: The future of open-source LLM observability", "url": "https://clickhouse.com/blog/clickhouse-acquires-langfuse-open-source-llm-observability", "date": "Jan 15, 2026" }, { "title": "Langfuse raised $4M - Langfuse Blog", "url": "https://langfuse.com/blog/announcing-our-seed-round", "date": "Nov 07, 2023" }, { "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch", "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/?guccounter=1", "date": "Sep 06, 2023" }, { "title": "Show HN: Langfuse - Open-source observability and analytics for LLM apps", "url": "https://news.ycombinator.com/item?id=37310070", "date": "Aug 29, 2023" } ], "launches": [ { "id": 87195, "title": "🪢 Langfuse - The Open-Source LLM Engineering Platform", "tagline": "Langfuse helps teams collaboratively monitor, evaluate and debug their LLM applications.", "body": "![](https://lh7-qw.googleusercontent.com/docsz/AD_4nXdIAXpWtb7lK2NRs0-3d-GTPHW5YYMdHGsiSgqV4j4hVw8eb5PJXfszk16m2ROBoKOfyjOWlOtlk3adorGG4L49KTClDdTo5Yv6_k-iBdhbSFgnsKTQBa5e4Cp5kaDnmRlWccSKWQ?key=X_meTBjiqstYzDfMfZ-Cj7Hg)\n\n[Langfuse](https://langfuse.com) is the open-source LLM engineering platform designed to help teams build production-grade LLM applications faster. We started building Langfuse in SF during Y Combinator's W23 batch - just when GPT 4 was initially released. \\\n**Today, Langfuse is used by tens of thousands of developers and is one of the **[**most popular LLMOps platforms globally**](https://langfuse.com/blog/2024-11-most-used-oss-llmops)**.**\n\n### **🤯 The Problem**\n\nBuilding production-grade LLM applications is challenging because of the probabilistic nature of LLMs and the multiple layers of scaffolding required to get complex workflows into production. \\\nDevelopers need to **debug** their applications because of increasingly complex abstractions like chains, agents with tools, and advanced prompts. Understanding how an application executes and identifying the root causes of problems can be arduous. Additionally, **monitoring costs and latencies** is crucial since LLMs can incur high inference expense and take time to respond to users, making it important to track model usage and costs across applications.\n\nAssessing the **quality of LLM outputs** also poses challenges. Outputs may be inaccurate, unhelpful, poorly formatted, or hallucinated, complicating the process of ensuring reliability and accuracy. Quickly **identifying and debugging issues** in complex LLM applications is essential but often difficult. Furthermore, building high-quality datasets for fine-tuning and testing requires capturing the full context of LLM executions..\n\n### **✅ Our Solution**\n\n \n\nLangfuse addresses these challenges by providing an open-source platform to debug and improve LLM applications. \\\nLangfuse captures the **full context of your application**, tracing the complete execution flow—including API calls, retrieved context, prompts, parallelism, and more. By enabling **hierarchical representations through nested traces**, Langfuse helps you understand complex logic built around LLM calls. Langfuse also offers **full **[**multi-modal**](https://langfuse.com/changelog/2024-11-20-full-multi-modal-images-audio-attachments)** support**, including audio, images, and attachments.\n\n**Langfuse measures cost and latency**, breaking down metrics by user, session, feature, model, and prompt version, allowing for detailed analysis. To assess output quality, Langfuse facilitates the collection of **user feedback**, performs automated **LLM-as-a-judge evaluations**, and supports manual **data labeling** within the platform. It also offers [**prompt management**](https://langfuse.com/docs/prompts/get-started) features, allowing you to handle prompts effectively and perform [**prompt experiments**](https://langfuse.com/changelog/2024-11-22-prompt-experimentation) over new ideas and systematically track success.\n\nFor testing and experimentation, Langfuse supports **versioning your application** and running tests of **expected inputs and outputs** via curated **datasets**. This provides quantitative insights into the impact of changes, helping you understand and improve your LLM applications more effectively.\n\n### **🎬 Getting Started (Tracing OpenAI with Langfuse):**\n\nBelow is a brief example highlighting how you can integrate with Langfuse. You can also try out Langfuse through our interactive live demo or our walkthrough video - more [here](https://langfuse.com/docs/demo)**.**\n\n_(Not using OpenAI? Langfuse can be used with any model or framework through our _[_Python Decorator_](https://langfuse.com/docs/sdk/python/decorators)_ and _[_JS-TS SDK_](https://langfuse.com/docs/sdk/typescript/guide)_. Langfuse also natively integrates with popular frameworks such as _[_Langchain_](https://langfuse.com/docs/integrations/langchain/tracing)_, _[_LlamaIndex_](https://langfuse.com/docs/integrations/llama-index/get-started)_, _[_LiteLLM_](https://langfuse.com/docs/integrations/litellm/tracing)_ and _[_more_](https://langfuse.com/docs/integrations/overview)_. )_\n\n#### Step 1: Create a New Project in Langfuse\n\n1. Sign up for [Langfuse Cloud](https://cloud.langfuse.com) or [self-host](https://langfuse.com/docs/deployment/self-host) Langfuse OSS.\n2. Create a new project within Langfuse.\n3. Generate API credentials via the project settings.\n\n#### Step 2: Log Your First LLM Call to Langfuse\n\nThe [@observe() decorator](https://langfuse.com/docs/sdk/python/decorators) makes it easy to trace any Python LLM application. In this quickstart, we use the Langfuse [OpenAI integration](https://langfuse.com/docs/integrations/openai) to automatically capture all model parameters such as cost and token usage.\n\n```\n%pip install langfuse openai\n```\n\n```\n# Get keys for your project from the project settings page https://cloud.langfuse.com\nos.environ[\"LANGFUSE_SECRET_KEY\"] = \"sk-lf-...\"\nos.environ[\"LANGFUSE_PUBLIC_KEY\"] = \"pk-lf-...\"\nos.environ[\"LANGFUSE_HOST\"] = \"https://cloud.langfuse.com\" # 🇪🇺 EU region\n# os.environ[\"LANGFUSE_HOST\"] = \"https://us.cloud.langfuse.com\" # 🇺🇸 US region\n```\n\n```\nfrom langfuse.openai import openai # OpenAI integration\nfrom langfuse.decorators import observe\n\n@observe() # Langfuse decorator\ndef story():\n return openai.chat.completions.create(\n model=\"gpt-3.5-turbo\",\n messages=[\n {\"role\": \"system\", \"content\": \"You are a great storyteller.\"},\n {\"role\": \"user\", \"content\": \"Once upon a time in a galaxy far, far away...\"}\n ],\n ).choices[0].message.content\n \n@observe()\ndef main():\n return story()\n \nmain()\n```\n\n#### Step 3: See your Traces in Langfuse\n\n![](https://lh7-qw.googleusercontent.com/docsz/AD_4nXfbJGtoDrEGUKAM8Kiim08yIkwLNR25bUtH6Mlr9H49lIdQUkwr9yVQhC1Q06Y8IMaGDte-likn20DUIo1_eGST64FC4RO1VREZdF24OxrTTV3yYL9EmV6xBxXmCiSN01ucH-_zPA?key=X_meTBjiqstYzDfMfZ-Cj7Hg)\n\nLog into the [Langfuse UI](https://cloud.langfuse.com/) to view the created trace. You can now take it further by managing your prompts through Langfuse or by starting to test or evaluate your LLM executions (more below).\n\nSee this example trace in the Langfuse UI: [_https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/fac231bc-90ee-490a-aa32-78c4269474e3_](https://cloud.langfuse.com/project/cloramnkj0002jz088vzn1ja4/traces/fac231bc-90ee-490a-aa32-78c4269474e3)\n\n### **🏃 Now what?**\n\nAfter you are set up in Langfuse you can now:\n\n* **Evaluate** the quality of your application through\n * [User feedback](https://langfuse.com/docs/scores/user-feedback)\n * [Data Labeling](https://langfuse.com/docs/scores/annotation)\n * [LLM-as-Judge Evals](https://langfuse.com/docs/scores/model-based-evals)\n * [Custom Evaluators](https://langfuse.com/docs/scores/custom)\n* Run **Tests & Benchmarks** by\n * [Curating Datasets](https://langfuse.com/docs/datasets/overview)\n * [Conducting Prompt Experiments](https://langfuse.com/docs/datasets/prompt-experiments)\n* **Analyze and collate statistics** on your app with\n * [LLM analytics](https://langfuse.com/docs/analytics/overview)\n * [Intent Classification](https://langfuse.com/docs/analytics/example-intent-classification)\n * [Posthog Integration](https://langfuse.com/docs/analytics/posthog)\n* **Develop faster** by utilizing\n * [Prompt Management](https://langfuse.com/docs/prompts/get-started)\n * [Prompt Playground](https://langfuse.com/docs/playground)\n\n### **👇 Interested in learning more?**\n\n* ⭐️ Star us on [GitHub](https://github.com/langfuse/langfuse/) + follow along on [Twitter](https://twitter.com/langfuse) & [LinkedIn](https://www.linkedin.com/company/langfuse).\n* 👨‍💻 [Getting Started](https://docs.langfuse.com/)\n* [👷 How did we build Langfuse?](https://langfuse.com/blog/2024-12-langfuse-v3-infrastructure-evolution)\n* PS: [We’re Hiring!](https://langfuse.com/careers)", "url": "https://www.ycombinator.com/launches/MgN-langfuse-the-open-source-llm-engineering-platform", "votes": 18, "created_at": "2025-01-27T15:36:38.074Z" }, { "id": 73214, "title": "🪢 Langfuse - Open-source product analytics for LLM apps", "tagline": "Track quality, cost and latency of your LLM apps", "body": "⭐ Star us on [**_Github_**](https://github.com/langfuse/langfuse/) & follow us on [**_Twitter_**](https://twitter.com/langfuse)\n\n**_TLDR_**_: _[**_Langfuse_**](https://www.langfuse.com/?utm_source=LaunchYC)_ is building open-source product analytics (think ‘Mixpanel’) for LLM apps. We help companies to track and analyze quality, cost and latency across product releases and use cases._\n\n![uploaded image](/media/?type=post&id=73214&key=user_uploads/1148936/d38a4a7c-edf5-469a-ad3f-7f7aef62a3a5)\n\nHi everyone, we’re Max, Marc and Clemens. We were part of the Winter 23 batch and work on [**Langfuse**](https://www.langfuse.com/?utm_source=LaunchYC), where we help teams make sense of how their LLM applications perform. \n\n### **🤯 Problem**\n\nLLMs represent a new paradigm in software. Single LLM calls are probabilistic and add substantial latency and cost. Applications use LLMs in new ways via advanced prompting, embedding-based retrieval, chains, and agents with tools. Teams building production-grade LLM applications have new **product analytics** and **monitoring** needs:\n\n* **Quality of outputs** is difficult to measure. Outputs can e.g. be inaccurate, unhelpful, poorly formatted, hallucinated or error.\n* **Cost of compute** is a priority again given high inference costs.\n* **Latency** of responses matters for synchronous use cases.\n* **Debugging is challenging** due to increasingly complex LLM applications (chains, agents, tool usage).\n* **Understanding user behavior** is difficult given open-ended user prompts and conversational interactions.\n\n### **🧠 Solution**\n\n![uploaded image](/media/?type=post&id=73214&key=user_uploads/1148936/75e00e56-33fa-4484-bf63-4bdf0394049d)\n\nLangfuse derives actionable insights from production data. Our customers use Langfuse to answer questions such as: _‘How helpful are my LLM app’s outputs? What is my LLM API spend by customer? What do latencies look like across geographies and steps of LLM chains? Did the quality of the application improve in newer versions? What was the impact of switching from zero-shotting GPT4 to using few-shotted Llama calls?’_\n\n**Metrics**\n\n* **Quality** is measured through user feedback, model-based scoring and human-in-the-loop scored samples. Quality is assessed over time as well as across prompt versions, LLMs and users.\n* **Cost and Latency** are accurately measured and broken down by user, session, geography, feature, model and prompt version.\n\n**Insights**\n\n* Monitor quality/cost/latency **tradeoffs** by release to facilitate product and engineering decisions.\n* **Cluster use cases** by employing a classifier to understand what users are doing.\n* Break down **LLM usage by customer** for usage-based billing and profitability analysis.\n\n**Integrations**\n\n* Python and Typescript SDKs to easily monitor complex LLM apps\n* Frontend SDK to directly capture feedback from users as a quality signal\n\n_Langfuse can be self-hosted or used with a generous free tier in our managed cloud version._\n\n### **🚧 Debugging UI**\n\n![uploaded image](/media/?type=post&id=73214&key=user_uploads/1148936/8d29b87f-8426-4eb1-be4e-6efbf9d4769f)\n\nBased on the ingested data, Langfuse helps developers debug complex LLM apps in production:\n\n* Inspect LLM app executions in a nested UI for chains, agents and tool usage.\n* Segment by user feedback to find the root cause of quality problems.\n\n### **🙏 Asks**\n\nStar us on [**GitHub**](https://github.com/langfuse/langfuse/) + follow along on [**Twitter**](https://twitter.com/langfuse) & [**LinkedIn**](https://www.linkedin.com/company/langfuse).\n\n* If you run an LLM app, go ahead and [**talk to us**](https://cal.com/marc-kl/langfuse-analytics), we’d love to see how we can be helpful.\n* Please forward [**Langfuse**](https://www.langfuse.com/?utm_source=LaunchYC) to **teams building commercial LLM applications**.", "url": "https://www.ycombinator.com/launches/J2s-langfuse-open-source-product-analytics-for-llm-apps", "votes": 28, "created_at": "2023-07-19T14:33:30.177Z" } ] }, { "id": 27919, "name": "Helicone", "slug": "helicone", "former_names": [ "Prompt Zero", "TableTalk", "Valyr" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fd0f837e64cef0930fd804e4345c0342b9a2827.png", "website": "https://www.helicone.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Helicone.ai is creating an advanced observability platform tailored for developers working with Large Language Models (LLMs). Our goal is to simplify and enhance the operational side of deploying these models, making it easier for developers to monitor, manage, and optimize their AI applications at scale. Helicone provides a unified view of performance, cost, and user interaction metrics for various LLM providers, like OpenAI, Anthropic, and LangChain, empowering developers to make their LLM deployments more efficient, reliable, and cost-effective.\r\n\r\n### Key Features\r\n\r\n1. **Centralized Observability**: Our platform captures and visualizes detailed logs and metrics across all LLM deployments. With tools for prompt management, performance tracing, and debugging, Helicone provides real-time insights into the inner workings of your LLMs.\r\n\r\n2. **LLM Performance Optimization**: Helicone supports prompt experimentation, success rate tracking, and fine-tuning, allowing you to continuously improve response quality and efficiency. This level of insight makes it easier to deliver high-performing, cost-effective AI applications.\r\n\r\n3. **Flexible Data Management**: We understand that data privacy is critical. Helicone supports deployment options for dedicated instances, hybrid cloud integrations, or self-hosted environments, allowing clients to maintain control over their data and ensuring compliance with privacy standards.\r\n\r\n### Built for Developers and Data Scientists\r\n\r\nHelicone is designed to meet the needs of engineers and data scientists who require transparency and control over their LLMs. From chatbots to document processing systems, Helicone equips you with the insights needed to track costs, understand user interactions, and optimize outputs—all from one intuitive platform.\r\n\r\nBy combining observability with LLM-specific insights, Helicone is redefining AI monitoring, empowering developers to deploy and scale their AI models with confidence.", "one_liner": "LLM Observability for Developers", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1675832219, "tags": [ "AIOps", "Developer Tools", "Analytics", "Open Source" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Acquired", "industries": [ "B2B", "Analytics" ], "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/helicone", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/helicone.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/92878545", "x_url": "https://twitter.com/helicone_ai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/helicone", "github_url": "https://github.com/Helicone/helicone", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0fd0f837e64cef0930fd804e4345c0342b9a2827.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1178880, "full_name": "Justin Torre", "title": "Founder/CEO", "founder_bio": "Justin is the founder of Helicone, a company dedicated to improving the lives of developers using LLMs. With 5+ years of experience tinkering and hacking on various projects, Justin has honed his technical skills and understands the critical elements of good software infrastructure.\n\nBefore starting Helicone, Justin was a developer evangelist and teacher at Apple, where he developed a deep passion for supporting developers and their success. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/justintorre/", "x_url": "https://twitter.com/justinstorre", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/462b226661ccd47ff9b2af84b4a222ba7dbd1c36.jpg" }, { "user_id": 1203799, "full_name": "Barak Oshri", "title": "Founder", "founder_bio": "Barak is a co-founder at Helicone. Previously, he was a machine learning engineer at Sisu Data building scalable machine learning workflows for enterprise customers. Before that, he did research at the Stanford AI Lab and was a teaching assistant at Stanford, where he graduated from his MS and BS degrees. In his spare time, Barak bikes around the bay and sits for long hours at coffee shops.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/boshri/", "x_url": "https://twitter.com/barakoshri", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9a0e6414fc92986720b17bc028dc9f4ae9c055d0.jpg" }, { "user_id": 1180638, "full_name": "Scott Nguyen", "title": "Founder", "founder_bio": "https://www.scottn.dev/", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/snguy/", "x_url": "https://twitter.com/NguyenScott7", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0afb45f0cedb8142b1f050e548c5f5461895c6a7.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69629, "title": "Helicone - Open-source observability platform for generative AI", "tagline": "Log requests made to OpenAI and track costs, result quality, and latency with one line of code", "body": "**TL;DR Instead of building tools to monitor your generative AI product, use Helicone to get instant observability of your requests.**\n\nHey everyone, we are the team behind [Helicone](http://www.helicone.ai/).\n\n**Scott** brings UX and finance expertise: 4+ years across Tesla, Bain Capital, and DraftKings.\n\n**Justin** brings platform and full-stack expertise: 7+ years across Apple 🍎, Intel, and Sisu Data.\n\nWe’re on a mission to make it extremely straightforward to **observe** and **manage** the use of language models.\n\n## **❌ The Problem**\n\nYou’re using generative AI in your product and your team needs to build internal tools for it:\n\n* You want an **admin mode** to **visualize** outputs, conversations, or prompt chains\n* You don’t know the **unit economics** of your product, like the average cost of a user or conversation\n* Your usage grows and you’re quickly **running into rate limits** with your provider, but your errors are opaque\n* You don’t know **when it’s time to fine-tune** your model and when you would get cost-savings from it\n\n## 🪄 **Our Solution**\n\nHelicone logs your completions and tracks the metadata of your requests. It is an analytics interface for understanding your metrics broken down by users, models, and prompts with visual cards. It caches your completions to save on bills, and helps you overcome rate limits with intelligent retry techniques.\n\n![uploaded image](/media/?type=post&id=69629&key=user_uploads/1203799/6118a1c6-83ab-4f6d-a671-6c835bda3698)\n\n## ⚙️ How it works\n\n🎩 **Integrate Helicone with one line of code**\n\nHelicone is a proxy service that executes and logs your requests, secured by Cloudflare workers around the globe to add [less than a scratch](https://docs.helicone.ai/how-it-works/latency) to your overall latency.\n\nPlug Helicone into wherever you are calling OpenAI with a [**single line of code**](https://docs.helicone.ai/quickstart/integrate-in-one-line-of-code) by changing the base URL, and immediately get a visual experience for your requests.\n\n![uploaded image](/media/?type=post&id=69629&key=user_uploads/1203799/6230af56-0e40-4c3e-a72c-996b6cc142dd)\n\n🔖 **Customize requests with properties**\n\nAppend custom information like the user, conversation or session id to group requests, then instantly get metrics like the total latency, the users disproportionately driving your OpenAI costs, or the average cost of a user session.\n\n📥 **Setup caching and retries**\n\nEasily cache your completions so that duplicate requests don’t drive up your bill. Customize your cache for your application’s unique requirements. This removes the latency overhead when you’re experimenting to make development faster.\n\nConfigure retry rules when you run into rate limits, or even route your request to another provider when your service is down.\n\n![uploaded image](/media/?type=post&id=69629&key=user_uploads/1203799/00d73946-0303-4024-9fc3-da961f05275b)\n\n## Get started **in seconds**\n\n* Try it **for free** at [helicone.ai](http://helicone.ai)\n* Book a call with the team [on our calendly](https://calendly.com/d/4hs-9jb-b96/helicone-intro)\n* Join our [Discord community](http://discord.gg/zsSTcH2qhG)\n* Email the team at [help@helicone.ai](mailto:help@helicone.ai)\n* We’re open source! Check out and support our repository at [github.com/Helicone/helicone](http://github.com/Helicone/helicone) ⭐", "url": "https://www.ycombinator.com/launches/I73-helicone-open-source-observability-platform-for-generative-ai", "votes": 52, "created_at": "2023-02-23T23:15:47.567Z" } ] }, { "id": 27950, "name": "Sherloq", "slug": "sherloq", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/303c40c74b1c65d00ba6f772b138135819922051.png", "website": "http://sherloqdata.io/", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "Companies use Sherloq as their single source of truth for their SQL on top of their existing data stack.\r\n\r\nToday, data-driven organizations face the challenge of giving 2 of their data analysts the same task and getting 2 totally different results from their analysis. Although SQL is the #1 coding language for data analysis, it is still managed independently on each user's internal documentation tools (notepads, Slack channels, or docx files).\r\nCreating one source of truth is an ongoing difficult process, that’s done manually and takes time to implement. \r\n\r\nUsing our plugin on top of our user's existing query editors, companies can now manage their SQL code in one place.\r\nWe ourselves are data users and we've built Sherloq to fit the exact needs of data teams, becoming a true alternative to the way SQL is being managed today.", "one_liner": "One place for all your queries, directly on your SQL editor", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1674678598, "tags": [ "Generative AI", "SaaS", "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Israel", "Middle East and North Africa" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sherloq", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/sherloq.json", "year_founded": 2022, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/sherloqdata/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/303c40c74b1c65d00ba6f772b138135819922051.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1123455, "full_name": "Noy Twerski", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/noy-twerski/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/570c4a28e170147e7cb796378e38c01f2c50fae6.jpg" }, { "user_id": 1151605, "full_name": "Nadav Gutman", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nadav-gutman-213637197/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9cb3e2af8dea6b2bb119e12ba856d4670db2257.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 85978, "title": "⚡🔍 Sherloq - Collaborative SQL Repository for the GenAI Era", "tagline": "One place for all your queries, directly on your SQL editor.", "body": "![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/7c98d785-c103-402b-a746-f59818b533ce)\n\n# 🔍 **TL;DR**\n\n**Sherloq is the one place for all your queries, on top of your SQL editor.**\n\nUsing the SQL repository plugin, you can collaboratively organize, save, and share your SQL code, without leaving your editor and IDE.\n\nThat means you can actually focus on what matters most - analyzing the data and creating meaningful insights for your org.\n\n[Try it out yourself for free!](https://www.sherloqdata.io/?utm_source=yc&utm_medium=launch&utm_campaign=post)\n\nWatch our quick [demo:](https://www.youtube.com/watch?v=u2Rddj6Cekg)\n\n# 🔍 **The Problem**\n\nIf you use SQL, you probably know that we **spend too much time on managing, sharing and finding our code**, and that SQL is scattered between different tools, docs, dashboards, people and even notepads.\n\nYou might relate to one of these:\n\n* Trying to remember when was the last time you ran a SQL on some ‘users_v2’ legacy table, and who might know where it is.\n* Clone, update, commit, merge, push just to change the field from “revenue” to “revenue_new.\n* Asking the company-wide Slack channel if someone can send the most updated CASE WHEN condition we talked about in yesterday’s daily.\n* Going over 252 queries in the ‘All Queries’ Docs file with cmd+f: ‘prospect_id’.\n* Getting asked from the product / marketing team, for the 6th time that week, how to filter out all ‘cohort week 7’ users from the company dashboard.\n* Waiting 45 minutes just to retrieve the custom SQL from your Tableau Dashboard for that CTE you use.\n\n**Common alternatives today aren’t built for this type of code, making each person independently manage their day-to-day SQL work.**\n\nIn the GenAI Era, SQL is becoming even more popular as everyone inside the org can easily access and use it.\n\nCompanies are actually generating more and more data and SQL, and are looking for ways to democratize it and make data as self-served as possible.\n\n_The result of all of this?_ Spending too much time on creating inconsistent SQL, that leads to inconsistent data.\n\n### \n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/1d75b0a1-ddf6-4cd6-89d4-9e1f1c30b4cb)\n\n### 🔍 **Enter Sherloq**\n\nAs we ourselves were (and are still) heavy SQL users, we were looking to create a solution that gives us just the right amount of order we need.\n\n**Something that’s actually built for this type of code:**\n\n* **Hassle free:** More organized than a Notepad / Slack channel / Notion Page, but doesn’t require any process that’s an overkill like Github.\n* **Zero integration:** It sits on top of our SQL editor but doesn’t require any integrations or have access to the data itself.\n* **Collaborative**: It has a shared workspace but also has a place for our own personal work.\n* **Built for the entire org:** Can be used by people that love data and understand it, and by those that don’t.\n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/38198f2b-19af-4822-8189-3c2fbaee628c)\n\n# 🔍 **Using Sherloq you’ll be able to:**\n\n* 📁 Create a shared SQL repository for your org and team\n* 💻 Manage your code better with reusable SQL snippets and templates\n* 🕶️ Understand your code faster with AI SQL ERD diagrams, formatting, _(coming soon)_ SQL errors explained, and query optimization\n* 📝 AI auto-documentation including SQL version control, generated query names and descriptions\n\n# 🔍 **How it works**\n\n1. Download for free the [Chrome Extension](https://chromewebstore.google.com/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk?utm_source=yc&utm_medium=launch&utm_campaign=post) / [JetBrains Plugin](https://plugins.jetbrains.com/plugin/22201-sherloq--save-share--simplify-your-queries?utm_source=yc&utm_medium=launch&utm_campaign=post) (VSCode _coming soon_!)\n2. Save your SQL, create folders, and share them with your team\n3. Use for free until you reach the saved SQL limit\n\n**✨Together with our customers and users, we’ve just finished a complete product redesign! ✨**\n\n**We’ve added new capabilities and made it 10x faster and easier to use.**\n\n🥳 To celebrate, we’re giving our YC community a [15% discount, try it out.](https://www.sherloqdata.io/?utm_source=yc&utm_medium=launch&utm_campaign=post) \\\nWe’re freemium, so you only start paying after reaching the saved SQL limit :)\n\nWe’d really love to hear what you think, check it out for free and let us know!\n\n[hello@sherloqdata.io](mailto:hello@sherloqdata.io)\n\n![uploaded image](/media/?type=post&id=85978&key=user_uploads/1123455/d8598246-3821-4165-aab2-51d4d62610fc)\n\n", "url": "https://www.ycombinator.com/launches/MMk-sherloq-collaborative-sql-repository-for-the-genai-era", "votes": 117, "created_at": "2024-12-02T18:51:37.240Z" }, { "id": 69960, "title": "⚡🔍 Sherloq: Collaborate and manage your SQL data with the power of Gen AI", "tagline": "One place for all your data team's SQL queries on top of your existing data stack", "body": "**TL;DR**\n\nSherloq is a collaborative SQL repository, like Github for data teams, that creates one source of truth for all company queries using Gen AI. With Sherloq, different data analysts are asked the same question and they always give the same answer.\n\n—\n\nHey everyone 👋 We’re [Alon (CTO)](https://www.linkedin.com/in/alon-greenfield/), [Noy (CEO)](https://www.linkedin.com/in/noy-twerski/) and [Nadav (COO).](https://www.linkedin.com/in/nadav-gutman-213637197/)\n\nWe’re happy to introduce Sherloq - the first collaborative SQL repository for data users.\n\n![uploaded image](/media/?type=post&id=69960&key=user_uploads/1123455/7976b4f2-b95d-4fbd-865a-c978601fe8cc)\n\n### 🔍 **Inconsistencies in data analysis destroy business value, and costs orgs more than $15M per year**\n\nWith the adoption of the modern data stack and while companies store endless amounts of data, data teams (analysts, scientists and engineers) spend 60% of their time trying to find, understand and manage their data. \n\n**Data analysis is still very subjective and dependent on the user creating it:**\n\n* Company business metrics are interpreted differently by each data user, and have various definitions \n* Structured data consist of hundreds of out-of-date fields with similar names, making it almost impossible to determine the most relevant fields for a particular analysis\n* Since SQL code is stored locally on each data user’s computer and isn’t reused, every data user writes code their own way regardless of company best practices\n\nThe rise of Gen AI changes the rules of the game, as now it enables us to take data explainability to a new level of clarity, a capability we only wish we had a few months back.\n\nAs we ourselves were data users in companies such as Microsoft, Walkme and 8200 the Cyber Intelligence Unit at the IDF, we’ve experienced this problem firsthand and waited for a proper solution for too long. \n\n### 🔍 **Enter Sherloq**\n\nSherloq is a collaborative SQL repository that creates one source of truth for all company queries. \n\nWe change the paradigm of how queries are stored and analyzed, with our new product capabilities and technology:\n\n1. **Zero integration and hassle free** - our add-on to any query editor, and our own SQL parser algorithm, extract the relevant queries automatically, so we know the data scheme, queries, users and usage in a click\n2. **Tailor-made data knowledge base per organization** - based on our fine tuned LLMs and by analyzing each company’s own data usage and costs, we automatically create a knowledge base within hours of download\n\nUsing Sherloq, organizations increase their data teams’ productivity by 2x and save 60% of their direct data management costs.\n\n![uploaded image](/media/?type=post&id=69960&key=user_uploads/1123455/cb7564dc-3337-4063-9f88-b8b0788e04c1)\n\n### **🔍 **[**Try**](https://chrome.google.com/webstore/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk)** our Google Chrome Extension**\n\nIf you’re tired of adding more and more tools to your data stack (like we were), our add-on sits on top of your **existing** query editor, so you don’t need to change anything in your current workflow. \n\n**After downloading, you’ll be able to:**\n\n* 🛫 Use auto-complete and co-pilot features on your own query editor\n* 🪄 Automatically generate descriptions and names for each query and table\n* 📁 Create SQL version control and shared folders\n* ⏱️ Based on our metadata analysis, you’ll get to know best practices for optimizing your queries and database\n\n### 🔍 **Don't waste another minute on unreliable data analysis**\n\n[Download](https://chrome.google.com/webstore/detail/sherloq-save-share-simpli/kjndilccgkemibeimjdefmjkhfddobfk) Sherloq! We’re offering a 50% discount until Demo Day.\n\nWe’d love to hear your thoughts and feedback, so feel free to schedule [here](https://calendly.com/noy-twerski/30-minute-meeting) or reach out to us - [noy@sherloqdata.io](mailto:noy@sherloqdata.io)", "url": "https://www.ycombinator.com/launches/ICO-sherloq-collaborate-and-manage-your-sql-data-with-the-power-of-gen-ai", "votes": 136, "created_at": "2023-03-06T14:46:00.148Z" } ] }, { "id": 27951, "name": "Honeydew", "slug": "honeydew", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/628b819928f75f1e921c92594fbcd9a7e63a91b4.png", "website": "https://honeydew.ai", "all_locations": "Tel Aviv-Yafo, Tel Aviv District, Israel", "long_description": "The way people use data is constantly changing. Data teams must support every new context without breaking the shared truth. Honeydew’s semantic layer does it automatically. We validate each change and update every data flow.\r\n\r\nUsing Honeydew, data teams can support 10x more data users - without more engineers or compromising integrity. ", "one_liner": "The home for shared data logic", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1670747027, "tags": [ "SaaS", "B2B", "Analytics", "Data Engineering" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Israel", "Middle East and North Africa", "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/honeydew", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/honeydew.json", "year_founded": 2022, "city": "Tel Aviv-Yafo", "country": "IL", "linkedin_url": "https://www.linkedin.com/company/honeydewai/", "x_url": "https://twitter.com/honeydewai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/honeydew", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/628b819928f75f1e921c92594fbcd9a7e63a91b4.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1136239, "full_name": "David Krakov", "title": "Founder", "founder_bio": "My last 20 years are in and around data and software. At the first startup I founded, Varada (acq. by Starburst), we created an acceleration engine for data lakes - helping queries run faster on huge amounts of data. Before becoming a founder, I was an early employee at XtremIO (later EMC) - which became the market leader in all-flash-storage. Even before that, I was a computer science and physics nerd. Still am.\nI live in Tel Aviv with my wife and two kids. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/david-krakov/", "x_url": "https://twitter.com/davidkrakov", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c6c2fb2d3b5ae7581f5df895e8643eb265b8403d.jpg" }, { "user_id": 1136236, "full_name": "Baruch Oxman", "title": "Founder", "founder_bio": "I have been in software for over 20 years, leading technology and engineering, and building products around data. I was the first employee of Implisit, building AI for sales. After being acquired by Salesforce, I led the architecture and engineering of Einstein for Sales.\nMy passion is traveling, cycling and finding simple solutions for complex problems.\nI live in Tel Aviv, with my wife and 2 daughters.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/baruchoxman/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/14f768338d6f6f473330eb9d5283885546392639.jpg" }, { "user_id": 1136228, "full_name": "Liron Slonimsky-Shemy", "title": "Founder", "founder_bio": "In my previous life, I worked as a script writer (and even won first prize for best drama feature), I pivoted and decided to \"produce\" my scripts in real life by opening a startup. At my first startup, Awear, we did \"Frequent-Flyer for fashion\" - We sold data to fashion companies showing how people are actually wearing their garments. \nCurrently living in Tel Aviv with my husband and our two kids - Orr and Eyal.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/liron-slonimsky-0aba3240/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66ae854df6096e8b14ca316b4f868ae7379d43d2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 70089, "title": "🍈 Honeydew - one truth to rule them all", "tagline": "We help data teams achieve consistent metrics like Revenue or Churn", "body": "# TL;DR\n\n**We are a shared source of truth for data teams living** **in the data warehouse.**\n\nWhy is it that your “daily active users” never add up to the same number in different reports? Your data team is amazing, but it’s a struggle to keep all metrics synchronized. There is no single place that enables a shared workflow and truth.\n\nHave you ever seen a screw-up like:\n\n1. Presenting wrong numbers in an exec meeting 🤦‍♂️\n2. Not being able to understand how a KPI such as Daily Active Users, Churn or ARR was built 😡\n3. Spending all your time on preparing and transforming data instead of producing insights on top of it 😫\n4. Making a change to a KPI calculation and breaking the CEOs favorite dashboard 🙀\n\nWe fix this! [Honeydew](https://honeydew.ai/) helps the data team organize analytics into manageable blocks of knowledge supporting every data flow. Users can consume them in SQL, Tableau, Looker, Python, or dbt.\n\nOur product is being used by multiple early adopters - unicorn companies in cyber, insurance tech, and cloud ops.\n\nWe (Baruch, Liron and David) always want to talk, at [founders@honeydew.ai](mailto:founders@honeydew.ai); or just [grab a time](https://calendly.com/d/yjm-8jd-pwt/honeydew-20min-call) if you ever felt or feel the data mess pain.\n\n![uploaded image](/media/?type=post&id=70089&key=user_uploads/1136239/95e430f6-06cd-4df5-bc7c-46e840c95751)\n\n---\n\n# **Would you like to know more?**\n\n### 💡 How does it work?\n\nWe connect to Snowflake and act as a layer on top of it for different data tools.\n\n(_we don’t need to access your data, and yes - we are SOC2-compliant_)\n\nThen,\n\n1. Map the source data and relations (we can map it automatically for you 😎)\n2. Create reusable pieces of logic like what is a _User_, what is _Active_, what is _Daily_\n3. Create a workflow around it, that helps the team to control changes\n4. Connect any tool, it will use the same logic ✌️: Tableau, Looker, dbt, Python or SQL\n5. Under the hood: we’ll will build the needed data pipeline on the fly and then maintain it to reflect the current truth.\n\n\n\n---\n\n### 🏗️ Why did we build this?\n\nAll three of us encountered and solved this problem in our previous roles.\n\nLiron founded a company that turned fashion consumer behavior data into real-time (yes, the numbers always lie 🤥 ). Baruch built AI products on sales data in Salesforce (yes, the numbers lie even with AI 🤥 ). David founded a company that built data lake acceleration (we calculated everything right, the questions lied 🤥 ).\n\nSo far we talked with over 300 analytics teams. They were all busy trying to get consistent data their stakeholders can trust. The surprising thing is that there is a gap that nobody is filling at the moment - this gap was covered before BI like Looker, and even before with likes of SAP Business Object. We fill this gap.\n\n### 👩‍💻 Why do customers want to use Honeydew?\n\n* “I struggle to keep logic in Looker and in the warehouse the same. I want to build it once”\n* “I am building a new data team, and I don’t want to end up with another dbt spaghetti”\n* “We have every tool in the modern data stack, and yet our KPIs calculations end up being managed in a wiki, reimplemented in ETL and dashboards. This does not make any sense”\n\n### 🙏 Our ask\n\n* Does your company have a data team? We would love to talk to them!\n* Does your company plan to have a data team? We would love to talk to you!\n* Do you like to talk about data in general? We also do, any time 😀\n\n### 🍈 Our deal\n\n* Sign up before demo day, and we do all the onboarding for you, free of charge\n\nLove - team [Honeydew](https://honeydew.ai/)\n\nFind us at [founders@honeydew.ai](mailto:founders@honeydew.ai); or just [grab a time](https://calendly.com/d/zyr-qvr-dhv/honeydew-grab-a-time)", "url": "https://www.ycombinator.com/launches/IET-honeydew-one-truth-to-rule-them-all", "votes": 260, "created_at": "2023-03-09T14:22:45.602Z" } ] }, { "id": 28077, "name": "Corgi Labs", "slug": "corgi-labs", "former_names": [ "CorgiAI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/48ab8ae360dddc3659ad06077db5d3349b75b91f.png", "website": "https://www.corgilabs.ai", "all_locations": "Singapore, Singapore", "long_description": "End-to-end suite of fraud detection and prevention solutions, including an analytics product to monitor and understand dispute + fraud metrics, an AI product which highlights transactions for merchants to follow up on, and an AI solution to recommend rules that can be implemented in payment provider platforms (Stripe, Shopify, Adyen) to proactively reduce dispute + fraud rates.", "one_liner": "AI to increase payment acceptance and reduce fraud for businesses", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Payments", "launched_at": 1677769779, "tags": [ "Payments", "Analytics", "E-commerce", "Fraud Detection", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "Fintech", "Payments" ], "regions": [ "Singapore", "Southeast Asia", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": [ { "question": "What is your company going to make? Please describe your product and what it does or will do.", "answer": "End-to-end suite of fraud detection and prevention solutions, including an analytics product to monitor and understand dispute + fraud metrics, an AI product which highlights transactions for merchants to follow up on, and an AI solution to recommend rules that can be implemented in payment provider platforms (Stripe, Shopify, Adyen) to proactively reduce dispute + fraud rates." } ], "question_answers": null, "url": "https://www.ycombinator.com/companies/corgi-labs", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/corgi-labs.json", "year_founded": 2022, "city": "Singapore", "country": "SG", "linkedin_url": "https://www.linkedin.com/company/corgiai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/48ab8ae360dddc3659ad06077db5d3349b75b91f.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/60/1680797717037-b3zrie54je5-a536a7c3970623624f5cc8afa2567756/235544e43fbad7d99d2453d70ba407c8.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022712Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=c25cdb58e907eb0a6723b9f38d62f5d1afe79894866f3512bb2e2402c32fa60b", "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 814645, "full_name": "Saif Farooqui", "title": "Founder", "founder_bio": "Saif is the founder of Corgi Labs, where he builds modern fraud and payments intelligence for fast-growing businesses. Previously, Saif was a Data Scientist at Stripe, Google and Facebook (now Meta), and a healthcare economist in an earlier life.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sfarooqui1/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f2ad4d600f7b49b35fd5a55c920cd563d9bc8281.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28080, "name": "Tagsafe", "slug": "tagsafe", "former_names": [ "Tagsafe", "Swishjam" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d607b93f3da26fde36fd956fe7b3fb67f045e121.png", "website": "http://www.tagsafe.io", "all_locations": "Cincinnati, OH, USA; Remote", "long_description": "", "one_liner": "", "team_size": null, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1678306868, "tags": [ "SaaS", "B2B", "Analytics", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/tagsafe", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/tagsafe.json", "year_founded": null, "city": "Cincinnati", "country": "US", "linkedin_url": "https://www.linkedin.com/company/swishjam", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d607b93f3da26fde36fd956fe7b3fb67f045e121.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [], "jobs": [], "news": [], "launches": [ { "id": 77810, "title": "Revenue Analytics by Swishjam — Connect your product usage data to revenue", "tagline": "Pull in all of your core SaaS-related revenue metrics into a single dashboard to enable you to better understand your business and keep track of what matters most; your revenue.", "body": "Swishjam’s Revenue Analytics solution pulls in all of your core SaaS-related revenue metrics into a single dashboard to enable you to better understand your business and keep track of what matters most; your revenue. Most importantly, your revenue is now automatically connected to your user’s product usage.\n\n![uploaded image](/media/?type=post&id=77810&key=user_uploads/26873/84e0b9b4-523c-4c42-a7b2-48f85eeb3255)\n\n**How does it work?**\n\nSwishjam connects to your Stripe account, syncs your data, and calculates all of your most important SaaS-related revenue metrics such as MRR, churn rate, revenue retention, and more.\n\nWhen you enable Revenue Analytics in Swishjam, you get:\n\n1\\. **Revenue Analytics Dashboard** - data visualizations of all your key revenue metrics.\n\n2\\. **Automations & Slack Notifications** - because Swishjam is now ingesting your Stripe events as they occur in real-time, you can set up [automations](https://swishjam.com/solutions/automations) to take actions when important revenue-related events occur.\n\n3\\. **Reporting** - Get daily/weekly/monthly reports on your revenue in Slack or by email.\n\n4\\. **User Profiles Tied to Revenue** - we automatically tie user profiles from your product analytics to Stripe data. This lets you build a better picture of your customer without lifting a finger. We also roll up this data to organizations if your app has that type of billing. Coming in version 2 is the ability to predict churn from this data and catch zombie users before they churn to keep more of your hard-earned customers.\n\n**Why is this exciting?**\n\nSure, lots of other apps already have this type of dashboard but **none that we know of can tie this type of information together easily**. Currently, it’s quite painful and most usually a manual process. This is also a big step towards our larger mission of tying your disparate data sources into your product analytics data as a first-party citizen, automatically stitched to your user profiles, and creating a true 360 user profile. What this means is that within Swishjam, you will be able to easily sift, segment, and visualize all of your product analytics data along with your billing data (and other data sources!) to answer questions like:\n\n1\\. Which of my users’ usage is dropping off who are subscribed to the Gold Plan?\n\n2\\. What percent of users on the Free Trial trigger the {your aha moment} event?\n\n3\\. What were the usage patterns for user XYZ leading up to their churn?\n\nInterested in getting access? Drop us a line at [founders@swishjam.com](mailto:founders@swishjam.com) and we’ll get you up and running in a few clicks.", "url": "https://www.ycombinator.com/launches/KF0-revenue-analytics-by-swishjam-connect-your-product-usage-data-to-revenue", "votes": 15, "created_at": "2024-01-24T15:34:14.849Z" }, { "id": 70623, "title": "Swishjam - Open-source suite of page speed optimization tools", "tagline": "We help companies measure, monitor, and optimize their page speed to deliver best in class experiences to their users.", "body": "Hey all - Collin here, co-founder of Swishjam.\n\n[Swishjam](https://www.swishjam.com) is a suite of [open-source](https://www.github.com/swishjam/swishjam) tools that enables companies to deliver the best experience to their users by providing them with the tools they need to measure, monitor, and optimize their page speed.\n\n**Page speed really, really matters**\n\nPage speed is one of the most important yet overlooked metrics to delivering the best experience to _all_ of your users. A faster page load is directly correlated with higher conversion, better SEO, and lower bounce rates. Amazon reported in 2006 that every additional 100ms in page load resulted in a 1% drop in revenue. Despite that, the page speed tooling is lagging behind, leaving users with more questions than answers.\n\nWe first encountered this problem when working with users in a past role watching them attempt to diagnose performance issues on their site. While page speed was a top priority for them, they often had to use legacy software, and/or hire expensive consultants to triage and resolve them.\n\n**A wholistic solution to measuring, monitoring, and optimizing page speed**\n\nSwishjam helps you identify page speed bottlenecks by capturing key performance metrics your users are receiving on your site. Our dashboards help you make sense of your overall page speed, and provides you with actionable insights and tooling to improve.\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/fba9b8fe-a743-4318-abdd-79efe6954328)\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/4bebf3e3-89f4-466d-95db-391c1359feae)\n\n![uploaded image](/media/?type=post&id=70623&key=user_uploads/622150/1319cc5c-129a-4663-b194-61fc999f5da4)\n\n**Want to learn more?**\n\nIf you or someone you know works in eCommerce, digital media, or a related industry where page speed is important KPI, we’d love any intros! You can get in touch with us at [founders@swishjam.com](mailto:founders@swishjam.com).", "url": "https://www.ycombinator.com/launches/IN5-swishjam-open-source-suite-of-page-speed-optimization-tools", "votes": 35, "created_at": "2023-03-29T17:38:10.086Z" } ] }, { "id": 28091, "name": "Hindsight", "slug": "hindsight", "former_names": [ "NodeFlow", "Baseplate", "DealPage" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7937cfc67cd819742d4ef88a0139c7be4122cc00.png", "website": "https://www.usehindsight.com/", "all_locations": "New York City, NY, USA", "long_description": "Hindsight's AI helps teams understand why they win or lose deals - and use that insight to win more.\r\n\r\nOur platform is used by teams like Ironclad, LaunchDarkly, and Klaviyo to build workflows on top of their GTM data.\r\n\r\n1. Build battlecards, objection handling guides, and case studies that never go out of date\r\n2. Create AI roleplays based on real conversations your sales team is having\r\n3. Analyze 1000s of deals to create reports and alerts for your GTM, product, and strategy teams.", "one_liner": "Deal Intelligence and Sales Coaching Platform", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1673288585, "tags": [ "B2B", "Analytics", "Sales", "Sales Enablement", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "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/hindsight", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/hindsight.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hindsighthq/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7937cfc67cd819742d4ef88a0139c7be4122cc00.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1213493, "full_name": "Ani Gottiparthy", "title": "Founder", "founder_bio": "Co-Founder, CEO @ Hindsight | Helping GTM Teams Learn from Wins and Losses\nComputer Science + Design at UC Berkeley. PM @ Logitech working on AI-powered meetings.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ani-gottiparthy/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d0b95748fdc135ec7b3904c74f7802d30f0cdfd1.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 88481, "title": "Hindsight – Competitive Intelligence That’s Actually Intelligent", "tagline": "Win more competitive deals with simple AI-powered insights and workflows", "body": "Deals are more competitive than ever, and sales teams don’t feel prepared to win. Product marketing teams constantly get hit with questions like:\n\n* “How do we beat \\[competitor\\]?”\n* “Do we have a battlecard for this?”\n* “What’s our answer to \\[new competitor launch\\]?”\n\nTo find answers, teams have to dig through call recordings, piece together competitor research, and hope they’re making the right call.\n\n![uploaded image](/media/?type=post&id=88481&key=user_uploads/1213493/b87ca67c-de33-4a14-9dfa-28abc23ce023)\n\n### **The Problem**\n\nCompetitive intelligence today is **broken**:\n\n* **Prioritizing junk data** – Teams spend tons of money on web monitoring tools that flood them with alerts that don't actually matter.\n* **Ignoring the best source of intelligence—actual buyers** – Most marketing teams review **<5%** of calls and talk to **<1%** of lost prospects. That’s not enough to know why deals are really won or lost.\n* **Outdated content** – PMMs spend weeks building battlecards that go stale before they’re used. Sales stops trusting them, and adoption plummets.\n\n### **How Hindsight Fixes This**\n\n\n\nUnlike other CI tools, Hindsight prioritizes competitive insights directly from your buyers AND helps you collect it.\n\n* **Win-Loss at Scale** – AI analyzes 100% of your CRM deals, calls, and emails to uncover decision drivers, identify competitors, and clip key quotes from deals.\n* **Automated Buyer Feedback** – Hindsight runs unbiased debriefs with won and lost prospects to uncover how they really compare you vs. competitors—giving you the data sales teams actually need.\n* **Real-Time Competitive Intelligence** – Hindsight monitors the web and your other sales tools daily to build and maintain battlecards automatically.\n* **Just-in-Time Sales Enablement** – Insights and battlecards are delivered directly in Slack or email so reps always have the right info before their calls. Automatically updated as new insights roll in.\n* And a lot more!\n\n### **Why We’re Building Hindsight**\n\nHey, I’m Ani 👋. I co-founded Hindsight with one of my best friends, Andrew Luo. When I was a PM, I spent too much time **guessing** why we won or lost deals. Our roadmap was shaped by opinions instead of facts, and I struggled to get sales teams aligned with the right messaging.