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        "title": "Principal Product Manager, Global Payments Platform and Controls",
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        "type": "Full-time",
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        "id": 115070,
        "title": "Software Engineer, Core Infrastructure (Mid-Senior level) ",
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        "id": 115072,
        "title": "Senior Technical Support Engineer",
        "url": "https://www.ycombinator.com/companies/zip/jobs/P6FzWbR-senior-technical-support-engineer",
        "location": "Australia",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 115073,
        "title": "Workplace Operations Specialist - UK (Contract)",
        "url": "https://www.ycombinator.com/companies/zip/jobs/VJbxpUO-workplace-operations-specialist-uk-contract",
        "location": "London",
        "type": "Contract",
        "role": "Operations",
        "role_type": null,
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      {
        "id": 115074,
        "title": "Senior Technical Enablement Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/3VeFjDM-senior-technical-enablement-manager",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Operations",
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        "id": 115075,
        "title": "Commercial Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/8RW4ewG-commercial-account-executive",
        "location": "New York City",
        "type": "Full-time",
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        "skills": []
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      {
        "id": 115076,
        "title": "Business Development Representative - French Speaking",
        "url": "https://www.ycombinator.com/companies/zip/jobs/85mypJW-business-development-representative-french-speaking",
        "location": "London",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 115077,
        "title": "Senior Technical Enablement Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/hdED6zM-senior-technical-enablement-manager",
        "location": "Remote (US)",
        "type": "Full-time",
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        "experience": "5+ years",
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        "id": 115078,
        "title": "Senior Manager, Commercial Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/IMO4nuu-senior-manager-commercial-sales",
        "location": "London",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "",
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        "experience": "5+ years",
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        "id": 115079,
        "title": "Business Operations Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/uJarX7a-business-operations-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115080,
        "title": "Senior ERP Solutions Consultant ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/y2NDO59-senior-erp-solutions-consultant",
        "location": "Remote (US)",
        "type": "Full-time",
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        "salary_range": "",
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        "experience": "5+ years",
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        "id": 115081,
        "title": "Technical Solutions Consultant - AUS",
        "url": "https://www.ycombinator.com/companies/zip/jobs/W4aJyjT-technical-solutions-consultant-aus",
        "location": "Sydney",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115082,
        "title": "Senior Software Engineer, Developer Platform",
        "url": "https://www.ycombinator.com/companies/zip/jobs/TpHIETh-senior-software-engineer-developer-platform",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115084,
        "title": "Solution Integrations Architect - Oracle ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/xFs4S2T-solution-integrations-architect-oracle",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 115085,
        "title": "Solutions Integration Architect - SAP Ariba",
        "url": "https://www.ycombinator.com/companies/zip/jobs/He4tCmj-solutions-integration-architect-sap-ariba",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
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        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 115086,
        "title": "Solutions Integration Architect - SAP",
        "url": "https://www.ycombinator.com/companies/zip/jobs/sucnx2Y-solutions-integration-architect-sap",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115087,
        "title": "Software Engineer, Core Infrastructure (Mid-Senior level) ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kGrxxcy-software-engineer-core-infrastructure-mid-senior-level",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115088,
        "title": "Enterprise Architect",
        "url": "https://www.ycombinator.com/companies/zip/jobs/lxQWpuQ-enterprise-architect",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "id": 115089,
        "title": "Principal Product Manager, AI",
        "url": "https://www.ycombinator.com/companies/zip/jobs/SIgnRMD-principal-product-manager-ai",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 115091,
        "title": "Solution Architect - Oracle",
        "url": "https://www.ycombinator.com/companies/zip/jobs/kUWHhwd-solution-architect-oracle",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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      {
        "id": 115092,
        "title": "Solutions Integration Architect - SAP Ariba",
        "url": "https://www.ycombinator.com/companies/zip/jobs/1p1RcKw-solutions-integration-architect-sap-ariba",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 115095,
        "title": "Marketing Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/Bljjhn6-marketing-development-representative",
        "location": "London",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115096,
        "title": "Senior Solutions Consultant - Project Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/LRJJVpx-senior-solutions-consultant-project-manager",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115097,
        "title": "VP, Namer Strategic Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/68oxhZO-vp-namer-strategic-sales",
        "location": "New York City / Remote - Jacksonville / Remote - Washington DC / Remote - Philadelphia / Remote - Charlotte / Remote - Atlanta / Remote - Boston",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115099,
        "title": "Senior Product Designer, Global Payments",
        "url": "https://www.ycombinator.com/companies/zip/jobs/gDwTlH3-senior-product-designer-global-payments",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115100,
        "title": "Head of Business Data",
        "url": "https://www.ycombinator.com/companies/zip/jobs/gWrQrPH-head-of-business-data",
        "location": "San Francisco / New York City",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 115101,
        "title": "Solutions Director",
        "url": "https://www.ycombinator.com/companies/zip/jobs/4iosHNt-solutions-director",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 115102,
        "title": "Marketing Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/DsIVEpP-marketing-development-representative",
        "location": "Australia",
        "type": "Full-time",
        "role": "Marketing",
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        "salary_range": "",
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        "experience": "Any (new grads ok)",
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        "id": 115103,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/HnfwJWS-enterprise-account-executive",
        "location": "Remote - Dallas / Remote - Houston / Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "experience": "Any (new grads ok)",
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        "id": 115104,
        "title": "Enterprise Account Executive - Southeast",
        "url": "https://www.ycombinator.com/companies/zip/jobs/pJJIQ8J-enterprise-account-executive-southeast",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
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        "experience": "Any (new grads ok)",
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      {
        "id": 115105,
        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/7HtuIE9-business-development-representative",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Sales",
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        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "skills": []
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        "id": 115106,
        "title": "Strategic Account Executive - East Coast",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ZYrR4KA-strategic-account-executive-east-coast",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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        "id": 115107,
        "title": "Strategic Account Executive - Central ",
        "url": "https://www.ycombinator.com/companies/zip/jobs/0BWbEjm-strategic-account-executive-central",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115108,
        "title": "Demo Engineer",
        "url": "https://www.ycombinator.com/companies/zip/jobs/nVAcZNt-demo-engineer",
        "location": "London",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115109,
        "title": "Solutions Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/2GkIrhz-solutions-manager",
        "location": "London",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115110,
        "title": "Head of InfoSec and IT Ops",
        "url": "https://www.ycombinator.com/companies/zip/jobs/NGkJXpk-head-of-infosec-and-it-ops",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 115111,
        "title": "Commercial Account Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/r7RI5RT-commercial-account-manager",
        "location": "Toronto",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 115112,
        "title": "Commercial Account Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/r7sT1Sn-commercial-account-manager",
        "location": "New York City",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "id": 115114,
        "title": "Commercial Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ksVqB9T-commercial-account-executive",
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        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
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      {
        "id": 115115,
        "title": "Senior ERP Solutions Consultant",
        "url": "https://www.ycombinator.com/companies/zip/jobs/g8iBcLV-senior-erp-solutions-consultant",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
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        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/zip/jobs/dzNMSq1-business-development-representative",
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        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115117,
        "title": "Senior / Principal Product Manager, Contract Orchestration",
        "url": "https://www.ycombinator.com/companies/zip/jobs/wDewwx3-senior-principal-product-manager-contract-orchestration",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Product",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
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        "id": 115118,
        "title": "Product Operations Manager",
        "url": "https://www.ycombinator.com/companies/zip/jobs/0phqQHm-product-operations-manager",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115119,
        "title": "GTM Strategy & Operations Manager, Pre-Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/P6v20iH-gtm-strategy-operations-manager-pre-sales",
        "location": "New York City",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115120,
        "title": "GTM Strategy & Operations Manager, Post-Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/cVgyFYe-gtm-strategy-operations-manager-post-sales",
        "location": "San Francisco / New York City",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115121,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/zip/jobs/VZS1TSn-enterprise-account-executive",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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      {
        "id": 115122,
        "title": "GTM Strategy & Operations Manager, Post-Sales",
        "url": "https://www.ycombinator.com/companies/zip/jobs/H5uMWy6-gtm-strategy-operations-manager-post-sales",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "",
        "equity_range": "",
        "experience": "5+ years",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 115123,
        "title": "Recruiting Coordinator",
        "url": "https://www.ycombinator.com/companies/zip/jobs/85yboNY-recruiting-coordinator",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Recruiting & HR",
        "role_type": "Recruiter",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115124,
        "title": "Staff Product Designer, AI Agents & Chat",
        "url": "https://www.ycombinator.com/companies/zip/jobs/ckPFvc9-staff-product-designer-ai-agents-chat",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "8+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
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        "id": 115125,
        "title": "Product Designer, Contract Orchestration",
        "url": "https://www.ycombinator.com/companies/zip/jobs/rA6SA53-product-designer-contract-orchestration",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Design",
        "role_type": "Web design",
        "salary_range": "",
        "equity_range": "",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 115126,
        "title": "Senior Product Designer",
        "url": "https://www.ycombinator.com/companies/zip/jobs/RcE6ynZ-senior-product-designer",
        "location": "New York City",
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        "body": "**TL;DR**\\\nFirstSupport grants superpowers to customer support teams by automating translation, information retrieval, generating brand-aligned responses, summarizing conversations, generating insightful reports, and automating tagging.\\\n\\\nOne week following our launch on Zendesk Marketplace, our product has been used by e-commerce merchants using platforms like _Magento/Woocommerce/Shopify_, customer support outsourcing firms, and startups across Asia, Europe, and America. These companies serve customers from multiple countries who speak different languages, and they manage extensive knowledge bases.\\\n—\n\n---\n\n### Introducing, the Five “Superpowers”\n\n1- **Instant Response Drafting**\n\n![uploaded image](/media/?type=post&id=76629&key=user_uploads/376547/c2baeb66-ae16-4028-91bf-26aa6171e6cd)\n\nWhenever your customer support team opens a ticket, FirstSupport AI will automatically generate a response draft based on\n\n* Information on your knowledge resource (Zendesk Knowledge Base, Google Docs, PDF, Website, Sitemap, Past Ticket Conversations, and more) that you can connect in our dashboard\n* Information from the connected third-party platform (Shopify/Stripe/Woocommerce), or custom APIs such as your internal tool\n* Brand personality guideline for your company\n\nSo you can review and submit directly in one click. See how it works:\n\n![](https://bookface.ycombinator.com/media/?type=post&id=76629&key=user_uploads/376547/47643cc9-4c86-4d61-a2e9-11dcf6c97122)\n\n2- **Seamless AI-powered Translation**\n\nEnhance your global or multi-lingual customer support with FirstSupport.\n\n* Automatically detect the customer's language and translate the entire conversation into your preferred language\n* Write in your language and have it automatically translated into the customer's language\n\n![](https://lh7-us.googleusercontent.com/OVu1JRK7bP1Q-ojr53aC0TN13ofKr7PYPssKtMx9xx3hp1lzktWh_i-ICqSHT7yW3Hd_UEp0ieafsf-NbgQXcnOG2RMBQ-ylnXTaePUh4m1EFRyx3EsHR35VqZ0jhgOmiDjDa8sQbW846bdEPy9iDEw)\n\n3- **One-Click Ticket Summarization**\n\n![](https://lh7-us.googleusercontent.com/bkk8U-MrHGO30smMpmzS3680rTihlgL2xjpLMCTsoz0N6dZ5K5gvlE1IMWzgyjHqs0ztQFf3HdmW2Q1XToCyOqI4py2NpcmiOsdxZJtz6akS3U3iJ5EELtbrymDesswYeJyZEcTxotpUcepX-CxDpzc)\n\nSupervisors and L2 agents can quickly capture the essence of customer interactions with a simple click of the '**Summarize**' button.\\\nOur customizable summary formats enable the extraction of diverse data from each ticket, ranging from **product/customer information** to insights into **customer emotions** during the conversation, ensuring comprehensive and efficient overviews tailored to your specific business needs\n\nSee it in action:\n\n![](https://lh7-us.googleusercontent.com/X_yHCRD6i8gvzlQc8-nY85UH8oJ7PDg_DgM8mBL1Wr24InW5WH-Jsb5p-eomidHELzPtVnAcobB_D3JXe3Q4I8YE5z6vOHcJOphFGNOnKnXLwvBBRtPUR8azT8r2-SZAQ9XfqBsat2wnhHLlAS6B-X8)\n\n![](https://lh7-us.googleusercontent.com/i_NclnYzY0FBjZARKZ_Kp1LFPkG94wuGfSEENJQtygaeo-sdEd169bjVRAqzihuH60GZB2C9dV5WZXTG1INDaC5qiOJIF9R4L70lAf5ym1NCn0uKbhvCd6gLPjiu3RM6bnHwFuzisu0TK1-9_0OShZs)\n\n4- **Automated Tagging**\n\n![](https://lh7-us.googleusercontent.com/qkwM7qZeuVORv6IAwhqhwX--XnE29vam_WkOEzsqBe-fIvXCcU4xZEXxgpzTlCKH-3NTE-X3E4jdYF_7ngiiHvBqkJwY6PnRUxzPWkKdBpc-gL5t5aZKW442J96Mw9bkIAAYtb7bzdRnpx_8wgkGx4g)\n\nEasily assign relevant tags to your tickets with just one click. Customize your Zendesk tags directly in our dashboard for streamlined ticket management.\n\n5- **Insightful Report Generation**\n\n![uploaded image](/media/?type=post&id=76629&key=user_uploads/376547/2af89abb-f1e1-4f61-95db-3c6fddeac8b7)\n\nFirstSupport AI analyzes each customer interaction and support ticket to identify common issues, knowledge gaps, and immediate action steps. Additionally, you'll receive an email summary with detailed highlights attached.\n\n### **Try For Free (with exclusive support!)**\n\nYou can try our product by registering on our [web app](https://app.firstsupport.ai), or by installing it from [Zendesk Marketplace](https://www.zendesk.com/marketplace/apps/support/980970/firstsupport-ai-assistant/).\\\n\\\nWe offer a **two-week free trial** and **personalized onboarding support** directly from our co-founders (reach out to us via [hi@firstsupport.ai](mailto:hi@firstsupport.ai) mentioning that you found us through the YC Launch)\n\n### **Be Our Partner**\n\nIf you can refer us to:\n\n* Customer support BPO (outsourcing) companies,\n* E-commerce merchants using Zendesk,\n* or, you’re just interested in being our sales partner\n\nWe would love to chat. Please reach out to our email [hi@firstsupport.ai](mailto:hi@firstsupport.ai)\n\n—\\\nContact us at [hi@firstsupport.ai](mailto:hi@firstsupport.ai) for any requests, questions, or feedback. Cheers!",
        "url": "https://www.ycombinator.com/launches/Jvx-firstsupport-ai-assistant-for-customer-support",
        "votes": 13,
        "created_at": "2023-12-04T17:31:52.996Z"
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    "website": "https://www.toplinepro.com",
    "all_locations": "New York City, NY, USA; Boston, MA, USA",
    "long_description": "Topline Pro (formerly ProPhone) is a Generative AI platform enabling home service businesses to be easily discovered, trusted and booked, directly. The AI-driven interface rapidly and affordably creates a custom, SEO-optimized website along with a application to help sync content to and from local listings, put social media communications on autopilot and enable the business owner to easily get paid online.",
    "one_liner": "Generative AI powered Shopify for home service professionals",
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        "location": "Palo Alto / Remote (US)",
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        "role": "Engineering",
        "role_type": "Full stack",
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        "equity_range": "0.50% - 1.50%",
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    "website": "https://www.worksphere.com",
    "all_locations": "Seattle, WA, USA",
    "long_description": "Worksphere helps companies manage a hybrid workplace where employees work from the office and from home. We allow employees to reserve a desk, know who will be in office, and better coordinate in-person meetings. Companies can let go of unused office space and save money.\r\n",
    "one_liner": "Manage your hybrid workplace",
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        "body": "Hi All,\n\nI’m excited to share [Spadeworks](http://www.spadeworks.co) with you all\n\n## Problem\n\nTrade contractors lose 40% of potential revenue because they can't answer calls while working on jobs. Every missed call is a missed customer - whether it's an emergency plumbing call at 9pm or a pest control inquiry during a busy day. Traditional solutions like call centers are expensive and don't understand trade-specific needs like emergency vs routine calls, seasonal pricing, or multi-visit treatment protocols.\n\n## Insight\n\nTrade contractors have predictable, repeatable customer interactions that follow industry-specific patterns. A pest control call about wasps needs immediate scheduling, while routine maintenance can wait. HVAC emergencies have different urgency than annual tune-ups. These conversations follow scripts that can be automated, but only if the AI understands trades terminology, pricing structures, and seasonal patterns.\n\n## Solution\n\nSpadeworks provides AI agents specifically trained for trade industries. Our AI answers calls, triages by urgency (emergency vs routine), schedules appointments based on technician availability and geographic routes, generates quotes using the contractor's pricing, sends SMS reminders, and handles follow-ups. When complex issues arise, it seamlessly transfers to humans with full context. The AI integrates with existing CRM and scheduling systems.",
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        "title": "Devyce - The business phone ☎️ in an app📱",
        "tagline": "We give your employees work numbers on their personal phone instantly",
        "body": "We’re [Nick](https://www.linkedin.com/in/nick-browne-a8a829147/) and [Ed](https://www.linkedin.com/in/ed-clayton-1b8b7b27/), and we’re building [Devyce](https://devyce.com/?utm_source=yc&utm_medium=web&utm_campaign=launch_yc&utm_id=launchyc&utm_content=top) - the business phone system for hybrid workers across the UK, Europe and worldwide. Want to get started with a UK mobile number right now? Download us from the [App Store](https://apps.apple.com/us/app/devyce/id1504660924) or [Play Store](https://play.google.com/store/apps/details?id=io.devyce.client&hl=en&gl=UK) and sign up in-app\n\n### The Problem 🚩 \n\nCompanies have three ways of getting phone calls to and from remote, hybrid, and offsite workers:\n\n* They can give their employees a **costly second handset** 📱📱\n* They can require that their employees use their **personal number for work** calls, hitting their privacy (and possibly regulatory requirements)🕵️\n* They can persevere with a **legacy office phone system**, with the configuration difficulties and poor quality mobile apps that come with it 📟 - on top of a 50% typical missed call rate.\n\nIn all of these cases, companies struggle to understand user behaviour and performance, and they risk customer loss if an employee leaves.\n\n### The Devyce Solution⚗️\n\n![uploaded image](/media/?type=post&id=65611&key=user_uploads/982968/87c27f9a-1901-4c85-9f59-269aa9e01ba8)\n\nDevyce customers use a portal to instantly allocate (and deallocate) numbers to employees, auto-attendants and call groups. They see calling stats and have the option to record calls and view a detailed call history.\n\n* Our monthly charge of around **$20 per user** is significantly lower than the price of a second handset.🪙\n* Users can be given **one or many mobile or landline numbers** instantly, from the UK, several European countries, and the US. 🌍\n* Our product is designed for **mobile first**, and our apps get fantastic [App Store](https://apps.apple.com/us/app/devyce/id1504660924) and [Play Store](https://play.google.com/store/apps/details?id=io.devyce.client&hl=en&gl=UK) reviews. ⭐⭐⭐⭐⭐\n\n### Our Magic Beans 🪄\n\nDevyce has a close relationship with a UK mobile network operator. This not only gives us unbeatably low call costs (we’re paid to receive calls), but as we are expanding it lets us overcome regulatory issues in territories outside the UK.\n\nOur tech’s second to none. We’re not just building a phone system, we’re redefining what it does. With **automated call summarization, CRM integrations and smart call routing** all in development we’re delighting both our customers _and their customers_. We’re reducing the number of missed calls, which means our customers get more sales opportunities and win twice by switching to us.\n\n### Our Story 📖\n\n![uploaded image](/media/?type=post&id=65611&key=user_uploads/982968/dc616887-712d-40c4-b296-cf41f714b9ca)\n\nNick’s background is in investment banking. However, while studying for his qualifications, he dabbled briefly in both real estate and recruitment. This gave him an insight into the pain points faced by both of those phone-intensive businesses, something that stayed with him until the opportunity to fix it arose.\n\nEd graduated from Cambridge with a Computer Science degree in 2004. He worked for some of the most selective London tech companies such as Softwire and G-Research, before moving to Vietnam for a few years and doing some freelance mobile development (as well as dabbling in VoIP).\n\nWe met through a mutual friend, Leo Bartle, who owns the aforementioned UK mobile network. Leo’s turned that network around from near bankruptcy, and it now supplies numbers to companies such as Salesforce and Google. He runs the mobile network day-to-day, and works closely with us through that as an increasingly active co-founder.\n\n# Get Devyce\n\n![uploaded image](/media/?type=post&id=65611&key=user_uploads/982968/190c4b2c-2163-40ab-b94d-83c149522949)\n\nWe’ve been selling for a year and a half, so our core telephone offering is reasonably mature and stable. You can sign up via [our website](https://devyce.com?utm_source=yc&utm_medium=web&utm_campaign=launch_yc&utm_id=launchyc&utm_content=bottom) for our multi-user packages, but if you want a **second UK mobile number instantly** you can just get the app from the [App Store](https://apps.apple.com/us/app/devyce/id1504660924) or [Play Store](https://play.google.com/store/apps/details?id=io.devyce.client&hl=en&gl=UK) and sign up through that.\n\nIf you’d like a European or other number then let us know at [founders@devyce.com](mailto:founders@devyce.com) and we’ll hook you up.",
        "url": "https://www.ycombinator.com/launches/H4F-devyce-the-business-phone-in-an-app",
        "votes": 61,
        "created_at": "2022-08-25T07:05:43.516Z"
      }
    ]
  },
  {
    "id": 26717,
    "name": "Blitz",
    "slug": "blitz",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9319d5ef3419cc17f12a1fb2910035be736adcb4.png",
    "website": "https://www.blitznocode.com/",
    "all_locations": "Porto, Porto District, Portugal; Remote",
    "long_description": "Blitz is a no-code platform to build internal applications and automate manual tasks. Quickly build a database, integrate your logic, and scale your operations. \r\n\r\nAlternative to Google Sheet and Airtable, Blitz is not limited by a number of lines of records or by an API rate. \r\n\r\nCreate your data model and set up data validation rules. Use our interface builder to create dynamic forms, and quickly onboard customer and partners. Leverage our granular permissions to share data to external users (publicly or privately). Add advanced business logic to your forms and portals, without writing any line of code. The experience is similar to creating spreadsheets, but without their limitations in terms of scalability and security. \r\n\r\nYou can use Blitz to build an onboarding flow, an order management system or some validation workflows for compliance purposes. \r\n\r\nStop using developer resources or rigid SaaS software. Start building your own tools, adapted to your needs, with Blitz. ",
    "one_liner": "Lovable for non-tech users: Build no-code internal and customer apps",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1656995564,
    "tags": [
      "SaaS",
      "B2B",
      "No-code",
      "AI",
      "Databases"
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    "top_company": false,
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    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
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      "Remote",
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/blitz",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/blitz.json",
    "year_founded": 2022,
    "city": "Porto",
    "country": "PT",
    "linkedin_url": "https://www.linkedin.com/company/blitznocode/",
    "x_url": "https://twitter.com/blitznocode",
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    "primary_partner": {
      "name": "Nicolas Dessaigne",
      "url": "https://www.ycombinator.com/people/nicolas-dessaigne"
    },
    "founders": [
      {
        "user_id": 879481,
        "full_name": "Loic Veillard",
        "title": "Founder",
        "founder_bio": "Founder and CTO of Blitz. \n\n💻 Product Manager and Full Stack Developer\n📈 Experience at 2 unicorn scaleups (PayFit & Meero) and Corporate (L'Oréal, Amazon, Airbus)\n🆕 Launched PayFit Spain and recruited the funding team\n🤼 Lead 5 squads and 25 developers at Meero \n🔀 Worked as a freelancer CTO & CPO for fintech, edtech and web3 companies\n\n",
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        "linkedin_url": "https://www.linkedin.com/in/loic-veillard",
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    "launches": [
      {
        "id": 64760,
        "title": "⏩ Blitz - Build internal apps with zero code",
        "tagline": "Stop using spreadsheets or developer resources, and start scaling your operations! ",
        "body": "We make it easy to structure and automate very manual processes - such as onboarding a new partner or resolving customer tickets. \n\nHi everyone!\n\nWe’re Clement and Loic, the co-founders of [Blitz,](https://blitznocode.com/) and we are super excited to announce the release of [our closed beta](https://www.blitznocode.com/signup)!\n\n### **The problem**\n\nBuilding internal tools is broken. Many no-code tools have tried to address that issue, enabling developers to code faster or helping end users build web applications on top of Google Sheets or Airtable.\n\nBut let’s face it: they don’t work, and the result is always the same: operations teams go back to spreadsheets.\n\n### **Our solution**\n\nBlitz is a no-code platform to build internal apps and workflows on top of a flexible database—so that:\n\n1. **developers** can focus on developing user-facing features, and don’t have to build and maintain back-office applications anymore\n2. **product managers** have now the capabilities to build internal apps with no tech resources\n3. **operations teams** never have to do the same manual task over and over again\n\n![uploaded image](/media/?type=post&id=64760&key=user_uploads/813313/a34fc140-8bf9-48d3-8fef-fab0051bbad1)\n\n**Blitz relies on 3 main pillars:**\n\n1. **a reactive database**—design your data model and integrate your business\n2. **an interface designer**—create internal apps using pre-built templates and reusable components\n3. **a workflow builder**—set up backend or frontend triggers with conditions to automate actions\n\n### **Our ask 🙏**\n\n1. **Sign up** to our beta: <https://www.blitznocode.com/signup>\n2. **Share** this post! Please help spread the word, and let’s change the way business apps are built and used.\n3. **Connect us** with operations-intensive teams at fast-growing companies (fintech, marketplaces, e-commerce, healthcare…)\\*\n\n   _\\* copy & paste this blurb:_ Second employee at Aircall and ex-PayFit product lead are developing a [no-code app](https://www.blitznocode.com/) to build internal tools and automate manual operations. Check them out and contact [founders@blitznocode.com](mailto:founders@blitznocode.com) for more.",
        "url": "https://www.ycombinator.com/launches/GqW-blitz-build-internal-apps-with-zero-code",
        "votes": 70,
        "created_at": "2022-07-20T13:39:28.514Z"
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  {
    "id": 26720,
    "name": "TrueBiz",
    "slug": "truebiz",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/744ba21703836aacf20f93a8ea2eaf05fdb4ad3f.png",
    "website": "https://truebiz.io/",
    "all_locations": "Miami, FL, USA; New York, NY, USA; Remote",
    "long_description": "TrueBiz helps financial service providers reduce manual review during business onboarding.\r\n\r\nWe add color to the company's background with 250+ data points on the company from around the web (such as industry and address), and summarize key risk indicators.\r\n\r\nThe process takes seconds – not days, so financial service providers can efficiently meet risk requirements and onboard new businesses faster.",
    "one_liner": "Instant Background Checks for Businesses",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1653081454,
    "tags": [
      "Fintech",
      "B2B",
      "Identity",
      "Regtech"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2022",
    "status": "Active",
    "industries": [
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      "Operations"
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/truebiz",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/truebiz.json",
    "year_founded": 2022,
    "city": "Miami",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/truebiz-inc",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/744ba21703836aacf20f93a8ea2eaf05fdb4ad3f.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": 156422,
        "full_name": "Danny Hakimian",
        "title": "Founder",
        "founder_bio": "",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dannyhakimian",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0223b5a91a671421bd16a28972f31c5c63e6319e.jpg"
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    "jobs": [
      {
        "id": 95567,
        "title": "Senior Software Engineer, Core Team",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/XkFCIG0-senior-software-engineer-core-team",
        "location": "Remote (US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $180K",
        "equity_range": "0.10% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 104922,
        "title": "Head of Sales",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/t99tSBy-head-of-sales",
        "location": "US / CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$175K - $225K",
        "equity_range": "",
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        "visa": "US citizen/visa only",
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      {
        "id": 104923,
        "title": "Growth Lead, Enterprise Outbound",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/4H4zIAD-growth-lead-enterprise-outbound",
        "location": "US / CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$140K - $175K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
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      {
        "id": 106783,
        "title": "SDR Manager, Enterprise Outbound",
        "url": "https://www.ycombinator.com/companies/truebiz/jobs/zM0fBqy-sdr-manager-enterprise-outbound",
        "location": "US / CA / Remote (US; CA)",
        "type": "Full-time",
        "role": "Sales",
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    ],
    "news": [
      {
        "title": "TrueBiz aims to help financial services providers onboard business customers faster, avoid fraud • TechCrunch",
        "url": "https://techcrunch.com/2023/01/31/yc-alum-truebiz-raises-2-4m-to-help-financial-services-providers-onboard-business-customers-faster-avoid-fraud/",
        "date": "Jan 31, 2023"
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    "launches": [
      {
        "id": 64085,
        "title": "TrueBiz - Reduce Dropout During KYB",
        "tagline": "TrueBiz helps fintechs onboard business accounts faster by automating the processing of documents & data for KYB",
        "body": "# What We Do\n\nTrueBiz verifies business identity by combining the processing of company documents, together with searches in best-in-class data sources.\n\n# Who Has This Problem\n\nFinancial services companies onboarding business accounts often **revert to manual review because existing data sources can not provide a complete picture of the business.**\n\nAs a result, companies often rely on the business to provide supporting documentation — which is then manually reviewed. During the process they might review:\n\n* An Articles of Incorporation to verify business identity\n* A By Laws document to verify the shareholder structure\n* An invoice to validate the nature of the business\n\nThe back and forth to capture the correct documents can go on for weeks. **This slows down onboarding and creates a frustrating customer experience.**\n\n# How TrueBiz Solves KYB\n\nTrueBiz validates the different documents required for each step of the verification process. This is combined with searches in best-in-class data sources. This range of tools enables our clients to convert more customers, with less effort.\n\n![uploaded image](/media/?type=post&id=64085&key=user_uploads/156422/f72085b1-1265-4782-8183-a68c792b9f90)\n\nFor our clients, this results in:\n\n1. **Speed up time to activation:** we validate documents in seconds, preventing a slow back-and-forth to capture the correct paperwork. This shaves days off revenue realization.\n2. **Reduce manual review:** we help identify the \\~10% of cases that actually need further attention. You can redeploy the majority of your human analysts’ time and skill elsewhere.\n3. **Scale:** we remove friction from the onboarding process, so you can grow faster.\n\nOur process takes seconds – not days, so Financial Institutions can efficiently meet Know Your Business requirements and onboard new businesses faster.\n\n# Book a demo\n\nIf you’re a fintech looking to optimize your business onboarding process, [schedule a demo here](https://calendly.com/dannyhak/truebiz-demo?month=2022-06).",
        "url": "https://www.ycombinator.com/launches/Gfd-truebiz-reduce-dropout-during-kyb",
        "votes": 24,
        "created_at": "2022-06-26T23:51:25.936Z"
      }
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  },
  {
    "id": 27038,
    "name": "Fini",
    "slug": "fini",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/b044a080c88a5aedab72016a60feff3dd053fc64.png",
    "website": "https://www.usefini.com",
    "all_locations": "Amsterdam, NH, Netherlands",
    "long_description": "Fini builds AI agents that autonomously resolve up to 80% of customer support tickets for enterprises specially in Fintech, E-commerce, Gaming and Fitness tech.\r\n\r\nOur agents understand complex workflows, take real actions (like refunds or KYC checks), and improve in real-time. Built on a proprietary knowledge engine, our agents deliver 98%+ accuracy and integrate deeply with tools like Zendesk, Salesforce, and internal APIs.\r\n\r\nEnterprises like Bitdefender and Training Peaks use Fini to slash support costs by 50% while boosting CSAT by 10%.",
    "one_liner": "Fini | Automate 80% of enterprise support with AI agents",
    "team_size": 14,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1656434795,
    "tags": [
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      "Machine Learning",
      "SaaS",
      "B2B",
      "AI"
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    "batch": "Summer 2022",
    "status": "Active",
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    "regions": [
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      "Europe",
      "Remote",
      "Partly Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/fini",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/fini.json",
    "year_founded": 2022,
    "city": "Amsterdam",
    "country": "NL",
    "linkedin_url": "https://www.linkedin.com/company/usefini/",
    "x_url": "https://x.com/finichatAI",
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    "cb_url": "https://www.crunchbase.com/organization/fini-ea8a",
    "github_url": "https://github.com/ask-fini",
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        "user_id": 1010279,
        "full_name": "Deepak Singla",
        "title": "Founder",
        "founder_bio": "Deepak Singla is the co-founder of Fini. Deepak leads Fini’s product strategy, and the mission to automate customer interactions for tech companies around the world. Originally from India, Deepak graduated from IIT Delhi where he received a Bachelor degree in Mechanical Engineering, and a minor degree in Business Management ",
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      {
        "user_id": 996529,
        "full_name": "Hakim K",
        "title": "Founder",
        "founder_bio": "Hakim is leading tech at Fini. Hakim has a background in software engineering and analytics across 4+ organizations and 10+ years of experience. Most recently at Uber, Hakim met Deepak. Originally from Sweden, Hakim graduated from École Polytechnique with a master's degree in Engineering Mathematics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/hakim-k/",
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    "launches": [
      {
        "id": 123337,
        "title": "Scout by Fini: An AI teammate for your support team",
        "tagline": "Turn customer conversations into insights, knowledge updates and bug reports, from Slack.",
        "body": "![uploaded image](/media/?type=post&id=123337&key=user_uploads/1010279/d5b943fa-4982-44a2-95a5-41a6821f5a48)\n\nHey everyone, Deepak here, co-founder of Fini (S22). We just launched **Scout, an AI teammate that turns customer conversations into better support knowledge, bug reports and insights.**\n\nAt Fini, we build AI agents that answer customer questions. But answering a ticket doesn’t fix the outdated help article or product issue that caused it. Someone still has to investigate, gather evidence and make the fix. That’s the work we built Scout to take on.\n\n**Scout lives in Slack and works across your support tickets, customer reviews and threads.** You can ask it:\n\n* “Why did CSAT drop last month, and has it recovered?”\n* “What are customers asking that our help center doesn’t cover?”\n* “Which product issues keep coming up, and who’s affected?”\n\nIt investigates and brings back answers with evidence and customers’ own words. It can then draft a knowledge update or file a Jira/Linear bug with the findings attached. Your team approves every change.\n\nIt also runs recurring reviews, so the work keeps moving without someone remembering to ask. Teach it a rule like “Always exclude our test tickets” and it remembers for future work.\n\n**What customers are seeing:**\n\nAt TrainingPeaks, weekly knowledge upkeep went from 6 hours to 1. At Snapdocs, the share of customer questions covered by approved knowledge grew from 44% to 72% in 11 weeks.\n\nScout works with your existing support stack. You don’t need to use Fini’s customer-facing agent.\n\n**We’d love feedback from YC founders and support teams.** Reply here or DM me and we’ll help you get set up.\n\n<https://www.usefini.com/scout?utm_source=bookface&amp;utm_medium=community&amp;utm_campaign=scout_launch>\n\nWhat’s one thing buried in your customer conversations that you wish your team had time to investigate?",
        "url": "https://www.ycombinator.com/launches/W5J-scout-by-fini-an-ai-teammate-for-your-support-team",
        "votes": 3,
        "created_at": "2026-10-19T16:29:07.812Z"
      },
      {
        "id": 96968,
        "title": "Fini: Accuracy-first AI for high-stakes support",
        "tagline": "AI customer support with 100% compliance and 0% hallucinations",
        "body": "Hey everyone! 👋\n\nWe’re Deepak and Hakim. Before founding Fini (YC W22), we led product and growth teams at Uber, operating at the scale of 200 million+ support tickets every year. We founded Fini believing that AI support can (and should!) be held to a higher standard than human support.\n\n**TL;DR** If you run support for a bank, fintech, insurance company, or any regulated industry, chances are you’ve tried your hand at generic AI support chatbots and realized they’re not a fit. A single hallucinated response can lead to lawsuits and PR disasters, destroying customer trust you’ve worked hard to build over decades. Fini AI was built specifically for these high-stakes environments, resolving 80% of support queries with full compliance and zero hallucinations.\n\n![uploaded image](/media/?type=post&id=96968&key=user_uploads/1010279/fe000980-ba95-4470-9469-32c24fb5516a)\n\n\n### **Support in regulated industries is broken**\n\nCompanies in finance, insurance, and healthcare face a brutal trade-off:\n\n* **Scale support with humans:** Expensive, hard to hire, and training takes months.\n* **Scale it with generic AI:** High risk of hallucinations, compliance breaches, and protocol violations.\n\nIn regulated spaces, hallucinations or protocol violations aren’t just isolated bad user experiences; it’s a potential regulatory fine. A class-action lawsuit. A PR disaster waiting to happen. Because of this, most teams are forced to stick with slow, expensive manual support, leaving customers waiting even for straightforward queries.\n\n### **The (accuracy) problem**\n\nIf you lead a support team in a regulated industry, you can't just let an LLM loose on your knowledge base.\n\n* Generic models prioritize \"fluency\" over \"factuality.\"\n* They often make up policies or promise refunds that don't exist.\n* Audit trails are often non-existent or hard to parse.\n\nYou end up blind to what the AI is actually saying until it’s too late. This risk forces many companies to pull back on AI support entirely, leading to burnt-out agents and frustrated customers.\n\n### **Fini solves this**\n\nWe built Fini to be accuracy-first. We monitor every interaction to ensure compliance and use specialized AI agents that don’t just \"chat\" — they solve.\n\n* **98% Accuracy:** We hold our AI to even higher standards than human agents.\n* **Human-in-the-Loop:** We seamlessly loop in human experts for edge cases.\n* **Self-learning:** The AI learns from your best people whenever they intervene to solve a new problem.\n* **Proven Scale:** We already resolve over 1 million tickets monthly for customers like the US Chamber of Commerce Foundation, Atlas, Found, and Bitdefender.\n\n### **Our Asks**\n\n* **Do you lead Support or CX** in a regulated industry (Fintech, Insurtech, Health) and want to automate tickets without the risk? **Let’s chat.**\n* **Know a great operator?** We’re hiring a Head of Growth, Product Marketing Lead, and an AI Product Manager. Please introduce them to us!",
        "url": "https://www.ycombinator.com/launches/PE0-fini-accuracy-first-ai-for-high-stakes-support",
        "votes": 6,
        "created_at": "2026-01-20T18:12:08.355Z"
      },
      {
        "id": 64064,
        "title": "Fini - ⚡️ Lightning ⚡️ quick Customer Contact Resolution",
        "tagline": "Fini helps companies collect, categorize and resolve customer issues using AI ",
        "body": "**Fini helps companies collect, categorize and resolve customer interactions.**\n\nHey all! We’re Deepak & Hakim, and we have worked on AI systems for customer interaction at companies like Uber, Accenture, and PwC.\n\nWe’ve seen **companies in multiple sectors lose millions of dollars** trying to solve various customer interactions manually through agents - spanning from healthcare claims for insurance companies to millions of customer inbound tickets for B2C enterprises.\n\nAt Fini we categorise and resolve all your customer inbounds in real-time across 50+ languages, and integrates with your CRM systems in less than a week.\n\n**Problem:**\n\nWhen a company tries to scale its operations, it often runs into the following roadblocks in terms of handling customer contact:\n\n1. Customer requests come from multiple channels (emails, CRM, typeform, chatbots, in-app)\n2. These requests are currently solved manually by agents. Actioning this feedback at scale is slow and expensive.\n3. Customer insights are not generated in real time\n\n**How can Fini help me?** \n\nWe can help you to:\n\n* **Integrate channels into one overview:** Collecting requests from across your systems.\n* **Product driven resolution:** Our software redirects customers to self-serve product integrations to solve their issues without any human touch.\n* **Get real-time product insights:** Dashboards tailored to your use-case precisely illuminating customer pain points.\n\n**Want us to help you?** Email [hello@usefini.com](https://mailto:hello@usefini.com) to get set up within a week!",
        "url": "https://www.ycombinator.com/launches/GfI-fini-lightning-quick-customer-contact-resolution",
        "votes": 34,
        "created_at": "2022-06-25T00:31:19.513Z"
      }
    ]
  },
  {
    "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",
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    "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",
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    "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<https://www.youtube.com/watch?v=9I1BvbW3n6Y>\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 <https://sanifu.ai> \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": 27158,
    "name": "Jasmine Energy",
    "slug": "jasmine-energy",
    "former_names": [
      "Jasmine"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f91a6541d69955619d2764e9af07eaf99a2ca8ab.png",
    "website": "http://www.jasmine.energy",
    "all_locations": "Washington, DC, USA; Remote",
    "long_description": "Jasmine makes it easy to register, sell, finance, and retire RECs (renewable energy certificates). Our AI can \"read\" unstructured data (CRM notes, PDFs, images, etc) and use that information to complete webforms and filing document. This takes previously manual error prone process and makes it automatic and self-healing. ",
    "one_liner": "Claim solar incentives with AI",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1660594604,
    "tags": [
      "Solar Power",
      "Energy",
      "Renewable Energy",
      "AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 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/jasmine-energy",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2022/jasmine-energy.json",
    "year_founded": 2022,
    "city": "Washington",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/jasmine-energy/",
    "x_url": "https://www.twitter.com/jasmine_energy",
    "fb_url": null,
    "cb_url": null,
    "github_url": "https://github.com/Jasmine-Energy",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/f91a6541d69955619d2764e9af07eaf99a2ca8ab.png",
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    ],
    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 996753,
        "full_name": "Nathalie Capati",
        "title": "Founder",
        "founder_bio": "",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/nathaliecapati-energy/",
        "x_url": "https://twitter.com/nathaliecapati",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/74a6409c4112f8b3bd2c60fe57c0356130ea3773.jpg"
      },
      {
        "user_id": 6915,
        "full_name": "Dalton Combs",
        "title": "Founder/CPO",
        "founder_bio": "Minds, Machines, Markets",
        "is_active": false,
        "linkedin_url": "http://www.linkedin.com/in/TDaltonC",
        "x_url": "https://twitter.com/TDaltonC",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/07e30ca7ed274fd37ee0fe1d9e267088543377fd.jpg"
      },
      {
        "user_id": 421,
        "full_name": "Matt Mayberry",
        "title": "Founder",
        "founder_bio": "on a relentless mission to see what man can make of man 🏴‍☠️",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/matthewmayberry",