\n\nWe built Hindsight to turn every deal into a learning opportunity and make sure sales, product, and marketing are always aligned on the truth.\n\n### **See Hindsight in Action**\n\nHindsight integrates seamlessly with **Salesforce, HubSpot, Gong, Slack and other popular tools**, so you can capture and act on the right insights instantly.\n\n![uploaded image](/media/?type=post&id=88481&key=user_uploads/1213493/be5da5a9-7e57-46d3-b273-13557e270c68)\n\nTeams using Hindsight see competitive win rates increase by up to **15%**.\n\nIf you’re in a competitive industry and want to stop losing winnable deals\n\n**→** [**Get early access**](https://www.usehindsight.com/)", "url": "https://www.ycombinator.com/launches/N17-hindsight-competitive-intelligence-that-s-actually-intelligent", "votes": 34, "created_at": "2025-03-11T17:40:13.824Z" } ] }, { "id": 28221, "name": "Serial", "slug": "serial", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8354b5bea40df992c6f00ba3131da07c65e1300.png", "website": "https://www.serial.io/", "all_locations": "San Francisco, CA, USA", "long_description": "Serial is software to help manufacturers root cause problems in minutes not days and avoid millions in liabilities. Our solution integrates with data sources from any production line, enabling engineering & operations teams to ask questions about their manufacturing data and instantly get answers. Serial will become the single source of truth for manufacturing data.\r\n\r\nOur founding team has 10+ years of manufacturing and product design experience from Apple, Tesla, and more. We have suffered this problem firsthand and are building the tool to fix it.", "one_liner": "Root cause manufacturing issues in seconds", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1677010841, "tags": [ "SaaS", "Analytics", "Manufacturing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2023", "status": "Inactive", "industries": [ "B2B", "Engineering, Product and Design" ], "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/serial", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/serial.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/serialmfg/", "x_url": "https://twitter.com/Serialmfg", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8354b5bea40df992c6f00ba3131da07c65e1300.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1235892, "full_name": "Tak Alguire", "title": "Founder", "founder_bio": "Co-founder at Serial (W23). I've spent my carreer in the manufacturing space at Apple and Google. Now I lead the product team at Lumafield, making the best CT equipment in the world. Always will to trade notes with founders in the hardware/manufacturing space. ", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/tak-alguire/", "x_url": "https://twitter.com/tak_alguire", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7706faad70cc1b9507fe2a3181d9435c108126e4.jpg" }, { "user_id": 1208864, "full_name": "Devon Copeland", "title": "Founder", "founder_bio": "Co-founder and CTO of Serial (W23). Devon has spent over 5 years working in hardware engineering at companies like Apple, Tesla, and Aeryon Labs. His obsession with timely, data-driven decision making has guided the engineering of several features on Apple Watch Ultra and the Model 3. Today, Devon is laser-focused on bringing his wealth of analytical engineering knowledge to Serial, thereby unlocking new cheat codes for any company making physical products.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/dkccopeland/", "x_url": "https://twitter.com/devonkcopeland", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c510b7fa22096ecee2a33dfa2275d3148e7a4caa.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 69709, "title": "Serial - Unify your manufacturing data", "tagline": "Helping engineers root cause manufacturing issues in minutes ", "body": "### **TL;DR**\n\n[Serial](https://www.serial.io/) unifies data from your manufacturing process, enabling engineers to save time and root cause issues immediately.\n\n### **The Problem**\n\n* Root-causing manufacturing issues is a painful and time-consuming process that requires collecting and aligning all forms of data - log files, dimensional measurements, supplier reports, images, etc.\n* These costly problems result in millions of dollars in lost production capacity, scrapped parts or product recalls.\n\n### **The Solution**\n\n* A pipeline to collect, parse, clean and structure data from any source on a production line\n* Models to identify local trends or deviations in data to escalate quality risks in realtime\n* Single platform to ask any question about your data and immediately get an answer\n\n![uploaded image](/media/?type=post&id=69709&key=user_uploads/1235892/1d0a0ce5-e134-43ed-839e-b2ee1da42986)\n\n### **The Team**\n\nWe are Waterloo grads with 10+ years of experience in product design and manufacturing quality from Apple, Tesla, and North. We have suffered this problem firsthand and are building the tool we wish we had.\n\n![uploaded image](/media/?type=post&id=69709&key=user_uploads/1235892/4ee36f70-60d5-4903-9a22-d325dbead0e3)\n\n### **The Ask - Intros to Manufacturers**\n\nIf you are manufacturing products and share this pain, then reach out to [founders@serial.io](mailto:founders@serial.io) or sign up directly at [serial.io](https://www.serial.io/contact-us)", "url": "https://www.ycombinator.com/launches/I8L-serial-unify-your-manufacturing-data", "votes": 26, "created_at": "2023-02-27T17:43:34.649Z" } ] }, { "id": 28589, "name": "HockeyStack", "slug": "hockeystack", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90725285723955c6a718c11c6de42fac109093c5.png", "website": "https://hockeystack.com", "all_locations": "San Francisco, CA, USA", "long_description": "HockeyStack improves sales outcomes for B2B companies by helping them record and understand every interaction their customers have with their marketing, sales reps, CSMs, and products. \r\n\r\nWe map every customer touchpoint from ad impression to closed won and to upsell using our own tracking script and native integrations to the B2B GTM tech stack. \r\n\r\nBuilding this source of truth allow us to give companies previously hidden insights that generate incremental revenue, such as:\r\n\r\n- Deploy marketing budget: \"Launch this ad campaign to this audience to generate $XM in pipeline\"\r\n- Target the right accounts with the right messaging: \"These accounts have the highest likelihood to convert, put them on this email sequence\"\r\n- Convert more of the pipeline: “Pied Piper hasn't visited the site for 8 days; give Jim a phone call”\r\n", "one_liner": "The operating system for inbound B2B revenue", "team_size": 32, "industry": "B2B", "subindustry": "B2B -> Sales", "launched_at": 1680648195, "tags": [ "SaaS", "B2B", "Analytics", "Sales", "Marketing" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Sales" ], "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/hockeystack", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/hockeystack.json", "year_founded": 2022, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/hockeystack", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/90725285723955c6a718c11c6de42fac109093c5.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 307556, "full_name": "Buğra Gündüz", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ HockeyStack. I started learning to code as a child, started selling digital products online in my freshman year of high school in Turkey, went to the US for college & dropped out during my first quarter to build HockeyStack.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bgrgndzz", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/506413169722e10ebea15acaf30cc5a40730f0a7.jpg" }, { "user_id": 703243, "full_name": "Arda Bulut", "title": "Founder", "founder_bio": "co-founder and cto", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ardabulut-627211/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c269aabd8c3f15b21d379d87cd354b0c90d225df.jpg" } ], "jobs": [], "news": [ { "title": "HockeyStack raises $20 million for marketing analytics and attribution", "url": "https://www.axios.com/2025/01/28/hockeystack-revenue-analytics-software", "date": "Jan 28, 2025" } ], "launches": [ { "id": 73647, "title": "🏒 HockeyStack — Revenue intelligence & attribution for B2B", "tagline": "How Whatfix, Cognism, and 35+ others analyze marketing and sales performance & generate more pipeline", "body": "### _TL; DR,_\n\n1. _Customers connect all data sources (CRM, ads, web, and product analytics…) to HockeyStack to create a source of truth for customer engagements. No engineering work required._\n2. _HockeyStack shows which channels, campaigns, content, segments, etc. drive the most revenue and active customers._\n3. _HockeyStack creates lists of high-intent accounts that customers can use to launch the most efficient sales & marketing campaigns._\n\nWe’re Arda, Buğra, and Emir. We came from Turkey & dropped out of our first semester of college in the US to build [HockeyStack](https://www.hockeystack.com/?utm_source=launchyc), because we realized that every single B2B enterprise has the same exact #1 problem.\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/5a0ce469-00e7-416a-8af0-ba3a7b9f0718)\n\n### Problem\n\nRevenue-facing teams in B2B companies run all their operations on customer data, whether it is managing an advertising budget, launching integrated campaigns, closing deals, or retaining customers. But there is no central system of record for customer data that they can use to run their operations, so instead, they rely on tens of different data tools and spreadsheets.\n\nThe CRM was built for this purpose, but over 20 years it got outdated, and companies found themselves either having to find hacks to format their data to fit the CRM, or build a data warehouse from scratch.\n\n### Solution\n\nHockeyStack collects all data about customer interactions through a web analytics script, a set of integrations to revenue-related business systems (CRM, ads, marketing automation, email, etc.), and data partners.\n\nAny non-technical person in a B2B company can use HockeyStack’s reporting interface to answer complex questions like:\n\n* What marketing channel had the best unit economics this quarter?\n* Which segment of companies do we have the highest account penetration in?\n* What makes a customer buy our software faster?\n* Who are the highest intent companies who have not yet booked a demo with us?\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/d86c6313-72ee-42ce-9500-4875f29a8a3b)\n\nThey click into the numbers, and can see a list of accounts behind the report, all of which have their entire history of engagement with the company displayed alongside important firmographics.\n\n![uploaded image](/media/?type=post&id=73647&key=user_uploads/307556/25f109b6-83e0-44d3-bb45-3a5ae267d2de)\n\nThis information can be used to create and export lists of high-intent accounts based on different segmentations out to various marketing and sales platforms to start or accelerate the sales conversation.\n\n### **🙏 Ask**\n\nWe’d love to be introduced to marketing and sales leaders at B2B enterprises or scale-ups!\n\n### 🤲 **Give**\n\nWe’d be happy to help any B2B founder with advice in generating inbound pipeline.\n\nYou can reach me at [bugra@hockeystack.com](mailto:bugra@hockeystack.com) or [LinkedIn](https://www.linkedin.com/in/bgrgndzz/).", "url": "https://www.ycombinator.com/launches/J9r-hockeystack-revenue-intelligence-attribution-for-b2b", "votes": 124, "created_at": "2023-08-01T15:53:50.382Z" } ] }, { "id": 28808, "name": "PropRise", "slug": "proprise", "former_names": [ "River AI", "River", "Introscopic", "River AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/099267e4ee22818f2d0af078193f368735107d1e.png", "website": "https://www.proprise.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "PropRise is the AI platform for institutional CRE investment teams. We automate the tedious, Excel-heavy workflows that slow down dealmaking: from sourcing to underwriting to due diligence. Our two live products serve 50+ customers including Public Storage: Beacon automates site selection for developers, and Primer extracts financial data from deal packages into structured, model-ready formats, cutting hours of analyst work to minutes. We're expanding across asset classes to become the operating system for CRE dealmaking.", "one_liner": "The AI platform for CRE investment teams", "team_size": 3, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction", "launched_at": 1690588132, "tags": [ "Machine Learning", "SaaS", "Real Estate", "B2B", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "Real Estate and Construction" ], "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/proprise", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/proprise.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/proprise/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/099267e4ee22818f2d0af078193f368735107d1e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/87716158f2af30f25f48c75d3dec63f35411c1ea.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 959155, "full_name": "Jean-Michael Diei", "title": "Founder", "founder_bio": "Big fan of applying machine learning to real-world problems. \n\nAt PropRise, we're building the AI platform that automates dealmaking workflows for institutional CRE investment teams.\n\nPrior to this, I led applied ML efforts across various industries at companies such as Stripe, Embark Trucks and Microsoft. \n\nStudied Machine Learning/Computer Vision at Carnegie Mellon University.", "is_active": true, "linkedin_url": "https://linkedin.com/in/jeanmichaeldiei", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8530be72b98145014f829b651bd9973da199a7d.jpg" }, { "user_id": 353992, "full_name": "Matthew Krager", "title": "Founder", "founder_bio": "Heyo! I'm Krager. \n- Currently working in PropTech.\n- Long-time iOS and Full-Stack Dev.\n- Worked on FB Recruiting and Stripe Terminal", "is_active": true, "linkedin_url": "https://linkedin.com/in/matthew-krager-60b360102", "x_url": "https://twitter.com/kragerDev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2ca54e3bf2fd8ad7a804502870b6a54e31659771.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 28815, "name": "Atla", "slug": "atla", "former_names": [ "Atla", "atla", "Atla", "atla" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7e8e61ea6d3f763043392069ac87464fc6db2af.png", "website": "https://www.atla-ai.com/", "all_locations": "London, England, United Kingdom", "long_description": "Find and fix your agent’s most critical failures in hours, not days.\r\n\r\nAtla helps developers cut time spent on manually reviewing traces. Atla’s LLM judge evaluates your agent step-by-step, uncovers error patterns across runs, and suggests specific fixes—so you know exactly what to fix and why.\r\n\r\nAtla supports the most popular agent frameworks teams build with, including LangChain, CrewAI, and OpenAI Agents. With real-time monitoring, automated error detection, and prompt experimentation, Atla gives teams the visibility and control needed to confidently ship agentic systems that work. \r\n\r\nWe’re a team of researchers, engineers, entrepreneurs and operational leaders. Our expertise in evals was honed through training our own purpose-built LLM Judges, Selene and Selene Mini, which are available open-source and have been downloaded 60,000+ times.", "one_liner": "The improvement engine for AI agents", "team_size": 10, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687465633, "tags": [ "AIOps", "Developer Tools", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Inactive", "industries": [ "B2B" ], "regions": [ "United Kingdom", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/atla", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/atla.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/atla-ai", "x_url": "https://x.com/Atla_AI", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/atla-037f", "github_url": "https://github.com/atla-ai/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f7e8e61ea6d3f763043392069ac87464fc6db2af.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1125799, "full_name": "Maurice Burger", "title": "Founder", "founder_bio": "Co-founder of Atla (S23). Startup veteran @ Syrup, Trim, and Merantix. Masters in CS @ University of Pennsylvania. Half an MBA @ Harvard Business School.", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/maurice-burger/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a2469ba280fe36958a607550e4d8c469166187fe.jpg" }, { "user_id": 946667, "full_name": "Roman Engeler", "title": "Founder", "founder_bio": "Co-founder & CTO of atla (S23). AI safety researcher @ MATS. MSc. Robotics @ ETH, Stanford, Imperial.", "is_active": false, "linkedin_url": "https://linkedin.com/in/roman-engeler-54416212b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/66d764f35f54a4b1f23c31849de201dfdecd99f4.jpg" } ], "jobs": [], "news": [ { "title": "Atla wants to build text-generating AI models with ‘guardrails’ | TechCrunch", "url": "https://techcrunch.com/2023/12/05/atla-wants-to-build-text-generating-ai-models-with-guardrails/", "date": "Dec 05, 2023" } ], "launches": [ { "id": 93580, "title": "Atla: The improvement engine for AI agents", "tagline": "We help teams building AI agents find and fix recurring failures.", "body": "Hey everyone! [Roman](https://www.linkedin.com/in/roman-engeler-54416212b/) here, cofounder of Atla.\n\n# **TL;DR**\n\nAtla helps teams building AI agents find and fix recurring failures. Instead of just surfacing endless traces, Atla automatically identifies the patterns behind failures and suggests targeted fixes.\n\n**Ask:** Building agents? Try us at [atla-ai.com](http://atla-ai.com) to find your agent’s most critical issues and ship improvements in hours, not days. \n\n# https://youtu.be/LtvKBJKPxKE?feature=shared\n\n# **❌ The Problem**\n\nAgents are complex black boxes, chaining together plans, tool calls, and agent-to-agent interactions. For this reason:\n\n* Failures hide inside long traces and are difficult to spot at scale.\n* Current solutions that just display traces without identifying issues are not enough.\n\nWe’ve spoken to over 100 teams who experience similar pains of digging through thousands of traces without clear signal, and fixing one issue only to have another pop up. This slows down shipping and erodes trust in the system.\n\n# **🛠 Our Solution**\n\nAtla turns all that noise into actionable insights:\n\n1. **Error annotation**: We automatically flag errors at the step level to find the root cause of a failed run.\n2. **Pattern detection**: We cluster those errors across traces to surface the recurring, high-impact failures.\n3. **Actionable fixes**: For each failure mode, Atla generates targeted recommendations specific enough to implement as small pull requests.\n\nThe result: instead of chasing symptoms, you can focus on the 2–3 failures that actually move the needle.\n\n# 📈 **Impact so far**\n\n* A legal AI startup used in over 15 countries now spots prompt failures in days instead of weeks with Atla.\n* A fast-growing productivity AI startup doubled the number of improvements shipped with Atla.\n\n# **👷 Why Us**\n\nBefore starting Atla, I led product and engineering at two fast-growing startups and researched iterative self improvement of large language models at the Stanford Existential Risks Initiative.\n\nAt Atla, we’re a small, highly technical team of AI researchers and engineers obsessed with evaluation and reliability. We previously trained Selene, an LLM-as-a-Judge model downloaded 60k+ times.\n\n![uploaded image](/media/?type=post&id=93580&key=user_uploads/946667/61832c56-f4fa-4c93-a623-eb6c31f5b1f8)\n\n# 🙏 **Our Ask**\n\nIf you’re building agents, we’d love for you to **try Atla**: https://www.atla-ai.com/\n\nKnow teams building agents? Please **share this post** with them!\n\nThank you!", "url": "https://www.ycombinator.com/launches/OLM-atla-the-improvement-engine-for-ai-agents", "votes": 79, "created_at": "2025-09-04T15:03:23.275Z" }, { "id": 88045, "title": "Selene - The World’s Most Accurate LLM-as-a-Judge", "tagline": "Half of AI’s answers are brilliant, half aren’t. We trained a model to tell them apart.", "body": "### **TL;DR**\n\nMeet Selene, a state-of-the-art LLM Judge trained specifically to evaluate AI responses. Selene is the best model on the market for evals, beating all frontier models from leading labs across 11 commonly used benchmarks for evaluators. Today, we are releasing:\n\n* API/SDK - Integrate Selene into your AI workflow\n* Alignment Platform - Build custom evaluation metrics for your use case\n\n[Get started using Selene for free.](https://www.atla-ai.com/sign-up?utm_source=ycombinator&utm_medium=community&utm_campaign=SU_YC_launchyc_communitypost_sel1launch_)\n\n![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/e44a5253-3117-4849-9c36-3f55ea2345a3)\n\nWatch our demo [here](https://youtu.be/5A8-XqUoNBc).\n\n### **The Problem**\n\nGenerative AI is unpredictable. Even the best models occasionally hallucinate, contradict themselves, or produce unsafe outputs. Many teams rely on the same general-purpose LLMs to evaluate AI outputs, but these models weren’t trained to be judges. That leads to:\n\n* **Inaccurate evaluations** and inefficient iteration cycles in development\n* **Risky, unpredictable** AI behavior in production\n\n### **Our Solution**\n\n* **A SOTA model for evals**: Selene outperforms all frontier models (OpenAI’s o-series, Claude 3.5 Sonnet, DeepSeek R1, etc.) across 11 benchmarks for scoring, classifying, and pairwise comparisons.\n\n ![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/8aec7a55-9ec9-4c98-86ae-ed3293fa3988)\n\n* **A platform to align our evaluator**: Adapt Selene to your exact evaluation criteria—like “detect medical advice,” “flag legal errors,” or “judge whether the agent upgraded its workflow correctly.”\n\n ![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/ae45cd9b-5315-4d1b-a5e5-971c1da285d4)\n\n\nSelene works seamlessly with popular frameworks like DeepEval (YC W25) and Langfuse (YC W23) — just add it to your pipeline. And it runs faster than GPT-4o and Claude 3.5 Sonnet.\n\n### **Who We Are & Why We’re Building This**\n\nWe’re a small, highly technical team of AI researchers and engineers, with folks from leading AI labs and startups. Our mission is to enable the safe development of AGI. As models grow more powerful, **we need a ‘frontier evaluator’ that keeps pace with frontier AI**. We see Selene as a stepping stone toward scalable oversight of powerful AI.\n\n![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/c1aa726d-219c-46ca-b99f-e14279c499b2)\n\n### **Our Ask**\n\n[**Try Selene for free**](https://www.atla-ai.com/api) → Integrate our API into your eval pipeline.\n\n[**Try our Alignment Platform**](https://www.atla-ai.com/sign-up?utm_source=ycombinator&utm_medium=community&utm_campaign=SU_YC_launchyc_communitypost_sel1launch_) → Craft a custom eval for your application.\n\n[**Discord**](https://discord.com/invite/qFCMgkGwUK?utm_source=ycombinator&utm_medium=community&utm_campaign=_YC_launchyc_communitypost_sel1launch_) → Leave feedback, get to know us, and brainstorm cool ideas.\n\n![uploaded image](/media/?type=post&id=88045&key=user_uploads/1125799/8b5d8436-9914-4e22-a4d6-47f4fdf842fe)\n\n", "url": "https://www.ycombinator.com/launches/Mu5-selene-the-world-s-most-accurate-llm-as-a-judge", "votes": 56, "created_at": "2025-02-26T12:41:49.232Z" } ] }, { "id": 28829, "name": "DataShare", "slug": "datashare", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a781f87fe1bbe72d69bfd79f2391a43f15cb2f9b.png", "website": "http://datashare.co/", "all_locations": "Austin, TX, USA; Remote", "long_description": "DataShare is a data-as-a-service platform that lets you embed charts, dashboards and exports directly into your product. For example, if you run an accounting startup, DataShare would enable you to embed a full profit and loss dashboard, with downloadable statements. DataShare is backed by an enterprise-grade data warehouse, and can be implemented in fewer than 20 lines of code. \r\n", "one_liner": "Embed charts, dashboards and exports in your app", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1693343113, "tags": [ "Analytics", "Data Engineering", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/datashare", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/datashare.json", "year_founded": 2023, "city": "Austin", "country": "US", "linkedin_url": "https://www.linkedin.com/company/withdatashare/about/", "x_url": "https://twitter.com/WithDataShare", "fb_url": null, "cb_url": null, "github_url": "https://github.com/datashare-public", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a781f87fe1bbe72d69bfd79f2391a43f15cb2f9b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 8960, "full_name": "Brian Brunner", "title": "Founder", "founder_bio": "Founder of DataShare, previously was the engineering manager for the team at Stripe that built Sigma and Data Pipeline.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bbrunner", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3b55587837d10e3096bf4a8abd69d08dec332f01.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 74483, "title": "DataShare: Embed customer-facing charts, dashboards and exports directly in your product", "tagline": "Backed by an enterprise data warehouse and just 20 lines of code to integrate.", "body": "Hey there! I’m Brian from [DataShare](https://datashare.co/).\n\nDataShare is a data-as-a-service platform that lets you embed charts, dashboards and exports directly into your product. For example, if you run an accounting startup, DataShare would enable you to embed a full profit and loss dashboard, with downloadable statements. It’s backed by an enterprise-grade data warehouse and can be implemented in fewer than 20 lines of code.\n\n[Book some time](https://calendly.com/bb-datashare/datashare-intro-call) if you want to learn more. We can walk through all DataShare has to offer and give you an idea of what an integration would look like for your tech stack.\n[](https://www.youtube.com/watch?v=LNZGCl7lQMU)\n# Background\n\nOver the past few years, SaaS and financial services companies have been pushed by their customers to provide better business intelligence tooling. These systems are complex to design, hard to build, expensive to run, and challenging to scale. I've seen numerous examples of companies doing things like operating a database per customer or running 10+ hour-long pre-computation jobs just to deliver customer-facing data products.\n\nHowever, during my time at Stripe, I saw a different model. I ran the engineering team that built [Data Pipeline](https://stripe.com/data-pipeline) and [Sigma](https://stripe.com/sigma), and due to Stripe's infrastructure, we were able to rapidly deliver new products that helped to retain some of Stripe’s largest customers.\n\nDataShare is packaging up what I learned, and delivering that knowledge to the rest of the market.\n\n# The Product\n\nDataShare is a platform that combines a scalable, enterprise-grade data warehouse with a front-end framework for integrating business intelligence tools directly into your product.\n\nCharts and dashboards can be built with a point-and-click UI and can be integrated with just two lines of code.\n\n![uploaded image](/media/?type=post&id=74483&key=user_uploads/8960/57e3c582-7c6a-4595-9e20-efb8550438c5)\n\nYou can also skip the UI if you want. Visualizations can be built using DataShare’s AI-powered assistant.\n\n![uploaded image](/media/?type=post&id=74483&key=user_uploads/8960/3520b630-6afd-4725-9e9f-9bad448c8ee4)\n\nDataShare supports more than 20 types of data sources, including PostgreSQL, MySQL, and MongoDB, and is backed by a full data warehouse.\n\n# About DataShare\n\n[Brian](https://www.linkedin.com/company/withdatashare/) - I spent the past 4 years at Stripe and the past year and a half as the eng manager for [Data Pipeline](https://stripe.com/data-pipeline) and [Sigma](https://stripe.com/sigma). My team and I supported some of Stripe’s largest customers like DoorDash, Slack, Zoom, and Lime, helping keep them happy and run crucial financial workflows.\n\n# Ask\n\nIf you are thinking about building our customer-facing business intelligence tools, or you have a customer-facing BI stack you don’t like, reach out at [hello@datashare.co](mailto:hello@datashare.co) or grab [time to chat](https://calendly.com/bb-datashare/datashare-intro-call).\n\nThanks!\n\nBrian from DataShare", "url": "https://www.ycombinator.com/launches/JNL-datashare-embed-customer-facing-charts-dashboards-and-exports-directly-in-your-product", "votes": 35, "created_at": "2023-08-29T20:31:46.784Z" } ] }, { "id": 28983, "name": "Converge", "slug": "converge", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ddaa5bebf2aae550b90599e16a46dc1f877c755.png", "website": "http://www.runconverge.com", "all_locations": "New York City, NY, USA", "long_description": "We're building the unified marketing measurement stack for online stores. We make it easy for marketeers to understand where their customers come from, cut unprofitable channels, and scale when things are working.\r\n\r\nWe are vertically integrating the modern data stack for marketing teams of online stores by consolidating customer data collection, consent management, identity resolution, transformations, attribution, data forwarding, and analytics into a single platform.", "one_liner": "All-in-one marketing measurement for B2C", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1687127368, "tags": [ "SaaS", "Analytics", "E-commerce", "Marketing", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "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/converge", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/converge.json", "year_founded": 2022, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/81685997/", "x_url": "https://twitter.com/runconverge", "fb_url": null, "cb_url": null, "github_url": "https://github.com/run-converge", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6ddaa5bebf2aae550b90599e16a46dc1f877c755.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 559019, "full_name": "Jan-Henrik Lambrechts", "title": "Founder", "founder_bio": "co-founder and ceo @Converge -- worked on ml vision models @TsinghuaU before that", "is_active": true, "linkedin_url": "https://linkedin.com/in/janhenrik-lambrechts", "x_url": "https://twitter.com/janhenriklamb", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ef7a2e2909a4692230ff50a73fb74c4526156c45.jpg" }, { "user_id": 772323, "full_name": "Jerome Billiet", "title": "Founder", "founder_bio": "Co-founder at Converge - studied finance at London Business School before.", "is_active": true, "linkedin_url": "https://linkedin.com/in/j%C3%A9r%C3%B4mebilliet", "x_url": "https://twitter.com/BillietJerome", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5e225291757e7b22b72f9ae5b8c186eb23fe0d4c.jpg" }, { "user_id": 772314, "full_name": "Thomas Holvoet", "title": "Founder", "founder_bio": "Studied CS in Ghent (Belgium), went on to drop out of the data science masters at Columbia to start Converge", "is_active": true, "linkedin_url": "https://linkedin.com/in/thomas-holvoet", "x_url": "https://twitter.com/thomas_holvoet", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/414b694acb50a5deca033ab387a6e0d2868c48a0.jpg" } ], "jobs": [ { "id": 79269, "title": "Account Executive", "url": "https://www.ycombinator.com/companies/converge/jobs/lQamnCz-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "0.15% - 0.35%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 89633, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/converge/jobs/rCwUC9I-product-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$180K - $240K", "equity_range": "0.50% - 0.85%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "MarTech startup Converge raises $5.6M", "url": "https://www.axios.com/pro/media-deals/2025/02/06/exclusive-martech-startup-converge-raises-56m", "date": "Feb 06, 2025" } ], "launches": [ { "id": 72382, "title": "Converge - Segment for ecommerce", "tagline": "We help online stores improve ad performance and attribution accuracy through better tracking.", "body": "**TL;DR:** [**Converge**](https://www.runconverge.com?utm_source=yc&utm_medium=organic&utm_campaign=launch-yc) auto-tracks and forwards ecommerce customer events like Add To Cart and Purchase to analytics and ad platforms for accurate attribution and better ad performance.\n\n### **Problem: Tracking for ecommerce is broken**\n\nCorrect attribution and conversion tracking is at the core of every ecommerce business.\n\nHowever, tracking setups suffer from..\n\n* **Missing** **data**: Stores miss on avg. \\~10-30% of conversions due to limitations of browser tracking (e.g. ad-blockers) resulting in _broken attribution data and wasted ad budget._\n* **Poor observability:** Popular tools like Google Tag Manager provide no way to check whether tracking is still working, resulting in _costly bugs that remain undiscovered._\n* **Cluttered configurations:** Operators often loose grip on their tracking setup after years of uncoordinated updates, resulting in a clutter of pixels, tags, and first-party integrations across multiple platforms.\n* **Lack of developers:** Many ecommerce teams don't have in-house devs, making it infeasible for them to integrate with existing CDP tools such as Segment.\n\n## **Solution: Accurate auto-tracking**\n\nConverge tracks all important events automatically – across the browser, store backend and subscription platforms. No technical expertise required.\n\nBecause conversions are being tracked on the store backend rather than the browser, Converge can track 100% of conversions and forward these to relevant ad platforms and analytics tools.\n\nUnlike Segment or other CDPs, Converge allows non-technical ecommerce operators to set this tracking up in minutes.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/7f38e933-f6ce-489f-abf6-cd11149e83d1)\n\nOnce tracking is set up, Converge aggregates data from all sources and provides a single overview of ecommerce KPIs.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/5eb15873-3ea8-4e32-8e96-2efa057df4d7)\n\nUsers can also break down attribution metrics across channels, campaigns, adsets, and even ads, showing what is driving growth on a granular level.\n\n![uploaded image](/media/?type=post&id=72382&key=user_uploads/772323/eb78601f-2d1a-4a75-a35b-f5e7db168d3f)\n\n## **Our ask**\n\n* Sign up for [**Converge**](https://www.runconverge.com?utm_source=yc&utm_medium=organic&utm_campaign=launch-yc) today and test it for free!\n* If you know any **ecommerce brands or agencies**, we would love to chat!", "url": "https://www.ycombinator.com/launches/IpS-converge-segment-for-ecommerce", "votes": 24, "created_at": "2023-06-20T14:03:45.650Z" } ] }, { "id": 29006, "name": "Inari", "slug": "inari", "former_names": [ "Backpocket" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6146717f3a538ddcc342da7a54a025ac6b894c0d.png", "website": "https://useinari.com", "all_locations": "San Francisco, CA, USA", "long_description": "Inari automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. \r\n\r\nInstead of sifting through 1000’s of sales calls, support tickets, and customer feedbacks manually, Inari automates the process of extracting useful quotes, surfacing customer insights and product opportunities, then linking insights and issues with your CRM and backlog so your team can spend less time analyzing and more time building products that customers love.", "one_liner": "Your junior AI product manager", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1691035994, "tags": [ "Generative AI", "B2B", "Analytics", "Enterprise", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "B2B", "Engineering, Product and Design" ], "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/inari", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/inari.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98071724/", "x_url": "https://twitter.com/useinari", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6146717f3a538ddcc342da7a54a025ac6b894c0d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1073124, "full_name": "Frank Lee", "title": "Founder", "founder_bio": "Cofounder / CEO of Inari. Led product teams building out gamification, marketplace, and economy management on NBA Top Shot and NFL ALL Day while @ Dapper Labs. Worked on ML pricing product and scaled several cities in BizOps between 2016-2020 @ Opendoor. Data became my love language while working @ Amazon. I love all things about startups, product, marathon running, and streetwear.", "is_active": true, "linkedin_url": "https://linkedin.com/in/bizfranklee", "x_url": "https://twitter.com/knarfeel_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4919cafa87948e30d8f65168cb9a460fc0753ad0.jpg" }, { "user_id": 1160832, "full_name": "Eric Kim", "title": "Founder", "founder_bio": "CTO of Inari: Building the AI copilot connected to your workplace data to empower teams to gather context and make decisions quickly.\n\nPreviously at Amazon.com Supply Chain Forecasting and AWS SageMaker as founding tech lead for DataWrangler, owner of the SageMaker XGBoost image, and point of contact for algorithm deployment to secure GovCloud environments.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ericangelokim", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b61a58ead2fa8cedfb3829d29203543e883dba42.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87667, "title": "Inari 🦊 - Your junior AI product manager", "tagline": "Build delightful products by identifying insights and product opportunities automatically from your customer feedback, CRM, and backlog.", "body": "Hey YC 👋🏼 - Frank and Eric here from [Inari](https://useinari.com/)!\n\n### **TL;DR**\n\n[Inari](https://useinari.com/) automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. This helps your team prioritize and build products that users love — without having to sort through 1,000’s of sales calls, support tickets, or feedbacks manually.\n\nTry Inari out for free at [useinari.com](http://useinari.com) or checkout our [product demo](https://www.youtube.com/watch?v=PKrRjXW1b08).\n\n### **Problem**\n\nThe canonical startup advice is “talk to your users” and “deeply understand customer problems,” but executing it is easier said than done. The volume of customer feedback and qualitative data is exploding, living fragmented across hundreds of tools, making it difficult and time-consuming to convert customer data into useful insights and product opportunities.\n\nWithout a clear view of what customers are saying, product teams miss out on signals that can improve their product, reduce churn, and drive revenue growth. Missed signals means your engineering team wastes time building features customers don’t actually need.\n\n### **Explore accurate customer insights**\n\nInari allows you to explore your customer feedback, convert it into actionable requests, defects, praises, and learnings, then deeply understand exactly what’s top of mind for customers. Each insight gets auto-linked with relevant customer feedbacks and your CRM, so you can measure how frequent and valuable an insight is based on feedback.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/0e4651d3-cf6b-4349-8f43-d2a6c97afef8)\n\n### **Unify feedback, analyze it at scale**\n\nInari unifies your customer feedback from sources like Gong, Intercom, Zendesk, and Slack then automates the tedious process of sifting through it, extracting useful quotes, measuring sentiment, triaging feedback to specific teams, and linking it back to insights and issues (goodbye Productboard 👋🏼) using personalized fine-tuned AI models.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/5fc0851a-7ae9-4dba-a9cb-7736f8144ae1)\n\n### **Prioritize product opportunities**\n\nInari syncs with your Jira and Linear backlog, so you can ingest existing issues then auto-link it to relevant feedbacks and your CRM. This enables product builders to know exactly which company accounts are requesting a feature, its revenue impact based on deal size, then identify and resolve requests and edge cases flagged in relevant customer comments.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/8e9e5f59-9057-4035-a69b-df6835dc3e8c)\n\n### **Accelerate product development and prototypes**\n\nSince Inari is connected to customer data and organizes product context, you can generate deep dives, PRDs, and AI prompts grounded in customer needs in one-click. As AI coding tools improve, a key bottleneck to building better features is task clarity - Inari makes it easy to convert customer context into well-defined prompts that steer AI coding tools in generating prototypes.\n\n![uploaded image](/media/?type=post&id=87667&key=user_uploads/1073124/acafcf7e-5fc9-42d9-afd3-4e0207091582)\n\n### **Get started 💯**\n\n* If your product, engineering, or CX team needs to convert overwhelming volumes of customer data into actionable insights and product opportunities, [get started today](https://app.useinari.com/api/auth/signup) or check out [Inari](http://useinari.com) to learn more.\n* We’d love any feedback and are always down to geek out about product development. [Talk to us](https://cal.com/frank-lee-inari/30min) about your analysis, product discovery, prioritization, or AI prototyping problems so we can build something delightful for you!", "url": "https://www.ycombinator.com/launches/Mnz-inari-your-junior-ai-product-manager", "votes": 21, "created_at": "2025-02-17T18:24:09.722Z" }, { "id": 80084, "title": "🦊 Inari: AI-powered product discovery and feedback analytics", "tagline": "Surface insights and revenue-generating product opportunities from your customer data auto-magically", "body": "Hey YC friends👋🏼 - Frank and Eric here from [Inari](https://useinari.com/)!\n\n## **TL;DR**\n\n[Inari](https://useinari.com/) surfaces customer insights and revenue-generating product opportunities from your customer data auto-_magically_ using AI.\n\nInstead of sifting through 100s of user interviews or 1000s of pieces of customer feedback manually, Inari automates the process of highlighting interesting quotes, identifying trends, uncovering impactful feature requests, and tying helpful prioritization metrics with features so your team can spend less time analyzing and more time building products that customers love. See our [product demo here](https://www.youtube.com/watch?v=vn3AExWP5xA).\n\n## **The Problem**\n\nThe canonical startup advice has always been, \"_go talk to your users._\" However, the process of listening to users, extracting meaningful insights, and figuring out what products to build based on actual customer problems is time-consuming. Most teams fail to make use of their customer data, resulting in missed revenue and higher churn.\n\nTop-performing teams that do talk to users have to spend significant effort manually analyzing and triaging customer feedback, sales convos, and support tickets. It’s tough to actually pull out impactful feature ideas and product opportunities from customer interactions and then persuade your team to prioritize them. Pulling together effective customer anecdotes and convincing prioritization metrics requires a ton of research and analysis.\n\n## **How It Works**\n\nIn the near future when AI makes us 10x more productive with task execution, deeply understanding customer problems and identifying impactful initiatives to take on becomes increasingly important. Inari helps automate the monotonous parts of customer analysis and product discovery across several steps.\n\n**Analyze customer interactions on autopilot**: Inari integrates with customer data sources (like Slack, Salesforce, and Gong), ingests customer interactions (like feedback, support tickets, and sales convos), and then automatically analyzes it all. Inari highlights key quotes, scores sentiment, and then triages feedback to specific teams, saving your product and support teams from having to do it manually.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/3424c0c3-51ff-4372-96b9-0f77052aec5c)\n\n**Automated accurate insights**: As feedback pours in, Inari clusters it into accurate insights (requests, defects, praises, learnings, competitor mentions) so you can understand what’s top of mind for customers. Each insight comes with volume and sentiment metrics, alerts, and VoC dashboards that automate reporting. You can customize taxonomies and prompts to tailor analysis to your team’s needs.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/214b1290-e4dd-432d-8d7a-0be12fb8f717)\n\n**Uncover product opportunities**: Inari surfaces potential backlog issues based on customer feature requests or AI-recommended solutions for top customer problems. Every issue auto-links to relevant customer data like deal size, company stage, mention volumes, and specific anecdotes – giving you a 360° view when prioritizing what issues matter most.\n\n![uploaded image](/media/?type=post&id=80084&key=user_uploads/1073124/3f6e8e5e-ebf2-420d-b649-ab3ee0fc453c)\n\n## **Our Asks 🙏🏼**\n\n* If your product, engineering, CX, or sales team wants to convert overwhelming volumes of customer data into actionable insights, VoC reporting, and alerts, you can [get started today here](https://app.useinari.com/api/auth/signup) or check out [useinari.com](http://useinari.com) to learn more.\n* If you’re interested in surfacing product opportunities and generating a 1st draft of your backlog based on customer requests using AI, let’s [chat live](https://calendly.com/frank-xu8/chat-with-frank-inari) or email [frank@useinari.com](mailto:frank@useinari.com) so I can onboard your team as design partners.\n* We’d love any feedback and are always down to geek out about product development. Talk to us about your analysis, product discovery, or prioritization problems so we can build something delightful for you!", "url": "https://www.ycombinator.com/launches/Kpg-inari-ai-powered-product-discovery-and-feedback-analytics", "votes": 39, "created_at": "2024-04-10T22:50:35.177Z" }, { "id": 73813, "title": "🦊 Inari: AI-Powered Customer Insights Hub", "tagline": "Customer feedback that analyzes itself ✨. Unify your feedback then automatically analyze and generate product insights at scale.", "body": "## **TL;DR**\n\n[**Inari**](https://useinari.com/) is the AI-powered hub for unifying customer feedback and generating product insights. Instead of sifting through 100’s of pages of user interviews or 1000’s of pieces of customer feedback manually, you can use Inari to consolidate customer feedback across data sources, automatically highlight useful quotes, categorize sentiment, and generate insights. You can use this data to understand what’s on your customer’s minds, figure out which themes will boost engagement and retention, then prioritize your roadmaps.\n\n**If any product, UX research, design, support, or other teams want an automated way to analyze customer themes, requests, quotes, and other insights for planning, triaging requests, and other use cases - let us know and we’d love to get this live for you (**[**frank@useinari.com**](mailto:frank@useinari.com)**)!**\n\n## **The Problem(s)**\n\n* Product, design, and engineering teams rely on feedback and research data for insights and empathy for building products people love. However, this data lives across several sources like Salesforce, Zendesk, customer interviews living in PDFs, and data sitting in CSVs so it’s tough to maintain a 360-degree view of opportunities to improve customer experience.\n* It’s time consuming to manually sift through, analyze, and tag customer feedback data to be used for roadmap and feature planning. Having to deal with and endless amount of copying and pasting feedback + fiddling with context limits in ChatGPT and Claude is also mind-numbing. We had several designers and UX researchers come inbound saying they have to sift through 100+ pages of customer research transcripts for themes 🤯.\n* It’s hard to know the exact volume of customers that are mentioning a specific problem or topic and having this data on hand is critical for sizing magnitude for problems when deciding what features or themes to prioritize.\n\n## **How It Works**\n\n**Consolidate feedback in one place**: Sales notes, user interviews, Slack requests, CSVs with customer feedbacks... unify them all in Inari. Inari ingests feedback from unstructured and structured sources, consolidates them into a unified hub, then provides a streamlined workflow to manage it all.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/2af2e6fe-cd27-440c-9b01-04280bc2bd08)\n\n**Automate feedback analysis**: Inari automatically analyzes customer sentiment and highlights top requests, defects, praises, and learnings across your customer feedback and interviews so your team doesn't have to review hundreds of sources manually.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/e23cb606-4066-4836-9a8e-d0f31088949c)\n\n**Surface product insights automatically**: Reduce churn and build delightful products based on insights, feature requests, bug fixes, and learnings that Inari extracts from connected feedback. Inari attributes insights to the feedback most related to it, so you can size how frequently an issue is mentioned when prioritizing your backlog.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/5b4dc325-9975-4d3c-8dc6-1ec5faa5bdb1)\n\n**Visualize customer trends**: Search, filter, and monitor trends in dashboards built on your consolidated feedback, insights, and customer data.\n\n![uploaded image](/media/?type=post&id=73813&key=user_uploads/1073124/735992d9-bf16-4b47-b3bd-ae79590a1e7e)\n\nCheck out the quick product demo [here](https://www.youtube.com/watch?v=N91aAfrWZ4E&t=5s).\n\n## **Founder Background**\n\nFrank and Eric met back in 2014 while working together at Amazon. Eric worked @ AWS for 7 years building out Sagemaker, owned their XGBoost image, and deployed algos for the US government before transitioning to full-stack eng for securely managing health and bio data @ Betteromics. Frank worked on ML algorithms an interfaces @ Opendoor between 2016-2020 and managed products like NBA Top Shot + business intelligence teams @ Dapper Labs and Amazon.\n\n## **Our Asks 🙏🏼**\n\n* If you know any teams struggling with extracting takeaways from their feedback data, whether it’s thousands of structured feedback from Zendesk or a few 10 page customer interview transcripts, send them our way and we’d love to help them out! Reach us at [frank@useinari.com](mailto:frank@useinari.com) or [eric@useinari.com](mailto:frank@useinari.com).\n* We’d love any feedback! Especially around how your team is currently managing feedback and roadmap items, any frustrations, and which datasets you need handled.", "url": "https://www.ycombinator.com/launches/JCX-inari-ai-powered-customer-insights-hub", "votes": 34, "created_at": "2023-08-04T14:55:51.908Z" } ] }, { "id": 29087, "name": "ParadeDB", "slug": "paradedb", "former_names": [ "Retake" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6668d68dbb65664dcc7f40eff60e4ee586f09132.png", "website": "https://paradedb.com", "all_locations": "San Francisco, CA, USA", "long_description": "One Postgres for your application data, full-text search, vector retrieval, and aggregations.", "one_liner": "You should just use Postgres.", "team_size": 11, "industry": "B2B", "subindustry": "B2B", "launched_at": 1689280457, "tags": [ "Developer Tools", "Analytics", "Open Source", "Infrastructure", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B" ], "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": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We (Phil and Ming) previously built Whist, a cloud-hybrid browser, together with an amazing team of 20 from 2020 to 2023. We originally met at university, in 2016, during the earliest days of orientation, and quickly became close friends, pitching each other startup ideas throughout college, until we decided to make the jump during our senior year.The idea for ParadeDB came from building on the experience acquired in the cloud infrastructure market during our Whist days, and from talking with 50+ customers in the beginnings of YC S23. We initially applied to YC with a completely different idea, but pivoted into what became ParadeDB after seeing more customer interest for the infrastructure we had built to service our prior idea, a sustainability platform, than the idea itself; and thus ParadeDB was born." }, { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "We were looking for an environment that would help us make something people want and not get caught in all the other non-essential parts of building an early-stage company. Our experience with YC was shaped by this mindset from application to fundraising and we had a great experience." }, { "question": "How have you kept in touch with the YC community and continued to use YC resources & programs since the batch ended?", "answer": "We’ve made a bunch of friends in YC, are still in touch with our Group Partner and batchmates, and frequently interact on Bookface." }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "ParadeDB started during the YC batch, in Summer of 2023. We first released `pg_search`, our full-text search product in Postgres. A few months later we released `pg_analytics`, our analytics product in Postgres. We eventually combined them both into a single Postgres extension to offer full-text search and analytics in Postgres. Today, we’re productionizing both in ParadeDB and working to serve increasingly large customers." }, { "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?", "answer": "Postgres’ full-text search and analytics capabilities, two critical workloads for SaaS, finance, retail, and countless more industries, are a far cry from dedicated data stores like Elasticsearch. ParadeDB is fixing that." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "ParadeDB is part of the “Postgres for everything” movement, enabling companies to run increasingly larger parts of their data infrastructure on Postgres in an open-source, free of vendor lock-in world." } ], "url": "https://www.ycombinator.com/companies/paradedb", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/paradedb.