        "x_url": "http://www.twitter.com/mattmayberry",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f3d6164fdd441abfdf9d1f715034fe2f643540aa.jpg"
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    ],
    "jobs": [],
    "news": [
      {
        "title": "Jasmine launches energy trading app",
        "url": "https://www.axios.com/pro/climate-deals/2023/07/31/jasmine-energy-trading-app",
        "date": "Jul 31, 2023"
      }
    ],
    "launches": [
      {
        "id": 65777,
        "title": "Jasmine Energy — Claim Solar Incentives with AI ☀️",
        "tagline": "Jasmine automates common and confusing workflows, helping solar owners get paid!",
        "body": "Hi YC!  👋\n\nWe’re Nathalie, Dalton, and Matt from Jasmine Energy.  Today we are proud to launch our latest AI tool to help solar owners claim their incentives.\n\nThe U.S. solar market is booming. It took 50 years to reach 5 million installations—now that number will double to 10 million in just six. 97% of these are on residential and commercial rooftops, yet over 1.7 million homes are missing out on valuable Renewable Energy Certificate (REC) income. Why? Because REC (Renewable Energy Certificate) management is still manual, confusing, and built for utilities—not everyday solar owners. Jasmine Energy changes that. Our AI-powered asset manager puts registration, compliance, and sales on autopilot, making it easy to turn solar generation into recurring income—with just a few clicks.\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/1c122467-5767-4a4e-b073-e88acd17faf4)\n\n**TL;DR: Jasmine is the first end-to-end REC management platform built for residential and commercial solar. We automate common and confusing workflows—helping solar owners get paid extra for generating clean energy.** \n\n### **The Problem**\n\n**Claiming RECs requires too much overhead for small or independent developers. (it works fine for the utility scale developers who designed it)**\n\nResidential and commercial solar generators lose time and money navigating an outdated, fragmented system for managing Renewable Energy Certificates (RECs).\n\nThe industry still relies on paper, pens, and people. There’s no single source of truth, no standardized documentation, and no digital infrastructure to support efficient operations.\n\n* **Complex registry compliance:** Each generator must register with one of several regional tracking systems, all with different rules, document requirements, and verification steps.\n* **Manual data reporting:** Uploading generation data, proving eligibility, and submitting documents are tedious, inconsistent, and prone to error.\n* **Inefficient monetization:** Selling RECs means navigating opaque markets, unclear pricing, and a maze of disconnected brokers and buyers—without a unified platform.\n\n### **Our Solution – AI-Powered Automation for the Solar Industry**\n\n**Use AI to “read” details from PDFs and to interact with legacy government websites.** \n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/c7d2bd40-b6eb-4064-b70f-120b3eeb1ea9)\n\nJasmine replaces the outdated, paper-based REC management process with an AI-powered platform purpose-built for residential and commercial solar generators.\n\nOur asset manager brings structure, standardization, and automation to an industry still running on spreadsheets and guesswork:\n\n* **Automated registration:** Jasmine handles the full lifecycle of registration, reporting, and verification across all major tracking systems—no paperwork, no confusion.\n* **Instant data processing:** Our AI ingests, validates, and submits generation data directly from inverters or utility portals to ensure RECs are accurately and efficiently issued.\n* **Transparent payouts:** Track your REC sales in real time and get paid faster, with full visibility into pricing, status, and transaction history.\n\nJasmine turns a fragmented, manual process into a seamless, digital experience—so solar owners can focus on generating power, not paperwork.\n\n### **Key Features**\n\n📝 **Automated Asset Registration** – Jasmine handles onboarding your residential or commercial solar system into the appropriate REC tracking registry, eliminating paperwork and manual errors.\n\n✅ **AI-Powered Data Validation** – Our platform connects to your inverter or utility portal to automatically validate and submit generation data in real time—ensuring fast, compliant REC issuance.\n\n📈 **Transparent Reporting & Analytics** – Get a clean, centralized view of your REC portfolio: generation history, earnings, sale status, and payout timelines—all in one dashboard.\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/e3f34226-de05-4e49-a60f-b4b95d079cfc)\n\n### **Market Opportunity**\n\n* **5M+ solar systems in the U.S.** eligible for REC sales.\n* **$5B+ annual REC market** that is growing as corporations push for sustainability goals.\n* **85% of small-scale generators** don’t currently monetize their RECs due to complexity.\n\n### **Who We Are For**\n\n🏠 **Home Solar Owners** \\\nEarn passive income from your rooftop solar—no spreadsheets, no stress. Jasmine fully automates REC registration, reporting, and sales so you can **get paid fast** for the clean energy you’re already producing.\n\n🏢 \\*\\*Commercial Developers & Independent Power Producers (IPPs)\\*\\*\\\nManage RECs across portfolios of solar assets with zero friction. Jasmine scales with your business—automating multi-site registration, streamlining compliance, and optimizing REC monetization from start to finish.\n\n🤝 **Third Party Owners & Origination Teams** \\\nThird Party Owners (TPOs) own many thousands of small solar generators. Each site has the compliance overhead as a single utility scale facility. Jasmine helps  third party owners seamlessly register and track hundreds or even thousands of small distributed generators quickly and accurately.\n\n### **Our Ask**\n\n**If you have solar:**  \\\nUse the product!  You can upload your solar documents and claim your incentives TODAY -> <https://assets.jasmine.energy> \n\n**If you don't have solar:**  \\\nIntroductions: Know a homeowner, business with solar, or a local solar installer? Refer them to Jasmine! Here’s a quick blurb you can share: \n\n_\"Jasmine Energy automates Renewable Energy Certificate (REC) management for residential and commercial solar. We handle registration, compliance, and REC sales using AI-powered automation—so solar owners can earn passive income without lifting a finger.\"_\n\n_📧:  _[_nathalie@jasmine.energy_](mailto:nathalie@jasmine.energy)\n\n🔗 [jasmine.energy](http://jasmine.energy)\n\nJoin us in simplifying and scaling REC management for the clean energy transition. 🚀\n\n**Nathalie, Dalton, and Matt**\n\n![uploaded image](/media/?type=post&id=65777&key=user_uploads/421/8d311047-fc85-4a85-9015-f05db3eb3b4f)\n\n",
        "url": "https://www.ycombinator.com/launches/H6v-jasmine-energy-claim-solar-incentives-with-ai",
        "votes": 41,
        "created_at": "2025-04-06T16:21:38.000Z"
      },
      {
        "id": 73943,
        "title": "Jasmine Energy:  Realtime climate asset trading",
        "tagline": "The easiest way to make your company 100% powered by renewables",
        "body": "**TL;DR:** Jasmine makes it easy to claim, buy, and sell renewable energy certificates.\n\nHi Everyone! [Nathalie](https://www.linkedin.com/in/nathaliecapati-energy/), [Dalton](https://www.linkedin.com/in/tdaltonc/), and [Matt](https://linkedin.com/in/matthewmayberry) here to (re)introduce [**Jasmine Energy**](https://jasmine.energy/) 🔋\n\nOn Jasmine, anyone can claim, sell, buy, and retire [energy attributes](https://en.wikipedia.org/wiki/Energy_certificate) directly.\n\nEnergy attribute certificates (EACs) (sometimes called Renewable Energy Certificates (RECs)  are a $10B market that is stuck in a time capsule from the fax machine era. Today's EAC market is confusing and time-consuming, taking weeks to register and days to trade.\\\n\\\nWe are on a mission to accelerate the net-zero transition by building climate asset markets that are accessible, transparent, and efficient.\n\n**💢 The Problem**\n\nRECs are a valuable source of revenue for renewable energy generators and are worth up to $500/MWh! The problem is EACs are still traded using phone calls and fax machines. The whole process is confusing and time-consuming, taking weeks to register and days to trade. Middlemen currently keep up to 30% of trade value. \n\n![uploaded image](/media/?type=post&id=73943&key=user_uploads/89898/29c68bd5-72fe-4072-86fc-e6d3b32cc819)\n\n**🤝 The Solution**\n\nOn Jasmine, anyone can buy and sell EACs at a posted price, permissionless, with settlement in seconds.  \n\nJasmine helps users manage their renewable energy assets by bridging RECs onto the blockchain and enabling DeFi transactions that are impossible in the existing markets. When a tokenized EAC is retired, Jasmine handles regulatory filings and auditing (filing paperwork, making phone calls, etc).\n\nJasmine provides the infrastructure to make every step of the buy and sell side process more efficient and transparent, allowing renewable energy generators to make more money, enabling commercial buyers to have a verifiable audit trail of their energy consumption, and giving energy traders the tools to operate more efficiently.\n\n![uploaded image](/media/?type=post&id=73943&key=user_uploads/89898/1700472b-a8b3-49b3-8eac-f0bb4076432b)\n\n**♻️ How does this directly help the climate?**\n\nUnder business as usual, we're not going to build enough global clean energy capacity to hit our 2050 goal of (1) electrifying the economy, (2) decarbonizing the electricity grid, and (3) improving people's quality of life by expanding access to affordable electricity. \n\nA more liquid EAC market will make renewable energy projects less risky to finance, attracting new investors to accelerate the grid’s decarbonization.  We’re bringing those EACs onto the blockchain not just for the transparency and liquidity benefits, but also because DeFi will quickly generate the financial derivatives to further incentivize project financing.\n\n🙏🏻 **Asks**\n\n* Engage with us on [ProductHunt](https://www.producthunt.com/posts/jasmine-energy) today! 🐱\n* Use RECs to make your company 100% renewable\n* Intro us to large generators and/or large buyers\n  * Utility and nonutility generators (NUGs)\n  * Renewable energy builders\n  * Climate asset traders & brokers\n  * Builders in the climate and crypto space\n  * ESG offices & officers\n\n**Come join our communities and use our dApp**\\\n\\\nHomepage:  <https://jasmine.energy>\\\nDiscord: <http://discord.gg/qsumZWzkC5> \\\nTwitter: <https://twitter.com/jasmine_energy>",
        "url": "https://www.ycombinator.com/launches/JEd-jasmine-energy-realtime-climate-asset-trading",
        "votes": 17,
        "created_at": "2023-08-09T14:46:29.021Z"
      }
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    "id": 27492,
    "name": "Zudo",
    "slug": "zudo",
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    "website": "https://zudo.work/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Zudo is building the AI workforce for the $100B+ warranty and extended service contract industry.\r\n\r\nOur AI workers automate complex, high-volume operations for automotive and home warranty companies — including claims processing, coverage verification, authorizations, customer support, renewals, and sales.\r\n\r\nUnlike traditional chatbots and copilots, Zudo's agents execute workflows end-to-end, interacting with customers over voice and digital channels while taking actions across existing enterprise systems. We're transforming an industry built on manual processes and phone calls into one powered by autonomous AI workers.",
    "one_liner": "AI Workers for Extended Service Contracts",
    "team_size": 4,
    "industry": "B2B",
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    "launched_at": 1680111928,
    "tags": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/zudo",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/zudo.json",
    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
    },
    "founders": [
      {
        "user_id": 583810,
        "full_name": "Akash Gupta",
        "title": "Founder",
        "founder_bio": "Akash Gupta graduated with distinction in chemical engineering and began his career as a process engineer at Shell. He later joined RBC Capital Markets as an Associate Strategist on the Commodities team before becoming a Y Combinator-backed founder, building zudo.work.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/akash-gupta-86580677/",
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    "jobs": [
      {
        "id": 116353,
        "title": "Forward-Deployed Engineer — AI Agents",
        "url": "https://www.ycombinator.com/companies/zudo/jobs/9SpnZlu-forward-deployed-engineer-ai-agents",
        "location": "CA / US / Remote (CA; US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$90K - $140K",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
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      },
      {
        "id": 116356,
        "title": "Forward-Deployed Engineer — AI Agents",
        "url": "https://www.ycombinator.com/companies/zudo/jobs/EW0JY9V-forward-deployed-engineer-ai-agents",
        "location": "CA / US / Remote (CA; US)",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "AI engineer",
        "salary_range": "$90K - $140K",
        "equity_range": "0.25% - 0.75%",
        "experience": "3+ years",
        "visa": "Will sponsor",
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    "launches": [
      {
        "id": 80334,
        "title": "🔎 Nucleus - LLM search across sales transcripts for Product Marketing teams",
        "tagline": "LLM powered conversational search engine over sales calls that helps product marketing teams discover what to build and pitch at the speed of thought. ",
        "body": "**tl;dr:** Product marketing teams spend hours listening to sales calls or using archaic keyword searches that often lead to false positives. We are building an LLM-powered search engine so Product Marketing teams can unlock the gold that exists in hundreds or thousands of sales calls. Nucleus automatically indexes and buckets hundreds of attributes per B2B client, such as objections, feature requests, and competitor mentions, to power your insights.\n\nHi everyone, we’re Akash, Nikhil, and Anirudh - the team behind Nucleus.\n\n![uploaded image](/media/?type=post&id=80334&key=user_uploads/583810/72ab75fc-307a-4e61-b6e9-bca1a0756bcb)\n\n# **🧨 The problem - hours spent listening to calls**\n\nProduct marketing teams spend hours listening to sales call recordings or painfully searching through transcripts by keywords to inform their sales pitch, marketing campaigns, upsells/cross-sells, and product roadmap. \n\nTake our client Jacob as an example. Jacob is a Product Marketing Manager who is responsible for positioning his product against competitors. He has to sit through call recordings to understand how prospects perceive competitors and how his company’s pitch is resonating with clients. He even hired a sales enablement analyst recently to organize calls and deliver insights to him.\n\n# 🎉 **The solution - ask Nucleus**\n\nNucleus empowers PMMs with **Revenue Reasoning** and **Revenue Observability** to convert thousands of sales calls into actionable insights.\n\nWith Nucleus Revenue Reasoning, product marketing teams can ask Nucleus a question in plain English like “Show me stage 1 prospects that were previously using Zoominfo for prospecting and what are their limitations with it?”. Nucleus will answer the question directly with LLM reasoning, along with supporting evidence from client calls.\n\n![uploaded image](/media/?type=post&id=80334&key=user_uploads/208653/ea5c36a8-aec6-4dac-828b-17f0abbcedb3)\n\nRather than relying on just keywords that often lead to false positives, with Nucleus Revenue Observability, Jacob can set up LLM-powered smart trackers that ping him in real-time when something he cares about happens in a call, such as when a prospect describes how they perceive a competitor. Nucleus’s LLMs go beyond archaic and often unfruitful keyword matching and instead reason over entire calls to deliver insights.\n\n![uploaded image](/media/?type=post&id=80334&key=user_uploads/208653/523b9be7-9531-457f-9e71-ea11e5c29e4b)\n\n# **👋 Asks**\n\n**Follow our journey on **[**Twitter**](https://twitter.com/NucleusLLM)** & **[**LinkedIn**](https://www.linkedin.com/company/nucleus-yc)**.**\n\n* If you are a B2B company that does more than 30 calls a week, [talk to us to see](https://calendly.com/akash-88/nucleus-ai) if we can be of help.\n* Share this post with your Product Marketing friends at B2B companies.\n\nThank You 🙏",
        "url": "https://www.ycombinator.com/launches/Kti-nucleus-llm-search-across-sales-transcripts-for-product-marketing-teams",
        "votes": 24,
        "created_at": "2024-04-22T17:50:45.342Z"
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    "id": 27816,
    "name": "OpenSight",
    "slug": "opensight",
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    "website": "https://www.opensight.ai",
    "all_locations": "San Francisco, CA, USA; Sunnyvale, CA, USA; Remote",
    "long_description": "OpenSight helps companies quickly scale up their support function and resolve customers' questions much faster. With the latest advancement in LLMs, OpenSight offers accurate answers and action resolution paths resolving >70% of inbound customer inquiries. ",
    "one_liner": "AI-powered customer support automation for fast-growing companies",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1673668209,
    "tags": [
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      "B2B",
      "Customer Success",
      "Customer Support"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Inactive",
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    "regions": [
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      "America / Canada",
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      "Fully Remote"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/opensight",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/opensight.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/opensightai/",
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        "full_name": "Ruoni Wang",
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        "founder_bio": "Full-stack engineer with a strong product mind. Prior to OpenSight, Ruoni built several AI/ML applications at Meta AI and is a patent author in Natural Language Processing. Now engineering @ Anima (YC W21). \n",
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        "user_id": 1255641,
        "full_name": "Jeff Huang",
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        "user_id": 422006,
        "full_name": "Victoria Wan",
        "title": "Founder/COO",
        "founder_bio": "In my previous life, I worked in strategic finance for startups and public companies before becoming the first marketing hire at Pry Financials YC W21 (Acquired by Brex). Currently living in TX with my husband and our 2 Shiba Inu’s and our son.",
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        "id": 69276,
        "title": "OpenSight - Automate your customer support questions (and actions!)",
        "tagline": "AI-powered solution to automate even the hard and time-consuming customer questions and requests",
        "body": "Hi YC! Vickie, Jeff, and I (Ruoni) are excited to introduce [OpenSight](https://www.opensight.ai)!\n\n**_Tl;dr_**_: OpenSight is a customer support automation tool that resolves **>70% of your customers’ questions** by automating actions in addition to providing text-based responses._\n\n## **❌ The Problem**\n\nYou are a B2C SaaS, e-Commerce, Marketplace, FinTech company with tons of tickets growing every day, support is becoming really expensive and **your Intercom bot solves 30% of the tickets** after either you or your head of ops **spent hundreds of hours finding and creating examples to train the bot.** (A notable portion of which are customers who just rage quit and counted as contained)\n\n## **✨ Our Solution**\n\n### Automatic Answering Bot\n\n* Learn from your FAQ, past agent responses AND agent actions to **2-3x your current chatbot’s containment to 70 - 90%**\n* Give your customer **precise answers** to the question asked (**check out** [**this comparison**](https://www.loom.com/share/ef944404f6e74ce3a0ea756ecf57b78a) **of our answer bot vs. Stripe’s help center and doc, and try it yourself** [**here**](https://stripe-demo.opensight.ai))\n* **More than just a simple embeddings search fed into GPT** - our proprietary algorithm uses statistical modeling to adjust answer relevancy and filter out irrelevant or case-specific content to ensure vetted and up-to-date answers\n* Promptly perform the actions that your customers request when the right conditions are met\n\n### Agent Assist\n\n* Draft answers and allow agents to **perform lengthy yet repetitive actions** with **a single click**, saving up to **80% of handle time**\n* Surface the **relevant customer data** at the **right time** to give your agents confidence without cluttering their workspace with unnecessary details\n\n  ![uploaded image](/media/?type=post&id=69276&key=user_uploads/699631/93ad40ec-16f6-4bca-8ca7-581efe7ac9c3)\n\n\n## **⚙️ How it works**\n\n1. An initial call to understand your needs - We **support multiple languages** and **integrations** (Zendesk, Intercom, Front, and more)\n2. Signing a data-sharing agreement for us to analyze your support data and present you with an automatability report with real backtest results using our bot and a tailored solution set\n3. 3-month pilot where we will be your consultant **customizing integrations and features just for you** and making sure we deliver on the promise; **no engineering lift from your end**\n4. An official rollout with our solution set, which will then become completely self-served\n\n## **🙏 Our ask**\n\n* If your team is overwhelmed by the number of support tickets - with > min (100+ tickets/daily, 3 customer support agents), let us help you by scheduling a call with us [here](https://usemotion.com/meet/OpenSight/xvxpkhl?d=30)\n* If you believe someone you know might need our help, we’d love to be connected at [vickie@opensight.ai](mailto:vickie@opensight.ai).\n* If you like what we are building, share and upvote!\n\nThank you so much!",
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        "votes": 73,
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    "name": "FlexWash",
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        "answer": "In 2019 I took over the family business, a 20 year old full service car wash. This business had no subscription program, which by this point had become a popular thing in the car wash industry. The site was also surrounded by several well established competitors.\\\\Instead of offering an identical subscription model that gave customers a single wash unlimited I wanted to do something different. Our subscription gave customers more flexibility and combined multiple packages from our menu, allowing them to both clean the car themselves and take advantage of options where we cleaned the car for them all for a recurring monthly fee.\\\\I searched the industry for a solution that would help me do this and found none. All existing solutions were inflexible and came with quotes over $100K. This wasn’t going to work for us, so I built a custom solution and shortly after other car washes were interested in using it as well."
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        "full_name": "Karan Toor",
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        "founder_bio": "Been writing B2B SaaS software for over a decade, noticed car wash software was especially behind. Interested in math puzzles and economics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/currentoor/",
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        "founder_bio": "I'm a co-founder of FlexWash. I've been writing software for over 10 years and running my family car wash with my brother for 4 years. We ran into several pain points trying to run our car wash with existing solutions, so we built our own.",
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        "title": "🚘💦FlexWash - An operating system for car washes",
        "tagline": "We make all the software car washes need to manage operations and revenue.",
        "body": "Hi, we’re [Chirag](https://bookface.ycombinator.com/user/165993) and [Karan](https://bookface.ycombinator.com/user/968288), founders of [Flex Wash](https://www.flexwashtech.com/), based in Temecula CA. We have decades of software development experience and ran a car wash ourselves.\n\n**Flex Wash is an operating system for the car wash industry. We help owners manage their operations and grow their revenue.**\n\nCar washing is an industry no one ever thinks about, especially software companies. But they should! This is a $15B industry that is rapidly evolving with publicly traded companies and franchises entering the space for the first time in history.\n\n### **The Problem**\n\nCar washes have complex technology needs beyond just normal retail\n\n* 🚗 License plate recognition and tracking\n* 💰 Monthly subscription management\n* 🧑 Customer retargeting\n* ⚙️ Complex maintenance for equipment that costs up to $1M\n\nCurrent solutions in this space are\n\n* 💲 Costly, charge big upfront fees for custom hardware (up to $100K)\n* 📟 Out of date, require ancient versions of Windows on-premise servers\n* 🩼 Inflexible, software is sold in static licenses rather than as a service\n\n### **The Solution**\n\nWe offer car wash operators a system that is:\n\n* 😺 Affordable, just a monthly SaaS fee\n* 📱 Compatible with generic hardware (< $700)\n* ☁️ Runs in the cloud, operators can focus on car washing, not servers\n* 💰 Modern, we use vehicle wash history to funnel customers to high-margin subscriptions\n\n### We know this because we ran a car wash ourselves. We faced these issues first hand and that is why we got together to build FlexWash. Our solution not only saves operators money but helps them better manage operations and boost revenue.\n\n\\\n**The Ask**\n\n* **Own a car wash? … We’d love to give you a demo**\n* **Don’t own a car wash? … Refer anyone in your network, especially your favorite car wash, please.**\n* **Car wash enthusiast? … We’d love to chat.**\n\nReach us at [karan@flexwashtech.com](mailto:karan@flexwashtech.com).",
        "url": "https://www.ycombinator.com/launches/ICY-flexwash-an-operating-system-for-car-washes",
        "votes": 41,
        "created_at": "2023-03-06T18:25:19.584Z"
      }
    ]
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    "id": 27820,
    "name": "LaunchFlow",
    "slug": "launchflow",
    "former_names": [
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      "launchflow",
      "LaunchFlow",
      "infra.new",
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    "website": "https://www.launchflow.com/",
    "all_locations": "Eugene, OR, USA; Remote",
    "long_description": "Still cooking...\r\n\r\nReach out to josh@launchflow.com if you'd like early access.",
    "one_liner": "Collaborative workspace for internal tools and agents",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1675872738,
    "tags": [
      "SaaS",
      "B2B",
      "Operations",
      "AI"
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    "batch": "Winter 2023",
    "status": "Active",
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      "America / Canada",
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    "year_founded": 2023,
    "city": "Eugene",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/launchflow-inc/",
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      {
        "user_id": 808343,
        "full_name": "Josh Tanke",
        "title": "Founder",
        "founder_bio": "Previously helped scale data & ml infra at Google[X] and Google Life Sciences.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/josh-tanke",
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      {
        "id": 87449,
        "title": "Infra.new - AI Copilot for Cloud DevOps",
        "tagline": "Save money and ship faster on AWS, GCP, and Azure.",
        "body": "**tl;dr**\\\n[**infra.new**](http://infra.new) is an AI DevTool that configures your cloud infrastructure for cost and security.\n\nYou can set up your entire infrastructure stack from scratch or import your GitHub repository to optimize your existing configuration.\n\nTry it now at [**infra.new**](http://infra.new) – no signup required.\n\n![uploaded image](/media/?type=post&id=87449&key=user_uploads/808343/7e666222-a6d5-4cc8-887e-f341c3d8f10d)\n\n---\n\n---\n\n—\n\n---\n\nHey everyone,\n\nWe're excited to launch [**infra.new**](http://infra.new)—your AI Copilot for Cloud DevOps.\n\nThe cloud is complicated. Engineering teams waste countless hours configuring Infrastructure as Code, CI/CD pipelines, and other related DevOps tooling. Whether you’re setting up a new project or reconfiguring an existing one, manual configurations and unpredictable costs can slow you down.\n\nWe’re building an AI agent specialized in configuring the cloud so engineering teams can focus on shipping their product without sacrificing control or cost.\n\n### **Problems with LLMs and DevOps**\n\n* **Stale Documentation & Configuration Errors:**\\\n  LLMs often reference outdated docs and hallucinate fields that don’t exist, resulting in misconfigurations that can cost you time and money.\n* **Hidden Cloud Costs:**\\\n  A single tweak can unexpectedly spike your expenses. Without clear visibility, planning your budget is a guessing game.\n* **Lack of Context:**\\\n  General-purpose coding agents are great at updating application code, but often struggle to find the subtle connections between different configuration files.\n* **Bad Training Data:**\\\n  LLMs will generate an average of the content they see online, but the average cloud configuration online is messy and filled with bugs. Most IaC on Reddit is related to junior devs asking about their configuration.\n\n### **Our Solutions**\n\n* **Fresh Documentation:**\\\n  The agent pulls the latest documentation for Terraform, GitHub Actions, and other tools before every change, ensuring your configurations are accurate and current.\n* **Real-Time Cost Calculator:**\\\n  You can see a complete breakdown of your cloud costs update in real-time as your configuration changes, so you know exactly how much it will cost before you deploy.\n* **Automated Error Detection & Fixes:**\\\n  A dedicated language server scans your configuration for issues and applies fixes automatically, reducing manual debugging.\n* **Expert-Guided Best Practices:**\\\n  The agent has access to a corpus of expert human examples that it references to produce configuration that is optimized for performance and security.\n* **Two-Way GitHub Sync:**\\\n  Import your existing Terraform, see what it currently costs, ask the agent to look for optimizations, then export any changes back to GitHub.\n\n### **Demo**\n\nWatch me use [infra.new](http://infra.new) to reduce our AWS bill from $400 to $150 with little to no effort in the video below\n\n[Infra.new](http://Infra.new) [Demo - AWS](https://www.loom.com/share/3b7d85b25fd94cfd93ca19c39c188618?sid=f9ca58ca-6bd3-4b97-bd3b-46c842ea8160)\n\n### **Contact Us**\n\nIf you have any questions or feedback, please feel free to reach out!\n\nEmail the founders at [founders@launchflow.com](mailto:founders@launchflow.com) or book some time to chat at <https://calendly.com/josh-from-launchflow/chat>",
        "url": "https://www.ycombinator.com/launches/MkT-infra-new-ai-copilot-for-cloud-devops",
        "votes": 18,
        "created_at": "2025-02-05T19:28:23.002Z"
      },
      {
        "id": 82326,
        "title": "LaunchFlow - A Terraform / Pulumi alternative for Python developers",
        "tagline": "Automate infrastructure on GCP and AWS with Python",
        "body": "[**LaunchFlow**](https://launchflow.com/) is an Infrastructure as Code Python SDK that extends OpenTofu with features like [**multi-environment support**](https://docs.launchflow.com/docs/concepts/environments), [**autoconfigured infrastructure clients**](https://docs.launchflow.com/docs/concepts/resources), and [**API release management**](https://docs.launchflow.com/docs/concepts/services).\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82326&key=user_uploads/808343/d6958b07-d5be-4547-b751-173b033339c5)\n\nYou can add GCP / AWS infrastructure to your app with a single line of code - all infrastructure types ship with built-in clients that automatically connect to your infrastructure across multiple environments. Includes integrations with [**FastAPI**](https://docs.launchflow.com/docs/framework-guides/fastapi), [**Flask**](https://docs.launchflow.com/docs/framework-guides/flask), and [**Django**](https://docs.launchflow.com/docs/framework-guides/django).\n\n**Try it out**\n\nIt only takes 3 commands to launch your first app to GCP or AWS\n\n1. install the Python SDK with pip\n\n   ```\n   $ pip install launchflow \n   ```\n2. setup launchflow in any Python project\n\n   ```\n   $ lf init \n   ```\n3. deploy everything used in your code to GCP / AWS\n\n   ```\n   $ lf deploy {env} \n   ```\n\nFollow the [**Get Started Guide**](https://docs.launchflow.com/docs/get-started) to launch an example FastAPI app in a matter of minutes.\n\nNo account required.\n\n**Easily collaborate with your team**\n\nLaunchFlow Cloud is an optional service you can use to create collaborative cloud environments that automatically share infrastructure, configuration, and secrets with your team. You can also access preconfigured GitHub release pipelines, audit logs, RBAC security, and more.\n\n![](https://www.launchflow.com/_next/image?url=%2Fhome%2Fconsole.png&w=2048&q=75)\n\nYou and a teammate can try LaunchFlow Cloud 100% free forever - signup at [**console.launchflow.com**](http://console.launchflow.com/) to get started.\n\n**Contact us**\n\nIf you are interested in anything mentioned above, we would love to hear from you!\n\nYou can email us at [**team@launchflow.com**](mailto:team@launchflow.com) or book some time on [**my calendar**](https://calendly.com/josh-from-launchflow/chat).\n\nHappy launching! 🚀",
        "url": "https://www.ycombinator.com/launches/LPq-launchflow-a-terraform-pulumi-alternative-for-python-developers",
        "votes": 4,
        "created_at": "2024-07-22T20:54:00.610Z"
      },
      {
        "id": 80185,
        "title": "LaunchFlow: A better developer experience on GCP and AWS",
        "tagline": "The easiest way to build Python apps on GCP and AWS",
        "body": "## **TLDR**\n\n[**LaunchFlow**](https://www.launchflow.com/) manages cloud environments in your own GCP / AWS account that are secure, scalable, and cost-effective by default. Import Postgres, Redis, and other cloud resources in your Python code, then deploy everything to your cloud with a single command.\n\n—\n\nLaunchFlow is an [**infrastructure-from-code**](https://infrastructurefromcode.com/) tool that aims to dramatically improve your developer experience on GCP and AWS. We automatically deploy infrastructure to dedicated environments in your cloud as you use it in your code and ensure it's configured for both local development and production deployments.\n\n## **The Problem**\n\nWe believe managing and using cloud infrastructure is far more complex than it should be. It's hard to set up deployment pipelines. It's frustrating to run your application locally. It's annoying to keep your cloud configuration in sync with your application code.\n\nMost teams cobble together their own DevOps automations using a mixture of Terraform, Pulumi, custom scripts, and environment variables. These automations are great when they work but are often brittle and eventually become the main source of overall system complexity.\n\nWe believe there's a better way.\n\n## **The Way**\n\n![](https://lh7-us.googleusercontent.com/86TIu-MtInbRpmbfJWeL50XX54rQ0LV8KadWXaHHZJyZ9pmJ6ZMCKUwHoDLmDDukyiDubynyYQShtBsOLdrrdf08-ZYYEflSKKUIhrb7x9OY8YMNs_OBI_0ydBleeUpuU-jZqe2ycmB_N-PynbDzc7U)\n\nUse LaunchFlow’s Python SDK to import Postgres, Redis, and other cloud resources in your Python code, then deploy everything to dedicated environments in your cloud with a single command.\n\nEverything in the LaunchFlow ecosystem is fully configured for local development and cloud deployments by default.\n\n**Environments**\n\nLaunchFlow **deploys** and **manages** your infrastructure inside [**Environments**](https://docs.launchflow.com/docs/concepts/environments) that run in your own cloud account. These Environments satisfy most compliance requirements by default and are automatically configured for cost, security, and reliability.\n\n![](https://lh7-us.googleusercontent.com/Qa6mHTluFv0JTJqD6JwWs9vzQHmZxtn5j54fqvXUTmieIg20B7nBtZIrTOJ3SquGLPJaYtHvGHUKMuHOmv1zLJge7zLy5KYr8pNzmeSX3abNorK2DQ3I2_2iV6qNP6bRMsh80d1jZFUpjUmAURGpLcY)\n\n**Resources**\n\nYou can **create** and **connect** to cloud [**Resources**](https://docs.launchflow.com/docs/concepts/resources) in an Environment by simply importing them into your code. Our SDK provides ready-to-use client APIs for every Resource so you can immediately start using them in your application both locally and when deployed.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80185&key=user_uploads/808343/085c12a5-8f53-44b9-8a97-1799f53ff2f4)\n\n**Deployments**\n\nYou can **build** and **deploy** Python applications in the same environment as your resources with a single command. LaunchFlow [**Services**](https://docs.launchflow.com/docs/concepts/services) lets you deploy your APIs to GCP / AWS with all resource permissions and networking settings automatically configured. We will be adding Jobs and Notebook deployments in the next couple of months.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=80185&key=user_uploads/808343/b7c23093-c085-4a3d-97ac-60ebb78d92f5)\n\n## **Works anywhere that Python runs**\n\nLaunchFlow Resources manages its own configuration and can be plugged into any existing Python app. We’re framework-agnostic and work anywhere that Python runs - we also include a library of common utilities for building FastAPI, Flask, and Django apps on the cloud.\n\n## **Why not just use Terraform / Pulumi?**\n\nTools like Terraform and Pulumi make it easy to automate cloud infrastructure, but there is still an added cost of maintaining a separate IaC tool and keeping it in sync with your application encode.\n\nOn top of this, these tools only help you create the infrastructure, but they don't help you actually _use_ it. Engineers can spin up infrastructure in a few minutes, but they'll often spend the rest of the day (or longer) stumbling through docs and blogs, trying to figure out how to actually connect it to their application.\n\nThings only get worse once you add a release pipeline into the mix and now need to figure out how to structure your code to work across multiple environments.\n\nThis creates a tradeoff between automation and overall system complexity, which is why many teams put off IaC practices until they can afford a DevOps engineer/team to maintain the automations for the company.\n\n## **Our ask**\n\nWe are looking for pilot users who would like to start using LaunchFlow today.\n\nIf you’re interested in using LaunchFlow, please email me at [**josh@launchflow.com**](mailto:josh@launchflow.com) or schedule a demo call using my [**Calendly**](https://calendly.com/josh-from-launchflow/one-on-one-with-josh-founder).\n\nHappy launching! 🚀",
        "url": "https://www.ycombinator.com/launches/KrJ-launchflow-a-better-developer-experience-on-gcp-and-aws",
        "votes": 8,
        "created_at": "2024-04-15T17:39:39.355Z"
      }
    ]
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    "id": 27897,
    "name": "TableFlow",
    "slug": "tableflow",
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    "website": "https://tableflow.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "TableFlow builds AI teammates for data tasks, helping operations and data teams automate the messy, manual tasks buried in PDFs, spreadsheets, images, and emails.",
    "one_liner": "AI Teammates for Data Tasks",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1676487521,
    "tags": [
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      "SaaS",
      "Data Engineering",
      "Automation",
      "AI"
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    "url": "https://www.ycombinator.com/companies/tableflow",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/tableflow.json",
    "year_founded": 2022,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tableflowhq",
    "x_url": "https://x.com/tableflow",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/tableflow",
    "github_url": "https://github.com/tableflowhq",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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        "user_id": 405594,
        "full_name": "Mitch Patin",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO at TableFlow. Early engineer at Bolt (transitioned to product). First product hire at Heymarket.\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/mitchpatin/",
        "x_url": "https://twitter.com/mitchpatin",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1951bf8df013b0f7a0a692a6e5c288aa4392e57c.jpg"
      },
      {
        "user_id": 1166460,
        "full_name": "Eric Ciminelli",
        "title": "Founder",
        "founder_bio": "Co-founder and CTO at TableFlow. Early engineer on the commerce team at Facebook. First full-stack engineering hire at Heymarket.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/ericciminelli/",
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      {
        "id": 73464,
        "title": "🛶 TableFlow: AI Document Processing",
        "tagline": "Extract, transform, and validate data from any file: CSV, PDF, and more",
        "body": "### TL;DR\n\nTableFlow enables enterprises to extract and transform unstructured data from CSVs, PDFs, images, and web pages. Instead of spending time on manual data entry and validation, teams use TableFlow to automate these tasks with AI.\n\n![uploaded image](/media/?type=post&id=73464&key=user_uploads/405594/c161bc5a-7c2f-45d1-8e93-39ea826fc6a6)\n\nHi everyone, we’re Eric and Mitch from [TableFlow](http://tableflow.com)! 👋\n\n### Problem\n\nMany companies rely on spreadsheets, PDFs, and other file types to import partner or customer data, which exists in a variety of formats. This difficult and time-consuming process often leads to companies relying on a combination of in-house tooling and manual work to migrate the data. This becomes even more problematic when ingesting hundreds or thousands of files a week.\n\n### Solution\n\nTableFlow handles the file import process with automated pipelines that use AI to map, extract, transform, and validate data.\n\n**How it works:**\n\n1. Define your destination schema in our app. These are the columns and data types that you want to transform data to.\n2. Import a file via our API.\n3. Receive a webhook when the file finishes processing (takes \\~10 seconds, even with 100k+ records). This will include any errors, such as a required field being missing.\n4. Optional: Review the imported data in our application before continuing.\n5. Import the cleaned, transformed data into your system.\n\n[Demo Video](https://www.loom.com/share/a07bfd2c55454127afa44df31a973c81?sid=42c402db-1ee5-4886-a009-484bcdc1df3a)\n\n### TEAM\n\nWe met while working at Heymarket, a Series-A startup in SF. Mitch was the first product hire, and Eric was the first full-stack engineer. During our two years there, we co-owned many projects and defined many of the engineering & product processes to help the company scale. We became friends outside of the office by talking about startups, tennis, pickleball, and mountain biking.\n\n[Mitch](https://www.linkedin.com/in/mitchpatin/) started his career as an engineer before moving to the dark side (product 😛). He previously worked at GE Digital and Bolt and founded a company focused on B2B payments.\n\n[Eric](https://www.linkedin.com/in/ericciminelli/) is a software engineer who previously worked at Facebook and myMatrixx and co-founded a company that created a search engine for car shopping online.\n\n### Asks\n\n💌 If your team handles recurring imports of data in different schemas and formats, we’d love to hear about the problems you’ve encountered. Just leave your info [here,](https://tableflow.com/join-waitlist) and we’ll reach out!",
        "url": "https://www.ycombinator.com/launches/J6u-tableflow-ai-document-processing",
        "votes": 122,
        "created_at": "2023-07-26T20:36:20.772Z"
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    "name": "Ariglad",
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    "website": "https://www.ariglad.com/",
    "all_locations": "Vancouver, BC, Canada; Remote",
    "long_description": "Founded in Vancouver, British Columbia, Ariglad The first AI platform that integrates with support channels and release notes to auto-maintain your knowledge base. Ariglad suggests new articles, updates existing ones, detects duplicates, and merges them. Basically, it puts your knowledge base maintenance on auto-pilot.\r\n\r\nThis is led by Co-Founders Sophie and Ali. They are both completely obsessed with this problem and their customers, who have partnered with Ariglad to become immensely more efficient.",
    "one_liner": "Knowledge base maintenance on auto-pilot",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1668613882,
    "tags": [
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      "B2B",
      "Customer Success",
      "Customer Service",
      "Customer Support"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/ariglad",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/ariglad.json",
    "year_founded": null,
    "city": "Vancouver",
    "country": "CA",
    "linkedin_url": "https://www.linkedin.com/company/ariglad/?viewAsMember=true",
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        "full_name": "Sophie Wyne",
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        "full_name": "Ali Avci",
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        "id": 70496,
        "title": "Mantys: ARR reporting and forecasting tool for SaaS companies",
        "tagline": "Mantys helps SaaS companies calculate and forecast their ARR accurately in real time without using multiple spreadsheets.",
        "body": "Hey everyone!\n\nWe are excited to Launch [Mantys](https://mantys-new-d3fdb94a4d5f489b27ad571898cf.webflow.io/#top) to all of you!\n\nMantys helps SaaS startups get **real-time visibility of their ARR Cycle**. If you struggle to know what your contracted, live and realised ARR are at given point of time or need to go through a lot of manual effort to reach there, we can help you.\n\n**Problem:**\n\nAs companies grow, revenue is not just revenue, it is Contracted ARR, Live ARR, Realised ARR, Churn, expansion, etc. and it becomes increasingly difficult to keep a track of them due to:\n\n* **Data sitting in disparate locations:** Contracted ARR sits in CRM(Salesforce/Hubspot), Billed ARR sits in a billing software(Stripe, Chargebee), Churn sits in CS software(Gainsight) or Excel sheets, so on and so forth.\n* **Most of the tracking ends up happening in Google/Excel sheets** which leads to dependency on individuals, high chance of errors and inability to handle multi-dimensional data\n* **Difficult to forecast complex business models:** SaaS has matured and there are complex pricing models like usage based, hybrid emerging which makes customer level forecasting even more difficult.\n\nAs a result, founders/CFOs are not able to answer fundamental questions like what their ARR is, how much is actually realised, what is the onboarding cycle, how will it impact cash flow etc. at any given point of time leading to governance issues and lack of actionable insights. **It takes them 5-7 days every month to just compute revenue metrics.**\n\n![Twitter 上的Chetan Puttagunta：\"There's ARR and then there's ARR  https://t.co/XMKKkooAsM\" / Twitter](https://pbs.twimg.com/media/E34eGfvUUAADQ6C.jpg)\n\n**The solution**\n\nMantys helps SaaS companies calculate and forecast their ARR accurately in real time without using multiple spreadsheets. For example, NextBillion uses Mantys to pull data from HubSpot and Chargebee and create real-time views of their Contracted ARR, Billed ARR, Churn, and forecasted ARR.\n\nWe enable them to:\n\n* **Establish a single source of truth and automate processes:** Integrate with CRM, Accounting and Billing software to get real time visibility of your Contracted ARR, Billed ARR, Realised ARR, Unearned ARR, Expansion, Contraction, Churn, etc., broken down at customer & cohort level and use the data cleaning layer to reduce 80% of manual effort\n* **Get actionable insights and take corrective action faster:** Know the exact cycle between Contracted to Billed to Realised and reasons for discrepancies for different dimensions like time period, region, industry, etc,. and take actions preemptively to avoid accidents\n* **Simulate different what-if scenarios in minutes and forecast:** Build different scenarios to see how Bookings will translate into billing and cash flow and forecast at a customer/cohort level taking into consideration both revenue and usage data\n\n**We know every business is complex and has it nuances. We have however, solved this problem for multiple Series A+ SaaS companies like MoEngage, Locus, etc. and have identified patterns for data cleaning and transformation across businesses. And we know how to handle them.**\n\n* Recording Unbilled or unearned entries? Just enter on the system\n* Usage based revenue? Integrate your usage data\n* Don’t have a common identifier across systems? We can handle it.\n* Multiple entity or currency issues? Don’t worry, we will convert it.\n\nAnd we provide best-in-class templates which help SaaS startups get up and running in days with very minimal effort involved from their end.\n\n**Our ask:**\n\n* Have trouble figuring out your ARR lifecycle? Schedule time to chat here: <https://calendly.com/kriti-25/kritiarora_mantys>\n* If you know any growth stage SaaS company who might be a fit, please introduce us.",
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        "created_at": "2023-03-23T15:07:20.443Z"
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        "title": "Mantys - Modern day business planning & analytics tool for SaaS startups! 🚀",
        "tagline": "Helps companies take real-time data-backed decisions and plan growth scenarios.",
        "body": "👋🏼 Hello! We are Mantys and we are a Business Planning & Analytics tool with a focus on helping SaaS startups get **real-time visibility of their ARR Cycle**. If you struggle to know what your contracted, live and realised ARR are at given point of time or need to go through a lot of manual effort to reach there, we can help you.\n\n**The Problem** \\\nAs companies grow, It becomes increasingly difficult to track and forecast their Contracted ARR, Live ARR, Realised ARR, Churn, expansion, etc. due to:\n\n* **Data sitting in disparate locations:** Contracted ARR sits in CRM(Salesforce/Hubspot), Billed ARR sits in a billing software(Stripe, Chargebee), Churn sits in CS software(Gainsight) or Excel sheets, so on and so forth.\n\n\n* **Most of the tracking ends up happening in Google/Excel sheets** which leads to dependency on individuals, high chance of errors and inability to handle multi-dimensional data\n\nAs a result, founders/CFOs are not able to answer fundamental questions like what their ARR is, how much is actually realised, what is the onboarding cycle, how will it impact cash flow etc. at any given point of time leading to governance issues and lack of actionable insights.\n\n\\\n**The Solution**\\\nThus, we are building Mantys, a SaaS platform that helps companies:\n\n* **Get and track all their real-time data** – including financial and business metrics – in one place, simulate different scenarios, get insights faster, and be empowered to plan for the future.\n* Integrate with varying sources of data (like CRM, Accounting tools, etc.) and **automate the manual processes**/grunt work (reduce the time taken to generate reports and metrics by atleast 60%):\n* **Get access to best-in-class planning and analysis templates** to reduce the onboarding time to hours than months\n\nWe know every business is complex and has it nuances. We have however, solved this problem for multiple Series A+ SaaS companies like MoEngage, Locus, etc. and have identified patterns for data cleaning and transformation across businesses. And we know how to handle them.\n\n![uploaded image](/media/?type=post&id=68546&key=user_uploads/770036/8670ac5e-9582-422d-a086-922d5d9b259e)\n\n**Who we are**\n\nKriti worked with a growth-stage VC fund in the past and helped a lot of portfolio companies build their MIS and plans and Mudit worked on creating data pipelines and parsers at DE Shaw.\\\nWe have the required domain expertise and skills to be able to solve this problem.\\\n\\\n**Ask:**\n\nIf you are interested or know any Series A+, $6-7Mn ARR+ SaaS companies who are facing a similar challenge, we would love to talk. You can email us at [kriti@mantys.io](mailto:kriti@mantys.io) and [mudit@mantys.io](mailto:mudit@mantys.io)",
        "url": "https://www.ycombinator.com/launches/Hpa-mantys-modern-day-business-planning-analytics-tool-for-saas-startups",
        "votes": 114,
        "created_at": "2023-01-19T10:23:27.549Z"
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      {
        "id": 89682,
        "title": "Enterprise Account Executive",
        "url": "https://www.ycombinator.com/companies/pylon-2/jobs/HyTtyyB-enterprise-account-executive",
        "location": "San Francisco / New York, NY, US",
        "type": "Full-time",
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        "title": "Rebuilding Customer Support for the AI Era",
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        "title": "Pylon Raises $31M in Series B Funding",
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        "date": "Aug 22, 2025"
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        "title": "Pylon lands $17M investment to build a full service B2B customer service platform | TechCrunch",
        "url": "https://techcrunch.com/2024/08/28/pylon-lands-17m-investment-to-build-a-full-service-b2b-customer-service-platform/",
        "date": "Aug 28, 2024"
      },
      {
        "title": "Pylon wants to make it easier to manage B2B conversations in Slack | TechCrunch",
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        "date": "Jul 11, 2023"
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    "website": "https://sorted-lp.webflow.io/",
    "all_locations": "Copenhagen, Denmark; Remote",
    "long_description": "The first completely automated SaaS management software. \r\nScrap the spreadsheets and avoid slack surveys when you need to run compliance audits, provisioning users, or track unused licenses. Sorted provides visibility to admins in 2 minutes without sacrificing employee flexibility.",
    "one_liner": "Instant SaaS management",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1672841928,
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    "status": "Inactive",
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    "regions": [
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    "url": "https://www.ycombinator.com/companies/sorted",
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    "city": "Copenhagen",
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        "full_name": "Adam Ingwersen",
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        "founder_bio": "Tinkerer based in Denmark",
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        "linkedin_url": "https://linkedin.com/in/adamildk",
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        "full_name": "Frederik Ingwersen",
        "title": "Founder",
        "founder_bio": "Engineer with people skills.",
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        "linkedin_url": "https://www.linkedin.com/in/frederik-ingwersen-linnemann-a69005106/",
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    "id": 28099,
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    "slug": "unstatiq",
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      "Metahub"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5ab6c0b2089b8ff3c6420e7f4f703ae0322fb997.png",
    "website": "https://www.unstatiq.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "There are billions of dollars of hospital waste caused by inefficient, disconnected supply chains and finance data. Today, clinics are facing unprecedented backorders, recalls, and purchase verticals (medical devices, SaaS, security, commodities). We are building a single product to 10x a fragmented industry with each tool built almost 20 years ago.",
    "one_liner": "Single source of truth for your clinic's finances and supply chain.",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1675048534,
    "tags": [
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      "Finance",
      "B2B",
      "Supply Chain"
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      "America / Canada"
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      "url": "https://www.ycombinator.com/people/diana-hu"
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    "founders": [
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        "full_name": "Sachin Jaishankar",
        "title": "Founder",
        "founder_bio": "Getting the right data in the right places",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/sachinjaishankar",
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        "user_id": 558740,
        "full_name": "Nish Singaraju",
        "title": "Founder",
        "founder_bio": "Speeding up data integrations and transformations using AI. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/nish-singaraju-9472ba175/",
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    "id": 28111,
    "name": "Berry",
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    "website": "https://berryai.com/",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Berry offers an AI CSM that scales customer success for SaaS companies.\r\n\r\nEvery post-sales organization faces the challenge of scaling customer success without having to hire more. Berry combines the best of the two worlds - taking the white-glove onboarding experience and offering it at scale. \r\n\r\nOur AI CSM onboards, trains and grows accounts for you non-stop. It’s a 10x hire to your team - at a fraction of the cost.",
    "one_liner": "Scale customer success and onboarding with AI ",
    "team_size": 8,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1673362428,
    "tags": [
      "Generative AI",
      "Customer Success",
      "AI",
      "Conversational AI"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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    "regions": [
      "United States of America",
      "America / Canada",
      "Remote",
      "Fully Remote"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/berry",
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    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/berryhq/",
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        "full_name": "Ann Chan",
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        "linkedin_url": "https://www.linkedin.com/in/annchanyt",
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        "title": "Founding Full Stack Engineer - LLM, Applied AI (no prior LLM experience required)",
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        "experience": "6+ years",
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    "name": "Kyber",
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    "website": "https://askkyber.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "With Kyber, companies operating in regulated industries can quickly draft, review, and send complex regulatory notices. For example, when Branch Insurance's claims team has to settle a claim, instead of spending hours piecing together evidence to draft a complex notice, they can simply upload the details of the claim to Kyber, auto-generate multiple best in-class drafts, easily assign reviewers, collaborate on notices in real-time, and then send the letter to the individual the notice is for. Kyber not only saves these teams time, but significantly improves consistency, compliance, and personalization. ",
    "one_liner": "Instantly draft, review, and send complex regulatory notices.",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677372539,
    "tags": [
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      "SaaS",
      "Insurance",
      "Enterprise",
      "Regtech"
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
    "status": "Active",
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    "regions": [
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      "America / Canada",
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/kyber",
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    "year_founded": 2022,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/ask-kyber/",
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    "cb_url": "https://www.crunchbase.com/organization/kyber",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
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        "user_id": 271067,
        "full_name": "Arvind Sontha",
        "title": "Founder",
        "founder_bio": "Arvind Sontha is Founder & CEO of Kyber. He is a repeat founder with an entrepreneurial spirit that started in his childhood, when he started a local pet care business. Since then, his entrepreneurial endeavors have taken him across numerous industries, building in EdTech, Dating, Insurtech, and AI. During this time, Arvind also signed full-time with Google at 19, founded Subtle Curry Dating (~250k members on Facebook), and became a licensed insurance agent.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arvind-sontha/",
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        "id": 110021,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/kyber/jobs/eturrAR-forward-deployed-engineer",
        "location": "New York, NY, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$110K - $150K",
        "equity_range": "0.05% - 0.15%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": [
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      {
        "id": 79877,
        "title": "Kyber LetterGen 📝 Compose and send complex claim notices",
        "tagline": "We help claims teams instantly draft, review, and send complex notices.",
        "body": "**_tldr;_** _We make it simple for claims teams to instantly draft, review, and send complex notices to insureds, claimants, and third parties (like attorneys). With GenAI draft generation, real-time collaborative editing, integrated review workflows, and omnichannel delivery, Kyber’s LetterGen is able to supercharge the process of creating claim denial, partial denial, and settlement notices for even the most complex claims._ **Book a demo on our [website](https://askkyber.com?utm_source=ycombinator&utm_medium=launch&utm_campaign=claims_launch_yc) to learn more!**\n\n**—**\n\n# **🧨 Problem: Regulated notices are tedious and high-risk.**\n\nFor claims teams, state departments of insurance typically have very clear guidelines around the specific types of notices an insurer is supposed to provide to the parties involved. These include notices like claim acknowledgment, status updates, proactive reservations of rights, and finally, either a claim denial, partial denial, or settlement letter detailing what finally is or isn’t covered.\n\nWhile that may seem straightforward, many organizations fail to meet these requirements as adjustors struggle to efficiently write notices up to the required quality bar. Numerous carriers we’ve talked to and currently work with have audited their claims organizations and found that their teams spend upwards of **30% of their working hours** just handling these notices.\n\nWhy? Many times, these notices end up in a court of law where an unhappy claimant will sue the insurer, arguing that the notice was ambiguous.\n\n# **🎉 Solution: One platform to consolidate, collaborate, and send notices.**\n\nKyber’s LetterGen helps companies streamline their notice creation process, removing tedious overhead and minimizing risk from claimants suing companies for acting in bad faith.\n\n![](https://www.ycombinator.com/media/?type=post&id=79877&key=user_uploads/271067/33ede188-d105-4957-a9e3-5f109a3b9320)\n\nOut of the box, Kyber’s LetterGen comes with:\n\n* Automatic policy language extraction 🔍\n* Personalized draft creation powered by GenAI 🤖\n* Integrated review workflow ⭐\n* Real-time collaborative editing and commenting 💬\n* Full history and version tracking support 🕗\n* Basic template creation and management 📄\n* Progress tracking across your notice funnel 📊\n* Pre-built integrations into claims systems and mailing systems ✉️\n\n### **Our ask 🙏**\n\n* Connect us with Operations or Claims leaders at TPAs, Carriers, MGAs, or Reinsurers ➡️ [sav@askkyber.com](https://mailto:sav@askkyber.com).\n* If you or your organization operate in a regulated industry (Healthcare, Loans, Banking, Utilities, etc.) and are required to generate similar notices for third parties, we’d love to learn more ➡️ [founders@askkyber.com](mailto:founders@askkyber.com)",
        "url": "https://www.ycombinator.com/launches/KmL-kyber-lettergen-compose-and-send-complex-claim-notices",
        "votes": 21,
        "created_at": "2024-04-02T15:41:18.646Z"
      },
      {
        "id": 69780,
        "title": "Kyber - ChatGPT for enterprise support",
        "tagline": "Kyber embeds AI intelligence into enterprise support workflows to accelerate customer success teams.",
        "body": "# TL;DR Instead of digging across resources to find the right answer, Kyber provides highly specific and accurate answers right at your fingertips.\n\n### Who Is It For?\n\nAny company/enterprise that gets repeat questions about the same thing over and over again that they’ve already documented or answered.\n\n### How It Works\n\n⚡ Install our **Slack/Discord/Front/Intercom** Apps each in **two clicks**\n\n**⚙️** We’ll ingest your knowledge base (typically public documentation) and configure them into your preferred access channels\n\n**❓** Go to town asking Kyber for help on questions about your knowledge base\n\n🔍 Gain important insights into user questions and team questions, which you can then use to further refine your knowledge base\n\n🚀 Accelerate support, onboarding, and more at speed of AI\n\nDirect Response Flow:\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69780&key=user_uploads/271067/061a2882-761b-4b9d-83cf-edf2fc8ba501)\n\nHidden Response Flow:\n\n![uploaded image](/media/?type=post&id=69780&key=user_uploads/271067/98d2c6ea-889d-45a7-a4bc-33b6d11a4626)\n\n# Why We Built Kyber\n\n🤔 We started Kyber because we were frustrated with the tradeoffs that different resources and support channels provide today. At the end of the day, we realized that end users just want factually correct answers and they want them NOW.\n\nExisting resources each make tradeoffs between speed, relevance, and trust:\n\n* Documentation (Immediately available, but not easy to search or always up to date): \n  * Speed ✅\n  * Relevance ❌\n  * Trust ✅\n* Community (Friendly, but not sure if answers are trustworthy):\n  * Speed ✅\n  * Relevance ✅\n  * Trust ❌\n* Support Staff (Relevant and trustworthy answers, but usually very slow):\n  * Speed ❌\n  * Relevance ✅\n  * Trust  ✅\n\nWe help bridge these gaps by either providing your users a direct interface for help or by enabling your CX teams to quickly search and generate answers using our flows.\n\n# How Can I Try It?\n\nEmail us at [founders@askkyber.com](mailto:founders@askkyber.com)\n\nWe’ll set up a custom demo where you’ll be able to try it out firsthand on top of your chosen knowledge base. Once you’re happy, we’ll give you and your team a white-glove onboarding experience.\n\nHave any additional flows, knowledge base sources, or integrations in mind? Let us know! We’re more than happy to support it and already have a few more exciting features planned for the future (stay tuned 😉).",
        "url": "https://www.ycombinator.com/launches/I9U-kyber-chatgpt-for-enterprise-support",
        "votes": 32,
        "created_at": "2023-02-28T20:08:07.488Z"
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    "id": 28414,
    "name": "Automat",
    "slug": "automat",
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Automat is an AI automation company that replaces slow manual work and brittle legacy RPA with agents that understand context, recover from errors, and improve over time. Backed by a forward-deployed engineering team and enterprise-grade security (SOC 2, HIPAA, GDPR, ISO 27001), Automat runs reliable, human-in-the-loop automation for document-heavy industries — mortgage & lending, banking, insurance, healthcare, and manufacturing. It delivers this through two products: Automat Workforce and Automat Core.\r\n\r\nWorkforce - A digital teammate you onboard like a new hire. \r\nMeet Ace, a digital teammate with its own email, Slack, phone, and logins that works across the tools your team already uses. You reach it like a colleague (a text, a channel mention, an email, a doc comment) and it does the work end to end, asks when it needs judgment, and leaves an audit trail for everything it touches.\r\n\r\nLearn more here: https://runautomat.com/workforce \r\n\r\n\r\nCore - Managed agentic automation for enterprise \r\nManaged, AI-powered process automation for the enterprise. Automat Core replaces legacy RPA with self-healing agents that combine UI automation, AI document extraction (IDP), and API workflows in one platform. Automat's team builds, tests, and monitors every automation, so operations go live in days (not months), run reliably at scale, and cut operational costs — with human review wherever precision matters.\r\n\r\nLearn more here [https://runautomat.com/capabilities](https://runautomat.com/capabilities)",
    "one_liner": "Agentic automation that understands context, recovers, and improves.",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677178978,
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      "Documents",
      "Developer Tools",
      "Robotic Process Automation",
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      "AI"
    ],
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    "isHiring": true,
    "nonprofit": false,
    "batch": "Winter 2023",
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    "stage": "Growth",
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    "year_founded": 2023,
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    "country": "US",
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        "user_id": 415306,
        "full_name": "Lucas Ochoa",
        "title": "Founder",
        "founder_bio": "CEO at Automat | Ex:Google & Microsoft",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/lucas-ochoa-51222678/",
        "x_url": "https://twitter.com/lucas0choa",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a3460bb02cae910a8167c7a514d4b7c6208771d6.jpg"
      },
      {
        "user_id": 249452,
        "full_name": "Gautam Bose",
        "title": "Founder",
        "founder_bio": "Open Laptop, an Open Mind",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/gautambose/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6cc3e7ee978641ccc9ae1932877dff2f101c8f69.jpg"
      }
    ],
    "jobs": [
      {
        "id": 77831,
        "title": "Applied AI Engineer",
        "url": "https://www.ycombinator.com/companies/automat/jobs/JyD9j1f-applied-ai-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $220K",
        "equity_range": "0.25% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77834,
        "title": "Sales Development Representative",
        "url": "https://www.ycombinator.com/companies/automat/jobs/95CHPIW-sales-development-representative",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$90K - $130K",
        "equity_range": "0.02% - 0.05%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 77835,
        "title": "Enterprise Account Executive (Full Cycle)",
        "url": "https://www.ycombinator.com/companies/automat/jobs/WDGBMTs-enterprise-account-executive-full-cycle",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$90K - $140K",
        "equity_range": "0.02% - 0.05%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 79159,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/automat/jobs/QfHWU1w-forward-deployed-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$145K - $185K",
        "equity_range": "0.05% - 0.20%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 81081,
        "title": "Senior Software Engineer",
        "url": "https://www.ycombinator.com/companies/automat/jobs/Uak8GDJ-senior-software-engineer",
        "location": "San Francisco",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $220K",
        "equity_range": "0.05% - 0.25%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
      }
    ],
    "news": [
      {
        "title": "Automat Raises $15.5M Series A | Automat",
        "url": "https://www.runautomat.com/blog/automat-raises-15-5m-series-a",
        "date": "Nov 19, 2025"
      },
      {
        "title": "Y Combinator-backed Automat turns videos into workflow automations | TechCrunch",
        "url": "https://techcrunch.com/2023/09/06/y-combinator-backed-automat-turns-videos-into-workflow-automations/?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAMl7GrmIJwYOYFCoUcYfqNTrV0r82APvTlpVt0DMIEyjpjQS9MtJb9DFuiE2HtyaFOpOQzv4SZPUnB89Y9Lxdkdk1vXkAKBjYDjtkKkbSOpUGhc_GhcgUMy3aS5HO5L99OwXIn1t8_zFB9_NfDUPitSBQXBL-PWj4j52H5k2nzke",
        "date": "Sep 06, 2023"
      },
      {
        "title": "These Y Combinator-backed startups are trying to build 'ChatGPT for X'",
        "url": "https://techcrunch.com/2023/04/04/these-y-combinator-startups-are-trying-to-build-chatgpt-for-x/",
        "date": "Apr 04, 2023"
      },
      {
        "title": "The Top 34 Companies of the W23 Program with a focus on AI",
        "url": "https://www.cerebralvalley.com/post/a-synopsis-of-y-combinator-companies-in-the-w23-batch-of-startups",
        "date": "Mar 15, 2023"
      },
      {
        "title": "AI-led change means businesses must adopt more quickly.",
        "url": "https://russmalz.com/ai-led-change-is-forcing-businesses-to-adapt-quickly-and-the-pace-is-accelerating/",
        "date": "Feb 26, 2023"
      }
    ],
    "launches": [
      {
        "id": 117458,
        "title": "Ace from Automat: it's instinct, but for work",
        "tagline": "Hire an AI teammate with its own computer, phone number, inbox, and logins. It works inside the tools you already use and hands back finished work, not status updates.",
        "body": "Hi! Lucas here from Automat. Stoked to share what the team's been heads-down on: Ace. It's instinct, but for work. **The TL;DR: you can now hire an AI teammate.**\n\nEvery team we talk to wants AI teammates, but doesn't know how to actually put one to work. Maybe you've tried homebrewing OpenClaw or Hermes. The two usual options both whiff: traditional automation (UiPath) makes you sign up for a months-long integration project before it does one useful thing, and AI \"assistants\" hand you a wall of text, and you still go do the work yourself.\n\n**Ace is different.** You onboard it like any new hire, and it shows up where the work happens:\n\n• Forward it an email or cc its own inbox, and the draft lands in your Drive with the judgment calls left as comments.\n\n• @Ace in Slack after a call, and the summary + action items land on the opportunity.\n\n• Text it between meetings (\"move Thursday to Friday and tell them why\"), and it updates the invite, emails everyone, and confirms.\n\n• Ping it in a doc comment, or have it make a call on its own line.\n\nWhat comes back is finished work: CRM updated, email sent, invoice reconciled. When it hits a real fork in the road, it hands you the open questions instead of guessing.\n\n**Why trust it?** We spent two years automating high-volume work in mortgage, lending, and insurance, where a wrong answer is a compliance problem. Ace pairs a deterministic engine for must-be-identical work with AI for the fuzzy stuff. Every run is logged step by step, you set what needs approval, and you can revoke access like any employee's. SOC 2, encrypted credentials, role-based access.\n\n\"I really tried hard not to like this product, and I'm in love.\" — Asa Block, COO, Near Space Labs\n\n\"It's a no-brainer… Monday to Friday you won't believe how much more stuff you get done.\" — Jack Miller, President &amp; CEO, T3 Sixty\n\n## Our asks 🙏\n\n• Try Ace: One month free with unlimited usage for the YC community only. Sign up here:(<https://runautomat.com/workforce>) Use the promo code: ACEYC30\n\n• Intros: Know a team drowning in admin across a dozen systems? Send them our way.\n\n• We're hiring! <https://runautomat.com/careers#roles>",
        "url": "https://www.ycombinator.com/launches/UYU-ace-from-automat-it-s-instinct-but-for-work",
        "votes": 1,
        "created_at": "2026-09-30T16:33:11.033Z"
      },
      {
        "id": 69615,
        "title": "Automat RPA  - Robotic process automation for Chrome using ChatGPT and computer vision",
        "tagline": "Automate anything in Chrome using natural language",
        "body": "### **TLDR: Traditional automation software is slow and expensive, Automat is 10X faster and 1/10th the price. It lets operations teams automate using natural language.**\n\nHowdy y’all! Lucas here from [Automat](https://www.getlassoai.com/) - excited to share what my cofounder Gautam and I have been working on!\n\n**🧐 The problem: Traditional Robotic Process Automation is slow and expensive.**\n\nIt’s extremely time consuming and expensive to build out robot process automations using traditional tools like UiPath (\\~$66,000 per yearly license - Yikes!) not to mention the initial consultant setup fees which most people are forced to pay if they don’t have the resources in house (at the lowest end we’re talking $50,000+ per project - Double Yikes!!)\n\n💡 **Our Solution: Automat makes it 10X cheaper and faster to build any robotic process automation using natural language on chrome.**\n\nWe’re solving this by creating a platform that enables robotics process automation for Chrome using large language models and computer vision.\n\nCurrently our customers send us descriptions or videos of the processes they’d like us to automate and we use our internal tooling to quickly build out those automations.\n\nHere is one of our customer’s attended bots in action, scraping an email, looking through a prospecting tool, and saving it to a spreadsheet.\n\n![uploaded image](https://bookface.ycombinator.com/media/?type=post&id=69615&key=user_uploads/415306/a547a684-faee-4c6e-b3db-88cef800940a)\n\n\\\nWe want to let anyone regardless of timeline or budget automate the work they do by using natural language or simply sending Automat the workflow in a screen recording.\n\n**👯 A little more about us**\n\n![uploaded image](/media/?type=post&id=69615&key=user_uploads/415306/e82023cd-a7c1-4be3-8446-f2e0c2eae6f6)\n\nGautam and Lucas met on the first day of Design school at Carnegie Mellon University and have been roommates ever since:\n\n* At Google, their team was tasked with finding product applications of [LaMDA](https://blog.google/technology/ai/lamda/) in early 2020, and they built over 50+ prototypes integrating LaMDA across Google’s products and services. Eventually Gautam would go on to implement multiple demos for Google’s [first public Demonstration of LaMDA](https://www.theverge.com/2022/5/11/23065072/google-ai-app-test-kitchen-future-io-2022), the AI test kitchen.\n* They were hired together at Google’s Creative Lab as part of the [Creative Lab 5](https://www.creativelab5.com/), at Google they spent the following three years launching products like the [AI Test Kitchen](https://blog.google/technology/ai/join-us-in-the-ai-test-kitchen/), [Everyday Helper Robots](https://everydayrobots.com/), [Teachable Machine](https://teachablemachine.withgoogle.com/), the [Google Pixel Buds Pro](https://store.google.com/product/pixel_buds_pro?hl=en-US&pli=1), and most importantly a [high speed lucky charms cereal sorter](https://coral.ai/projects/teachable-sorter) 🍀\n* At Carnegie Mellon they studied Human Computer Interaction and Design. During their Junior year they created an adorable [AI robotic assistant](https://vimeo.com/270823057) that caught Google’s attention which awarded them a grant during their senior year to [research Robotics and AI](https://vimeo.com/393172151).\n\n**🙏 Our asks**\n\nAre you struggling in a deluge of repetitive or complex tasks that you wish you could hire someone for (or automate) but don’t have the budget? Send an email to [lucas@runautomat.com](https://lucas@runautomat.com) or submit a request on our [website](https://www.getlassoai.com/).\n\nDoes the above sound like someone you know? We’d appreciate intros to anyone. Let us know and we can send you over a quick intro blurb to make it an easy email to forward.\n\n**YC Special Offer:** For the first 10 YC companies that reach out we’ll waive the setup fee associated with building your automation!",
        "url": "https://www.ycombinator.com/launches/I6p-automat-rpa-robotic-process-automation-for-chrome-using-chatgpt-and-computer-vision",
        "votes": 91,
        "created_at": "2023-02-23T19:08:21.664Z"
      }
    ]
  },
  {
    "id": 28417,
    "name": "Yuma AI",
    "slug": "yuma-ai",
    "former_names": [
      "Yuma"
    ],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b5e2299b8aa66bb93182989998fcde535817370.png",
    "website": "https://yuma.ai",
    "all_locations": "Boston, MA, USA",
    "long_description": "## What is Yuma AI?\r\n\r\nYuma is automating customer support by providing an AI Support Agent orchestration platform. Yuma provides autonomous AI agents dedicated to customer service and e-commerce.\r\n\r\nWe integrate directly with help desk software (Zendesk, Kustomer, Gorgias, etc.) and focus on helping large Shopify brands deal with their high volume of support requests.\r\n\r\nTop merchants using Yuma can automate up to 80% of their support tickets fully autonomously.\r\n\r\n## Why do Shopify merchants need Yuma?\r\n\r\nThere are thousands of large Shopify merchants around the world generating $10M+ a year. Most of them have taken over some niches and are great at what they do: selling their products.\r\n\r\nBut they all have one thing in common: they all hate customer support. It's a burden for them and a huge source of cost, as they receive hundreds of requests per day. Some of them have dozens of support agents on staff, usually offshore, and the overall quality is still often pretty poor while staff turnover remains high.\r\n\r\nThose merchants have been promised automation for years but have always been disappointed by the outcome. As customers, we have all had to live through a terrible support automation experience before, so this is no secret, and everyone knows that the current state of the technology is quite bad.\r\n\r\n## Yuma is solving this in a few ways:\r\n\r\nYuma isn't just another RAG chatbot. Our platform provides autonomous AI agents dedicated to support and ecommerce.\r\n\r\nThese agents are powered by knowledge, follow processes, and are managed by our in-house AI orchestration technology. This ensures safety, control, and quality at every step.\r\n\r\nWe believe that to truly automate customer support, we must develop a platform that mimics the actions of a human support agent. That's exactly what we've been doing.\r\n\r\nCurrently, our top merchants are automating 60% of their support tickets through Yuma. Yuma can fetch information from external services and take actions in other apps as needed to resolve each ticket.\r\n\r\nWe are laser-focused on building the best AI support agent platform and aim to achieve 80% true automation in the next few months.\r\n\r\n## Fun Fact\r\n\r\nYuma got started by accident. This is my third YC startup after Socialcam (W12) and Triplebyte (S15). I released Yuma as a prototype for fun in mid-December 2022 and was overwhelmed with demo requests. That's when I knew I was onto something and had to turn this into a real company, once again.",
    "one_liner": "The AI Support Agent for Ecommerce",
    "team_size": 26,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1677585502,
    "tags": [
      "Customer Support",
      "AI",
      "Conversational AI",
      "AI Assistant"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2023",
    "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/yuma-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2023/yuma-ai.json",
    "year_founded": 2023,
    "city": "Boston",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/yuma-ai/",
    "x_url": "https://twitter.com/yuma_dot_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/5b5e2299b8aa66bb93182989998fcde535817370.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": 37163,
        "full_name": "Guillaume Luccisano",
        "title": "Founder",
        "founder_bio": "Currently Founder @ Yuma (W23) - Previously Co-Founder at Triplebyte (S15) & Socialcam (W12) - Seed Investor in 60+ companies.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/guillaumeluccisano/",
        "x_url": "https://twitter.com/luckwi",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0c11c755fbf5b493b7b1ddd8ea8d3ddaf32a9210.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Yuma Raises $5M to Transform Ecommerce Customer Support with Advanced AI Agents",
        "url": "https://yuma.ai/news-announcements/yuma-ai-raises-5-million-to-transform-e-commerce-customer-support-with-advanced-ai-agents",
        "date": "Oct 31, 2024"
      }
    ],
    "launches": [
      {
        "id": 116594,
        "title": "Yuma Voice: Your AI support agent now answers the phone",
        "tagline": "AI phone support for brands. Resolves requests and takes real actions, with a unified, single Handbook to define the rules for your AI agents across every channel.",
        "body": "👋 We are Yuma, YC W23, and since 2023, We have automated millions of customer conversations for retail &amp; ecommerce brands.\n\nToday we're launching Yuma Voice. The same AI agent that handles your email, chat, and WhatsApp can now answer your phone!\n\nThis one took many, many months of work and iteration from the whole team. I'm very proud to finally put it in your hands :)\n\n**Why we built it**\n\nWe have spent years teaching AI agents how to actually resolve customer requests: understand the problem, follow the brand's policies, look things up, and take the right action.\n\nWe wanted to bring all of that to the phone. But making seamless at the same time.\n\nVoice is a totally different beast. It has to be fast, accurate, and personable. One awkward pause or misunderstanding, and the customer hears it immediately. But the hardest part was making it as capable as the rest of our agents.\n\nA customer calls at 11pm to skip her next delivery. Yuma picks up, finds her subscription, confirms the change, updates it during the call, and tells her when the next delivery will arrive.\n\nThat's the experience we've been working toward.\n\n**What it does**\n\n* **Takes real actions during the call.** Update an address, cancel an order, process a return, or change a subscription while the customer is still on the line.\n* **Uses everything you've already configured.** Same knowledge, same processes, same guardrails as your existing Yuma agents. Nothing to retrain or duplicate.\n* **Speaks 30+ languages.** It can follow the customer even when they switch languages mid-call.\n* **Works on your phone number and your website.** Connect your existing telephony or add a browser call button.\n* **Hands over when it should.** You decide when to transfer to a human or collect an email for follow-up. Recordings and transcripts give your team the context.\n* **Lets you start small.** Run it after hours, on weekends, or on a portion of calls. Listen to the conversations and expand when you're comfortable.\n\nIt plugs into the helpdesk and ecommerce tools you already use, with voice conversations alongside the rest of your support activity.\n\n**Try it yourself**\n\n☎️ [Call Emily, our live demo](https://yuma.ai/voice-demo).\n\nShe handles support for Daybreak Coffee, our fictional demo store. Pick a sample customer on the page, ask to skip a shipment or change a subscription, and see how she handles it.\n\nYou can call directly from your browser. It’s that easy!\n\nPlease try it and give me blunt feedback. That's why we're launching here :)\n\n**Looking for**\n\nAre you running a retail brand with phone support, or thinking about offering it?\n\nWe would love to help you connect Yuma Voice, set up your first processes, and review the results together. Contact Guillaume, the founder below, or [book a demo](https://yuma.ai/voice-ai-agent).\n\nAnd if you know a brand whose team spends too much time handling repetitive calls, send them our way 👀\n\nContact Guillaume, the founder at g-voice-ai-launch@yuma.ai for priority setup.\n\n**What else does Yuma do?**\n\nYuma brings your entire customer service operation into a single platform. Email, chat, social, WhatsApp, and now voice, with AI agents handling both inbound and outbound conversations across every channel.\n\nWhether customers contact you or your agents reach out first, it all runs through Yuma. A single Handbook defines the rules, and a single tool lets you manage the full customer experience.\n\nYuma is AI for CX infrastructure.\n\n![uploaded image](/media/?type=post&id=116594&key=user_uploads/37163/9dbfb2d6-b738-4f4f-9c3b-ebe6a3213fd1)\n\n",
        "url": "https://www.ycombinator.com/launches/UKY-yuma-voice-your-ai-support-agent-now-answers-the-phone",
        "votes": 3,
        "created_at": "2026-09-23T21:00:25.732Z"
      },
      {
        "id": 99564,
        "title": "Ask Yuma: The AI that runs your entire support operation",
        "tagline": "Commerce brands can now build automations, investigate ticket issues, find optimization opportunities, and generate reports by talking to their AI platform in plain English.",
        "body": "👋 We are **Yuma (YC W23)**, the AI agent layer for commerce CX. We started building on OpenAI's Davinci model in late 2022 and have processed millions of customer conversations for 100+ commerce brands since.\n\nToday we are launching **Ask Yuma**. Think Claude Code, but for your entire CX operation. A conversational AI built into every page of the Yuma dashboard.\n\n**Demo video:**\n\n<https://youtu.be/qqc3XGCEHAc?si=8X4Lx4DatRe1fJMX>\n\nAsk Yuma knows your entire support operation: tickets, automations, knowledge base, metrics, integrations, brand voice. You tell it what you want in plain English. It does the work.\n\n**Why we built it**\n\nSince 2023, Yuma has automated millions of customer interactions for commerce brands. Our best merchants automate 93% of their customer conversations. The automation works.\n\nBut configuring it was still painful. Merchants had SOPs in Google Docs they couldn't turn into live automations without our help. They wanted to investigate why a ticket was handled wrong but had to file a request and wait. They knew there were more tickets to automate but finding them meant hours of manual digging.\n\nThe dependency on our team was the bottleneck. So we built Ask Yuma: one conversational interface that puts all of that in the merchant's hands, with our team still there when they need us.\n\n**What it does**\n\n**Build automations from documents:** Upload any SOP or process doc. Ask Yuma reads it, asks clarifying questions, generates a visual flowchart, and produces a complete automation ready to go live. What used to take days takes 1 conversation.\n\n**Find automation opportunities:** Ask Yuma analyzes your escalated tickets, ranks recommendations by impact, and links to real examples so you can verify before acting.\n\n**Diagnose issues:** Ask \"why was this ticket handled wrong?\" Ask Yuma traces the root cause through your configuration and tells you what to change.\n\n**Generate reports:** Ask for a report of every product defect reported this week. Ask Yuma searches thousands of tickets, pulls the images, and generates a PDF you can share with your exec team or manufacturer.\n\n**Monitor performance:** Track automation rate, CSAT trends, unusual spikes, and compare time periods in plain English. No dashboards to build.\n\nIt doesn't stop there. Ask Yuma finds what's broken, proposes a plan, gets your approval, implements the fix, tests it in a sandbox, and verifies it worked.\n\nIn just 1 week of internal release, Ask Yuma has seen 60% adoption among existing merchants.\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/ccaf771b-aa36-4429-930f-2f22e68be888)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/1ddfc2a1-f617-4280-932b-329fa2945bd5)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/150191ac-4804-4fc7-987c-e1fe19abba26)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/0b951c2a-8621-4c37-8ec4-b3ee345c13bc)\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/a3d159ca-0dc6-4ef4-a161-2e77f40b28f2)\n\n**Looking for**\n\nCommerce brands running support automation that want to move faster without the manual work. We will connect Ask Yuma and help you find automation opportunities on day one. Reach out to Guillaume (founder) at [g-social-ai-launch@yuma.ai](mailto:g-social-ai-launch@yuma.ai).\n\n**What else does Yuma do**\n\nYuma is a full AI agent infrastructure for commerce brands. Beyond Ask Yuma, we offer autonomous support agents, a sales AI widget for product pages, social media comment automation, deterministic workflow builder, and deep ticket analytics. All connected, all powered by the same orchestration layer.\n\n**What should we build next?**\n\nWe are working on automated weekly process recommendations, scheduled reports, and MCP integration so you can use Ask Yuma directly inside Claude and other AI tools. Tell us what workflow you wish you could ask your support data about. We build based on what brands need most.\n\n![uploaded image](/media/?type=post&id=99564&key=user_uploads/37163/a4887f0d-d8f8-4894-95ee-7b0156b779a9)\n\n",
        "url": "https://www.ycombinator.com/launches/Pts-ask-yuma-the-ai-that-runs-your-entire-support-operation",
        "votes": 19,
        "created_at": "2026-04-08T14:39:18.485Z"
      },
      {
        "id": 98153,
        "title": "Social AI: Put E-commerce Social Media on Autopilot",
        "tagline": "Safely automate social media moderation across Facebook, Instagram, and TikTok.",
        "body": "👋 We are Yuma, YC W23. Since 2023, we've automated over 5 million customer interactions for leading e-commerce brands with Support AI and Sales AI. Today we're launching our newest product: **Social AI**\n\nSocial AI puts your brand's social media comments on autopilot. It connects to your Facebook, Instagram, and soon TikTok pages, ingests every comment in real time, classifies each one by intent and sentiment, and acts based on automation rules you define. In early testing, Social AI safely automates up to 60% of repetitive social media moderation.\n\n**Why this matters**: because social comments are one of the last unmanaged channels in e-commerce. They're public, they shape brand perception, and most teams have no system for handling them. And \"safely\" matters here. One careless AI reply on a post can reach thousands of eyes in minutes.\n\n**Why we built it**\n\nWe kept hearing the same thing from customer support and social teams at high-growth brands: social comments are a blind spot.\n\n* \"A negative comment sits on a post for days and nobody can catch it.\"\n* \"Someone asked a product question under our Instagram ad. By the time we saw it, they'd already bought from a competitor.\"\n* \"A frustrated customer tagged us publicly. It snowballed into 40+ replies before anyone on our team even noticed.\"\n* \"A customer leaves a glowing comment and we don't even say thank you.\"\n* \"We have 1 person manually scrolling through hundreds of comments.\"\n\nSupport tickets have tools. Social comments didn't. We've been running Social AI in private beta for the past year. Today, after a major upgrade, we're opening it up to everyone.\n\n**What's different**\n\n* Works across both paid and organic posts. Negative comments on your ads are conversion killers, and Social AI catches them before they cost you.\n* Built-in automation templates for common scenarios (reply, like, hide, flag, or skip), with the ability to create fully custom rules\n* Configurable agent persona: set the tone, verbosity, and brand guidelines so replies sound like your team wrote them\n* Advanced targeting based on the commenter's follower count, so high-profile users get the extra care they deserve\n* Crisis prevention: automatically detect and escalate comments that could spiral into bigger brand issues before they do\n* 24/7 coverage. 50% of comments are posted outside business hours and on weekends. Social AI is always on so your brand is never unprotected.\n* Safety first: every automation rule is scoped by platform, intent, sentiment, and user popularity. You stay in control of what gets automated and what doesn't\n* Real-time dashboard with engagements, automation coverage, sentiment distribution, negative exposure rate, and unanswered rate across all platforms\n\n**The demo video:**\n\n<https://youtu.be/6X6W_k6Cs8c>\n\n**Looking for:**\n\nAre you running an e-commerce brand and leaving social comments unmanaged? We'd love to help you set up Social AI, configure your automations, and track the impact with a 30-day free trial. 👀\n\nContact Guillaume, the founder at [g-social-ai-launch@yuma.ai](mailto:g-social-ai-launch@yuma.ai) for priority setup.\n\n**What else does Yuma do?**\n\nWe also offer AI agents for e-commerce support (Support AI) and a product page Q&A widget to boost conversion (Sales AI). On top of that, our platform includes a visual automation builder (Flows) and a ChatGPT-like interface for surfacing customer voice insights from support tickets (Deep Search). :)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/6d6bf373-8851-4839-9000-95026af84bc2)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/c822a5ad-30d5-47e9-8ffb-562dc987dd3f)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/fbcfd039-9496-497e-871a-2616e80c16e2)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/91b861bf-7efc-46ff-9cc7-3467f7df03ca)\n\n![uploaded image](/media/?type=post&id=98153&key=user_uploads/37163/fcb91c3e-7cbb-4c2e-b0d8-dc890d46316b)\n\n",
        "url": "https://www.ycombinator.com/launches/PX7-social-ai-put-e-commerce-social-media-on-autopilot",
        "votes": 25,
        "created_at": "2026-02-24T20:59:26.072Z"
      },
      {
        "id": 95775,
        "title": "Deep Search: Chat With Your Customer Voice",
        "tagline": "ChatGPT-style interface that turns your support ticket history into instant insights, trends, and answers.",
        "body": "👋 We’re **Yuma (YC W23)**, an AI agent platform **dedicated to e-commerce brands**. Similar to Sierra and Decagon but built for **high-volume retail support**.\n\nToday we are launching **Deep Search**, our latest innovation for unlocking **Customer Voice**.\n\nDeep Search is an **LLM-powered conversational search engine** on top of your support ticket history (your entire support **ticket cloud**). Instead of digging through dashboards or exports, you ask questions in plain language and get **clear, sourced answers** straight from recent customer conversations.\n\n### Why we built it\n\nSince 2023, Yuma has helped brands resolve **millions of support tickets**. CX teams kept asking questions that no tool could answer well:\n\n* _“Which products are generating defects or breakage complaints this week?”_\n* _“What is driving checkout abandonment and what are customers saying about it?”_\n* _“Are refund requests spiking for a specific SKU or variant?”_\n* _“What new issues are trending right now that we did not even know about?”_\n\nDashboards only show the metrics you already track. The real **Customer Voice lives in the support tickets**.\n\n### Why it matters\n\nDeep Search gives you insights **in minutes** that used to take **days of manual work** or were simply not economically viable to produce. Until today, no one had the time or budget to manually read and analyze hundreds or thousands of support tickets.\n\nNow you get that work done **instantly**. Product, CX, ops, and growth leaders can finally:\n\n* Spot **product defects** before they create churn\n* Identify **friction points** that slow or block purchases\n* Surface **refund and return patterns** across SKUs\n* Detect **trending issues early** and intervene fast\n* Ship improvements backed by **real customer data**\n* Turn support into a **compounding ROI engine**\n\nDeep Search makes your support tickets an **always-on source of business intelligence**.\n\n### What it does\n\nDeep Search:\n\n* Scans your entire **support ticket cloud** in seconds\n* Identifies themes like product defects, shipping issues, sizing confusion, checkout friction, or subscription churn\n* Surfaces patterns that teams usually miss until it is too late\n* Returns concise analysis with **real ticket snippets** you can click into\n* Supports **follow-up questions** with full conversational context\n* Generates reports on anything you ask for and **emails them on a schedule**\n* Helps CX, product, ops, and growth teams move from **reactive to proactive**\n\nDeep Search turns your support history (your ticket cloud) into a **live Customer Voice layer** you can explore, monitor, and automate.\n\nDemo video: https://www.youtube.com/watch?v=V7t4UDkFbxM\n\n### Looking for\n\nWe are looking for e-commerce brands that want to use support data for **decision-making**, not just firefighting. We will help you plug in Deep Search, define your key questions, and track the impact.\n\nContact Guillaume (the founder) at [**g-sales-ai-launch@yuma.ai**](mailto:g-sales-ai-launch@yuma.ai) for early access.\n\n### What else does Yuma do\n\nYuma also offers **AI agents for e-commerce support** and **Sales AI** for product-page Q&A. Top brands automate up to **70%** of support with us.\n\n### What should we build next?\n\nWe are adding **dynamic charts**, trend visualizations, and anomaly alerts to Deep Search. If there is something specific you want to analyze or ask from your support tickets, tell us. We are shaping the roadmap based on what brands need most.\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/423d30b5-09ea-4f68-ba9f-b4fa15c0791c)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/d934e3fb-2c75-4b73-8a80-927f38563bad)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/bddadaab-df99-4cf8-982e-ad7a8e782fab)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/66f63c0e-3481-4031-a5df-ac52ad420a0b)\n\n![uploaded image](/media/?type=post&id=95775&key=user_uploads/37163/728d3d61-5280-4837-8f01-a41a96fe5c59)\n\n",
        "url": "https://www.ycombinator.com/launches/Oul-deep-search-chat-with-your-customer-voice",
        "votes": 26,
        "created_at": "2025-11-25T17:27:47.699Z"
      },
      {
        "id": 95152,
        "title": "Flows: AI Agent Builder for Precise, Reliable Ecommerce Support",
        "tagline": "Visual Step-by-Step Builder for Ecommerce Support",