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/paradedb", "x_url": "https://twitter.com/paradedb", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/paradedb", "github_url": "https://github.com/paradedb", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6668d68dbb65664dcc7f40eff60e4ee586f09132.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/ce5ca15131669146d463d97b0579fcdc2d4b71e2.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 317980, "full_name": "Philippe Noël", "title": "Founder/CEO", "founder_bio": "Founder @ ParadeDB. Previously @Whist, @Microsoft. Harvard CS'20. From Québec.", "is_active": true, "linkedin_url": "https://linkedin.com/in/philippemnoel", "x_url": "https://twitter.com/philippemnoel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e6ca7eedf6383c2ebb46a29a5f9e96a6e976add1.jpg" }, { "user_id": 1341340, "full_name": "Ming Ying", "title": "Founder", "founder_bio": "Founder @ ParadeDB", "is_active": true, "linkedin_url": "https://linkedin.com/in/ming-ying", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/19af7b14da5cf743d9de76ee556ebaf69adc3ebb.jpg" } ], "jobs": [ { "id": 74017, "title": "Database Engineer — Storage & Query Execution", "url": "https://www.ycombinator.com/companies/paradedb/jobs/GCpYraM-database-engineer-storage-query-execution", "location": "San Francisco, CA, US / Remote (CA; US)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.15% - 0.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Rust", "Distributed Systems" ] }, { "id": 74019, "title": "Distributed Systems Engineer — Postgres Platform", "url": "https://www.ycombinator.com/companies/paradedb/jobs/yWsaLaN-distributed-systems-engineer-postgres-platform", "location": "San Francisco, CA, US / Remote (US; CA)", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$150K - $250K", "equity_range": "0.15% - 0.40%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "Amazon Web Services (AWS)", "Bash/Shell", "Go", "Kubernetes", "PostgreSQL", "Elasticsearch", "RDS/Aurora", "Distributed Systems", "Docker" ] } ], "news": [ { "title": "ParadeDB takes on Elasticsearch as interest in Postgres explodes amid AI boom | TechCrunch", "url": "https://techcrunch.com/2025/07/15/paradedb-takes-on-elasticsearch-as-interest-in-postgres-explodes-amid-ai-boom/", "date": "Jul 15, 2025" } ], "launches": [] }, { "id": 29103, "name": "Inconvo", "slug": "inconvo", "former_names": [ "ten.dev", "Ten" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/42126d50fed615bc74167d22b4985b25e9d25fad.png", "website": "https://inconvo.com", "all_locations": "Limerick, County Limerick, Ireland", "long_description": "Inconvo is the open-source platform for building data agents on production data. With safe queries, permissions, and structured outputs.\r\n\r\nUse Inconvo to build and deploy data agents that query production databases and can be called directly from your application. You get safe query execution, permissions, stateful conversations, and observability out of the box.", "one_liner": "Build chat-with-data agents for customer-facing applications", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1690946743, "tags": [ "Developer Tools", "Analytics", "API", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Ireland", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/inconvo", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/inconvo.json", "year_founded": 2023, "city": "Limerick", "country": "IE", "linkedin_url": "https://www.linkedin.com/company/inconvoai", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/42126d50fed615bc74167d22b4985b25e9d25fad.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1151062, "full_name": "Eoghan Mulcahy", "title": "Founder", "founder_bio": "Co-founder of Inconvo ", "is_active": true, "linkedin_url": "https://linkedin.com/in/eoghan-mulcahy", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7ff19867067d1703d0f567694ee725542cc8d350.jpg" }, { "user_id": 1153587, "full_name": "Liam Mulcahy", "title": "Founder", "founder_bio": "Co-founder", "is_active": true, "linkedin_url": "https://linkedin.com/in/liam-mulcahy-418001174", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dc7299a418449aab17f1a5f3571248e5e83d537.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 97668, "title": "📶 Inconvo: Open source AI agent for customer-facing chat-with-data", "tagline": "The easiest way to add reliable chat-with-data to your product", "body": "# TLDR;\n\nInconvo helps companies add chat-with-data agents to their product. We provide a platform for configuring agent rules and directions and a simple API endpoint to call them. We’re open source — check out our repository [here](https://github.com/inconvoai/inconvo). We also offer Inconvo cloud — check it out at [app.inconvo.ai](https://app.inconvo.ai)\n\n[**https://www.youtube.com/watch?v=sbDTAbVG-WQ**](https://www.youtube.com/watch?v=sbDTAbVG-WQ)\n\n# The problem:\n\nToday, many product teams are under pressure to add “data agents” to their apps that connect to live databases and answer user questions.\n\nChat-with-data demos are easy. Shipping one to real customers is hard.\n\nMost teams start with “LLM generates SQL + prompts,” then run into three issues:\n\n* **Data safety:** you can’t reliably stop the model from pulling the wrong rows, crossing tenants, or selecting sensitive columns.\n* **Business correctness:** metric definitions, allowed filters/enums, join paths, and formats get split across prompts which can confuse the model and drift over time.\n* **Boundaries:** because the model can generate arbitrary SQL, “only allow these joins/filters/columns” becomes brittle after-the-fact validation.\n\nThe result is a second system of guardrails and checks just to make it safe to ship.\n\n### The solution:\n\nInconvo flips the approach: constrain the agent up front instead of trying to rein it in after.\n\n* **A semantic model as the contract:** define approved tables/columns, metrics, filters/enums, and join paths in one place.\n* **Constrained query plans (not SQL):** the model outputs structured query plans which are validated against your semantic model before execution.\n* **Automatic access rules:** tenant scoping and field restrictions are enforced on every request with deterministic code not prompts.\n\nYou can call your data agent from your application in just a few lines of code:\n\n![uploaded image](/media/?type=post&id=97668&key=user_uploads/1151062/a427ef4c-552e-4a7e-8675-671a08023bbf)\n\n# Our ask:\n\nCheck out our repo and leave us a ⭐ on Github: [**https://github.com/inconvoai/inconvo**](https://github.com/inconvoai/inconvo)\n\nRun Inconvo OSS locally `npx inconvo@latest dev` Or sign up to our cloud for free [**https://app.inconvo.ai**](https://app.inconvo.ai)", "url": "https://www.ycombinator.com/launches/PPI-inconvo-open-source-ai-agent-for-customer-facing-chat-with-data", "votes": 6, "created_at": "2026-02-10T17:40:07.857Z" }, { "id": 94541, "title": "Inconvo ⚟: Build MCP servers for SaaS customers", "tagline": "Make your existing data ready for AI apps like ChatGPT to use — quickly and securely.", "body": "# **TL;DR**\n\nConnect your existing database + auth provider and launch an MCP server for your customers in a few minutes.\n\n[Watch me ship an MCP server and connect it to ChatGPT in 2.5 minutes](https://www.youtube.com/watch?v=4G41AQJZMO0)\n\n# The Problem\n\nA few days ago OpenAI announced Apps for ChatGPT — a new generation of apps you can chat with, right inside ChatGPT.\n\n**An MCP server is the foundation of every Apps SDK integration**. It exposes tools that the model can call, enforces authentication, and packages the structured data plus component HTML that the ChatGPT client renders inline.\n\nYou can build an MCP server in one of two ways:\n\nA)\n\n_Load all of your API endpoints into the MCP server as tools and have the client decide which aggregation of tools it should use to fulfil user requests._\n\nThis approach **works well if you already have a highly composable API** designed for data analysis — concretely the API expresses any combination of filters, sorts, and transformations in a structured way.\n\nHowever, most SaaS APIs are designed for record management, not data analysis or flexible retrieval. These APIs break down when presented with the wide array of potential user queries which come with a natural language input.\n\nB)\n\n_Build an AI agent attached to your database which takes in natural language and dynamically generates queries based on the input  — then attach the agent to your MCP as a tool._\n\nThis is **hard to build** because you need to handle conversation state, schema introspection, agent observability, multi-tenancy and query safety.\n\n**Luckily, with Inconvo we offer AI data agents as a service so you don’t need to worry about any of that.**\n\nOverall option B outperforms option A in power and flexibility, while eliminating the need for new API endpoints as user input cases grow.\n\n# Our Solution\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/8f7eac8d-448f-4808-b34b-e3c7d0158a4f)\n\nWith Inconvo you can build a powerful AI agent for data analysis on top of your database and make it available to your users in your own app or the AI apps they already use like ChatGPT.\n\n### How it works\n\n1) Connect your existing database\n\n2) Link your existing authentication and set user data permissions scopes\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/9e056431-135c-4066-b637-5f48d58cd1db)\n\n3) Launch a remote authenticated MCP server in a few clicks, which can be linked easily by your users to ChatGPT etc.\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/0a85474a-2589-4033-afab-f8920ed79b61)\n\n### Inconvo handles the Details\n\nWe give you agent traces and logs for out of the box observability\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/33078fb7-d7bf-43ea-9da1-bd7af1651e73)\n\nAnd a semantic layer so you can improve the data agents performance through context engineering without needing to write any extra code.\n\n![uploaded image](/media/?type=post&id=94541&key=user_uploads/1151062/19a1ea68-0999-4876-8cdb-8992d9bce1e7)\n\n\n# Ready to ship MCP servers for your customers?\n\nYou can **try inconvo today for free** by visiting [**https://inconvo.com**](https://inconvo.com) and creating an account.\n\nOr book a call: [**https://inconvo.com/demo**](https://inconvo.com/demo)", "url": "https://www.ycombinator.com/launches/Oar-inconvo-build-mcp-servers-for-saas-customers", "votes": 10, "created_at": "2025-10-09T21:24:28.025Z" }, { "id": 93332, "title": "Inconvo: AI agents for customer-facing analytics", "tagline": "Build ChatGPT-style analytics into your product", "body": "# **TL;DR:**\n\nInconvo makes it easy to build and deploy AI analytics agents into your SaaS products, so your customers can quickly interact with their data.\n\n# **Problem**\n\nSaaS products typically offer dashboards and reports, which work for high-level metrics but are clunky for drill-downs and slow for ad-hoc questions. \n\nModern users, shaped by tools like ChatGPT, now expect a similar degree of speed and flexibility when getting insights from their data. \n\nTo meet these expectations, you need to ship an AI analytics agent, but these are painful to develop and manage.\n\n# **Solution**\n\nInconvo is a platform built from the ground up for developers building AI agents for customer-facing analytics.\n\nWe make it simple for agents to access data by connecting to SQL databases.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/a56e965c-a51e-42ad-b63b-a8cdae08d317)\n\nWe provide a semantic model to create a layer that governs data access and defines business logic.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/8f7567c1-2926-4a1d-915d-5fb52444a9a6)\n\nWe support multi tenant databases by scoping the data an agent can see to specific tenants on a conversation basis.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/1ddec989-a3aa-4e3e-b2dd-0cc525fdc80b)\n\nWe offer a chat playground making it easy to test agents offline.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/edfcd6cf-e3b6-4157-9acf-6949259e1f6b)\n\nWe expose a developer-friendly API for easy integration and conversation logs to track user interactions. For observability we show a trace for each agent response, making agent behaviour easily debuggable.\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/bd2f2ae8-a30f-4131-bb89-eac30a0a5821)\n\nHere’s a deeper dive demo video for interested developers showing how we create and call an agent via the API in \\~5 minutes.\n\nhttps://youtu.be/4wlZL3XGWTQ\n\n# Ask\n\nIf this problem is one you face, try us out!\n\n[Book a demo](https://inconvo.com/demo) or [Sign up for free](https://auth.inconvo.ai/en/signup).\n\n![uploaded image](/media/?type=post&id=93332&key=user_uploads/1151062/14c14e6a-af3a-4ebf-a99f-79829304ec03)\n\n", "url": "https://www.ycombinator.com/launches/OHM-inconvo-ai-agents-for-customer-facing-analytics", "votes": 8, "created_at": "2025-08-26T14:03:59.256Z" }, { "id": 88017, "title": "Inconvo: Ask-AI for customer-facing analytics", "tagline": "Build an AI-first analytics experience your users will obsess over.", "body": "# **TLDR;**\n\nInconvo **makes it easy for developers to add Ask AI for customer-facing analytics** so that users can ask questions on their data in natural language. \n\n[Watch our demo!](https://youtu.be/1kpS48ifOAY)\n\nWith Inconvo, shipping AI-first analytics is easy. Just send a user question to our API, and it will respond with a chart, table, or text.\n\n# **The Problem**\n\n**Ask-AI for customer-facing analytics should deliver on its promise of being intelligent**, capable of answering dynamic user questions and not limited to a set of basic canned prompts.\n\nBut, **building genuinely intelligent Ask-AI for customer-facing analytics is hard.**\n\nYou need…\n\n**An AI Agent** to dynamically retrieve relevant data that:\n\n* Automatically connects to your database.\n* Intelligently queries, joins, filters, and transforms data based on user questions.\n* Responds with answers in human-readable formats (text, chart, table).\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/2afe2960-8150-4296-95e6-9c522ac7381d)\n\n**AI Evaluations** to measure you agent’s performance before and after deployment that:\n\n* Allows you to build a dataset of conversation-answer pairs for evaluation.\n* Assess your agent's ability to answer these evaluation pairs.\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/0dec4f67-821f-46b1-af8a-bad3d9896a5a)\n\n**A Semantic Layer** to ensure accurate data retrieval that:\n\n* Maps user terminology to database field names.\n* Facilitates the creation of computed fields and alternative field labels.\n\n**Data Access Control** to restrict your AI agent’s database access that:\n\n* Allows you to turn off access to whole tables or individual columns.\n* Allows you to set if a table can be queried directly or only joined into.\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/1b92ea04-f968-4ecb-b419-9495ae2b328b)\n\n**Multi-tenancy support to** ensure results are scoped to the requestor’s access that is:\n\n* Configurable on a per-request basis.\n* Defined by you based on your existing data structures.\n\n# **Our Solution**\n\n**Inconvo provides a single API call to power genuinely intelligent Ask AI for customer-facing analytics.**\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/50ba0c22-7d2e-4ff4-bd4f-8ff457adb212)\n\nBehind [this API call](https://inconvo.ai/docs/api-reference/ask), Inconvo handles all the hard problems of Ask AI for customer-facing analytics.\n\n[Inconvo connects to your database](https://inconvo.ai/docs/guides/connect/) to automatically retrieve the right data to answer your users’ questions. Then, you’re in charge of presenting the API responses to your users in a way that fits your design.\n\n![uploaded image](/media/?type=post&id=88017&key=user_uploads/1151062/d9f04fae-8c25-4146-b940-f012a65b890c)\n\n**Inconvo is purpose-built to overcome the challenges of Ask-AI for customer-facing analytics**, providing tools that handle multi-tenancy, database access control, [AI evaluation](https://inconvo.ai/docs/guides/evaluate/), and a semantic layer.\n\n# **Our Asks**\n\n**Share** - talk to your friends and colleagues about Inconvo.\n\n**Connect** - ping [eoghan@inconvo.ai](mailto:eoghan@inconvo.ai) if you want to chat more or make an intro.\n\n**Engage** - [book a demo call](https://inconvo.ai/request-demo).", "url": "https://www.ycombinator.com/launches/Mtd-inconvo-ask-ai-for-customer-facing-analytics", "votes": 39, "created_at": "2025-02-25T17:26:15.958Z" } ] }, { "id": 29154, "name": "Catamaran", "slug": "catamaran", "former_names": [ "Ultravity", "CatX" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0af944f6ad96c6f8c2095e8c485de560a528833.png", "website": "https://www.trycatamaran.com", "all_locations": "London, England, United Kingdom", "long_description": "Catamaran uses AI to help people make clearer, faster decisions about risk. Our platform brings all internal and external risk data into one easy-to-understand workspace. By automating data gathering, checking, and scenario testing, we help insurers, reinsurers, brokers, and investors quickly understand and manage their risks. Catamaran also provides a regulated marketplace to easily buy, sell, and manage insurance coverage.", "one_liner": "The AI-powered risk decision platform ", "team_size": 5, "industry": "Fintech", "subindustry": "Fintech -> Insurance", "launched_at": 1687023200, "tags": [ "Machine Learning", "Finance", "Analytics", "Insurance", "Investing" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Acquired", "industries": [ "Fintech", "Insurance" ], "regions": [ "United Kingdom", "Europe", "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/catamaran", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/catamaran.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/catamaranrisk/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/b0af944f6ad96c6f8c2095e8c485de560a528833.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": 635059, "full_name": "Benedict Altier", "title": "Founder", "founder_bio": "Benedict has advised more than 10 leading insurers and asset managers working across insurance, reinsurance, and risk modeling. He is also a front-end developer with a decade's worth of experience designing and building web applications. He graduated with a 1st class degree in Chinese Studies from the University of Oxford. As a visiting student at Peking University, he advised leading Chinese technology companies including a spin-out from Baidu. ", "is_active": true, "linkedin_url": "https://uk.linkedin.com/in/benedict-altier-0041748b", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1dab89abad066a8fdb09e97fb62b1a097a4d29d6.jpg" }, { "user_id": 1360323, "full_name": "Lucas Schneider", "title": "Founder/CTO", "founder_bio": "Building CatX to revolutionize risk transfer for insurers. Bringing my expertise in financial markets and investing to the insurance world. \n\nStarted my career in Credit Securitisation at Barclays in London where I structured and executed multiple transactions in excess of $10bn+ in value. Oxford PhD Candidate in Machine Learning for Gene Editing. Previously, leading the research team at a web3 hedge fund, focusing on infrastructure and decentralized finance investments.\n\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/lucas-sch", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/358ede5a7b0831d4ff15db816976f97505db9b0f.jpg" } ], "jobs": [], "news": [ { "title": "CatX Raises US$2.7 Million to Bring More Alternative Capital into the Insurance Sector | Insurtech Insights", "url": "https://www.insurtechinsights.com/catx-raises-us2-7-million-to-bring-more-alternative-capital-into-the-insurance-sector/", "date": "Nov 24, 2023" }, { "title": "Our favorite startups from YC's Summer 2023 Demo Day, Day 1 | TechCrunch", "url": "https://techcrunch.com/2023/09/06/ycombinator-demo-day-one-summer-2023/", "date": "Sep 06, 2023" }, { "title": "Risk exchange start-up CatX accepted into Y Combinator accelerator - Artemis.bm", "url": "https://www.artemis.bm/news/risk-exchange-start-up-catx-accepted-into-y-combinator-accelerator/", "date": "Jun 23, 2023" } ], "launches": [ { "id": 88573, "title": "Catamaran: Intelligent Catastrophe Risk Analysis and Underwriting 🌊", "tagline": "The smartest way to analyze natural catastrophe risks for any property, location, or business.", "body": "Hey YC! We’re the CatX team, and we are excited to announce the launch of [Catamaran 2.0](https://trycatamaran.com/)—the smartest way to analyze natural catastrophe risks for any property, location, or business.\n\n🔍 **Problem**\n\nOrganizations today struggle with outdated, slow, and expensive processes for assessing natural catastrophe risks. Traditional tools lack comprehensive insights, require significant manual effort, and leave critical gaps in understanding how disasters like wildfires, hurricanes, earthquakes, and severe weather could impact their assets and portfolios.\n\n💡 **Our Solution**\n\nCatamaran makes catastrophe risk analysis effortless and powerful. Just upload your property details or any relevant documents, and Catamaran instantly generates comprehensive risk insights using extensive historical data across all major catastrophe perils—including wildfires, hurricanes, earthquakes, typhoons, weather, hail and more.\n\n\n\nPowered by advanced AI agents, Catamaran quickly identifies errors, provides clarity from complex datasets, and delivers insights previously only available through costly, manual underwriting.\n\nWe spent the past two years helping institutional investors understand, model, and invest in catastrophic risk. Frustrated by outdated workflows in underwriting and risk assessment amidst modernizing processes everywhere else, we built Catamaran as our solution.\n\n⚡ **What Catamaran Can Do:**\n\n* 📚 **Historical Risk Analysis:** Evaluate location-specific risk profiles based on hundreds of years of historical data.\n* 🛡️ **Optimal Insurance Protection:** Automatically identify the best insurance structures—parametric or traditional—tailored to your unique risk exposure.\n* 📄 **Advanced Document Extraction:** Effortlessly process complex, unstructured documents to rapidly extract key insights.\n* 📈 **Calculate Loss & Scenario Analysis:** Instantly conduct sophisticated scenario analyses to quantify potential losses for proactive risk management.\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/e8343eea-4ad1-4a95-8674-d2a4e1d2bfb8)\n\n⚙️ **Use Cases**\n\n* 🏦 **Insurers:** Accelerate underwriting, cut costs by up to 90%, and precisely manage portfolio risks.\n* 📊 **Brokers:** Transform your quoting process with faster, more accurate risk assessments.\n* 🏢 **Businesses & Investors:** Confidently evaluate and manage catastrophe risk exposure across investments, portfolios, and operations.\n* ⚖️ **Regulators:** Enhance regulatory oversight and compliance with transparent, data-driven risk analytics.\n* 🛠️ **Developers:** Easily integrate catastrophe risk analytics into your apps using our developer-friendly API\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/de65f188-e565-4c35-99e7-4a149dfc73fb)\n\n👥 **The Team**\n\nCatamaran is built by the CatX technology team led by:\n\n**Benedict Altier**, insurance consultant with experience modeling programs for leading insurers like AXA, Beazley, and MS Amlin, ex-Oxford.\n\n**Lucas Schneider**, Oxford PhD candidate in Machine Learning, ex-Barclays Investment Banker, ex-McKinsey.\n\n**Jon Wood**, formerly on the retro leadership team at top insurance broker AON and previously at Guy Carpenter (Marsh) and Willis.\n\n**Matthew Salamon**, experienced software developer formerly at AON, PwC and Balancer.\n\n🙏 **Our Ask**\n\nIf you manage or insure properties at risk, we'd love to show you how Catamaran can streamline your process and enhance your decision-making:\n\n\\- Email us directly: [catamaran@catxglobal.com](mailto:benedict@catx.re)\n\n\\- Schedule a quick demo here: \\[[trycatamaran.com](http://trycatamaran.com)\\]()\n\nCatamaran: The future of intelligent catastrophe risk analysis.\n\n– Benedict, Lucas & the CatX Team\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/5ec96af3-9467-4beb-9127-d6aa336ed3af)\n\n![uploaded image](/media/?type=post&id=88573&key=user_uploads/635059/a70b0e67-95fe-4e9a-aaf4-c5f74b643729)\n\n", "url": "https://www.ycombinator.com/launches/N2b-catamaran-intelligent-catastrophe-risk-analysis-and-underwriting", "votes": 45, "created_at": "2025-03-13T17:17:13.085Z" }, { "id": 72510, "title": "CatX - the digital marketplace for insurance risk", "tagline": "We are the best way for insurance companies to offload risk and for asset managers to invest in an attractive, uncorrelated asset class. ", "body": "CatX is a digital marketplace connecting insurance carriers with institutional investors to trade and transfer insurance risk efficiently. We help to make insurance risk models understandable and accessible for asset managers so they can unlock new sources of return. In addition, we streamline and digitalize the entire risk transfer process, so insurers can get faster, cheaper access to capital from our partner funds.\n\n**❌ The Problems:**\n\n1. **Rising hedging and funding costs for insurers,** US property rates are up 265% over a six-year period\n2. **Highly inefficient risk transfer markets,** with average cost ratios of 40% remaining largely unchanged despite recent technological advancements\n3. **Slow and expensive set-up and structuring processes** when issuing new insurance-linked products, involving multiple parties\n4. **Little secondary market liquidity for insurance-linked securities** due to their complex economics and limited availability of risk models\n5. **Poor analytics or data-drive insights** for understanding novel areas of risks\n\n**💡Our Solution**\n\nCatX addresses these challenges by simplifying the market and providing access to world’s most advanced modeling technologies directly within our platform. In addition, we streamline the origination process, including legal setup and pricing, and offer an electronic secondary trading venue coupled with sophisticated analytics.\n\nCatX helps:\n\n* **Insurers** to access capital at **better rates** through direct capital markets access,\n* **Investors** to unlock new investment opportunities in an uncorrelated asset class,\n* **Protection buyers** find more efficient structures to offload risks, reducing the protection gap for novel and emerging risks.\n\n ![uploaded image](/media/?type=post&id=72510&key=user_uploads/1360323/ca917659-8d2c-4371-a236-a1fc95a58903)\n\n\n**🙏Our Ask**\n\nConnect us with\n\n* **Investors** interested in accessing new sources of uncorrelated returns,\n* **(Re)insurers** looking for access to more flexible capital at better rates,\n* **Businesses** looking to more efficiently transfer risks (property, weather, energy, cyber)\n* **Risk model providers** seeking new distribution opportunities.\n\n**✉️ Contact**\n\nIf you have any questions or suggestions, feel free to reach out to [Ben](https://www.linkedin.com/in/benedict-altier-0041748b/) or [Lucas](https://www.linkedin.com/in/lucas-sch/) directly or email [founders@catxglobal.com](mailto:founders@catxglobal.com).", "url": "https://www.ycombinator.com/launches/IrW-catx-the-digital-marketplace-for-insurance-risk", "votes": 23, "created_at": "2023-06-24T19:31:35.892Z" } ] }, { "id": 29157, "name": "Orbio Earth", "slug": "orbio-earth", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8b46bfc8422d4590d819ae4695c62834845a549.png", "website": "https://www.orbio.earth/", "all_locations": "Remote", "long_description": "Orbio uses satellite imagery to track methane emissions from the oil & gas industry. We sell the data to financial companies that want to invest into the best performing energy companies.\r\n\r\nUntil today, oil & gas companies use excel-based emission factors to calculate and report their emissions. As these excel-based emission factors underestimate actual emissions by ~70%, the finance companies that invest into oil & gas can’t mitigate against incoming risks from new regulations, \r\n\r\nWe have built a technology that can for the first time use satellite images to track methane from every single oil & gas facility on the planet, replacing emission factors and allowing finance companies to make the best bets on oil & gas companies that will withstand a wide avalanche of incoming regulation. In the summer 2023 our satellite-based technology got ranked #1 both in terms of accuracy and sensitivity of methane emission events by Stanford University in a peer-reviewed study, beating a range of multi-bn dollar competitors like Maxar.\r\n\r\nLearn more at https://orbio.earth", "one_liner": "Tracking methane emissions with satellites", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1687128394, "tags": [ "Satellites", "Analytics", "Climate", "Energy", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2023", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/orbio-earth", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/orbio-earth.json", "year_founded": 2021, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/orbioearth/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/orbio", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c8b46bfc8422d4590d819ae4695c62834845a549.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 934621, "full_name": "Robert Huppertz", "title": "Founder", "founder_bio": "Co-Founder Orbio Earth GmbH; Ex-ML Engineer NASA Harvest; Ex-Cervest", "is_active": true, "linkedin_url": "https://linkedin.com/in/robert-huppertz-6536a0122", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f8439326c44aa077d7671d517304a4f7c229f0ed.jpg" }, { "user_id": 855020, "full_name": "Jack Angela", "title": "Founder", "founder_bio": "Climate optimist building out product and commercial strategy @ Orbio Earth", "is_active": true, "linkedin_url": "https://linkedin.com/in/jack-angela-bab326a5", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a60ad6413ab0c3d137f4e6e8d9d64f5b9ebf567a.jpg" } ], "jobs": [], "news": [ { "title": "Orbio Earth finds methane leaks that could cost oil companies billions this year | TechCrunch", "url": "https://techcrunch.com/2024/03/13/orbio-earth-seed-round/", "date": "Mar 13, 2024" } ], "launches": [ { "id": 72376, "title": "🛰️ Orbio Earth - Monitoring methane emissions with satellites", "tagline": "We help sustainability analysts manage methane emission risks", "body": "**tl;dr** _Orbio makes it easy for sustainability and risk professionals to identify large methane emission risks across global energy portfolios. If you’re interested in finding out more check out our website _[_here_](https://www.orbio.earth/)_, and feel free to book a product demo _[_here_](https://www.orbio.earth/orbio-demo)_!_\n\nFor more information read on below 👇\n\nHi everyone, thanks for stopping by our launch YC post. We are Rob and Jack and we are on a mission to power the low-carbon transition through methane monitoring.\n\n💨 **Why methane I hear you ask?**\n\nMethane emissions from the energy industry, if prevented would have the climate impact equivalent to taking all cars and trucks off the road globally. It is a short-lived pollutant, therefore stopping this gas getting to the atmosphere is one of the best levers we have in the climate change mitigation fight.\n\n🚫 **The Problem: Poor data on understanding where emissions occur**\n\nExisting data collection processes are manual, involving hand-held cameras on a site, expensive and not frequently available on all 12 million oil & gas assets globally. Poor data collection processes mean poor data.\n\nExisting methane inventories under-represent methane emissions by around 70%. This is preventing sustainability and risk analysts from managing emissions in their global energy portfolios. Mismanagement of these emissions can lead to stock devaluations, stranded assets and increases global warming.\n\n⭐ **The solution: Global and frequent methane emissions data**\n\nOrbio helps sustainability and risk analysts identify where in their large energy portfolios the biggest methane emission risks are. Identifying previously unknown risks and doing this on a frequent basis gives these analysts the tools to effectively manage emission risks.\n\n🤖 **How it works: Processing non-methane emission satellite data**\n\nOrbio leverages the power of satellite data. We have developed an algorithm capable of processing data from satellites not previously designed to monitor methane emissions. Using these satellites enables us to deliver world-leading data across global scales, at an asset level (e.g. an oil well) and on a frequent basis.\n\n_Benchmarking assets, operators and countries on methane emission performance:_\n\n![uploaded image](/media/?type=post&id=72376&key=user_uploads/855020/9256c560-1b9c-43dd-b0ff-f4dba82c8f01)\n\n_\\\nMapping out where these methane emission risks lie in energy portfolios_\n\n![uploaded image](/media/?type=post&id=72376&key=user_uploads/855020/6cf6d1c0-82c8-45ed-bdef-7cb274bbd1c4)\n\n💰 **The opportunity: A growing market being pulled by new regulation**\n\nA sweep of regulation being introduced across the globe in 2023. This is putting pressure on the energy industry, financial professionals and insurers, totalling around 60,000 companies worldwide, to get a better understanding of what the associated emission risks in their energy portfolios.\n\n🙏 **Our ask: How you can help**\n\n* Connect us with sustainability risk analysts in the energy, finance and insurance industries. [Click here](https://www.linkedin.com/in/jack-angela-bab326a5/)\n* We are hiring, if you know anyone on the marketing and commercial side we would love to have an intro! [Click here](https://www.orbio.earth/careers)", "url": "https://www.ycombinator.com/launches/IpM-orbio-earth-monitoring-methane-emissions-with-satellites", "votes": 28, "created_at": "2023-06-19T22:48:41.505Z" } ] }, { "id": 29182, "name": "Upsolve AI", "slug": "upsolve-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/584af51898d885eead8c1806789fece6d7acaff0.png", "website": "https://upsolve.ai/", "all_locations": "", "long_description": "Upsolve AI is the analytics platform for deploying governed, grounded, and trustworthy data agents that know your business. Data teams use Upsolve's Agent Studio to get to AI-ready data foundations fast, unify and curate their context layer, and test, tune and monitor their Upsolve Data Agent to their benchmark. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-figures of annual revenue in 2 years.", "one_liner": "Deploy trustworthy data agent that know your business", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1699320905, "tags": [ "Developer Tools", "B2B", "Analytics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "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/upsolve-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/upsolve-ai.json", "year_founded": 2023, "city": null, "country": null, "linkedin_url": "https://www.linkedin.com/company/upsolveai/", "x_url": "https://twitter.com/upsolveai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/upsolve", "github_url": "https://github.com/Upsolve-Labs", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/584af51898d885eead8c1806789fece6d7acaff0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/8520ddb8ea8808309507e6ff159f839196c763ad.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/63794cc5bc71db0bf1dfd06e2668f1a57cc9124b.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 1148602, "full_name": "Ka Ling Wu", "title": "Founder/CEO", "founder_bio": "Ka Ling is the Co-founder & CEO of Upsolve AI. Before Upsolve, Ka Ling led product solution development at nPlan, a Series A AI & Construction tech startup, focusing on client expansion. Before her stint at nPlan, she spent four years at Palantir where her responsibilities ranged from managing client engagements and stakeholder relationships to spearheading the creation of Palantir's HyperAuto product from inception to market launch. Ka Ling also opened the Korea market for Palantir.", "is_active": true, "linkedin_url": "https://linkedin.com/in/wukaling", "x_url": "https://twitter.com/wukaling", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4a56f1c05e4d305eeb28f12bb95741cf59c9dec6.jpg" }, { "user_id": 1428286, "full_name": "Serguei Balanovich", "title": "Founder/CTO", "founder_bio": "Serguei is the Co-founder & CTO of Upsolve. Before Upsolve, Serguei spent seven years at Palantir where he pioneered early Supply Chain and Manufacturing commercial work, and later productized this work into Palantir HyperAuto. Serguei also worked on Palantir Apollo as a dev lead.\nOutside of software, Serguei loves puzzles, board games, and teaching.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sbalanovich", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f20a55a213817c73876806b91859ec208286d118.jpg" } ], "jobs": [ { "id": 82224, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/upsolve-ai/jobs/WCoJcdG-founding-ai-engineer", "location": "London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "£100K - £140K GBP", "equity_range": "1.00% - 3.00%", "experience": "6+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [ { "title": "Here's the pitch deck that secured $1.5 million from Hubspot", "url": "https://www.smartcompany.com.au/exclusive/pitch-deck-upsolve-ai-secured-1-5-million-hubspot/", "date": "Sep 18, 2024" } ], "launches": [ { "id": 103717, "title": "🐳 Upsolve AI - Agent Studio for Data Team", "tagline": "Deploy trustworthy and governed analytics agent that know your business and data.", "body": "**🏆 TL;DR:** Upsolve AI is context infrastructure for analytics agents. We help data teams ship analytics agents that non-technical users actually trust. Agents that pull the _right_ numbers and explain them in your business's context, not just generate plausible SQL. If you've ever tried to put an analytics agent in front of your team and quietly killed it after it gave two different answers to the same question, this is for you.\n\n\n\n## ❌ **The Problem**\n\n\"Let's just build an analytics agent.\" Every data team drowning in requests has this thought. The beta feels like magic until a non-technical user asks the same question three times and gets two different answers. Trust dies. The project quietly joins the 95% of AI POCs that never reach production.\n\nYou already know it's not the model, GPT and Claude write fine SQL. The model just has no idea how _your_ business works:\n\n* **Governance and permission can't live in a prompt.** You can't trust an LLM to implement row- and column-level access or enforce who sees what. Without governance that an agent can't override, you can't put it in front of anyone outside the data team.\n* **It pulls the wrong data and joins the wrong tables.** “gross_revenue” vs “net_revenue”, “customers” vs “users”. A semantic layer problem dressed up as a text-to-SQL one.\n* **Technically correct, practically wrong.** Your fiscal year ends in March, not December. The number is \"correct\" and still useless.\n* **Your semantic layer and context goes stale.** \"User\" got redefined twice since you scoped the project. Your semantic layer and context didn't keep up.\n* **No observability, no improvement.** If you can't trace and root-cause a bad answer, you can't improve it.\n\nThese aren't LLM model problems. They're context problems, and context lives in docs, Slack threads, validated SQL from 2021, and your analysts' heads. No amount of SQL generation skill recovers it.\n\n## ⚒️ What Agent Studio gives you\n\nA builder surface to encode context across three layers: **Structure** (schema, lineage, semantic model), **Meaning** (metrics, KPIs, business rules), and **Trust** (verified answers, usage signals, golden sets), then deploy and tune against it:\n\n![uploaded image](/media/?type=post&id=103717&key=user_uploads/1148602/44acebc6-4f8c-4fb2-86e0-cc9959bbd2df)\n\n* **Software-defined, granular permissioning** baked into the data model, enforced beneath the agent.\n* **A self-updating context layer** that captures institutional knowledge across your files and systems, so metric redefinitions and new launches don't silently break answers.\n* **End-to-end tracing, an eval harness, and a staging sandbox**. Golden query sets and LLM-as-judge scoring before a single user sees an answer, plus prompt and SQL provenance for every response in production.\n* **A compounding accuracy loop**. Wrong answers and poor behavior get flagged from real conversations and fed back, so the agent gets _more_ trustworthy over time.\n\n**End result:** No existing semantic model required to start. Your team deploys analytics agents they don't have to babysit, and your non-technical users get answers they trust, wherever they already work (Slack, your product, internal portal, or any MCP surface).\n\nTeams hit production-grade eval accuracy, clear 60–80% of their ad-hoc backlog in 7 days, and move stakeholders from a 3–5 day queue to answers in seconds.\n\n![uploaded image](/media/?type=post&id=103717&key=user_uploads/1148602/79a3a29c-482f-4119-92f5-38612bd34bdb)\n\n## 🤝 Why trust us\n\nWe’re already in production with Fortune 500 users, 100+ person BI teams, and growth-stage companies. We are the team that built HyperAuto at Palantir, and encoding messy institutional context into systems is the problem we've spent years on.\n\n## 🙏 Our ask\n\nThis is for you if you own a data or BI function and you're either:\n\n* Drowning in ad-hoc requests, where **repeat questions eat your analysts' week** and a generic GPT-on-the-warehouse attempt already fizzled, or\n* A **B2B SaaS team whose customers keep asking for deeper analytics and insights** and you don't want to spend two quarters of engineering effort building it.\n\nIf you're a Head of Data, BI lead, analytics engineer, or VP Product who lives this, [**book a demo here**](https://calendly.com/kaling-aqk/upsolve-initial-exploration) or reach me directly at [kaling.wu@upsolve.ai](mailto:kaling.wu@upsolve.ai). We'll stand up a POC against your real data warehouse, not a sandbox.", "url": "https://www.ycombinator.com/launches/Qyr-upsolve-ai-agent-studio-for-data-team", "votes": 14, "created_at": "2026-06-23T03:55:11.309Z" }, { "id": 89121, "title": "🐳 Upsolve AI - Embed GenBI in Your App", "tagline": "Spoil your users with hyper-personalized customer-facing analytics and insights that adapt on demand and “Just-Works”.", "body": "# 🏆 **TL;DR**\n\nGeneric dashboards in SAAS platform suck. Some might even say they’re dead.\n\nBut nearly all SaaS apps need a dashboard to show proof of value to stakeholders. With [Upsolve AI](https://upsolve.ai/), delight your end users with customer-facing analytics that “Just Works”, Make them want to use the analytics and love your product more.\n\nOnce you Upsolve your platform with our GenBI solution, your end users get to access adaptive and hyper-personalized analytics simply by telling your platform their persona and what kind of KPIs they care the most. They can easily drill down into the data at the speed of thought via natural language prompting. Our AI also interprets the data and provides guided insights, shedding light on what matters the most. Our AI can then investigate the data further, provide additional insights to optimize decision making.\n\n# **🤨 Problem - Generic Dashboards in SaaS apps suck.**\n\n🗺️ Can you imagine planning a cross-continent trip with nothing but a paper map?\n\n⁉️ \"Duh.\" Of course not.\n\n😵‍💫 Yet this is precisely what SaaS users endure with traditional dashboards every day. They're like paper maps showing only major highways and cities—filled with generic metrics and charts that, for the most part, have zero relevance to your customer’s unique destination.\n\n**Users get no value out of generic dashboards.** CFO, Regional directors and store managers stare at identical metrics in your expensive SaaS platform that took months to implement. Both search for answers to different questions to achieve different objectives. Both get lost. Their mission controls shouldn’t look the same.\n\n**Your teams feel this pain too.** They’ve heard “can you get this chart for me?” from their end users way too many times. Visionaries become data query processors right when product innovation matters most. You end up building the infamous “Download CSV” button in your product or exposing an API to allow your customer to extract a data cut. As a result, you lose in-product user engagement prematurely.\n\n**Dashboards should give the end user that “it gets me” feeling without the overhead.** It should create moments of delight and clarity that elevate decision-making from burden to superpower. It should be part of the reason your customers choose your product. It should turn your customers into your advocates.\n\n# **💡 Solution - With Upsolve AI, you demonstrate and enhance your value to customers**\n\nIn a world of paper-map dashboards, Upsolve delivers the magic of Modern Map Apps for your customers' data to your end users. Give each end-user intelligent dashboards tailored to their goals and objectives, real-time alerts, and highlighting trends and insights worth doing something about— an all-in-one experience that transforms static metrics into operational brilliance. [Watch the demo video below](https://youtu.be/K6GiczydAQI):\n\nWe’re ready to power your customer-facing analytics and give your users those “aha!” moments with our AI features below:\n\n1. **AI Report Generator: Adaptive, Hyper-personalized Analytics and Dashboard** 🪄\\\n Give every end user that bespoke experience they deserve. Upsolve’s next-gen dashboard spins up analytics and interfaces dynamically based on user’s unique role, surfacing precisely the KPIs that drive decisions, at the right time.\n\n ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/9fb2c6dd-b242-44fd-9995-6aba0933bdb2)\n\n2. **AI Drill Down: Natural Language Slice & Dice**\\\n Built to make data-driven decision more accessible to less tech-savvy users. Applying 5 filters? Text to SQL? Skip these all together. Let you users query in natural language and watch the magic happen at the speed of thought.\n\n ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/6fe57514-06d4-44d2-b1ff-4d78ec735a1e)\n\n3. **AI-Guided Insights: Interpretation**\\\n An AI that picks up the signs for you 🎏 Upsolve flags important data signals and anomalies and push alerts to the user automatically, with no need to set up any automations up front.\n\n ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/c946ad6b-36bc-4f63-bfb7-e732ede6178b)\n\n4. **AI-powered Investigation: Great analysts identify what users DIDN’T ask for but what they actually need**\\\n Upsolve connects the dots, spots the trends, and asks questions you didn’t even think of to get the big “whys” answered. Guide your team’s decisions with AI-powered nudges.\n\n ![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/26a6d178-c603-4cc0-aeab-0df6614289a0)\n\n\nGive your users a dashboard, along with a customer success manager, AND a data analyst that proactively provides intelligence without them asking. That’s Upsolve AI, the all-in-one data experience your customers deserve, without you lifting a finger.\n\n# **🙏 Ask**\n\nTempted to Upsolve your product and embed GenBI in your product? Grab a time slot [here](https://calendly.com/kaling-aqk/upsolve-initial-exploration) with us today or reach us at kaling.wu@upsolve.ai!\n\n![uploaded image](/media/?type=post&id=89121&key=user_uploads/1148602/2c9606ff-c549-4c9d-a83d-15ec22fb82ce)\n\n", "url": "https://www.ycombinator.com/launches/NBR-upsolve-ai-embed-genbi-in-your-app", "votes": 45, "created_at": "2025-03-31T15:41:46.714Z" }, { "id": 84312, "title": "🐳 Upsolve AI - Embedded Business Intelligence (BI)", "tagline": "Allow yours users to build and customize their dashboards and reports within your platform.", "body": "🏆 **TLDR**\\\n[Upsolve AI](https://upsolve.ai/) allows you to build and deliver customer-facing analytics to your end-users via an embeddable dashboard.\n\nWe’ve just released our newest feature: **Personal Workspace for dashboards. This allows your end users to build their own dashboards and reports within your product.** Your users no longer need to wait for your customer success manager or product team to get the metrics or reports they need! 📈\n\nSome examples of how our customers enable their end users with this Upsolve feature:\n\n* An expense management platform allows their end users to build out customized receipt audit reports\n* An AI observability platform enables their solution engineers and enterprise customers to build tailored observability metrics report\n* A supply chain risk management platform empowers their Fortune 500 customers to build out targeted supply chain visibility dashboard\n\n**🤨 Problem**\\\nMost B2B SaaS companies need to build dashboards. [**A true dashboard communicates your product value to all stakeholders of your customers, even — and especially — those who never use the app.**](https://www.saastr.com/want-go-upmarket-need-great-dashboard/) This is especially true for enterprise software.\n\nHowever, most, if not all, traditional dashboards failed to achieve this. Traditional dashboards are highly restrictive. Customers cannot customize the dashboard to fully understand their unique state of the world. This leads to frequent ad-hoc data cuts and reporting requests, causing operational friction with your customer support, product, and engineering teams. What’s worse, this means your users can’t get their questions answered right away, resulting in a subpar product experience.\n\n**💡 Solution - Personal Dashboard Workspace**\\\n“Upsolve your product” by embedding our component in your product. Your users gain the superpower to build out their own version of dashboards, either by building them from a blank canvas or by modifying the dashboard template you ship out. [Watch the demo below](https://youtu.be/hj7VJSC_LyU?feature=shared):\n\n1. Chart Explorer:\\\n Your end users will now have access to all the verified/published charts your organization has provided. This means you can produce dozens of charts but leave it up to your end users to choose which of these charts they actually care to see and in which positions on their dashboard.\n\n ![uploaded image](/media/?type=post&id=84312&key=user_uploads/1148602/09a4f16d-2f03-40e2-96b8-07e272beedd4)\n\n2. Point and Click Builder:\\\n If none of the published charts are good enough for your end users' use cases, your end users can access a point-and-click chart builder. Any charts they produce will be surfaced back to you for potential reuse/sharing among your other users.\n\n ![uploaded image](/media/?type=post&id=84312&key=user_uploads/1148602/743ca11c-4cb9-4144-bf34-1a260c049b9e)\n\n\n**🙏 Ask**\\\nIs this a problem you are facing, and do you want to solve it at the root? Tempted to Upsolve your product? Grab a time slot [here](https://calendly.com/kaling-aqk/upsolve-initial-exploration) with us!", "url": "https://www.ycombinator.com/launches/Lvs-upsolve-ai-embedded-business-intelligence-bi", "votes": 57, "created_at": "2024-09-26T15:01:45.124Z" }, { "id": 78495, "title": "🐳 Upsolve AI - The new way to build and offer analytics to your customers", "tagline": "Build customer-facing analytics that get your users to take in-product actions and become obsessed with your product!", "body": "### **🏆 Tl;dr:**\n\n[**Upsolve AI**](https://upsolve.ai/) **helps companies build and offer analytics to their customers**, with AI answering any additional data questions. Ship analytics using an AI-powered builder, and embed them as native frontend components in your product. The dashboard shows your customers insights about your product and guides them with action recommendations to boost your product’s effectiveness. For example, [marketing companies](https://upsolve.ai/impact-study/fiber) use Upsolve to help users optimize their campaigns, and fintech companies use it to help users manage their accounts. [Watch our demo!](https://youtu.be/Vobh2hw_Pgk)\n\n### **💯 The Team**\n\nTogether, [Ka Ling](https://www.linkedin.com/in/wukaling/) and [Serguei](https://www.linkedin.com/in/sbalanovich/) have over 15 years of experience in data engineering and analytics. We took Palantir's Hyperauto (mentioned in Palantir's DPO S-1) from inception to launch, scaling the product to serve more than 50 enterprise customers in less than 2.5 years and generating eight figures in annual revenue.\n\nHaving experienced firsthand the challenges of building customer-facing analytics at startups and working alongside users from over 100 companies, including Fortune 10 (we’ve been on the frontlines at factories and assembly lines with users!), we're determined to simplify data analytics. That's why we created Upsolve AI - to automate and augment analytics. We're committed to ensuring that no business is limited by its analytics-building capabilities and enabling every end user to make informed decisions based on their data.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/0496fa95-d371-4744-bc52-895cb3457400)\n\n## **❌ The Problem**\n\n🔨 **Building customer-facing analytics is hard:** As a founder or SaaS product owner, you understand the importance of data-driven decision-making. However, developing customer-facing analytics dashboards that empower your end users to make decisions requires expertise and can get complex.\n\n⏳ **Traditional dashboards go stale and are highly restrictive:** Customers need customized and dynamic analytics to fully understand their unique state of the world. Traditional dashboards quickly lose value and become outdated as customers seek analytics customization, leading to frequent ad-hoc data cuts and reporting requests, causing operational friction.\n\n⚙️ **Seeing analytics doesn’t mean better action:** Your customers are likely slammed with data from various products and services that they consume and, as a result experiencing decision paralysis due to information overload.