        "body": "👋 We’re **Yuma (YC W23)**, an AI support platform for e-commerce, and today we’re launching one of our biggest updates yet: **Flows**, a visual automation builder for ecommerce support.\n\n**Flows** expands Yuma’s AI agents’ capabilities with a visual builder for explicit, deterministic steps. You can now combine process-based AI agents with the reliability of a flow for faster, more precise CX automation.\n\n### **Why we built it**\n\nFor more than 2 years, Yuma has helped merchants automate customer support using our natural-language AI Agents builder, resolving over 5 million tickets to date. But as merchants grow, they need more control, advanced workflows, and precision while staying flexible and easy to maintain.\n\nThat’s why we built **Flows**, a visual, step-by-step builder that adds structure, clarity, and reliability to AI automation.\n\n### **What it does**\n\nFlows let merchants visually define how an SOP (Standard Operating Procedure) runs, step by step and action by action. Each step is visible, enforced, and powered by a mix of good old hard code and LLMs.\n\nFlows combine quick ramp-up and adaptability with _strict step-by-step control_ where it matters.\n\nWith Flows, you can:\n\n* Build if/then logic visually with guaranteed execution\n* Combine AI conversations and deterministic rules\n* Review and debug complex automations in minutes\n* Gather clear insights and metrics on automation paths\n* Use hooks and ordered API & CRM calls for full consistency\n\n### **Why it matters**\n\nFlows make automation more reliable and easier to maintain. It brings three major advantages:\n\n**Step-by-step precision:** Every action runs exactly as designed, with enterprise-grade reliability you can trust.\\\n**Visual clarity:** Instantly see, review, and debug every step of your automations, no guessing or black boxes.\\\n**Hybrid flexibility:** Combine LLM adaptability with structured, reliable workflows for the best of both worlds.\n\nThe result is higher accuracy, fewer escalations, and faster resolutions, all in a visual format you can refine in minutes.\n\n### **The demo video**\n\nhttps://www.youtube.com/watch?v=6J1OMGCM2v0\n\n### **Looking for**\n\nWe’re looking for merchants and DTC brand owners who want to test **Flows** and share honest feedback 👀\n\nWe’ll help you build your first Flow, monitor accuracy, and measure results.\n\nContact Guillaume, the founder, at [g-sales-ai-launch@yuma.ai](mailto:g-sales-ai-launch@yuma.ai) for early access.\n\n### **What's Yuma's full suite of products?**\n\nFlows is part of Yuma’s full suite. Top brands automate up to 70% of support with us. With 3 main products — Support AI, Sales AI, and Social AI — we integrate with helpdesks like Gorgias, Zendesk, Kustomer, Gladly, Front, and Salesforce (I know, even Salesforce!!) to automate support, pre-sales, social interactions, and more.\n\n—\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/6ae22e52-741e-4ce1-a0e9-29a0a97e0d0e)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/e54a55a9-7f35-482b-baa9-bdea778b5756)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/c9fda7bd-d74f-467d-ba7d-42b307853b99)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/9a74d334-e177-4566-b67c-34ba665342ff)\n\n![uploaded image](/media/?type=post&id=95152&key=user_uploads/37163/61460ccb-56b7-4392-86de-2781fb526ec3)\n\n",
        "url": "https://www.ycombinator.com/launches/Oki-flows-ai-agent-builder-for-precise-reliable-ecommerce-support",
        "votes": 26,
        "created_at": "2025-11-04T16:15:37.558Z"
      },
      {
        "id": 94117,
        "title": "Sales AI: Shopify product Q&A widget that boosts revenue",
        "tagline": "AI-powered PDP widget that answers shoppers' hesitations instantly",
        "body": "👋 We are Yuma, YC W23. Today, on top of already automating customer service for more than a hundred merchants, we are launching our latest product: **Sales AI**\n\nSales AI is a product Q&A widget dedicated to Shopify. It sits on each PDP (product page), suggests the top questions a shopper is likely to ask, and answers instantly. If they want more, a lightweight chat opens with a fuller answer. From there, they can add to cart inside the chat or get more recommendations.\n\nWhy this matters: because the future is shopping, not chat! Shoppers want info delivered to them before they ask for it! Most drops happen on PDPs because of missing information.\n\nSales AI reduces that friction and in controlled A/B tests lifts conversion by up to 14%! It also records what people asked, which answers helped, and where they still hesitated, so as a brand, you see the \"why\" behind purchases and bounces.\n\n**What’s different:**\n\n* Tailored FAQs per product and per visitor behavior\n* Uses your existing Shopify data + policies + prior support knowledge\n* A/B test friendly; 2-click to install; doesn’t slow the site\n* Full dashboard & insights with Yuma-driven revenue/purchases, impressions, interaction rate\n\nOne of our early partners, **Parachute Home**, credits the product with improving both customer experience and revenue. “Our shoppers love the interactive FAQ widget. They get answers fast, and on desktop, in one A/B test, we saw our Revenue Per Visitor increase +18% and our Average Order Value +4% - Mehdi Ait Oufkir, CEO of Parachute Home.”\n\n**The demo video:**\n\nhttps://www.youtube.com/watch?v=XcRN5GQ89hk\n\n**Looking for:**\n\nDo you own any D2C stores with a bit of traffic and are you willing to try Sales AI and give us blunt feedback? 👀 We'll help set it up, watch the numbers with you, and iterate!\n\nContact Guillaume, the founder at [g-sales-ai-launch@yuma.ai](mailto:g-sales-ai-launch@yuma.ai) in order to get priority setup.\n\n**What's Yuma's other product?**\n\nWe also offer AI agents dedicated to support and e-commerce! Our top brands automate up to 70% of their CX with us. :)\n\n---\n\n—\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/94fdd8b0-4e7c-49a1-ab95-e106140292fa)\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/629d91f1-ea82-4fc2-80b5-bfbb02fb8e9b)\n\n![uploaded image](/media/?type=post&id=94117&key=user_uploads/37163/90ddadbc-e5bf-4e47-9d63-872b6696607f)\n\n",
        "url": "https://www.ycombinator.com/launches/OU1-sales-ai-shopify-product-q-a-widget-that-boosts-revenue",
        "votes": 35,
        "created_at": "2025-09-25T14:30:35.251Z"
      },
      {
        "id": 84121,
        "title": "Yuma: AI agents for e-commerce customer service",
        "tagline": "The leading AI-powered CX automation platform.",
        "body": "↗️ support quality & consistency. ↗️ customer satisfaction. ↗️ cost-efficiency.\n\n**TL;DR**\n\nMillions of E-commerce merchants share the same pain: costly and inefficient customer support that deteriorates customer loyalty. [Yuma](https://yuma.ai/) is on a mission to automate 100% of your support tickets and change customer support for good. Merchants love Yuma AI for its accuracy and industry-leading automation rate.\n\n## The Yuma Story\n\nI'm G, and I'm delighted to re-introduce Yuma.ai, my 3rd company - after Socialcam (W12) and Triplebyte (S15)!\n\nYuma was launched by accident 🤷‍♂️. After I released a prototype in December ‘22, my inbox was inundated with requests from Shopify merchants, and I decided to retake the startup route.\n\nI did YC once more in W23 with Yuma as an AI co-pilot for customer support agents, but things have changed rapidly since then. We are now a full-grown, fully automated AI Agent orchestration platform.\n\nToday, Yuma has over 100+ paying merchants who choose Yuma.ai for its unmatched accuracy, dedicated customer support, and industry-leading automation capabilities (over 50% of automated - and successful - ticket resolutions).\n\nWe’re building a world where businesses will never worry about customer support again, and we’re turning Yuma.ai into the most advanced Customer Support platform.\n\n![Industry Leading CX Automation rate with AI](/media/?type=post&id=84121&key=user_uploads/37163/03444e47-ceae-435b-83da-8663b1be3da0)\n\n---\n\n—\n\n## Top benefits from real users:\n\n* Achieve up to **50% full automation** of all your support tickets. - [**Learn how Petlibro did it**](https://yuma.ai/case-studies/how-petlibro-achieved-49-automation-and-saves-20-annually-with-yuma-ai)\n* Achieve **4X ROI** on your investment in Yuma AI - [**Learn how MyVariations did it**](https://yuma.ai/case-studies/myvariations)\n* Reduce first-response-time **(FRT) by 87%** - [**Learn how MFI Medical did it**](https://yuma.ai/case-studies/how-mfi-medical-cut-first-response-time-by-over-87-and-automated-45-of-customer-inquiries-with-yuma-ai)\n* Reduce monthly support **cost by 33%** - [**Learn how MyVariations did it**](https://yuma.ai/case-studies/myvariations)\n* Be **available 24/7** and manage demand spikes - [**Learn how Omnie did it**](https://yuma.ai/case-studies/omnie-and-yuma-ai-reshaping-e-commerce-customer-service-together)\n\n—\n\n![Top Merchants having success with Yuma.ai](/media/?type=post&id=84121&key=user_uploads/37163/1f000682-b3e9-4669-8764-bf0060fa8cda)\n\n## Reasons to use Yuma\n\n* Unlimited processed tickets, only charged on a full-automated-resolution basis.\n* Dedicated support regardless of plan, through exclusive Slack channels.\n* Access to the best AI models, even for small plans.\n* Unlimited AI Agents & SOPs\n* Natively Multi-store and Multilingual\n* Omnichannel Support: chat, email, social, etc\n* Top-notch integrations with third-party services\n\n## Our Ask 🙏\n\n**💸 Know any e-commerce businesses, CX managers, or Shopify agencies?**\n\nSend them our way—they will be forever grateful! Plus, we’re offering a referral bonus for every lead that turns into a customer.\n\nJust drop us an email at [hello@yuma.ai](mailto:hello@yuma.ai)\n\n**🛒 Own an e-Commerce store?**\n\nBook a demo and see [Yuma.ai](https://yuma.ai) in action. You will receive a white-glove onboarding experience along with a 30-day free trial. 🙂 \n\n![uploaded image](/media/?type=post&id=84121&key=user_uploads/89898/711c85bf-4427-4554-abe4-8ba5980e6022)\n\n",
        "url": "https://www.ycombinator.com/launches/Lsn-yuma-ai-agents-for-e-commerce-customer-service",
        "votes": 12,
        "created_at": "2024-09-18T17:36:12.306Z"
      },
      {
        "id": 69885,
        "title": "Yuma - ChatGPT for customer support",
        "tagline": "Yuma is using LLMs to automate support for Shopify merchants",
        "body": "**TL;DR:** _Thousands of large Shopify stores all share the same pain: a costly and inefficient customer support. Yuma leverages LLMs and integrates directly with help desks to automate away their high volume of support requests._\n\n## **The Yuma Story**\n\nHi everyone,\n\nI'm G and I'm very pleased to be launching [Yuma](https://yuma.ai), my third company!\n\n**I did YC twice before** already, with Socialcam (W12) and Triplebyte (S15). It seems like I just can't help myself, and I had to do it all over again.\n\nThis time around, however, it's a little bit special as Yuma was launched by accident 🤷‍♂️. I released a prototype in December 2022, and my inbox was inundated with installation requests from Shopify merchants. That's when I knew I was onto something, and I decided to take the plunge. Having experienced that roller coaster ride before, I know exactly what I am signing up for again and I am thrilled about the long and eventful journey that lies ahead.\n\n## **Why do Shopify merchants need Yuma?**\n\nThere are thousands of Shopify merchants around the world generating $10M+ a year, and they all have one thing in common: **they all hate customer support**. It's a burden for them and a huge source of cost as **they receive hundreds of requests per day**. Some of them have dozens of support agents on staff, usually offshore, and the overall quality is still often pretty poor, while staff turnover remains high.\n\nThose merchants have been promised automation for years, but the technology has always fallen short, leaving them disappointed. As customers, we have all had to live through a terrible support automation experience before, so it's no secret that **the available current solutions are pretty bad**.\n\n**This has to change**, and we believe that the technology is finally there to fix this problem once and for all. Of course, our goal is for Yuma to do it :)\n\n## **The main things Yuma can do for merchants today:**\n\n* **One-click install** into **help desks**: **no configuration required**, zero adoption cost, and no change in workflows for the support agents.\n* By **combining LLMs with custom knowledge bases**, Yuma suggests drafts to support agents.\n* By analyzing historical tickets, Yuma can **copy the writing style of any brand**, but also understand and **replicate their current workflows** autonomously.\n* By bringing the power of LLMs to rules and templates, Yuma delivers a new type of dynamic workflow that wasn't possible before.\n\nYuma is already live on Gorgias at the moment, and our Zendesk app will be live in a few weeks.\n\n![uploaded image](/media/?type=post&id=69885&key=user_uploads/37163/858ab524-d3ce-461b-968c-43ba41dea793)\n\n\n## **Our ask 🙏**\n\nDo a good deed today and **save a Shopify merchant in your network by telling them about Yuma**. They will be forever grateful! Not only that, they will receive a white-glove onboarding experience along with a 7-day free trial. :)\n\n— —\n\nThank you for reading!\n\n🔥",
        "url": "https://www.ycombinator.com/launches/IBB-yuma-chatgpt-for-customer-support",
        "votes": 74,
        "created_at": "2023-03-02T21:07:47.495Z"
      }
    ]
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    "name": "Elyos AI",
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    "all_locations": "London, England, United Kingdom",
    "long_description": "Elyos AI is a fully autonomous AI Agent, built specifically for trades and field services businesses.",
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    "team_size": 20,
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    "subindustry": "B2B -> Operations",
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    "isHiring": true,
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    "batch": "Summer 2023",
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    "country": "GB",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 344099,
        "full_name": "Adrian Johnston",
        "title": "Founder",
        "founder_bio": "Second-time founder. My first business (Una Brands) got to $70m ARR and raised $100m in funding.  Bachelors and Masters in Mathematics from Oxford and Masters in Public Administration (MPA) from Harvard specialising in AI policy. ",
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        "tagline": "Elyos AI is the first fully autonomous AI Customer Service Reps for trades and field services.",
        "body": "**Hey, we are Elyos AI. 👋**\n\n[**https://elyos.ai/**](https://elyos.ai/)\n\nWe’re building the first, fully autonomous AI Customer Service Reps, built specifically for trades and field services.\n\nWe are already working with leading trades and field services businesses across the world, taking thousands of calls daily with our fully autonomous AI Agents.\n\n**The Problem**\n\nOur founders have been working in the field services space for nearly a decade.  These last few years building Elyos AI have solidified the realisation: **the field services industry is still operating on archaic tech.**\n\nIn field services like installations, gas, plumbing and electrical, the business should be judged on how well they deliver the actual service, not how quickly they can answer the phone.\n\nUnfortunately, these businesses are running inflated offices to make up for the poor systems they have to deal with: \n\n* Booking is harder than it has to be\n* Leads are left on ‘seen’ and quotes go cold\n* Jobs are scheduled in the wrong place, and \n* Engineers are dispatched for simple to solve over the phone problems\n\nElyos AI is solving this.\n\n**The Solution**\n\nElyos AI is a fully autonomous AI Agent, built specifically for trades and field services businesses. \n\nThe AI Agents we offer:\n\n1. Cover your phone 24/7\n2. Schedule jobs, optimised for engineer location, skillset and customer preference\n3. Manage payments\n4. Book leads in seconds and chase quotes to keep your pipeline warm\n5. Run your on-call process, dispatching engineers and informing the team over phone and WhatsApp\n6. Confirm appointments so you never send an engineer to an empty job\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/67335b11-c4cf-4bef-990f-b551666d54ea)\n\n**About Us**\n\nOur Founding Team has worked in Field Services for the best part of a decade.  \n\nPip and Panos used to work at OVO and Bulb Energy, two of the largest field services businesses in the UK. Pip was running operations of &gt;1000 engineers and Panos was building the operating system for those engineers.  Adrian, a second-time founder, has spent years optimising call centres with BCG.\n\n![uploaded image](/media/?type=post&id=93408&key=user_uploads/1307901/8834ef97-6502-45fe-9bb6-1c9be4409349)\n\n**The Ask**\n\nIf you know field service business owners in HVAC, plumbing, electrical, or similar trades, please intro us (use: [pip@elyos.ai](mailto:pip@elyos.ai))\n\n[**https://elyos.ai/**](https://elyos.ai/)",
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        "full_name": "Joel Alexander",
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        "title": "Parea AI - Aligned & reliable LLM evaluations",
        "tagline": "Automatically create LLM-based evals aligned with human judgement",
        "body": "**tl;dr:** [Parea AI](https://www.parea.ai/) automates the creation of evals for your AI products. We achieve this by bootstrapping an evaluation function with human annotations. Allowing you to automagically turn “vibe checks” into scalable and reliable evaluations aligned with human judgment.\n\n# **😩 The Problem**\n\n![uploaded image](/media/?type=post&id=82145&key=user_uploads/501039/78024ed1-9aa2-4be8-a022-359d82b9ac59)\n\nEvaluating free-form text is often only possible by humans reviewing outputs or using LLMs to evaluate them. The former is laborious, slow, and expensive, while the latter often fails to evaluate the outputs correctly. For LLM evaluations to work properly, one needs to prompt engineer them; i.e., they require their own optimization process.\n\n# **🚀 The Solution**\n\n![uploaded image](/media/?type=post&id=82145&key=user_uploads/501039/b7c1f4c7-b654-40e6-9e1d-84ab93f4ad5f)\n\nThe best [LLM evals](https://joschkabraun.com) are adapted to your particular business use case & data. We've developed a method for uploading human annotations (via CSV or using our [Annotation Queue](https://docs.parea.ai/manual-review/queue)) and bootstrapping an evaluation to mimic the annotations. To create a human-aligned eval, you need as few as 20 sample annotations. Using your new LLM eval is as easy as copying the code into your codebase or using it directly via Parea's API. Check out [our docs](https://docs.parea.ai/manual-review/bootstrapped-eval) to see the complete workflow.\n\n# **🙏 Our Ask**\n\n* **Get started** on [**our free tier,**](https://app.parea.ai/sign-up) or [**book a chat**](https://calendly.com/parea-ai/chat) to discuss how we can help you evaluate your AI app!\n* **Support our** [**launch** **tweet**](https://x.com/JoschkaBraun/status/1812884216444510233) and follow us on [**LinkedIn**](https://www.linkedin.com/company/parea-ai/) and [**Twitter**](https://x.com/PareaAI)\n* **Share Parea** **AI** with anyone you know who is facing challenges [evaluating AI & LLM systems](https://joschkabraun.com).",
        "url": "https://www.ycombinator.com/launches/LMv-parea-ai-aligned-reliable-llm-evaluations",
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        "title": "Parea AI – DataDog for LLM apps",
        "tagline": "Parea AI helps developers ideate, evaluate, and manage LLM-powered applications to consistently deliver quality user experiences.",
        "body": "**TL;DR:** [**Parea AI**](https://www.parea.ai/?utm_source=yc&utm_medium=post&utm_campaign=launch_yc&utm_content=tldr) is the essential developer platform for debugging and monitoring every stage of LLM application development. We provide debugging, testing, evaluation, and monitoring in one unified platform. These capabilities help developers get visibility into LLM responses, quickly test and optimize prompts, and ensure customers get the best user experience.\n\n![uploaded image](/media/?type=post&id=73431&key=user_uploads/699950/7cd2fa60-436e-46c0-b266-b88f3fd66b8c)\n\n### 🤔 **The Problem**\n\nLLMs hold infinite promise, but translating this potential into practical applications can be complex. Crafting precise prompts or building effective chains, tracking their performance, and optimizing them currently involves a disparate array of tools and a steep learning curve, leading to decreased productivity and increased time to market. This trial-and-error process can become taxing; in the words of one of our customers, **\"reading 1000s of words from ChatGPT outputs a day takes the fun out of building**.**\"**\n\n### 💡 **The Solution**\n\nParea was conceived to streamline this journey by simplifying the entire process of creating and managing LLM-powered systems. Our intuitive UI enables developers to **debug and test** their **prompts/chains**, offering deep visibility into the best-performing changes that dramatically improve LLM responses. The built-in Lab module lets you **compare various prompts, models, and parameter configurations side by side**, transforming rigorous testing into an insightful and fun task. Post-deployment, our robust **API ensures you have comprehensive analytics**, performance insights, and a complete tracking system for optimizing your application to excel in delivering user experiences.\n\n### 🚀 **Who is it for:**\n\nParea is for developers, AI enthusiasts, and organizations with a vision to leverage the power of LLMs. Whether you're a small team working on an LLM-driven product or a large company developing complex LLM-powered applications, **Parea simplifies the process and accelerates your time-to-productivity**.\n\n### 🎉 **Meet the Parea team**\n\nJoel and Joschka met in New York City and bonded over philosophy, learning, and of course, start-ups!\n\nJoel is a true Renaissance man. His quest has led him from a published microbiology researcher to International Politics at the Council of Foreign Relations, to learning Russian in Moscow, working on &gt;$100B of M&A deals at J.P Morgan, and most recently honing his self-taught coding skills as a SWE at Lyft. With Parea AI, he's committed to enhancing the productivity of every AI builder.\n\n[Joschka](https://joschkabraun.com) is our Wunderkind. He published a paper in the highest-ranked Journal for Number Theory at age 17, graduated college at 19, took a gap year to do Kung Fu in China, then completed his Master's at NYU as a Fulbright scholar. Joschka spent the last 3 years on the AI/ML frontline doing computer vision at Covera Health, and semantic search & LLMs at Jina. Parea was born to tackle the issues he'd faced in debugging and building LLM applications like DevGPT.\n\n![uploaded image](/media/?type=post&id=73431&key=user_uploads/699950/4bdf0da2-6bfd-4139-8f0c-ea7e826fd062)\n\n### ❤️ **Our Ask**\n\nWe invite you to explore [Parea’s](https://www.parea.ai?utm_source=yc&utm_medium=post&utm_campaign=launch_yc2&utm_content=cta) capabilities for your LLM solution and join our welcoming community. Follow us on [Twitter](https://twitter.com/PareaAI) and on [LinkedIn](https://www.linkedin.com/company/parea-ai/).\n\nIf you have any questions or would like a personalized onboarding session for your team, write us at [founders@parea.ai](mailto:founders@parea.ai)",
        "url": "https://www.ycombinator.com/launches/J6N-parea-ai-datadog-for-llm-apps",
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        "url": "https://www.ycombinator.com/companies/nowadays/jobs/MkqOCPn-founding-software-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": "Full stack",
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "id": 87720,
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        "url": "https://www.ycombinator.com/companies/nowadays/jobs/hq419qc-founding-account-executive",
        "location": "San Francisco, CA, US",
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        "role": "Sales",
        "role_type": null,
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        "experience": "Any (new grads ok)",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
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        "role_type": null,
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        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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        "id": 87949,
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        "url": "https://www.ycombinator.com/companies/nowadays/jobs/syo6fpn-founding-product-engineer",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$130K - $170K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
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        "url": "https://www.rippling.com/blog/founder-spotlight-anna-sun",
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        "date": "Oct 17, 2025"
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      {
        "title": "Mercer Island Women Leading Venture Capital",
        "url": "https://citylifestyle.com/articles/mercer-island-female-vcs-thankful-for-connection",
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      {
        "title": "Nowadays' Founders Share How $2 Million Will Help Further Develop Its AI",
        "url": "https://meetings.skift.com/2024/12/13/nowadays-founders-share-how-2-million-will-help-further-develop-its-ai/",
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        "id": 103278,
        "title": "Nowadays AI: AI-Native Platform for Corporate Meetings & Events",
        "tagline": "The AI-native platform that sources venues, negotiates contracts, and runs your entire corporate event, so your team just shows up",
        "body": "Hey everyone!! We're Anna and Amy, sisters, co-founders, and the people who used to manually call 20 hotels for a single offsite.\n\nWe launched Nowadays on YC S23 as an \"AI copilot for event planning.\" Two years later, we want to show you what we actually built :)\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/709549e5-8a04-4b5c-8557-76886ff145a0)\n\n# **TL;DR**\n\nNowadays is the AI-native platform for corporate retreats and meetings. Tell us what you need: we handle venue sourcing, contract negotiation, room blocks, attendee logistics, and post-event reconciliation. Fortune 500 teams and fast-growing startups use Nowadays to run offsites they're proud of, without burning out their ops team.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/53908cc7-1f81-4c15-afe7-5e0f11b7ad59)\n\n# **The Problem**\n\nPlanning a corporate offsite is a second job nobody signed up for.\n\nYour EA or ops lead spends weeks cold-emailing hotels, chasing RFPs, deciphering hotel contracts, and manually tracking room blocks in spreadsheets, only to do it all over again next quarter.\n\nThe vendors in this space are slow and expensive. Many of our customers have said the same thing: \"I got paired with a planner worse than myself.\"\n\nThe result: overpriced venues, cancellation penalties nobody caught, and an ops team that's exhausted before the event even starts. And for most enterprises, 65% of meeting spend is completely unmanaged, buried in expense reports, booked by admins outside any system.\n\n# **Our Solution**\n\nNowadays replaces the entire event planning stack with one AI-native platform, backed by a team that actually executes on your behalf. You tell us what you need. We handle the rest. Your team just shows up.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/67abf2bb-7640-4684-9bbf-c2bfb3a85d4a)\n\n## **1. AI-powered venue sourcing**\n\nDescribe your event, dates, headcount, vibe, budget, and we generate a curated shortlist of venues with proposals in 24 hours, not weeks. We have relationships with 400K+ hotels globally and we're a certified IATA travel agency.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/cedeb56d-e591-4eed-a1f6-b75d1eabf9b5)\n\n## **2. Contract negotiation, handled**\n\nWe negotiate directly with venues on your behalf, pushing on room rates, F&amp;B minimums, attrition clauses, and cancellation terms. Our AI knows market rates from thousands of events and pushes back when hotels overcharge. Clients routinely save 20-30% vs. going direct.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/1156b34d-e9b9-4e1d-bc9a-7736a13901a9)\n\n## **3. Exclusive rates**\n\nWe aggregate demand across all our clients to secure rates individual companies can't get on their own.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/592bb426-c3e7-4457-ab13-860504f2fc0e)\n\n## **4. End-to-end logistics**\n\nRoom blocks, cutoff dates, rooming lists, supplier coordination, tracked in one place, managed by us. Nothing falls through the cracks while you're onsite.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/49563edb-1c99-4cc1-afbd-d590b691258f)\n\n## **5. Attendee registration and logistics**\n\nCustom registration forms, dietary needs, t-shirt sizes, room assignments, all in the platform. Your ops lead is not managing 12 spreadsheets.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/302d0f5a-5d1c-4b01-8cdc-32bffe7d01e8)\n\n## **6. Expert support**\n\nEvery client gets a dedicated Nowadays partner who knows your program, your preferences, and your budget. Our AI acts, and when you need a human, we're there.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/2afea73a-7a20-4209-b1b7-e2ded68d6a13)\n\n## **7. Post-event reconciliation**\n\nWe audit the final folio, catch billing errors, and close the loop financially. No more surprise charges two weeks after everyone's home.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/836fcdff-8837-4754-b447-cda95c651c11)\n\n## **Why we're different**\n\nEvery competitor you've heard of bolted AI onto infrastructure built decades ago. We built around AI from day one, which is why a small team can do at scale what legacy platforms need armies of account managers to do.\n\nOur AI calls venues in 22 languages, parses 50-page proposals into clean apples-to-apples comparisons, and routes every meeting through approval workflows, including the small ones EAs used to book on their own.\n\nOne Fortune 500 VP uncovered $18M in previously unmanaged meeting spend just by turning Nowadays on.\n\n# **Use Cases**\n\n* Quarterly offsites: for remote-first teams who need to meet all their new employees\n* Leadership retreats: for executive teams running strategic planning sessions\n* Sales kickoffs: with complex AV, F&amp;B, and multi-day programming needs\n* International group travel: we handle the complexity of multi-country logistics end to end\n\n# **Where We Are Now**\n\nWe work with companies ranging from ones planning one epic kickoff a year to ones running thousands of meetings through the platform annually. Clients include Google, Airbnb, BlackRock, Anthropic, Pylon, and Mintlify.\n\nWe've run retreats from San Diego to Thailand, from 20-person leadership offsites to 500+ person company kickoffs.\n\nWe won both judges' choice and people's choice at Business Travel Show America 2025 and Business Travel Show APAC 2026, the two biggest innovation competitions in corporate travel.\n\n# **Why Now**\n\nCorporate travel spend is back and growing. But the infrastructure for planning events hasn't caught up. Legacy travel companies are slow, opaque, and not built for the modern distributed workforce. We're rebuilding this from scratch with AI at the core and a team that treats every event like it's our own.\n\n# **We're growing!!**\n\nWe're hiring across the board for founding team members, engineers, operators, and account executives who want to work on a problem that's genuinely hard and unsolved, with a really fun team in San Francisco.\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/6174eee6-ebce-4c88-8465-b443a7584c55)\n\nSee open roles: [nowadays.ai/careers](https://nowadays.ai/careers)\n\n# **Get started**\n\nBook a call: [meetings-na2.hubspot.com/amy-yan](http://meetings-na2.hubspot.com/amy-yan)\n\nEmail us: [events@nowadays.ai](mailto:events@nowadays.ai)\n\n![uploaded image](/media/?type=post&id=103278&key=user_uploads/1347384/ee979b76-ff7a-42cc-99f8-18f3034a7d95)\n\n",
        "url": "https://www.ycombinator.com/launches/Qrm-nowadays-ai-ai-native-platform-for-corporate-meetings-events",
        "votes": 6,
        "created_at": "2026-06-16T13:51:25.690Z"
      },
      {
        "id": 73488,
        "title": "🎉 Nowadays: AI copilot for event planning",
        "tagline": "Take the hassle out of organizing corporate events",
        "body": "Hi everyone! We’re Anna and Amy, sisters and co-founders of [Nowadays](https://www.getnowadays.com/).\n\n![uploaded image](/media/?type=post&id=73488&key=user_uploads/1374367/8abc167e-68ed-4057-ab7a-4f39e5f961ec)\n\n_From left to right:_\n\n[Anna](https://www.linkedin.com/in/annasun19): Software engineer from MIT, with PM & SWE experiences at DoorDash, Amazon, and Datadog. Organized events for 1300+ students as class president at MIT.\n\n[Amy](https://www.linkedin.com/in/amysunyan/): 7+ years in strategy & operations roles at Google, Meta, and McKinsey. Organized events for 2000+ students as class president at Johns Hopkins.\n\n### **🧨 The Problem**\n\nCorporate event planners are bombarded with endless calls and emails while planning events. Stressing over tight schedules, planners are paying for full-time assistants or tools that cost them $100,000+ a year.\n\nWhat if we could transform this time-consuming and expensive process, making it not just simple, but enjoyable and efficient?\n\n### **🙌🏼 The Solution**\n\nMeet [Nowadays](http://getnowadays.com/), the first AI co-pilot for event planning. Recover hours lost to manual, repetitive tasks, and spend time focusing on what really matters.\n\n**Here’s how it works:** Share event details, and we'll automatically reach out to venues and vendors, manage emails and calls, and stay within budget.\n\n![uploaded image](/media/?type=post&id=73488&key=user_uploads/1347384/482a0ef3-b7e2-4569-bd63-3e15548b608d)\n\n_Want a venue with an onsite golf course? Done ✅_\n\n_Activities within walking distance? Booked ✅_\n\n_Keeping your costs under a certain budget? You got it ✅_\n\nBut that’s not all. Our AI doesn't just offer a one-size-fits-all approach. It adapts to unique tastes and needs, providing a truly personalized event planning experience.\n\nWe're not just offering a tool; we're offering a smarter way to celebrate, connect, and create unforgettable moments.\n\n### **👋 Ask: How you can help**\n\n1. Know anyone planning corporate events (e.g. retreats, happy hours, holiday parties)? We’d love to speak to any event planners, office managers, or executive assistants about their day-to-day experiences. Send any leads to [founders@getnowadays.com](mailto:founders@getnowadays.com). 🙏\n2. Follow along on our journey [here](https://www.linkedin.com/company/getnowadays/)!\n\n### Transform the way you plan events with **Nowadays** **🚀**",
        "url": "https://www.ycombinator.com/launches/J7I-nowadays-ai-copilot-for-event-planning",
        "votes": 662,
        "created_at": "2023-07-27T14:15:04.307Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Letterbook is the AI-native alternative to Zendesk, Freshdesk, Zohodesk, and Intercom. We help companies manage and resolve customer support tickets across email, in-app feedback, and website forms. Our AI will triage your tickets, write replies, and build your knowledge base.",
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        "date": "Jan 30, 2025"
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      {
        "title": " 😺 Bye, Siri | Product Hunt",
        "url": "https://www.producthunt.com/newsletters/archive/28671-bye-siri",
        "date": "Mar 26, 2024"
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        "id": 99773,
        "title": "Letterbook - AI Customer Support Built for Startups",
        "tagline": "Connect your inbox, database, and Stripe. AI resolves your customer service tickets.",
        "body": "Hey everyone, we’re Dawson and Ethan, the founders of Letterbook.\n\n![uploaded image](/media/?type=post&id=99773&key=user_uploads/1399924/882cde5c-ce40-4fa9-ac07-a8b8104f3fa9)\n\n## The Problem\n\nWe grew our last product, Martin (an AI personal assistant), to 100,000 users. At one point, we'd get 50 customer support tickets every day, across email and help forms:\n\n* \"How do I use this feature?\"\n* \"Can I get a refund?\"\n* \"I can't log into my account.\"\n\nI had no choice but to hire a virtual assistant in the Philippines to reply to users and solve billing issues. I had to use Zendesk to manage tickets, which was built 20 years ago and designed for a VP of Support, not a founder.\n\n## The Solution\n\nNone of this made sense, so we built our own modern, AI-native support platform.\n\nLetterbook integrates with your database, knowledge base, and Stripe, and our AI auto-prepares resolutions to every ticket. All you have to do is review and send.\n\nWatch our launch video: <https://youtu.be/S1vNoMTcKoI?si=sFwRk9Hpu95ibeqm>\n\n## Results\n\nWe’ve already replaced Intercom, Zendesk, Zohodesk, Helpscout, and Freshdesk for many fast-growing companies in YC. \n\nOne founder said:\n\n> The AI drafts save us so much time, and it gets better over time without us doing anything (it learns from our past emails). When we have to make changes to the draft, the CMD+k feature is a game changer and allows us to fine-tune the response without copying and pasting the entire thread to ChatGPT.\n\n## Try it for free\n\nSign up at <https://letterbook.ai>!\n\nStart resolving tickets in 3 easy steps:\n\n1. Connect your [support@yourdomain.com](mailto:support@yourdomain.com) inbox.\n2. Connect your database and/or Stripe by pasting a restricted API key in Letterbook.\n3. Review the first draft and send it!\n\nUnlike Zendesk/Freshdesk/Zohodesk, which takes days to set up (a friend literally hired a consultant to teach him), Letterbook takes 5 mins. And if you need help, you better believe we have top-notch customer support!\n\nYou can book a call anytime at [letterbook.ai](http://letterbook.ai), or email me at [dawson@letterbook.ai](mailto:dawson@letterbook.ai).",
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        "created_at": "2026-04-15T03:49:20.289Z"
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        "id": 75285,
        "title": "🤵‍♂️ Martin - Your personal voice AI",
        "tagline": "Meet Martin, a better Siri with an LLM brain.",
        "body": "**TLDR:** Martin is like Jarvis in an app. Through voice conversations, Martin builds a personal relationship with you. He can find information, brainstorm ideas, or just chat with you about your week! You can also ask Martin to send you notes or set reminders in any conversation.\n\n## Meeting Martin for the first time:\nhttps://www.youtube.com/watch?v=eQLTXBq2tDI\n\n## Martin as your friendly confidant:\nhttps://www.youtube.com/watch?v=zfyf5qfYuBM\n\n## Martin as your smart secretary:\nhttps://www.youtube.com/watch?v=azXTaKitrw4\n\n### Our Ask:\n\n* Download Martin on the [App Store](https://apps.apple.com/us/app/martin/id6453473083) and leave us a good review/rating!\n* Let us know all your feedback at [dawson@trymartin.com](mailto:dawson@trymartin.com). :)\n* If you want Martin on Android, let us know [here](https://getwaitlist.com/waitlist/11378)!\n\n### Team:\n\nDawson, Harsh, and Arjun studied Computer Science at Yale, MIT, and CMU respectively for 1 year before dropping out to build Martin.\n\nThe three of us have been hacking together since 6th grade. We’ve built countless apps, websites, and robots together. And, we all share a childhood dream of having our own Jarvis!",
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        "full_name": "Jenica Zhong",
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        "id": 79262,
        "title": "Tile: AI-first SQL notebook for building stunning data apps",
        "tagline": "A notebook with visual, low-code and SQL tiles. Every tile compiles to SQL so your work will never get stuck in a proprietary format.",
        "body": "Hi! We’re building [Tile](https://tile.sh/).\n\n### **About Us**\n\n[Jenica](https://linkedin.com/in/jenica-zhong) and [Jessica](https://linkedin.com/in/jfang707) have collectively spent 9 years data wrangling at Palantir. We have built AI models and analytics products for both commercial enterprise and defense customers. Before Palantir, Jenica studied Math/CS at Harvard, and Jessica studied CS at MIT.\n\n### **Problem**\n\n**1\\.   SQL is verbose and hard to use for exploratory data analysis**\n\nData analysis is an iterative and investigative process. While SQL remains the most powerful language for working with data, SQL syntax results in long code blocks that are unforgiving when trying to quickly explore data.\n\n**2\\. Plain english is good for describing a high level query, but not the right UI for refinement**\n\nAI has been an incredible technology for fetching the right general data and columns on a well-defined and metadata-rich semantic layer. However, analysts must write long descriptive sentences to refine the query.\n\n### **Solution**\n\n**Tile allows anyone to explore and investigate their data in modularized steps without the clunky syntax of SQL.**\n\nOnce the insight is found, convert your tiles to a SQL block so you still have the robustness of code when building reports to share this insight with others.\n\n**Vision: The future is AI-enabled data analysis and report building. However, for it to work, explainability will be key. Tile will allow AI to show its work with step-by-step tiles and allow end users to fine-tune its responses.**\n\n**Demo: Learn how Dwight can use Tile to explore Dunder Mifflin’s transactions data**\n\n<https://youtu.be/vRRoolP3jG0>\n\n### **Try Tile with your data**\n\n[Sign up for a free 14 day trial](https://www.tile.sh/free-trial-sign-up) using Tile with your data! Reach out to [jenica@tile.sh](mailto:jenica@tile.sh) for specific questions.\n\n![uploaded image](/media/?type=post&id=79262&key=user_uploads/1531285/e8f02166-1e64-4b01-9628-3065aaee99c5)\n\n",
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        "full_name": "Artur Negrão",
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        "full_name": "Maria Eduarda Kumlehn",
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        "date": "Feb 20, 2024"
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      {
        "id": 78582,
        "title": "Salvy - Simplifying Telco for businesses in Brazil",
        "tagline": "We allow more than 250 companies to easily purchase and manage their mobile lines while reducing costs.",
        "body": "We're [Artur](https://linkedin.com/in/arturnegrao), [Lucas](https://linkedin.com/in/lucas-rosa-3080b43b), [Hudo](https://linkedin.com/in/hudo-assenco), and [Duda](https://www.linkedin.com/in/mariaeduardakumlehn/), the team behind [Salvy](https://www.salvy.com.br). We're **simplifying mobile and IT management for businesses**. Our mission is to cut through the chaos of telecom and IT services in Brazil.\n\n![uploaded image](/media/?type=post&id=78582&key=user_uploads/928768/83c1a053-91c7-452f-98f5-394c85819498)\n\n# **The Problem**\n\nCompanies in Brazil are tangled in complex telecom contracts and lost in inefficiencies. It's a universal headache, especially for businesses scaling up. That's where we step in.\n\n### Customer Pains\n\n1. **Cost inefficiency.** Companies use only 30% of what they purchase and around 20% of mobile lines are unused.\n2. **No transparency.** Companies don't know who is using it, how much they are using and for what.\n3. **Companies have no autonomy to manage their lines.** The mobile operators offer a very limited platform, increasing the need for customer service.\n4. **Awful customer service.** Incumbents provide low autonomy customer service that leaves customers with no effective help.\n5. **Confusing payments.** Invoices are long and confusing. Big companies have to hire consultants to understand how much they are paying. Some customers have over 120 telecom invoices a month.\n\n# **Our Solution**\n\nSalvy simplifies how companies **purchase and manage mobile telecom, turning it into SaaS**. Our platform provides a transparent, efficient way to handle mobile lines and IT demands (such as inventory management), minus the traditional hurdles.\n\nWe use AI to read telecom invoices and help companies migrate to Salvy. In just over a year, we've acquired +250 companies and have a 322% NDR with a 0,2% churn.\n\n[https://www.youtube.com/watch?v=Io7iavc7qc0](https://www.youtube.com/watch?v=Io7iavc7qc0&t=2s)\n\n### **Our Vision**\n\nOur goal is to be the **one-stop-shop solution for all things IT**, much like Rippling IT Cloud. We're using telco as a gateway to provide other solutions such as inventory and SaaS management, using AI to empower these solutions with speed and efficiency. We believe in three strategies:\n\n1. Retention is inherent in B2B mobile telecom when you do a good job and there are no loyalty contracts.\n2. Mobile telco works as the gateway to other IT solutions for mid-sized companies\n3. If you can work as a one-stop-shop software for IT, you can build a really successful business.\n\nThank you for getting to know more about us and feel free to [reach out to us](mailto:artur@salvy.com.br) for more details!",
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    "long_description": "Carma is building an AI-native platform that transforms fleet operations from tedious, manual work into effortless, automated workflows.\r\n\r\nWe’re the fastest-growing company in fleet management software. Carma already powers some of the largest fleets in the U.S., saving operations teams thousands of hours by eliminating busywork and keeping vehicles on the road.\r\n\r\nBacked by Soma Capital, Y Combinator, founders of Superhuman, and Tier-1 investors, we are sprinting toward a Series A in 2026.\r\n\r\nWe’re hiring the top 0.1% of engineers who want real ownership and impact—starting Day 1, you’ll build and ship fast to production for enterprise clients. Fleet operations run in real time, so your work is immediately used in the field and gets real customer feedback in hours, not months.",
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    "team_size": 5,
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/carma-com",
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
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    "founders": [
      {
        "user_id": 1377569,
        "full_name": "Muhammad Alasgarli",
        "title": "Founder/CEO",
        "founder_bio": "Founder & CEO @ Carma. Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/muhammadalasgarli",
        "x_url": "https://twitter.com/ceocarma",
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      {
        "user_id": 1654921,
        "full_name": "Suleyman Alasgarli",
        "title": "Founder/CRO",
        "founder_bio": "Founder & Chief Growth Officer @ Carma.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/salasgarli/",
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    "jobs": [
      {
        "id": 88420,
        "title": "Founding Full-Stack Software Engineer (React / Node.js / NestJS / PostgreSQL)",
        "url": "https://www.ycombinator.com/companies/carma/jobs/YLaym2M-founding-full-stack-software-engineer-react-node-js-nestjs-postgresql",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$175K - $225K",
        "equity_range": "0.50% - 1.00%",
        "experience": "1+ years",
        "visa": "US citizen/visa only",
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    "launches": [
      {
        "id": 98918,
        "title": "Carma: We replaced fleet operations with software.",
        "tagline": "AI that runs fleet ops end-to-end, unlocking revenue and curbing costs.",
        "body": "**We scrapped our original model and rebuilt Carma as an AI-native operating system for fleet operations.**\n\nSince then, every metric has compounded.\n\n⸻\n\n**The problem**\n\nFleet maintenance is the #1 cost for companies that run vehicles.\n\nAnd it’s still managed with:\n\n* 15+ disconnected tools\n* spreadsheets\n* phone calls\n\nMillion-dollar decisions happen daily.\n\nMade by people who:\n\n* aren’t automotive experts\n* aren’t incentivized on cost\n\nSo they approve everything.\n\nManagement can’t keep up. The problem requires deep technical context. It gets ignored.\n\nAs fleets grow, complexity snowballs.\n\nThe double-effect is vicious:\n\nVehicle uptime drops while costs spiral.\n\nMargins bleed heavily.\n\n⸻\n\n**Why incumbents fail**\n\nThe incumbent software providers are 30+ year-old leasing companies.\n\nThey make money when fleets replace vehicles more often.\n\nSo real optimization works against them.\n\nTheir software reflects it:\n\n* system of record\n* not system of intelligence\n\n_In reality:_ glorified Google Drive with manual data entry.\n\nNo automation. No decisions. No leverage.\n\n⸻\n\n**What we built**\n\nCarma replaces the entire stack.\n\nOur AI system, Neo, runs fleet operations end-to-end:\n\n* automates all repetitive daily workflows\n* replaces all manual labor\n* replaces all fragmented software\n\nAnd makes optimal decisions:\n\n* verifies pricing\n* selects vendors\n* schedules maintenance\n* audits invoices\n* determines replacement timing\n\nNot when a leasing company wants to sell a new vehicle.\n\nWhen it actually makes economic sense.\n\nEvery service makes Neo smarter.\n\nCustomers don’t add Carma.\n\nThey replace everything with it.\n\n⸻\n\n**Why now**\n\nAI can finally automate judgment, not just data entry.\n\n_Before:_ hire more people or accept inefficiency.\n\n_Now:_ neither.\n\n⸻\n\n**If you’re an investor or operator in this space, email us:**\n\n[muhammad@joincarma.com](mailto:muhammad@joincarma.com) - Muhammad Alasgarli, Founder and CEO\n\n[suleyman@joincarma.com](mailto:suleyman@joincarma.com) - Suleyman Alasgarli, Founder and Chief Growth Officer",
        "url": "https://www.ycombinator.com/launches/PjS-carma-we-replaced-fleet-operations-with-software",
        "votes": 4,
        "created_at": "2026-03-19T20:33:46.461Z"
      },
      {
        "id": 76596,
        "title": "🚗Carma – Fleets get top service centers to bid for same-day service",
        "tagline": "Never overpay or wait weeks for quality vehicle service ever again.",