\n\nBuilding effective analytics becomes a strain on your engineering resources, hindering user engagement, retention, and revenue growth.\n\n## **📈 The Solution**\n\n🛠️ **Build fast**\n\nUsing Upsolve AI, you can build customer-facing analytics dashboards simply by asking questions or via point-and-click, and theme them to your company’s design system.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/2f388753-7ee0-4153-a747-737274cc8f97)\n\n**🚀 Instantly deploy**\n\nOnce that is built, you can embed the dashboard natively in your product as a React or Vue component. “WYSIWYG”, the dashboard will look like it’s been built from scratch by your software engineers and will seamlessly fit into your existing design system.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/b2a830ed-644f-49cb-b817-25ad2eff3fc6)\n\n❤️ **Help your customers**\n\nYour customers can ask questions of the data and customize their own version of the dashboard based on their unique needs. Upsolve AI will also guide them with analytics insights and in-platform actions. Customers will appreciate what your product is doing well for them and will make the most of it, without your team lifting a finger.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/d27b8d34-7ccf-432b-bc33-c79de8ede425)\n\n🔐 **Enterprise security**\n\nComing from Palantir, we understand the importance of keeping your data secure. Upsolve secures your data in transit and at rest and supports multi-tenancy support that works natively with your existing auth system. Simply drop the Upsolve SDK into your auth flow and users will see the version of their dashboard that’s configured for them.\n\n![uploaded image](/media/?type=post&id=78495&key=user_uploads/1148602/f05fb5b8-2560-488f-ba63-7f72b25102b8)\n\n# 🙏 Ask\n\nWe are live with our customers now! If you are looking to build your customer-facing analytics in your product, email [kaling.wu@upsolve.ai](mailto:kaling.wu@upsolve.ai) to try [Upsolve AI](https://upsolve.ai/).\n\nIf you know any B2B business in your network that’s looking to unlock their customer-facing analytics and reporting capability, we would greatly appreciate any warm introductions using the above email as well!", "url": "https://www.ycombinator.com/launches/KQ3-upsolve-ai-the-new-way-to-build-and-offer-analytics-to-your-customers", "votes": 532, "created_at": "2024-02-17T09:57:38.096Z" } ] }, { "id": 29260, "name": "Quary", "slug": "quary", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54d14cc55231dd1bd8f1cfd85b8f8366f88fae7.png", "website": "https://www.quary.dev", "all_locations": "London, England, United Kingdom", "long_description": "Quary is the first analytics engineering platform that brings the entire model-test-deploy workflow into the browser. \r\n\r\nAt our first customer, a fast-growing fintech company, Quary empowers analysts in the growth team to self-serve, contribute, and reduce reliance on the data engineering team, letting teams ship metrics faster & executives get answers sooner", "one_liner": "The first in-browser analytics engineering platform", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1707148568, "tags": [ "Analytics", "Data Science", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Inactive", "industries": [ "B2B", "Analytics" ], "regions": [ "United Kingdom", "Europe", "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/quary", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/quary.json", "year_founded": 2023, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/quarylabs", "x_url": "https://twitter.com/quarylabs", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/quary", "github_url": "https://github.com/quarylabs/", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e54d14cc55231dd1bd8f1cfd85b8f8366f88fae7.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1400304, "full_name": "Benjamin King", "title": "Founder", "founder_bio": "American and British Luxembourger. Failed physicist. Cofounder and ex-CTO of Tumelo. Now working on Quary.", "is_active": false, "linkedin_url": "https://linkedin.com/in/benfking", "x_url": "https://twitter.com/BenFKing", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/57e5a152908e6b47ecc0300e14b991407d92bc63.jpg" }, { "user_id": 528679, "full_name": "Louis Jordan", "title": "Founder", "founder_bio": "Ex-Amazon (Data/Fintech)", "is_active": false, "linkedin_url": "https://linkedin.com/in/louis-j-52841a105", "x_url": "https://twitter.com/louisjoejordan", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/90d150f0764608d33f53599e65c132f972ce4e1f.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78152, "title": "🆀 Quary - Transform data together 🤝", "tagline": "Stop depending on your data team and bring everyone into the data action!", "body": "**tl;dr: Quary connects to your data warehouse and lets your team transform raw data into valuable insights in seconds, right from your browser! Try our free trial:** [www.quary.dev](http://www.quary.dev)\n\n\\\nHey 👋. [Ben](https://linkedin.com/in/benfking) and [Louis](https://www.linkedin.com/in/louisjor/) here, we’re excited to share what we’ve been up to! [Quary](https://www.quary.dev/) is a browser-based **SQL transformation tool** that turns your raw data— whether in Snowflake, BigQuery, or DuckDB— into organized, well-documented & tested transformations.\n\n![uploaded image](/media/?type=post&id=78152&key=user_uploads/528679/2e025d53-262b-4795-823a-57dba3ba798e)\n\n**❌ The problem**\n\nData engineers make up **5%** of businesses. They dig for insights for the other **95%** with predictable outcomes: siloed & overworked data teams, unshared knowledge, and delayed answers to critical business questions.\n\n**✅ The solution**\n\nQuary makes data engineering collaborative, sharing the responsibility across the organization. With Quary, **5%** becomes **50%**. Anyone who writes SQL can build production-grade pipelines in minutes.\n\n**The team**\n\n**Ben** and **Louis** here, we’re originally from Luxembourg 🇱🇺. Ben founded [Tumelo](https://www.tumelo.com) and led engineering there through its Series A. Louis survived a 4-year stint as a Software Engineer in Finance at Amazon.\n\n**Try out our free trial:** ", "url": "https://www.ycombinator.com/launches/KKW-quary-transform-data-together", "votes": 138, "created_at": "2024-02-05T15:57:48.178Z" } ] }, { "id": 29336, "name": "Scout", "slug": "cpgscout", "former_names": [ "Intercept" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e1fb4c3c8bc8b16eb297caddcd91dddb7ba0a96.png", "website": "https://cpgscout.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Scout is an AI insights tool for consumer products companies to increase topline revenue. It ingests data from retailer portals and syndicated sources (such as SPINS, NielsenIQ), and tell sales teams exactly where they can grow. Brands use Scout to figure out which accounts to expand, which SKUs to prioritize, and which promotions drove incremental sales.", "one_liner": "AI insights for consumer products", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Retail", "launched_at": 1709256802, "tags": [ "Analytics", "Sales Enablement", "Food & Beverage" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Retail" ], "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/cpgscout", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/cpgscout.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/99366646", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6e1fb4c3c8bc8b16eb297caddcd91dddb7ba0a96.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 488513, "full_name": "Sasha Zhang", "title": "Founder/CEO", "founder_bio": "Sasha is the co-founder and CEO of Scout. 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Enterprises can connect their dataframes, databases or datalakes and do data analysis in plain english.\r\n\r\nFor example, PandasAI can be used by everyone in the company to visualize data or to ask complex queries and extract valuable insights for better data-informed decisions.", "one_liner": "PandasAI is an open-source conversational data analysis platform with…", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1713218254, "tags": [ "Analytics", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Germany", "Europe", "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/pandasai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/pandasai.json", "year_founded": 2023, "city": "Munich", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/pandasai/", "x_url": "https://twitter.com/ai_pandas", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/pandasai", "github_url": "https://github.com/gventuri/pandas-ai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6eea04f473e3424dc0c2177031cb6829296ee867.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1150789, "full_name": "Gabriele Venturi", "title": "Founder/CEO", "founder_bio": "Gabriele is the Founder and CEO of PandasAI. In April 2023, he launched PandasAI, a open source library to facilitate data analysis and data science, thereby empowering people with varying levels of technical expertise to analyze data effectively.", "is_active": true, "linkedin_url": "https://linkedin.com/in/gabriele-venturi", "x_url": "https://twitter.com/lele_venturi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/26484230c07d7922fa4816e64923844f91f097a9.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 29398, "name": "ProSights", "slug": "prosights", "former_names": [ "ProSights", "Prosights" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7af3ebc3d01b55f1bcbe3d6c0c7f7edbaae31b20.png", "website": "https://prosights.co/", "all_locations": "New York City, NY, USA", "long_description": "", "one_liner": "ProSights is a data / AI transformation partner to PE-backed portcos.", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1711348390, "tags": [ "Fintech", "Analytics", "Enterprise Software", "Investments", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "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/prosights", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/prosights.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/prosightsdata/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/prosights", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7af3ebc3d01b55f1bcbe3d6c0c7f7edbaae31b20.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 1648409, "full_name": "Justin Wu", "title": "Founder", "founder_bio": "Justin is a co-founder of ProSights. Previously, he worked in consumer tech PE / growth equity at Permira, PE at BayPine Capital, and investment banking at Citi. Justin studied economics at Harvard.", "is_active": true, "linkedin_url": "https://linkedin.com/in/justinwuokc", "x_url": "https://twitter.com/jw00zy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4b64498f5e1d62b8cf9833f9e4e0f2070aeff4d6.jpg" }, { "user_id": 497083, "full_name": "Aaron Guo", "title": "Founder", "founder_bio": "Aaron is a co-founder of ProSights. Previously, he worked in consumer tech PE / growth equity at Permira and before that in technology investment banking at Goldman Sachs. Aaron studied economics at UChicago.", "is_active": true, "linkedin_url": "https://linkedin.com/in/guoaaron", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fbb15cbf0f6d3f5412278027ad8a79763439a61a.jpg" } ], "jobs": [ { "id": 97233, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/prosights/jobs/GQaqiBZ-forward-deployed-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K", "equity_range": "0.25% - 0.75%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 102481, "title": "Deployment Lead", "url": "https://www.ycombinator.com/companies/prosights/jobs/Q93eVut-deployment-lead", "location": "New York, NY, US", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$175K - $225K", "equity_range": "0.25% - 1.00%", "experience": "3+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 79798, "title": "🚀 ProSights : AI-native workflow automation platform for financial institutions.", "tagline": "Re-imagining how investors work", "body": "[_ProSights_](https://www.prosights.co) is building the first AI-native workflow automation platform for investment firms.", "url": "https://www.ycombinator.com/launches/Kl4-prosights-ai-native-workflow-automation-platform-for-financial-institutions", "votes": 591, "created_at": "2024-03-29T15:27:50.358Z" } ] }, { "id": 29409, "name": "BetterBasket", "slug": "betterbasket", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7b35e46eb9b08cc67eb469ae038a64122cff97e.png", "website": "http://www.betterbasket.com", "all_locations": "San Francisco, CA, USA", "long_description": "BetterBasket provides grocery retailers with AI agents for pricing, competitive intelligence and promotion optimization, with the aim of helping teams boost revenue, manage margin targets and automate decisions using real-time data across operations. ", "one_liner": "Smart grocery pricing with AI", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1706153675, "tags": [ "B2B", "Analytics", "Food & Beverage", "Retail", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/betterbasket", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/betterbasket.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/98110558", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7b35e46eb9b08cc67eb469ae038a64122cff97e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1227729, "full_name": "Leon Zhang", "title": "Founder/CEO", "founder_bio": "BetterBasket CEO; ex-Uber Eats, PIMCO, Wharton MBA dropout and UChicago BS '17", "is_active": true, "linkedin_url": "https://linkedin.com/in/leon-zhang-850772b3", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ae7eb6b7378c4710ab4b531fd351394b8d582dd3.jpg" }, { "user_id": 1643805, "full_name": "Vagelis Viskadouros", "title": "Founder/CTO", "founder_bio": "BetterBasket Founder, ex-Uber Eats Data Scientist, Ecole Polytechnique MSc in Data Science for Business", "is_active": true, "linkedin_url": "https://linkedin.com/in/viskadouros", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8b3dd6998db7de4f62b6bcc784205978b1dd759c.jpg" } ], "jobs": [ { "id": 68593, "title": "Software Engineer", "url": "https://www.ycombinator.com/companies/betterbasket/jobs/wsZC1jR-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $160K", "equity_range": "0.25% - 2.00%", "experience": "1+ years", "visa": "Will sponsor", "skills": [ "JavaScript", "Python", "SQL" ] }, { "id": 93356, "title": "Software Engineering Intern", "url": "https://www.ycombinator.com/companies/betterbasket/jobs/VizvMJh-software-engineering-intern", "location": "San Francisco, CA, US", "type": "Internship", "role": "Engineering", "role_type": "Full stack", "salary_range": "$6K - $10K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "FMI Midwinter 2026: AI and collaboration take center stage - SmartBrief", "url": "https://www.smartbrief.com/original/fmi-midwinter-2026-ai-and-collaboration-take-center-stage", "date": "Jan 24, 2026" }, { "title": "Delving Into ‘The Next Now’ at NRF 2026: Retail’s Big Show | Progressive Grocer", "url": "https://progressivegrocer.com/delving-next-now-nrf-2026-retails-big-show", "date": "Jan 17, 2026" } ], "launches": [ { "id": 78622, "title": "BetterBasket - Pricing for Grocers", "tagline": "The first end to end pricing and assortment solution for grocery stores", "body": "TLDR; 95% of American consumers are changing their grocery shopping habits because of volatile prices, and the $800bn grocery industry must adapt. [**_BetterBasket_**](http://betterbasket.ai/) provides an end-to-end solution for merchandising teams at grocery stores to help with pricing and product assortment.\n\n### **🍌 Problem**\n\nGrocers and food & beverage brands need data-driven recommendations more than ever because of…\n\n* Macro impacts from **price volatility**,\n* customer pull for **more localized selection**,\n* and **shrinking pricing zones** as local supply chains get impacted.\n\nEven for established enterprises, analyzing data across hundreds of thousands of SKUs (“apples-to-apples” comparisons), daily price movements, and multiple margin targets, while balancing sell-through, profitability, and customer satisfaction (especially at a time when many are being accused of “greedflation”) is an impossible task.\n\nCurrent solutions are to:\n\n* Make decisions **without data**,\n* Use a labor-intensive method such as **mystery shoppers,** or\n* Get by with tools that neither **raise the level of sophistication** that managers can operate at **nor saves them time.**\n\n### **🍎 Solution**\n\nBetterBasket is an end-to-end solution for merchandising, encompassing (1) competitive data, (2) visualizations, and (3) recommendations.\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/a16ebfbb-5ee5-48f3-b7e0-29b88e01d8ef)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/366f91f7-931d-4810-8295-5b4cfdef020d)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/9e0f42fe-3368-429d-bf40-afea42be9af0)\n\n### **🧺 How it Works**\n\nWe scrape websites and flyers for in-store and online pricing and product info. Our matching algorithm then uses a combination of natural language processing and computer vision methods to create a centralized product repository across merchants, geographies, and categories that describes the items and the relationships between them.\n\nThis database allows us to give customers up-to-date and accurate competitive information on the products that they and their competitors are carrying. This includes but is not limited to historical price changes, geographical pricing (zone maps), and Venn diagrams showcasing item overlap.\n\nOur pricing and assortment algorithms generate pricing recommendations (with the ability to automate pricing in online stores and physical stores that use digital price tags) as well as assortment recommendations (products to acquire or remove). Our algorithms use data from competitive intelligence, our customer’s unique strategies and targets, and external variables to achieve the optimal outcome based on current conditions.\n\n### **🍣 Why we started BetterBasket**\n\nVagelis and Leon worked together at Uber Eats, setting up the grocery delivery platform and notably launching our dark store footprint in Taiwan and Japan and scaling it to 20+ stores. As we built up a launch team with no retail DNA, we realized the need for merchandising analytics for pricing and procurement teams, especially with regards to competitive data.\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/4c26d656-2098-496f-9f75-ce9293fc8ea3)\n\n![uploaded image](/media/?type=post&id=78622&key=user_uploads/1227729/670a85af-7780-458a-9731-6dd53bbbd179)\n\n### **🍴 The Ask**\n\nIf you know of any grocery chains or food and beverage brands that need help with pricing or product assortment decision-making or are willing to talk about their most pressing issues, let us know! We’re at [**founders@betterbasket.ai**](mailto:founders@betterbasket.ai) and would love to learn more about their needs.", "url": "https://www.ycombinator.com/launches/KS6-betterbasket-pricing-for-grocers", "votes": 49, "created_at": "2024-02-21T21:02:52.062Z" } ] }, { "id": 29507, "name": "kater.ai", "slug": "kater-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e4c3ef97e004d2c1c5507c262401d7ad2a716ab.png", "website": "https://www.kater.ai", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "1. You explain your problem.\r\n2. Kater identifies the most important data questions to ask.\r\n3. Kater writes the code.\r\n4. You get insights in seconds rather than weeks.\r\n\r\nKater.ai flips the script on enterprise analytics by making every user an expert analyst. It uses a continuous classification engine to turn a single business question into a contextualized package of questions that is specific to your needs.\r\n\r\nKater puts the power of data into the hands of business experts while ensuring they use trusted data that is specific to their persona. No more waiting for data analysts. No more wasted time on analysis misfires and rework.\r\n\r\nYvonne was a data engineer and analyst who built the entire data stack at CREXi. Robin led engineering in Microsoft. \r\n\r\n\r\nData is the new oil. Companies are data-rich, insight-poor. We're helping companies become insight-rich. This is the future of data. ", "one_liner": "Deliver complete data analysis from a single question", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1706308353, "tags": [ "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/kater-ai", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/kater-ai.json", "year_founded": 2023, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/kater-ai/?viewAsMember=true", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8e4c3ef97e004d2c1c5507c262401d7ad2a716ab.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1748835, "full_name": "Yvonne Chou", "title": "Founder/CEO", "founder_bio": "Yvonne is the co-founder and CEO of Kater. She graduated from UC Berkeley. Previously, she was a data engineer at Crexi, where she built the data infrastructure from the ground up. She has 8+ years of experience working in analytics teams for companies like Kaiser Permanente, Tapcart, and Crexi, where she supplied data to all dashboards for sales, marketing, finance, and executive management. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/yvonne-chou", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/105b84e9814af348e3d870e0e67545ac4a3cb537.jpg" }, { "user_id": 1750692, "full_name": "Robin Seitz", "title": "Founder/CTO", "founder_bio": "Robin is the co-founder and CTO of Kater. He graduated Magna Cum Laude from UCLA. Previously, he worked at companies such as Microsoft, Abbott and Paragon as a Software Engineer. He has 8+ years of experience working in different software engineering disciplines, including distributed systems, full stack engineering and big data.", "is_active": true, "linkedin_url": "https://linkedin.com/in/robin-seitz-12029970", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac2b0619cb118ef872d740c8a400982c0bdbcd19.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78970, "title": "Kater: Ask data questions in plain English", "tagline": "Drive business outcomes with an AI analyst that organizes, understands, and remembers all the nuances of your company's data.", "body": "# TL;DR\n\nInstead of Slacking the data team and waiting 4 days for an answer, use [Kater](https://www.kater.ai) to get the answer in 30 seconds. We make it possible for executives to understand **why** business outcomes occur, and even alert them **before** the outcomes happen again.\n\n### 👋 Hey Everyone\n\nWe’re [Yvonne](https://linkedin.com/in/yvonne-chou) and [Robin](https://linkedin.com/in/robin-seitz-12029970). We have over 9 years working in data teams for companies like Microsoft, Kaiser Permanente, Crexi, and Abbott. \n\n![Image preview](https://media.licdn.com/dms/image/D5622AQGHB0qqGa37Lw/feedshare-shrink_800/0/1706126655985?e=1714608000&v=beta&t=A02VD99wTGip0YSLOWtEg55JqcFoX8mbfK3Tu-PUryU)\n\nAs data people, **80%-90% of our time** was dedicated to low-level data requests. When really, the true business value of data comes from answering the **“why”** questions.\n\nThat’s why we started [kater.ai](http://kater.ai) — we are committed to automating these low-level questions, and empowering everyone in a company to answer “why” business outcomes occur. **These are the million dollar questions that fundamentally change how businesses operate, and ones they’ve historically never been able to address.**\n\n### 🤔 Why Can’t Companies Answer “Why” Questions?\n\n**The existing enterprise data operation workflow is unscalable.**\n\n1. Data teams receive **10-15** adhoc requests per day\n2. Companies spend on average **$10.5 million/year** in data analyst salaries\n3. Data is extremely **messy**\n\n### 👨‍💼📊 Meet Butler: Your AI Data Agent\n\n**The solution:**\n\nButler is an AI agent that organizes the chaos of data.\n\nWe found a new way to **auto-document your data team’s tribal knowledge through generating a data map.** Butler indexes and searches the data map using a AgentMesh Framework.\n\n**Butler helps generate hypotheses, writes the queries to validate those hypotheses, and finds any insights from the queries.**\n\n### 🧠 Butler Continuously Learns\n\nWe use a combination of RAG and GenAI to capture any feedback users give to support future context for Butler.\n\n![butler](https://docs.kater.ai/assets/images/waiter-6e843699197199c6685ab6d5c536f743.png)\n\n[A 30-second Demo:](https://youtu.be/hiF-F0W61Dw)\n\n### 🔗 The Set Up Process:\n\n1. Simply **connect** Kater’s website to your data warehouse.\n2. We’ll **auto-generate descriptions** for all your tables and columns, and immediately start building the **data map** for you.\n3. After you verify the data map is correct, in **less than 10 minutes**, you can start asking questions about your data and training Butler.\n\n### 🙏 Our Ask\n\nWe currently support connections with Snowflake, Bigquery, and Microsoft SQL Server. If you have any of these (of even if you don’t, we can build a connector in 1 hour) and want to be able to query your data using English, reach out to us at [support@kater.ai](mailto:support@kater.ai)!", "url": "https://www.ycombinator.com/launches/KXi-kater-ask-data-questions-in-plain-english", "votes": 32, "created_at": "2024-03-01T23:07:40.847Z" } ] }, { "id": 29513, "name": "GetCrux", "slug": "getcrux", "former_names": [ "Crux", "getcrux" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e441803edd599221aeb0cd1571b07115de1320cb.png", "website": "http://getcrux.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "GetCrux is the AI Creative Strategist to launch winning ads.\r\n\r\nCreatives have become the biggest lever to win on ad platforms. Yet, there is no clear way to figure out why something works. 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He has previously worked at J&J as an ML Engineer, leading the NLP initiatives to automate sales transcript and was a data consultant at PwC. \n\nHimank has graduated from IIT Bombay. During his college time, he headed Mood Indigo which is Asia's largest student-led festival. It attracts artists from 25+ countries and 140K+ visitors nationwide and has raised $500K in capital from global brands. \n\nExcited about space, spirituality and sports! \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/himank1", "x_url": "https://twitter.com/Himank_jain1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/79bb3d07e6bb8dc499caf5d8dd9752024e130292.jpg" }, { "user_id": 852875, "full_name": "Atharva Padhye", "title": "Founder", "founder_bio": "Atharva is a co-founder at getcrux. Prev a Renewable Energy Engg grad at IIT Bombay. Started Crux while in college and dropped a management consulting job offer at Bain & Co. Prev worked on Risk Analytics at Citibank.\n\nWhile in college, I headed Mood Indigo (Asia's largest college festival) where we built the first-ever metaverse for colleges - a 3D experience to explore live events on the campus that brought in 100K viewership in 2 days.\n\nAvid interest in music & international cuisines.", "is_active": true, "linkedin_url": "https://linkedin.com/in/atharvapadhyecrux", "x_url": "https://twitter.com/almostpaddy", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f16635a09955dd31306c9715fe9dd463c83fdd85.jpg" }, { "user_id": 600764, "full_name": "Prabhat Singh", "title": "Founder/CTO", "founder_bio": "Hi! I'm Prabhat, Co-founder of getcrux.ai. I completed my bachelor's at IIT Bombay. Previously, I co-founded a social initiative, Eduride, which helped over 1000 applicants reach their exam centers during COVID-19. I'm passionate about AGI, game design, fintech, and sports.", "is_active": true, "linkedin_url": "https://linkedin.com/in/prabhat7758", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f96e8864418892ff47a6d7b2578958447715759c.jpg" } ], "jobs": [ { "id": 92623, "title": "Founding Creative Strategist / CSM", "url": "https://www.ycombinator.com/companies/getcrux/jobs/7Fv2cQN-founding-creative-strategist-csm", "location": "US / Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$125K - $175K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 92914, "title": "Founding Engineer (Full Stack / AI Video) – GetCrux", "url": "https://www.ycombinator.com/companies/getcrux/jobs/pyis2KX-founding-engineer-full-stack-ai-video-getcrux", "location": "Bengaluru, KA, IN / Bengaluru, Karnataka, IN", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "₹8M - ₹10M INR", "equity_range": "0.50% - 1.00%", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [ "Amazon Web Services (AWS)", "Django", "Google Cloud", "Python", "RabbitMQ", "Redis", "Microservices" ] }, { "id": 93800, "title": "Founding Full-Stack AE", "url": "https://www.ycombinator.com/companies/getcrux/jobs/UbrHFVD-founding-full-stack-ae", "location": "US / Remote (US)", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $120K", "equity_range": "0.25% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Crux is building GenAI-powered business intelligence tools | TechCrunch", "url": "https://techcrunch.com/2024/02/08/crux-is-building-genai-powered-business-intelligence-tools/", "date": "Feb 08, 2024" } ], "launches": [ { "id": 92586, "title": "GetCrux: AI Creative Strategist to Launch Winning ads", "tagline": "The 10X way to run ads: find what works and make on-brand creatives in minutes", "body": "Creatives are the #1 lever to optimize and scale performance while running ads on Meta, Google, TikTok or any paid media channel.\n\nYet, most growth and creative teams don’t have a data-driven process to iterate on creatives.\n\nThere’s no clear answer for:\n\n* Why do some ads work and others don’t?\n* What are the top objections and concerns users have?\n* What angles and concepts are working for my competitors?\n* How do I learn from these insights and make ads faster?\n\nSo we built the **AI Creative Strategist** that helps you iterate faster and launch winning ads.\n\nhttps://www.youtube.com/watch?v=bLOutqGo4wU\n\nThis is how teams run their creative process with GetCrux:\n\n1. **Surface Insights:** AI watches every ad, finds patterns across creatives, tells you what works and why\n2. **Learn from the Market:** Learns from competitor ads, comments, reviews, and comes up with new angles\n3. **Execute at Lightning Speed:** Converts insights into on-brand and compliant creatives and auto-publish to ad platforms\n\nWe connect with all your data sources:\n\n1. **Ad Platforms** (Meta, Google, TikTok, YouTube, Pinterest, Snapchat, Display, App Campaigns, Applovin, TradeDesk, Inmobi, Criteo, Atari)\n2. **1st Party Data Sources** (Snowflake, Tableau, Metabase, Looker)\n3. **Attribution, MMPs or 3rd Party Tools** (AppsFlyer, Adjust, etc.)\n\n\\\nGrowth and creative teams from large publicly listed enterprises to some of the fastest growing startups, including YC companies iterate 10X faster, and have even scaled 2X at a 10% lower CAC with our ads.\n\nWe’re one of the best teams working on this problem:\n\n* Backed by senior execs from Google and Meta\n* Our 1st product was acquired by one of the largest ad agency\n* Building AI tools for marketers for over 3 years now\n* Best AI engineers from IITs (top 0.01%) with avg age of 23!\n\nIf you’re a growth, paid social, or creative team that wants to iterate faster, we would love to chat. [Talk to the founders](https://calendly.com/atharva-getcrux/30min).", "url": "https://www.ycombinator.com/launches/O5K-getcrux-ai-creative-strategist-to-launch-winning-ads", "votes": 220, "created_at": "2025-07-30T22:43:03.859Z" }, { "id": 86823, "title": "GetCrux: AI Creative Strategist to Launch Winning Ads", "tagline": "Stop guessing which ad creatives work and find winning patterns that reduce CAC", "body": "# **TL:DR;**\n\nCreatives have become the biggest lever on ad platforms. Yet, there is no clear way to figure out WHY something works. You end up guessing and replicating the best performing ad, only to see it fail - high CAC & wasted budget. \n\nOur AI Creative Strategist:\n\n1. **Finds patterns that you miss**: by analysing 1000s of creatives (down to the last pixel) and their performance data\n2. **Builds a winning playbook**: which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you\n3. **Recommends what to launch next:** with a detailed creative brief that you can execute instantly\n\n[Talk to us](https://calendly.com/atharva-getcrux/30min) if you want to bring structure & intelligence to creative testing.\n\n\n\n# **Some ads work. Most don’t. Why?**\n\nPicture this. \n\nYou finally find a winning creative and you replicate it - make 5 variations. But almost all of them fail - high CAC and wasted $ on production.\n\nWhy? _Because you didn’t really know WHAT made the ad work!_\n\nCreatives have 100s of moving parts and it’s impossible to find patterns manually. So most marketers make an educated guess, which often leads to unpredictability & low hit rate.\n\n**Guess what works —> Low hit rate —> Poor CAC + wasted $ on prod**\n\n# **Launch winning ads with our AI Creative Strategist**\n\nThe best marketing teams approach creative testing like an assembly line. We make this process simpler:\n\n1. **Find patterns that you miss**: \n\n We go into the depths of every creative - be it an image or a video and break it down into 100s of elements. This is combined with the performance data from your ad account to find what works\n2. **Build a winning playbook**: \n\n Every brand needs a playbook, a checklist that becomes the guiding principle of creative testing. We help you create this in terms of which hooks, messaging, format, music, CTAs, storylines, influencers etc. really work for you\n3. **Get recommendations on what to launch next:** \n\n Based on the patterns found + your brand’s playbook, we come up with a detailed creative brief every week that helps the creative team ship out ads faster than ever\n\nHere are a few examples of questions & hypotheses we answer:\n\n![uploaded image](/media/?type=post&id=86823&key=user_uploads/852875/b96d8dc6-556b-465a-8f09-bd4b049b78de)\n\n# **Who does this work for?**\n\n* Combined ad spend across platforms > $500,000 per year\n* Mid-high creative testing volume i.e. more than 20-25 per month\n* Good enough historical data i.e. more than 6 months running ads\n\n# **How to work with us?**\n\n[Have an intro chat](https://calendly.com/atharva-getcrux/30min) and figure out if you think it could be a good fit for you.\n\nWe are trusted by several Y Combinator startups, large ad agencies in the US with $3B+ spend and brands from a variety of sectors including health and wellness, financial services, jewellery, among others.", "url": "https://www.ycombinator.com/launches/MaN-getcrux-ai-creative-strategist-to-launch-winning-ads", "votes": 128, "created_at": "2025-01-14T16:46:04.071Z" }, { "id": 84654, "title": "getcrux: AI Copilot for Performance Marketing", "tagline": "Optimize Google & Meta Ads with insights & recommendations from our AI Ads Specialist.", "body": "# **TL;DR**\n\ngetcrux helps performance marketers running ads on Google & Meta to optimize for better performance with instant answers & actionable insights. Marketers are overburdened with manual, repetitive tasks like debugging technical issues and tracking campaigns, which leaves no time for planning and executing experiments. With getcrux, they can take the right action at the right time and exceed their performance targets. Watch our demo [here](https://www.youtube.com/watch?v=shohyPZB3sk).\n\n# Why is this a problem?\n\n1. Google & Meta’s combined ad revenues have crossed $350B in 2023, and over 90% of this ad spend is wasted (i.e., shown to audiences that are irrelevant/non-intent )\n2. Performance marketers are struggling to meet performance targets consistently because of changes in platform algorithms, rising competition, and, most importantly, inefficient operations\n3. On average, a performance marketer spends 70-80% of their time doing operational, repetitive tasks like debugging technical issues, creating 10s of reports, and following up with design and compliance teams. They are hardly left with any time to think of the next strategy and execute experiments\n\n# Our Solution\n\nAn AI Ads Specialist that helps performance marketers find the right answers, uncover hidden opportunities, and take the right action at the right time.\n\nHere’s how getcrux can help:\n\n* Get answers to all your questions instantly\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/8ccaeb39-21b8-43e3-a59f-59dca6689054)\n\n* Proactive insights that tell you what’s wrong before it’s too late\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/2cd7ee25-06e5-47e8-b689-6016093b7a6a)\n\n* Surfacing hidden opportunities & recommending actions\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/ae875ea3-8396-4d06-b789-ffea36cecb1a)\n\n# How effective is this?\n\nWe have been working with performance marketing teams of brands & ad agencies that manage more than $3B+ of ad spend.\n\n[Here’s](https://www.getcrux.ai/blog/getcrux-helped-in-saving-18k-month) how we recently helped an ad agency achieve a 2% uplift in performance and saved $18,000 last month for one of their accounts.\n\n# How did we land here?\n\n* The 3 of us started getcrux right after college nearly 2.5 years ago and have known each other for more than 7 years now. We’ve been through more than 15 pivots before shaping getcrux to its current form.\n\n![uploaded image](/media/?type=post&id=84654&key=user_uploads/852875/93a8e554-4195-40d9-b318-354f462e39a1)\n\n_Our team at our newly inaugurated office in Bangalore, India._\n\n* Our history with performance marketing dates back to 2022, when we were building ‘Google Ads for Web3’ to help games built on decentralized networks acquire users. Since traditional channels don’t work for web3 projects, there was a need for a predictable and trackable way of marketing.\n* ⁠When we got into YC in W24, we were trying to build a general-purpose AI Copilot for analytics but soon realized that most of our customer demand was coming from performance marketers. So, we decided to focus our attention ONLY on performance marketers.\n* Our vision is to make data analysis faster, accessible, and explainable for every non-technical user. Imagine Glean AI but for structured data.\n\n# Our Ask\n\nWe’re looking to get our product into the hands of as many performance marketers as possible. If you know someone who fits this criteria, please help us get in touch with them. Drop a DM or email at [atharva@getcrux.ai](mailto:atharva@getcrux.ai).\n\nCriteria: Anyone who runs ads on Google & Meta\n\n* Performance marketers running ads for their brand\n* Founder/CMOs running ads on their own\n* Ad agency founders and freelancers running ads for clients", "url": "https://www.ycombinator.com/launches/M1O-getcrux-ai-copilot-for-performance-marketing", "votes": 210, "created_at": "2024-10-10T13:51:00.229Z" } ] }, { "id": 29582, "name": "Cheers", "slug": "cheers", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/319852b81dd897865aad034d9eccd66519d3b017.png", "website": "https://www.cheers.tech", "all_locations": "San Francisco, CA, USA", "long_description": "AI assistants are replacing search for local businesses. When someone asks ChatGPT for a plumber or hotel recommendations, reviews are the primary training signal, especially in local markets where other data is sparse. This is GEO (Generative Engine Optimization).\r\n\r\nCheers is the full-stack GEO platform for local service businesses. We audit AI visibility, build optimization plans (schema markup, citation fixes, review strategy), and give frontline teams NFC tools to generate reviews with employee-level attribution.\r\n\r\nVivint generated 70,000+ five-star reviews in 5 months. They now rank #1 on ChatGPT and Google Search across their markets.", "one_liner": "Win local search on ChatGPT & other LLMs", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1721413814, "tags": [ "Analytics", "Feedback", "AI", "Reviews" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "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/cheers", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/cheers.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/cheers-software/", "x_url": "https://x.com/Cheers_Software", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/319852b81dd897865aad034d9eccd66519d3b017.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1314282, "full_name": "Dylan Allen-Arnegård", "title": "Founder/CEO", "founder_bio": "Dylan is the CEO & Co-Founder of Cheers. Dylan previously helped build Azure Linux at Microsoft, and interned as a product manager and software engineer at Podium (YC W16), and Weave (YC W14). Before getting his degree in Computer Science from BYU, he spent more than 5 years in different frontline roles across Texas, Utah, Idaho, and Argentina.", "is_active": true, "linkedin_url": "https://linkedin.com/in/dylan-allen", "x_url": "https://x.com/dylan_a", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d14e64b72488a95cf7c30c0d7da99ab88f96b9f8.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93185, "title": "Cheers - The GEO platform to win local search on ChatGPT", "tagline": "We help service businesses win local search on ChatGPT & other LLMs", "body": "Hey there!\n\nWe’re [Dylan](https://www.linkedin.com/in/dylan-allen/) and [Amadeus](https://www.linkedin.com/in/amadeus-peterson/), the founders of [Cheers](https://www.cheers.tech).\n\n![uploaded image](/media/?type=post&id=93185&key=user_uploads/1314282/4f3b1be6-d50c-4917-a18c-279469925471)\n\n### TL;DR\n\n**TL;DR** AI assistants (ChatGPT, Gemini) are changing how customers find local services. Soon, they will be booking appointments and buying on our behalf. AI recommends based on **reputation, not ads**. This shift is GEO (Generative Engine Optimization).\n\nCheers is the full-stack GEO platform for service businesses. We ensure AI recommends you first. We analyze your reputation, build a strategy, and turn your frontline employees into a reputation engine—capturing reviews at the point of service and attributing every outcome to the individual employee.\n\n**Ask:** Know a multi-location service business (home services, retail, field sales)? Intro us: [dylan@cheers.tech](mailto:dylan@cheers.tech) (10% referral bonus for closed deals!)\n\n### **Video:**\n\nhttps://youtu.be/P42T7HQSncA\n\n# \n\n# The Problem: The End of Local Search As We Know It\n\nLocal search is dying. Consumers are moving away from traditional Google searches and asking AI assistants for recommendations. Soon, AI will move from recommendation to action—booking and buying directly.\n\nThis is the era of GEO (Generative Engine Optimization), and it changes the rules:\n\n* **You Can't Buy Ads on ChatGPT (yet):** You can pay to be at the top of a Google search, but you can't pay to be suggested by ChatGPT. AIs ignore ad budgets and analyze authentic reputation signals (reviews, citations, social proof).\n* **Reputation is Everything:** If the AI cannot find strong, verifiable evidence of your quality, your business is invisible.\n* **The Execution Gap:** Most service businesses generate goodwill face-to-face but fail to systematically capture it on the 3rd party sites AI trusts.\n* **The Attribution Gap:** Even when they get reviews, they lack attribution. Managers can't see which employees are driving their reputation, so they can’t scale what works.\n\nYou can’t win GEO if you don’t generate the right signals, and you can’t optimize the signals if you can't attribute them.\n\n![uploaded image](/media/?type=post&id=93185&key=user_uploads/1314282/818afe3b-2ce0-4f37-8696-cd0e783ee073)\n\n# Our Solution: The Full-Stack GEO Platform\n\nCheers is the platform built natively for GEO. We help businesses generate the reputation signals that AIs trust and attribute those signals to the people who create them.\n\nHere’s the platform:\n\n1. **Analysis & Strategy:** We analyze a company’s existing online reputation and build a custom GEO optimization plan (covering the reviews, citations, and evidence hubs that AIs parse confidently).\n2. **The Reputation Engine (Execution):** We equip frontline employees with ultra-low-friction tools (like NFC taps) to capture reviews and social proof right at the point of service. We route these to the 3rd party sites AI actually cites.\n3. **Employee-Level Attribution (The Key):** We attribute every review and referral back to the specific employee and location. Managers can see what behaviors drive growth—and coach, reward, and scale them.\n\n![uploaded image](/media/?type=post&id=93185&key=user_uploads/1314282/951ec0e5-9b68-47e4-9489-b6c7374e7172)\n\n**Traction & Proof** The demand for GEO is exploding. **Cheers has grown 115% in the last 40 days.**\n\nOur methodology is proven at enterprise scale. [Vivint Smart Home](https://vivint.com/) used Cheers to operationalize their reputation strategy across 400 locations.\n\nThe results: **70,000+ new 5-star reviews in 5 months.** Vivint now dominates AI recommendations for smart home services in all their service areas. 🤯\n\n# **The Team:**\n\nWe've been friends for more than 5 years, and moved from Utah to San Francisco to make Cheers into a decacorn.\n\n![uploaded image](/media/?type=post&id=93185&key=user_uploads/1314282/009f2142-052e-4699-9b7a-6c988c72e5a8)\n\n[**Dylan Allen**](https://www.linkedin.com/in/dylan-allen/) (CEO) is a technical founder who's worked in experience/reputation management across [Podium](https://www.podium.com/) (YC W16), [Weave](https://www.getweave.com/) (YC W14), and [Microsoft Azure](https://azure.microsoft.com/en-us/) before starting Cheers.\n\n![uploaded image](/media/?type=post&id=93185&key=user_uploads/1314282/c1ef80dd-107f-486d-9edb-03aec637cf6c)\n\n[**Amadeus Peterson**](https://www.linkedin.com/in/amadeus-peterson/) (CTO) was a software engineer at [Northrop Grumman](https://www.northropgrumman.com/) working on the Sentinel Missile system before Dylan convinced him to quit and move to SF.\n\n**Our Ask:** Do you know anyone at a multi-location service business (Home Services, Field Sales, Retail, Hospitality)? PE rollups are also a great fit.\n\nEmail [dylan@cheers.tech](mailto:dylan@cheers.tech) with an intro → We offer a 10% referral bonus on the annual contract value of any closed deal.", "url": "https://www.ycombinator.com/launches/OEz-cheers-the-geo-platform-to-win-local-search-on-chatgpt", "votes": 94, "created_at": "2025-08-20T14:29:27.340Z" }, { "id": 83053, "title": "Cheers: The super-app for in-person employees", "tagline": "Meet Cheers, the all-in-one platform for in-person employee excellence.", "body": "**TL;DR:** We’re [Cheers](https://cheers.tech), building the super-app for in-person employees (think home services, restaurants, D2D sales). We’re starting with NFC-enabled employee badges that make key tasks—like collecting reviews and verifying employment—seamless. It’s our first step toward becoming the central platform for in-person work.\n\n# **🥂 What is Cheers?**\n\n_Cheers is on a mission to revolutionize how in-person employees work._ We’re building the super-app that will become the central hub for everything these employees need—from managing schedules and tracking performance to accepting tips and capturing customer feedback—all through NFC technology pre-enabled on smartphones today.\n\n![uploaded image](/media/?type=post&id=83053&key=user_uploads/1314282/43a513ab-a934-4a14-a112-05fa155cc8a3)\n\n# **🧨 The Problem We Solve:**\n\n**In-person customer and employee interactions are often inefficient and filled with friction.** Whether it’s collecting feedback, verifying employment, or capturing leads, these processes are typically slow, manual, and prone to errors. This inefficiency not only frustrates employees and customers _but also leads to missed opportunities for businesses to optimize and grow._\n\nCheck out how it looks here: \n\n**Cheers aims to make every in-person interaction seamless, frictionless, and measurable.** We’re starting with NFC-enabled employee badges that go beyond basic identification. These badges enable employees to perform key actions with just a tap—whether it’s gathering a 5-star Google Review, collecting a lead, or verifying employment—right when it matters most, face-to-face with the customer.\n\n# \n\n# **🚀 Why We’re Excited About Cheers:**\n\nWe believe that these badges are our wedge into businesses. They address immediate needs (better Google Reviews, etc.) while laying the groundwork for something much bigger. **As employees and owners tap into Cheers’ early features, they quickly see the value in capturing and attributing customer interactions to individual employees.** That means the right employees get the proper credit and feedback, which is actionable at a more granular level. We’ve already seen this open the door to deeper integration across operations. _(**also, Apple** made an announcement about **iOS 18.1** that really excites us, check it out _[_here_](https://9to5mac.com/2024/08/14/apple-nfc-chip-iphone-ios-18-1/)_.)_\n\n**Example:** Imagine an employee tapping their badge to allow a customer to leave a 5-star Google Review in just 3 taps: notification, rating, post. Or, picture a customizable employee page where customers can perform multiple actions—like booking services or leaving feedback—all in one place.\n\n![uploaded image](/media/?type=post&id=83053&key=user_uploads/1314282/0777f19c-8ae1-41f0-8d8e-c09eaa28b4e5)\n\n# **📈 Our Traction:**\n\nWe have 25 customers, the majority of which are small businesses, like your local bridal shop or burger joint. We have one enterprise-level client with whom we’ve been running a successful paid pilot for the past 2 months. **We’ve grown our MRR from \\~$1,400 on July 1st to \\~$4,000 now.** Cheers has already processed over 3,000 internal and external reviews for our customers. \n\nOur reporting software is delivering real results—**our average customer has 5-10x’ed their monthly 5-star Google Reviews.** Managers are using it to track performance, run competitions, and provide targeted feedback. **(See the screenshot below for a look at what our customers do when hosting competitions).**\n\n![uploaded image](/media/?type=post&id=83053&key=user_uploads/1314282/c932da5c-dd75-4579-ab20-080c058000e3)\n\n**But this is just the start.** We’re building Cheers to be the central operating system for in-person businesses—a platform that will transform how in-person teams operate, from scheduling and payments to customer engagement and beyond.\n\n# **🙏 Our Ask to You:**\n\nWe’re looking for intros to folks who manage—or know someone who manages—in-person, customer-facing teams: anything from self-storage to solar sales. Cheers is _especially_ helpful for companies that currently struggle with getting online reviews (Google, TripAdvisor, Thumbtack, etc.).\n\nOur first product, the Cheers NFC-enabled employee badge, is already delivering strong results, and with your help, we can build something truly impactful. Request a text from one of us, or schedule a call with our CEO Dylan, [here](https://cheers.tech/get-started).\n\nAnd finally, a toast, to people like you. Cheers! 🥂", "url": "https://www.ycombinator.com/launches/LbZ-cheers-the-super-app-for-in-person-employees", "votes": 65, "created_at": "2024-08-14T22:06:15.209Z" } ] }, { "id": 29636, "name": "Bayesline", "slug": "bayesline", "former_names": [ "Bayesline, Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a34bad8ff76fdef00535145a04bd76a11f215b1.png", "website": "https://bayesline.com", "all_locations": "New York City, NY, USA", "long_description": "Bayesline is building a GPU-powered financial analytics suite for institutional investors, like hedge funds. \r\n\r\nClients use our cloud deployed solution to build custom analytics in seconds, having previously been frustrated with off the shelf solutions that don't generate any alpha. What used to take weeks or months now happens near instantly. \r\n\r\nSebastian, CFA (ex Bloomberg Quant & AI Research) and Misha, PhD (ex BlackRock Managing Director) met while working at BlackRock in 2016. With a combined 20 years of experience in the space they set out to change the way the industry uses analytics - from one size doesn't fit all to truly tailored to clients' needs.", "one_liner": "Highly customizable and blazingly fast analytics for asset managers.", "team_size": 3, "industry": "Fintech", "subindustry": "Fintech -> Asset Management", "launched_at": 1722543223, "tags": [ "Fintech", "Finance", "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Fintech", "Asset Management" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "We met in 2016 at BlackRock, and lived together during Covid. We both have a very strong mission to revolutionize financial analytics. We thought that the world’s most renowned institutions would be the best place to do that. But it turns out that they move too slowly and are not ready to truly innovate, especially in the age of AI. Leaving our lucrative careers was the only way to pursue our dreams." }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "All of financial analytics was built in the 90s on fundamentally an outdated tech stack (C++ on CPUs). The AI community has developed a new stack (Python ML packages on GPUs) that is orders of magnitude faster, both in time-to-market and run-time. Our aim is to rebuild all of financial analytics on this stack; from economic scenario simulation engines for banks and insurers to portfolio risk models for hedge funds. In the future, Bayesline will be integrated in all financial institutions, eliminating the days of waiting for calculation that tens of thousands of industry professionals have to deal with." } ], "url": "https://www.ycombinator.com/companies/bayesline", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/bayesline.json", "year_founded": 2024, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bayesline", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/orgs/Bayesline", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a34bad8ff76fdef00535145a04bd76a11f215b1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fb4bb1de304150c80cad018f66d4e49d856ffc45.