        "body": "![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6e469c63-fd73-4b07-a14c-c16389064f61)\n\n**tl;dr:** Carma saves fleets generates measurable P&L savings on the order of hundreds of thousands to millions of dollars on vehicle repairs and maintenance with same-day service – Carma clients get pushed to the front of the line and don’t have to wait weeks to get vehicles back on the road!\n\n**💰Referral Opportunity:** We’re offering $100 in cash for every vehicle onboarded through a warm referral to a new client. 500 vehicles = $50,000 cash referral bonus. In addition, the referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/ff0b49ed-15b5-4336-89fb-fef7553f940a)\n\nWe are also hiring top-caliber full-stack software engineers and account executives – apply [**HERE**](https://www.ycombinator.com/companies/carma/jobs) today.\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**😡The Problem: Fleets HATE getting vehicle repair!**\n\nIt’s a time-draining hassle to get vehicle repair for fleets – a lack of price transparency makes U.S. fleets lose $37 billion each year due to improper or unnecessary vehicle repairs. Based on recent industry statistics, service centers overcharge fleets 85% of the time, leaving fleets overpaying an average of 68% more than what they actually should based on the fair cost of service. The worst part: there’s not much the average fleet management team can do – most fleets rely on minimal spares and don’t have the time to price shop for quotes. 80% of fleet managers don’t know what fair auto repair pricing looks like for non-routine repairs.\n\n**💲The Solution: Carma**\n\nCarma gets fleets prioritized same-day service offers with guaranteed, locked-in pricing. Fleet managers request any service they need through Carma, which we send to our highly rated and vetted local service center Partner Centers, who respond with real-time offers. Fleet can compare multiple same-day service offers in just 60 seconds or less. Carma handles the transaction with zero fees – no marked-up prices or “convenience” charges – you pay the service center’s in-store price or better.\n\nFleets save upwards of 50% when they use Carma vs. the median price for the same service in their zip code. It takes just 30 seconds to add a car to your profile and request service.\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/179a2ad1-4d43-4195-8951-dcba9afe1f1c)\n\n👨‍👩‍👧‍👦**Meet the TEAM**\n\nWe are setting a new standard in automotive service to make pricing transparent and the entire process hassle-free.\n\nCarma was founded by a team of automotive experts with deep technical domain expertise from the most prominent industry leaders, with a combined 120+ years of experience in the automotive service industry:\n\n* [**Muhammad Alasgarli**](https://www.linkedin.com/in/muhammadalasgarli/) **- Co-Founder & CEO.** Previously, Muhammad worked in investment banking (M&A/Restructuring) in NYC where he executed mega-cap mergers & acquisitions for publicly traded auto-tech companies, automotive OEMs, Tier 1 suppliers, and related auto service providers. He has worked on over $60B of cumulative transactions for notable corporate clients such as Carvana, Honeywell Transportation Systems, and various stakeholder affiliates of Hertz Rent-A-Car. Graduate of Washington University in St. Louis.\n* [**Suleyman Alasgarli**](https://www.linkedin.com/in/suleyman-alasgarli-6a54b1147/) **- Co-Founder & Head of Revenue.** Prior to joining Carma, Suleyman led operations for a portfolio of commercial and residential real estate investments and served as Operations Director for a prominent dental care chain, where he managed the entire sales pipeline end-to-end. Suleyman studied biology and chemistry with an emphasis in biomedical science at the University of Missouri - Kansas City.\n* **Alan Kennedy - Vice President of Sales.** Alan spent 36 years at Hunter Engineering Company, most recently as an International Regional Manager for the Asia-Pacific region and previously as a U.S. sales representative for Hunter Engineering’s sales territories in Texas and Oklahoma, specializing in undercar service equipment sales to independent automotive service centers and dealerships, with extensive experience in direct sales to both single-location and large-chain service facilities.\n* [**Doug Felt**](https://www.linkedin.com/in/doug-felt-63a30911/) **- Technical Product Manager and Subject Matter Expert.** Prior to joining Carma, Doug spent 46 years in automotive service: 32 years at Hunter Engineering Company as a Technical Training Manager and Subject Matter Expert, where he managed a portion of Hunter Engineering's training department supplying training to automotive and heavy truck technicians using over 35 satellite training centers nationally; including wheel alignment, balancing, tire changing, brake lathe operation, and counter sales training. Doug also managed training partnerships with Audi/Volkswagen, Bridgestone, Goodyear and a variety of other industry leaders. Before this, Doug spent 7 years as a Shop Manager at Hood’s Automotive and 7 years as a service technician and instructor in the U.S. Air Force.\n\n**💰Our Offer to You**\n\nOur sales process is supercharged by personal introductions, so any fleets whose owners or operational managers who you know or could introduce us to would be **very valuable**.\n\nIf you have a relationship with the C-Suite, owner, operations executive, or anyone else at business that owns cars – anything from HVAC, plumbing, pest control, landscaping, construction, cleaning & restoration, electrical contracting, sanitation, etc. – please give us a three-way intro over text or email (Muhammad, **636.293.5254 or** [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com)):\n\nFor each vehicle onboarded through your warm referral to a new fleet client, we will wire you $100 in cash. 500 vehicles = $50,000 cash referral bonus. In addition, your referred fleet receives a 25% discount on their Carma subscription fees for their first 12 months.\n\n**🙋Open Letter to Fleets**\n\nDear fleets, please give us your feedback if you think anything can be improved in our user interface or user experience so we can deliver the most fluid customer journey possible. No forms, just call or text me (Muhammad, CEO) on my cell and give me direct feedback: (**636.293.5254**). You can also email your feedback to me at [**muhammad@joincarma.com**](mailto:muhammad@joincarma.com) – I read and respond to every user.\n\n**🤝 [Join Carma Now](https://www.joincarma.com/)**\n\n**👀 [See How Carma Works](https://www.youtube.com/watch?v=Hx7fTYv3GBw)**\n\n**Cities where Carma is live now: St. Louis, MO; Kansas City, KC; Oklahoma City, OK; Springfield, MO; Nashville, TN; Dallas, TX; Houston, TX; and Phoenix, AZ.**\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/eafb09ec-394c-4a76-ab81-3edeacbd1ac2)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/fc1d8f92-25f7-4a9e-a501-e581f59076d5)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/57555baa-2c14-41fb-940e-1a9771ad01d4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9a324fb6-ede3-47b6-81d4-5da948b9b41e)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/6f335e2a-048c-45be-ae05-4ac410feffe7)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/9b7197ff-318b-4900-b00a-6afbf72ebcc6)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/0867d4e2-2d89-4f03-9e5d-bb52874c16f4)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/077bba8c-e540-4ced-a563-16d0dd271efa)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/d41e738c-53c5-484e-8b13-a325c7758519)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/1ec14d2f-a0ea-430a-be7a-7fc5cb12234b)\n\n![uploaded image](/media/?type=post&id=76596&key=user_uploads/1377569/65bb4dd4-32b2-4600-9724-87803ea5f44a)\n\n",
        "url": "https://www.ycombinator.com/launches/JvQ-carma-fleets-get-top-service-centers-to-bid-for-same-day-service",
        "votes": 21,
        "created_at": "2023-12-01T22:39:47.302Z"
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    "id": 29377,
    "name": "Toma",
    "slug": "toma",
    "former_names": [],
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    "website": "http://www.toma.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "",
    "one_liner": "AI Applied Research",
    "team_size": 20,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1702419018,
    "tags": [
      "Marketing",
      "Customer Support",
      "AI",
      "Automotive",
      "Conversational AI"
    ],
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    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Operations"
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    "regions": [
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      "America / Canada",
      "Remote",
      "Partly Remote"
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    "stage": "Growth",
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    "url": "https://www.ycombinator.com/companies/toma",
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    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tomavoice/",
    "x_url": "https://twitter.com/toma_voice",
    "fb_url": "https://www.facebook.com/tomavoiceai",
    "cb_url": null,
    "github_url": "https://github.com/toma-so/toma",
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/30c720ae0d8e011f3d717a623f88d12d48f2a84c.png",
    "app_video_url": null,
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    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 92912,
        "full_name": "Monik Pamecha",
        "title": "Founder",
        "founder_bio": "Co-founder and CEO at Toma",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/monikp",
        "x_url": "https://twitter.com/monikkinom",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/56ce271920b124dc06b81841d029159e118ab97e.jpg"
      },
      {
        "user_id": 416691,
        "full_name": "Anthony Krivonos",
        "title": "Founder",
        "founder_bio": "Co-founder @ Toma",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/anthonykrivonos",
        "x_url": "https://twitter.com/blandthony",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8bf89d456fa5f911d7ec946fe688db1da1d8917f.jpg"
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    "news": [
      {
        "title": "Car Dealerships Are Replacing Phone Staff With AI Voice Agents",
        "url": "https://futurism.com/car-dealerships-ai-voice",
        "date": "Jun 08, 2025"
      },
      {
        "title": "Holman invests in Toma's dealership call automation platform - Automotive News",
        "url": "https://www.autonews.com/retail/an-toma-raises-17-million-0605/",
        "date": "Jun 05, 2025"
      },
      {
        "title": "Toma’s AI voice agents have taken off at car dealerships -- and attracted funding from a16z | TechCrunch",
        "url": "https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/",
        "date": "Jun 05, 2025"
      }
    ],
    "launches": [
      {
        "id": 92511,
        "title": "Toma, an AI Platform for the $2T Automotive Industry",
        "tagline": "Toma is on a mission to build world-class communication and support tools for America's high ticket industries, starting with automotive.",
        "body": "### **Next-Gen Voice AI in a $2T Industry that Silicon Valley Overlooks**\n\nWe’re thrilled to share that Toma [**raised a $17M Series A**](https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/), led by **Andreessen Horowitz (a16z)**, who chose us after vetting every voice AI company in automotive. The wild part is that we got here through just word-of-mouth sales, without a sales team, and now power **hundreds of customers** across the U.S.\n\nSince graduating from YC, we’ve gone knee-deep into a trillion-dollar industry historically neglected by Silicon Valley––automotive dealerships. We’ve spent half a year **living in them** to learn how they communicate with their customers, run their day-to-day operations, and provide both great and (usually) not-so-great customer experiences. To put it simply, **things are broken**.\n\nSo we built AI agents that fix it by:\n\n* Deploying **personalized agents**\n* **Automating inbound calls** with a low-latency, natural-sounding voice AI\n* Running **outbound SMS** campaigns that generate new revenue\n* **Deeply integrating** with automotive-specific software\n* Offering **insights and reporting** into every AI/customer interaction\n* Intelligently **alerting customers** when human intervention is needed\n\nWe’re now the **fastest-growing** AI platform in automotive, and we’re just getting started.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/65a56669-51b7-40ff-ad8e-4c443df5a09c)\n\n### **From YC Hack Project to Must-Have AI Employee**\n\nWe started Toma as **two engineers** ([Monik](https://www.linkedin.com/in/monikp/) & [Anthony](https://www.linkedin.com/in/anthonykrivonos/)) who didn’t want to build another generic chatbot. We flew around the country, shadowing advisors in hot service bays, listening to call recordings, and mapping dealership workflows in Figma. We **wrote code inside dealerships** as bugs and feature ideas were discovered alongside our users.\n\nWe took a YC prototype and turned it into a real product. Today, dealerships such as [Martin Management Group](https://www.toma.com/resources/case-study/how-ai-doubled-operational-margins-for-martin-management-group) and [Middletown Honda](https://www.toma.com/resources/case-study/how-toma-helps-middletown-honda-save-100k-annually) rely on Toma to handle **tens of thousands of calls** monthly. Calls that were previously missing entirely or requiring thousands of dollars to outsource to call centers.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/3a60abaf-e5fd-437a-8b4c-f38d911f215e)\n\n### **The Results Are Wild**\n\n* **Martin Management Group:** 9,000 service appointments booked in 90 days. $2M+ in revenue. 40% reduction in BDC workload.\n* **Middletown Honda:** 53% of inbound calls handled by AI. $100K+ saved annually. Zero missed calls during recall events.\n* **Nationwide:** Over 1 million call minutes handled by Toma since launch. Hundreds of thousands of hours of human time saved.\n* **Growth:** Surpassed 7-figures in ARR in less than one year while approaching 8 figures with over 100 dealerships using Toma across the U.S.\n\nThe best part is that vehicle owners love it, dealers love it, and Original Equipment Manufacturers (OEMs) love it because **Toma works very well**.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/85178e79-dde7-4ec7-b19e-b28691d601a4)\n\n### **Why This Industry Matters (and Why It’s Underserved)**\n\nCars are essential to how Americans live, work, and move, and they’re getting older. The average vehicle on the road is 12.6 years old. That means **more maintenance, more service calls, and more pressure** on dealerships to deliver better experiences.\n\nSilicon Valley has historically **ignored this space**. It’s messy, full of edge cases, and utilizes antiquated software, requiring a deep understanding of real-world operations. **That’s where we thrive.** We see a gold rush in how AI can revolutionize the automotive retail industry.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/e94c67ce-14f4-4b8a-8648-3b105052b1d9)\n\n### **Why This Industry is Just the Beginning**\n\n**Automotive** is one of many high-ticket, operationally complex industries in the U.S.—alongside insurance, home services, logistics, and healthcare—where communication is still largely **manual**, software is **legacy**, and workflows are deeply **idiosyncratic**.\n\nThese industries are slow-moving but massive, with billions of dollars lost every year due to inefficiencies. While we’re laser-focused on fixing communication in dealerships, Toma is **building the horizontal foundation for deploying production-grade AI assistants** across every high-value, high-friction service industry. We believe the future of operations will be AI-augmented, and we’re laying the rails.\n\n### **The Tech**\n\n**In-house**, we have built:\n\n* A SOTA **voice AI orchestration** pipeline\n* **Dynamic integration platform** for connecting to legacy software\n* Production-grade **agentic workflow** engine\n* **Agent evaluation** pipelines\n* **Prompt management** tools that allow us to support hundreds of customers as a 3-person ops team\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/2c4115f8-a2bf-433b-b7f3-30f4fa6ca0c3)\n\n### **Our Culture: Builders First, Always**\n\nToma was **built by engineers**, and we hire technically-minded people across all responsibilities. We move quickly, fix things, and build from the ground up. We care deeply about real-world impact and meticulous attention to detail.\n\nWe’re backed by Andreessen Horowitz, Y Combinator, Scale Angels, Flex Capital, Holman Automotive, and more. But more than anything, we’re backed by many of our own dealerships and their staff, who trust us to communicate with their customers.\n\n![uploaded image](/media/?type=post&id=92511&key=user_uploads/416691/9eeaaa4c-ba17-4927-82b9-230c362a3684)\n\n### **Who We're Looking For**\n\nYou might be a fit if you:\n\n* Want to build **cutting-edge AI features** and work on SOTA everything\n* Are **disillusioned by AI slop** products and want to solve real-world problems\n* Want **excessive ownership** of critical systems and infrastructure\n* Have a **high bar of excellence** and want to work with people who match your energy\n\nIf you’re curious, please join us in building the future of AI-powered automotive retail operations. We’re a small team, but we punch above our weight and are having a blast doing it.\n\n👉 [www.toma.com/jobs](http://www.toma.com/jobs)",
        "url": "https://www.ycombinator.com/launches/O47-toma-an-ai-platform-for-the-2t-automotive-industry",
        "votes": 7,
        "created_at": "2026-02-07T06:49:05.753Z"
      },
      {
        "id": 92512,
        "title": "Toma: AI Platform for the $2T Automotive Industry",
        "tagline": "Toma is on a mission to build world-class communication and support tools for America's high ticket industries, starting with automotive.",
        "body": "### **Next-Gen Voice AI in a $2T Industry that Silicon Valley Overlooks**\n\nWe’re thrilled to share that Toma [**raised a $17M Series A**](https://techcrunch.com/2025/06/05/tomas-ai-voice-agents-have-taken-off-at-car-dealerships-and-attracted-funding-from-a16z/), led by **Andreessen Horowitz (a16z)**, who chose us after vetting every voice AI company in automotive. The wild part is that we got here through just word-of-mouth sales, without a sales team, and now power **hundreds of customers** across the U.S.\n\nSince graduating from YC, we’ve gone knee-deep into a trillion-dollar industry historically neglected by Silicon Valley–– automotive dealerships. We’ve spent half a year **living in them** to learn how they communicate with their customers, run their day-to-day operations, and provide both great and (usually) not-so-great customer experiences. To put it simply, **things are broken**.\n\nSo we built AI agents that fix it by:\n\n* Deploying **personalized agents**\n* **Automating inbound calls** with a low-latency, natural-sounding voice AI\n* Running **outbound SMS** campaigns that generate new revenue\n* **Deeply integrating** with automotive-specific software\n* Offering **insights and reporting** into every AI/customer interaction\n* Intelligently **alerting customers** when human intervention is needed\n\nWe’re now the **fastest-growing** AI platform in automotive, and we’re just getting started.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/65a56669-51b7-40ff-ad8e-4c443df5a09c)\n\n### **From YC Hack Project to Must-Have AI Employee**\n\nWe started Toma as **two engineers** ([Monik](https://www.linkedin.com/in/monikp/) & [Anthony](https://www.linkedin.com/in/anthonykrivonos/)) who didn’t want to build another generic chatbot. We flew around the country, shadowing advisors in hot service bays, listening to call recordings, and mapping dealership workflows in Figma. We **wrote code inside dealerships** as bugs and feature ideas were discovered alongside our users.\n\nWe took a YC prototype and turned it into a real product. Today, dealerships such as [Martin Management Group](https://www.toma.com/resources/case-study/how-ai-doubled-operational-margins-for-martin-management-group) and [Middletown Honda](https://www.toma.com/resources/case-study/how-toma-helps-middletown-honda-save-100k-annually) rely on Toma to handle **tens of thousands of calls** monthly. Calls that were previously missing entirely or requiring thousands of dollars to outsource to call centers.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/3a60abaf-e5fd-437a-8b4c-f38d911f215e)\n\n### **The Results Are Wild**\n\n* **Martin Management Group:** 9,000 service appointments booked in 90 days. $2M+ in revenue. 40% reduction in BDC workload.\n* **Middletown Honda:** 53% of inbound calls handled by AI. $100K+ saved annually. Zero missed calls during recall events.\n* **Nationwide:** Over 1 million call minutes handled by Toma since launch. Hundreds of thousands of hours of human time saved.\n* **Growth:** Surpassed 7-figures in ARR in less than one year while approaching 8 figures with over 100 dealerships using Toma across the U.S.\n\nThe best part is that vehicle owners love it, dealers love it, and Original Equipment Manufacturers (OEMs) love it because **Toma works very well**.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/85178e79-dde7-4ec7-b19e-b28691d601a4)\n\n### **Why This Industry Matters (and Why It’s Underserved)**\n\nCars are essential to how Americans live, work, and move, and they’re getting older. The average vehicle on the road is 12.6 years old. That means **more maintenance, more service calls, and more pressure** on dealerships to deliver better experiences.\n\nSilicon Valley has historically **ignored this space**. It’s messy, full of edge cases, and utilizes antiquated software, requiring a deep understanding of real-world operations. **That’s where we thrive.** We see a gold rush in how AI can revolutionize the automotive retail industry.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/e94c67ce-14f4-4b8a-8648-3b105052b1d9)\n\n### **Why This Industry is Just the Beginning**\n\n**Automotive** is one of many high-ticket, operationally complex industries in the U.S.—alongside insurance, home services, logistics, and healthcare—where communication is still largely **manual**, software is **legacy**, and workflows are deeply **idiosyncratic**.\n\nThese industries are slow-moving but massive, with billions of dollars lost every year due to inefficiencies. While we’re laser-focused on fixing communication in dealerships, Toma is **building the horizontal foundation for deploying production-grade AI assistants** across every high-value, high-friction service industry. We believe the future of operations will be AI-augmented, and we’re laying the rails.\n\n### **The Tech**\n\n**In-house**, we have built:\n\n* A SOTA **voice AI orchestration** pipeline\n* **Dynamic integration platform** for connecting to legacy software\n* Production-grade **agentic workflow** engine\n* **Agent evaluation** pipelines\n* **Prompt management** tools that allow us to support hundreds of customers as a 3-person ops team\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/2c4115f8-a2bf-433b-b7f3-30f4fa6ca0c3)\n\n### **Our Culture: Builders First, Always**\n\nToma was **built by engineers**, and we hire technically-minded people across all responsibilities. We move quickly, fix things, and build from the ground up. We care deeply about real-world impact and meticulous attention to detail.\n\nWe’re backed by Andreessen Horowitz, Y Combinator, Scale Angels, Flex Capital, Holman Automotive, and more. But more than anything, we’re backed by many of our own dealerships and their staff, who trust us to communicate with their customers.\n\n![uploaded image](/media/?type=post&id=92512&key=user_uploads/416691/9eeaaa4c-ba17-4927-82b9-230c362a3684)\n\n### **Who We're Looking For**\n\nYou might be a fit if you:\n\n* Want to build **cutting-edge AI features** and work on SOTA everything\n* Are **disillusioned by AI slop** products and want to solve real-world problems\n* Want **excessive ownership** of critical systems and infrastructure\n* Have a **high bar of excellence** and want to work with people who match your energy\n\nIf you’re curious, please join us in building the future of AI-powered automotive retail operations. We’re a small team, but we punch above our weight and are having a blast doing it.\n\n👉 [www.toma.com/jobs](http://www.toma.com/jobs)",
        "url": "https://www.ycombinator.com/launches/O48-toma-ai-platform-for-the-2t-automotive-industry",
        "votes": 15,
        "created_at": "2025-07-28T17:47:22.350Z"
      },
      {
        "id": 77697,
        "title": "🪄 Toma automates your phone calls with AI ✨",
        "tagline": "Voice AI Agents to handle phone calls and perform tasks for your business",
        "body": "### **TLDR;**\n\n[**Toma**](https://toma.so/) offers AI Agents that can autonomously handle phone calls for your business.\n\n🗣️ A natural-sounding voice experience over the phone\\\n🪄 A simple way to design call flows and manage AI agents\\\n🧩 Easy integration into your existing software to pull information and perform tasks on/off call\n\nToma is live and automating calls for companies in industries ranging from healthcare to automotive.\n\n### **Problem**\n\nCustomers call businesses expecting a superior experience over other channels. Instead, they have to put up with:\n\n❌ Long wait times\\\n❌ Repeated transfers to different agents without any context\\\n❌ Robotic call flows (read: Press 1 for English.. Sorry.. I didn’t catch that... Let me repeat the options)\n\nBusinesses find phone call operations **labor-intensive**, **expensive**, **inconsistent in quality**, and **hard to scale**.\n\nThe main challenges for businesses include:\n\n* Training agents\n* Ensuring quality and consistency across calls\n* Access control & compliance\n\n### **Our Solution:** [**Toma**](https://toma.so/)\n\n[**https://www.youtube.com/watch?v=p5SvyAHtyyU**](https://www.youtube.com/watch?v=p5SvyAHtyyU)\n\n* **Realistic call experience**: customizable human-like voices with low latency tested in noisy, real-world environments\n* **Integrations**: integrate with your CRM, knowledge bases, and third-party software to pull and push data\n* **Observability**: monitor calls with recordings, summaries, and granular analytics\n* **Live 24/7**: always on, no breaks\n* **Transfer**: intelligently transfer to humans if needed\n\n![uploaded image](/media/?type=post&id=77697&key=user_uploads/92912/75ed5b30-3ec8-4de2-a6af-9d53e9d84c7e)\n\n### **TEAM**\n\nWe’re Monik & Anthony. We’re best friends who have worked together and known each other for many years.\n\nWe believe that voice will be the best way for consumers to interact with AI in the future. The ubiquity of phones, advancements in AI, and the friction of traditional interactive voice systems have set the industry up for disruption.\n\nWe have extensive experience building large-scale customer messaging software, LLM applications, and conversational AI working at Scale, Uber, Lyft, and Braze, and we believe we can make the experience 10x better.\n\n### **Asks:**\n\n* If your business makes or receives phone calls, please set up a call with us [**here**](https://www.toma.so/contact) if you’d like to explore automation\n* Intros to any businesses that run their own call centers or outsource those operations (you can reach us at [founders@toma.so](mailto:founders@toma.so))",
        "url": "https://www.ycombinator.com/launches/KDB-toma-automates-your-phone-calls-with-ai",
        "votes": 22,
        "created_at": "2024-01-22T16:50:46.263Z"
      }
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    "id": 29398,
    "name": "ProSights",
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    "all_locations": "New York City, NY, USA",
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    "one_liner": "ProSights is a data / AI transformation partner to PE-backed portcos.",
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    "batch": "Winter 2024",
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    "regions": [
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    "year_founded": 2024,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/prosightsdata/",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "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",
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      {
        "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"
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    "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",
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    ],
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    "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"
      }
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    "id": 29405,
    "name": "Risotto",
    "slug": "risotto",
    "former_names": [
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      "OttoHelm"
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    "website": "https://tryrisotto.com",
    "all_locations": "San Francisco, CA, USA; Remote",
    "long_description": "Want to apply AI to your IT Helpdesk queue? Risotto helps you grant software access, limit access/permission grants by time, serve knowledge, and get approvals from people like managers. All using natural language directly in chat (AKA \"ChatOps\")\r\n\r\nIT teams spend too much time manually provisioning software and answering the same question repeatedly. We help them improve resolution times, reduce SaaS spend, and enhance security with 24/7 automated software access and IT support. Check us out at: https://www.tryrisotto.com",
    "one_liner": "Risotto auto-solves IT support requests using AI",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1709248167,
    "tags": [
      "B2B",
      "Compliance",
      "Security",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
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    "isHiring": false,
    "nonprofit": false,
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    "status": "Active",
    "industries": [
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    "regions": [
      "United States of America",
      "America / Canada",
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      "Fully Remote"
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    "stage": "Early",
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    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/risotto.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/tryrisotto/",
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    "primary_partner": {
      "name": "David Lieb",
      "url": "https://www.ycombinator.com/people/david-lieb"
    },
    "founders": [
      {
        "user_id": 607082,
        "full_name": "Aron Solberg",
        "title": "Founder",
        "founder_bio": "Aron is the founder and CEO of Risotto. When not working on his company he enjoys getting outdoors at every opportunity including hiking, skiing, and sailing. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aronsolberg",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/527b48c5394eaec2220613e0fec8df70f1d1074d.jpg"
      },
      {
        "user_id": 1380843,
        "full_name": "Alex Confer",
        "title": "Founder",
        "founder_bio": "Co-founder of Risotto! Formerly Hellosign, Dropbox, Gusto. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/aconfer",
        "x_url": "https://twitter.com/aconfer",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/f0e971abf6917788ebdbdc7d2482802df92cbee7.jpg"
      },
      {
        "user_id": 784345,
        "full_name": "Chris Paul",
        "title": "Founder",
        "founder_bio": "CTO and co-founder of Risotto. Formerly engineer and lead at HelloSign (YC11), interviewing.io, and Square.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/cmpaul/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/312dea2bf6a92f6da5d363de809849a87508c3a4.jpg"
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    "launches": [
      {
        "id": 78931,
        "title": "Risotto: The new AI-enabled IT help desk in Slack",
        "tagline": "Turn any Slack Channel into an automated IT help desk in 60 seconds ",
        "body": "# **🏆** Tl;dr:\n\n[Risotto](https://www.tryrisotto.com) automatically solves IT support tickets using AI. We help IT teams improve their resolution times, reduce SaaS spend, and enhance security with 24/7 automated software access and IT support, all directly in Slack.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/1932cf98-d844-41b5-83f3-210c96b453a6)\n\n# Meet the Team\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/e5b07a88-94f0-402e-bb58-8330605a7cec)\n\n[Aron](https://www.linkedin.com/in/aronsolberg/), [Alex](https://www.linkedin.com/in/aconfer/), and [Chris](https://www.linkedin.com/in/cmpaul/) met almost 10 years ago at HelloSign (YC11) as early employees.\n\n* Alex led the HelloSign IT team through the acquisition by Dropbox and later led IT engineering at Gusto.\n* Chris has a 25-year history as a software engineer and leader, most recently at Square.\n* Aron was also an early engineer at HelloSign before he shifted into Product Management, and later served as a Director of PM at Dropbox, and a PM lead in ML at Grammarly\n\nCollectively they have over 30 years of experience in enterprise B2B SaaS software. The team says they’re “excited to be building the IT product Alex always wanted, but has never been able to find.”\n\nCheck out automated 24/7 IT support with Risotto! ⬇️ ⬇️ ⬇️\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/8345b5cd-5e3e-4cf5-acd9-0054766f9de5)\n\n_Risotto learns the answers to common questions for automated 24/7 resolutions_\n\n# **❌** The Problem\n\n🕒 IT teams spend too much time manually provisioning software and answering the same question repeatedly\n\n💸 Manually provisioning SaaS accounts inflates license costs because there’s a tendency to over-provision\n\n🦹 Security suffers as software accounts proliferate\n\n😫 Quarterly user access reviews for SOC 2 compliance add additional overhead for IT to manage\n\nThese types of problems are a waste of time for people to solve but are perfect for automation. One of our co-founders [Alex](https://www.linkedin.com/in/aconfer/) saw this play out constantly while running IT at Gusto and Dropbox which inspired us to do something about it!\n\n# **📈** The Solution\n\n<https://youtu.be/yOiDQEExDVE>\n\n_Turn any Slack Channel into an automated IT help desk in 60 seconds_\n\nOut-of-the-box Risotto integrates with Slack, and IDPs like Okta to manage software groups and provide three major feature pillars to make IT teams awesome\n\n### “ChatOps” Helpdesk in Slack\n\nRisotto turns any Slack channel into a 24/7 automated help desk in 60 seconds. Embrace “ChatOps” to minimize context switching for employees and IT. All chat threads are backed by a digital ticket with control handled through natural language and emojis.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/eaba27d2-ab79-4029-9592-b13b31df8ffc)\n\n_You’ll love seeing the green check marks pile up as Risotto solves tickets right in front of your eyes_\n\n### Automated Software Access Management\n\nGain the benefits of software **approvals** and **time-based access** with our powerful access rules engine. All these rules can be configured per department to ensure everyone gets the right level of access.\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/24a9a446-eba6-40ba-855e-6edb25d1fab7)\n\n_Time-based access is a piece of cake with Risotto_\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/3664b78b-717a-4b99-9b4b-a910579eb3fc)\n\n_Get important and expensive software approved to ensure it’s really needed_\n\n### Streamlined User Access Reviews\n\nYour SOC 2 quarterly access reviews will fly by with Risotto. We offer easy tracking and review of software to ensure you always keep tabs on who has access and why\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/dd5f3249-8166-4c99-80ba-87e6065a6c3e)\n\n### Risotto’s benefits\n\n📈 Risotto improves the key metrics that IT teams care about, such as time-to-resolution (TTR), time-to-first-response (TTFR), and employee satisfaction ratings\n\n![uploaded image](/media/?type=post&id=78931&key=user_uploads/607082/eb256bc0-2e46-4265-bb61-4370cca79cf2)\n\nRisotto also provides numerous other benefits including:\n\n1️⃣ A unified IT support funnel to reduce context-switching\n\n⏩ Faster resolutions\n\n💰 Lower SaaS costs with on-demand provisioning\n\n🔐 Better security with timed access, and swift compliance reviews\n\n# Learn More and Try out Risotto\n\nWork in IT and want to try our Risotto? Reach out we’d love to talk! We think the future of IT support is conversational, and AI can help.\n\n* Email us at [founders@tryrisotto.com](mailto:founders@tryrisotto.com)\n* Schedule time directly via [Calendly](https://calendly.com/d/32r-55q-4d7)\n* Visit our [website](https://www.tryrisotto.com) and use our contact form\n\nWe love talking about modern IT challenges and we can often provide advice and best practices for navigating sticky problems!",
        "url": "https://www.ycombinator.com/launches/KX5-risotto-the-new-ai-enabled-it-help-desk-in-slack",
        "votes": 152,
        "created_at": "2024-03-01T01:03:31.109Z"
      }
    ]
  },
  {
    "id": 29423,
    "name": "Triply",
    "slug": "triply",
    "former_names": [
      "TRIPITACA"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/a50be8732ac92931d91e10a75379eb7b6b844ab1.png",
    "website": "https://business.triply.co/",
    "all_locations": "Nairobi, Nairobi County, Kenya",
    "long_description": "Triply (Formerly Tripitaca) is the operating system for travel businesses in Africa. We eliminate operational chaos by unifying payments, Invoicing, payroll, accounting, operations, and more into a single platform allowing travel businesses to execute and sell more efficiently. \r\n",
    "one_liner": "Operating system for travel businesses in Africa with embedded finance",
    "team_size": 18,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1711741250,
    "tags": [
      "Fintech",
      "Marketplace",
      "SaaS",
      "Travel"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
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    "regions": [
      "Kenya",
      "Africa"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/triply",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/triply.json",
    "year_founded": 2021,
    "city": "Nairobi",
    "country": "KE",
    "linkedin_url": "https://www.linkedin.com/company/tripitaca/",
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    "primary_partner": {
      "name": "Tom Blomfield",
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      {
        "user_id": 600569,
        "full_name": "Peter Wachira",
        "title": "Founder/CEO",
        "founder_bio": "Peter is an entrepreneur with a passion for empowering communities and reshaping the travel industry. Started my first company at 18, focusing on providing essential goods and services to low-income households through a BNPL model, exited. I pivoted to the travel sector, founding a leading vacation rental management company. Recognizing the challenges faced by travel businesses, I am now building Tripitaca, the operating system for travel businesses in Africa.",
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        "linkedin_url": "https://linkedin.com/in/peter-wachira-tripitaca",
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      {
        "user_id": 866843,
        "full_name": "Collins Muthinja",
        "title": "Founder/CTO",
        "founder_bio": "With over a decade of coding expertise, I'm a seasoned software engineer who cut my teeth at a leading insuretech firm, where I played a key role in building payment rails. Co-founder of a successful BNPL startup later acquired, I now drive innovation as I build the operating system for travel businesses in Africa, seamlessly embedding finance solutions. ",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/collins-muthinja-trippi",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb6d823bfa2fa0808355f3ba0fd5434c9526b093.jpg"
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      {
        "id": 79844,
        "title": "Triply✈️ The operating system for travel businesses in Africa",
        "tagline": "Helping businesses increase their earnings, collect payments, run their operations online, save, and borrow.",
        "body": "**tl;dr:** 90% of travel businesses in Africa are SMBs. However, they are unable to collect payments, continue to operate manually, lack access to financial services, and booking systems are 60% less efficient due to weak payment infrastructures.\\\n\\\n[Triply](https://business.triply.co/) assists these businesses in collecting payments, automating their operations, and then uses this data to provide them with financial services. We also assist them in increasing their revenue by selling their services on our marketplace, which is designed to match the needs of the local travel market.\n\n—\n\nHi people, we’re [Peter](https://www.linkedin.com/in/peter-wachira-trippi/) and [Collins!](https://www.linkedin.com/in/collins-muthinja-trippi/)\n\n![uploaded image](/media/?type=post&id=79844&key=user_uploads/600569/c376d924-cae2-4556-9972-ed512170dd78)\n\nPeter - 2x founder, ran one of the leading vacation rental management companies in East Africa.\n\nCollins - Led teams and built products in leading Fintech and insuretech startups in Africa.\n\n### the opportunity\n\nAfrica is a $300 billion dollar travel market and one of the fastest-growing travel markets globally.\n\nToday 66% of travel spend on the continent comes from domestic travelers.\n\n**Our Position;** Triply not only helps businesses automate their operations & collect payments, we also help them get bookings through our marketplace, allowing us to uniquely tap into the $198 billion dollar domestic market. Our ability to generate revenue for the businesses we serve has also seen our product become more sticky.\n\n![uploaded image](/media/?type=post&id=79844&key=user_uploads/600569/d42e0dfa-984b-4c3b-b7d7-d45e2d39d123)\n\nB2B Tools; [**Triply Business**](https://business.triply.co/)\n\n* Accounting\n* Payroll\n* Unified inbox (all your messages under one platform)\n* Payments processing\n* Wallet (Muti currency coming soon)\n* Analytics\n* Channel management system\n\n![uploaded image](/media/?type=post&id=79844&key=user_uploads/600569/673e77f7-43d0-4750-b2b5-be6a21ac2ae9)\n\n[**Triply Travel ;**](https://triply.co/)\n\n**OUR ASK ;**\n\n* If you know anyone within your network who has built travel tech businesses before, please introduce us through [founders@triply.co](mailto:founders@triply.co).",
        "url": "https://www.ycombinator.com/launches/Klo-triply-the-operating-system-for-travel-businesses-in-africa",
        "votes": 18,
        "created_at": "2024-04-01T15:41:40.850Z"
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  {
    "id": 29455,
    "name": "CommodityAI",
    "slug": "commodityai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/933c7f548a28cf3c29ce287133e7a5c8f9b0ca0c.png",
    "website": "https://commodityai.io/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "CommodityAI builds intelligent automation agents for some of the most operationally complex businesses in the world: physical commodity traders.\r\n\r\nIn trading operations, critical data is often buried in spreadsheets, emails, PDFs, and legacy systems — making workflows slow, error-prone, and overly manual. CommodityAI acts as a digital operator, continuously reading, interpreting, and updating information across the trade lifecycle to keep records accurate and systems in sync.\r\n\r\nOur agents extract and validate key details from trade confirmations, contracts, vessel updates, and more — turning scattered, unstructured data into clean, structured records that flow directly into CTRMs, ERPs, and other core platforms. No manual entry required.\r\n\r\nBy automating what others still do by hand, we help trading teams move faster, reduce risk, and focus on the decisions that matter most.",
    "one_liner": "The AI operating system for commodity operations",
    "team_size": 6,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1710175582,
    "tags": [
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      "Workflow Automation",
      "Enterprise Software",
      "AI"
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Active",
    "industries": [
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      "Operations"
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    "regions": [
      "United States of America",
      "America / Canada"
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    "stage": "Early",
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/commodityai",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/commodityai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/commodityai",
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    "primary_partner": {
      "name": "Brad Flora",
      "url": "https://www.ycombinator.com/people/brad-flora"
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    "founders": [
      {
        "user_id": 1080598,
        "full_name": "Philip Koenig",
        "title": "Founder/CEO",
        "founder_bio": "CEO & Co-founder at CommodityAI",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/philipkoenig",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3cfade36a66c9ca1104d7deb32c95e33f013bb51.jpg"
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      {
        "user_id": 1800705,
        "full_name": "Daniel Cervoni",
        "title": "Founder",
        "founder_bio": "Head of Engineering & Co-Founder at CommodityAI",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dcervoni/",
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        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ac13b2059b7d0b600f64661856a8828b4277e8ea.jpg"
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      {
        "user_id": 1534677,
        "full_name": "Kyle Franz",
        "title": "Founder/CTO",
        "founder_bio": "CTO & Co-Founder at CommodityAI",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/kyle-manuel-franz-7a4351a8",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/c9dd6b8ec50f1f2a35014a57c57bc54bf85b55f9.jpg"
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      {
        "id": 79344,
        "title": "CommodityAI — The shipment management platform for commodity traders",
        "tagline": "Meet CommodityAI, the easiest way for commodity traders to manage shipments",
        "body": "Hi everyone! We’re [Philip](https://linkedin.com/in/philipkoenig), [Kyle](https://linkedin.com/in/kyle-manuel-franz-7a4351a8), and [Daniel](https://www.linkedin.com/in/dcervoni/) from [CommodityAI](https://commodityai.io/). We are building a platform for commodity traders to manage their shipments.\n\n**tl;dr** CommodityAI makes it easy for commodity trading companies to manage their shipments. One of the largest sugar traders uses our product to classify over a million documents, extract relevant fields from them, and organize them by shipment. They also use us to execute shipment-related workflows, like sending shipment status updates and generating vessel nominations.\n\n# **The Problem**\n\nShipping commodities requires a company to manage \\~200 processes and over 50 documents. Now imagine you're managing thousands of shipments a month, and tens of thousands in a year. As a result, a trading company’s workforce spends \\~70% of their day on admin and 40% of operating costs are allocated to labor. Almost all of our customer calls have had one thing in common: the trader or operations person can recall a time in the past 6 months when a document or process error resulted in the firm losing hundreds of thousands of dollars.\n\nThese processes also differ between customers. In other words, no 2 customers run their commodity trading operations the exact same way. This makes it difficult to build a one-size-fits-all solution without being intimately familiar with the space and the nuances of these shipments.\n\n# **The Solution**\n\nWe’ve built AI, automation, and collaborative tools built specifically for commodities trading. Our customers use CommodityAI to manage thousands of shipments and process millions of shipment-related documents. This includes classifying them, extracting relevant fields, and organizing them. They also use our platform to automate a series of time-consuming, related tasks that they do in their day-to-day, such as tracking vessels, generating vessel nominations, and sending real-time updates to their counterparty.\n\n**Document Processing Workflow: Classify, Extract data, create shipment**\n\n![uploaded image](/media/?type=post&id=79344&key=user_uploads/1800705/47492cb6-5514-42b8-97ea-03ad19cad07e)\n\n**Track and Send Shipment Status Updates**\n\n![uploaded image](/media/?type=post&id=79344&key=user_uploads/1800705/524a9171-3d63-42a0-8a14-d5360ecda593)\n\nOur goal is to ultimately take the number of manual processes within a commodities shipment down to 0, transforming the way commodity trading companies manage their operations.\n\n# **Ask**\n\nWe know there aren’t too many commodity trading companies probably checking YC every day, but we do know many founders worked as traders or know traders from previous work experience! We’d be extremely grateful for any introductions to potential customers or investors =).",
        "url": "https://www.ycombinator.com/launches/Kdk-commodityai-the-shipment-management-platform-for-commodity-traders",
        "votes": 85,
        "created_at": "2024-03-13T01:53:54.452Z"
      }
    ]
  },
  {
    "id": 29574,
    "name": "Superunit",
    "slug": "superunit",
    "former_names": [
      "Unit IQ"
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/fbd00107f697b5f5493bc13c93f8896ad8eff46b.png",
    "website": "http://superunit.com",
    "all_locations": "Los Angeles, CA, USA",
    "long_description": "Superunit deploys AI voice and email agents to complete employment verifications for background check companies—faster, cheaper, and more compliant than internal teams or outsourced call centers.\r\n\r\nOur agents call and email employers, collect verification data, and log every interaction for audit and compliance. Customers are replacing manual workflows with Superunit to scale without adding headcount or compromising quality.\r\n\r\nWe work with background screeners and banks to process thousands of verifications per month.",
    "one_liner": "Faster, more profitable background checks with AI",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1719276994,
    "tags": [
      "SaaS",
      "B2B",
      "HR Tech",
      "Enterprise Software",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/superunit",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/superunit.json",
    "year_founded": 2024,
    "city": "Los Angeles",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/superunit-ai",
    "x_url": "https://x.com/SuperunitHQ",
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    "primary_partner": {
      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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    "founders": [
      {
        "user_id": 505183,
        "full_name": "Peter Marler",
        "title": "Founder/CEO",
        "founder_bio": "Peter, CEO of Superunit, leads his second venture after founding the VC-backed Robin Golf. His career spans roles at Facebook, Quantifind, and NBCUniversal. He holds an MBA from Stanford.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/marler/",
        "x_url": "https://x.com/peter_marler",
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      {
        "user_id": 1869331,
        "full_name": "Zach Yellin-Flaherty",
        "title": "Founder/CTO",
        "founder_bio": "Zach is a software engineer who spent years building payments infrastructure at Stripe and Index. He hold two Computer Science degrees from Stanford.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zachary-yellin-flaherty/",
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      {
        "id": 97430,
        "title": "Superunit: We automate the most soul-crushing job in background checks",
        "tagline": "Employment verifications, end-to-end.",
        "body": "Hi we’re Peter and Zach from Superunit.\n\n**TL;DR:** Background screeners and banks have used us to process over 70,000 employment verifications. Our platform handles handles phone calls, emails, faxes, and compliance end-to-end.\n\n**❌ Employment verifications are soul-crushing, but necessary**\n\nEvery time someone gets hired, applies for a mortgage, or needs a background check, someone has to verify they actually worked where they said they did.\n\nThis means millions of phone calls per year to HR/payroll/admin departments. Leaving voicemails. Sending emails. Sending faxes (yes, in 2026). Waiting days for callbacks. Calling back. Getting transferred. Leaving more voicemails.\n\nBackground screeners and banks hire armies of people to do this. It's tedious, expensive, and the turnover is bad because the job is mind-numbing.\n\n**💡 What we built**\n\nSuperunit handles employment verifications end-to-end. We do contact research, call HR/payroll/admin departments, navigate phone trees, handle documents, send emails and faxes, and and publish the results back to your ERP.\n\n**🎬 See it in action**\n\n— Watch Ava Do an Employment Verification — \\\n<https://youtu.be/iYKBcB-Y1Vo>\n\n— Check Out the Platform —\\\n[https://youtu.be/Z-s7F7sqbmE](https://youtu.be/iYKBcB-Y1Vo)\n\n**📊 Traction**\n\n* **65% results obtained**\n* **1 business day** average turnaround\n* **40+ customers** - Banks and background screening companies\n* **70,000 verifications processed**\n* **98% conversion rate** from pilot to full time\n* Two **top-10 background screeners signed**; all top 4 background screeners by revenue in active pipeline.\n\n**🔥 What customers say**\n\nOne customer: _\"If I have this technology, we will dominate the field.\"_\n\nA mortgage lender scaled their loan volume **20x** while keeping their verification team at just **2 people** - they avoided hiring 12 additional heads.\n\nAnother said: _\"You were a game-changer when we were in a really tight spot. We were growing quickly and losing customers because we couldn’t meet their expectations.\"_\n\n**🎯 But Why**\n\nWe pivoted a few months after demo day. We had been told by a product leader at Checkr that employment verifications were “soul crushing.”\n\nWe got curious.\n\nWe started building in January 2025, signed our first customer in March, signed a series C customer in April, signed a top-5 screener in September, signed our first mortgage lender shortly after, crossed 10k, then 50k, then 70k verifications processed, with many more to go!\n\n👥 **Team**\n\n[Zach Yellin-Flaherty](https://www.linkedin.com/in/zachary-yellin-flaherty/) - CTO - ex-Stripe, ex-Index, Stanford BS/MS in CS\n\n[Peter Marler](https://www.linkedin.com/in/marler/) - CEO - 2x founder, ex-Facebook, ex-Quantifind, Stanford GSB\n\n**🙏 Our ask**\n\n* Are you doing employment verifications when hiring? Text me\n* Are you bored of people calling your team to get employment verifications? Text me\n* Play golf with people who work at mortgage lenders? Text me!\n\n**Phone:** (518) 207-5511\n\n**Email:** [peter@superunit.ai](mailto:peter@superunit.ai)\n\n👉 [superunit.ai](https://superunit.ai)",