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/de0255323712d3a1cfcefc60b875e20c328eebb5.png" ], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 1931855, "full_name": "Sebastian Janisch", "title": "Founder/CEO", "founder_bio": "Building blazingly fast financial analytics at Bayesline. \nPreviously quant at Bloomberg and BlackRock building investment models running 4T in assets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sebastianjanisch/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62590dcf51a88cd05066829bd47c6e47f5da853f.jpg" }, { "user_id": 1954098, "full_name": "Misha van Beek", "title": "Founder", "founder_bio": "Misha van Beek is a co-founder at Bayesline. Before Bayesline, Misha was a Managing Director at BlackRock where he led innovation on Aladdin’s portfolio risk models spanning tens of trillions in assets. He also led the research on Aladdin’s economic scenario engine, as well as investment models that run roughly $400 billion in strategic asset allocations across all major asset classes. He holds a PhD in Financial Mathematics from the University of Amsterdam.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mishavanbeek/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/692f665d32c8556cf1dffe3fb2bc340742a392bf.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82831, "title": "Bayesline - Blazingly fast analytics for Investment Managers", "tagline": "We help hedge funds create more alpha.", "body": "**TL:DR;** We figured out how to fit custom equity factor risk models in seconds instead of weeks. And we can do this across the entire financial analytics landscape. Ad hoc thematic factor construction (think COVID), risk decomposition through time, optimized factor selection, all on the fly and in seconds.\n\nTry out our demo [here](https://app.bayesline.com/signup).\n\n# Why does it matter?\n\nWe each spent nearly a decade at BlackRock and Bloomberg, building products, leading research teams, and empathizing with frustrated clients. They sit at the cutting edge of investment research, coming up with market-beating strategies. **Yet they have to make do with a 20-year-old analytics toolkit** that current vendors offer. \n\nWe are changing that. If the AI community can fit a 300 billion parameter model, there’s no reason why a factor risk model should take a week to compute. In fact, it doesn’t. **We figured out how to do it live and in seconds, and we can do it across the entire analytics landscape**. \n\n# Who is behind this?\n\n![uploaded image](/media/?type=post&id=82831&key=user_uploads/1931855/9d15dc8d-f99b-481f-b378-4f1f9c630691)\n\nHi, we’re Sebastian and Misha.\n\n[**Sebastian**](https://www.linkedin.com/in/sebastianjanisch/)**, CFA** built his expertise in quant research during his time as a Director in BlackRock’s Financial Modeling Group where he implemented and researched equity risk models that analyze trillions in assets.\n\nPrior to Bayesline, he was at Bloomberg, where he incubated the next generation of customizable and actionable quant products as part of the Quant & AI Research group.\n\nA computer scientist by training with M.Sc. in Finance and a passion for quant research, Sebastian spent the last 10 years leveraging the power of machine learning to challenge, innovate, and reshape how institutions think about financial modeling.\n\n[**Misha**](https://www.linkedin.com/in/mishavanbeek/)**, PhD** was among the youngest Managing Directors at BlackRock. He headed the portfolio risk research team that evolved Aladdin’s portfolio risk models across all asset classes.\n\nHe also headed the team that developed Aladdin’s economic scenario engine and investment models that manage roughly $400 billion in strategic asset allocations.\n\nMisha has spent the past 10 years coupling his professional quant training with his personal interest in all things AI and hands-on engineering.\n\n# Our Ask\n\n* **Try our our demo** [here](https://app.bayesline.com/signup). \\\n (only email and name required)\n* **Share this post!** Please help spread the word, as you never know who it may help\n* **Connect us** with quants, portfolio, and risk managers.\\\n \\* blurb to copy & paste:\\\n _The guys at Bayesline are ex-MD level BlackRock and Bloomberg. They are building a new class of analytics for asset managers, starting with equity factor risk and thematic factor construction. They can build fully customized and properly aligned models (custom universe, factors, exposure overrides, etc.) in seconds, far superior to what’s currently available. They deploy on the client cloud, ingest existing vendor data, and provide their engine to compute fully-fledged new risk models and analytics – all on the fly._", "url": "https://www.ycombinator.com/launches/LXz-bayesline-blazingly-fast-analytics-for-investment-managers", "votes": 120, "created_at": "2024-08-07T21:17:52.305Z" } ] }, { "id": 29687, "name": "MinusX", "slug": "minusx", "former_names": [ "minusone.ai", "minusx.ai" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/92dbd9d186e22d922d985755f90407e21859378a.png", "website": "https://minusx.ai", "all_locations": "San Francisco, CA, USA", "long_description": "MinusX is a state-of-the-art data agent that can build the best dashboards for your data, and notify you when something's up. You can interrogate all your data on our open source BI platform via Slack or MCP. Connect your data, and put agents to work.", "one_liner": "Open source agentic BI for founders", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722024736, "tags": [ "Machine Learning", "Analytics", "Data Science", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/minusx", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/minusx.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/minusx-ai", "x_url": "https://twitter.com/minusxai", "fb_url": null, "cb_url": null, "github_url": "https://github.com/minusxai", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/92dbd9d186e22d922d985755f90407e21859378a.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 164724, "full_name": "Vivek Aithal", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO of MinusX. Spent the last 3 years as a research engineer building the world's best open-source autonomous driving agent at comma.ai. Currently building a data science agent that can sit in your browser and use all your data tools. UC Berkeley and IIT Kharagpur grad. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vivek-aithal-575b207b/", "x_url": "https://twitter.com/nuwandavek", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/430c252ee108b6b83096cba330f4b1b46f7c26ab.jpg" }, { "user_id": 1798297, "full_name": "Sreejith Puthanpurayil", "title": "Founder", "founder_bio": "Co-Founder & CTO of MinusX. Previous stints include Ads Delivery & Ranking at Meta, Ride-hailing backend & infra at Gojek, & full stack at Elanic, a social c2c marketplace (acquired by Share Chat)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ppsreejith", "x_url": "https://twitter.com/ppsreejith_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/51ad324025788a0b7a4961ab7b419a0b20b734ff.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 82787, "title": "MinusX: AI Data Scientist for Jupyter and Metabase", "tagline": "An AI data scientist that is a scientist, not yet-another-new-analytics-platform.", "body": "# **TL;DR**\n\nMinusX is a Chrome Extension that adds a side chat to Jupyter and Metabase. Given an instruction, our agent operates the apps— via clicking and typing— to analyze data and answer queries. We strongly believe that you already have all the tools you need; you just need someone like MinusX to use them! Checkout [**minusx.ai**](http://minusx.ai) for more info.\n\n\n\n# **Asks**\n\n1. Install our [**Chrome extension**](https://minusx.ai/chrome-extension).\n2. Take MinusX for a spin in our [**playground**](https://minusx.ai/playground)!\n3. We’re working on supporting more tools. Want us to hurry up, or don't see your favorite tool in our list? Here’s a [**google form**](https://minusx.ai/tool-request) you can fill out so that we can notify you when we support your tool!\n\n# **Features**\n\n### 1\\. Generate Hypotheses and Explore data\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/53f4faaf-4dae-4226-9037-4142ffea5462)\n\n### 2\\. Interop with MinusX to modify existing Jupyter notebooks or Metabase Questions\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/259d0be2-0f20-4440-90af-84cae7297264)\n\n### 3\\. Select a region and ask questions, or ask for modifications\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/40ed2aeb-29c3-42c8-9e9b-3b1d96b866ae)\n\n# **Pain**\n\n* Lack of data analyst/data scientist bandwidth is a certified pain.\n* If you’re a programmer, you just want answers. If you’re a product manager, you just want answers. If you’re an analyst/scientist, you want 10 clones of yourself.\n* Any new fancy “talk-to-data” platform is a whole thing. You have to migrate your data, and you have to convince your whole team to move— just to start using it.\n* Working in ChatGPT / Claude requires constant copy-pasting. Also, you want to inter-operate with AI, make corrections when it messes up, and guide it rather than just admonish it in chat.\n* More importantly, they’re still just chat! No AI system today can really use analytics software - click and type - to get you that data you needed 5 minutes ago.\n\n# **Our Approach**\n\n> ### **_An AI Data Scientist is a Scientist, not yet-another-new-analytics-platform_**\n\n* Advanced agents should just work with tools you already use and get out of the way.\n* MinusX integrates seamlessly into workflows. You can invoke it only when you need it to do something.\n* Whether you’re a data analyst, programmer, or product manager, you can use MinusX to speed up your workflows instantly.\n* We believe the path to advanced agents runs through specialized, useful intermediaries.\n\n# **Team**\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/8f305720-54ba-4af7-9303-8125b9f02f2a)\n\nWe love to build stuff. We met about a decade ago in the drowsy hinterlands of IIT Kharagpur and have been building things together at work, on side projects, and at hackathons ever since. ​​[**Vivek**](https://x.com/nuwandavek) was most recently a Research Engineer working on self-driving cars at [**comma.ai**](http://comma.ai/), [**Sreejith**](https://x.com/ppsreejith_) was a Senior Engineer in the Meta shops ads ranking team optimizing Facebook Shops Ads delivery & core infrastructure, and [**Arpit**](https://x.com/arpit_tarang) was building a warehouse robot fleet as a Product Engineer at Udaan. We have extensive experience in machine learning, data infrastructure, and systems engineering needed to build the best, most delightful class of Data Science agents you'll ever use.\n\n# **Ask(ing again!)**\n\n1. Install our [**Chrome extension**](https://minusx.ai/chrome-extension).\n2. Take MinusX for a spin in our [**playground**](https://minusx.ai/playground)!\n3. We’re working on supporting more tools. Want us to hurry up, or don't see your favorite tool in our list? Here’s a [**google form**](https://minusx.ai/tool-request) you can fill out so we can notify you when we support your tool!\n\nIf you have any questions or comments, you can join our [**discord**](https://minusx.ai/discord) or ping me anytime at [**vivek@minusx.ai**](mailto:vivek@minusx.ai). Hope you enjoy using MinusX as much as we enjoy building it!\n\n### ❤️\n\n![uploaded image](/media/?type=post&id=82787&key=user_uploads/164724/a35b579f-ea8a-4bf4-a0d8-ad65bd607b47)\n\n", "url": "https://www.ycombinator.com/launches/LXH-minusx-ai-data-scientist-for-jupyter-and-metabase", "votes": 57, "created_at": "2024-08-06T20:14:50.518Z" } ] }, { "id": 29693, "name": "Gauge", "slug": "gauge", "former_names": [ "Bridge" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a1b74adcd6bfd4193d3eb1b786fb19988505e78.png", "website": "https://withgauge.com", "all_locations": "San Francisco, CA, USA", "long_description": "Agents are leading the next wave of growth for companies like Supabase, Openrouter, Resend, PostHog, Braintrust, and more.\r\n\r\nUnlike chat experiences, Claude Code, Codex, and Cursor are now implementing products autonomously. They are doing so without ever talking to a sales rep or taking a demo.\r\n\r\nGauge runs real chats and coding sessions to help your product get recommended and implemented by AI.", "one_liner": "Gauge helps you get recommended and implemented by AI.", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1717523721, "tags": [ "SaaS", "B2B", "Analytics", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Marketing" ], "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/gauge", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/gauge.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/withgauge", "x_url": "https://x.com/gauge_sh", "fb_url": null, "cb_url": null, "github_url": "https://linkedin.com/company/gauge-sh", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/8a1b74adcd6bfd4193d3eb1b786fb19988505e78.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 323364, "full_name": "Caelean Barnes", "title": "Founder/CEO", "founder_bio": "CEO at Gauge - Agent Led Growth.\n\nWe hep you improve your brand's presence in AI, get recommended by agents, and written into every customer's codebase.", "is_active": true, "linkedin_url": "https://linkedin.com/in/caelean", "x_url": "https://twitter.com/the1024th", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/887275e34b071a0714fd41887538bb298448cc89.jpg" }, { "user_id": 231566, "full_name": "Evan Doyle", "title": "Founder/CTO", "founder_bio": "CTO at Gauge - Agent Led Growth\n\nGet mentioned in AI chats, get recommended by coding agents, and get written into every customer's codebase.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/evan-doyle-060b0ab9", "x_url": "https://x.com/evandoyleDEV", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/27ab02271f5990357ace7b257906cbf858f4a26c.jpg" } ], "jobs": [ { "id": 85973, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/gauge/jobs/qemTjv7-founding-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$170K - $220K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "PostgreSQL", "Python", "React", "TypeScript", "Linux" ] }, { "id": 92833, "title": "Founding Sales", "url": "https://www.ycombinator.com/companies/gauge/jobs/juhjUfl-founding-sales", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$150K - $300K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 108321, "title": "Founding Customer Strategy", "url": "https://www.ycombinator.com/companies/gauge/jobs/ufnxGYP-founding-customer-strategy", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$80K - $150K", "equity_range": "0.10% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 100013, "title": "❓ Gauge Sentiment: See exactly how AI models talk about your brand", "tagline": "How is your brand perceived by AI?", "body": "Gauge now can tell you exactly how AI models talk about your brand.\n\n - When put in a head-to-head against your competitors, who wins?\n - In what ways are AI models bad-mouthing your brand? Talking up your competitors?\n\nGauge analyzes the results of these questions to tell you the exact positives and negatives surfaced.\n\nBeyond that, Gauge can actually trace the source of negativity back to its original destination - whether it be a\ncompetitor website, a social post, or something else.\n\nHere's a quick look at how that works:\n\n\n\nIf you're interested in learning how AI models talk about your brand, book a time here and we'll show you:\n\n", "url": "https://www.ycombinator.com/launches/Q17-gauge-sentiment-see-exactly-how-ai-models-talk-about-your-brand", "votes": 6, "created_at": "2026-04-21T19:43:11.277Z" }, { "id": 99472, "title": "🚀 Gauge gives you visibility into ads in ChatGPT.", "tagline": "🚀 Gauge is building the intelligence layer for ChatGPT Ads", "body": "Gauge gives you visibility into ads in ChatGPT.\n\nWant to know what ads your competitors are running in ChatGPT? With Gauge, you can now see exactly what ad copy is getting run against any prompt you choose.\n\nGauge is also a single point to manage your ChatGPT ad campaigns. Simply link your API key and get instant insights into your campaigns, ad groups, and performance.\n\nGauge also breaks down everything by spend, impressions, and clicks - calculating CTR and CPC on the fly.\n\nHere’s a quick overview of how it works:\n\n\n\nAre you running ads in ChatGPT, or interested in seeing how your competitors are? Grab a time with our team and we’ll show you: ", "url": "https://www.ycombinator.com/launches/PsO-gauge-gives-you-visibility-into-ads-in-chatgpt", "votes": 8, "created_at": "2026-04-06T16:33:16.207Z" }, { "id": 98751, "title": "🚀 Gauge: Your marketing agent for organic, paid, and AI search", "tagline": "A single agent that can do the work of an entire marketing team", "body": "With user behavior spreading across traditional and AI search, it’s never been more important to ensure that your brand is the answer. There’s a wealth of data distributed across GA4, GSC, keywords, prompts, ads, and more. This data is incredibly rich, but fragmented and complicated to understand.\n\nGauge unifies all of these data sources into a single agent that can do the work of an entire marketing team. Here’s how it works:\n\n\n\nWe started by building a best-in-class GEO/AEO platform, with a core focus on getting the right data. We quickly found that data alone isn’t enough. Our users kept asking:\n\n1. How can I make sense of all of this prompt/answer data?\n2. How does it relate to my existing data?\n3. What are the actual things I need to do to move the needle?\n\nOur agent interprets all of your data sources and executes high-value work for you. Gauge can run keyword research, analyze the competition, and track prompts over time for you. Once Gauge has all the data it needs, it can build and execute plans of attack, recommending and drafting focused content. Gauge also lives where you already work, with MCP and Slack bot support.\n\nGauge is already a core part of the marketing stack at some of the best YC companies - Supabase, PostHog, Mux, and more.\n\nIf you’d like to give Gauge a go, you can [try it now for free](https://www.withgauge.com/features/ask-gauge)! We also have a YC discount for 50% off your first month: FRIENDSOFYC\n\nOur main ask is feedback - would love to see you push our agent and make it uncomfortable! What do you want a marketing agent to do for you that it can’t do today?\n\n![uploaded image](/media/?type=post&id=98751&key=user_uploads/323364/04c1c5f3-b97f-4ab7-b69e-e463ac8e7187)\n\n", "url": "https://www.ycombinator.com/launches/Pgl-gauge-your-marketing-agent-for-organic-paid-and-ai-search", "votes": 16, "created_at": "2026-03-12T18:10:29.538Z" }, { "id": 90559, "title": "Gauge - Show up in more AI answers", "tagline": "💡 Gauge helps your company show up in more AI answers", "body": "**Gauge helps your company show up more in AI answers.**\n\n### ⚠️ Why should you care?\n\n* [Google searches are falling for the first time ever](https://www.wsj.com/tech/ai/ais-threat-to-google-just-got-real-8280b4ee?utm_source=chatgpt.com) ([and Google itself is moving to AI answers](https://www.theverge.com/news/655930/google-q1-2025-earnings))\n* [Gartner predicts AI chatbots will capture 25% of search volume by next year](https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents)\n\nWith traffic leaving search, traditional SEO is dying. Our customers are seeing inbound AI traffic **double every quarter**.\n\n### 💡How do we help?\n\nWe measure how often you and your competitors are referenced by AI, and derive insights from changes in the data over time.\n\nLet’s take a look at how this works:\n\nhttps://www.youtube.com/watch?v=HPXcshLuQD4\n\nWe came across this problem through an Open Source Day hosted by YC. There, we heard from a huge range of speakers, including Vercel, Elastic, Resend, and Airbyte. A consistent theme across every speaker was the new inbound they were seeing from ChatGPT.\n\nWe decided to run an experiment: [productrank.ai](http://productrank.ai).\n\n[productrank.ai](http://productrank.ai) lets you search for a topic, and see how the top models rank them. [Check it out here!](https://productrank.ai)\n\nIn just a few weeks, we reached the front page of HN, saw over 40,000 organic users, and found our first design partners.\n\nOur early customers include LendingTree, ChartHop, Resend, Helius, Standard Metrics, and more. If you’re curious in how often AI mentions your brand, [grab 15 minutes here and we’ll show you.](https://cal.com/caelean/15)\n\n### **❓Asks**\n\n* Play around with [**productrank.ai**](http://productrank.ai)!\n* Curious how often AI mentions your brand? [**Grab 15 min here!**](https://cal.com/caelean/15)\n* Know any marketers or SEO specialists? We’d love an intro! [**Send me their name here**](mailto:caelean@withgauge.com)!\n\n![uploaded image](/media/?type=post&id=90559&key=user_uploads/323364/0b94db77-ab63-4470-afb0-6b73c6074965)\n\n", "url": "https://www.ycombinator.com/launches/NYd-gauge-show-up-in-more-ai-answers", "votes": 28, "created_at": "2025-05-20T17:25:21.072Z" } ] }, { "id": 29745, "name": "Sharpe", "slug": "sharpe", "former_names": [ "January", "Lumenary", "Lumenary, Inc.", "Lumenary" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed377f5e3e709abc9139475076cec71316b01c06.png", "website": "https://sharpe.sh", "all_locations": "San Francisco, CA, USA", "long_description": "Sharpe helps traders go from idea to profit in minutes with AI, bundling petabytes of market data with high-performance infrastructure.", "one_liner": "Agents for quantitative research and financial data science.", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722638950, "tags": [ "Finance", "Analytics", "Big Data", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/sharpe", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/sharpe.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/sharpe011235", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ed377f5e3e709abc9139475076cec71316b01c06.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 308988, "full_name": "Vivek Hazari", "title": "Founder", "founder_bio": "Vivek is a co-founder of Sharpe. Vivek spent 2 years at Palantir Technologies, where he worked across the commercial business, and later help found and lead a team to aid the development of AIP. He studied Computer Science and Philosophy at Dartmouth College, where he did research on applications of language models.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vivekhaz/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0cf7befe3f5ca27609ce2af3997c897f306b3e72.jpg" }, { "user_id": 1131934, "full_name": "Daniel DiPietro", "title": "Founder", "founder_bio": "Dan is the co-founder of Sharpe. Previously, Dan worked at Jane Street, where he built capital allocation optimizations used in production to invest billions of dollars of assets, as well as an options tool used to execute >$100m of trades annually. He has published multiple first-author publications in high-impact venues like NeurIPS and CoRL. Dan moonlights as a botanist and published a best-selling botanical textbook on carnivorous plants while studying at Dartmouth College.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-dipietro/", "x_url": "https://twitter.com/dandipietro1", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b72974d4717fb918125809f70966e2f04f32fc1e.jpg" }, { "user_id": 1944134, "full_name": "John McCambridge", "title": "Founder/CPO", "founder_bio": "CTO of Sharpe & former high-frequency trading engineer - I like to fly (and jump from) small aircraft, build rockets with kitchen chemicals, visit vulnerable endpoints, and play poker - Born in New Zealand, raised in Scottish Highlands.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/johnmccambr", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d068cf589b32c00f9e6b858284fcb48465e279f2.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 91284, "title": "Solar: An infinite canvas for vibe-coding production apps", "tagline": "We build the most complicated full-stack apps, faster than anywhere else.", "body": "## TL;DR\n\nSolar lets small teams collaborate with AI agents to build and deploy production apps in minutes. Like Figma, but no mockups—just real software with live data and backend Python functionality. Built by our full-stack AI agent, powered by your imagination.\n\nhttps://youtu.be/Gl03z0M8BWk\n\n## Why this, and why us?\n\nHi everyone! We’re Vivek, Dan, John, and Ziray: the team behind [Lumenary](http://www.lumenary.com). We met each other during our first few weeks at Dartmouth and have been best friends ever since. We’ve lived together, worked together, traveled the world together, and have even summited some notable peaks together (don’t ask about Mount Shasta).\n\nOur team brings together engineering from Palantir, Jane Street, IMC Trading, and Flatiron Health. We’ve built enterprise-grade AI products, a capital allocation system that controls billions, a data engine that processes petabytes–we _all_ build and deploy software _quickly_ in contexts _where it cannot fail_.\n\nSolar began as an internal tool that we used to ship enterprise demos faster than any tool on the market. We decided to productize and focus on Solar completely.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/0e7139b1-e4ab-4818-b5c5-040e6c1e6d37)\n\n## The Problem\n\nWe’re a team of four engineers who’ve used nearly every AI-powered app builder. Projects started off great, but we found ourselves in an endless loop of “revert, and try again.” Most of our time was spent waiting and hoping as the LLM made changes one-at-a-time.\n\nEven when the app seemed to work, it was unclear what were real features versus frontend demoware. We lacked an understanding of the architecture, dataflow, and what vulnerabilities were left open. It felt like these platforms had prioritized making neat frontends and bolted on real functionality as an afterthought.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/f231fdfb-a63c-4006-a269-db8dd2df2376)\n\n## What we do\n\nWe loved three things:\n\n* Figma’s flexibility — work on many designs with many people\n* Cursor’s power — write production code with LLMs\n* Retool’s safety — ship apps that you know work\n\nWe combined those to make Solar.\n\nSolar’s AI agents collaborate alongside you on a multiplayer canvas. You can see the relationships and data flow between database tables, backend Python logic, and frontend pages.\n\n![uploaded image](/media/?type=post&id=91284&key=user_uploads/1944134/12b01a63-bcd6-430d-bb33-4b274d542423)\n\nSolar makes apps production-worthy by combining LLM-generated code with deterministic code generation for databases, services, and authentication. This makes your apps maintainable and deployable past the MVP, and able to integrate nicely with existing infrastructure.\n\nWe’re the most agentic platform on the market: Solar will read logs, interact with your application, and work for minutes or even hours unattended to get it perfect.\n\n## Our Ask\n\nSign up at https://solarapp.dev and try building an app.", "url": "https://www.ycombinator.com/launches/NkK-solar-an-infinite-canvas-for-vibe-coding-production-apps", "votes": 27, "created_at": "2025-06-13T15:20:00.950Z" } ] }, { "id": 29764, "name": "Zeit AI", "slug": "zeit-ai", "former_names": [ "Cascada AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8b12b6d63b7ef88542a88cfd73009aa6a48073f.png", "website": "https://zeit-ai.com/", "all_locations": "Munich, BY, Germany", "long_description": "Ask a question in plain English and ZeitMind connects SAP, your ERP, CRM, HR systems and 600+ other sources, prepares the messy data, and turns it into the live applications your teams actually make decisions with.\r\n\r\nIt is built for the finance, controlling, procurement, supply chain and sales teams at companies that run enterprise systems without an enterprise data team.", "one_liner": "The autonomous data engineer for the mid-market", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1722311835, "tags": [ "SaaS", "B2B", "Analytics", "Data Engineering", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "Germany", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": [ { "question": "How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)", "answer": "For years we worked side by side at Palantir, building with some of the largest industrial companies on the continent. Leopold led the established customer business across Germany, Austria and Switzerland. Marvin owned and deployed the first instances of what became the Artificial Intelligence Platform (AIP). Together we shipped projects that turned into more than €50M in new revenue.\r\n\r\nIn summer 2024 we left. We had seen what forward-deployed engineers do for large enterprises, and one thing kept showing up: the people who actually run a business, the heads of controlling, the buyers, the plant managers, are still moving data by hand. The signal sits in the ERP, in the CRM, and in a dozen tools that do not talk to each other. So decisions get made in spreadsheets and on gut feel. The gap between the two is where companies lose time, money and confidence.\r\n\r\nWith today’s frontier models that work can finally be done at software scale. So we are building the autonomous data engineer for the mid-market. ZeitMind connects SAP, your ERP, CRM, HR systems and 600+ other sources, prepares the messy data, and turns everyday business questions into live dashboards, reports and applications, all in natural language.\r\n\r\nWe joined Y Combinator in S24, put it in front of real controlling, procurement and supply chain teams, and went from zero to €1M ARR in twelve months with six people, customers live in weeks and no IT support needed. Today we are 12 engineers, builders and operators across Munich and London." } ], "url": "https://www.ycombinator.com/companies/zeit-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/zeit-ai.json", "year_founded": 2024, "city": "Munich", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/103332732/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/zeit-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/a8b12b6d63b7ef88542a88cfd73009aa6a48073f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e340d08b700c98d24e9d28a582f8141ef5bf95db.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f82c4b946c9a049b314b8f31ecbf9c4998b12fad.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1927760, "full_name": "Leopold von Waldthausen", "title": "Founder/CEO", "founder_bio": "I spent 3.5 years at Palantir, where I ended up leading all established customers in Germany, Austria and Switzerland. Before that I studied CS at Oxford, published research on process mining and cryptography, and quit an MBA at Yale. I started my first business, weview, at 18, ran it for three years and sold it to DemoUp Cliplister.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/v-waldthausen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/73e79aa8777653820b332f6a370b2b9e220a0024.jpg" }, { "user_id": 1960524, "full_name": "Marvin Christopher Bornstein", "title": "Founder/CTO", "founder_bio": "Before Zeit AI, I spent five years at Palantir, where I owned and deployed the first instances of what became AIP, across chemicals, railway infrastructure, media, utilities, insurance and medical equipment. Grew up around Berlin, spent the last five years in London. Writing software for 18 years, professionally for ten, mostly full stack and data engineering. Deep learning research, more hackathons than I can count, and a weakness for InfoSec CTFs.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/mcbornstein/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d6b040be9d7efb73db0e86e1e3ed209660c049a6.jpg" } ], "jobs": [ { "id": 98788, "title": "(Junior) Account Executive (f/m/d)", "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/NnsWGLk-junior-account-executive-f-m-d", "location": "Munich", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "€120K - €150K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 98790, "title": "(Senior) Business Development Representative (m/f/d)", "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/APacFc6-senior-business-development-representative-m-f-d", "location": "Munich", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "€70K - €100K EUR", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 98791, "title": "Backend Engineer (Infrastructure & Platform) (f/m/d)", "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/X4utXOx-backend-engineer-infrastructure-platform-f-m-d", "location": "Munich / London, England, GB / Remote", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€95K - €270K EUR", "equity_range": "", "experience": "3+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 98797, "title": "Forward-Deployed Engineer (f/m/d)", "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/tDRfUJB-forward-deployed-engineer-f-m-d", "location": "Munich", "type": "Full-time", "role": "Engineering", "role_type": "Data science", "salary_range": "€70K - €230K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] }, { "id": 105515, "title": "Founders Associate (Growth & Marketing)", "url": "https://www.ycombinator.com/companies/zeit-ai/jobs/9fQBgkg-founders-associate-growth-marketing", "location": "Munich", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "€60K - €120K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 83344, "title": "📈💡Zeit AI: Insights from your tabular data with just a few words", "tagline": "Connect your ERP, CRM, CSVs to query them with natural language. 🗂️✅💬", "body": "### **🏆 TLDR**\n\n[Zeit AI](https://www.zeit-ai.com/) is ChatGPT for enterprise tables. You can sync tables from your data bases, ERP systems, CRMs, CSVs and more. Atop of these tables, simple questions in natural language can be used to locate data, combine it, generate analyses, or even charts. All results are repeatable and explainable. They can be exported at the click of a button. [Watch our demo!](https://youtu.be/u3NcYh4zCz4)\n\n# 🧑‍💻🌟 **The Team**\n\nTogether, [Marvin](https://www.linkedin.com/in/mcbornstein/) and [Leopold](https://www.linkedin.com/in/v-waldthausen/) have over 15 years of combined experience in data engineering and analytics. During our four years side-by-side at Palantir, we led high-impact projects, building an AI rule-engine and generating over €50 million in novel project revenue. We saw first-hand how corporates heavily relied on Excel files, leading to manual work to analyse and combine data. A solution like Zeit AI would have been a game-changer in accessing this data at scale.\n\n![uploaded image](/media/?type=post&id=83344&key=user_uploads/1927760/4024d05f-c883-4ea7-8053-a6e3eb0fdf7b)\n\n# ⚠️ **Problem**\n\nNon-technical users find it challenging to access and analyse enterprise data. Yet, making data-driven decisions is crucial in today’s fast-paced world.\n\n1. Data is stored in files rather than structured databases.\n2. Databases cannot be accessed by non-technical users.\n3. Data often needs to be exported and manually combined in Excel.\n\n# 💡 **Solution**\n\nZeit AI allows non-technical users to derive ad-hoc insights from tables using natural language. This is possible in just three steps.\n\n1. Sync data files directly from your source systems (We support data bases, ERP, CRM and even CSV uploads).\n2. A structured cloud database is instantly generated and ready to be explored.\n3. Use natural language to seamlessly derive insights from the data.\n\n![uploaded image](/media/?type=post&id=83344&key=user_uploads/1927760/e6ce9c09-e77a-419e-8fae-adda888b1612)\n\n# 🛠️ **How Zeit AI is Used Today**\n\n**Procurement** 🛒 Gaining the upper hand during negotiations by having ad-hoc access to all historical procurement data.\n\n**Consulting** 🗂️ Rapidly explore and analyse data rooms and client files using natural language to confidently deliver value to clients.\n\n**Controlling** 📊 Access extracts from accounting systems and seamlessly combine them with files across departments for comprehensive financial control.\n\n# ✅ **Ask**\n\n[Book a slot](https://calendly.com/leopoldwaldthausen/deploy-zeit-ai) with us to explore using Zeit AI. Refer us to procurement managers and senior consultants. ([founders@zeit-ai.com](mailto:founders@zeit-ai.com))\n\nGet on a [30-minute call](https://calendly.com/leopoldwaldthausen/zeit-ai-demo-booking) with us for a live demo or free office hours for anyone struggling to easily access tabular data at scale.", "url": "https://www.ycombinator.com/launches/LgG-zeit-ai-insights-from-your-tabular-data-with-just-a-few-words", "votes": 87, "created_at": "2024-08-23T17:41:00.051Z" } ] }, { "id": 29768, "name": "Ember Robotics", "slug": "ember-robotics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7501c381ec6654b0249e7c8d1881f708e27ce6e.png", "website": "https://www.emberrobotics.com", "all_locations": "San Francisco, CA, USA", "long_description": "Ember builds hardware and system observability tools for robots and IoT devices. Founded by former Tesla Autopilot engineers, we help hardware teams catch failures early, reduce downtime, and iterate with confidence from prototype to scale.", "one_liner": "Datadog for robots", "team_size": 2, "industry": "Industrials", "subindustry": "Industrials -> Manufacturing and Robotics", "launched_at": 1722583865, "tags": [ "Developer Tools", "Robotics", "B2B", "Analytics", "Data Visualization" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "Industrials", "Manufacturing and Robotics" ], "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/ember-robotics", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/ember-robotics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/ember-robotics", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d7501c381ec6654b0249e7c8d1881f708e27ce6e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6c2229c2c42289396d01eae7f571cb9a5c3d6351.png" ], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1932951, "full_name": "Shivani Mouleeswaran", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO @ Ember Robotics. Previously at Tesla Autopilot / Simbe Robotics. I love robots, basketball, and playing the sitar!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shivanicm", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ca21e267ed252271b8234a225ca024e791db442e.jpg" }, { "user_id": 1946129, "full_name": "Ritika Shrivastava", "title": "Founder/CTO", "founder_bio": "Ritika is a roboticist who loves helping robots see 🕶! She is a proud UC Berkeley alumna (B.S. EECS '21 & M.S. EECS '22) 🐻, where she researched and taught about computer vision and robotics. Formerly a computer vision engineer at Tesla Autopilot, Ritika is excited to build tools that help roboticists!\n\nIn her free time, she enjoys playing tennis 🎾, building gizmos, and reading 📖!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ritikashrivastava/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/62f2b8c1226f588a683c681ac6ac1c7ceb5d341c.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87515, "title": "Ember Robotics: Datadog for Robots", "tagline": "From prototype to scale, we keep robots running", "body": "# **tldr; Fast-track your robotics development**\n\nAt [**Ember**](https://www.emberrobotics.com/), we make it easy for robotics teams to catch and fix issues fast. Our edge-first robot diagnostics platform helps you stay on top of system performance—whether you're prototyping, scaling, or deploying in the field. \\\n\\\nWith instant insights and built-in reliability, we help you move faster, build smarter, and launch with confidence. Ready to try it out? Book a demo [**here**](https://www.emberrobotics.com/) or reach out to us at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)!\n\n# **The problem**\n\n1. **No Visibility in Low-Network Zones** – When robots lose connectivity, **cloud-based diagnostics fail**, making it hard to track performance or troubleshoot failures in real time.\n2. **Slow, Costly Root-Cause Analysis** – Debugging is painful, with teams sifting through **dense logs and complex graphs** instead of getting clear, actionable insights.\n3. **Inefficient DIY Monitoring Stacks** – Robotics teams **waste months building custom diagnostics** because existing tools don’t work for their needs.\n4. **Reactive Debugging Leads to System Failures** – Without **proactive monitoring**, small issues snowball into major downtime and expensive repairs.\n\n# **Our solution**\n\n### **🌐 Works Offline**\n\n* **Edge-first diagnostics** to store and analyze data even when the network is down.\n* **Smart caching & prioritized sync** ensure no critical insights are lost.\n\n### **🔍 Faster, Clearer Troubleshooting**\n\n* **Instant anomaly detection** surfaces failures before they escalate.\n* **Real-time sensor & system health analytics** (cameras, IMU, LiDAR, CPU, memory).\n* No more digging through logs—just **straightforward insights** when you need them.\n\n### **⚡ Seamless Integrations**\n\n* **Built-in Sensor Plugins & Robotics Middleware Support** – Off-the-shelf support for **Intel® RealSense™, Luxonis®, Orbbec®**, and more. Easy integrations for **ROS and e-Cal** —no extra setup required.\n* **Deploy in minutes with standard Linux packages**—skip the custom integrations.\n* **API-first design** lets you access diagnostics effortlessly and extend with your own **custom metrics plugins**.\n\n### **📈 Scale up to Fleet-Wide Monitoring**\n\n* Grow reliably from 1 to 10,000 robots with **consistent, structured data collection**.\n* Identify **trends & patterns across groups of sensors and devices**.\n* Works in **low-bandwidth environments**, ensuring continuous insights.\n\n# **Check it out**\n\n![uploaded image](/media/?type=post&id=87515&key=user_uploads/1932951/8cd43030-d313-4ade-af0d-f7fe7197ac0d)\n\n[**\\[dashboard demo\\]**](https://www.tella.tv/video/ember-robotics-dashboard-gvog)\n\n[**\\[real-time diagnostics demo\\]**](https://www.tella.tv/video/ember-real-time-diagnostics-walk-through-dcdf)\n\n### **Meet the team**\n\nWe built software at Simbe Robotics and Tesla Autopilot to optimize robot reliability—covering real-time diagnostics, sensor calibration, field service alerts, and low-latency data pipelines. From early R&D to fleet-scale deployment, we ensure robots stay operational, efficient, and ready for any environment.\n\n![uploaded image](/media/?type=post&id=87515&key=user_uploads/1932951/b82857af-566f-465a-8212-74965d060e03)\n\n# \n\n# **Our ask**\n\nStruggling with blind spots in your fleet? Drowning in logs while root-causing issues? **Ember streamlines troubleshooting and ensures reliable performance—no matter the network conditions.**\n\n🔹 **Book a demo** → [**here**](https://www.emberrobotics.com/)\n\n🔹 **Know someone working with robots, drones, or multi-camera systems?** Send them our way!\n\n🔹 **Just love talking robots?** Same—let’s chat!\\\n\\\nLet’s make **robot monitoring effortless.** Hit us up at [**founders@emberrobotics.com**](mailto:founders@emberrobotics.com)! 🚀", "url": "https://www.ycombinator.com/launches/MlX-ember-robotics-datadog-for-robots", "votes": 25, "created_at": "2025-02-07T22:07:48.510Z" }, { "id": 82673, "title": "Ember Robotics: Camera diagnostics for robots", "tagline": "Reducing vision failures from the source", "body": "# **tldr; Got camera problems? We’ve got solutions.**\n\n[Ember](https://www.emberrobotics.com/) builds software to monitor and resolve robot camera issues - so you can reduce vision failures from the source.\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\n### **The problem**\n\nWe’ve spent years working on vision systems for autonomous robots and found similar issues everywhere:\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/335dd4a4-e0b6-4c6b-bb64-a4c9c0c60f7f)\n\n☐ Robotics companies work on lean teams that have to do lots of things super fast - **hardware reliability is often secondary to core product features**\n\n☐ **Camera failures cause large fires** because they float up the stack to critically damage perception, controls, and safety\n\n☐ **Digging through layers of software / hardware to figure out what went wrong is painful** (ex. sometimes you spend hours goose-chasing a “perception issue” just to find a loose cable)\n\n### **Our solution**\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/9c181ef2-e04a-498d-a839-35bfa75fd1dc)\n\n**A camera diagnostics framework that ties in real-time data, logs, and reports to contextualize your robot’s vision health.** Support the full life-cycle of your robot with features like:\n\n✅ Out-of-the-box tracking for common issues (disconnection, frame drops, time sync)\n\n💬 Automated suggestions for error resolution\n\n⏱️ Real-time alerts\n\n🖌️ Image quality analysis tools to optimize computer vision\n\n📈 Historical data analysis for predictive maintenance\n\n### **Try it out: Plug-and-play camera testing**\n\nBench-test cameras or diagnose issues in the field with one easy tool. **Fill a config file, launch our service, and get fast metrics on camera health.**\\\n[demo](https://www.youtube.com/watch?v=OnoCmdVEzzM)\n\nCurrently we support Intel® RealSense™ D400 cameras and ROS - more cameras and pub-sub models coming soon!\n\n### **Meet the team**\n\n![uploaded image](/media/?type=post&id=82673&key=user_uploads/1932951/cc554985-1fa2-4bd8-9d16-96609bb82645)\n\nHi, we are [Shivani](http://linkedin.com/in/shivanicm) & [Ritika](https://www.linkedin.com/in/ritikashrivastava/)! We built software at Tesla Autopilot to optimize camera performance for autonomy. We’ve covered the camera stack end-to-end (low-latency image capture, real-time camera monitoring, online camera calibration, multi-trip reconstruction, and SLAM) - we’re passionate about helping robots see!\n\n### **Our ask**\n\nIs robot camera reliability or degraded vision driving you nuts? Book a demo [here](https://www.emberrobotics.com/) or reach out to us at [founders@emberrobotics.com](mailto:founders@emberrobotics.com)!\n\nIf you know anyone working on robots, drones, or other multi-camera systems (surveillance, manufacturing, etc.) we would love a warm intro.\n\nAnd for those who are just generally robot-curious - always happy to chat!", "url": "https://www.ycombinator.com/launches/LVR-ember-robotics-camera-diagnostics-for-robots", "votes": 101, "created_at": "2024-08-02T13:50:39.909Z" } ] }, { "id": 29770, "name": "Intryc", "slug": "intryc", "former_names": [ "Sentify" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7ba643e872dfb236016ba560ace56c12e3baf83.png", "website": "https://intryc.com", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Enterprises have millions of customer interactions every year but are only able to monitor less than 2-5% of those. The rest 95% is unmonitored risk across compliance, customer experience, product defects, and agent performance. With AI agents widely deployed across customer support organisations this problem increases exponentially. Every company needs a unified layer that allows them to monitor and govern all customer interactions with customer support teams, humans and AI. Intryc is building this layer. ", "one_liner": "Intryc is the unified quality assurance, governance, and training…", "team_size": 12, "industry": "B2B", "subindustry": "B2B -> Operations", "launched_at": 1721158274, "tags": [ "Customer Success", "Analytics", "Customer Support", "Operations" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Operations" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/intryc", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/intryc.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/intryc/", "x_url": "https://x.com/intryc", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/c7ba643e872dfb236016ba560ace56c12e3baf83.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/082f6bf91f92e7a22be814a212f09aa1c9f6889e.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1341483, "full_name": "Alex Marantelos", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Intryc. Previously led Customer Success in Northern Europe for Confluent, overseeing $40M+ in ARR across strategic customers. Worked closely with Confluent's executive team to define everything that touches landing, onboarding, expanding, and renewing customers. Before that, first Enterprise Customer Success Manager in EMEA for Navan (fka TripActions) establishing the EMEA first team and presence.", "is_active": true, "linkedin_url": "https://linkedin.com/in/ioannis-alexandros-marantelos", "x_url": "https://x.com/alexmarantelos?lang=en", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c3a58808cfffd666793023b4f34a5b42ca09ff0.jpg" }, { "user_id": 1584551, "full_name": "George Pastakas", "title": "Founder/CPO", "founder_bio": "Co-founder and CPO of Intryc. Previously, #1 employee at Pledge (data science and engineering), led fraud detection at Revolut (ML models, algorithms and operations).", "is_active": true, "linkedin_url": "https://linkedin.com/in/georgepastakas", "x_url": "https://twitter.com/georgepastakas", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c0a5b89af1ad0fc890f9e598de5194e4ad9f1c1c.jpg" } ], "jobs": [ { "id": 66893, "title": "Fullstack Software Engineer", "url": "https://www.ycombinator.com/companies/intryc/jobs/Lr6k3V0-fullstack-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$140K - $180K", "equity_range": "0.20% - 0.30%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Django", "Flask", "Python", "React", "TypeScript", "Data Modeling" ] }, { "id": 71752, "title": "Machine Learning Engineer", "url": "https://www.ycombinator.com/companies/intryc/jobs/39DcEk8-machine-learning-engineer", "location": "San Francisco, CA, US / Remote (US; GB; GR)", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $250K", "equity_range": "0.30% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Python", "Elasticsearch", "Deep Learning", "Chatbots" ] }, { "id": 73635, "title": "Senior Product Designer", "url": "https://www.ycombinator.com/companies/intryc/jobs/xrvcSVT-senior-product-designer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Product", "role_type": null, "salary_range": "$140K - $170K", "equity_range": "0.20% - 0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "Prototyping", "Branding", "Figma" ] }, { "id": 79518, "title": "Head of Marketing", "url": "https://www.ycombinator.com/companies/intryc/jobs/bxXF0vV-head-of-marketing", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K - $180K", "equity_range": "0.30% - 0.70%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Marketing design", "Figma" ] }, { "id": 89169, "title": "Customer Success Manager", "url": "https://www.ycombinator.com/companies/intryc/jobs/Dp2lPsH-customer-success-manager", "location": "US / Remote (US)", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$80K - $120K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93459, "title": "Senior Fullstack Software Engineer", "url": "https://www.ycombinator.com/companies/intryc/jobs/hJO8Wet-senior-fullstack-software-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $220K", "equity_range": "0.50% - 0.70%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Intryc raises $3.1M for customer service monitoring software - Tech.eu", "url": "https://tech.eu/2025/01/23/intryc-raises-3-1m-for-customer-service-monitoring-software/", "date": "Jan 23, 2025" } ], "launches": [ { "id": 94385, "title": "Intryc: AI Simulations and QA for CX Teams", "tagline": "All-in-one Quality Assurance and Training Platform for world-class CX Teams", "body": "Hi YC community!\n\nTeam Intryc (S24) here and excited to show you the second and most upgraded iteration of our product, already used by billion dollar companies like [Deel.com](http://Deel.com) and Blueground as well as hypergrowth startups like Fyxer AI and Factorial.\n\n| The Team |\n\nFor those who don’t know us yet, our team spent 8+ years in the CX space. We’ve solved support tickets, managed accounts, built cross-country/continent teams and created entire playbooks and processes of how world-class CX teams should interact and support customers across the globe in our previous employers at Revolut, Confluent, Navan, Meta, Amazon.\n\n| The Problem |\n\nCreating a culture of operational excellence, overachieving, and top performance is one of the toughest challenges every company and leadership team face.\n\nEspecially in CX, every customer interaction can make or break that customer trust and turn into a nightmare or opportunity. There’s two sides to this problem. Lack of visibility and time to action.\n\nWe solved the first half during our S24 batch when we released our AI QA tool for CX teams that allows companies to monitor up to 100% and the most important samples of their customer interactions. Moving onto the second half, CX and Learning & Development managers spend 15+ hours per week building performance improvement material, aligning resources, and ensuring agents, CSMs, and adjacent CS Ops teams are well trained and prepared. Through role plays, shadowing, piecing together training material, reiterating, and updating the relevant resources - all critical activities yet still remain highly manual, unscalable, and more often than not outdated and simplistic. 2 out of 3 customers churn after a single negative support interaction. Training and coaching is more often than not limited, reactive, time-consuming, and inconsistent.\n\n| The Solution |\n\nRealistic Simulations: Agents practise on challenging, real-life scenarios (based on past tickets) in a safe environment. Low stakes, high gains!\n\nAutomated Scoring: Every interaction is measured against your org’s policies & playbooks, with unlimited tries and clear graduation paths. No more guesswork, team members get instant and clear feedback.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/db13b953-549f-4336-95a6-c394e5de273b)\n\nTargeted Coaching: Managers instantly see who needs help and where, cutting wasted training time. Enough with one-size fits all, different people need help in different areas.\\\n\\\nAlways Improving: Both new joiners and seasoned agents keep up-to-date with new products or processes effortlessly.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/68f1a2c1-1c0f-4b44-833b-4c4533e2d3a6)\n\nContinuous monitoring and process improvement: All data points are collected in personalised dashboards and reports that create a virtuous cycle of improvement across the team while completely eliminating up to 80% of manual preparation work and continuous manual data gathering and reporting across the organisation. Systems over wishful thinking.