        "url": "https://www.ycombinator.com/launches/PLS-superunit-we-automate-the-most-soul-crushing-job-in-background-checks",
        "votes": 15,
        "created_at": "2026-02-03T17:47:01.687Z"
      },
      {
        "id": 82712,
        "title": "Superunit 💆🏼‍♂️ AI accounting agents for companies selling physical products",
        "tagline": "Effortlessly automate accounting, integrate inventory data, and eliminate financial statement errors",
        "body": "**🙈 TL:DR:** Companies selling physical products spend a fortune on accounting and are still left with incorrect financials because of inventory related complications. We fix that.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/a2949d25-3407-403c-88d4-f6f9beff9ce7)\n\n🥵 **PROBLEM**: Companies selling physical products struggle with accounting and inventory operations. Current bookkeeping methods rely heavily on manual input and are often disconnected from accurate inventory data. This leads to mistakes in important financial figures like cost of goods sold (COGS), inventory value, margins, and cash flow. As a result, businesses spend a lot of time and money only to gain an inaccurate picture of their financial health. These inaccuracies lead to poor budgeting decisions, loan rejections, failed fundraising, non-compliance, and frequent cash flow crises.\n\n😍 **OUR SOLUTION:** A powerful AI accounting agent built specifically for companies selling physical products.\n\nOur platform automates bookkeeping and completes a variety of crucial product operations tasks such as calculating COGS, optimizing POs, and conducting contribution margin analysis with only a few clicks.\n\nAll financial and inventory data is connected and written back to QBO or your ERP, eliminating financial statement errors, saving dozens of hours per month, and thousands on accounting costs.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/56544b6d-0310-4c0e-a398-09bdb3945f94)\n\n💡 **THE INSPIRATION:** As the founder of Robin Golf, [Peter](https://www.linkedin.com/in/marler/) encountered this problem frequently. Doing the financials required an expensive team and the books were always inexplicably wrong. As as a result, the company was underwritten for debt and equity incorrectly, wasn’t able to make proper budgeting decisions, couldn’t forecast inventory needs, couldn’t optimize channel mix, and was blindsided by cash shortfalls.\n\n![uploaded image](/media/?type=post&id=82712&key=user_uploads/505183/46551b06-df3e-4d8c-bc8e-46a92a333bf8)\n\n👬 **THE TEAM**: [**Peter Marler**](https://www.linkedin.com/in/marler/) (CEO) was the co-founder/CEO of Robin Golf, a venture backed, multichannel golf equipment company. Prior to that he held roles at Facebook, Quantifind, and NBCUniversal. He is a graduate of Stanford GSB.\n\n[**Zach Yellin-Flaherty**](https://www.linkedin.com/in/zachary-yellin-flaherty/) (CTO) previously built payments infrastructure at Stripe and Index. He holds two Computer Science degrees from Stanford.\n\n🙏🏼 **ASK:** We’re onboarding customers and looking to grow! We’d love intros to CEOs/CFOs/COO of companies selling physical products - ecomm brands, wholesalers, retailers, dropshippers.\n\n🔗 **LINKS:** Connect with us on these platforms in the meantime!\n\n[**Company Linkedin**](https://www.linkedin.com/company/unit-iq/)\n\n[**Peter Linkedin**](https://www.linkedin.com/in/marler/)\n\n[**Zach Linkedin**](https://www.linkedin.com/in/zachary-yellin-flaherty/)\n\n[**Peter Twitter**](https://x.com/peter_marler)",
        "url": "https://www.ycombinator.com/launches/LW4-superunit-ai-accounting-agents-for-companies-selling-physical-products",
        "votes": 10,
        "created_at": "2024-08-05T01:44:25.456Z"
      }
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    "id": 29608,
    "name": "Pre",
    "slug": "pre",
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    "website": "https://buildwithpre.com",
    "all_locations": "Lake Oswego, OR, USA; Remote",
    "long_description": "Pre is an AI-powered execution system for startup founders who are serious about building real companies.\r\nSet a 10-week goal, connect your tools, and get pushed to do your highest-impact work every week.\r\nPre doesn’t track effort… it tracks outcomes, and it holds you to a higher standard.",
    "one_liner": "The AI accountability agent for startup founders",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1722007649,
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        "user_id": 32175,
        "full_name": "Darius \"Bubs\" Monsef",
        "title": "Founder",
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        "user_id": 40436,
        "full_name": "Asa Miller",
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        "founder_bio": "2× YC founder of a kid-safe AI companion and a pediatric care company. I’m also an engineer of polished 0→1 products; leader of teams shipping stellar work; and a dad who believes tech should be trusted and loved by families.",
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      {
        "id": 82522,
        "title": "Genie — The best AI sidekick for kids",
        "tagline": "A conversational AI companion that can create generative art, play games, write stories and talk with kids in a safe & age-appropriate way.",
        "body": "Hi, we’re Darius and Asa. We're friends, dads, go-karting rivals, and the cofounders of [Genie](https://www.Genie.gg) — the best AI sidekick for kids. Genie is a conversational AI that encourages creative play and guides kids through the Genieverse, the future of games, media, and social for kids.\n\n**Download our app at:** [**http://genie.gg/app**](http://genie.gg/app)\\\nVisit us at: [www.Genie.gg](http://www.Genie.gg)\n\n**The Genie Team**\n\n[Asa](https://www.linkedin.com/in/asamiller/) and [Darius](http://linkedin.com/in/dariusmonsef) previously cofounded [BraveCare.com](http://BraveCare.com) (YC S19), which raised $40M in funding and enabled more than 50k urgent care visits for kids who were sick or injured— during the pandemic and the recovery years— all while delivering a care experience that maintained a nearly 5-Star score across thousands of reviews.\n\nDarius’ first time through YC was in W10 with [CreativeMarket.com,](http://CreativeMarket.com) which led to an acquisition by Autodesk in ’14. He also cofounded Sightbox, a DTC contact lens service that was acquired by Johnson & Johnson in ’17.\n\n![uploaded image](/media/?type=post&id=82522&key=user_uploads/32175/b55dcc84-b2d8-4620-a77f-620f8f66d3ff)\n\n**Our vision for a better internet for kids**\n\nAs a father, I want to protect my kids at all times and everywhere they go in the world, and in reality, I can’t. But I can build an AI that keeps them safe everywhere they go online and create a “digital Disneyland” for them to play, explore, and connect in.\n\nLike Jarvis to Ironman, Sox to Buzz Lightyear, or Baymax to Hiro, a child is the hero of their own story, and we’re building them the ultimate sidekick. An AI buddy that has their back in the online world, encourages creative play and helps them learn about anything, at any time, in an age-appropriate way.\n\nSoon, hundreds of millions of kids across the globe will connect on the next platform that’s foundationally powered by AI. We’ve seen it coming for a while, and we’re already building that new space… the Genieverse!\n\n![uploaded image](/media/?type=post&id=82522&key=user_uploads/32175/366ff304-4c16-476d-b7ae-cb271a5249c9)\n\n**Do something fun with Genie today**\n\n**Create**\\\nGenie is an always-kind, supportive & friendly AI agent that can co-create free-form generative art with kids, and they can create thru other art modes like the “Crazy Food Lab” or “Muppet Monsters.”\n\n**Play**\\\nGenie can also build incredibly imaginative story worlds where kids decide what happens next or play logic puzzles or word games designed to spark kids’ creative and critical thinking. Genie also knows that kids should have time off of their screens and be active out in the world. When there is available screen time, we built Genie to be engaging and creative.\n\n**Learn**\\\nThe internet is an incredible wealth of knowledge and information, but browsers are binary about whether a kid has access to everything… or nothing. Genie is a safe resource for kids who are curious about the world around them. Sometimes a trusted adult isn’t available to ask, or kids feel weird about asking, so Genie makes sure that tricky questions are answered in kind and age-appropriate ways.\n\n**Find “**[**Genie.gg**](http://Genie.gg)**” on the App Store** or click here: [**http://genie.gg/app**](http://genie.gg/app)",
        "url": "https://www.ycombinator.com/launches/LT0-genie-the-best-ai-sidekick-for-kids",
        "votes": 34,
        "created_at": "2024-07-29T16:57:48.187Z"
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    "name": "Callback",
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    "website": "https://getcallback.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Leading enterprises use Callback to manage complicated, real-world workflows. We integrate with your systems, not the other way around. Our platform serves as an auditable and permissioned system of record for your operations.",
    "one_liner": "Effortless AI automation for business operations",
    "team_size": 2,
    "industry": "B2B",
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    "city": "San Francisco",
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        "full_name": "Alan Xie",
        "title": "Founder/CEO",
        "founder_bio": "Alan is the co-founder and CEO of Callback. He was previously a product manager at Microsoft and AWS and the co-founder of an entertainment analytics startup. He studied CS at Harvard and Columbia and has an MBA from Harvard Business School.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/alanrxie",
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        "user_id": 503383,
        "full_name": "Paulo Bautista",
        "title": "Founder (COO)",
        "founder_bio": "Paulo is the co-founder & COO of Callback. He previously managed thousands of delivery drivers and call center agents in the Philippines holding roles like  Director of Operations and Head of BizOps. Paulo holds an MBA from Harvard Business School. \n",
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      {
        "id": 83765,
        "title": "Callback - AI business process outsourcing",
        "tagline": "A faster and more accurate AI-native BPO.",
        "body": "**TLDR**: [**Callback**](https://getcallback.ai) **is the first AI-native BPO built using a modern tech stack.**\n\nOur software platform helps our customers stay focused on their core business by automating their ops processes with humans in the loop. We’ve handled tasks such as image labeling, invoice extraction, and PDF report parsing — with greater accuracy and speed than traditional BPOs or off-the-shelf software solutions. \n\n**Our team**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeL3DPnORZSaPrv35S-22CdX2ZrxP9_EvxYzclxFTf4dxbob11k6g3VvRBAZcRLO3nXcu_LDpZmaZ_kKdYx00-KBKrk8uzJ5GqjASkFm05A_BDtSjGfDWMqZ16w2IP469vR0CfuGP2RHou2QoZ6rHAqPv0?key=rS2cFpGt_BWtrYrVA_wlvw)\n\n[Alan Xie](https://www.linkedin.com/in/alanrxie/) was a senior product manager at AWS and Microsoft, where he built enterprise productivity software used by hundreds of millions of people. He holds computer science degrees from Harvard and Columbia, as well as an MBA from Harvard Business School.\n\n[Paulo Bautista](https://www.linkedin.com/in/paulobautista/) was the first employee and Head of Business Operations at Ninja Van in the Philippines, where he managed a team of several hundred delivery couriers and grew the business to 8 figures in annual revenue. Before YC, he ran an 800-person call center as the Director of Operations and Strategy for a late-stage restaurant tech startup. Paulo studied Business Economics at the University of the Philippines and holds an MBA from Harvard Business School.\n\n**Why are we building Callback?** \n\nAs companies grow, they naturally accumulate process overhead involving manual, repetitive operations tasks. Outsourcing these processes to BPOs requires months of coordination, training, and QA — friction that only the largest multinational corporations can tolerate. \n\nWe empower **companies of all sizes** to offload their manual processes onto our platform. Callback is a software layer for business operations that makes your processes more **transparent**, **efficient**, and **cost-effective**. \n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXerz8QHBBJ7s8VeO6FMk5ZD43yxGNXTCfbO727NYabKPet-cckWwJEbP9eKkHDAdv-JUu1mnzYrC-gxCNxYgZCUp4jt4AOILGazXQLoCIG3SsbL5JMT73ZuzGViPAJyknEVRvM-UeYNTHAvwBnXavIU_igy?key=rS2cFpGt_BWtrYrVA_wlvw)\n\nOnboarding onto our platform is straightforward:\n\n1. Customers define a specific process workflow as a **Blueprint**\n2. They execute **Jobs** based on their Blueprints\n3. Jobs rely on pre-defined **automation** as well as **human QA**\n\nDo you have any ops processes you wish you could delegate? Unstructured data that you need to turn into a specific structured format? Email us at [founders@getcallback.ai](mailto:founders@getcallback.ai) or book time with us [here](https://calendly.com/paulo-getcallback/can-you-do-this-for-me).",
        "url": "https://www.ycombinator.com/launches/Ln3-callback-ai-business-process-outsourcing",
        "votes": 96,
        "created_at": "2024-09-04T21:33:17.602Z"
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    "id": 29678,
    "name": "Lucible",
    "slug": "lucible",
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    "website": "https://luciblefi.com",
    "all_locations": "New York City, NY, USA",
    "long_description": "Lucible is a combined checking and investment account that allows you to invest 100% of your money while still being able to spend it. Whenever you spend, we issue a loan in real time, using your investments as collateral, to cover the cost. This is the most capital and tax efficient way to manage your money. It's what the ultra wealthy already do to finance large purchases, and now you can do it for every day spending.",
    "one_liner": "Combined checking and investment account",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1723587984,
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      "Investing",
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      "name": "Gustaf Alstromer",
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        "user_id": 1995770,
        "full_name": "Toby Hirsch",
        "title": "Founder/CEO",
        "founder_bio": "Toby is the co-founder and CEO of Lucible. Before Lucible, Toby worked as a quantitative trader at Jane Street. He graduated from Penn's M&T program with degrees in computer science and statistics.",
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    "id": 29684,
    "name": "Parahelp",
    "slug": "parahelp",
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    "website": "https://parahelp.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Build and run an AI support agent that resolves even your most complex tickets end-to-end.\r\n\r\nIf a tool has an API, you can securely connect it to your agent - just by chatting with Parahelp. For example, you can connect Stripe so your agent can resolve billing questions and refund requests.",
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    "team_size": 11,
    "industry": "B2B",
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    "url": "https://www.ycombinator.com/companies/parahelp",
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    "city": "San Francisco",
    "country": "US",
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        "full_name": "Anker Ryhl",
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        "founder_bio": "Co-founder of Parahelp. I began programming at 13, where I also founded my first company. Throughout high school, I built consumer apps with my also current co-founder, Mads. Now, we’re building Parahelp - The AI support agent for software companies.",
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        "linkedin_url": "https://linkedin.com/in/anker-bach-ryhl",
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        "full_name": "Mads Liechti",
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        "founder_bio": "Co-founder of Parahelp. Throughout high school, I built 4 consumer apps with my also current co-founder, Anker. Now, we’re building Parahelp - The AI support agent for software companies.",
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        "linkedin_url": "https://linkedin.com/in/mads-lunau-liechti-a51210185",
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        "url": "https://www.youtube.com/watch?v=GciivYKTK_Q",
        "date": "Dec 02, 2025"
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    "launches": [
      {
        "id": 83601,
        "title": "Parahelp - The AI support agent for software companies",
        "tagline": "Helping leading CX teams at Perplexity and Captions.",
        "body": "**TL;DR** - [Parahelp](https://parahelp.com/) is an AI support agent for software companies that resolves support tickets end-to-end.\n\n**For example:** When a customer requests a refund, Parahelp can automatically look up subscription details, process the refund in the payment system if eligible, and respond to the customer.\n\n![uploaded image](/media/?type=post&id=83601&key=user_uploads/1759533/af0fff3f-d445-455f-bde8-c770f1389f1f)\n\n**Problem**\n\nMost CX teams have tried a chatbot solution that didn't move the needle in production.\n\nThis is because resolving tickets end-to-end, such as billing inquiries and technical issues, requires using multiple tools to look up customer data (subscription status in RevenueCat, platform details in Retool, etc.) and execute relevant actions (process refunds in Stripe, create bug reports in Linear, etc.).\n\n**Solution**\n\nWe've built Parahelp as an AI agent that works with CX teams' existing tools to reliably resolve support tickets end-to-end in production.\n\nParahelp can be highly customized to the team’s knowledge and processes and implemented in days, not months.\n\nOur state-of-the-art agent infrastructure enables our AI support agent to:\n\n* Be human-level empathetic and engaging\n* Quickly adapt to product and company changes\n* Take actions in tools like Stripe, Retool, and Linear\n* Work directly in Intercom and Zendesk\n\n**Results**\n\nWe're already helping leading CX teams at Captions and Perplexity. Together with Captions, we’ve created a [case study](https://parahelp.com/customers/captions) about how Parahelp was resolving 46% of all their support tickets within 7 days of implementation.\n\n**Ask**\n\nWe'd love to chat if you're a software company looking to implement an AI solution for your support operations!\n\nBook a demo with us here: <https://cal.com/mads/parahelp-demo>.\n\n![uploaded image](/media/?type=post&id=83601&key=user_uploads/1759533/0fb2454c-af68-4ddc-8a84-41447cea3628)\n\n",
        "url": "https://www.ycombinator.com/launches/LkP-parahelp-the-ai-support-agent-for-software-companies",
        "votes": 24,
        "created_at": "2024-08-29T20:23:26.320Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "Stormy runs the office so your crew can run the work. Every call answered, day or night. Every quote followed up until it is a yes or a no. Jobs booked, crews scheduled, parts tracked, invoices sent and collected. Marketing that brings the work in, and an AI agent for every person on your team — all working from the same job record. Built for the shops that keep physical things running: forklift and heavy equipment service, HVAC, electrical, plumbing, roofing, logistics and yards.",
    "one_liner": " Stormy runs the office so your crew can run the work.",
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    "industry": "B2B",
    "subindustry": "B2B -> Operations",
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    "linkedin_url": "https://www.linkedin.com/company/105507409",
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      "url": "https://www.ycombinator.com/people/garry-tan"
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        "full_name": "Robert Lukoszko",
        "title": "Founder",
        "founder_bio": "Prev:\n- Previously cofounded Fixkey.ai (acquired six figures, product of the day)\n- engineered large-scale data systems at ngrow.ai (YC W22)\n- build backend and trained AI models in Loóna (App of the year on iOS); \n- In AI & Data since 15 y.o (2017)",
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        "linkedin_url": "https://linkedin.com/in/karmedge",
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        "full_name": "Alex Pokras",
        "title": "Founder",
        "founder_bio": "YC S24",
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        "linkedin_url": "https://linkedin.com/in/pokras",
        "x_url": "https://twitter.com/alex_pokras",
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        "title": "Stormy — AI Agent for Influencer Marketing",
        "tagline": "Describe your campaign once and have the AI agent work for you while you sleep.",
        "body": "Hey 👋 I’m Robert, founder of Stormy.\n\nWe’re building Stormy because influencer marketing is still spreadsheets, manual DMs, and endless negotiations with influencers. In a world of “AI SDRs,” you should be able to describe your campaign once and have the AI agent just work for you while you sleep. Growing your business while you focus on the tech.\n\nWe recently won **Product Hunt Product of the Day**, and YC founders + agencies are already using Stormy to run micro- and nano-influencer campaigns end-to-end.\n\nhttps://www.youtube.com/watch?v=jK_8i8Wd0iQ&t=1s\n\n### How does it work?\n\nType a brief; Stormy handles the pipeline:\n\n1. **Describe your ideal creators**\\\n   “US-based AI YouTubers talking about agents, 10–100k subs” → Stormy searches YouTube & TikTok, podcasts, etc., and verifies each match.\n2. **One-click contacts**\\\n   Grab real emails in bulk (bio, site, press pages) and enrich profiles.\n3. **AI Negotiator**\\\n   Connect your Gmail and TikTok account to personalize outreach, automatic follow-ups, price extraction, and counter-offers within your budget guardrails—logged to a lightweight CRM.\n4. **Close & track**\\\n   Mark deals, export assets, and keep everything in one place (performance tracking integrations coming).\n\n### Who’s it for?\n\n* **Founders/In-house Growth** at AI & consumer apps who want predictable creator acquisition\n* **Agencies** running lots of small collabs (micro/nano) and are sick of manual workflows\n* **Creators/brands** who need a simple way to scale outreach without scaling headcount\n\n### Why now?\n\nCreator supply is exploding; attention is fragmented. Winning brands are those that can operationalize many small deals, fast. Stormy turns the “thousand tiny tasks” of influencer ops into a clean, automated flow.\n\n### What’s next?\n\n* **Promote UGC with TikTok Ads** — Spark/allowlisting in one click with budget guardrails and auto-variants.\n* **Payments & Tracking** — creator payouts, contracts/usage windows, and performance attribution (UTM, Appsflyer, PostHog) per asset.\n* **Unified Influencer → Performance CRM** — one pipeline from discovery & negotiation to ROAS/LTV.\n* **Always-on Outreach (“Auto-campaigns”)** — human-in-the-loop sequences to keep the funnel full.\n* **Light UGC Workflows** — simple briefs and clip collection (no heavy studio), with templates and QA for consistency.\n\nQuestions—or interested in learning more? Email [**robert@stormy.ai**](mailto:robert@stormy.ai)",
        "url": "https://www.ycombinator.com/launches/OGr-stormy-ai-agent-for-influencer-marketing",
        "votes": 19,
        "created_at": "2025-08-25T14:47:48.950Z"
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    "name": "Drillbit",
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    "website": "https://www.drillbit.com",
    "all_locations": "Austin, TX, USA",
    "long_description": "Residential contractors are drowning in office work. Drillbit automates all of it. We use AI receptionists and an LLM based quoting tool on top of our own CRM to entirely manage jobs from lead, to quote, to scheduling, to staffing, and even collecting payment.",
    "one_liner": "Automating Office Work for Residential Contractors.",
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    "industry": "B2B",
    "subindustry": "B2B -> Operations",
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        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Across the United States, we spend $700B/year on maintaining homes. Half the cost of any given home service is attributed to compensating the work it took just to coordinate that job. We believe that can and should be solved for. Owners need to (and prefer to) remain focused on “the real work” instead of non-value driving efforts. Businesses in this industry provide an essential service to our economy - they maintain our supply of housing - but they are operated in an incredibly manual and wasteful way. We solve that with AI receptionists that can coordinate with each of the parties at every stage in the process. The receptionists can then work with our AI estimators to provide quotes, and together they can use our CRM, project management, and payment solutions to store updates and take action throughout the process."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "There are many elements that contribute to the inflated cost of housing and they impact everyone from the homeless, to renters, to homeowners, and investors. An often-overlooked contributor to this cost is the high opEx in owning and maintaining a home. The most wasteful element of that expenditure is not materials or labor - it is compensating businesses for their administrative work (finding, quoting, managing, and coordinating jobs). My dream is to cut out those inefficiencies by bringing true automation to the home service industry. In doing so, we as a society can take a step towards better, more accessible housing."
      }
    ],
    "url": "https://www.ycombinator.com/companies/drillbit",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2024/drillbit.json",
    "year_founded": 2023,
    "city": "Austin",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/drillbit-ai",
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      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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        "full_name": "Alexander Seutin",
        "title": "Founder/CEO",
        "founder_bio": "Alex graduated from Stanford with a degree in CS & AI. After school, he worked as an engineer at SpaceX, Apple, Rivian, and Built Robotics. Alex is passionate about affordable housing, and after years of doing construction on the side, he merged his passions and started Drillbit. His company seeks to optimize and scale home service businesses through automating their operational & administrative workflows.",
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        "title": "Software Engineer, Product",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/kViPFgN-software-engineer-product",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$125K - $190K",
        "equity_range": "0.05% - 0.20%",
        "experience": "1+ years",
        "visa": "Will sponsor",
        "skills": [
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        "id": 85663,
        "title": "Staff Software Engineer, AI ",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/2wuqVrc-staff-software-engineer-ai",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Engineering",
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        "salary_range": "$190K - $300K",
        "equity_range": "0.15% - 0.50%",
        "experience": "3+ years",
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      {
        "id": 85666,
        "title": "Operations Lead (Manager)",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/W3NauY3-operations-lead-manager",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$100K - $175K",
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        "experience": "3+ years",
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        "skills": [
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          "Data Modeling",
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      },
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        "id": 85883,
        "title": "Business Operations Analyst",
        "url": "https://www.ycombinator.com/companies/drillbit/jobs/PZYk15f-business-operations-analyst",
        "location": "Austin, TX, US",
        "type": "Full-time",
        "role": "Operations",
        "role_type": null,
        "salary_range": "$75K - $90K",
        "equity_range": "0.05% - 0.10%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Torch/PyTorch",
          "Data Analytics"
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    ],
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      {
        "id": 82558,
        "title": "Drillbit 🧰 Handling office work for residential contractors",
        "tagline": "Your contractor's AI-powered back office.",
        "body": "### **\\~TLDR\\~**\n\nResidential contractors are drowning in office work that has nothing to do with their core business. [**Drillbit**](https://www.drillbit.com) automates all of it. We use AI receptionists and an LLM based quoting tool on top of our own CRM to entirely manage jobs from lead, to quote, to scheduling, to staffing, and finally payment.\n\n![uploaded image](/media/?type=post&id=82558&key=user_uploads/1549700/acbc535d-4709-4176-a54f-8fe50c23a170)\n\n### **Problem🚨**\n\nResidential contractors provide a critical service to our economy: building and maintaining the supply of housing. Unfortunately, those businesses are still operated in an incredibly manual way. Across the U.S., we spend about $675B/year on simple home maintenance. A significant portion of that cost is attributed to the office work involved with finding, coordinating, and managing those small jobs. Business owners need to (and prefer to) remain focused on the real work instead of non-value-driving efforts.\n\n### **Solution 🏗️**\n\n[**Drillbit**](https://www.drillbit.com) allows contractors to be entirely hands-off, enabling them to focus 100% of their time on their core business. We have built AI receptionists that can coordinate with businesses and homeowners at every stage in the process. The receptionists then work with our AI estimators to provide quotes. Together, they are able to use our CRM, project management, and payment solutions to store updates and take action throughout the process.\n\n### **Landscape ⛰️**\n\nPlatforms that have come before us were able to move service business operations from texting and emailing over to CRMs and project management solutions, but they suffer from massive churn rates. Owners we have spoken with have consistently voiced the feeling that they were “babysitting” the tool. All of that “homework” they had to do entirely undermined the value of the solution in their eyes, and so, most users would abandon the platform. Rather than expecting our users to change their behavior - ie. start using technology that they would rather not be interacting with - we have met them where they are by handling the job coordination in a way that feels familiar to them: offering the ability to talk to your “employees” on the phone like you would a real person, and having those “employees” be able to engage with homeowners over the phone like real people would too.\n\n### **Team 👷👷‍♂️**\n\n[**Alex**](https://www.linkedin.com/in/aseutin) (Stanford CS / AI) spent the first part of his career developing applied AI solutions at SpaceX, Apple, and Rivian. After some time developing robots for industrial construction projects, Alex found a passion for hands-on work and spent a few years renovating old homes and airstreams. During that time, Alex became intimately familiar with the pain points in the construction and home service industries and realized how much of a need there was for better, more automated software. At that point, he decided to merge his passions and set out to build [**Drillbit**](https://www.drillbit.com) to support the folks maintaining America's housing.\n\n![](https://bookface.ycombinator.com/media/?type=post&id=82558&key=user_uploads/1549700/69e0cd13-9458-4048-b7b6-62938dffa061)\n\n### **Ask 🙏**\n\nThe platform has been built, and now we are looking to drive revenue. If you know of any business owners in the industry (plumbers, electricians, house cleaners, lawn care providers, landscapers, tilers, roofers, etc) please introduce us at [**alex@drillbit.com**](mailto:alex@drillbit.com) 🙂\n\n### **Links 🔗**\n\nIn the meantime, we’d love it if you followed our journey:\n\n* [**Company LinkedIn Page**](https://www.linkedin.com/company/98805941/)\n* [**Alex’s LinkedIn Page**](https://www.linkedin.com/in/aseutin/)\n\n& finally, check out our website!\n\n[**https://www.drillbit.com**](https://www.drillbit.com/)\n\nDemo Video:\n\n[**https://youtu.be/bTIP5pk-Ldo**](https://youtu.be/bTIP5pk-Ldo)",
        "url": "https://www.ycombinator.com/launches/LTa-drillbit-handling-office-work-for-residential-contractors",
        "votes": 40,
        "created_at": "2024-07-30T16:16:25.234Z"
      }
    ]
  },
  {
    "id": 29770,
    "name": "Intryc",
    "slug": "intryc",
    "former_names": [
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    ],
    "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"
    ],
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    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2024",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada",
      "Remote",
      "Fully Remote"
    ],
    "stage": "Early",
    "app_video_public": false,
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        "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!",
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        "created_at": "2025-10-07T20:23:56.000Z"
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      {
        "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<https://www.youtube.com/watch?v=eqIx1bnzEGk>\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!",
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        "created_at": "2024-07-22T22:12:54.059Z"
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        "full_name": "Shayan Zakerzadeh",
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        "full_name": "Sebastian Rödling",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder @ omnidock, with a technical background in Computer Science focused on AI and Causality. Previously worked at Lufthansa Industry Solutions, and deeply passionate about tech, programming, and machine learning.\n\n",
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        "id": 84142,
        "title": "omnidock: The OS for global e-commerce expansion",
        "tagline": "omnidock enables brands & manufacturers to sell on global e-commerce marketplaces",
        "body": "**TL;DR:** Our AI-powered operating system enables brands and manufacturers to sell on all global e-commerce marketplaces. \\\nUsing [omnidock](https://www.omnidock.com/), they sell through our local entities and pre-vetted marketplace accounts, as we act as their merchant of record. This increases their revenue by at least 20% immediately after using omnidock.\n\nWe’re live in the EU and already help more than 25 customers grow. 3 of them are enterprises.\n\n# **Problem 🚨 & Opportunity 🌟**\n\nExpanding to new geographies and marketplaces is a massive growth opportunity for brands and manufacturers, but it's complex and resource-intensive\n\nGlobal e-commerce marketplaces have varying requirements, are often gated, and demand multiple legal entities to operate. As a result, many merchants leave the potential untapped.\n\nThe marketplace landscape is more fragmented than ever. Since 2020 (COVID), alternative marketplaces in the US and EU are outgrowing generalists like Amazon and now account for over 40% of marketplace GMV in the US and 51% in the EU.\n\nAdditionally, manufacturers that work with us typically operate on production-focused ERPs like SAP. Integrating such ERPs into any marketplace is extremely expensive and takes months if not years.\n\n# **Solution🚀**\n\n**Brands simply plug into our operating system, and we:**\n\n* Read & asses their catalog for marketplace eligibility [**✅**](https://emojiterra.com/de/weises-hakchen/)\n* Modify their content via AI to meet marketplace-specific requirements (e.g., matching taxonomies for them) [**✅**](https://emojiterra.com/de/weises-hakchen/)\n* Launch their catalog through our pre-vetted marketplace accounts & entities [**✅**](https://emojiterra.com/de/weises-hakchen/)\n* Provide them with pre-negotiated logistic rates, usually\\~30% cheaper than their own rates [**✅**](https://emojiterra.com/de/weises-hakchen/)\n* Give them access to unified reporting, KPIs, and forecasts to manage growth [**✅**](https://emojiterra.com/de/weises-hakchen/)\n\nWe handle all transactions on their behalf, removing the challenges and complexities of multi-marketplace selling.\n\n![uploaded image](/media/?type=post&id=84142&key=user_uploads/1641067/faf0ca11-93d9-4811-912e-27f7705e8045)\n\n# **👬 Team:**\n\nWe decided to start [**omnidock**](https://omnidock.com/) as we were day 1 employees at a Berlin-based unicorn [Razor Group](https://techcrunch.com/2024/03/04/razor-and-perch-merge-raise-100m-on-a-1-7b-valuation-as-more-roll-ups-consolidate/). [Shayan](https://linkedin.com/in/shayan-zakerzadeh) and [Sebastian](https://www.linkedin.com/in/SebRoe) met in high school and have been friends for 12+ years. Most recently, [Christian](https://linkedin.com/in/christian-kohrs-a760b2117) was VP Warehousing & Logistics, Shayan was VP Expansion and Sebastian finalized his engineering master’s from TUD with focus on AI. \\\n\\\nWe scaled alternative marketplace revenues at Razor from 0 to $30m in less than a year and know from firsthand experience how unsolved this is.\n\n![uploaded image](/media/?type=post&id=84142&key=user_uploads/1641067/ddeee1cd-877b-44f7-bdbc-b89797827300)\n\n**❤️ How you can help**\n\nIf you know a brand or manufacturer of consumer goods that would like to expand globally, send us a message at [founders@omnidock.com](mailto:founders@soff.ai) 🙂\n\nWe are also hiring!",
        "url": "https://www.ycombinator.com/launches/Lt8-omnidock-the-os-for-global-e-commerce-expansion",
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        "created_at": "2024-09-19T16:33:57.311Z"
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        "id": 83836,
        "title": "pap! — Automatic refunds for consumers",
        "tagline": "We automate refunds for consumers when they shop, fly, travel, subscribe… and live.",
        "body": "**TLDR:** Every year, consumers miss out on more than **$50B** because they are not claiming the money they are entitled to. We built AI agents that claim it for them.\n\n![uploaded image](/media/?type=post&id=83836&key=user_uploads/1984796/7093e028-b7ff-4ac4-9942-f98c49b9d002)\n\n# The Problem 🚩\n\nWhen stuff you’ve already bought goes on sale or when flights you’ve booked are delayed, policies entitle you to money. But spotting these opportunities and claiming the cash you’re owed is time-consuming and confusing. Industries subject to such policies include retail, airlines, hotels, technology, and even the government.\n\n# Our Solution 💸\n\nWe're building AI that connects to your email inbox to: scan your e-receipts, identify opportunities to get you dollars, and automatically claim them by contacting customer service via email, phone, forms, or chat.\n\nWe started by automating refunds in the shopping industry and have secured $6,650, growing **233% MoM**. With AI, we've been able to generalize that same automation to tackle refunds in the flight industry and the class-action lawsuit landscape. That’s when we understood why this had never been done before…\n\n# Why now? 🚨\n\nAI enables us, for the first time, to automatically:\n\n1. **Reason about unstructured data at scale**\n2. **Handle complex, nuanced customer service interactions**\n\n \n\nGeneralizing securing refunds from one industry to all industries turns each step of the process into an unstructured data processing problem. For example, having a parser that can only understand Cotsco receipts and a scraper that can only read the price from the Costco website is not enough anymore: you need a parser that can understand changing receipts from all enterprises and a scraper that can read information from any website. The ability to reason about unstructured data at scale replaces the rigid, static software, solving the issue.\n\n### In short, PAP! represents an opportunity to finally realize the dream customer journey — sign up once, forget we exist, and earn money effortlessly.\n\n# Our Team 👨‍👨‍👦\n\n* [Weijie](https://www.linkedin.com/in/wjwang2/) (CTO) spent 6 years in e-commerce and was the lead infra engineer for Wish’s recommendation system, the product that fueled their IPO. He was a Senior SWE at Bolt and StackAdapt. He graduated from Waterloo & UIUC.\n* [Kamal](https://www.linkedin.com/in/kamal-nahas/) (CEO) earned a B.S. in Electrical Engineering and Computer Sciences from UC Berkeley, worked at Apple as a Security/ML software engineer intern, and met hundreds of engineers while working at Human Capital. He grew up in Lebanon, where he led operations resulting in 230+ families fed for an entire month and 25+ civilians housed.\n* [Anthony](https://www.linkedin.com/in/anthonyrassi/) (COO) graduated from USC in Computer Engineering and Computer Sciences and worked at Addepar as a software engineer intern. He also grew up in Lebanon, where he won a national hackathon, built a 5-figure affiliate marketing business, and led an engineering team at the country’s largest retailer.\n\n# Our Ask 🙏\n\n1. Sign up at [joinpap.com](http://joinpap.com) (_bonus_: share your feedback with us at [founders@joinpap.com](https://mailto:founders@joinpap.com)).\n2. **Share this post and tell your friends about it!** Everyone deserves to earn the money they are entitled to.",
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        "full_name": "Gideon Ebose",
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        "title": "Y Combinator-backed Rulebase wants to be the AI coworker for fintech | TechCrunch",
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        "title": "Beam - The real-time copilot for CX agents",
        "tagline": "Make your CX team bionic.",
        "body": "# **Hi YC,**\n\nI’m Gideon, co-founder of [Rulebase](https://rulebase.co/beam). Over the past 3 months, we’ve worked with CX and Ops teams from small 10-seat groups to global BPOs with over 100,000 agents studying how they operate and helping reduce average handle time (AHT) while staying compliant and reducing violations.\n\n# **The problem today**\n\nQA is a lagging indicator.\n\nLevel 2 and 3 CX agents manage the most complex issues but are forced to navigate multiple tools, chase missing context, and follow detailed processes from memory, live, under pressure. When mistakes happen, they’re often only caught in post-call QA reviews, long after the damage is done\n\nToday, we’re launching [Beam](https://rulebase.co/beam) the first CX copilot with perfect recall and real-time coaching, built to improve NPS, reduce AHT, and cut down compliance violations.\n\n<https://youtu.be/MaITmAAif4A>\n\n### Let me give you a typical scenario we see all the time:\n\nYou’re a fintech or work in a regulated industry. You’ve hired an offshore CX team say 50 agents and 5 QA specialists to make sure all your protocols are being followed and agents are being coached. Now over the last few months:\n\n* AHT has increased leading to you hiring more CX seats.\n* Compliance violations are rising from PCI breaches and you are facing more customer complaints.\n* Customer authentication has been skipped in some cases, leading to instances of fraud.\n* QA can’t manually review every call, and when issues are caught, it’s often days too late to fix them\n\n# **With Beam:**\n\n* Agents get real-time coaching on all protocols and compliance requirements\n* Violations are instantly flagged\n* Agents have perfect recall, including customer sentiment from past conversations\n* QA runs in real time, with auto-generated reports and continuous coaching\n* Fraud detection is built-in, blocking bad actors before they get through.\n\n\\\nIf any of the above sounds relevant to your team, we’re offering **YC companies their first 2 months free for up to 50 agents**. This includes full setup, mapping your protocols, and deploying Beam directly into your agent environment.\n\nInterested? Reach out here or book time on my [calendar](https://cal.com/gideonebose/30min), we’ll get you onboarded.",
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        "created_at": "2025-03-31T15:47:42.747Z"
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        "id": 85277,
        "title": "Rulebase: The voice fraud defense system for financial services",
        "tagline": "We use AI to defend financial services against voice-based attacks like ATOs and voice phishing.",
        "body": "Hi everyone, We're [@Gideon](https://www.linkedin.com/in/gideonos/) and [Chidi](https://www.linkedin.com/in/chidiwilliams/), founders of Rulebase.\n\n### **Problem**\n\nVoice-based frauds are growing exponentially, there was a 700% increase in voice phishing and deepfake voices in 2024, largely driven by the reasons below.\n\n* Scammers are using voice clones for phishing, account takeovers, and identity theft. Deploying 1,000 voice agents costs less than $55.\n* Fraudulent calls extend Average handling time (AHT), leaving service teams overstretched and reducing support for genuine customers.\n* Voice phishing costs up to $14 million per incident, straining resources and directly impacting the bottom line.\n\n### **Solution**\n\n<https://www.youtube.com/watch?v=Cwy7tySntyc&ab_channel=Rulebase%28YCF24%29>\n\n* We have trained a deepfake and fraud detection model to detect ATOs, impersonations, and other fraudulent scenarios.\n* We use voice phishing simulations to train employees and raise awareness about staying secure.\n\n  ![uploaded image](/media/?type=post&id=85277&key=user_uploads/1371446/6d5f7fa1-95f5-4020-a073-f8ca7851e294)\n\n\n### **Asks**\n\n* If you’d like to learn how we can help protect your organization from various types of fraud, please feel free to schedule a call with us [here.](https://cal.com/gideonebose/30min?date=2024-10-31&month=2024-10)\n* Warm intros to CISOs or Fraud teams who actively serve a lot of retail customers\n\n### **Team**\n\n![uploaded image](/media/?type=post&id=85277&key=user_uploads/1371446/20638cec-672a-4306-bc29-fd9744562317)\n\n[Gideon](https://www.linkedin.com/in/gideonos/) and [Chidi](https://www.linkedin.com/in/chidiwilliams/) spent the last 10 years building defensive systems at Goldman Sachs and Microsoft. We have taken all of our previous experience across financial services to design and build voice defensive systems.",
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        "full_name": "Aditya Tewari",
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        "title": "Praxis AI - Reasoning Agents Fine-Tuned for Manufacturing",
        "tagline": "Meet Praxis AI, the platform made to eliminate fire-fighting for manufacturing engineers",
        "body": "# TL;DR\n\nPraxis AI builds manufacturing-specific agents capable of reasoning and processing complex situations. Our engineering copilot predicts and prevents machine failures in real-time by solving problems the same way an engineer would. This results in proactive maintenance which helps prevent unplanned downtimes and quality defects.\n\n[Launch Video](https://www.youtube.com/watch?v=qJ41WG_X8pw):\n\n# The Problem\n\nWe have over 10 years of experience working in the manufacturing industry between the two of us. During that time we have noticed that manufacturing engineers are constantly being pulled in every direction due to production issues popping up in multiple parts of the plant. \n\nThis reactive approach results in:\n\n* Large amounts of unplanned downtime, resulting in lost throughput\n* Unnecessary wear and tear on expensive manufacturing machinery\n* Quality defects requiring non-value add rework prior to customer delivery\n\nFrom unplanned downtimes alone, US manufacturers lose over **$50 billion dollars per year**. \\\n\\\nUnfortunately, existing solutions are:\n\n* Complex and required large amounts of data science/computer science knowledge\n* Focused on dashboarding and KPI metrics\n* Extremely costly to implement and maintain\n* Not tailored for manufacturing use cases\n\n# The Solution\n\nPraxis AI provides manufacturing engineers with an end-to-end solution for identifying and root-causing machine issues by following a 5-step reasoning process. This mimics exactly how an engineer would solve an issue in the real world. Our platforms core competencies include:\n\n1. **SOTA AI architectures for manufacturing** - Our models have been specifically designed to work with time series data coming from the manufacturing shop floor.\n2. **No code tools for manufacturing engineers** - The Praxis AI platform can be used without ever touching a Jupyter notebook.\n3. **Explainable AI for root cause analysis** - Our UI gives users full visibility into the reasoning behind the output of our models, and our copilot Max.e.\n4. **Operationalized machine learning models** - Praxis ensures that every model that is built is able to be utilized every single day to drive actual changes on the shop-floor. It's not just a pretty dashboard to look at.\n\nThe Praxis platform provides the tools needed for engineers to make changes on their shop-floor which can lead to reductions in unplanned downtimes, reduced scrap/waste, improvements on the efficiency of their machines, and so much more. We’ve built the platform in a way that as we continue to work with more customers, we will be able to encompass more and more use cases. We’ve already begun preliminary work on adding production order optimization and maintenance backlog management to our solution suite. \n\n# The Team\n\n![uploaded image](/media/?type=post&id=85869&key=user_uploads/2229645/e65c1855-0e3c-4b5a-9014-22f633580153)\n\nWe have been working in the manufacturing industry for our entire professional career, and are extremely passionate about being on the cutting edge of manufacturing technology.\n\nRansika has worked at multiple manufacturing companies like GM, Tesla, and Rockwell Automation. During this time he has worked a variety of foundational manufacturing roles like manufacturing engineer, quality engineer, controls engineer, and production planner. During this time he managed multiple projects building and implementing various digital manufacturing projects globally which resulted in millions of dollars in cost savings per year. For the last two years he has been working at Deloitte as a product lead for Deloitte’s Intelligent Ops platform.\n\nAditya worked at Palantir for three years, ending his career there as a technical lead. During this time he specialized in converting pilots in the manufacturing vertical with a 100% success rate and a TCV of over $15 million dollars. Aditya has had a passion for ML/AI in manufacturing since early college, first excelling in the space by building a predictive model for General Motors and winning first in a data challenge of over 50 teams of PhD and masters students.\n\n# Our Ask\n\nIf you are interested in testing our solution out, we would love to be in touch to do a free factory assessment! We are looking to test our solution in a variety of different manufacturing environments, but have a particular affinity to continuous processes that can be found at paper mills, oil refineries, and chemical plants. Feel free to reach out at [founders@praxis-tech.ai](mailto:founders@praxis-tech.ai). Thanks!",
        "url": "https://www.ycombinator.com/launches/MKz-praxis-ai-reasoning-agents-fine-tuned-for-manufacturing",
        "votes": 61,
        "created_at": "2024-11-25T21:20:07.954Z"
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    "long_description": "Gander is building AI-powered technology that allows private jet operators to coordinate, maintain, and monetize their fleets all in one place.",
    "one_liner": "Automation System for Global Aviation",
    "team_size": 7,
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        "full_name": "Nelson Ray",
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        "full_name": "Ben Rhodes-Kropf",
        "title": "Founder/CTO",
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        "full_name": "Maciej Szymczyk",
        "title": "Founder",
        "founder_bio": "Maciej grew up in Poland, graduating with a maximum score (45/45) in the International Baccalaureate Diploma Program. He then came to Berkeley on a full scholarship from Rafal Brzoska Foundation to study Electrical Engineering & Computer Science, Business Administration, and Mathematics through the Management, Entrepreneurship, & Technology program.\n\nBefore college, he did ML research at the Human Brain Project and worked on InPost's Data & AI algorithms.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/maciej-szymczyk-74392b1b8",
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        "title": "Senior Software Engineer (Warsaw)",
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        "location": "Warsaw Office",
        "type": "Full-time",
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        "salary_range": "$100K - $120K",
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        "experience": "3+ years",
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        "title": "Full Stack Engineer (San Francisco)",
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        "location": "San Francisco, CA, US",
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        "title": "Business Development Representative",
        "url": "https://www.ycombinator.com/companies/salespatriot/jobs/pUPuVf2-business-development-representative",
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        "title": "Engineering Lead (Warsaw)",
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        "location": "Warsaw, Masovian Voivodeship, PL",
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    "id": 30231,
    "name": "Paragon",
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    "one_liner": "The AI Growth Engine for Industrials",
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        "full_name": "Ishir Vaidyanath",
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        "founder_bio": "Building AI for the heart of America",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/ishirv",
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        "full_name": "Kasyap Chakra",
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        "url": "https://www.ycombinator.com/companies/deployparagon/jobs/MqAO0SV-founding-engineer",
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        "id": 94163,
        "title": "Founding Sales",
        "url": "https://www.ycombinator.com/companies/deployparagon/jobs/AmShWrt-founding-sales",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
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      {
        "id": 92115,
        "title": "Paragon - Free money for distributors and manufacturers",
        "tagline": "The AI Growth Engine for Industrials",
        "body": "### **TL;DR**\n\nDistributors and high volume manufacturers are ignoring money:\n\n* Thousands of existing smaller customers get 0 follow-up or outreach from reps\n* Inside sales reps are doing data entry instead of engaging with customers\n  * Since they’re so backlogged, they often take a long time to respond to quotes, which drags down win-rate\n\nWhy? Humans can’t be everywhere at once, and justifiably only focus on the biggest few accounts.\n\nWe fix these problems. Customers use us to process hundreds of thousands of quotes and sales orders, as well as automatically nurture smaller accounts.\n\nBook a demo here:\n\nhttps://deployparagon.com/book-demo\n\nOur launch video: \\\nhttps://youtu.be/JbbfPPht02o\n\n### **The problem**\n\nHigh-volume distributors and manufacturers are leaving money on the table every single day:\n\n* Product quotes are sent out, but never followed up on\n* Great customers churn without a single conversation\n* High-value customers buy a fraction of what they could be purchasing if nurtured\n* and many more…\n\nWhy?\\\nInside sales people who do these for larger accounts are backlogged by manual order entry and quoting work. And the smaller accounts? There’s just too many. Thousands.\n\n**Paragon solves this.**\n\nHere’s how:\n\n**Paragon Forge (AI Revenue Engine):** Our AI figures out exactly who to reach and what to say, using your ERP data and your brand’s own voice. It takes care of proactive customer engagement, growing revenue on autopilot while your reps focus on the biggest accounts.\n\n**Paragon Surge (Quoting/Order Entry):** An easy-to-use Outlook add-in grabs RFQ and PO information directly from emails, spreadsheets, PDFs—whatever your customers send. Your reps simply review and submit without ever leaving their inbox.\n\nIn just weeks, customers see clear measurable results:\n\n* 5 hours more each day spent with customers\n* 90%+ reduction in quote response time.\n* Zero missed follow-ups on quotes\n* Higher re-order rates via personalized outreach re-engaging dormant customers\n* Higher retention rates via early alerts and outreach for churning accounts.\n* Revenue growth via a consistent rhythm of quality outbound messaging\n\n**Ready to stop leaving money on the table?** \\\n**Let’s connect:** https://deployparagon.com/book-demo",
        "url": "https://www.ycombinator.com/launches/Nxj-paragon-free-money-for-distributors-and-manufacturers",
        "votes": 118,
        "created_at": "2025-07-14T13:49:04.488Z"
      },
      {
        "id": 90296,
        "title": "Sift Flow: The World's Most Robust Conversational AI Support Agent",
        "tagline": "Don’t compromise on customer experience",
        "body": "Hey everyone, we're Ishir and Kaushik, the founders of Sift.\n\nWe initially built a root-cause analysis tool using log data but quickly realized customer interactions were essential for understanding anomalies. So, we created a system to analyze and evaluate every customer support interaction: human or AI.\n\n### ❌ The Problem\n\n_Most companies struggle to pinpoint gaps in their customer support.._\n\nCurrent solutions typically require heavy engineering investment, manual oversight, and still miss critical customer friction points. And attempts to automate frequently produce costly mistakes.\n\n### ✅ The Solution\n\nSift Flow is state-of-the-art conversational AI for customer support and anomaly detection. Our system evaluates every support interaction across all channels, precisely measuring customer frustration, churn risks, and compliance issues. We've developed the industry's most robust AI stress-testing suite, rigorously evaluating agents against adversarial prompts, policy fuzzing, and complex edge cases—ensuring over 99% accuracy before deployment.\n\nSift Flow is seamless to implement, with our white-glove service requiring minimal engineering effort. We handle the ingestion, analysis, and automation end-to-end, delivering immediate value without burdening your technical staff.\n\n![uploaded image](/media/?type=post&id=90296&key=user_uploads/1522101/3bcf694f-f266-4cf5-8951-ddfa1eb1a4bc)\n\n### 🧩 Team\n\nOur founding team brings deep machine learning and infrastructure experience from IMC Trading, DataDog, Splunk, and the University of Pennsylvania.\n\n### 🙋 Our Ask\n\nSift Flow is already trusted by leading software companies integrating customer support with real-time log analysis, and we're rapidly expanding into financial services, manufacturing, and other industries.",
        "url": "https://www.ycombinator.com/launches/NUO-sift-flow-the-world-s-most-robust-conversational-ai-support-agent",
        "votes": 15,
        "created_at": "2025-05-12T16:01:43.891Z"
      },
      {
        "id": 88040,
        "title": "Sift: The Anti-Logging Platform",
        "tagline": "Sift is the AI-driven engine transforming chaotic streams of observability data into valuable intelligence. Transform chaos into clarity. Leave the logs behind.",
        "body": "**Sift** transforms your logs from overwhelming chaos to clear, powerful insights. Our platform profiles, analyzes, and routes your logging data, intelligently eliminating noise and highlighting critical data. Continuously learning and adapting, Sift evolves with your data to keep you ahead of every challenge.\n\n<https://youtu.be/wwV51eEy59s>\n\n## **How We Got Here**\n\nWhile seeing band aid logging products launched at both Datadog and Splunk, we witnessed firsthand how traditional logging tools overwhelm developers with data—burying critical insights under mountains of noise. Teams waste countless hours sifting through logs, missing the signals that matter most. Meanwhile, costs escalate as volumes grow, and early decisions limit vendor flexibility. We realized the problem wasn't just about collecting logs but in really understanding them.\n\nFrustrated by these limitations, our mission for Sift became clear: create an anti-logging platform that gives developers control over their data while unlocking its true potential.\n\n## **Sift through your data, intelligently**\n\n<https://youtu.be/uQ-TTdiu3fc>\n\nSift is designed to flip the script on traditional logging. We’re not here to simply collect logs; we’re here to transform them into actionable intelligence that empowers developers and drives smarter decision-making.\n\n1. **Profile, analyze, and continuously optimize** your logging data to find meaningful patterns without digging through mountains of information.\n2. **Send your logs** exactly where they need to go, integrating right into your existing tooling\n3. **Format and manage** your log volume precisely to focus on the information that matters most.\n\n## **How Sift Works**\n\n**Quick Setup:** Launch Sift with minimal configuration—start sending data in minutes.\n\n**Seamless Integration:** Connect effortlessly with your existing logging infrastructure, with support for over 40 different integrations\n\n**Dynamic Adaptation:** Our system continuously learns from your logs, optimizing rules and suggesting smart routing—like sending low-value logs to cost-effective storage solutions.\n\n## **Reach out to the team**\n\n[founders@runsift.com](mailto:founders@trysift.dev)\n\n![uploaded image](/media/?type=post&id=88040&key=user_uploads/1036135/00bd588b-9f2c-4252-988b-b6530123283f)\n\nIshir (CEO): ex-Splunk engineering, ex-IMC Trading, ex-Penn M&T\n\nKaushik (CTO): ex-Datadog PM, ex-EY Parthenon, previous founder & hackathon addict, 2x early engineer, ex-Penn M&T",
        "url": "https://www.ycombinator.com/launches/Mu0-sift-the-anti-logging-platform",
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        "created_at": "2025-02-25T22:49:34.958Z"
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    "long_description": "End-to-end accounting workflows executed by AI agents.\r\n- Invoice capture + upload to ERP/POS\r\n- Invoice payment + reconciliation\r\n- Tax filings\r\n- CFO insights on demand",
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        "full_name": "Juan Pisco",
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        "founder_bio": "Building the AI Accounting Agent for Accounting Firms. Exit tripplanner.ai (3M+ users). Technical.",
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    "long_description": "Atlog creates voice agents with built-in compliance purpose built for Outbound. Companies use Atlog to automate their calls and texts without worrying about getting sued.",
    "one_liner": "Outbound voice and text AI without a prompt",
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    "year_founded": 2024,
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    "long_description": "Autostep maps how work happens across a company for humans and agents, finds repetitive tasks and bottlenecks, and ranks them by cost and impact. Then it fixes them by building agents inside existing tools, changing the process, or finding the right software.\r\n",
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        "full_name": "Aidan Pratt 🥑",
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        "title": "Founding Engineer, ML + Forward Deployment",
        "url": "https://www.ycombinator.com/companies/autostep/jobs/7XJCOTX-founding-engineer-ml-forward-deployment",
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        "title": "Founding GTM/SDR",
        "url": "https://www.ycombinator.com/companies/autostep/jobs/ySZUtf3-founding-gtm-sdr",
        "location": "San Francisco, CA, US",
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      {
        "id": 103675,
        "title": "Autostep: Measure the ROI of Knowledge Work",
        "tagline": "Autostep: Measure Human and Agent ROI",
        "body": "I'm Aidan, founder of Autostep. We are raising to enable the P&amp;L of knowledge work (link below).\n\n\\\nMost companies can tell you what they spend on AI. Almost none can tell you what came back. \n\nAutostep is a desktop app that installs across a company and maps real work. It finds repeated tasks, bottlenecks, waiting, and admin loops, then ranks them by cost and impact.\n\n\\\nFrom there, Autostep helps decide what should happen next: build an agent, change the process, standardize the workflow, or use software the company already pays for.\n\n\\\nProduct video: <https://youtu.be/xxzvZKfVdKM>\n\nThe problem we are solving:\n\n* The blocker for AI adoption is proof and discovery. Before rollout, teams need the workflow to target and the capacity returned after the fix.\n* They still struggle to answer the board-level question: Did this return results? Autostep answers that from the work itself.\n\n\\\nHow it works:\n\n1. Install once across the org. No integrations\n2. Discover the cost of human &amp; agent tasks.\n3. Measure Human ROI: where people lose time and how much capacity can come back.\n4. Measure Agent ROI: which AI workflows earn their cost and which burn money.\n5. Act: remove the step, standardize it, route it to the right tool, or build the agent.\n\nThe long-term bet is that Autostep becomes the system of record for work: the layer a company uses to see capacity, measure AI payoff, and eventually pay people for working smarter. This is different than automating a bad process faster.\n\n\\\nWe are already working with companies that have the same pain: leaders want AI to work, and operators need the scorecard before they add one more workflow to manage.\n\n\\\nOur ask:\n\n* If you know a COO, CFO, ops leader, or founder trying to prove whether AI is paying back, we would love an intro.\n* If you build agents or workflow automation products, let's talk. Autostep finds the work and can route teams to the right fix.\n* If you are an angel who believes every company will need an AI ROI layer, Aidan would love to compare notes.\n\nBook a demo: <https://calendly.com/aidan_/autostep>\n\nInvestors: <https://calendly.com/aidan_/p26>\n\nExample human tasks:\n\n![uploaded image](/media/?type=post&id=103675&key=user_uploads/403669/efe32ee3-91a7-4339-84a7-824e776fa5a7)\n\nRecommendations:\n\n![uploaded image](/media/?type=post&id=103675&key=user_uploads/403669/1c03b4d2-5676-4caf-af57-5ebbaac1a3c4)\n\n",
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        "id": 98260,
        "title": "Autostep - Uncover Repetitive Tasks Ready For AI",
        "tagline": "Welcome to Autostep - Uncover Your Repetitive Tasks Ready For AI and Automate Them",
        "body": "Hey YC - I'm Aidan, founder of Autostep.\n\n**TLDR:** Every company wants to deploy AI agents, but almost none have a way to identify their best use cases. Autostep is a desktop app that installs across your organization to surface repetitive, high-cost tasks that fly under the radar. We rank them by cost and impact so you know what's worth automating, then build or find the right fix - whether that's an AI agent, a process change, or an existing tool.\n\n**Product:** <https://www.youtube.com/watch?v=zLn5WvoYtCk>\n\n**The Problem**\n\nThe bottleneck isn't tooling anymore, it's discovery. Without visibility into what people actually do all day, automation efforts are shots in the dark. Autostep is the layer that makes agent deployment rational instead of random.\n\nAutomation vendors start with the solution and hope you know the problem. We start with the problem.\n\n**Why Now**\n\nThe AI agent market is exploding, but adoption is stalling because there's no way to map operations at the level agents actually need. Autostep is the operational intelligence layer that every company will need before they can meaningfully deploy agents. We're not competing with agent builders - we're the prerequisite.\n\n**Compounding Context**\n\nThe tooling landscape shifts every month - new agents, new platforms, new vendors - and no team feels like they can keep up. Autostep gives you a living map of your operations, so you're not chasing the next tool. You're building compounding context about how your company actually works. When better AI arrives, you're ready to use the latest - not starting over. You stay ahead of competitors.\n\nThis is for those who want visibility into what their teams actually do - and agents that fit the work, not work that fits the agents.\n\n**Backstory**\n\nI’m Aidan. I studied ML and CS at Georgia Tech and have been building and shipping products since I was a kid. I’ve also spent the past 6 years working on automation-based products that led to this moment. Working at seed to Series A startups with strong PMF, I saw the same pattern over and over: companies wanted to automate but had no systematic way to figure out what was actually worth automating. That discovery gap is what Autostep solves.\n\n**Our Ask**\n\nIf you know any operations leaders or C-suite/leadership at companies who want visibility into what their teams are actually doing before throwing AI at the problem - we'd love an intro.\n\n**Book a demo: [https://calendly.com/aidan\\_/autostep](https://calendly.com/aidan_/autostep)**\n\nReach me, shoot an intro, or ask questions: 📧 [aidan@autostep.ai](mailto:aidan@autostep.ai)\n\nP.S.\n\n**Landing page (Just updated)**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/2cafa97a-22cb-475d-9d2d-b9d275fd4206)\n\n**Tasks**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/abdeeff0-e4ee-48a8-82e2-c1e2724d11c3)\n\n**Recommendations**\n\n![uploaded image](/media/?type=post&id=98260&key=user_uploads/403669/2f117d23-2aaa-4f5e-bdd8-7d6a4f1dd7e6)\n\nLooking forward to making everyone auto-agentic,\n\n\\-A",
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    "all_locations": "San Francisco, CA, USA",
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        "full_name": "Adityavardhan Agrawal",
        "title": "Founder",
        "founder_bio": "Building Morphik. Prev @MongoDB, worked on scalable database algorithms. Graduated Cornell University in 2022.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/adityav369/",
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        "full_name": "Arnav Agrawal",
        "title": "Founder",
        "founder_bio": "I was one of 3 students in all of India to receive the Tata Scholarship, which allowed me to study Computer Science at Cornell. I dropped out to build Morphik after experiencing terrible RAG and enterprise search first-hand during my co-op at Amazon Robotics. While there, I developed a configuration compiler that sped-up deployment of the Sparrow and Cardinal stations to new locations. \n\nI also developed and taught a course in ML Operations and AI as an undergrad at Cornell.   ",
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        "id": 90212,
        "title": "Morphik: Open‑source multimodal RAG that works on technical docs",
        "tagline": "Turn your complex private data into grounded answers",
        "body": "Hey YC! 👋 We’re Adi and Arnav, co-founders of Morphik (https://morphik.ai).\n\n### **TL;DR**\n\n* **Problem:** Knowledge workers spend a lot of their time searching complex documentation with diagrams, tables, or spreadsheets, just to find relevant information. Text‑only RAG misses details, hallucinates, and provides half-baked responses.\n* **Solution:** Morphik embeds whole pages (image + text, no OCR), auto‑builds a knowledge graph, and serves it through a UI, SDK, or REST API. We have 90 % accuracy on arXiv QA (and we can fine-tune for your use case 🙂).\n\nWatch our demo video: https://www.youtube.com/watch?v=3adZQhm5JZY\n\n### **Problem**\n\nRAG breaks the moment documents stop being blobs of text.\n\n* Knowledge workers spend a lot of their time (people we spoke with said 50-70% time just in the research phase). eg. electrical engineers finding perfect PCB spec, pharma companies trying to search ELNs for similar experiments.\n* 80% of enterprise knowledge lives in diagrams, tables, images, CAD, scanned pdfs, not .txt.\n* “Multimodal” models still hallucinate or miss key context because the retrieval step sees only text, or they rely on tools to retrieve diagrams, or context. (https://docs.morphik.ai/blogs/gpt-vs-morphik-multimodal)\n* Teams glue together OCR, vector DBs, and regex‑heavy ETL that becomes a brittle monstrosity.\n\n### **Solution**\n\nDirectly embedding and search over page images\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdzvQJeEBmnvZI1Mkl2ZYCtsN0AG4Mx5JpcN4RtivMfndGshgTkj1uZcb8BkFAkXXNCpg9TPqeIKsqCXscaLzGDNO2e8TFn8naJPkJ_XtceDHlwNrAAcV69QGYlzSOwvdofI7FksQ?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nWhen you ingest in Morphik, in addition to OCR, we create direct embeddings for the image of a page (or frames in a video). When you ask “Colpali comparison to standard RAG”, the LLM sees the actual page image, so multimodal models can reason over arrows, labels, scales, and colours just like a human.\n\n### **Rules Engine**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcOXXa3wTpZV26zi8kaucVOt2QuUgKKfrdvlyqlFfeHmDUudWpNaS-r6KNm5--4Joz4rE5tsiu_NDqlHnRE914l7ad4YtKRRLc_X1gm7BteBR0aMN446aia7LGA1l7b2UJMor97?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nWhen ingesting, you can define rules for data extraction (which would again consider tables, diagrams), or define natural language rules for PII redaction, or content transformation.\n\n### **Deployment ready, scalable**\n\nMorphik comes built in with folder scoping, end user scoping, GPU accelerations, and fine grained permissions, so you can prototype and deploy with enterprise grade features. It’s end‑to‑end, so you don’t scramble to make duct tape fixes.\n\n### **One more thing…Morphik Research Agent**\n\n![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXcL9LvkrH861vRDhuFlYlBy0LsjlhMOYVBLRLdnj903G5L3QMgx12ziGZJhO_h2SzAakjD27e0Yeu4XZwmsE4Yv1BGNRj-OGc41i798xy_UW9MVHISzJy0GBrTsOWWqWBGdtGKhmg?key=wmYsqYRKzN1ploJFaFpgwCeu)\n\nOur research agent uses Morphik’s retrieval, graph, and extraction APIs as tools. It chains them automatically, jumping from doc to doc, node to node, seeing figures, till it finds the needle in the haystack, or has enough context to answer your questions. “Describe the third pin on the USBC21 diagram” will get the diagram, find the pin, jump to the table with pin descriptions, jump to page 13 to “find more details on page 13”.\n\n### **Why we might be interesting to you**\n\n* Building an internal ChatGPT over messy manuals? Morphik is the fastest way to ship something users _trust_.\n* Developing an AI product? Swap your vector‑DB‑plus‑duct‑tape stack for a single SDK call.\n* Researching graph‑RAG? CAG? We have it all.\n\n### **Our Ask 🙏**\n\n1. **⭐ Star / watch** https://github.com/morphik-org/morphik-core – open source momentum matters.\n2. **Introductions** to teams drowning in technical docs (healthcare, manufacturing, legal, electrical engineers).\n3. Tell us **what still hurts in your RAG stack**, comment, **DM, or email** [founders@morphik.ai](mailto:founders@morphik.ai) or [book a call](https://cal.com/adityavardhan-agrawal-x6jyhq/30min).\n\nThanks for reading!\n\nAdi & Arnav",
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        "votes": 71,
        "created_at": "2025-05-09T14:13:45.820Z"
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    "name": "Socratix AI",
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    "long_description": "Socratix builds AI coworkers for fraud and compliance teams so that humans don't have to spend their days drowning in alerts and spreadsheets.\r\n\r\nToday, fraud and risk teams at fintechs and banks are overwhelmed. Analysts jump between tools, manually stitch together context, and make judgment calls under pressure, often for hundreds of alerts a week. Too much of their work is slow, repetitive, and error-prone. We're here to change that. \r\n\r\nSocratix gives fraud and risk teams AI coworkers that investigate alerts in real time, replacing manual reviews with fast, explainable decisions. Socratix agents plug into existing workflows and reason across signals just like human analysts to help teams reduce fraud losses, minimize false positives, and scale operations without scaling headcount.\r\n\r\nWe've seen this problem firsthand. At DoorDash, Riya helped save $30M+ a year by building smarter fraud detection and investigation tooling, and at Unit21, she built products for analysts that made them 3X faster. We're able to build and sell enterprise-grade software. At Cruise, Satya built scalable AI systems powering petabyte-scale data, and at LinkedIn, he built enterprise products from 0 to 1 generating $50M+ in incremental revenue. Now, the two of us are teaming up to eliminate the manual toil in fraud and compliance.\r\n\r\nWe're obsessed with fraud, LLMs, real-world automation, and the messy edge cases traditional ML has trouble handling. We believe that every fraud analyst should have an AI coworker - and the future of fraud will involve combining human-level reasoning with machine-speed execution. ",
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    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1752778488,
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    "country": "US",
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        "full_name": "Riya Jagetia",
        "title": "Founder/CEO",
        "founder_bio": "I studied CS at MIT and previously built AI agents for investigations, ML models, real-time monitoring, and anomaly detection for fraud teams at DoorDash and Unit21. Now, I'm building AI coworkers for fraud and risk teams that combine human-level reasoning with machine-speed execution.\n",
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        "full_name": "Satya Vasanth Tumati",
        "title": "Founder/CTO",
        "founder_bio": "Passionate about applying AI to solve complex but boring real-world problems. Now, building the future of AI powered fraud and risk operations at Socratix.\nPreviously built petabyte scale search and mining systems at Cruise and built some of Linkedin's enterprise marketing products from scratch generating $50M incrementally. Studied CS at UCLA, IIT Hyd",
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        "title": "Member of Technical Staff, AI Agents",
        "url": "https://www.ycombinator.com/companies/socratix-ai/jobs/JtqwNF7-member-of-technical-staff-ai-agents",
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        "id": 92776,
        "title": "Socratix AI: AI Coworkers for Fraud and Risk Teams",
        "tagline": "Socratix provides AI agents that function like fraud and risk analysts - only faster, cheaper, and always-on.",
        "body": "Hi everyone,\\\nWe’re [Riya](https://www.linkedin.com/in/riya-jagetia/) & [Satya](https://www.linkedin.com/in/satya-vasanth/) - the co-founders of [Socratix AI](http://getsocratix.ai/). We’re building AI coworkers for fraud and risk teams so that people don't have to spend their days drowning in alerts and spreadsheets.\n\nhttps://www.youtube.com/watch?v=_-ds8g2SgIg\n\n# ❌ **The Problem:**\n\nToday, fraud and risk teams at fintechs and banks are overwhelmed. They're reviewing **hundreds of alerts per week** - jumping between tools, manually gathering context, and making tough judgment calls under pressure.\n\nThe work is **repetitive, slow, and prone to error**. Hiring more analysts is slow and expensive. Meanwhile, fraudsters are creative, constantly evolving their tactics to bypass static rules and outdated ML models.\n\nThe result: overwhelmed teams, blocked good users, and missed real threats.\n\n# ✅ **The Solution:**\n\nSocratix gives fraud and risk teams AI coworkers - **agents that think like human analysts but operate 24/7 and scale effortlessly.**\n\nOur agents plug into existing tools and workflows to:\n\n* Ingest alerts\n* Pull rich context (accounts, devices, behaviors, history)\n* Assess risk using past cases and SOPs\n* Auto-close false positives\n* Escalate high-risk cases with clear rationale and next steps\n\nThe result is fewer fraud losses, reduced false positives, and better customer experiences - all without scaling headcount.\n\n# [**👬**](https://emojipedia.org/men-holding-hands) **The Team:**\n\n![uploaded image](/media/?type=post&id=92776&key=user_uploads/644801/f528f61b-67b4-4a51-95b0-970e85b4e13c)\n\nWe’ve seen this problem up close, and we’ve felt both sides: the manual pain of fraud operations and the transformative power of autonomous AI.\n\nRiya (CEO) previously led the development of AI/ML fraud detection and investigation tools at DoorDash and Unit21, helping prevent tens of millions of dollars in fraud losses and making analysts 3X more efficient. She holds a Computer Science degree from MIT.\n\nSatya (CTO) previously built enterprise-grade AI/ML systems for real-world autonomy - most recently at Cruise. He has worked with ML and software engineering his entire career. He holds a Computer Science degree from IIT and a Master’s in Computer Science from UCLA.\n\nWe’ve been in the trenches - stitching together context across messy tools, triaging endless alerts, and scrambling to keep up with evolving threats. **Now, we’re teaming up to** **bring autonomous AI to fraud and risk - and eliminate the manual toil for good.**\n\n# **🙏 Our Ask:**\n\nIf you’re a fintech, marketplace, or financial institution drowning in fraud ops, alert fatigue, or growing backlogs - we’d love to help. Whether you’re rebuilding your fraud stack, struggling with your false positives, or curious about AI agents for your workflows, we’d love to share what we’re seeing in the space and show you a demo! \\\n\\\n👉 Contact us at [riya@getsocratix.ai](https://mailto:riya@getsocratix.ai) and [satya@getsocratix.ai](https://mailto:satya@getsocratix.ai)\n\n🕐 Book a time [here](https://calendly.com/riya-getsocratix/30min)",
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        "votes": 16,
        "created_at": "2025-08-06T16:56:52.508Z"
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    "id": 30765,
    "name": "Pollen",
    "slug": "pollen",
    "former_names": [
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    "website": "https://www.pollen.cx/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Pollen gives firms an AI employee trained on their exact workflows.",
    "one_liner": "AI employees trained on your firm's workflows.",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1754592638,
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    "batch": "Winter 2026",
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    "url": "https://www.ycombinator.com/companies/pollen",
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    "country": "US",
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        "full_name": "Noah Yin",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ Pollen | CS grad @ UC Berkeley | Integrated ML in Amazon Maps app used by 100k+ Prime drivers | Published 6 apps with cofounders | Conducted ML research on COVID-19 classification at Columbia. ",
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        "full_name": "Aldrin Ong",
        "title": "Founder/CTO",
        "founder_bio": "Engineering @ Pollen. Berkeley CS '25. Aldrin worked at AWS as a SWE twice, where he implemented AI context retrieval pipelines and search indices, serving 3M users. Started building iOS and android apps at 15 and published 3 apps on the App Store. ",
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        "full_name": "Jeffrey Yum",
        "title": "Founder/COO",
        "founder_bio": "Co-Founder & COO @ Pollen | Berkeley EECS | Ex. LLNL | AI employees for document-heavy firms.",
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        "id": 97932,
        "title": "Pollen: AI agents for customer success",
        "tagline": "AI agents that make every customer feel like they’re your first.",
        "body": "Hey everyone 👋\\\n\\\nWe’re[ Noah](https://www.linkedin.com/in/noah-yin/),[ Jeffrey](https://www.linkedin.com/in/jeffreyyum/), and[ Aldrin](https://www.linkedin.com/in/aldrin0n9/) - Co-founders of [**Pollen**](https://www.pollen.cx/).\\\n\\\n**TL;DR:** Pollen monitors every customer account 24/7 with AI agents that catch churn, spot upsells, and tell your team exactly what to do next.\n\n* **Connects to your stack** - email, support tickets, product usage, CRM, and external news feed into one unified view of account health\n* **AI agents watch every account** - detecting churn risks and upsell opportunities as they emerge\n* **Tells you exactly what to do** - prioritized list of accounts and suggested actions with context\n* **Act without leaving Pollen** - draft emails, prep QBR decks, build renewal strategies, or chat with Pollen to get instant answers across your entire book of business\n\n**The Ask:** Know a Founder, CS leader, or Head of Revenue who's scaling their team and losing sleep over churn?\\\n**Introduce them to us!** Reach out directly: [**founders@pollen.cx**](mailto:founders@pollen.cx) / book a demo[ here](https://cal.com/pollencx/pollen-demo).\n\n<https://youtu.be/RsvdT5sXEvY>\n\n**❌ The Problem**\n\nCompanies invest millions acquiring customers, but the customer success teams responsible for retaining and growing them are stretched thin - managing 40+ accounts each, piecing together signals across 5+ sources. Churn risks go unnoticed, and expansion opportunities are left on the table.\n\nOur team spent months shadowing CSMs, sitting in on QBRs, and studying how accounts slip through the cracks.\n\n**The same patterns kept showing up:**\n\n* Watching healthy-looking accounts churn because no one caught the warning signs in time\n* Spending hours prepping QBRs with stale data pulled from five different tools\n* Hiring more CSMs as the only way to maintain coverage\n* Knowing the signals existed, just not having the bandwidth to act on them\n\n**Why hasn't this been solved?**\n\nBecause existing CS platforms are dashboards, not teammates. They organize data but still depend entirely on humans to monitor, interpret, and act across every account. The industry's answer to more customers has always been more headcount, which doesn't scale.\n\n**✅ Our Solution**\n\nPollen gives every customer account its own AI agent. We connect to your email, support tickets, product usage data, and external news to **detect real churn and upsell signals.**\n\nThen, Pollen flags exactly **which accounts need attention today, why, and what to do next.** Need to send a re-engagement email? Pollen drafts it. Prepping for a QBR? Pollen builds the deck. Wondering which accounts are most at risk this quarter? Just ask.\n\nNo more busy work or scaling headcount just to keep relationships alive. Pollen’s goal is to make every customer feel like they're your first.\n\nWe're already monitoring accounts for companies that are scaling their CS motion with Pollen. We've caught usage dips, support ticket sentiment shifts, and even expansion signals like new office openings. These were all signals the CS teams didn't have the bandwidth to find.\n\n**👬 The Team**\n\nWe're **Noah** (Berkeley CS), **Jeff** (Berkeley EECS), and **Aldrin** (Berkeley CS), a team of college friends and founders who've been shipping products together for 4 years, now building the agentic platform for customer success.\n\n![uploaded image](/media/?type=post&id=97932&key=user_uploads/2573316/b2ccf6c9-04e6-4650-81e7-3e50672971a1)\n\n",
        "url": "https://www.ycombinator.com/launches/PTY-pollen-ai-agents-for-customer-success",
        "votes": 25,
        "created_at": "2026-02-18T21:25:06.621Z"
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    "name": "Smartbase",
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    "website": "https://www.smartbase.so/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Smartbase is an AI-native ERP for manufacturers.",
    "one_liner": "AI-native ERP for manufacturers",
    "team_size": 2,
    "industry": "B2B",
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    "launched_at": 1753758221,
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    "batch": "Spring 2026",
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    "url": "https://www.ycombinator.com/companies/smartbase",
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    "year_founded": 2025,
    "city": "San Francisco",
    "country": "US",
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      "name": "Harj Taggar",
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        "user_id": 1892312,
        "full_name": "Taira Fujioka",
        "title": "Founder/CTO",
        "founder_bio": "CTO @ Smartbase. Prev youngest SDE 2 at AWS SageMaker/Bedrock Inference building inference infra for enterprises such as Salesforce and JP Morgan.",
        "is_active": true,
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      {
        "id": 99744,
        "title": "Smartbase: automated PO entry for manufacturers",
        "tagline": "We help manufacturers (e.g. job shops) remove the manual work from order entry.",
        "body": "Hey! We’re [Sam](https://www.linkedin.com/in/sam-goldman/) and [Taira](https://www.linkedin.com/in/taira-fujioka1999420/), the co-founders of [Smartbase](https://smartbase.so/).\n\n[**https://youtu.be/EsevybYIIrA**](https://youtu.be/EsevybYIIrA)\n\n# **The Problem**\n\nToday, incoming purchase orders are still entered into the ERP by hand.\n\nThis process often requires multiple full-time employees, especially for manufacturers doing custom or high-mix work.\n\nOrders arrive in every format imaginable: paper, email, fax, and sometimes even handwritten.\n\n# **The Solution**\n\nHere’s how Smartbase automates order entry:\n\n1. **Import POs**: Upload scanned orders to Smartbase, or connect Smartbase to your inbox for emailed orders.\n2. **Automatic data extraction**: Our AI turns even the messiest POs into ERP-ready data using your custom business rules (e.g. customer-specific pricing).\n3. **Review and approve**: Review orders in our dashboard, then click approve. They'll appear in your ERP.\n4. **Automatically print travelers**: Optionally, Smartbase can automatically print the travelers from your ERP.\n\n# **Our Team**\n\nWe’ve worked on factory floors, sat side-by-side with employees to learn their workflows, and even slept at a factory.\n\nSam (CEO) previously founded a DevOps platform that raised $2M. Taira (CTO) was the youngest SDE 2 at AWS SageMaker Inference, where he built AI infrastructure for enterprises such as Salesforce.\n\n# **Our Ask**\n\nIf you know someone who works at a manufacturer, we’d love an intro! Just email [sam@smartbase.so](mailto:sam@smartbase.so) to connect us.\n\nIf you’re interested in using Smartbase, schedule some time to chat [here](https://calendly.com/d/cr5v-f9f-kb3/smartbase).",
        "url": "https://www.ycombinator.com/launches/Pwm-smartbase-automated-po-entry-for-manufacturers",
        "votes": 23,
        "created_at": "2026-04-15T15:01:47.689Z"
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    "id": 30785,
    "name": "RowFlow",
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    "website": "https://rowflow.ai",
    "all_locations": "New York City, NY, USA",
    "long_description": "RowFlow replaces clunky web forms with natural conversations that run over text, slack, or wherever your users are. Our platform increases your form’s response rates while cutting your internal overhead in half. \r\n\r\nWith RowFlow, you can take any existing form and instantly convert it into an AI-powered conversation. New flows launch in minutes and reach respondents over your preferred channel or embedded chat. We guide the exchange, follow up automatically, and return clean structured data without extra work from your team.\r\n\r\nForms power billions of business interactions yearly. Whether it’s forms for client intake, registrations, compliance, feedback, or surveys, they all follow the same painful pattern: low conversion, messy data, and frustrated users. Teams have long tolerated forms only because there's been no scalable alternative for collecting structured information from people - until now. Our goal is for RowFlow to become the new default way for how organizations collect user data in an AI-first world.",
    "one_liner": "Replacing forms with AI conversations",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1756177645,
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        "user_id": 644079,
        "full_name": "Alec Olesky",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder at RowFlow.\n\nPreviously was a quant trader at Virtu Finacial and Hack VC, and before that a software engineer at Meta.\n\nI studied comp-sci at UPenn (where I met my cofounder Jack).",
        "is_active": true,
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      {
        "user_id": 2767809,
        "full_name": "Jack Bubes",
        "title": "Founder/COO",
        "founder_bio": "Jack is the co-founder of RowFlow. He spent 8 years scaling marketplaces at Uber, Shef (YC19), and Faire (YC17), where he built 0-to-1 operational systems, standardized messy onboarding flows, and most recently led human-in-the-loop ML programs. He holds a degree in Statistics and Operations from Wharton, where he graduated in 2017.",
        "is_active": true,
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      {
        "id": 93357,
        "title": "RowFlow: Turn any form into an AI conversation",
        "tagline": "We replace clunky webforms with AI conversations that get more responses faster",
        "body": "**Hey all -** we’re Jack and Alec, co-founders of **RowFlow**.\n\n**TL;DR**\n\nRowFlow can take any existing static form and instantly convert it into a dynamic AI-powered conversation. New flows launch in minutes and reach respondents over text, Slack, embedded chat, or wherever your users are. We guide the exchange, follow up automatically, and return clean structured data without extra work from your team. Compared to traditional webforms, our AI-native approach delivers higher completions, less overhead, and a better user experience.\n\n**Want to see it in action? [Try our demo here.](https://rowflow.ai/)**\n\n**Have a form that users hate filling out? [Schedule a call with us here.](https://calendly.com/rowflow/discovery-call)**\n\n![uploaded image](/media/?type=post&id=93357&key=user_uploads/2767809/755cae46-1c7f-4e48-a9e2-733e1d68348b)\n\n**Problem**\\\nForms suck. They power power billions of business interactions yearly _(think: lead qualification, customer onboarding, client intake, feedback forms, surveys, event RSVPs, registration forms, compliance, healthcare…the list goes on),_ but most have:\n\n* **Low conversion:** too many users provide half-answers or drop off before completing.\n* **Time drain:** teams waste hours building complex logic, chasing non-responders, hand-holding, and cleaning messy data.\n* **Poor user experience:** even when forms do work, they frustrate users and hurt your brand.\n\nTeams have been forced to tolerate these pain points as there's been no scalable alternative for collecting structured information from people - until now.\n\n---\n\nhttps://www.youtube.com/watch?v=MrchVB7RHmg\n\n\\\n**Solution**\\\nWith RowFlow, we abstract away from the static form structure altogether. It works like this:\n\n1. Say what data you need ([or try our Google Form converter](https://rowflow.ai/)).\n2. RowFlow runs guided AI conversations over text, Slack, email, or embedded chat with automated follow-ups.\n3. You get clean, structured data delivered into your systems.\n\nOur goal is for RowFlow to become the new default way for how organizations collect needed user data in an AI-first world.\n\n---\n\n**Ask:**\n\n1. Do you have a form with low response rate? If so, we’d love to help - [**you can book a call with us here**](https://calendly.com/rowflow/discovery-call)!\n2. If you have to fill out a form in the wild that makes you go 🤬, send a screenshot to [**jack@rowflow.ai**](mailto:jack@rowflow.ai) and we’ll take it from there.\n\n\\\n**About Us:**\n\nJack and Alec met as freshmen at UPenn and we always knew we’d build something together. 12 years later, we are! Prior to RowFlow, Jack scaled Ops at Uber, Shef, and Faire, while Alec was a quant trader at Virtu and an engineer at Meta.\n\n![uploaded image](/media/?type=post&id=93357&key=user_uploads/2767809/2b8be54b-a588-45eb-8224-5efb9ab195bf)\n\n",
        "url": "https://www.ycombinator.com/launches/OHl-rowflow-turn-any-form-into-an-ai-conversation",
        "votes": 20,
        "created_at": "2025-08-27T18:30:29.678Z"
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    "id": 30975,
    "name": "MadeThis",
    "slug": "madethis",
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      "Castari"
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    "all_locations": "San Francisco, CA, USA",
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    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1762394891,
    "tags": [
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      "AI"
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    "isHiring": true,
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    "batch": "Fall 2025",
    "status": "Active",
    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/madethis",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/madethis.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/made-this-inc/",
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      "name": "Harj Taggar",
      "url": "https://www.ycombinator.com/people/harj-taggar"
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    "founders": [
      {
        "user_id": 1070542,
        "full_name": "Jacob Wright",
        "title": "Founder/CEO",
        "founder_bio": "Founder of MadeThis | Built & scaled AI consumer app to 1m+ users | Former founding engineer & FDE manager at RunPod. Built out RunPod's growth engineering & FDE teams as we scaled to $100m in revenue",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/jacob-c-wright",
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      },
      {
        "user_id": 1372064,
        "full_name": "Cambree Bernkopf",
        "title": "Founder",
        "founder_bio": "Previously Co-Founder of MadeThis | Built & scaled AI consumer app to 1m+ users | Led product design for Remi's (YC W22) consumer facing products at 19 years old\nNow running Bernie Studios, a Design Studio for venture backed startups.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/cambree-bernkopf-3385b0250",
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      },
      {
        "user_id": 1218017,
        "full_name": "Santiago Gomez Paz",
        "title": "Founder",
        "founder_bio": "Building MadeThis. Previously founded Zaymo (YC W24), researched synthetic data at MIT CSAIL, and worked in product management at Turing.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gomezpaz",
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    "jobs": [
      {
        "id": 105107,
        "title": "Founding Engineer, Platform",
        "url": "https://www.ycombinator.com/companies/madethis/jobs/gQPZaNB-founding-engineer-platform",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $350K",
        "equity_range": "0.10% - 2.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Python",
          "React Native",
          "TypeScript",
          "Distributed Systems",
          "Machine Learning",
          "LLMs",
          "Fine-tuning",
          "Evals"
        ]
      },
      {
        "id": 105108,
        "title": "Forward Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/madethis/jobs/dgBaRrI-forward-deployed-engineer",
        "location": "San Francisco, CA, US / New York, NY, US / Salt Lake City, UT, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$250K - $350K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "PostgreSQL",
          "Python",
          "TypeScript",
          "Machine Learning",
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      },
      {
        "id": 106822,
        "title": "Head of Research",
        "url": "https://www.ycombinator.com/companies/madethis/jobs/Ojbxcjv-head-of-research",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$250K - $500K",
        "equity_range": "1.00% - 5.00%",
        "experience": "6+ years",
        "visa": "US citizen/visa only",
        "skills": [
          "Python",
          "Machine Learning",
          "Fine-tuning",
          "AI Agents"
        ]
      },
      {
        "id": 106823,
        "title": "Founding Account Executive",
        "url": "https://www.ycombinator.com/companies/madethis/jobs/QNBSA0l-founding-account-executive",
        "location": "San Francisco, CA, US / New York, NY, US / Salt Lake City, UT, US",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$150K - $300K",
        "equity_range": "0.10% - 1.00%",
        "experience": "3+ years",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [],
    "launches": [
      {
        "id": 108368,
        "title": "MadeThis: The platform for self-driving businesses",
        "tagline": "Build a business that runs itself",
        "body": "**TL;DR:** MadeThis helps users launch a business in &lt; 10 minutes and handles all of the busy work.\n\n<https://youtu.be/phvdoK1Fktg>\n\nMadeThis provides everything you’d need to run your business:\n\n* a website\n* legal incorporation\n* payments\n* marketing content\n* paid ads\n* social integration\n* etc.\n\nAND the team of AI teammates to manage it all.\n\nWithin the last 100 days, over 20,000 businesses have launched on MadeThis and $100,000s have been generated through the platform.\\\n\\\nWith customers ranging from first time founders to business owners doing $50m+ per year, MadeThis helps turn any company into a self-driving company.\n\nGet started today at <https://madethis.com>\n\nMid-market enterprise doing $10m+ in revenue? Wanting custom AI teammates? Reach out to [jacob@madethis.com](mailto:jacob@madethis.com)",
        "url": "https://www.ycombinator.com/launches/SBs-madethis-the-platform-for-self-driving-businesses",
        "votes": 1,
        "created_at": "2026-07-30T16:40:00.795Z"
      },
      {
        "id": 97921,
        "title": "Castari – The runtime for agents that need a computer",
        "tagline": "Your agent executes code, calls tools, and runs for hours. We give it a sandbox, an endpoint, and observability — with one command.",