\n\n![uploaded image](/media/?type=post&id=94385&key=user_uploads/1341483/3a7b12dc-7bf0-4904-9e84-ed0a38cd5517)\n\nThe first results on our early adopters show onboarding and training time reduced by up to 50%. Managers reclaim 12–15 hours per week.\n\nAgents have a lot more visibility on their performance progress, don’t have to guess any more and continuously improve like having a personal coach in their pocket.\n\nWe’re excited for as many of you as possible to give this a try and share your feedback!\n\nUpvote our launch here: [https://www.producthunt.com/products/intryc?launch=intryc](https://www.producthunt.com/products/intryc?launch=intryc%5C)\\\nThank you all for your support!", "url": "https://www.ycombinator.com/launches/OYL-intryc-ai-simulations-and-qa-for-cx-teams", "votes": 10, "created_at": "2025-10-07T20:23:56.000Z" }, { "id": 82343, "title": "Intryc - Use AI to automate Quality Assurance for Customer Support", "tagline": "Sample tickets, evaluate human and AI agents, and unlock customer insights across all your customer interactions", "body": "Hi everyone, we’re Alex, George, and Dimi!\n\nWe are ex-Meta, Amazon, Revolut, and Confluent engineering and GTM folk who have spent more than 7 years improving the customer experience in companies like Meta, Amazon, Revolut, Confluent, and Navan. We decided to build Intryc with the mission to centralize and automate the repetitive, error-prone, and manual tasks in the Support QA process to free up the time of CX teams so they can focus on what really matters to them - their customers and business goals.\n\n![uploaded image](/media/?type=post&id=82343&key=user_uploads/89898/63e0ef63-8615-4520-b36e-bcabccfdad58)\n\n**tl;dr**\n\n[Intryc](https://intryc.com/) uses AI to automate Quality Assurance for customer support. Customers like [Deel.com](http://deel.com) centralize and automate parts of their Quality Assurance on Intryc to ensure agent compliance, double QA productivity, reduce costs by 50%, and prevent negative customer interactions while collecting actionable product and customer insights.\n\n**The Problem**\n\nQuality assurance for customer support is vital in regulated sectors like banking and utilities. Millions of customer inquiries must be handled and evaluated consistently and accurately to avoid regulatory non-compliance and brand reputation damage. This process is typically run manually by internal teams that still rely on outdated systems or spreadsheets to review and evaluate customer interactions. Even the most efficient QA teams can evaluate less than 5% of total tickets, leaving millions of interactions unreviewed and risking regulatory compliance, reputation damage, and increased customer churn.\n\n![uploaded image](/media/?type=post&id=82343&key=user_uploads/1341483/44a793a2-2c70-4389-ab09-8970eaaf7e7a)\n\n**The Solution**\n\nIntryc’s AI-powered solution automates the manual, repetitive, and error-prone tasks of the QA process, integrates with knowledge bases and data sources, such as help desks and CRM systems, to streamline the entire process end-to-end and allows organisations to scale their Support QA, without the scaling costs!\n\n\n\n**What Intryc offers:**\n\n* **Automated Intelligent Sampling**\n * Automate your sampling and workload distribution to ensure an optimal ratio of QA specialists to sampled tickets, minimising idle QA time.\n * Create targeted customer ticket samples with AI based on sentiment, keywords, or other custom rules.\n* **Dynamic Workload Distribution**\n * Create hybrid or fully automated AI evaluation workloads to double your team’s productivity.\n* **Custom Scorecards and Unlimited Coverage**\n * Optimize your scorecards with customized criteria based on internal playbooks, knowledge bases, or evaluation repositories.\n * Score up to 100% of your tickets with AI without a single human involved, or try AI vs human A/B testing, and override AI evaluations when required.\n * Get AI-generated ticket and agent evaluation summaries.\n* **Tailored Agent Coaching**\n * Get AI-generated summaries of underperforming agents based on scorecard ratings and provide tailored coaching to each agent.\n* **Extensive reporting**\n * AI generated insights based on key topics, product areas, or customer service from your entire ticket base.\n * Real-time ticket evaluations and agent performance summaries for management.\n\n**👋 Ask: How you can help**\n\n* Support us on [here](https://www.linkedin.com/company/intryc/) on socials!\n* Connect us to COOs or Customer Support/Experience/Operational leaders in your network at [alex@intryc.com](mailto:alex@intryc.com).\n* Give us product feedback as a company leader who cares about their customers’ experience and supports the team’s performance. Book a 15-minute demo [here](https://www.calendly.com/alexmarantel).\n\n**💥 The Deal**\n\nInbound from the YC network will get a 50% discount. Email [alex@intryc.com](mailto:alex@intryc.com) to redeem the deal!", "url": "https://www.ycombinator.com/launches/LQ7-intryc-use-ai-to-automate-quality-assurance-for-customer-support", "votes": 45, "created_at": "2024-07-22T22:12:54.059Z" } ] }, { "id": 29835, "name": "Voker", "slug": "voker", "former_names": [ "Invoke AI", "Invoke Labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/efc5cb21ff2d8c0c7bf12fe360a1eb51bd8d4d0d.png", "website": "https://voker.ai", "all_locations": "Los Angeles, CA, USA", "long_description": "Voker is the Agent Analytics Platform for monitoring and improving your AI agents. Companies like Dutch.com use our SDK to build better agents.\r\n\r\nAlex and Tyler met at a high-growth E-Commerce startup where Tyler was running Technology & Data. Together, they built AI products that bootstrapped the company profitably to $100MM in Revenue.", "one_liner": "The Agent Analytics Platform", "team_size": 6, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1722887304, "tags": [ "Developer Tools", "Generative AI", "Analytics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/voker", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/voker.json", "year_founded": 2024, "city": "Los Angeles", "country": "US", "linkedin_url": "https://www.linkedin.com/company/voker-ai/", "x_url": "https://x.com/Voker_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/efc5cb21ff2d8c0c7bf12fe360a1eb51bd8d4d0d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 1924275, "full_name": "Tyler Postle", "title": "Founder", "founder_bio": "Co-Founder of Voker - the Agent Analytics Platform. In previous roles, I've built data products that drive growth. I was an operator of a $100MM DTC ecomm company and ran revenue growth data science for a $10B public SaaS company. I'm passionate about building high performing teams and continuously learning.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tyler-postle/", "x_url": "https://x.com/PostleTyler", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e217d3e9d0a405db211b65884adc5de96bf129ef.jpg" }, { "user_id": 1965948, "full_name": "Alex Rudolph", "title": "Founder", "founder_bio": "Co-Founder of Voker, providing Analytics for AI Agents", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-r-87470a198/", "x_url": "https://www.x.com/alexrudolphdev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/72e49962a242e6da60a883f92f26b871c96bf339.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83545, "title": "⭐ Voker - The Agent Analytics Platform", "tagline": "Voker is analytics for the agentic era, so you can build the best agents possible.", "body": "### TL;DR: Voker is analytics for your conversational agent product, so you can build the best agents possible.  Our SDK transforms AI agent interactions into structured analytics dashboards that anyone on your team can use. Agent-first products like Lightfield use Voker to monitor and optimize their agents.\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/7ff55d8b-ee06-4147-97c4-1236c50e0c5c)\n\n## The Team 👬\n\n\\\n[Tyler](https://www.linkedin.com/in/tyler-postle/) and [Alex](https://www.linkedin.com/in/alex-r-87470a198/) have been building Data and AI products and consulting for 9-figure businesses together since 2021. Tyler studied Physics at the College of Creative Studies @ UCSB, operated a $100M DTC e-commerce company, and was Director of Data at Appfolio (NASDAQ:APPF). Alex built AI infrastructure at multi-billion dollar companies and has a Masters in Computer Science.\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/7d84f9c1-3d35-4e71-b359-162168ae0cae)\n\n_Founders left to right: Tyler Postle (CEO), Alex Rudolph (CTO)_\n\n## 🧨 The Problem: You have agents in production but you can’t keep track of quality and usage.\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/6f2ad306-cb84-4b1d-9b7a-a8ae6ae9f054)\n\nIf you are building an agentic product with usage growing rapidly...\n\n* Scanning traces doesn't tell you if agents are helpful, accurate, or hitting walls. You only find out when customers complain or attrition skyrockets.\n* Every stakeholder needs data. Every request pulls engineers away from building. Nobody can self-serve insights.\n* Product and business teams need to quantify the impact of their AI investments. You have usage stats, but your team is struggling to connect agent performance to conversion, retention, or revenue.\n\n## 🎉 The Solution: Agent Analytics\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/8bbbfd52-25aa-43db-aab0-d75ac050a9a3)\n\nVoker transforms user <> agent interactions into structured analytics that anyone on your team can use.\n\n* PMs, analysts, and business teams get digestible insights they need without tickets, bottlenecks, or delays.\n* Track what AI agents are saying, identify knowledge gaps, detect abnormalities, and measure improvement over time.\n* Connect agent metrics to outcomes that matter by correlating conversational data with user data you’re already collecting.\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/b9b51bc2-ecc3-46ba-8820-ec3e81d62db2)\n\n**You shouldn’t have to wait for users to complain** to learn that a recent prompt change is breaking your hotel booking agent, or that the AI finance advisor you built is calling the wrong tool to look up realtime stock prices.\n\n![uploaded image](/media/?type=post&id=83545&key=user_uploads/1924275/6a8cd7f8-6e16-4b63-a9a1-ab025f0b0f6e)\n\n### Try for Free!\n\nInstall the [Voker SDK](https://app.voker.ai/docs) on our [free tier](https://voker.ai/#pricing) (up to 2,000 events/mo), and start building better agents today: ", "url": "https://www.ycombinator.com/launches/LjV-voker-the-agent-analytics-platform", "votes": 352, "created_at": "2024-08-28T16:43:35.019Z" } ] }, { "id": 29963, "name": "Capitol AI", "slug": "capitol-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/d21edd589862cd64f905545df119c53426538c8d.png", "website": "https://www.capitol.ai/", "all_locations": "Washington, DC, USA", "long_description": "Capitol AI is building a sovereign operating system for intelligence, designed for regulated, high-stakes institutions such as professional services firms, financial services, and government agencies. These organizations are overwhelmed by data and experimenting with generic AI tools that lack auditability, repeatability, and secure deployment. As a result, critical decisions are increasingly shaped by systems they do not fully control.\r\n\r\nCapitol runs entirely inside enterprise infrastructure and transforms proprietary data into structured, decision-grade artifacts such as due diligence reports, regulatory documentation, and executive intelligence. The platform is model-agnostic, fully auditable, and operates with no data egress, giving institutions durable control over their data, workflows, and standards.", "one_liner": "Capitol: the sovereign operating system for intelligence.", "team_size": 11, "industry": "B2B", "subindustry": "B2B -> Productivity", "launched_at": 1724724761, "tags": [ "AI-Enhanced Learning", "Workflow Automation", "Analytics", "Media", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2024", "status": "Active", "industries": [ "B2B", "Productivity" ], "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": [ { "question": "How did you decide to apply to Y Combinator? What was your experience applying, going through the batch, and fundraising at demo day?", "answer": "Brian Chesky encouraged us to apply. He hired Shaun at Airbnb. We wish we had done it earlier, but in some ways, the timing of this couldn’t be better. Brian believes the position we are in is very similar to Airbnb's right before they joined YC. And even similar dynamics to when Justin Kan made the last-minute referral for Airbnb’s founders (Brian, Joe, and Nate) to join YC. Going through the batch has been an incredible experience. Garry, Ooshma, and Aaron are phenomenal partners to work with and boil down opportunities and challenges to overcome to their essence. We’ve made huge strides in the batch regarding product velocity and customer acquisition. We’ve signed a $1.3m customer term sheet with one of the most influential media brands during YC! " }, { "question": "What's the history of your company from getting started until the present day? What were the big inflection points?", "answer": "Tom and I were collaborating on Covid-19 logistics applications leveraging AI models for HHS and the US DoD and the interfaces that prime USG integrators like IBM, SAP, and Deloitte produced were unusable. We saw an opportunity to develop integration and design standards for creating intelligent content leveraging models, and Capitol AI was born. We started the company with a contract from the 2nd largest health insurer in the US to automate data storytelling for their self-insured employer business line. We approached this problem with a mix of classical and bayesian statistical analysis and automating insight generation leveraging DBT. After GPT 3.5 was released we saw an opportunity to center our product stack around LLMs. We made a pivot away from healthcare and so that we could collect user data and feedback to move the product forward as quickly as possible. We now have built a product that is in high demand we just closed a $1.3m enterprise contract, with more to come. " }, { "question": "What is your long-term vision? If you truly succeed, what will be different about the world?", "answer": "In the future, all content and data publishers will have an AI research layer. Capitol will be the category-defining product that unlocks this transformation, creating a more useful and personalized internet." } ], "url": "https://www.ycombinator.com/companies/capitol-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/capitol-ai.json", "year_founded": 2021, "city": "Washington", "country": "US", "linkedin_url": "https://www.linkedin.com/company/capitolai/", "x_url": "https://x.com/capitolai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/d21edd589862cd64f905545df119c53426538c8d.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/465a03d7bd6b7776b9cae31229834db61e7d8ffe.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/1614cd0180f33e702e1313ecfc979563ffa836d8.png" ], "primary_partner": { "name": "Garry Tan", "url": "https://www.ycombinator.com/people/garry-tan" }, "founders": [ { "user_id": 23932, "full_name": "Shaun Modi", "title": "Founder/CEO", "founder_bio": "Shaun Modi is the founder and CEO of Capitol AI, an infinitely smart research assistant that instantly generates high-quality content from your documents. One of the founding designers of Airbnb, Shaun has been named one of Business Insider’s Top 75 Designers in Technology. Shaun has designed software products for technology giants, the government, and its agencies, including Google, the White House, DoD, NASA, CDC, and Motorola. At Airbnb, Shaun worked side by side with CEO Brian Chesky. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaunmodi/", "x_url": "https://twitter.com/shaunmodi", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ae194cbc0574b7170365c07d2b00ca313f7747a.jpg" }, { "user_id": 2079920, "full_name": "thomas hallaran", "title": "Founder/CTO", "founder_bio": "Software engineer and technical manager with a product mindset. Two decades of experience, including IC and Director positions in academia, venture backed startups, and the US Federal Government.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tomhallaran/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/2c1845b565cbe70e5f79c64541e056727aa150fc.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83810, "title": "Capitol AI - Create powerful content from data", "tagline": "Infinitely smart research assistant + document editor that generates content from your data.", "body": "Hey! We're Shaun and Tom from [Capitol AI](https://www.capitol.ai), and we’re thrilled to announce the launch of Capitol 2.0.\n\n# **TL;DR**\n\nAfter we got into YC, we asked ourselves: “What would Microsoft Word look like if it were built in the age of AI?” Our answer: A product that seamlessly combines deep research, generative images + text, and AI-assisted editing.\n\n[**This is Capitol 2.0**](https://www.capitol.ai)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcBHZ-cSYPZzPy48Nm-rz78AXUraAmaYG7sk-AXyR5-_p4cYGaj0-5uztAEO_pXY0r56gOz_hbUB-4-rhfcnbiBW5hV-31m9crYfEFGFfPmP-Zlcm7xFLJAdQgA0njg42wh1M8cPNv84VoBlZ4LmGBRoiN3?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n**The Business Problem**\n\nContent creation for business users is a slow, disjointed process involving multiple tools like search, proprietary databases, spreadsheets, slides, PDFs, and word processors. This complexity limits businesses with data-driven content creation workflows from scaling their content production and selling more products.\n\n# **Our Solution**\n\nCapitol simplifies content creation by integrating research and editing into one seamless experience—automating tasks to supercharge productivity.\n\nCapitol AI empowers enterprise customers with an API/SDK that automates the research and content creation process. It gives them the tools to personalize and scale their product offerings with less headcount.\n\n[**Watch the video**](https://www.youtube.com/watch?v=SFymrPfE-nk)\n\n# **B2B Customers**\n\n**Enterprise** \\\n[Politico](https://www.politico.com), the global authority on the intersection of politics, policy, and power has exclusively partnered with Capitol to empower all [Politico Pro](https://www.politicopro.com/) users with AI content creation for policy and regulatory analysis.\n\n**Startups & SMB**\\\nFor startups and small businesses with repeatable data-driven processes like Cloud GTM provider [Invisory](https://invisory.co/) and the innovative AI-powered grant platform [AI Grants](https://www.aigrants.app/), Capitol is automating the creation of **revenue-generating** business documents with our API-accessible artifact generation pipeline.\n\n![uploaded image](/media/?type=post&id=83810&key=user_uploads/23932/0950a826-5715-468c-b4f8-f00190aa1a77)\n\n# **Why Now?**\n\nIn a time when publishers are increasingly being courted by AI model builders for licensing deals, Capitol AI is arming the rebels—helping publishers compete for attention and grow their customer base by automating content generation from their high-value data. Capitol will be the category-defining product to unlock this transformation.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeIy5Y14hTVoYbNBzaWtye7QpqmqdiBdbKm2y2gR9eXkUoA3T5QxSunxXgkx5_xbhjBb1pvLJM8ob_XM73c0CHtCHUldMDuoFzZjctfWKOoyzJForUKh3CcS2kI8o1S3JG9TyVrGZsCgyDPF_1KpgZjniI?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n# \n\n# **Tech**\n\nCapitol includes a proprietary model orchestration, eval framework, chain of thought reasoning, and RAG pipelines that work together to enable our customers to generate and iterate on content in our product or via API.\n\n# **How Capitol Works** \n\nRewrite, reformat, & transform your content\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfnE4np5a5RdEIJQCWpT_4uN5J7iIdkrQ5lgeGgyDcZp0it1eAwRI7XKVti4Kzbm_bqn_JXf39BlJhRwEvxy7vbpHSaxWiCX1Oz8KpmZzmay4tz7DXc8U_Rj5RXioSH1JxZaFSFUG-eAMK_jt0qmrLjBVkx?key=lcBvgZFvISlTTsrwNwpBug)\n\n\nType ‘/’ anywhere to generate new content in-line\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXexmXK1RLuHucEMVk-ervnI0_dyyjJCU5JvPdpOPnnBl0gi0IYBBrsNZqz5A-5gqP42_ablQrRdWE9eqlLQMxYQRIrKoTG6ew8P464tXf_Ucs9WUfYHa-kBj-RItpCXa_w7Y2BdLpyt61eVKLVfBovnl3A?key=lcBvgZFvISlTTsrwNwpBug)\n\n\nGenerate new content with a single click \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeeLUmH9cppVSN5FGD9L1TfC8X5rDCgTyhx6hunL-s1wZLSq5kPzLWvvMkPCHrupc2z3efQfrO4wFzCq4Gqq1cJ9heMp1v9XXPeChbvN2bwMfZW2vLJT8E3weKkPwtov5b1nNUQ0A21qLfTTGIrOrUUvxoE?key=lcBvgZFvISlTTsrwNwpBug)\n\n### **🙏🏽 Our asks**\n\n# **1\\. Try Capitol**\n\nHead to [www.capitol.ai](http://www.capitol.ai) and try Capitol today. \\\nGet 3 months free with the special YC discount code **FOUNDERMODE**\n\n# **2\\. Integrate Capitol Into Your Product!**\n\nCapitol’s embedded content generation will transform your application’s user experience with real-time RAG and document creation from your data. By leveraging Capitol’s API/SDK, you can drive more engagement with your product and have more time with your users. Common use cases include:\n\n* Give your users the ability to create bespoke reports and insights, pulling forward hard-to-find data\n* Turn enterprise document search into a content generation flow\n* Transforming your knowledge base or help center into a more helpful experience for your customers\n* Let your users create social media content directly on your site\n\nContact us at [founders@capitol.ai](mailto:founders@capitol.ai)\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcQrF-ciwjn96Unv9Js-UbJ4o1bJLuLzP_2Ihg1yGe45RIxjluJG0mzQ2j1tweHYGwRX8UOeOBC1HGmbmqnbi_KPK-38xKhxlpp6qeBisC54g56Tj3BArNJKgZbG8VnRRkK9loy__0DHmRR_D_Gf56pMPoD?key=F5l7R5NSBH7WxKd4nIiTpg)\n\n# **Founders**\n\n* [Shaun Modi](https://www.linkedin.com/in/shaunmodi/), CEO. One of the first product designers hired at Airbnb. Worked side by side with CEO Brian Chesky crafting the user experience of Airbnb. Fmr Google, Fmr Nasa, named one of Business Insider's Top 75 Designers in Technology. BFA from RISD.\n* [Tom Hallaran](https://www.linkedin.com/in/tomhallaran/), CTO. Fmr Director US AI Center of Excellence, Fmr VP of engineering at acquired adtech startup Selectable Media, Initial technical lead and architect of the largest political payment app in US. Undergrad from Columbia.\n\n[X](https://x.com/usecapitol), [Linkedin](https://www.linkedin.com/company/capitolai/), [Instagram](https://www.instagram.com/capitol.ai/)", "url": "https://www.ycombinator.com/launches/Lnm-capitol-ai-create-powerful-content-from-data", "votes": 68, "created_at": "2024-09-06T04:52:46.055Z" } ] }, { "id": 30080, "name": "Dexter", "slug": "dexter", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc1d327c6dd1df139ea6177767194e0a1289d32b.png", "website": "https://www.getdexter.co/", "all_locations": "Berlin, Berlin, Germany", "long_description": "Dexter helps procurement teams understand exactly where money is being spent and where it can be saved. Dexter's AI agents mine supplier invoices and contracts for insights, surfacing consolidation opportunities, contract leakage, and off-contract spend. ", "one_liner": "Spend Intelligence for Complex Enterprises", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1727913374, "tags": [ "SaaS", "B2B", "Analytics", "Procurement", "Automation" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2024", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dexter", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2024/dexter.json", "year_founded": 2024, "city": "Berlin", "country": "DE", "linkedin_url": "https://www.linkedin.com/company/getdexter", "x_url": "https://x.com/get_dexter", "fb_url": null, "cb_url": null, "github_url": "https://github.com/getdexter", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/fc1d327c6dd1df139ea6177767194e0a1289d32b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1724832, "full_name": "Bella Wu", "title": "Founder/CEO", "founder_bio": "Bella led the HubSpot automation product team, where she launched many workflow automation products in Marketing, Sales and Service Hubs. She was the Head of Product and Growth at Dance, where she scaled the member base to 10k+ and built the tools for ops. She graduated from UChicago with a BA in Economics. ", "is_active": true, "linkedin_url": "https://linkedin.com/in/bellacwu", "x_url": "https://x.com/bellacwu", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5be99e3ec6c509a4011585fe38d34aa1cc46ff99.jpg" }, { "user_id": 1938577, "full_name": "Vincent Garrigues", "title": "Founder/CTO", "founder_bio": "Vincent has 15+ years of experience leading engineering teams.\n\nHe joined SoundCloud as the 2nd iOS engineer and worked his way to director of engineering, overseeing the media streaming, player, and core listener teams (iOS, Android, Web, Backend, C++).\nAs principal engineer at Dance, he worked on everything, from customer facing apps to internal web and mobile apps for the operations team.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/garriguv/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf5d31b7974792e65ff772235f87a5725caa1ec7.jpg" }, { "user_id": 1945545, "full_name": "Caterina Kiehntopf", "title": "Founder/COO", "founder_bio": "Caterina has 10+ years of experience working in business development and operations. She was the second EMEA employee at Uber JUMP, where she launched Berlin operations and defined how markets in Europe operated. Most recently she was the Head of Operations at Dance, an ebike subscription provider, where she built the operations org from the ground up, scaling the company to +10k monthly subscribers with operations in 5 markets.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/caterina-kiehntopf/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92655407196bae5131be703b730c84e2e19d177d.jpg" } ], "jobs": [ { "id": 117454, "title": "Founders' Associate (full-time)", "url": "https://www.ycombinator.com/companies/dexter/jobs/R0wwdeh-founders-associate-full-time", "location": "Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "€55K - €75K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [] }, { "id": 30220, "name": "Verbiflow", "slug": "verbiflow", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61dac6c9c5fd565ee458bdaddc5acb67c824ccd3.png", "website": "https://verbiflow.com", "all_locations": "San Francisco, CA, USA", "long_description": "We help startups reach prospective customers through email, LinkedIn, and cold calls, while keeping your team aligned on every conversation and response.", "one_liner": "Outbound Sequencing Infrastructure for Startups", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1740147387, "tags": [ "SaaS", "Analytics", "Sales", "Sales Enablement", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/verbiflow", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/verbiflow.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/verbiflow/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/61dac6c9c5fd565ee458bdaddc5acb67c824ccd3.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7c4910266fafcc9e3d5a213d97b4e692cd039e0a.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/183e193081f5d9799db03310e8572094bb873326.png" ], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 2368054, "full_name": "Kashyab Ambarani", "title": "Founder", "founder_bio": "Co-founder of Verbiflow", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/kashyab-ambarani/", "x_url": "https://x.com/kashyabja", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb44144cc628aaeefe741ee463192c7dd2ac9bb2.jpg" }, { "user_id": 2087146, "full_name": "Rishi Mahadevan", "title": "Founder", "founder_bio": "Co-founder Verbiflow", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rishi-mahadevan-625844109/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/43f5f920115b063b424f305991a2e7d051a0a268.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87898, "title": "Verbiflow - The Swiss Army Knife For Your Sales Team", "tagline": "The all-in-one platform for sales teams to capture, manage, and automate their entire process. ", "body": "Hey everyone! We're Kashyab and Rishi, co-founders of Verbiflow 😁\n\n# tl;dr\n\nVerbiflow is the all-in-one platform for sales teams to capture, manage, and automate their entire process. Capture leads with intelligent prospecting that identifies high-potential prospects based on real-time events and smart scheduling & routing that instantly assigns those leads to the best-suited sales rep. Manage your pipeline with complete flexibility, defining and tracking custom KPIs across all your sales interactions. Automate reminders and workflows to keep deals moving forward, all within a single, unified platform.\n\n**Ask:** warm intros to sales leaders 😇 (CRO, VP of Sales, & Director of Sales)\n\n\n\n# The Problem 👎\n\nSales teams are grappling with inefficiencies that plague every step of the sales process, from chasing down leads to sealing the deal. For sales reps, the clock is their enemy: they spend just 35% of their time actually selling, leaving about 6.5 hours a day tangled up in manual chores like data entry, prospect hunting, call logging, and scheduling follow-ups. This time sink costs companies roughly $68,000 per rep each year in lost productivity—like paying for a chef who spends most of their shift washing dishes instead of cooking. It’s not just money down the drain; it’s missed chances, too. Leads are 9x more likely to turn into customers if contacted within 5 minutes, but reps buried under admin work can’t keep up, letting golden opportunities slip away.\n\nAccount Executives (AEs) are under pressure to close complex deals, but they’re stuck piecing together past interactions from scattered emails, linkedin messages, notes, and tools to get full context on a deal. This chaos makes it nearly impossible to remember key discussions or spot issues threatening the deal like price objections or competitor mentions early enough to act. AEs lack the real-time insights to tackle blockers as such head-on. Meanwhile, they’re bogged down tracking multiple deals across clunky, disconnected systems, while needing to manually update them too. To top it off, deals often land with the wrong AE—like asking a barber to fix your car; they’re skilled with scissors, not engines, and your car’s not going anywhere fast. Win rates tank, and growth goals slip out of reach.\n\n**The outcome?** A frustrated sales team that’s overworked, stretched thin, and underdelivering on the company’s revenue goals.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfsJ9u8AMu5T7GayrI8W-Tj0Tcjadt4A_-xcLxSh-k5kba2Es3uSw9_DWUEHGX4U8X7shcpXwSdLexdlKMBRZl9IYAZLtts1nNR52_7WCMkBvsAT2uVP8vSz3uW34dz6QA6wxTwnw?key=9M7pNCNH6ZN22VTOIZDfTMsS)\n\n# Our Solution 🤩\n\n![uploaded image](/media/?type=post&id=87898&key=user_uploads/2368054/5e2c41a3-b5c3-4a66-9342-21d027cba0b0)\n\n**Time Wasted on Manual Tasks** \\\nVerbiflow automates lead identification, data enrichment, scheduling, and pulls in all your sales interactions. This eliminates the repetitive manual work that eats up 6.5 hours of a rep’s day, letting them focus purely on selling.\n\n**Missed Opportunities and Poor Deal Assignment**\\\nVerbiflow ensures leads are contacted instantly with automated follow-ups—hitting the 5-minute window when conversions are 9x more likely—while smart routing matches those deals to the best-suited AE based on expertise and performance history. This keeps opportunities alive and optimally assigned without manual effort or guesswork.\n\n![uploaded image](/media/?type=post&id=87898&key=user_uploads/2368054/e5ba9f9e-6e63-423c-b61a-3414151bf03a)\n\n**Lack of Centralized Context** \\\nA unified pipeline consolidates all deal-related emails, messages, calls, & notes, into one view. AEs get a full picture instantly, without digging through scattered sources.\n\n**Sales Blockers**\\\nAI-powered KPIs flag specific hurdles—like pricing objections, competitor mentions, or price consciousness—giving AEs precise insights to resolve issues quickly.\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeog_b3ymaSnvHZeJ97Ybp1ql3WqyZwPQBkRwiZyOl5IajGnwuEgU3HTSxbQIH64diOOKnwFsiCQGa5-39n0lKEfs-GEdFzu8tKR-ycfu_tJTVEqnm1J-mxcqIn5Pywph6_ZS-WqQ?key=9M7pNCNH6ZN22VTOIZDfTMsS)\n\n# The Team 🚀\n\n![uploaded image](/media/?type=post&id=87898&key=user_uploads/2368054/2fb432c3-988f-4297-b4aa-984792d8837d)\n\nWe’ve been spending 10+ hours every day with each other since 2024 & have shared a love for building, movies, & music since we met.\n\nKashyab has seen sales teams struggle with disorganization and inefficiencies across the board—from billion-dollar giants to seed-stage startups. Rishi has witnessed the fallout: sales teams buckling under high turnover and missed revenue goals, often due to fragmented data and poor handoffs. Together, we bring 7 years of experience building integrations and shaping B2B SaaS products, blending technical expertise with real-world sales insights. Our hands-on understanding of these problems, paired with our ability to ship fast, makes us the perfect team to fix what’s broken in sales.\n\n# Ask 🙌\n\nWe’re pouring our all into Verbiflow and could use your help:\n\n* Warm intros to sales leaders (CRO, VP of Sales, & Director of Sales)\n* Learn more [here](https://verbiflow.com/) & [book a demo if you’re interested!](https://app.verbiflow.com/calendar)", "url": "https://www.ycombinator.com/launches/Mri-verbiflow-the-swiss-army-knife-for-your-sales-team", "votes": 44, "created_at": "2025-02-21T16:58:54.965Z" } ] }, { "id": 30228, "name": "Weave", "slug": "weave-3", "former_names": [ "WorkWeave" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/983cb16d6906fc1a691557bf84b21313870ce3d0.png", "website": "https://weaveos.com", "all_locations": "San Francisco, CA, USA", "long_description": "Weave builds AI to understand engineering work from prompt to production. We show how much faster AI is making your team, how that impacts quality, and what it's costing. \r\n\r\nWeave then takes that data to route all of your tasks to the most cost efficient model without compromising speed or quality.\r\n\r\nWeave is used by over 500+ orgs from startups to public companies like Robinhood, Posthog and Telnyx.", "one_liner": "AI to understand and then route engineering work", "team_size": 16, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1738683202, "tags": [ "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/weave-3", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/weave-3.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/102726930", "x_url": "https://x.com/workweave", "fb_url": null, "cb_url": null, "github_url": "https://github.com/workweave", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/983cb16d6906fc1a691557bf84b21313870ce3d0.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/02a20ecab39b3e32fb41948c9ba4854a6d44ba75.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1938955, "full_name": "Adam Cohen", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ Weave. AI to understand engineering work.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/adam-b-cohen/", "x_url": "https://x.com/adambcohen93", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b81036de60e71ff2ae36907ba5ee27d10ed07a20.jpg" }, { "user_id": 2077133, "full_name": "Andrew Churchill", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO at Weave. Before that: employee #1 at Causal, where I built the spreadsheet interface, access control system, and AI onboarding engine (among many other things). Before that: CS + math at MIT.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/andrew-d-churchill/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9ea3e1503392c3eb74209b4c96ef19b8ee6b6c33.jpg" } ], "jobs": [ { "id": 74597, "title": "Founding AI Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/SqFnIFE-founding-ai-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.10% - 0.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [ "Go", "Python" ] }, { "id": 82153, "title": "Founding Account Executive", "url": "https://www.ycombinator.com/companies/weave-3/jobs/A9QCCoj-founding-account-executive", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$200K - $350K", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 82270, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/7fPxYmA-founding-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $200K", "equity_range": "0.10% - 0.20%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 82747, "title": "Forward Deployed Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/d74yywq-forward-deployed-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Support", "role_type": null, "salary_range": "$150K - $200K", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "Will sponsor", "skills": [] }, { "id": 83580, "title": "Founding ML Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/ZPyeXzM-founding-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$150K - $200K", "equity_range": "0.20% - 0.80%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 88613, "title": "Founding GTM Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/Cvp3fnW-founding-gtm-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $140K", "equity_range": "0.01% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 89808, "title": "Founding Design Engineer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/bgZcAi9-founding-design-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$140K - $200K", "equity_range": "0.05% - 0.20%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 94021, "title": "Founding Marketer", "url": "https://www.ycombinator.com/companies/weave-3/jobs/M9rKQPd-founding-marketer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$150K - $225K", "equity_range": "0.01% - 0.10%", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112643, "title": "Founding Developer Relations", "url": "https://www.ycombinator.com/companies/weave-3/jobs/EMkLVni-founding-developer-relations", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$150K - $225K", "equity_range": "0.05% - 0.15%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112644, "title": "Founding Business Development Representative", "url": "https://www.ycombinator.com/companies/weave-3/jobs/kIw3GEF-founding-business-development-representative", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$100K - $120K", "equity_range": "0.01% - 0.10%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "A YC Startup That Wants to Kill Tokenmaxxing Just Raised $13.5 Million - Business Insider", "url": "https://www.businessinsider.com/weave-funding-tokenmaxxing-startup-y-combinator-ai-coding-spend-developers-2026-7", "date": "Jul 28, 2026" } ], "launches": [ { "id": 87406, "title": "Weave: AI to quantify engineering work", "tagline": "Engineering metrics for the AI era", "body": "tl;dr: Weave uses AI to measure software engineering work in the AI era.\n\nIt shows how much work is being done, how much is done by AI and where you can utilize AI tools to improve your engineering process.\n\n### **The Problem**\n\nHistorically, it’s been impossible to measure engineering so leaders are left flying blind. Engineering teams rely on gut feel or shoddy metrics to try to get a handle on what’s going on and where to improve.\n\nThat's why we built Weave.\n\n### The Solution\n\nhttps://youtu.be/GkZv9-YZTKI\n\nWeave uses AI to measure engineering work. We run LLMs and our own models on every PR and review, analyzing both output and quality. We integrate with all AI coding tools (Claude, Cursor, etc.) and have PR level code attribution to determine what was written by AI, what wasn’t, and what should’ve been.\n\nWe summarize this data and insights in dashboards. Teams like Reducto, Superpower and Laurel use Weave to ship 16% more, just 2 months after using Weave.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/966b7f89-b6a1-4aa7-8fbc-4b6cd7bf4fb1)\n\n\n### AI Usage\n\nWe show you who your top AI performers are (so they can share best practices), how the team stacks up against its competitors and the real financial return of your AI investments.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/57dfeddd-0c9f-49c1-afea-0454bad3f0ab)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/56c25bbf-a333-4bea-9938-93e639687d12)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/c2672d3e-b073-45d1-95d8-41578f1a829d)\n\n### AI Insights\n\nWe keep you up to date with the best practices and tools used by the most forward-thinking AI teams.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/d438efd0-4a9b-41a2-a4ae-1d506e800595)\n\n### Measuring Code Output\n\nThis isn't a line of code calculator, this is an actual estimate of our key metric, a Weave Hour: \"How long would it take an experienced engineer to make this change?\"\n\nWe can also tell you how much time each engineer is spending on code review and how helpful their reviews are:\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/581a3928-2eb3-4e98-a0d4-e8ae64c6cd15)\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/ede5f44c-ca77-4d4c-ab23-12d7c3c6df7f)\n\n### Individual\n\nSee output across individuals to identify top performers, see how new hires are ramping and if anyone is blocked.\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/1938955/65664616-047f-4ce7-829c-b40839f34d09)\n\n### **Our Story**\n\n![uploaded image](/media/?type=post&id=87406&key=user_uploads/2077133/d1883e57-85cd-4616-a456-3370a1a0b664)\n\nAdam’s background is in operations and sales. He led organizations of 100+ people and created an internal tool to measure performance and help individuals identify their weak spots. This is common practice in revenue teams and he wants to bring it to engineering.\n\nAndrew was employee #1 at Causal. He saw firsthand how subjective engineering management is and how hard it is to scale a high-performing engineering team.\n\nWe met at Causal, where Adam was hired to run the sales and customer success function. We got to talking about the big difference between how our two departments worked, and the rest is history.\n\n**Early Use Cases**\n\n* Reducto, Superpower, and Posthog have used Weave to see increases in output correlated with AI usage (16% on average)\n* A manager noticed that code review quality has the highest correlation to output. He reset code review standards and team output went up by 15%\n* Smaller engineering teams (\\~5 engineers) are using the platform daily in stand-ups\n\n**Our Ask**\n\n* Are you running an engineering team of any size? You can connect your repo to Weave and get started in \\~30 seconds [**here**](https://workweave.dev/).\n* Do you know any engineering leaders at mid-market or enterprise companies who might find this valuable? We'd love an intro if you do.\n* Follow us on [**LinkedIn**](https://www.linkedin.com/company/weave-dev) and X!", "url": "https://www.ycombinator.com/launches/Mjm-weave-ai-to-quantify-engineering-work", "votes": 35, "created_at": "2025-02-04T17:25:21.748Z" } ] }, { "id": 30267, "name": "Lopus", "slug": "lopus", "former_names": [ "Levo UI", "Lopus AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5463151bfe24c55a37e65a12d8f89b62dcef5c86.png", "website": "https://lopus.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Pointing an AI at all your data is a recipe for disaster - it will confidently lie, hallucinate, and drive your business into the ground.\r\n\r\nWhat if you could trust your AI the way you trust a calculator?\r\n\r\nThat's Lopus.\r\n\r\nWe build a self-healing semantic layer that captures your business logic.\r\nIncluding every metric, every definition, every edge case.\r\nDefined once, and trusted everywhere.\r\n\r\nNo SQL. No dashboards. No waiting on the data team.", "one_liner": "Headless Data Team", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1740443352, "tags": [ "B2B", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/lopus", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/lopus.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/lopus-ai/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5463151bfe24c55a37e65a12d8f89b62dcef5c86.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Harj Taggar", "url": "https://www.ycombinator.com/people/harj-taggar" }, "founders": [ { "user_id": 1017454, "full_name": "Aamish Ahmad Beg", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Lopus AI.\n\nCS @ Dartmouth. Full-stack/infra/ML dev building in public. Extensive experience with LLM-centered ML research. Previously worked on the DIGIHEALS project at DARPA. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aamish-ahmad-beg/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b03eac4f83c10b629a20432280984e0a77955fad.jpg" }, { "user_id": 2379881, "full_name": "Danylo Borodchuk", "title": "Founder", "founder_bio": "Building Lopus - Analytics for the rest of us. \n\nEx. 2+ years of award-winning R&D for startups @ DALI Lab, Dartmouth, deep experience in AR/VR development, product & system design. Led multiple ivy league technical teams at research labs, tech consulting groups, & quant teams. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/danylo-borodchuk/", "x_url": "https://x.com/danylo_dev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f568004af6b579a2ed192d75c757d2f5837621b3.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 30282, "name": "Riviera", "slug": "riviera", "former_names": [ "With Riviera" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/790dbe46b89475fab7c527c1403f9dcbd5c92c33.png", "website": "https://www.withriviera.com", "all_locations": "San Francisco, CA, USA", "long_description": "Riviera builds AI Employees for Hotels. Our first agent is a hotel phone receptionist that lets hotels spend less time answering phone calls and more time helping customers. Our system handles front-desk inquiries, in-room dining orders, and reservations. It answers every question instantly and in any language, 24/7.\r\n\r\nWe are solving a problem that older phone systems and IVRs can't: customers hate not being able to talk to someone immediately, but most travel businesses can’t dedicate additional staff to manage phone lines. Voice AI has always seemed out of reach because the technology infrastructure in the travel industry is often fragmented, with reservation systems, loyalty programs, and in-house operations software that weren’t designed with voice AI in mind. Riviera addresses this by integrating seamlessly with existing software providers and using human-sounding voice models that are highly trained on data specific to each business type and department.\r\n\r\nHotels spend hundreds of billions annually on staffing and risk losing potential revenue when phone lines are overwhelmed or callers hang up. By enabling them to handle unlimited calls, day or night, Riviera unlocks additional revenue and eases labor challenges.\r\n", "one_liner": "AI Employees for Hotels", "team_size": 2, "industry": "B2B", "subindustry": "B2B", "launched_at": 1737322900, "tags": [ "SaaS", "B2B", "Travel", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "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/riviera", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/riviera.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/withriviera", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/790dbe46b89475fab7c527c1403f9dcbd5c92c33.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 683820, "full_name": "Shaun Lane", "title": "Founder/CEO", "founder_bio": "Co-Founder and CEO at Riviera | UC Berkeley CS | Amazon Software Engineering Intern, previously ran a Travel Consulting/Content Creation Business", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shaun--lane/", "x_url": "https://x.com/Shaun_Lane_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/88eaac7b2eb9e2ce07cc1a87f3f9cd7e602ee24e.jpg" }, { "user_id": 1069552, "full_name": "Daniel Tyshler", "title": "Founder/COO", "founder_bio": "Co-Founder and COO at Riviera | Stanford CS | SpaceX Software Engineering Intern, software and product intern at startups in aerospace and health-tech", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/daniel-tyshler-b742b217a/", "x_url": "https://x.com/danieltyshler", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8c80e8bafa64f9b843491e4748bb6d13f59ac94e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 87705, "title": "Riviera: Multilingual AI Voice Agents For Hotels", "tagline": "Riviera lets hotels reduce staffing costs and improve the guest experience", "body": "**TL;DR**\\\nHotel guests hate not being able to talk to someone immediately, but hotels can’t afford more staff just to answer the phones. Riviera solves this with AI voice agents that provide 24/7 phone agents that speak any major language: answering guest questions, ordering room service, making reservations, and redirecting calls as needed.\n\n---\n\n### **The Problem**\n\nHotels spend over 100 billion dollars per year on staffing. Front-desk staff spend valuable time on phones instead of handling high-touch guest services. Meanwhile, guests frustrated by long waits or old IVR menus often hang up, leading to lost revenue and poor reviews.\n\n### **Our Solution**\n\nRiviera’s AI voice agents manage unlimited calls instantly. We integrate with property management systems, reservations, and ticketing software so guests can:\n\n* **Get quick answers** **about hotel services and policies**\n* **Order in-room dining and other amenities**\n* **Check availability and make reservations**\n\nRiviera has a human-sounding voice model trained on each hotel’s unique data to understand it better than any staff member ever could.\\\n\\\n\\\n\\*\\*Want to see a live demo or talk pilots?\\*\\*\\\n\\\nYou can schedule a demo by visiting [**withriviera.com**](http://withriviera.com). Feel free to email me directly at [**shaun@withriviera.com**](mailto:shaun@withriviera.com).\n\n![uploaded image](/media/?type=post&id=87705&key=user_uploads/683820/c11e9839-f110-4546-902f-907840b8d6f4)\n\n![uploaded image](/media/?type=post&id=87705&key=user_uploads/683820/7e4c67a5-facf-41b1-9595-1605bcffdf14)\n\n", "url": "https://www.ycombinator.com/launches/Mob-riviera-multilingual-ai-voice-agents-for-hotels", "votes": 29, "created_at": "2025-02-14T23:57:29.263Z" } ] }, { "id": 30325, "name": "Roark", "slug": "roark", "former_names": [ "Roark AI" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f767546eea69824b40dd475b83ae01dafa05b12.png", "website": "https://roark.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Roark helps teams test, monitor, and improve their voice agents.\r\n\r\nVoice AI is exploding, but reliability is still the #1 challenge. Teams spend hours manually testing agents and still miss failures. In the last 6 months, Roark has processed over 10M minutes of calls, powering monitoring and simulation for teams across the Voice AI ecosystem (including YC companies).\r\n\r\nWe close that gap by combining:\r\n\r\n 📊 Monitoring & Evaluation - 40+ built-in metrics (latency, instruction-follow, sentiment, etc.), custom dashboards, alerts, and the ability to define your own. Up to 15 speakers with automatic speaker identification.\r\n 🎭 Simulations & Personas - end-to-end phone/WebSocket simulations for inbound and outbound agents, with configurable personas (accents, languages, speech & behavior profiles). Define tests as conversations with a graph-based approach, so you can easily branch into edge cases and variants.\r\n 🔁 Full lifecycle loop - failed calls automatically become repeatable tests, so every failure makes your agent stronger.\r\n\r\nRoark is the missing QA layer for Voice AI - helping teams ship agents they can trust.", "one_liner": "Test, monitor, and improve your voice agents", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1737797905, "tags": [ "Analytics", "AI", "Conversational AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/roark", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/roark.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/106073945", "x_url": "https://x.com/roarkanalytics", "fb_url": null, "cb_url": null, "github_url": "https://github.com/roarkhq", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f767546eea69824b40dd475b83ae01dafa05b12.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/7d8432d508c98941a2f2c053c1a579106909c1a3.png" ], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 91038, "full_name": "James Zammit", "title": "Founder/CEO", "founder_bio": "James Zammit (CEO) is an infrastructure and AI engineer with 10+ years of experience. Previously a Senior Engineer at AngelList, he built core portfolio infrastructure as the company grew from $10B to $124B in assets under management, and led the development of Relay, an AI-powered portfolio manager processing thousands of financial documents each month. He also co-founded a startup showcased at Google I/O 2016 in partnership with Firebase, and received scholarships from Meta and Apple.\n", "is_active": true, "linkedin_url": "https://linkedin.com/in/zammitjames", "x_url": "https://x.com/zammitjames", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c1041ab46bdf1f351b525d1b02e5c949bb10518.jpg" }, { "user_id": 320609, "full_name": "Daniel Gauci", "title": "Founder/CTO", "founder_bio": "Daniel Gauci (CTO) is a software engineer with 10+ years of experience. Previously a Senior Engineer at Akiflow (YC S20), he helped scale the company to $1.5M ARR and over 10,000 customers. Daniel spent seven years at Casumo, leading the development of a mobile app used by millions of players, significantly contributing to the company’s growth to over $50M ARR.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gaucidaniel/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/045f1f81ef3751897dcbae72acf3a1197e3b9d3d.jpg" } ], "jobs": [], "news": [ { "title": " Roark: Test, monitor, and improve your voice agents | Product Hunt", "url": "https://www.producthunt.com/products/roark-yc-w25?launch=roark", "date": "Aug 26, 2025" } ], "launches": [ { "id": 87658, "title": "Roark - The Observability & Testing Platform for Voice AI", "tagline": "Replay real production calls against your latest agent changes, catch failures, and track sentiment.", "body": "## **TL;DR**\n\nRoark is an observability and testing platform for Voice AI that shows you whether your agent meets its goals, tracks how customers feel, and lets you replay real calls on your latest changes.\n\nIf you’re building voice AI agents and want a faster, smarter way to test and improve them, we’d love to connect! Email [james@roark.ai](mailto:james@roark.ai) or [book a time here](https://calendly.com/james-roark/book-a-demo).\n\n![uploaded image](/media/?type=post&id=87658&key=user_uploads/91038/0caf0c5a-2421-4fcf-8b6a-2867de8d581f)\n\n_(Replay real calls without picking up the phone.)_\n\n## **The Problem: Testing Voice AI Is Painfully Manual**\n\nOnce a voice agent is live, teams have no easy way to test updates. Every time you tweak a prompt or logic, you have to manually call the bot, hoping to catch issues before customers do.\n\n* Does the agent follow the right flow? You don’t know unless you re-run conversations by hand.\n* Did a change break something? You won’t find out until users complain.\n* How do customers actually experience the bot? Traditional testing tools only analyze text transcripts, missing tone, hesitation, or frustration.\n\nVoice AI teams, especially in healthcare, legal, and customer support need real-world validation for every change they ship. But existing testing tools rely on scripted test cases that don’t reflect real interactions, leading to blind spots and regressions.\n\n## **The Solution**\n\nRoark lets you replay real production calls against your newest AI logic, so you can test changes before they go live. No more manually dialing your bot or relying on outdated scripted tests - get real-world validation instantly.\n\nHow It Works:\n\n1. Capture real-world calls: Automatically ingest production conversations from your existing voice AI setup (integrates seamlessly with VAPI, Retell, or custom APIs).\n2. Replay calls on your updated agent: Our system re-runs the same user inputs, sentiment, and tone against your latest agent, cloning the original caller’s voice for more realistic testing.\n3. Evaluate goal completion: Define key objectives (e.g., “Did the agent confirm insurance?”) and automatically flag failures or missteps.\n4. Monitor sentiment & vocal cues: Detect frustration, long pauses, sighs, and hesitation - signals that text-based evaluations miss.\n5. Track performance with reports & dashboards: Visualize conversation flows, track drop-offs, and measure key metrics with Mixpanel-style analytics.\n6. Get real-time alerts: Set up custom monitoring for compliance violations, negative sentiment spikes, or repeated failures.\n\nRoark gives AI teams the same confidence in testing, iteration, and monitoring that software engineers had for years with modern dev tools.\n\nCheck out our demo below!\n\n\n\n## **Why We Built Roark**\n\nWe first ran into this problem while building a voice agent for a dental clinic. Patients kept reporting issues, getting stuck in loops, failing to confirm insurance, or receiving irrelevant responses. But the only way to test fixes was to call the bot ourselves or read through hundreds of transcripts, hoping to spot patterns. It was frustrating, slow, and unreliable.\n\nAfter talking to other teams working on Voice AI, we realized this problem was universal - everyone was struggling to validate their AI’s performance efficiently. That’s when we decided to build Roark.\n\n## **Team**\n\nWe’re engineers who have built and scaled complex systems at high-growth companies:\n\nJames Zammit (CEO) – Infra and AI engineer with 10+ years of experience. Previously at AngelList, where he worked on core infrastructure as the company scaled from $10B to $124B in assets under management and led the development of Relay, an AI-powered portfolio manager. Co-founded three startups, one of which partnered with Firebase and was showcased at Google I/O 2016.\n\nDaniel Gauci (CTO) – Software engineer with 10+ years of experience. Previously at Akiflow (YC S20) as part of the mobile development team, helping the company reach $1.5M ARR and 10,000+ customers. Spent 7 years at Casumo, leading the development of the mobile app used by millions of players helping the company reach $50M+ ARR.\n\n## **Try it out!**\n\nIf your team is tired of manually testing voice AI updates and wants a faster, more reliable way to validate changes, email us at [founders@roark.ai](mailto:founders@roark.ai) or [book a demo here](https://calendly.com/james-roark/book-a-demo) - we’d love for you to try out Roark.\n\n![uploaded image](/media/?type=post&id=87658&key=user_uploads/91038/b44daa71-7f56-4c40-9c89-8dd4edf07bd3)\n\n", "url": "https://www.ycombinator.com/launches/Mnq-roark-the-observability-testing-platform-for-voice-ai", "votes": 39, "created_at": "2025-02-13T19:09:59.210Z" } ] }, { "id": 30405, "name": "nao Labs", "slug": "nao-labs", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9572a4af92fd7a09438369c8555334bcd54574f8.png", "website": "https://getnao.io/", "all_locations": "Paris, Île-de-France, France", "long_description": "nao is an open source framework to build and deploy analytics agent.\r\nCreate the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.", "one_liner": "Open Source Analytics Agent", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1744958361, "tags": [ "Analytics", "Open Source", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "France", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nao-labs", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/nao-labs.json", "year_founded": 2024, "city": "Paris", "country": "FR", "linkedin_url": "https://www.linkedin.com/company/getnao/", "x_url": "", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/nao-labs", "github_url": "https://github.com/getnao/nao", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/9572a4af92fd7a09438369c8555334bcd54574f8.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/fbfc74ae407f3b4726f49fbc2244d8045cff2369.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/e4627ead50fb4eaa13aa29c10ce4867efa4b3cf8.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1535815, "full_name": "Claire Gouze", "title": "Founder/CEO", "founder_bio": "⚡️ Building the context layer for analytics agents\n📊 Previously head of data at sunday - $100M Series A\n👩🏻‍💻 Business school graduate self-taught in data sciences - started as a Data Scientist at BCG Gamma", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/claire-gouze/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/035018b7fe651fa99b670856312545d49e91c45c.jpg" }, { "user_id": 72690, "full_name": "Christophe Blefari", "title": "Founder/CTO", "founder_bio": "Built data tools, platforms and teams for more than 10 companies (scale-ups and French gov). I write about data stuff on blef.fr and LinkedIn (20k+ followers).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/christopheblefari/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/826572c49acb1821ee6d6145c5c793e0537856ca.jpg" } ], "jobs": [ { "id": 107297, "title": "GTM intern", "url": "https://www.ycombinator.com/companies/nao-labs/jobs/Cgv7KB0-gtm-intern", "location": "Paris, IDF, FR / Paris, Île-de-France, FR", "type": "Internship", "role": "Sales", "role_type": null, "salary_range": "€1.4K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] } ], "news": [], "launches": [ { "id": 90397, "title": "nao Labs - Cursor for data", "tagline": "AI code editor to write code on your data — and trust the output.", "body": "**🥷 Manifesto**\n\nData teams have been left out of the vibe coding party. We’re building nao so they can **data vibe** too.\n\n**🏎 TL;DR**\n\nnao is an **AI code editor to write code on data**: a local editor, connected to your data warehouse, with an AI copilot that has context of both your data schema and codebase.\\\nIt’s built specifically for data workflows - helping teams write faster, better code, while being ensured of the data quality.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/f9051a44-1d1e-41a0-b995-e6bcb94a4c31)\n\n**🧑‍💻 Who is it for?**\n\n* **Data teams** who run analytics with SQL and build dbt or Python pipelines\n* **Software developers** who manage SQL databases\n\n**🤖 What can you do with nao?**\n\nYou can prompt nao **AI agent** to:\n\n* **Create SQL queries & dbt models** from your data warehouse tables\n* Add **documentation & testing** to your data\n* **Refactor** your codebase through your **lineage**\n* Perform **data quality checks**, **data diff** tests\n* Run **conversational analytics**\n\n**nao AI tab auto-suggests code for your data** — only with tables, columns and data that actually exist in your warehouse.\n\n![uploaded image](/media/?type=post&id=90397&key=user_uploads/1535815/08d1f6f0-b247-4887-b179-c0f5f2cd8405)\n\n**🔆 Why we built it**\n\nChristophe and Claire have each spent 10 years in data. We’ve seen that data teams can’t keep the business pace because making changes in data requires too many tools and tests.\\\nCurrent AI code editors don’t interact natively with data warehouses — they autocomplete SQL blindly, not knowing your data schema. We built nao so that data teams can ship at business pace, with an AI code editor that has all their context.\n\n**👀 Watch it live**\n\n[https://www.youtube.com/watch?v=QmG6X-5ftZU](https://www.youtube.com/watch?v=QmG6X-5ftZU&ab_channel=ClaireGouze)\n\n**👋🏻 Our ask**\n\nWant to write code on your data faster?\n\n* **Download** and test nao here: [**https://getnao.io/**](https://getnao.io/**)\n* **Contact us** for team plans: [claire@getnao.io](mailto:claire@getnao.io)", "url": "https://www.ycombinator.com/launches/NW1-nao-labs-cursor-for-data", "votes": 63, "created_at": "2025-05-14T17:27:09.437Z" } ] }, { "id": 30406, "name": "BitBoard", "slug": "bitboard", "former_names": [ "Realm" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/74d921a27f5f4254a29834c03d8bfeb6cd8b878c.png", "website": "https://bitboard.work", "all_locations": "San Francisco, CA, USA", "long_description": "Data analysis with AI agents is great until you realize you want to set up a recurring report or collaborate with your team. We built an agent-first workbook so you don’t have to roll your own dashboards or fumble around in a rigid BI tool.\r\n\r\nConnect your agent of choice to BitBoard and it can generate connected charts, SQL, code, and commentary in a notebook-style UI you can share with your team.", "one_liner": "Let your agent build dashboards and reporting.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1746992332, "tags": [ "B2B", "Analytics", "Data Visualization", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/bitboard", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/bitboard.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bitboardhq", "x_url": "https://x.com/bitboardhq", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/74d921a27f5f4254a29834c03d8bfeb6cd8b878c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/861196e852bda17e4029bce7d4bf94a5dc91dd2e.png" ], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2002154, "full_name": "Connor Jones", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO @ BitBoard. \n\nEx-Forward, BlackRock, Columbia Engineering.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/connorandrewjones/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5fbe6de4ee5d3c3e64dc17cf6cca43d8958dc06b.jpg" }, { "user_id": 1576262, "full_name": "Ambar Choudhury", "title": "Founder/CTO", "founder_bio": "Co-Founder & CTO @ BitBoard, an AI-first analytics workbook that lets you load and transform data with SQL, python, and your favorite coding agent. Handle complex modeling and analysis 10x faster without giving up control when you need it.\n\nI was the first engineer at Forward, a national AI-enabled primary healthcare system. Before that, I worked on government-facing technology at Palantir. \n\nI like creating products that empower people, and technology that scales. \n", "is_active": true, "linkedin_url": "https://linkedin.com/in/ambar-choudhury-92681038", "x_url": "https://x.com/ambarc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c8dde4a359f0f46f3fc9faca9f72385cc56cce9d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 100824, "title": "BitBoard: Analytics workspace for agents", "tagline": "Build hosted dashboards and analysis with your favorite AI chat or coding agent.", "body": "**TL;DR**\n\nUsing your go-to AI chat or coding agent for data analysis is great until you want to set up a recurring report or collaborate with your team.\n\nWe built an analytics layer for your favorite AI tools to generate hosted reports and live dashboards.\n\nGet started in minutes, for free at [app.bitboard.work](http://app.bitboard.work)\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/615b65c7-eb00-480f-ba27-cceabe248a50)\n\n**Problem**\n\nThe most capable AI tools still treat data analysis as ephemeral, making durable reporting and collaboration a nightmare.\n\nLegacy BI tools weren’t intended for AI users, so they bolt on clumsy chatbots and can’t offer meaningful control to the agents you’re actually using.\n\n**How BitBoard works**\n\nConnect your preferred AI chat or coding agent to BitBoard to build living dashboards and analysis you can share with your team. BitBoard works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n\nHosted workbooks let your agent pull data, build visualizations, and add commentary by writing SQL, code, and markdown that’s stored and executed within the workbook.\n\nWork in BitBoard is traceable and repeatable. Logic and outputs are persisted and named so context isn't lost in chat threads or terminals.\n\nAnalysis stays fast and cheap as the workbook grows. Small queries stay local, results are cached until the underlying data changes, and your warehouse only returns the rows each query needs.\n\n**Connecting your data**\n\nWant to get started with minimal setup? Just push data from your agent to piggyback off of your agent’s existing connections and we’ll host it.\n\nFor ongoing access to live data, securely connect to your apps, databases, and data warehouse from a single point in BitBoard.\n\n**Onboard in minutes, for free**\n\n1. Connect your AI chat or coding agent to BitBoard via MCP. Works with any MCP client, including Claude, Claude Code, ChatGPT, and Cursor.\n2. Push data from your agent. We'll host it, no setup required.\n3. When you want live data, configure connections to your apps, databases, and warehouse from a single point in BitBoard.\n\nTry pointing your agent at BitBoard for your next KPI review, product analytics investigation, or post-mortem.\n\n**Ask**\n\n* Try it out at [app.bitboard.work](http://app.bitboard.work)\n* Email us with questions and feedback at [founders@bitboard.work](mailto:founders@bitboard.work)\n* [Book a call ](https://bitboard.work/contact)if you need help with a specific use case.\n\n![uploaded image](/media/?type=post&id=100824&key=user_uploads/2002154/6191878d-f4f7-4f05-988f-d2dfb103788f)\n\n", "url": "https://www.ycombinator.com/launches/QEC-bitboard-analytics-workspace-for-agents", "votes": 8, "created_at": "2026-05-06T21:45:16.447Z" } ] }, { "id": 30497, "name": "Human Behavior", "slug": "human-behavior", "former_names": [ "Dough" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0529597ad1f6e8b51f9be309f911ce7bb268c67.png", "website": "https://www.humanbehavior.co/", "all_locations": "San Francisco, CA, USA", "long_description": "Human Behavior uses vision models to watch all user web sessions so you know exactly how users use every part of your product. ", "one_liner": "Understand your users beyond the numbers", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1744779271, "tags": [ "Developer Tools", "Analytics", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/human-behavior", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/human-behavior.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f0529597ad1f6e8b51f9be309f911ce7bb268c67.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 2397615, "full_name": "Amogh Chaturvedi", "title": "Founder/CEO", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amoghchaturvedi1/", "x_url": "https://x.com/OfficialAmogh", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/102da10bf88944aa2373c5e7fc4ec73da24b1717.jpg" } ], "jobs": [], "news": [ { "title": "These 20- and 22-year-olds raised $5M from YC, General Catalyst to study online behavior using vision AI | TechCrunch", "url": "https://techcrunch.com/2025/09/03/these-20-and-22-year-olds-raised-5m-from-yc-general-catalyst-to-study-online-behavior-using-vision-ai/", "date": "Sep 03, 2025" } ], "launches": [ { "id": 90280, "title": "Human Behavior: We reveal why users stay, leave, or pay", "tagline": "We have an AI that watches real user sessions to give you the \"why\" behind analytics numbers.", "body": "![uploaded image](/media/?type=post&id=90280&key=user_uploads/2397615/2f936c17-95eb-44f0-9823-8f500e75a907)\n\n🎥 What if there’s an AI that watches every user so it has full contextual understanding of your webapp. \n\n**tl;dr:** We’re just that! By analyzing all session replays, we extract behavior patterns that drive retention & revenue – without requiring manual event tracking. We sell to product teams at high growth startups like Delve, Conduit, etc.\n\nhttps://www.youtube.com/watch?v=4Dvt3COkC-U\n\n**Can’t watch all your session replay videos?** We’d love to talk to you: [founders@humanbehavior.co](mailto:founders@humanbehavior.co) or https://cal.com/humanbehavior-founders/30min \n\n**❌ The Problem**\n\nTwo options to understand how your product is used:\n\n1. Product analytics (like Mixpanel or Amplitude): Great for aggregating data but miss user context.\n2. Session replays capture absolutely everything, but there's no good way to aggregate them to learn anything useful.\n\n\"How many users abandon my product after a long LLM generation time? How long do enterprise vs free users spend on feature X?\" These questions become difficult to answer with traditional methods.\n\n**💡Our Solution**\n\nWe built Human Behavior to give you the best of both worlds using vision AI that actually watches your users. No more choosing between high-level analytics or drowning in session videos!\n\nWithout AI, thousands of session videos can be overwhelming. Now you'll never have to set manual feature tracking again – retroactively explore feature usage patterns from all your past users without wasting engineering time and effort.\\\nhttps://www.youtube.com/watch?v=D12guaaJeJ8\n\n**👬 The Team**\n\nWe're Amogh (Stanford CS), Skyler (Berkeley CS), and Chirag (UChicago CS) and we've spent countless hours watching session replays ourselves. We worked on VLM research at Stanford NLP Group and UChicago Database Group, commercializing it to give the best customer behavior insights.\n\n**🤝Our ask:** \n\n* Check us out at https://www.humanbehavior.co/!\n* Stay in touch! If you know any companies with too many replays, we'll watch it for them! We'd also love to understand how you'd use the product. Email us at [founders@humanbehavior.co](mailto:founders@humanbehavior.co) \n* If you like what you see, we'd love to chat! Book a call with us here: https://cal.com/humanbehavior-founders/30min\n\n \n\n_(P.S. Thanks to [gatekeep.ai](http://gatekeep.ai) for letting us use their data for a demo!)_", "url": "https://www.ycombinator.com/launches/NU8-human-behavior-we-reveal-why-users-stay-leave-or-pay", "votes": 85, "created_at": "2025-05-11T16:15:46.610Z" } ] }, { "id": 30507, "name": "ParaQuery", "slug": "paraquery", "former_names": [ "Hypermorphic" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/023b1fec88d11ac0cc00d33e137188a1088f80f1.png", "website": "https://paraquery.com", "all_locations": "New York City, NY, USA; Remote", "long_description": "ParaQuery is a fully-managed GPU-accelerated Spark solution providing double the performance at half the cost compared to solutions like Databricks and BigQuery. It is fully Spark-compatible, cloud agnostic, and has seamless integrations everywhere, all without vendor lock-in. ParaQuery makes it trivial to run large SQL and Spark workloads efficiently and serverlessly, without any data migrations.", "one_liner": "Managed GPU-accelerated Spark + SQL at 2x speed and half the cost", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1745603504, "tags": [ "Developer Tools", "Analytics", "Big Data", "Enterprise Software", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Spring 2025", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/paraquery", "api": "https://devasheeshg.github.io/yc-api/batches/spring-2025/paraquery.json", "year_founded": 2023, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/paraquery", "x_url": "http://twitter.com/paraquery_", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/paraquery", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/023b1fec88d11ac0cc00d33e137188a1088f80f1.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Diana Hu", "url": "https://www.ycombinator.com/people/diana-hu" }, "founders": [ { "user_id": 1091672, "full_name": "Win Wang", "title": "Founder/CEO", "founder_bio": "Focused on efficiency, effectiveness, and (user) experience.\nPreviously a tech lead @ Twitter, building massively-parallel distributed build systems.\nNow building a cheaper, faster big data platform by using the right hardware for job. Fully-managed, GPU-accelerated, petabyte-scale at double the speed and half the cost.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/winwang", "x_url": "https://twitter.com/Winium", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3a5065a212f3a4dd12f6130ba83f67162fb66507.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 90162, "title": "ParaQuery - 5x your data warehouse's efficiency", "tagline": "ParaQuery is the GPU-accelerated Spark + SQL engine for your big data needs.", "body": "![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/94e086c6-918d-4975-94ca-5aece8bff85a)\n\nHey, I'm Win, founder of [ParaQuery](http://www.paraquery.com).\n\nWe're building a bigger query engine with up to 5x cost efficiency compared to BigQuery by using cost-efficient cloud GPUs.\n\n**Ask:** Do you know someone optimizing their data warehouse? Email [win@paraquery.com](mailto:win@paraquery.com) or sign up [here](https://paraquery.com/waitlist)!\n\n**4x'ing** BigQuery efficiency with ParaQuery:  \n\n# **The Problem**\n\nData is the new oil and you're feeding your products with a bunch of it. But to do so, you need to build, maintain, and optimize your data infra. That's either a huge timesink, or you're bleeding cash to ignore it, or someone is breathing down your neck about this month's cloud bill. Why can't we just ship features?\n\n![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/419acb3d-1195-4842-a80e-df02ac0d332f)\n\nWhether it's those 20-minute+ Presto queries, or your exploding BigQuery bill (which happens to be tracked in real time), your data infra is letting you down.\n\n# **Our Solution**\n\nParaQuery runs on highly-parallel, throughput-optimized cloud-available hardware, perfect for data processing workloads: **GPUs**!\n\nOur system abstracts out the infra required to serverlessly accelerate your logic. With the extreme efficiency of GPUs, it's half the cost and double the performance of competing solutions like Databricks and BigQuery, without any platform commitments.\n\nFor SQL-based data warehouses like BigQuery, you can use ParaQuery with minimal changes to your queries. And since it's fully Spark-compatible, there's no vendor lock-in. It integrates with literally anything which has a Spark connector, on any major cloud. We can even deploy on GPU clouds.\n\nParaQuery makes data processing as simple as specifying:\n\n1. Inputs\n2. Output\n3. Logic\n4. Run!\n\n![uploaded image](/media/?type=post&id=90162&key=user_uploads/1091672/a6cded39-2da7-432b-9129-014a593caaae)\n\n# **Why?**\n\nI've been looking into GPUs and parallel programming for over 12 years – starting out with crypto. I left that field pretty fast, but I never stopped thinking about efficient compute and GPU acceleration. Even more so when, years later, I had to wait for my laptop to finish 18-hour physics simulations. And during my professional career, I've also had to wait on my fair share of 20-minute+ analytical queries.\n\nIn fact, I hate waiting. ParaQuery is productizing an arbitrage of hardware efficiency, and I'm not waiting any longer to do so.\n\n# **Ask**\n\n1\\. If you know anyone who is running any big data processing scenarios (including MLOps), I'd love to learn more about their use case and see if we're a fit! \n\n2\\. If you want to try it out, sign up for our waitlist at [www.paraquery.com](http://www.paraquery.com), or just email me ([win@paraquery.com](mailto:win@paraquery.com))", "url": "https://www.ycombinator.com/launches/NSE-paraquery-5x-your-data-warehouse-s-efficiency", "votes": 51, "created_at": "2025-05-07T02:14:51.329Z" } ] }, { "id": 30748, "name": "Pleom", "slug": "pleom", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b1e76d8c0743b28030c0f3c37f0d0bfa7f51272.png", "website": "https://pleom.com", "all_locations": "New York City, NY, USA", "long_description": "Automatic insights on all your company data. Speed up business workflows to visualizations with a 0 learning curve.", "one_liner": "Agentic Business Intelligence", "team_size": 0, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1755614874, "tags": [ "Generative AI", "Analytics", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/pleom", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/pleom.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/pleom", "x_url": "", "fb_url": null, "cb_url": null, "github_url": "https://github.com/Pleom", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3b1e76d8c0743b28030c0f3c37f0d0bfa7f51272.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 2354623, "full_name": "Royce Arockiasamy", "title": "Founder/CEO", "founder_bio": "Building Agentic Business Intelligence", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/roycea1/", "x_url": "https://x.com/roycearoc", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/64c3fba23c6331c3b4fc8a87fb983a0d87378e2a.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93152, "title": "Pleom ☂️ - Talk to your AI", "tagline": "Hardware AI devices for everyday consumers.", "body": "**TL;DR**\n\n> Today, Pleom is a website. Ask about anything by talking, showing, or sharing. Tomorrow, it will be integrated into our family of hardware devices.\n\n**What does Pleom do?**\n\nhttps://youtu.be/uH-W9BKGKT0\n\nAt Pleom, we are building AI hardware devices that everyday consumers can talk to for real-world tasks that understands your context. We’re going head-to-head with OpenAI, moving faster to market and capturing mindshare first.\n\n**The Problem**\n\nThe current form factor for how people interact with AI hasn’t changed in 5 years.\n\nTexting is also a slower mode of communication than speaking.\n\nMoreover, Artificial Intelligence lacks the context to properly respond to your questions. Products like ChatGPT fail to understand your complete digital context and have zero knowledge of the physical world context.\n\n**The Solution**\n\n![uploaded image](/media/?type=post&id=93152&key=user_uploads/2354623/b50422f7-89d9-4b71-bc77-1f86a0e664eb)\n\nA real-life “Jarvis” which seamlessly connects your phones, laptops, car, home appliances, and more to build context to help consumers _ask and do anything_.\n\nOur current live solution on [pleom.com](http://pleom.com) allows anyone to talk to, share their camera or screen and ask questions and receive answers instantly.\n\nBut hardware is our focus and we are transitioning from prototyping into production to launch our first version of pocket AI wearable device with a camera, microphone, and speaker that anyone can carry around and interact with faster than using any current form factor today.\n\n**Team**\n\nRoyce - previously co-founded Bits to Atoms (YC S24) hiring cracked engineers for deep-tech startups. Graduated from Georgia Tech with both a Bachelors and Masters in Machine Learning by the age of 18. Also, worked as a Data Scientist for two years and also contributed to multiple other startups.\n\n[royce@pleom.com](https://royce@pleom.com)\n\n![uploaded image](/media/?type=post&id=93152&key=user_uploads/2354623/f7582d53-5884-4d0b-89d8-529f93bbee86)\n\n", "url": "https://www.ycombinator.com/launches/OES-pleom-talk-to-your-ai", "votes": 20, "created_at": "2025-08-20T14:26:21.613Z" } ] }, { "id": 30807, "name": "Paloma", "slug": "paloma", "former_names": [ "Salesmith" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1218976659374be7dae288b56678777bbb6a1eb.png", "website": "https://getpaloma.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Paloma gives manufacturing companies an embedded team of engineers and ops experts who replace their manual operations with custom AI-native software.", "one_liner": "Digital transformation for real economy businesses", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1754546482, "tags": [ "SaaS", "Analytics", "Manufacturing", "Operations", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2025", "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/paloma", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2025/paloma.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/108207089/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f1218976659374be7dae288b56678777bbb6a1eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Gustaf Alstromer", "url": "https://www.ycombinator.com/people/gustaf-alstromer" }, "founders": [ { "user_id": 520906, "full_name": "Nazli Danis", "title": "Founder/CEO", "founder_bio": "CEO and co-founder @ Paloma | Previously GPM and first product hire @ Deel where I led Employee of Record (EOR), our highest revenue generating vertical, as we blitzscaled from $10K MRR to $XXM MRR.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nazlidanis/", "x_url": "https://x.com/nazlidanis", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7d271a3f5b1cafb751db1b728c33034d02c60d91.jpg" }, { "user_id": 2703464, "full_name": "Alex Avnit", "title": "Founder/CRO", "founder_bio": "CRO and co-founder @ Paloma | Previously Head of Deel’s EOR Business Unit - their fastest-growing and highest revenue-generating product | Quant & Data scientist by trade.\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/alex-avnit-222b3611a/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9384bffde5c89c504343f3270759669145f4083.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 93175, "title": "Paloma: AI-native CRM for billing, renewals, and expansions", "tagline": "Auto-pilot everything after the handshake", "body": "### **TL;DR**\n\nPaloma unifies contracts, service consumption, and customer relationship context so that revenue, success and sales teams can operate from the same ground truth. With everything centralized, you can stay ahead of upsell and churn signals while billing runs smoothly in the background.\n\nhttps://youtu.be/jav-7qS-S4U\n\n---\n\n### **The Problem**\n\nFragmented customer context and manual billing kill revenue potential:\n\n* Account managers and customer success don’t have full visibility on which clients to pay attention to for maximizing upsells and minimizing churn\n* Complex pricing or custom deals often require manual work to bill accurately, making them hard to support and creating a real barrier to selling\n\n### The Result\n\n* Revenue opportunities slip through the cracks because signals for upsell or renewals aren’t surfaced on time\n* Teams don’t have a clear view of what they can upsell or at what price, leading to missed opportunities\n* Sales is constrained to “billable” terms, creating friction and slowing execution\n\nThe result is a reactive, fragmented go-to-market motion where growth is capped by operational bottlenecks instead of driven by customer opportunity.\n\n---\n\n### **How Paloma Solves It**\n\nPaloma is the AI copilot and system of record for everything that happens after the handshake:\n\n* **Unified ground truth:** Parses contracts, communications, notes and service consumption into one shared customer context for revops, finance and customer success.\n* **Surfaces revenue opportunities:** Flags upsells, renewals, churn risks, and usage changes and prioritizes them by impact.\n* **Automates billing workflows:** Turns complex terms into billing-ready instructions that run behind the scenes.\n* **Works with your stack:** Seamlessly integrates with your CRM, billing software, and data sources to sync context and actions.\n* **Human-in-the-loop by design:** You stay in control. Paloma learns from your feedback and gradually automates more over time.\n\n### Demo: From Contract to Invoice in Seconds\n\n**1. Upload Contract & Add Notes**\\\nEasily import customer contracts and attach important context in seconds.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXenCXn3XWc-aJ86auvk1b4EbfYkrX83Tacb9LElt6_O29CrmLlKpIV3-g3t-A_ZoEwNMRTLizwutLePHZd6OQoxoJBYoBENxRAEhjZ5StRPdrED7L42JfBVZGDrxzT9GZLvY1NwDg?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**2. Parse & Review Contract Data**\\\nPaloma extracts terms, pricing, and key conditions from the contract.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcWyfWU9QpLWYr70cBoUZtfs1pqaC4uSNPLA-zF3eCa0zgAMZLXcOxQTZ2EZs-Gl2GMEaTMcyt7oDKcETvRgggs25ZpNHVSVuz0kxx3aHVqSeVKSJplYcr7lpgKw4Dxd0iAc23LpQ?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**3. Upload Usage Data**\\\nFeed in real consumption data to trigger accurate billing calculations.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXczxqONAnGu0BAaL8dL5EZ8zABzWHQyDBgMN8xgW4YBFvyu7vGKcgBTcBK9s9JNdLqq4ekGPJGVjCCO7KWRvTtxm9x9dR0n4QoPnD5qaQSj188gQ4fMT0A6QwRymziy0-VI-kXY?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n**4. Generate & Review Invoice**\\\nWatch the system apply contract rules and usage to produce the final invoice, automatically.\n\n![Effortless Billing and Invoicing 💻](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcCNxVydjEGKUle7c1KaAb4Pqzr9zZ-H7WrQGYXDH8re-Q1ggk8tOCqwZ6Y3jvxgOl-dEmspx3B7_hWdY-gsPiHSV_nfRj_8FnQ8oPXl8zBgoNTzu8KJ1XCYPFmEVdKOSMemx8nYw?key=BG5KxR_KYqp8AhZRK2bQPQ)\n\n### **The Team**\n\nWe met at Deel, where we were early employees. Naz (CEO) and Alex (CRO) spent 3 years building and scaling Deel’s largest revenue-generating product from zero to $500m ARR. Kai (CTO) led the development of Deel’s billing and payments infrastructure from the ground up. We’ve lived the pain of messy post-sales firsthand and we’re building Paloma to solve it.\n\n![uploaded image](/media/?type=post&id=93175&key=user_uploads/2703464/b02e3435-4880-4c5e-a9a6-1f9c9b46bb59)\n\n### **Our ask**\n\nIf your team spends too much time on messy workflows, manual billing processes or you feel like you’re leaving money on the table, let’s talk.\n\n* **Book a call**: [https://cal.com/team/paloma/intro-call-with-paloma-](https://cal.com/team/paloma/intro-call-with-paloma-founders)\n\n [founders](https://cal.com/team/paloma/intro-call-with-paloma-founders)\n* **Or email/call us at** : [founders@getpaloma.ai](mailto:founders@getpaloma.ai) / +1 (917) 971-7795\n\nThank you!", "url": "https://www.ycombinator.com/launches/OEp-paloma-ai-native-crm-for-billing-renewals-and-expansions", "votes": 118, "created_at": "2025-08-20T14:28:04.109Z" } ] }, { "id": 30844, "name": "Uplane", "slug": "uplane", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f996a4ae5a6f6c50880fc529dd16c13be2500bd.png", "website": "https://uplane.com", "all_locations": "San Francisco, CA, USA", "long_description": "Uplane replaces marketing agencies with AI. We generate hundreds of ads with matching landing pages and steer the ad spend across channels like Meta, Google, LinkedIn and others. By connecting to CRM and ERP data, Uplane learns what drives profits and continuously improves campaigns.\r\n\r\nCompanies waste billions on bad ads, mismatched landing pages, and poor budget allocation. Uplane fixes this by replacing a patchwork of agencies, spreadsheets, and siloed tools with one self-improving system. The result: Higher ROAS for enterprises and effortless, expert-level marketing for SMBs.", "one_liner": "Replace marketing agencies with AI", "team_size": 26, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1759250646, "tags": [ "SaaS", "B2B", "Analytics", "Advertising", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Marketing" ], "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/uplane", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/uplane.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/uplane-com", "x_url": "https://x.com/uplane_com", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/uplane", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6f996a4ae5a6f6c50880fc529dd16c13be2500bd.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f0d7831fd25ce874238df0079276b6ea6b651dda.png" ], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 2716487, "full_name": "Julius Körfgen", "title": "Founder/CEO", "founder_bio": "Managed 7-digit monthly ad spend as a Marketing Director of one of the fastest-growing D2C brands in Europe. Scaled a lead platform from 0 to >$10M monthly revenue in just 12 weeks.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julius-koerfgen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c23c3638c973e3e831769089ee1a530e0df0be2.jpg" }, { "user_id": 822694, "full_name": "Marvin Abdel-Massih", "title": "Founder/COO", "founder_bio": "Studied Computer Science, Data Science, and Business at Imperial, TUM and Harvard. Received 4 different academic scholarships. Declined McKinsey offer to become right hand of a unicorn founder.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marvinabdel-massih/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8dd3a0aef8edb6c177aee2a6a489196365ace23c.jpg" }, { "user_id": 346365, "full_name": "Lukas Vollmer", "title": "Founder/CTO", "founder_bio": "Has 15 years of fullstack experience, was Head of Engineering at two former YC companies and won Product of the Month at Product Hunt.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lukasvollmer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4c8f2712ca84d086b4785315bf932a42367dd301.jpg" } ], "jobs": [ { "id": 91103, "title": "AI Marketing Strategist - San Francisco", "url": "https://www.ycombinator.com/companies/uplane/jobs/aFjvQEb-ai-marketing-strategist-san-francisco", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$100K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 93708, "title": "AI Marketing Strategist Intern - San Francisco", "url": "https://www.ycombinator.com/companies/uplane/jobs/TEEElmy-ai-marketing-strategist-intern-san-francisco", "location": "San Francisco, CA, US", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "$4K / monthly", "equity_range": "", "experience": null, "visa": "US citizen/visa only", "skills": [] }, { "id": 94434, "title": "AI Marketing Strategist Intern - Berlin (German Speaking)", "url": "https://www.ycombinator.com/companies/uplane/jobs/Gb8bLOl-ai-marketing-strategist-intern-berlin-german-speaking", "location": "Berlin, Berlin, DE", "type": "Internship", "role": "Marketing", "role_type": null, "salary_range": "€2.41K EUR / monthly", "equity_range": "", "experience": null, "visa": "US citizenship/visa not required", "skills": [] }, { "id": 96251, "title": "AI Marketing Strategist - Berlin (German Speaking)", "url": "https://www.ycombinator.com/companies/uplane/jobs/lBJkLEw-ai-marketing-strategist-berlin-german-speaking", "location": "Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "€60K - €100K EUR", "equity_range": "", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "Marketing design" ] }, { "id": 113831, "title": "Growth Operations", "url": "https://www.ycombinator.com/companies/uplane/jobs/GjRkpRq-growth-operations", "location": "San Francisco, CA, US / Berlin, BE, DE / Berlin, Berlin, DE", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$80K - $130K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [ { "title": "Pitch Deck: Uplane Raised $4.5 Million to Replace Marketers With AI - Business Insider", "url": "https://www.businessinsider.com/pitch-deck-uplane-raised-funding-to-replace-marketing-agencies-ai-2026-4", "date": "Apr 15, 2026" } ], "launches": [ { "id": 94720, "title": "Uplane: Replace your marketing agency.", "tagline": "Uplane increases return on ad spend by 20-50% by automating digital marketing with AI.", "body": "### TL;DR\n\nUplane (YC F25) is building AI software to replace marketing agencies.\n\nTheir AI has already created thousands of ads and landing pages, delivering a 20-50% increase in return on ad spend for their customers.\n\nCompanies waste billions on bad campaigns because they don’t have the time to do the research, personalization, and A/B testing to do the job right.\n\nUplane builds an all-in-one marketing platform that uses AI to create, launch, and test ad campaigns across Meta, Google, Taboola, TikTok, and others. The software delivers new, creative ideas, and gives full flexibility to ensure every marketing message is on brand and compliant.\n\nIn marketing, speed and analytics are essential. Humans simply can’t catch up with the speed and precision of AI.\n\nBook a [demo](https://uplane.com/talk-to-us?utm_source=yc&utm_medium=social&utm_campaign=yc-launch) now.\\\n\\\nhttps://www.youtube.com/watch?v=rUhS6pz4-hs\n\n### Problem\n\nFor years, the promise of digital marketing has been data-driven revenue growth at scale. The reality for most marketers, however, is a losing battle fought with manual work.\n\nMarketing teams and their agencies are drowning in a sea of spreadsheets, unreliable data, and siloed ad platforms. They are buried in repetitive tasks: endlessly creating and testing ad variations, designing new landing pages, trying to make sense of the data, and manually shifting budgets across ads and channels. This makes it impossible to move at the speed and precision the market demands.\n\nThe result: billions of dollars are lost due to low-performing marketing campaigns. No human can do the manual work that is required to do the job right.\n\n### Solution\n\nUplane replaces manual work with AI automations.\n\n💡 **Phase 1) Insight & Creation:** Uplane analyzes the target audience, brand style, ads, competitors' ads, and even real-time market trends. It uses these insights to instantly generate thousands of ads and matching landing pages.\n\n🚀 **Phase 2) Launch & Management:** Select your favorite ads, and with a single click, campaigns go live across all channels. Uplane takes over, managing everything 24/7. It monitors performance and shifts budget to the ads and channels that deliver the highest return.\n\n📈 **Phase 3) Learning & Scaling:** Built-in dashboards give instant transparency. The insights from the data are not just useful for marketers but also for our AI. It continuously tracks ad performance, identifies best value propositions and designs, and gets smarter with every conversion. Thus, it creates better ads with every iteration.\n\n### Our Ask\n\nUplane is working hand-in-hand with ambitious companies that want to scale their marketing profitably, eliminate manual work, and make marketing that their customers love.\n\nWant more customers? Let’s talk.\n\n📅 Book a [demo](https://uplane.com/talk-to-us?utm_source=yc&utm_medium=social&utm_campaign=yc-launch)\n\n👉🏻 Follow us on [LinkedIn](https://www.linkedin.com/company/uplane-com) and [X](https://x.com/uplane_com)\n\n💬 Share this post with people in your network", "url": "https://www.ycombinator.com/launches/Odk-uplane-replace-your-marketing-agency", "votes": 19, "created_at": "2025-10-17T17:21:33.522Z" } ] }, { "id": 30863, "name": "The Context Company", "slug": "the-context-company", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/897cd2d31bc7dc869e170422ebc8e24a66f3e2bc.png", "website": "https://www.thecontextcompany.com", "all_locations": "San Francisco, CA, USA", "long_description": "We analyze every conversation between your customers and your AI agent to find what's losing you customers and money. Then we help ship the fix and prove it worked.\r\n\r\nNobody on the team can read every conversation once an agent is in production. TCC does, and turns them into patterns tied to the accounts they affect: where customers get stuck, what they wish the agent could do, and where it's spending more than it needs to.\r\n\r\nEngineers ask about a pattern from their IDE through our MCP, get the conversations and traces behind it down to the tool call or prompt that went wrong, ship the fix, and benchmark cost and quality before and after. Product sees what customers are actually trying to do with the agent and where it falls short, broken out by topic and account, which becomes the backlog for what to build next. Customer success sees which accounts the agent is struggling with before the customer says anything, and steps in with the full conversation on hand.\r\n\r\nAny agent framework, a few lines of code. If you're running an agent in production or about to launch, ping us.", "one_liner": "Find what's losing you customers and money in your AI agent and fix it", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1759953898, "tags": [ "Developer Tools", "B2B", "Analytics", "Monitoring", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/the-context-company", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/the-context-company.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/the-context-company/", "x_url": "https://x.com/thecontextco", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/897cd2d31bc7dc869e170422ebc8e24a66f3e2bc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/f79a5b20add310d8c52a8e37b33c10a81faf8f5e.png", "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/af950c1fa4e85da46b706668594f2e3898e07954.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2357695, "full_name": "Arman Kumaraswamy", "title": "Founder", "founder_bio": "Cofounder at The Context Company (Monitoring for AI agents)\n\nI've been in love with startups since I was in high school :)\n\nPrev studied CS+Math at UF, and engineered at Mintlify, Apten, RevisionDojo, and Solace Health", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/armankumaraswamy/", "x_url": "https://x.com/ksw_arman", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8401e71daab0e1115cff57cc14f4453c2bce6052.jpg" }, { "user_id": 2579624, "full_name": "Rohil Agarwal", "title": "Founder", "founder_bio": "What is up! Previously studied EECS + Business at UC Berkeley M.E.T. and worked on Gmail Intelligence at Google, where I built models powering intent detection for 26B+ daily emails.\n\nNow building The Context Company, where we are powering developers to ship AI agents they can trust. I'm excited about solving context engineering 🙃\n\nOh, and I take one selfie every day!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/rohil-ag/", "x_url": "https://x.com/rohil_ag", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4d30f11084359006ce25e5cf6c97ee26d09cb543.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94947, "title": "The Context Company - Catch Silent AI Failures Before They Break Production", "tagline": "Full observability for AI agents, from bad tool calls, loops, and hallucinations to latency and cost, in 10 lines of code.", "body": "What is up! We’re [Arman](https://www.linkedin.com/in/armankumaraswamy/) and [Rohil](https://www.linkedin.com/in/rohil-ag/) - cofounders of [The Context Company](https://thecontextcompany.com)\n\n**TL;DR**\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/129e5656-94c6-42e6-a2ba-6ac545b0ef94)\n\nSetup takes under 10 lines of code, and we now support Vercel AI SDK, LangChain, and LangGraph, with more frameworks coming fast.\n\n**Our Ask**\n\n* If you’re building with Vercel AI SDK, LangChain, or LangGraph, use The Context Company for observability.\n* Setup takes just a few lines - DM us on Bookface or Slack, or email [founders@thecontextcompany.com](https://mailto:founders@thecontextcompany.com), and we’ll personally onboard you in 15 minutes.\n* Not using those frameworks yet? Tell us what you’re building with, and we’ll add support fast.\n\n\n\n**The Problem**\n\nAI agents often fail quietly. Traditional observability tools only show latency or stack traces. They miss the silent layer of failures that happen inside reasoning steps or tool calls.\n\nMost teams end up waiting until users report issues, and by then, it’s already too late. As a developer, I know you’ve been there scrolling through endless logs, trying to piece together what an agent actually did and why it failed (because trust us, we have too 🙏🏽).\n\n**We’re rethinking observability from the ground up and making silent failures a first-class primitive in agent monitoring.**\n\n\\*\\*Our Solution:\\*\\*\\\nInstead of just visualizing traces, we analyze them and detect reasoning breakdowns across runs. In addition to traditional metrics like latency, cost, and token usage, The Context Company surfaces failures in a clean, developer-friendly dashboard.\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/861e36d0-5a8b-4555-a738-e2489729f99f)\n\nAnd we’ve gone beyond the cloud:\n\nYou can now run our developer package locally to debug traces on your machine, even when you’re offline or iterating fast.\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/b7722f3f-a018-4c46-806c-7ef4be35bd44)\n\n**Our Progress**\n\n* Framework support: Vercel AI SDK, LangChain, and LangGraph.\n* Instant setup: <10 lines of code - no refactoring or modifying your agent needed. This is what it looks like:\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/560baa96-5818-4d20-bf82-43f2d3775ca3)\n\n* Local debugging: Run observability locally on your laptop for real-time trace analysis.\n* Dashboards: Full visibility into agent runs, tool calls, latency, costs, and semantic failures.\n\n**The Team**\\\nArman and Rohil have been best friends since 6th grade (8+ years now!). \n\nArman optimized the public-facing AI agent at Mintlify, where he cut failure rates by 82%, and worked with enterprise design partners to build custom agents. Rohil worked on Gmail Intelligence at Google, reducing hallucinations in intent detection by 27% across 26B+ daily emails. \n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/70e7935c-7606-4e8f-a7af-4ebf44cf5514)\n\nhttps://www.thecontextcompany.com\n\nP.S. Even if you’re not using AI SDK, LangChain, or LangGraph, we’re adding support for other frameworks soon. Tell us what you need 😎\\\n\\\n\\\nDashboard:\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/e9425baf-3e5f-4098-b64f-497a74232f5a)\n\n![uploaded image](/media/?type=post&id=94947&key=user_uploads/2579624/ece01a4a-5089-46dd-a12a-eeef441f5cd3)\n\n", "url": "https://www.ycombinator.com/launches/OhP-the-context-company-catch-silent-ai-failures-before-they-break-production", "votes": 34, "created_at": "2025-10-27T21:36:21.070Z" } ] }, { "id": 30871, "name": "Bron", "slug": "bron", "former_names": [ "PlayVision AI", "PlayVision", "PlayVision AI", "PlayVision" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/322e036fa9ab0e06f47840b20ad078b02e03e79b.png", "website": "https://apps.apple.com/app/apple-store/id6761323087?pt=128695024&ct=anish&mt=", "all_locations": "San Francisco, CA, USA", "long_description": "Bron is the Tiktok for sports betting. Scroll through recommended bets across 150+ sportsbooks and prediction markets and place them automatically.\r\n\r\nDownload Bron on the App Store here: https://apps.apple.com/us/app/bron-ai-sports-analysis/id6761323087", "one_liner": "TikTok for Sports Betting", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1761579619, "tags": [ "Sports Tech", "Analytics", "AI", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Consumer" ], "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/bron", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/bron.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/bron-app", "x_url": "https://x.com/bron_app", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/322e036fa9ab0e06f47840b20ad078b02e03e79b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a11a5da9c10e799c1c50bd4ffddac8db9c705d06.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2540850, "full_name": "Anish Gupta", "title": "Founder/CEO", "founder_bio": "CEO @ Bron | Tiktok for Sports Betting", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/anishjaygupta/", "x_url": "https://x.com/_anishgupta_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3be8e923a89557fe2da3326fdff779330b3571e8.jpg" }, { "user_id": 2551433, "full_name": "Marc Zoghby", "title": "Founder/CTO", "founder_bio": "Co-founder @ Bron\n\nPreviously: EECS @ UC Berkeley and AI Researcher @ Mayo Clinic.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marc-zoghby/", "x_url": "https://x.com/marczog?s=21", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/edfe50d5df2087eed445bc2699ec7fd57c1c23eb.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94935, "title": "PlayVision - AI Moneyball for Sports", "tagline": "Automatically analyze your film and make AI your playbook for scouting, recruiting, and playing the game", "body": "Hello everyone! We’re [Anish](https://x.com/_anishgupta_) and [Marc](https://x.com/marczog), the Co-Founders of PlayVision!\\\n\\\n**TL;DR:** PlayVision lets basketball teams automatically analyze their practices and games to get advanced stats on their players, opponents, and college or high school recruits. We use AI and computer vision to get insights based on their tracking data.\n\nhttps://youtu.be/MZynlUcUdeU\n\n\\\n**The Problem**:\n\n❌ Coaches spend over **75%** of their week watching film and manually tagging different stats.\n\n❌ College Teams spend **$250K+** on services like HUDL, Synergy, HDI, and other different products just to watch film and scout players.\n\n❌ There are up to **25x** more coaches between teams across Division 1 basketball — most programs lack the man-power to watch the same amount of film and create a comprehensive game-plan.\n\n❌ College athletes are now able to get paid via their Name, Image, and Likeness (NIL). Teams are scrambling trying to figure out how much players are worth.\\\n\\\n**Our Solution**:\n\n![uploaded image](/media/?type=post&id=94935&key=user_uploads/2540850/425a0c3f-1d4d-4e7d-a46e-241f9655aa11)\n\nAn interactive platform that lets coaches upload their film and get the insights they want. We track every player, every movement, every decision made on the court. \n\nWith our database, we also feature:\n\n🏀 Our algorithms that rank every player in the country over the last **10** years.\n\n🏀 Custom indexes where teams leverage over **40** metrics to create their own stats to rank players.\n\n🏀 Automated scouting reports that give coaches **10x** the insights on their players and opponents in **10%** of the time.\\\n\\\n**Our Story:**\n\n![uploaded image](/media/?type=post&id=94935&key=user_uploads/2540850/4ec6f501-bfc9-4758-81e5-910ce716dcc0)\n\n\\\nI, Anish, was a massive sports fan growing up. I couldn’t play college athletics due to an eye surgery, so I joined Cal Athletics as a scout. I saw first-hand how tedious the manual film analysis was, having to stay late in the office with coaches trying to finish the games we set out to do.\n\nThe timing couldn't have been better. Marc, fresh from two years of AI and computer vision research at the Mayo Clinic, happened to be in my AI in SportsTech class at Berkeley. I pitched him my problem, and within minutes, we were deep in discussion about how AI and computer vision could crack it.\n\nLeveraging my connections in the college space, we started getting validation from coaches, expressing the same pain points I had. We’ve partnered with teams from the SEC, BIG 10, and BIG EAST conferences, and you could be next!\n\n**Our Ask**:\n\n👉 Our product is now live for the 2025-2026 basketball season. If you know anyone that works for a college, NBA, or international basketball team that would be interested, please reach out via email: [team@withplayvision.ai](mailto:team@withplayvision.ai)!\n\n👉 If you’re interested in getting data on your favorite players, sign up for our player portal on our website: https://withplayvision.ai/ \\\n\\\nReach us:\n\n* https://www.linkedin.com/in/anishjaygupta/\n* https://www.linkedin.com/in/marc-zoghby/", "url": "https://www.ycombinator.com/launches/OhD-playvision-ai-moneyball-for-sports", "votes": 76, "created_at": "2025-10-27T17:48:50.331Z" } ] }, { "id": 30949, "name": "Crunched", "slug": "crunched", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/386111466c0c67b245d52cdab2fb675d0a73799e.png", "website": "https://usecrunched.com/", "all_locations": "Oslo, Oslo, Norway", "long_description": "Crunched is the Excel AI analyst for power users - in consulting, investment banking, and private equity. It error-checks workbooks end-to-end, builds models from scratch, and handles grunt work like extracting and linking data from IMs to template models - all within Excel so teams can review and iterate as usual.\r\n\r\nAgents struggle with tabular data - getting reliable, multi-step execution over thousands of interlinked formulas, sheets, and ranges is hard. Making Crunched good enough for people who live in Excel means knowing the pain points deeply.\r\n\r\nMichael and Philip has 10,000+ hours in Excel across consulting and finance. Markus and Lars bring deep expertise in scaling AI and enterprise solutions.\r\n\r\nWe've had easy access to first customers and are already live with firms across six European countries - we now plan to expand into the US. With >1bn total Excel users, we focus on the top 2%, highest-value Excel users globally. \r\n\r\nWe're solving one pain point at a time to create a product that doesn't just look good in a demo but actually works in production.\r\n\r\nExcel is here to stay, but the way experts model is fundamentally changing - with Crunched.", "one_liner": "Excel AI analyst for Power Users", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Finance and Accounting", "launched_at": 1760902114, "tags": [ "Finance", "Productivity", "Analytics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Finance and Accounting" ], "regions": [ "Norway", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/crunched", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/crunched.json", "year_founded": 2025, "city": "Oslo", "country": "NO", "linkedin_url": "https://linkedin.com/company/usecrunched", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/386111466c0c67b245d52cdab2fb675d0a73799e.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/eeb6c636c9bec76ca5801d4482c565a9d00c3bd3.png" ], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2751214, "full_name": "Philip Borge", "title": "Founder", "founder_bio": "Co-founder & CEO at Crunched. Previous McKinsey PE and CEO of Okkult, an AI-powered optician concept. MSc in Finance & Private Equity from the London School of Economics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/philip-z-borge-97690b149/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0b961b9c941ed1e9931bdd0372990d930d81c405.jpg" }, { "user_id": 2978949, "full_name": "Lars Gjardar Musæus", "title": "Founder/CTO", "founder_bio": "Co-founder & CTO of Crunched. Senior full-stack and infrastructure engineer with deep experience building production systems - from cloud platforms and distributed backends to real-time control systems. Worked closely with customers to deliver tailor-made, end-to-end applications in forward-deployed engineering teams at Bekk, built cloud infrastructure at Schibsted and Sopra Steria, and developed autonomous maritime systems at Kongsberg Defence. Holds an MSc in Cybernetics & Robotics (NTNU).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/lars-g-mus%C3%A6us-756701174/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3d07ff05f546de95769f47cf3b56f56ebe70f68.jpg" }, { "user_id": 2966727, "full_name": "Michael Sakowski", "title": "Founder", "founder_bio": "Co-founder & COO at Crunched. Previous consultant and jr manager at McKinsey & Company. Core member of our Private Capital practice, focusing on commercial due diligence and PortCo strategy. Earlier also crunched out Excels in both investment banking and private equity. Masters in Banking & Finance from University of St. Gallen in Switzerland.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/michael-sakowski-9b9043148/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/fc6ba7341b90d7c4968341fc9ead7fe7b24e31cd.jpg" }, { "user_id": 2979507, "full_name": "Markus Skagemo", "title": "Founder", "founder_bio": "Co-founder and Head of AI at Crunched! Background in Robotics and Control Systems from NTNU. Former Data Scientist at Oda, Norway’s first unicorn, and at BearingPoint, where I built and scaled AI solutions for clients in finance and luxury automotive. Recipient of BearingPoint’s Global Innovation Award.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/markus-skagemo", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/20c36a2bd78a64d932296d2b845f7998d9b1b60d.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94760, "title": "Crunched - The AI Excel Analyst ⚡", "tagline": "Crunched makes consultants & finance professionals >2x their Excel modeling speed", "body": "Hi YC 👋\n\nWe’re [Philip](https://www.linkedin.com/in/philip-z-borge-97690b149/), [Michael](https://www.linkedin.com/in/michael-sakowski-9b9043148/), [Lars](https://www.linkedin.com/in/lars-g-mus%C3%A6us-756701174/) and [Markus](https://www.linkedin.com/in/markus-skagemo/) - and we’re building [Crunched](https://www.usecrunched.com/?utm_source=YC&utm_medium=post)\n\n# **TL;DR**\n\n**Crunched is the first AI Excel agent built by and for Excel power users**, tailored for management consulting and finance workflows\n\nWe’ve spent 10,000+ hours in Excel ourselves, and are live with consulting, IB and PE firms across Europe and the US, 2x-ing their Excel modeling speed\n\n**_Ask:_** We would love for you to introduce us to mgmt. consulting, investment banking or PE firms - contact us at [philip@usecrunched.com](mailto:philip@usecrunched.com)\n\n[**https://youtu.be/zBXue210_qo**](https://youtu.be/zBXue210_qo)\n\n# **Why we’re doing it**\n\nMichael and Philip have worked on countless deals at McKinsey and in other IB/PE roles, and it always starts and ends with an Excel model. It’s either the main deliverable itself, or the entire backbone of the slide deck.\n\nNo matter how skilled you are, manual Excel modeling is slow and super error-prone. On one of our last projects, a company’s 2030 revenue projection presented to the CEO was doubled because a colleague (promise it was a colleague), had linked the forecast to year 1 revenue growth for all years. That was a fun follow-up call afterwards.\n\nAssociates need specialized AI tools they can collaborate with directly in their workflows, to drive productivity and accuracy. The solution is not to replace Excel, but to augment it and solve one pain point at a time. That’s why we’re building Crunched.\n\n# **What we’re doing**\n\nCrunched is an Excel-native AI analyst that can:\n\n1. **_Error-check models:_** Check models for logical, formula and conceptual mistakes\n2. **_Gather data:_** Run targeted web research and extract figures from PDFs (e.g., annual reports) and link it into templates\n3. **_Build analyses:_** Build bespoke analyses from scratch, turning 1h tasks into 5-10min automated workflows\n\n![uploaded image](/media/?type=post&id=94760&key=user_uploads/2751214/b2d93de1-6fa0-44de-b6eb-3ec8197d190a)\n\nUsers are already reporting that they’re >2x faster on specific tasks. We are on a mission to make it 10x across all modeling work.\n\n# **Team**\n\nMichael and Philip have 10,000+ hours of Excel experience (often until 4am) from McKinsey. Lars and Markus have years of experience shipping and scaling award winning AI enterprise solutions, and are building Crunched with the cutting-edge security needed for clients to trust us with their highly confidential data.\n\n![uploaded image](/media/?type=post&id=94760&key=user_uploads/2751214/b8c7c9db-f67a-4228-8db4-818620d713b7)\n\n# **Ask**\n\n**We’re expanding in Europe and into the US and are looking for warm intros** **to mgmt. consulting, IB and PE firms.** If you are or know any Excel power users we’d love your help.\n\nPlease reach out at [philip@usecrunched.com](mailto:philip@usecrunched.com) or book a live demo on [our website](https://usecrunched.com?utm_source=YC&utm_medium=post). All help is appreciated - **thank you!**", "url": "https://www.ycombinator.com/launches/OeO-crunched-the-ai-excel-analyst", "votes": 62, "created_at": "2025-10-20T14:48:59.711Z" } ] }, { "id": 30969, "name": "Lemma", "slug": "uselemma", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/335dca5772b36d447d2e1c9b0f730539813d1846.png", "website": "https://www.uselemma.ai/", "all_locations": "San Francisco, CA, USA", "long_description": "Lemma is production monitoring for AI agents. We catch the silent failures your observability tools and evals miss (think bad tool calls, lost context, and infinite loops) before your users find them.", "one_liner": "Production Monitoring for AI agents", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1761703288, "tags": [ "Developer Tools", "Analytics", "Infrastructure", "Monitoring", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "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/uselemma", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/uselemma.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/uselemma", "x_url": "https://x.com/uselemma_ai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/335dca5772b36d447d2e1c9b0f730539813d1846.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 1798805, "full_name": "Jerry Zhang", "title": "Founder/CEO", "founder_bio": "Co-founder @ Lemma (YC F25) | Reliability platform for AI agents", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jerry-n-zhang/", "x_url": "https://x.com/zjearbear", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5ea73d82ad13ecb85985095e699c5a6b06cff636.jpg" }, { "user_id": 1374781, "full_name": "Cole Gawin", "title": "Founder/CTO", "founder_bio": "developing the next generation of intelligent systems @ lemma (f25) | ex-USC", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/colegawin", "x_url": "https://x.com/colegawin_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/deca21906919edc6e42060d0665ec4c3ae3d597a.jpg" } ], "jobs": [ { "id": 104341, "title": "Product Engineer", "url": "https://www.ycombinator.com/companies/uselemma/jobs/wrFU6bU-product-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 113900, "title": "AI/ML Engineer", "url": "https://www.ycombinator.com/companies/uselemma/jobs/vyHNWKs-ai-ml-engineer", "location": "San Francisco, CA, US", "type": "Full-time", "role": "Engineering", "role_type": "AI engineer", "salary_range": "$120K - $200K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95219, "title": "Lemma: Continuous Learning for AI Agents", "tagline": "We enable AI agents to continuously improve by turning real user feedback into automated prompt optimizations. ", "body": "**TL;DR:**\n\nLemma is the first evaluation + observability platform built not just to measure performance, but to improve it automatically. We help AI agents learn from real user feedback and production data, closing the loop so your prompts and agents continuously optimize themselves over time.\n\n**Launch Video:** https://www.youtube.com/watch?v=E4_v-pY_4fs\n\nHey everyone! We’re [Jerry](https://www.linkedin.com/in/jerry-n-zhang/) and [Cole](https://www.linkedin.com/in/colegawin/), co-founders of [Lemma](https://www.uselemma.ai/) (YC F25).\n\n**The Problem:**\n\n**AI agents don’t learn from their mistakes. In fact, they get worse with use.**\n\nIn production, prompts and agents continuously degrade due to real-world input drift (new user behaviors or unseen edge cases). Agent performance can often **drop \\~40% in a few weeks**, and suddenly what worked in testing breaks in front of customers.\n\nWhen that happens, engineers are forced to dig through logs, collect failing examples, and manually tweak prompts rather than building core product features.\n\n**Solution:**\n\nThat’s why we built **Lemma: the first end-to-end system that closes the loop between agent deployment and improvement.**\n\n**Here's what that means:**\n\n**Step 1:** Lemma detects failed outcomes directly from live traffic, and it automatically identifies the exact cause in an agent chain.\n\n**Step 2:** Lemma alerts you, and with one click, it runs targeted prompt optimizations to fix the failing behavior without any manual tracing or guesswork.\n\n**Step 3:** We give you back an improved prompt and automatically open a PR in your codebase so your prompts can live where you want them. Alternatively, you can also fetch your prompt from the Lemma dashboard.\n\n**Plus, Lemma provides all the LLM eval and observability features you rely on, just reimagined for continuous learning:**\n\n* Data-ingestion pipeline to bring your existing eval sets and automatically flag inconsistencies and gaps\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/4f862c09-dce0-48da-91fe-1a152a5d82da)\n\n* Prompt editor and inference support for any closed & open-source model for prompt iteration.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/92464a28-ab54-4511-bc79-fd3e4f9d4823)\n\n* Agent tracing observability with live drift detection, regression alerts, and performance visibility across real user interactions.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/2b82ecee-1965-4fc0-831d-36b76db3f064)\n\nTeams using Lemma cut manual prompt iteration by 90%, resolve production drifts in minutes instead of days, and improve model performance \\~2–5% every optimization cycle.\n\n**Our Story:**\n\nWe met freshman year at USC and have been building together ever since instead of going to classes.\n\nBefore starting Lemma, we were engineers at two high growth, AI-native startups: Tandem (AI for healthcare) and Chipstack (AI agents for chip design). At both companies, setting up evaluations looked like clunky Retool dashboards and multiple engineers manually tweaking experiments. We built internal systems that automated both running the evaluations themselves, as well as the error-driven feedback loop. The result: 2x accuracy improvement and speed of iteration.\n\nWe soon realized every AI company was reinventing the same internal tooling in-house. So we left college, joined YC, and are now bringing continuous learning infrastructure to everyone else.\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/53754495-215a-47aa-884d-bae4a59f9a68)\n\n**Ask**\n\n**Try our platform** - If you’re building with LLMs and run a ton of prompt or eval experiments, we’d love for you to work with us.\n\n**Introductions** - If you know a Head of AI/Eng or CTO at a pre-seed to Series A startup, we owe you lunch :)\n\nPlease reach out at [jerry@uselemma.ai](mailto:jerry@uselemma.ai) or book a live demo on our website [uselemma.ai](http://uselemma.ai). All help is appreciated - thank you!\n\n![uploaded image](/media/?type=post&id=95219&key=user_uploads/1798805/53c71689-276c-4993-b693-50aa8a492566)\n\n", "url": "https://www.ycombinator.com/launches/Oln-lemma-continuous-learning-for-ai-agents", "votes": 204, "created_at": "2025-11-05T19:58:08.940Z" } ] }, { "id": 30993, "name": "DiligenceSquared", "slug": "diligencesquared-inc", "former_names": [ "DiligenceSquared Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75ae93d8e056556c69cc8d6215f5c6787ea95eb.png", "website": "https://diligencesquared.com/", "all_locations": "New York City, NY, USA", "long_description": "DiligenceSquared delivers AI-powered market due diligence for investment decisions - like the $500k McKinsey reports, but automated, auditable, and at a fraction of the cost.\r\n\r\nWhen Private Equity funds evaluate deals, they pay firms like McKinsey, BCG, and Bain $500K-$1M for market due diligence. The process takes weeks, and the output is a static PowerPoint that's impossible to audit. A single large-cap PE fund can spend >$30M annually on this and the total market is $10B per year.\r\n\r\nOur AI agents conduct expert interviews and synthesize insights with every claim linked to source transcripts. No black box, no \"trust me\" slides, and no 10x mark-up for human labor.\r\n\r\nFrederik bought these reports as a Principal at Blackstone. Soren sold them as a Principal at BCG. Harshil is a repeat founder and former Software Engineer at Google. We've seen both sides and know what matters in due diligence - and now we automate it.\r\n\r\nOur clients already include 8 leading private equity funds with over $2.4 trillion in combined AUM.", "one_liner": "AI-powered market due diligence for investment decisions", "team_size": 3, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1762366564, "tags": [ "Analytics", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/diligencesquared-inc", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/diligencesquared-inc.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/diligencesquared", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e75ae93d8e056556c69cc8d6215f5c6787ea95eb.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/a42ac50f00fb4b851cb03ab791412e7e657c4fbf.png" ], "primary_partner": { "name": "Nicolas Dessaigne", "url": "https://www.ycombinator.com/people/nicolas-dessaigne" }, "founders": [ { "user_id": 2323479, "full_name": "Frederik Hansen", "title": "Founder/CEO", "founder_bio": "Frederik is the CEO and Co-founder of DiligenceSquared.\n\nBefore DiligenceSquared, Frederik was a Principal in Blackstone's Private Equity team across San Francisco, New York, and London, doing multi-billion dollar buyout deals. He was a key decision-maker on the buy-side of commercial due diligence projects, commissioning dozens of $500K+ reports from firms like McKinsey and BCG. He knows what makes diligence credible to investors - and where traditional consulting wastes time and money.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/frederik-kofoed-hansen/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/358fcc5f0698a74f7099b40458b2ec1e44bb51a8.jpg" }, { "user_id": 2296969, "full_name": "Soren Biltoft-Knudsen", "title": "Founder/President", "founder_bio": "Soren is the COO and Co-founder of DiligenceSquared. \n\nBefore DiligenceSquared, Soren was a Principal at BCG's Private Equity team in New York, focusing on commercial due diligence for some of the world's largest private equity, growth equity, and hedge funds. He led 40+ commercial due diligence projects and knows the workflows intricately - what insights investors actually need and how AI can deliver them faster and better.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/søren-biltoft-knudsen-58010932/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/5f4b94cd806d643c73479ff8d9d3c9c502a3c24b.jpg" } ], "jobs": [ { "id": 86038, "title": "Engineer - Frontend", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/RJPu8pX-engineer-frontend", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "CSS", "Node.js", "React", "TypeScript" ] }, { "id": 86039, "title": "Engineer - Backend", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/ANPgqGX-engineer-backend", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "Python", "Redis" ] }, { "id": 86040, "title": "Engineer - Fullstack", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/yN97jLM-engineer-fullstack", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "Will sponsor", "skills": [ "PostgreSQL", "Python", "React", "TypeScript", "Next.js" ] }, { "id": 92333, "title": "Business Lead", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/ifYsd6D-business-lead", "location": "New York City", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$160K - $200K", "equity_range": "0.20% - 0.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 111260, "title": "Marketing Lead", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/2sgTNLd-marketing-lead", "location": "New York City", "type": "Full-time", "role": "Marketing", "role_type": null, "salary_range": "$110K - $150K", "equity_range": "", "experience": "5+ years", "visa": "Will sponsor", "skills": [] }, { "id": 111391, "title": "Engineer - Fullstack", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/i6wjjGB-engineer-fullstack", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111392, "title": "Engineer - Frontend", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/s7ZlWa7-engineer-frontend", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 111393, "title": "Engineer - Backend", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/E6eftaq-engineer-backend", "location": "New York City", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$160K - $200K", "equity_range": "", "experience": "Any (new grads ok)", "visa": "US citizen/visa only", "skills": [] }, { "id": 112777, "title": "Head of GTM", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/8voNnnz-head-of-gtm", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$190K - $220K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112778, "title": "Senior Account Executive", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/MGUtkVg-senior-account-executive", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 112779, "title": "GTM Associate", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/KiQIvSe-gtm-associate", "location": "New York City", "type": "Full-time", "role": "Operations", "role_type": null, "salary_range": "$140K - $175K", "equity_range": "", "experience": "1+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 116213, "title": "Talent & People Lead", "url": "https://www.ycombinator.com/companies/diligencesquared-inc/jobs/W7rX5nR-talent-people-lead", "location": "New York City", "type": "Full-time", "role": "Recruiting & HR", "role_type": "Recruiter", "salary_range": "$140K - $190K", "equity_range": "", "experience": "5+ years", "visa": "US citizen/visa only", "skills": [] } ], "news": [], "launches": [ { "id": 95241, "title": "DiligenceSquared - AI-powered market due diligence for investment decisions", "tagline": "Our AI agents conduct expert interviews and synthesize insights into fully auditable reports – replacing the $500K+ due diligence work from McKinsey, BCG, and Bain. ", "body": "Hey everyone!\n\nWe're Frederik, Soren, and Harshil – co-founders of DiligenceSquared.\n\n**TL;DR**\n\n[DiligenceSquared ](https://diligencesquared.com/)automates **market due diligence for private equity funds**. Our AI agents conduct expert interviews and synthesize insights into fully auditable reports – replacing the $500K+ due diligence work from McKinsey, BCG, and Bain.\n\nWe have deep expertise from senior industry positions at **Blackstone, BCG and Google**. Frederik bought this research at Blackstone, and Soren sold it at BCG.\n\nOur clients already include **two of the world's five largest PE funds** and several mid-market funds demonstrating the broad appeal of our technology.\n\n**Ask:** Can you introduce us to private equity funds, hedge funds or private credit funds that need credible market intelligence? Contact us at [founders@diligencesquared.com](mailto:founders@diligencesquared.com)\n\nhttps://youtu.be/DwNAEVXpv8c?si=qIkt0KSTylIdBg4T\n\n**❌ The Problem**\n\nPrivate equity funds spend **>$10B annually** on commercial due diligence. A standard engagement:\n\n* **Costs $500K-$1M** per project\n* **Takes 2-4 weeks** to deliver\n* **Relies on junior Associates** often only 1-2 years out of university\n* **Provides zero transparency** – no way to trace PowerPoint conclusions back to underlying evidence\n\nThe result: Funds delay diligence until the last minute because it's too expensive to do early or skip it entirely on smaller deals. In increasingly competitive capital markets, this creates a real disadvantage.\n\n**✅ Our Solution**\n\nOur AI agents autonomously conduct expert interviews and synthesize insights with **every claim linked directly to source transcripts**. The advantages are significant:\n\n* **Speed & Scale**: Parallel process interviews in local language and instantly synthesize insights with AI.\n* **Transparency and depth**: Trace any insight back to its underlying source, such as exact quote in interview transcripts. No black box, no \"trust me\" slides.\n* **Cost**: Fraction of traditional fees—making diligence economical for deals that couldn't justify it before.\n\nAs one Managing Director at a PE fund told us: _\"80% of the insight at 5% of the cost. It's a no-brainer for early-stage Commercial Due Diligence.\"_\n\n**🤝 The Team**\n\nOur team has spent years in private equity, consulting, and tech. We know what great due diligence looks like and how to automate it.\n\n* **Frederik** was a Principal at Blackstone's Private Equity team across London, NYC, and San Francisco. He spent 6 years buying these $500K+ reports and knows exactly what investors find valuable versus unnecessary bloat.\n* **Soren** was a Principal at BCG in NYC and spent 7 years leading commercial due diligence projects for the world's largest funds. He knows exactly which process and analytical steps can be automated.\n* **Harshil** was a Software Engineer at Google, leading AI systems in Google Ads. He's a repeat founder with 10 years of experience building production ML systems and knows how to operationalize them at scale.\n\n**🙏 Our Ask**\n\n**Can you introduce us to:**\n\n* Private Equity, Growth Equity, Private Credit, and Hedge Funds\n* Portfolio companies or corporates that need market intelligence\n* Deal professionals frustrated with traditional market due diligence\n\n👉**Contact us at [founders@diligencesquared.com](mailto:founders@diligencesquared.com)** or visit [**www.diligencesquared.com**](http://www.diligencesquared.com)\n\n![uploaded image](/media/?type=post&id=95241&key=user_uploads/2296969/7a5d64a9-8895-4b80-98d1-a3ac69b338d9)\n\n", "url": "https://www.ycombinator.com/launches/Om9-diligencesquared-ai-powered-market-due-diligence-for-investment-decisions", "votes": 52, "created_at": "2025-11-06T18:42:49.767Z" } ] }, { "id": 31203, "name": "Sitefire", "slug": "sitefire", "former_names": [ "pulse", "sitefire", "itefire" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea31f29e253c2635c1eccbc268b7d4d685f8caf6.png", "website": "https://sitefire.ai", "all_locations": "BY, Germany", "long_description": "Sitefire (YC W26) helps brands market their products to agents. They create content and tools that get their products discovered and used by AI agents (ChatGPT, OpenClaw). Sitefire identifies which content drives AI visibility, and automatically creates it. The teams using Sitefire execute on-page and off-page actions to deliver measurable top-line growth.", "one_liner": "Marketing suite for the agentic web", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Marketing", "launched_at": 1770178936, "tags": [ "Analytics", "Marketing", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Winter 2026", "status": "Active", "industries": [ "B2B", "Marketing" ], "regions": [ "Germany", "Europe" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/sitefire", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2026/sitefire.json", "year_founded": 2025, "city": null, "country": "DE", "linkedin_url": "https://www.linkedin.com/company/gpt-pulse", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ea31f29e253c2635c1eccbc268b7d4d685f8caf6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/0f944e1c95f2a3a70b8f6244d6738a7e29f1e9bc.png" ], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 2979444, "full_name": "Jochen Madler", "title": "Founder/CEO", "founder_bio": "Co-founder & CEO, sitefire.ai. Valedictorian of Germany's no. 1 finance program. Deep RL & optimization at Stanford and PhD at Technical University Munich (TUM).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jochen-madler/", "x_url": "https://x.com/jochenmadler", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/248b63c639b40291155bb485d9f3022f0bdad768.jpg" }, { "user_id": 2978925, "full_name": "Vincent Jeltsch", "title": "Founder/CTO", "founder_bio": "CTO@sitefire.ai, helping you market your brand to AI agents.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/vincent-jeltsch/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/601742d9017be5cfc272a7cebbc9911f000d723c.jpg" } ], "jobs": [ { "id": 98761, "title": "Founding Product Engineer", "url": "https://www.ycombinator.com/companies/sitefire/jobs/P6tu0WO-founding-product-engineer", "location": "Munich, BY, DE / Munich, Bavaria, DE", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "€85 - €120 EUR", "equity_range": "0.60% - 2.00%", "experience": "1+ years", "visa": "US citizenship/visa not required", "skills": [ "PostgreSQL", "React", "TypeScript", "AI Agents" ] } ], "news": [], "launches": [ { "id": 97707, "title": "sitefire - Marketing suite for the agentic web", "tagline": "Marketing suite for the agentic web", "body": "Hi! We are Jochen and Vincent, co-founders of [sitefire.ai](http://sitefire.ai)! 🔥\n\n**TL;DR:** Unlike other GEO tools, sitefire actually tells you how to improve your AI visibility. It recommends actions, and takes them for you. We are already working with Europe’s largest brands such as BMW, Xtrackers, and DWS.\n\n\n\n### What we are building\n\nUnlike other GEO tools, **sitefire actually tells you how to improve your AI visibility**. sitefire analyzes AI answers (query fan-out, sourced pages, cited pages) to identify which content works. Based on this, sitefire tells you which third-party sites to reach out to and which UGC content (Youtube, Reddit, etc.) to engage with.\n\nSecond, sitefire synthesizes the **top-cited web pages** and **writes brand-aware, AI-optimized blog posts for you** **- directly delivered to your CMS**. You just publish, improve your AI visibility, and start winning leads.\n\n![uploaded image](/media/?type=post&id=97707&key=user_uploads/2979444/a9370216-c966-424c-b98b-f93707e7a04e)\n\n### The Team\n\nVincent and Jochen met at Technical University of Munich (TUM). Vincent founded his first company at 18, and studied at CDTM (study program producing 20% of German unicorns). Jochen is a valedictorian of Germany’s no. 1 finance program, worked on optimization/deep RL at Stanford and as a PhD Candidate at TUM. We’re excited to bring cutting-edge data science to marketing teams!\n\n![uploaded image](/media/?type=post&id=97707&key=user_uploads/2979444/5f3cdf2b-ea74-4b34-9219-c1bfa08dc5bf)\n\n### Our Ask\n\n1. **Introductions:** Do you know **marketing/growth teams at Series A+ companies** that need a GEO tool to actually take action? We’d love to hear from you!\n2. **Try it 🔥** : **7-day free trial at [sitefire.ai](http://sitefire.ai).** Set up your account in 5min, and get your first AI-optimized content briefing!\n3. **Feedback:** Tell us what you think about our website, product, UX, etc.", "url": "https://www.ycombinator.com/launches/PPv-sitefire-marketing-suite-for-the-agentic-web", "votes": 16, "created_at": "2026-02-11T17:23:18.665Z" } ] }, { "id": 31318, "name": "Databuddy", "slug": "databuddy", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/41cf5cb7088967b39be98f97d7bb5d8f97df5aac.png", "website": "https://www.databuddy.cc", "all_locations": "San Francisco, CA, USA; Remote", "long_description": "Databuddy gives you your very own data analyst, always watching over your data, combining all your context to investigate and paint a full picture on every product issue that emerges in real-time; conversion drops, user frustration and churn.\r\n\r\nIt makes your product better without needing to have you look at a dashboard and spend hours figuring out the why. one click to install or switch from any dated analytics provider.", "one_liner": "AI Data Analyst for fast-growing teams", "team_size": 1, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1791412796, "tags": [ "B2B", "Analytics", "Data Engineering", "Infrastructure", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Fully Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/databuddy", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/databuddy.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trydatabuddy", "x_url": "https://www.twitter.com/trydatabuddy", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/databuddy", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/41cf5cb7088967b39be98f97d7bb5d8f97df5aac.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2755916, "full_name": "Issa Nassar", "title": "Founder", "founder_bio": "Building the coolest analytics platform that handles your analytics for you.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/issanassar", "x_url": "https://x.com/izadoesdev", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/91c0735889e9859c7981c36fd71679fb069d9050.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 32162, "name": "Studio", "slug": "studio", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/be382958698206c30f9e2a1996b85d6729c8ed0b.png", "website": "https://trystudio.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Studio is a simulation lab studying how humans and societies respond to new ideas, and is building the first software models that can accurately predict that response. Instead of creating digital twins of survey respondents, Studio builds live market models of interconnected audience segments from real, traceable consumer-behavior data. Our simulations match live KPI outcomes like revenue and purchase behavior with over 97% accuracy for consumer-facing enterprises, higher than any synthetic panel, simulation lab, or traditional market research.", "one_liner": "Accurately simulate market response at scale", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1787114400, "tags": [ "B2B", "Analytics", "Market Research", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/studio", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/studio.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/trystudioai/", "x_url": "https://x.com/trystudioai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/be382958698206c30f9e2a1996b85d6729c8ed0b.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Jon Xu", "url": "https://www.ycombinator.com/people/jon-xu" }, "founders": [ { "user_id": 3118770, "full_name": "Nikita Mullangi", "title": "Founder/CEO", "founder_bio": "Founder at Studio. Researched human behavior & decision making @ MIT. Ex-UC Berkeley CS.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/nikita-mullangi/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/21d8a2a9ca356c4067f8c184faaebcaf75a61f29.jpg" }, { "user_id": 3141318, "full_name": "Cameron Malloy", "title": "Founder/CTO", "founder_bio": "Founder at Studio (YC S26). Built AI agents at GI Partners ($49B AUM PE firm). Created agent-based financial contagion models at Nelumbium Capital. Ex UC Berkeley M.E.T. (EECS + Business Admin)", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/cammalloy/", "x_url": "https://x.com/CameronMalloy_", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/de0981b075b9ead121a23ebff63588cc572203a9.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111412, "title": "Studio: The simulation engine for market behavior", "tagline": "The first accurate simulation models able to predict society's response to an idea.", "body": "**TL;DR:** Studio is a simulation lab studying how humans and societies interact with new ideas, and building the first software models that can accurately predict that response. Instead of creating digital twins of survey respondents, Studio builds live market models of interconnected consumer segments from real behavior data. Studio's predictions match live KPI outcomes like revenue and sentiment with over 95% accuracy.\n\n\n\n## The problem\n\nA huge number of consequential decisions are bets on human behavior.\n\nA company launches a product or changes a price. A brand runs a campaign. A public institution launches a new initiative or communications strategy. In each case, the outcome depends on how a population responds.\n\nToday, teams rely on surveys and historical data to help derisk those bets.\n\nBut those tools are inherently outdated and non-comprehensive: they observe people individually and at a point in time.\n\n_Real populations don’t behave that way._\n\nPeople influence one another. Reactions spread between groups. Adoption compounds or fades. Sentiment changes. A decision that resonates with one audience can change how another audience responds. Those interactions are what ultimately determine outcomes like revenue, conversion, adoption, and sentiment.\n\nCurrently, the only real “simulation” is the launch itself.\n\n## What we do\n\nStudio builds live models of a company’s market from real data on how consumers behave. It overlays internal data like sales and campaign performance with external evidence like social conversations and market trends.\n\nStudio uses those signals to construct highly specific audience cohorts and model how their behavior and influence interact over time.\n\nTeams can then:\n\n* **Test-run launches:** see how a new product, price, campaign, message, or initiative will unfold.\n* **Forecast outcomes:** revenue, conversion, adoption, sentiment, and other KPIs.\n* **Understand why:** know which groups drive the result, by how much, and trace outcomes to exact evidence.\n* **Test alternatives:** compare different versions of a decision to find the optimal variation.\n* **Improve over time:** compare forecasts with real outcomes and recalibrate the model.\n\nInstead of predicting “How will this person respond to X?”, Studio answers:\n\n“How will a population interact with X, and why?”\n\nStudio has live-tested with large consumer brands like Danone and Mila, and our model’s predictions match real-world KPI outcomes with >95% accuracy.\n\n## Why we built it\n\nWe’ve spent years predicting behavior. Nikita built simulation software to understand and predict individual decision-making at MIT, while Cameron built predictive models for financial institutions and in private equity, and agent-based society simulations at UC Berkeley MET.\n\nWe met at the same gap: you can simulate how a protein will fold or how a financial system will react to a market shock, but there is no equivalent for simulating how society will interact with a new idea. We’re now creating a studio to design society.\n\n## Where we’re starting\n\nWe’re initially working with enterprises making high-stakes audience-facing decisions across product, pricing, innovation, brand, marketing, and communications.\n\nBut the underlying problem is much broader.\n\nAny organization trying to create a particular response in a population should be able to test different versions of that decision, understand how reactions might spread, and compare likely outcomes before deploying it.\n\n## Our ask\n\nWe’d love to talk to teams making consumer-facing decisions. This could be a new product, pricing plan, campaign, etc.\n\nIf you have an upcoming decision you’d like to test before it goes live, we’d love to run it through Studio!\n\n[trystudio.ai](http://trystudio.ai)\\\n[team@trystudio.ai](mailto:team@trystudio.ai)\n\nLet’s chat: ", "url": "https://www.ycombinator.com/launches/Syy-studio-the-simulation-engine-for-market-behavior", "votes": 14, "created_at": "2026-08-21T18:00:00.302Z" } ] }, { "id": 33019, "name": "Agnost AI", "slug": "agnost-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1595f92ea75b1f367addedb5703852b1c7efded.png", "website": "https://agnost.ai", "all_locations": "San Francisco, CA, USA", "long_description": "Agnost AI reads every conversation a company's AI Agent has with its users to find where it's silently failing and then turns that same data into custom models that run the agent better, faster & cheaper than frontier models.", "one_liner": "We find where AI agents fail, then train better models to run them.", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Analytics", "launched_at": 1783481375, "tags": [ "Developer Tools", "Machine Learning", "Analytics", "Monitoring", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Analytics" ], "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/agnost-ai", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/agnost-ai.json", "year_founded": 2025, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/agnostai", "x_url": "https://x.com/agnostai", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/e1595f92ea75b1f367addedb5703852b1c7efded.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/b09996d90ed38a4b5d62581651fffd7e0885e6b2.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 1987056, "full_name": "Shubham Palriwala", "title": "Founder/CEO", "founder_bio": "Co-founder and CEO of Agnost AI.\nYoungest Engineer on Cisco's Analytics team, First Hire at Formbricks (Open-Source Qualtrics), wrote code in Bitcoin & other open-source projects across OWASP and the Linux foundation.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/shubhampalriwala/", "x_url": "https://x.com/ShubhamInTech", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/16f7d9652057acfedcb3ad0c94ecab3e15758aba.jpg" }, { "user_id": 2055517, "full_name": "Parth Ajmera", "title": "Founder/CTO", "founder_bio": "Co-Founder/CTO at Agnost AI. Graduated in Computer Science from IIT Madras, ranking 159 among over 1 million candidates. Previously led graphics engineering at Infurnia and built terabyte scaled data pipelines at Microsoft", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/parthajmera/", "x_url": "https://x.com/prrthh132", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/93dc08b7da172c3288f1f798f2b9a0b27db75f16.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 111310, "title": "Agnost AI: Turn Your Agent Traces Into a Faster, Cheaper, & more Accurate Custom Model", "tagline": "We use your agent’s production traces to train a specialized model that performs better, responds faster, and costs less.", "body": "Your agent logs aren’t just for debugging. They’re your training data.\\\nHey YC! We’re Shubham and Parth, childhood friends and founders of Agnost AI.\n\n**TL;DR**: Agnost AI uses your agent’s production traces to train a model specialized for your exact workload. Our first custom model for our customer delivered them a:\n\n* 22.9% higher task success,\n* 90.2% lower median latency, and\n* 94.5% lower cost than Opus 4.8.\n\nDemo: \n\n### What we found\n\nA few weeks ago, we launched Agnost AI as product analytics for AI agents. We read conversations between users and agents to uncover failures, behavior drift, hallucinated links, frustration, and churn signals.\n\nWe expected to find bugs. Surprisingly, we also found a lot of infrastructure waste. Many customer-facing agents use frontier models for narrow, repetitive jobs:\n\n* Route a request to the correct tool\n* Have a narrow system prompt with the given inputs\n* Retrieve the relevant data from internal tool calls\n* Parse & format the final response\n\nThe underlying frontier model can write code, solve advanced mathematics, understand biology, and reason across hundreds of domains. **Your agent uses a small, repeatable slice of that capability while paying frontier-model prices for every request.**\n\n### We trained a specialist\n\nWe used historical production traces to train our first workload-specific model for an early customer: **agnost-<redacted>-0.1**\n\nWe evaluated it against Opus 4.8 on 780 held-out customer traces for an Identifier Extraction Agent. The results:\n\n* Task success: 71.5% → 87.9%, 22.9% relative improvement\n* Median latency: 4.80s → 0.47s, 90.2% lower\n* Tail latency: 11.20s → 1.35s, 87.9% lower\n* Cost per 1,000 completed tasks: $42.00 → $2.30, 94.5% lower\n\nThis is one model for one workload, not a claim that specialist models should replace frontier models everywhere.\n\nFrontier models remain the right choice for open-ended work. But once an agent’s production job becomes predictable, **paying for general intelligence on every request stops making sense**.\n\n### How it works\n\n1. Send your existing traces to Agnost through OpenTelemetry or our SDK.\n2. We identify the recurring workflows your agent performs.\n3. We create an eval set from held-out production traces.\n4. We train a specialist model on the historical workload.\n5. We benchmark it against your current model on success, latency, and cost.\n\nYou only consider switching when the specialist wins on your own workload. Your logs go from debugging data to evaluation data and finally to training data recursively.\n\n### Who we are\n\nWe’re childhood friends, eight years and counting.\n\n* Shubham: Youngest engineer on Cisco’s analytics team, first hire at Formbricks, and contributor to Bitcoin, OWASP, and the Linux Foundation.\n* Parth: IIT Madras CS, ranked 159 out of 1.5 million. Built Spark pipelines at Microsoft and led GPU technology at Infurnia.\n\n### Our ask\n\nIf you have meaningful daily traffic, send us an anonymized trace export. We’ll analyze the workload, build a held-out evaluation set, and tell you whether a specialist model is worth training. If it is, we’ll benchmark it against your current frontier model.\n\nEmail me at [shubham@agnost.ai](mailto:shubham@agnost.ai) or book a call at [call.agnost.ai](http://call.agnost.ai)\n\nMore about us at: [agnost.ai](https://agnost.ai)\n\n![uploaded image](/media/?type=post&id=111310&key=user_uploads/1987056/6599ed29-ddf9-4d02-9232-425af1535be7)\n\n", "url": "https://www.ycombinator.com/launches/SxK-agnost-ai-turn-your-agent-traces-into-a-faster-cheaper-more-accurate-custom-model", "votes": 97, "created_at": "2026-08-20T16:00:00.252Z" }, { "id": 107260, "title": "Agnost AI: Product Analytics for AI Agents", "tagline": "We read every conversation your users have with your agents & chatbots and surface hidden insights & product feedback. We are working with teams at Google, Exa and Corgi", "body": "**Your users are telling your agent exactly why they churn! You’re not listening.**\n\nHey YC! We’re Shubham and Parth, childhood friends, founders of **Agnost AI**.\n\n**TL;DR: Agnost AI reads every conversation your chat or voice agent has with your users. We show you what your users want, where they get frustrated, and why they leave.**\n\n**The feedback hiding in your logs becomes discoveries, evals, and fixes ready to ship. We’re already processing over 1 million events every day and growing.**\n\nTry us out at[ agnost.ai](http://agnost.ai)\n\n### \n\n### **The problem**\n\nTraditional product analytics were built for clicks.\\\nObservability was built for token costs, latencies, and deterministic errors.\n\nBut every product is rapidly moving from UI to conversation, and agent failures don’t look like traditional failures. The LLM returns 200 OK and says “sorry, I can’t do that.” The real failures are hiding in your conversations:\n\n* “can it remember this for next time?” → feature request\n* “you said it’s done, but nothing happened” → bug\n* “i’ve told you this three times already” → frustration\n* “nvm i’ll just do it myself” → churn\n\nToday teams throw more evals at this. But evals only tell you whether you fixed something, not what to fix. You can’t write a test for a problem you haven’t discovered yet.\n\n### **How it works**\n\n1. **Install our skill:** 3 lines of code, or point your OpenTelemetry exporter at us. Any LLM, any framework. Add any custom metadata like user tier, model versions, etc. We’re at:[ docs.agnost.ai](http://docs.agnost.ai)\n2. **Every conversation becomes a signal:** feature requests, bugs, frustration, churn risk, failed upgrades. Detected for your product, with the exact users & conversations behind each.\n3. **The insight becomes action:** when hundreds of users rageprompt at your agent due to a specific bug, Agnost AI hands you the insight with the exact conversations behind it: \n * create an eval from it\n * debug it,\n * or let Agnost fix it itself: our GitHub app opens a PR, tested against your past conversations, so you know it works before it ships.\n\n Your agent gets better every week.\n\n### **Who we are**\n\nChildhood friends, 8 years and counting.\n\n![uploaded image](/media/?type=post&id=107260&key=user_uploads/2055517/e3c2eaad-8b6e-4ec0-abfa-b16074688963)\n\n**Shubham**: Youngest engineer on Cisco’s analytics team, First Hire at Formbricks, Wrote code in Bitcoin, OWASP, and the Linux Foundation.\n\n**Parth**: IIT Madras CS (ranked 159 of 1.5M), built Spark pipelines at Microsoft, Led GPU tech at Infurnia (\\~$1M ARR).\n\n### **Our Asks**\n\n1. **Building a chat or voice agent?** Sign up & I’ll personally find 3 insane things going on in your agent traces that you’d have no idea about.\n2. **Know a founder whose product is an agent?** Intro us, 40’ monitors (to monitor your agents) on us: [shubham@agnost.ai](mailto:shubham@agnost.ai)\n3. **Try it:** Free tier:[ agnost.ai](http://agnost.ai)", "url": "https://www.ycombinator.com/launches/Ru0-agnost-ai-product-analytics-for-ai-agents", "votes": 191, "created_at": "2026-07-24T15:53:30.811Z" } ] }, { "id": 36774, "name": "ObsessionDB", "slug": "obsessiondb", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d02f08af0be569fcf511900d03b0d8eccfdf473.png", "website": "https://obsessiondb.com", "all_locations": "San Francisco, CA, USA", "long_description": "ObsessionDB is a real-time data warehouse that makes your data stack agent-ready. Your agents can ingest and query vast amounts of data in seconds, without the scary infra bill. Powered by our own more efficient fork of ClickHouse®.", "one_liner": "Real-time data warehouse for agents", "team_size": 5, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1792056940, "tags": [ "Analytics", "Big Data", "Databases" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "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/obsessiondb", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/obsessiondb.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/obsession-db", "x_url": "https://x.com/ObsessionDB", "fb_url": null, "cb_url": null, "github_url": "https://github.com/obsessiondb", "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/4d02f08af0be569fcf511900d03b0d8eccfdf473.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Christopher Golda", "url": "https://www.ycombinator.com/people/christopher-golda" }, "founders": [ { "user_id": 1006862, "full_name": "Rafael Aviles", "title": "Founder/CEO", "founder_bio": "Co-Founder & CEO at ObsessionDB. Bootstrapped our previous company to $1.5 M ARR and ran it profitably for 4 years, serving 5 billion real-time API requests per month. We ran data workloads at petabyte scale. Previously worked with the data team at enterprises like Wendy's, Victoria's Secret, FOX, Disney, Axel Springer, and Groupon.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/avilesco/", "x_url": "https://x.com/avilesrafa", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d37da273557c89396660d9bd178877a0bb6742ef.jpg" }, { "user_id": 364520, "full_name": "Marc Höffl", "title": "Founder", "founder_bio": "Founder at ObsessionDB. Serial founder with 4 companies, including Frens (acquired by Swyke) and Laserfocus (YC W20). Previously CTO at Numia building real-time blockchain data infrastructure. Founded Gambify in 2014, soccer app scaled to 6 figure players with support from German National Team. Engineering Manager at Localytics. MS in Data Science from KTH Stockholm, MS in Cloud Computing from TU Berlin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marc-h%C3%B6ffl/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9e312a2474088fbaaa2cd8982da7b2589589ad8b.jpg" }, { "user_id": 3960852, "full_name": "Marc Leuthardt", "title": "Founder", "founder_bio": "Co-Founder at ObsessionDB (YC F26). Previously co-founded Numia, scaling blockchain infrastructure to serve billions of monthly requests across 100+ blockchains. Co-founded and CTO at Frens (acquired by Swyke), autonomous infra validating 70+ blockchains. Co-founded and CTO at Lokalportal, led a team of 25. Degree in chemistry and economics. For a year spent a few mornings a week in a highschool chemistry lab to blow up things with students.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marc-leuthardt", "x_url": "https://x.com/marcmacmac", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bf248e989f02f62d53fdcd4cb8a26f9f63a224e8.jpg" } ], "jobs": [], "news": [], "launches": [] } ]