        "body": "### TL;DR\n\nCastari is hosting infrastructure for agents that need more than an API call. Run `cast deploy` and your agent gets a secure sandbox, auto-scaling endpoint, and full observability.\n\nPublic beta is live today.\n\n<https://youtu.be/2fpCTj051kY>\n\n---\n\n### The problem\n\nSerious agents aren’t just “call an API and done.”\n\nThey execute code, hit tools and browsers, run for minutes to hours, and touch sensitive systems. Every team ends up rebuilding the same fragile setup:\n\n* homegrown agentic harnesses\n* stitched-together sandboxes/microVMs/containers/queues\n* logs and traces scattered everywhere\n* hacky snapshots and suspect secret handling\n\nSo:\n\n* every agent needs its **own** mini-runtime\n* debugging one run is detective work\n* adding a new agent feels like starting a new infra project\n\nDeploying agents that work great locally turns into wrangling infrastructure.\n\n---\n\n### **The problem**\n\nSerious agents aren't chatbots. They execute code, call tools, touch filesystems, and run for hours. They need a computer.\n\nBut there's no good way to put them in production. You end up stitching together containers, queues, and compute layers — rebuilding the same infrastructure every team rebuilds. The agent works on your laptop. Getting it to work reliably for users takes weeks.\n\nWe hit this ourselves. We built an AI consumer app to 2M+ members while at RunPod (scaled to $100M revenue). The hardest part was never the model — it was the harness. Every time we shipped a new agent, we were rebuilding sandboxing, scaling, secrets, and monitoring from scratch.\n\n### **What we built**\n\nCastari wraps your agent in a secure sandbox and gives you back a production endpoint.\n\n```\nnpm install -g @castari/cli\ncast login\ncast deploy\n```\n\nYour agent now has:\n\n* **Secure sandbox** — full isolation. Your agent can safely execute code, use browsers, and access filesystems\n* **Auto-scaling endpoint** — scales with demand, no capacity planning\n* **Observability** — trace every tool call, decision, and output in real time\n* **Multi-model support** — Claude, OpenAI, xAI, open source. Your code stays the same\n* **Zero lock-in** — remove Castari and your agent still runs on vanilla Claude Agent SDK\n\n---\n\n### **How we're different**\n\nMost tools give you primitives — a sandbox API, a container runtime, a compute layer. You still stitch it together yourself.\n\nCastari wraps around your agent. You define it declaratively, we manage the lifecycle: provisioning, versioning, execution, scaling, teardown. You write agent logic, not infrastructure code.\n\n### **What's next**\n\n* Better tracing and observability — debug agent behavior in production, not after the fact\n* Higher sandbox concurrency limits — run more agents in parallel\n* Forever-running sandboxes — agents that stay alive indefinitely\n\n---\n\n### Why we’re working on this\n\nWhile I was leading the FDE team at RunPod:\n\n* Built and shipped AI infrastructure and agents for **Fortune 500s and fast-growing startups**\n* Watched the same loop repeat: agent works in a notebook → weeks disappear into infra glue → nobody trusts the system, production release gets delayed (over and over again).\n\nAdditionally, while [@Cambree Bernkopf](https://bookface.ycombinator.com/user/1372064) and I scaled our AI consumer app to 2m+ users, our biggest issues were getting our agents to work reliably in production.\n\nThe pattern is clear: **agents deserve a first-class runtime, the way frontends got one.**\n\nCastari is our bet that:\n\n* Sandboxing & safety should be built-in, not bolted on\n* Going from “prototype” to “production-safe” should be one config file, not a quarter-long project\n* AI teams should ship agents, not infrastructure.\n\n---\n\n### Try it\n\nDocs: [docs.castari.com](http://docs.castari.com)\n\nWebsite: [castari.com](http://castari.com)\n\nCLI: `npm install -g @castari/cli`\n\nOr email [jacob@castari.com](mailto:jacob@castari.com) — happy to get you deployed.\n\n— Jacob & Cambree\n\n![uploaded image](/media/?type=post&id=97921&key=user_uploads/1070542/1e7ef564-ad96-4b4e-aa0e-80212ee05604)\n\n",
        "url": "https://www.ycombinator.com/launches/PTN-castari-the-runtime-for-agents-that-need-a-computer",
        "votes": 5,
        "created_at": "2026-02-17T23:23:56.820Z"
      },
      {
        "id": 95573,
        "title": "Castari - Vercel for AI Agents",
        "tagline": "Deploy your sandboxed agents with Castari",
        "body": "Hey! We’re Jacob Wright & Cambree Bernkopf, founders of [Castari](https://castari.com).\n\n### **TL;DR**\n\n**Castari lets teams deploy AI agents to secure, autoscaling sandboxes in seconds.**\n\nYou write agent logic with the **Claude Agent SDK (other frameworks coming soon)**. We turn it into a production-grade endpoint.\n\nWe’re especially focused on:\n\n* Teams building **internal agents** (ops, support, data, eng workflows).\n* Companies whose **core product is an agent** built on Claude Agent SDK and need a safe, reliable way to run it.\n\n### Launch Video:\n\nhttps://youtu.be/81K80OivtAc\n\n### The Problem:\n\nSerious agents are not just a single API call. [Agents need a computer.](https://www.anthropic.com/engineering/building-agents-with-the-claude-agent-sdk)\n\nThey execute code, call tools and browsers, run for minutes instead of milliseconds, and touch sensitive systems. Most teams end up rebuilding the same fragile setup:\n\n* Homegrown agent harnesses\n* Sandboxes, file systems, and queues stitched together\n* Logs and traces scattered across many services\n* Ad hoc snapshots and risky secret handling\n\nThe result:\n\n* Every agent needs its own mini runtime\n* Debugging one agent run feels like detective work\n* Adding a new agent feels like starting a new infra project\n\nGood agents stall at “cool demo” instead of reaching production. Deploying agents becomes a full-time infrastructure problem.\n\n![uploaded image](/media/?type=post&id=95573&key=user_uploads/89898/44917ba7-819c-4c41-a80f-ef359054b19e)\n\n### How Castari solves it\n\nWe’re building Castari to be the **natural runtime for AI agents built on Claude Agent SDK**. We wrap the entire agent in a sandbox, deploy it, and provide you with an endpoint url that auto-scales as requests come in. No need to write code in your tools to manage your sandbox lifecycle.\n\n#### **1. Drop in a config file → get a production runtime**\n\nIn your Claude Agent SDK repo:\n\n* Add a `castari.yaml` (entrypoint, tools, env vars)\n* Run `castari deploy`\n\nThat’s it. Your agent is now running in a secure sandbox with an endpoint, UI, and observability.\n\nWhether that agent is:\n\n* an **internal system** your team uses\n* a **customer-facing agent** that _is_ your product\n\nthe deployment workflow is identical and boring (in the good way).\n\n#### **2. Sandboxing & safety, built-in**\n\n* Every run executes in an isolated sandbox designed for tool-using agents\n* You design the behavior; we handle isolation and scaling\n* No more duct-taping together sandbox primitives for specific tools\n\n**Bottom line:** You keep building on **Claude Agent SDK** the way you already are — for internal workflows or core products. Castari turns that into a safe, observable, production-ready runtime.\n\n### Why Castari is different\n\n**E2B, Modal, Daytona, Cloudflare** (and friends) give you powerful sandbox and compute primitives.\n\n**Castari sits one layer up:**\n\nCastari wraps around your Claude Agent SDK-based agents so you can define them declaratively and run them in secure sandboxes, without owning the underlying sandbox lifecycle.\n\n* **Agent-first semantics**: runs, sessions, tools, snapshots are native concepts we manage.\n* **Zero framework lock-in**: remove Castari and your agent still runs on vanilla Claude Agent SDK; keep Castari and your infra team gets its life back.\n* **Focused start**: deeply integrated with **Claude Agent SDK** today, with the same “drop-in config” experience coming to other frameworks next.\n\nWe’re building the runtime we wish existed for agents.\n\n### Why we’re working on this\n\nWhile I was leading the FDE team at RunPod:\n\n* Built and shipped AI infrastructure and agents for **Fortune 500s and fast-growing startups**\n* Watched the same loop repeat: agent works in a notebook → weeks disappear into infra glue → nobody trusts the system, production release gets delayed (over and over again).\n\nAdditionally, while [**@Cambree Bernkopf**](https://bookface.ycombinator.com/user/1372064) and I scaled our AI consumer app to 2m+ members, our biggest issues were getting our agents to work reliably in production.\n\nThe pattern is clear: **agents deserve a first-class runtime, the way frontends got one.**\n\nCastari is our bet that:\n\n* Sandboxing & safety should be built-in, not bolted on\n* Going from “prototype” to “production-safe” should be one config file, not a quarter-long project\n* AI teams should ship agents, not infrastructure.\n\n![uploaded image](/media/?type=post&id=95573&key=user_uploads/1070542/5fbe422a-1cc4-49e3-95ce-8740164b600e)\n\n### Ask: early pilot access\n\nWe are opening a limited pilot for:\n\n* Teams building internal agents who need a safer, more reliable runtime\n* Companies building agent centric products that need to run in production without bespoke infra\n\nIf that is you and you are tired of wrestling with sandboxes, observability, and brittle tooling:\n\n→ Email [**jacob@castari.com**](mailto:jacob@castari.com) with subject “Castari Pilot” and 2 to 3 sentences about your agent stack and use case.\\\n→ Check out our open source repo for using any model with Claude Agent SDK on [GitHub](https://github.com/castar-ventures/castari-proxy).\\\n→ Join the waitlist on [**castari.com**](http://castari.com) to hear about our first releases.\n\nJacob, Cambree, and the Castari team",
        "url": "https://www.ycombinator.com/launches/OrV-castari-vercel-for-ai-agents",
        "votes": 20,
        "created_at": "2025-11-17T20:28:20.453Z"
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    "id": 31005,
    "name": "MarkIt",
    "slug": "markit",
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    "website": "https://markittrade.com",
    "all_locations": "Atlanta, GA, USA",
    "long_description": "MarkIt is an AI-powered regulatory compliance platform that helps consumer brands launch products in new markets. We review formulations, packaging, and supporting documents against local regulations, identify compliance gaps, and provide the exact changes, regulatory references, and market-ready labels needed before launch. We are initially focused on cosmetics and food products entering the U.S., replacing weeks of manual work across regulatory consultants, spreadsheets, and disconnected vendors with one actionable compliance workflow.\r\n",
    "one_liner": "Compliance that makes products ready for global markets.",
    "team_size": 4,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1759442158,
    "tags": [
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      "Compliance",
      "Consumer Products",
      "AI"
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    "isHiring": false,
    "nonprofit": false,
    "batch": "Fall 2025",
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    "regions": [
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      "America / Canada",
      "Remote",
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    "url": "https://www.ycombinator.com/companies/markit",
    "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/markit.json",
    "year_founded": 2025,
    "city": "Atlanta",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/markittrade/",
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    "primary_partner": {
      "name": "Tom Blomfield",
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      {
        "user_id": 2551075,
        "full_name": "Chanhyung Kim",
        "title": "Founder/CEO",
        "founder_bio": "CEO @ MarkIt",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chanhkim?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app",
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        "user_id": 850083,
        "full_name": "Roland Saavedra",
        "title": "Founder/CTO",
        "founder_bio": "CTO of Markit",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/rsaav",
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      {
        "id": 94776,
        "title": "MarkIt: Silver Bullet for Trade Compliance",
        "tagline": "2025 Tariffs Megathread",
        "body": "Hey Everyone!\n\nExcited to share our story and what we’ve been working on.\n\nhttps://youtu.be/kdNXKa-zfcg\n\nWhen Chan worked on Tesla’s Global Trade team, every car part—bolts, batteries, doors, etc—came from a different country. Each time tariffs shifted (pretty frequently), he and his team had to manually check thousands of parts across hundreds of pages of trade rules. Pair that with meetings with consultants, brokers, & suppliers to get potentially the worst workflow of 2025. All happening within Outlook & Excel 2019.\\\nThey tried software, consultants, startups — every one of them got shot down due to reasons like product quality & data security, but mainly that it doesn’t bring enough value.\n\nThat’s why we built **MarkIt** — AI agents that actually _do the work_ for Suppliers, Brokers, and OEMs.\n\n# **Introducing MarkIt - The Silver Bullet for Trade Compliance**\n\nWith agents that live where trade professionals already work — **Excel, broker portals, and browser** — MarkIt helps teams classify products, manage tariffs, and resolve customs issues in seconds, not hours.\n\n# **MarkIt’s Value: Product & Logic Application**\n\nMarkIt is intentionally lightweight, and customizable. Previously, without AI, software in this industry was clunky & typically automating a set workflow. Now, MarkIt services all of your workflow needs in a single\n\n* **Classification**: MarkIt can enhance your workflows at scale. Entries are\n\n  **defensible** with thorough **reasoning** and **supporting documents**.\n* **OCR**: Upload your Bill of Ladings, Commercial Invoices, Packing Lists, and other documents to create your import filings and reports.\n* **Customization**: Users can choose to **use their own logic**, where MarkIt’s platform would simply handle applying it at volume. No more worrying about reasonable care, if you don’t trust AI research.\n* **Build Your Own:** MarkIt’s agents can work in files & desktop, applying trade logic in your own customizable way.\n* **Integration:** Plug directly into ABIs and ERPs **only if you want.**\n\nMarkIt is like a coworker specialized in customs & the trade process. Who’s willing to do all of your mindless “dishwashing” work.\n\n# **Our Ask:**\n\nWe’re looking to connect with anyone who works in Global Trade. Suppliers, customs brokers, manufacturers, e-commerce operators, etc.\n\n# **Connect with Us:**\n\nMarkIt: [LinkedIn](https://www.linkedin.com/company/markittrade/)\n\nChan: [LinkedIn](https://www.linkedin.com/in/chanhkim/)\n\nRoland: [LinkedIn](https://www.linkedin.com/in/rsaav/)",
        "url": "https://www.ycombinator.com/launches/Oee-markit-silver-bullet-for-trade-compliance",
        "votes": 4,
        "created_at": "2026-02-07T15:54:23.608Z"
      },
      {
        "id": 94794,
        "title": "MarkIt: Silver Bullet for Trade Compliance",
        "tagline": "2025 Tariffs MegaThread: MarkIt Launch",
        "body": "When Chan worked on Tesla’s Global Trade team, every car part—from bolts to battery packs—came from a different country. Each time tariffs shifted, thousands of parts across hundreds of pages of trade rules needed review, research, or reclassification. Pair that with tons of paperwork & meetings with consultants, brokers, & suppliers, and you’ll have one worst workflow of 2025. All happening within Outlook & Excel 2019.\\\nThey tried software, consultants, startups — every one of them got shut down due to reasons like product quality & data security.\\\nThat’s why we built **MarkIt** — AI agents that actually _do the work_ for Suppliers, Brokers, and OEMs.\n\n**Introducing MarkIt**\n\nhttps://www.youtube.com/watch?v=STJujU1zWz4\n\nWith agents that live where trade professionals already work — **Excel, broker portals, and browser** — MarkIt helps teams classify products, manage tariffs, and resolve customs issues in seconds, not hours.\n\n**MarkIt’s Value: Product & Logic Application**\\\nMarkIt is intentionally lightweight, and customizable. Previously, without AI, software in this industry was clunky & typically automating a set workflow. Now, MarkIt can support every trade compliance process, including ones companies have been ignoring. \n\n* **Classification**: Use our **accurate**, defensible classifications, or upload your own!\n* **OCR**: Analyze your Bill of Ladings, Commercial Invoices, Packing Lists for report filing, analysis, and report generatino.\n* **Customization**: Users can choose to **use their own logic**, where MarkIt’s platform would simply handle applying it at volume.\n* **Build Your Own:** MarkIt’s agents are familiar with many document types & many regulations. It’ll be able to support ad-hoc workflows just as well as your daily ones.\n* **Integration:** Plug directly into ABIs and ERPs **only if you want.** We don’t want require complete system overhaul.\n\nMarkIt is like a coworker specialized in customs & the trade process. Who’s willing to do all of your mindless “dishwashing” work.\n\n\\*\\*Our Ask:\\*\\*\\\nWe’re looking to connect with anyone who works in Global Trade. Suppliers, customs brokers, importers, e-commerce operators, etc. Anyone who may have to get a good across a border.\n\n\\*\\*Connect with Us:\\*\\*\\\nMarkIt: [LinkedIn](https://www.linkedin.com/company/markittrade/), [Website](https://markittrade.com)\\\nChan: [LinkedIn](https://www.linkedin.com/in/chanhkim/), [X](https://x.com/ch6nkim)\\\nRoland: [LinkedIn](https://www.linkedin.com/in/rsaav/), [X](https://x.com/supadupacoda)",
        "url": "https://www.ycombinator.com/launches/Oew-markit-silver-bullet-for-trade-compliance",
        "votes": 17,
        "created_at": "2025-10-21T15:36:33.380Z"
      }
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    "id": 31149,
    "name": "EigenPal",
    "slug": "eigenpal",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/e2b1d5849be66ecb8111d6f209625734882c46e5.png",
    "website": "https://www.eigenpal.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "EigenPal.com automates your document processing workflows with AI. KYC docs, invoices, claims, shipping forms, contracts, receipts, loan docs - we automate that. Works on messy scans, handwritten forms, third-party docs. Powerful workflow builder and team functionality. On-prem ready or use our cloud.",
    "one_liner": "AI Document Workflows for Enterprises",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1768698065,
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    "year_founded": 2025,
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        "full_name": "Matej Novak",
        "title": "Founder/CEO",
        "founder_bio": "Co-Founder @ EigenPal - automating enterprise document workflows with AI.\nMIT and Imperial London CS\n3 time founder of B2B AI companies",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/novak-matej/",
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        "user_id": 2248119,
        "full_name": "Jedrzej Blaszyk",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder @ EigenPal - automating enterprise back-office with AI. Previously engineer at Elastic and Yelp. Imperial College London CS",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jedrzej-blaszyk/",
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      {
        "id": 97202,
        "title": "EigenPal: AI Document Workflows",
        "tagline": "EigenPal automates enterprise document processes with AI",
        "body": "**TL;DR:** EigenPal automates your document processing workflows with AI. If you have humans reading documents and typing data into systems - KYC docs, invoices, claims, shipping forms, contracts, receipts - we replace that. Works on messy scans, handwritten forms, third-party docs. Beautiful workflow builder, testing, and team functionality. On-prem ready or use our cloud. Working with 2 large European banks on loan automations already.\n\nTry on: [**eigenpal.com**](http://eigenpal.com)\n\n**2 minute demo -** <https://www.youtube.com/watch?v=pEfhqhylS2Y>\n\n**What We Learned**\n\nWorking on back office document automation, we kept hearing the same questions:\n\n* _\"How do I know this workflow will actually work before I bet my ops on it?\"_\n* _\"I aim to have 100 workflows. How will I monitor them all?\"_\n* _\"Can this run in our cloud? Data can't leave our infrastructure.\"_\n* _\"Our files have contracts, amendments, and extensions that reference each other. Can you piece that together?\"_\n\nTraditional automation tools were built for deterministic processes and they're not designed for AI. AI is a game changer for document processing, but businesses still can't trust it at scale. Why? Evals and monitoring aren't built in. And most new platforms can't run on-prem.\n\n![uploaded image](/media/?type=post&id=97202&key=user_uploads/2221380/d651a1db-2002-456e-9c18-55d290083745)\n\n**The Solution: A Platform Where You Can Trust AI Workflows**\n\nEigenPal is built around one principle: like any employees you entrust work to, you need to trust your workflows before you deploy them and monitor them after.\n\n* **Agentic workflow builder.** Our AI workflow builder let’s you create workflows with easy in your natural language. It can even iterate on a workflow on a test dataset to tune accuracy.\n* **Eval-first.** Before any workflow goes live, test it against your historical documents. See exactly what accuracy you're getting. Deploy only when you're confident. **Set up a feedback loop in production** so workflows are adjusted with feedback.\n* **Document-centric.** Upload files directly, no public URLs needed. Built-in storage plus a powerful template filler to generate polished output docs from your extracted data.\n* **Configure everything.** Choose your OCR/VLM, LLM, configure every step of the pipeline separately. Access built-in tracing for workflows in our app or export via OpenTelemetry.\n* **Monitor hundreds of workflows at once.** One dashboard showing costs, compliance logs, and failures across every workflow. Know immediately when something drifts.\n* **Collaborate with your team.** Org workspaces let you share workflows, templates, and results with colleagues. Build once, use across your team.\n* **On-prem or cloud.** Runs in your infrastructure with your LLMs, or use our hosted version. Your choice.",
        "url": "https://www.ycombinator.com/launches/PHm-eigenpal-ai-document-workflows",
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        "created_at": "2026-01-27T01:39:14.623Z"
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    "id": 31172,
    "name": "Terminal Use",
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    "website": "https://www.terminaluse.com/",
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    "long_description": "AI pilots are everywhere. Few organizations can point to a department that actually runs AI-first. Terminal Use changes that.\r\n\r\nWe help operations teams rebuild how work gets done, end to end. We begin with one critical process, map how it runs today and where it breaks, then redesign the workflow around AI agents, existing systems, and people at the right control points.\r\nThe result is a working AI-first process, measurable operational change, and a blueprint for transforming the broader department.\r\n\r\nFounded by ex-Palantir FDEs and engineers working on transformation at scale, Terminal Use works across construction, logistics, manufacturing, retail, and other complex operating environments.",
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    "team_size": 4,
    "industry": "B2B",
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      "name": "Gustaf Alstromer",
      "url": "https://www.ycombinator.com/people/gustaf-alstromer"
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      {
        "user_id": 667752,
        "full_name": "Vivek Raja",
        "title": "Founder/CEO",
        "founder_bio": "Previously led technical delivery of one of the largest agents use case at Palantir",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/v-raja/",
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      },
      {
        "user_id": 3200476,
        "full_name": "Filip Balucha",
        "title": "Founder",
        "founder_bio": "Enabling long-running background agents. Previously Ontology @ Palantir.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/filip-balucha/",
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        "user_id": 1080073,
        "full_name": "Stavros Filosidis",
        "title": "Founder/CTO",
        "founder_bio": "Building the missing infrastructure for deploying agents. Previously worked on coding infrastructure at Palantir.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/stavrosfilosidis",
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    "name": "Bubble Lab",
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    "website": "https://bubblelab.ai/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Bubble Lab helps event organizers and professional communities turn a room full of people into meaningful connections. We help them understand who’s in the room, identify who should meet, make the introduction, and remember those relationships for the next event.\r\n\r\nAttendee enrichment, matchmaking, searchable member directories, applications, payments, Luma and Slack sync, onboarding, and analytics all live in one place, so a single operator can run better gatherings and build a smarter community over time.",
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    "team_size": 2,
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        "user_id": 2131392,
        "full_name": "Selina Li",
        "title": "Founder/CEO",
        "founder_bio": "Cofounder and CEO of Bubble Lab, previously cofounder of gymii.ai | UPenn '23, Cornell Tech MEng '25 | Competitive golfer",
        "is_active": true,
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        "user_id": 1374763,
        "full_name": "Zach Zhong",
        "title": "Founder/CTO",
        "founder_bio": "I like to automate everything\nCornell Tech CS'25, UCSD CS'24\nPrev co-founded gymii.ai\n\n",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/zzy0516",
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      {
        "id": 98131,
        "title": "Bubble Lab - Supercharge your Ops work in Slack",
        "tagline": "Meet Pearl, your super-employee that handles your ops tasks in slack",
        "body": "Hey everyone! 👋\n\nWe’re [Selina](https://www.linkedin.com/in/selina-li-2624a4198/) and [Zach](https://www.linkedin.com/in/zzy0516/) from Bubble Lab. \n\n**TL;DR:** Bubble Lab lets you deploy Pearl, your ops super-employee, directly into Slack. Pearl connects to tools like Notion, Jira, and Stripe and runs real operational workflows for your team—no engineering required.\n\n**THE PROBLEM** ❌\n\nOperations work today is fragmented across dozens of tools. Updating CRMs after calls, generating reports, triaging customer issues, and coordinating workflows all require constant context switching and manual effort.\n\nAutomating these processes is even harder. Existing tools are brittle, require engineering time, or live outside where teams actually work. As a result, most ops teams still rely on manual processes, even for repetitive, predictable tasks.\n\nThis slows teams down and makes it harder to scale operations without scaling headcount.\n\n**OUR SOLUTION** 👷\n\nDemo: <https://youtu.be/BIvOZCGgRSA>\n\nBubble Lab lets you deploy Pearl, your ops super-employee, directly into Slack in under a minute.\n\nWe’re already powering 4,000+ operators and fast-moving teams.\n\nPearl connects securely to your tools— Notion, Jira, HubSpot, Stripe, Google Workspace, and more—and can take action on your behalf. Teams use Pearl to:\n\n* Update HubSpot automatically after sales calls\n* Create Jira tickets from user feedback\n* Generate daily pipeline and revenue reports\n* Track and follow up on open invoices\n* Run operational workflows triggered directly from Slack\n\nWhen something needs to be repeated, Pearl turns it into a reliable workflow your team can run anytime.\n\nInstead of switching between tools or building custom automation infrastructure, teams can run and manage operations entirely from Slack.\n\n **OUR ASK 🙏**\n\nIf you run ops or growth at your company, we’d love to hear from you.\n\nTry Bubble Lab:[ https://bubblelab.ai](https://bubblelab.ai)\n\nWe’re especially excited to work with teams that want to automate operational workflows across their stack without engineering overhead.",
        "url": "https://www.ycombinator.com/launches/PWl-bubble-lab-supercharge-your-ops-work-in-slack",
        "votes": 7,
        "created_at": "2026-02-24T14:13:32.293Z"
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    "name": "MochaCare",
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    "website": "https://www.mochacare.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "MochaCare is an agentic management service for care organizations. We handle hiring, scheduling, and client intake end-to-end so our partners can focus on growth.",
    "one_liner": "Agentic Management Service for Care Organizations",
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    "industry": "B2B",
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        "user_id": 570409,
        "full_name": "Nicolas Walker",
        "title": "Founder/CEO",
        "founder_bio": "BSCS, MSCS @ Stanford. Focused on AI/HCI.\n\nPreviously worked at\n- Linktree: product engineering & growth experimentation\n- Spotify: personalization and product\n- Amazon (AWS): software engineering, data\n- Microsoft (Azure): software engineering, IoT\n\nI'm a former caregiver and have led a community service org with 300+ volunteers.\n\nI'm very grateful to be working in the care industry. My grandparents raised me as a child and giving back to our aging population is incredibly fulfilling for me.",
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        "user_id": 1148838,
        "full_name": "Pranav Uppiliappan",
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        "founder_bio": "Co-Founder @ MochaCare | Masters in CS @ UIUC \n\n- AI Agents @ GoDaddy\n- ML Research Fellow @ UCSB\n- SWE @ DecisionMinds\n\nI spent eight years doing companion care for neurodiverse people and worked with US Congress to support legislation in the space. My grandparents also played a big role in my life (my grandpa taught me the times table).\n\nNow I'm building MochaCare — the AI-native management service that supports care organizations that support older folks and neurodiverse people.",
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        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$120K - $220K",
        "equity_range": "0.50% - 1.50%",
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      {
        "id": 98296,
        "title": "MochaCare – Grow Your Home Care Agency with Human Virtual Assistants Supercharged by AI",
        "tagline": "Home care's growth service",
        "body": "**MochaCare** ([mochacare.com](http://mochacare.com)) unlocks home care agency growth with human virtual assistants supercharged by AI. We take hiring, scheduling, or both off agencies' plates so they can spend less time drowning in ops and more time building relationships in their communities. \\\n\\\nEverything we do generates data insights that surface growth opportunities, from referral leads to sales enablement during intake calls.\n\n![uploaded image](/media/?type=post&id=98296&key=user_uploads/570409/6292e9a2-6ebc-4f33-9cf0-1e60f6c1ca3f)\n\n\\* Note: a home care agency is a company that hires and manages caregivers on behalf of people seeking care. These caregivers typically work with clients in their homes or in facilities.\n\nWe personally embed into the agencies we work with. Our AI hiring and scheduling agents handle most tasks for us, but we are always monitoring the feed and jumping in if emergencies arise.\n\nNick goes to bed at 3:30am and Pranav wakes up at 3:30am to guarantee 24/7 coverage.\n\n**What problem are you solving?**\n\n1. **Home care agency operators** want to deliver quality care to their communities, not to stay glued to their phones 24/7 handling hiring and scheduling. They’re burning out and are unable to grow their businesses.\n2. **Families** want reliable care. They need to know that the best caregivers are going to show up for their loved ones at the right time and need home care agencies to be energized so they can deliver their best care. Scheduling and hiring mishaps erode the quality of care and cause service failures for these families.\n3. **Caregivers** want work quickly and don’t want to deal with manual data entry. They needed their next paycheck yesterday. Our hiring agents (including AI interviewers and interview coordinators) get them through the process swiftly. Once hired, they need to know about the best shifts for them. Our scheduling agents alert them to these and help them focus more on care and less on manual tasks like shift note entry.\n\n**Why are you working on this?**\\\nWe were both raised by our grandparents who gave the world to us. We want to live in a world where they receive the same quality care and attention that they gave us growing up. Currently, there’s a gap between that world and where we are today.\n\nWe’ve seen this first-hand. Home care operations can fall short—Nick’s grandma recently started receiving home care and had no caregiver show up on day one. We don’t want this to happen again.\n\nOn the other side of the equation, we’ve seen agency owners with the largest hearts feel hopeless about their work. We want to uplift these people and allow them to reclaim their time, get back to delivering care, and start growing their agencies.\n\nBy helping agencies deliver care more effectively, we protect the superheroes who care for our communities and the people who they care for, like our grandmas!\n\n**Our ask:**\\\nIntros to home care agencies, home health agencies, or anyone who advises seniors on care options (since these people typically know home care agencies).\n\nThank you for taking the time to read this!",
        "url": "https://www.ycombinator.com/launches/PZQ-mochacare-grow-your-home-care-agency-with-human-virtual-assistants-supercharged-by-ai",
        "votes": 8,
        "created_at": "2026-02-28T17:24:03.310Z"
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    "id": 31372,
    "name": "Trellis",
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    "website": "https://trellistech.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Trellis is building toward a new hospitality platform: one that does not just help guests find homes, but actually operates them with agents. \r\n\r\nOur first wedge is short-term rental property managers, replacing their fragmented stack across guest messages, tasks, cleaners, maintenance, vendors, and owner updates with agents that run operations end-to-end. \r\n\r\nIn two months, we’ve grown to $500k ARR across 35 customers and 3000 listings, growing around 15% week over week, with one customer already running day-to-day operations with no human involved.",
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    "industry": "B2B",
    "subindustry": "B2B -> Operations",
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        "full_name": "Lodovico Benvenuti",
        "title": "Founder/CEO",
        "founder_bio": "Hi, I’m Lodo.\n\nI believe the next decade of software belongs to systems that grow around you, not tools you adapt to. Static SaaS is dying. The future is AI-native software that learns, builds, and evolves with every customer. \n\nI’m building that future for hospitality with Trellis: an AI-native operating system that learns how each operator runs, then builds the workflows and nterfaces needed to execute the business. \n\nWe don't sell software with AI, we sell AI that builds your software",
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        "full_name": "Jan Sahagun",
        "title": "Founder/COO",
        "founder_bio": "Hey, I'm Jan.\nEx hockey player who turned his athlete's mindset into sales.\nIn under 2 years in STR tech I closed $2M worldwide and built an STR media platform from scratch.\n\nWe're currently building the future of short-term rentals to give property managers the last piece of software they'll ever need.\nNot another tool with AI bolted on but an AI that builds their software.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jan-sahagun-escosa?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app",
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      {
        "id": 100011,
        "title": "Trellis: Autonomous Agents for Short Term Rentals",
        "tagline": "Run all your operations end to end across every tool in your stack.",
        "body": "Hi, we’re [Lodovico Benvenuti](https://www.linkedin.com/in/lodovico-benvenuti-11678224a/) and [Jan Sahagun](https://www.linkedin.com/in/jan-sahagun-escosa?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app), and we’re building Trellis, AI agents that run operations for short-term rental property managers.\n\nOur Launch Video: <https://www.youtube.com/watch?v=Zki0_icE3Xw>\n\n### The problem\n\nShort-term rental operations break as companies scale.\n\nAs you add listings, coordination explodes across guest messaging, cleaning, maintenance, and homeowners. Work ends up spread across 5 to 10 disconnected tools, duck-taped together by burnt-out teams, constantly firefighting issues, with information inevitably falling through the cracks.\n\nQuality drops, reviews follow, and growth stalls.\n\nThis is because managing a property is complex. Let’s say the guest calls about a broken shower. The operator has to identify the reservation in the PMS, search a separate knowledge base for context, collect photos, and create a task in another system.\n\nThen check a workforce tool for availability, reprioritize tasks, dispatch a technician, follow up with the guest, and later log costs, update accounting, and notify the homeowner. All this across 5-10 systems of record.\n\nThe core issue is simple: no software has full operation context to control operations end to end.\n\n### What we built\n\nTrellis provides AI agents that run operations across the entire stack.\n\nThe agent communicates with guests, dispatches and coordinates cleaners and maintenance, files claims and costs, and follows up until issues are fully resolved.\n\nIt connects to PMSs, messaging channels, and internal tools, but more importantly, it maintains full operational context: who the guest is, what property they’re in, what the issue is, what’s already been tried, who is available, what tasks are in progress, and what needs to happen next.\n\nInstead of passing information between tools, the agent owns the entire workflow from first message to resolution and reporting.\n\nWhen agents take over operations, execution becomes consistent and verifiable. That shifts control of the guest experience from marketplaces back to operators, who can now deliver reliable service at scale, build real brands, and own demand.\n\n### Our background\n\nBefore Trellis, Lodo built AI customer service agents for short-term rentals at Conduit (YC W24). He also scaled a property management company to \\~$2M revenue and 150+ listings. With trellis we are now running their operations with 1 person.\n\nJan spent years in the trenches of the STR industry: leading early sales at multiple AI tools for property managers, building an STR tech media platform (STR Tech Report), consulting across the space, attending 20+ industry events, and speaking with thousands of property managers along the way. That journey earned him deep trust and relationships throughout the STR world.\n\n---\n\nIf you run a property management company, we’d love to show you Trellis.\n\n![uploaded image](/media/?type=post&id=100011&key=user_uploads/3088252/1e4e4529-0d4f-433d-bb57-66119f1505da)\n\n",
        "url": "https://www.ycombinator.com/launches/Q15-trellis-autonomous-agents-for-short-term-rentals",
        "votes": 21,
        "created_at": "2026-04-22T00:09:17.166Z"
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    "all_locations": "San Francisco, CA, USA",
    "long_description": "GodHands learns how your teams actually work from the apps they already use, capturing the steps, decisions and exceptions that never get written down. It turns them into knowledge and playbooks, gives people and AI agents the answers, and builds agents that do the work the same way. Teams use GodHands to run operations, onboard new hires, hand over roles, integrate acquisitions and automate repetitive work.",
    "one_liner": "Turn how your team works into playbooks and agents.",
    "team_size": 2,
    "industry": "B2B",
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    "launched_at": 1777151399,
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    "batch": "Fall 2026",
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    "year_founded": 2026,
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    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/godhands-yc-f26/",
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        "user_id": 905009,
        "full_name": "Sai Vamshi Batchu",
        "title": "Founder/CEO",
        "founder_bio": "Co-founder & CEO of GodHands. We learn how companies actually operate and turn that knowledge into playbooks and answers for people and AI agents. Previously a quantitative researcher at Graviton, a high-frequency trading firm. IIT Kharagpur CS.",
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        "linkedin_url": "https://www.linkedin.com/in/sai-vamshi-129256194/",
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        "user_id": 3245390,
        "full_name": "Aditya Bommakanti",
        "title": "Founder/CTO",
        "founder_bio": "Co-founder & CTO of GodHands. We capture how work gets done, including the decisions and exceptions, so people and AI agents can carry it forward. Previously built low-latency systems at Graviton, a high-frequency trading firm. Research at UTokyo and Aarhus University. Published research at NeurIPS. IIT Delhi CS.",
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      {
        "id": 122209,
        "title": "GodHands: Agents that learn by watching your best people",
        "tagline": "The know-how your team runs on was never written down. GodHands learns it from the work itself.",
        "body": "We're[ Sai Vamshi](https://www.linkedin.com/in/sai-vamshi-batchu-129256194/) and[ Aditya](https://www.linkedin.com/in/aditya-bommakanti-6b035321a/), IIT engineers from high-frequency trading, building[ GodHands](https://godhands.ai).\n\n**TL;DR:** GodHands learns how tasks really get done across apps, no integrations required, and turns it into playbooks your team and agents follow. Ops, support and sales teams can save millions in lost know-how and hours of repetitive work every week. Reach out for a demo!\\\n<https://youtu.be/CJBsjbX1MKY>\n\n**❌ The problem**\n\nAt our previous company, a key person left. Nobody knew how they did their work. The team kept calling them long after they'd gone, and it took months to get back on track.\n\nEvery company has people like that. None of what they know is written down.\n\nThey know how to handle the refund that doesn't fit the policy, which customer gets a call instead of an email, and which spreadsheet is actually right.\n\nSo when they leave, teams fall back on handover docs, SOPs nobody updates, and weeks of shadowing.\n\nToday's AI doesn't fix this. Agents know the internet, not how your best people work. AI knowledge tools (\"company brains\") read your docs and Slack, so they only know what someone wrote down.\n\n**✅ The solution**\n\n* **Never lose know-how when people leave.** GodHands learns how tasks get done across every app, including the steps, the decisions, and the exceptions. Nothing to integrate to start learning.\n* **Hand over work in days, not weeks.** GodHands turns that work into playbooks with sources, kept up to date, so whoever takes over does it the same way.\n* **Agents do the work.** GodHands follows those playbooks in any app, like Slack, Zendesk, Gmail, Jira, and Salesforce. Your existing agents can use them too, so your team gets hours back every week.\n* **Get new hires productive faster.** They ask GodHands how things are done and get answers from how your best people actually work, with sources.\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/6aa30075-0890-4e4e-b43c-3c2db71719d9)\n\nBuilt for ops, sales, and CX teams, logistics and retail operators, PE and M&amp;A teams taking over a company, and any manager whose best person just handed in their notice.\n\n**The team**\n\n![uploaded image](/media/?type=post&id=122209&key=user_uploads/3245390/2738fb55-3098-428c-96ad-e59b216115dd)\n\n**Sai Vamshi Batchu (CEO)** was a quantitative researcher at Graviton, India's largest HFT firm. IIT Kharagpur, CS.\n\n**Aditya Bommakanti (CTO)** built low-latency systems at Graviton, India's largest HFT firm and has published research at NeurIPS. IIT Delhi, CS.\n\nWe spent years building systems that learn from data and act on it. Now we're building one that learns from your best people.\n\n**Our ask**\n\nLet's talk if:\n\n* You want to understand how your team works, including the knowledge in people's heads\n* You want smarter agents to take on repetitive work, done the way your best people do it\n* Someone critical is leaving, or you're taking over a team or company\n\n[**Book a time**](https://calendly.com/founders-godhands/intro-call) or email [**founders@godhands.dev**](mailto:founders@godhands.dev).\n\n**Know a Head of Ops, VP of Support, or a PE operating partner?** We'd love an intro.",
        "url": "https://www.ycombinator.com/launches/Vn7-godhands-agents-that-learn-by-watching-your-best-people",
        "votes": 11,
        "created_at": "2026-10-15T13:30:00.116Z"
      }
    ]
  },
  {
    "id": 31416,
    "name": "Callab AI",
    "slug": "callab-ai",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa8adf98dd895cf00084bc119e643a0794f80959.png",
    "website": "https://callab.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "58% of the $400B call center industry runs on on-prem phone systems, and until now bringing AI voice automation to them meant ripping out their entire infrastructure first. That's the largest unserved segment in the market. Callab AI connects directly to legacy PBX systems like Avaya, Cisco UCM, and Mitel, and automates up to 70% of call volume with zero migration needed.\r\n\r\nWe plug into these environments without requiring a rip-and-replace. We serve clients across three continents, including brands like Dunkin Donuts.",
    "one_liner": "AI voice agents for on-prem telephony stack. ",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1773416869,
    "tags": [],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Spring 2026",
    "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/callab-ai",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/callab-ai.json",
    "year_founded": 2024,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/104352862/",
    "x_url": "https://x.com/callab_ai",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/aa8adf98dd895cf00084bc119e643a0794f80959.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/bec80123dea6792e257e0f71182ccff3bd7496f5.png"
    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1938837,
        "full_name": "Haithem Kchaou",
        "title": "Founder/CEO",
        "founder_bio": "Second-time founder; scaled a mobile app to 200K+ downloads.\nLed a sovereign national AI initiative that provided free LLM access to over 300,000 students.\nCo-published 2 research papers on LLM fine-tuning and data collection.\nThomas Jefferson Scholar (top 2% of applicants).",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/haithemkchaou/",
        "x_url": "https://x.com/haithemkchaou",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8d88dc68bbf25d956eaec77521f0d1a0d66fdc3d.jpg"
      },
      {
        "user_id": 1992756,
        "full_name": "Chehir Dhaouadi",
        "title": "Founder/CTO",
        "founder_bio": "- Software engineer who built and scaled telecom and VoIP systems across the Middle East and North Africa.\n- Co-built a mobile app scaled to 200K+ downloads.\n- Deployed local LLM instances in a government datacenter to power free student access at national scale.\n- Co-published 2 research papers on LLM fine-tuning and data collection.\n- Trained over 300 developers.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/chehirdhawedi/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7031305811c8efd3ca070957d28ca356aca4fb33.jpg"
      }
    ],
    "jobs": [
      {
        "id": 99950,
        "title": "Growth Marketer",
        "url": "https://www.ycombinator.com/companies/callab-ai/jobs/bJqHpCR-growth-marketer",
        "location": "UA / PL / LT / EE / FR / ES / Remote (UA; PL; LT; EE; FR; ES)",
        "type": "Full-time",
        "role": "Marketing",
        "role_type": null,
        "salary_range": "$50K - $80K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      },
      {
        "id": 102286,
        "title": "Head of SDR",
        "url": "https://www.ycombinator.com/companies/callab-ai/jobs/D1R25qE-head-of-sdr",
        "location": "Remote",
        "type": "Full-time",
        "role": "Sales",
        "role_type": null,
        "salary_range": "$40K - $80K",
        "equity_range": "",
        "experience": "3+ years",
        "visa": "US citizenship/visa not required",
        "skills": []
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 101754,
        "title": "Callab AI - AI voice agents for legacy phone systems.",
        "tagline": "AI voice agents for enterprise contact centers running on legacy phone infrastructure",
        "body": "Hey YC,\n\nWe are Haithem and Chehir - co-founders of  [Callab AI](https://callab.ai/). \n\n**The problem**\n\nThe global call center industry is worth $400B, and about 58% of it still runs on on-prem PBX infrastructure like Cisco UCM, Mitel, and FreeSWITCH. These systems have been in place for 20 years, with millions invested in deploying and maintaining them. They work, and they're not going anywhere.\n\nAI voice agents have been built on top of cloud telephony providers, which means every solution on the market today requires the customer to already be on cloud phone systems. If you're running on-prem, you're locked out. The only option is a full migration to cloud, which typically takes 12 to 18 months, costs a fortune, and frequently fails. Meanwhile, these same companies are dealing with 30 to 40% agent attrition rates, rising labor costs, and customers who won't tolerate hold times. They want automation but they simply can't access it.\n\nThat's a massive segment of a $400B market sitting there with no solution available to them.\n\n**What we built**\n\nCallab AI is a cloud-based AI voice platform that connects directly to on-prem PBX systems via SIP trunk integration. The phone system stays exactly where it is, calls get routed to our AI agents, handled, and returned. No rip-and-replace, no migration, and we go live in one week.\n\nWe automate up to 70% of inbound call volume across use cases like call routing, appointment scheduling, order status, and customer inquiries. The hard part is the integration layer itself, which requires going deep into legacy telecom infrastructure that most teams don't want to touch. We built it to work with any telephony stack, and that's what makes this possible.\n\nWe're YC P25 and currently expanding into the US, focused on hospitality, logistics, retail chains, and property management. Healthcare and financial services are on the roadmap once we complete HIPAA compliance.\n\n![uploaded image](/media/?type=post&id=101754&key=user_uploads/1938837/5d95733e-2ac9-45b4-8f2b-5ef8a8a3b8ca)\n\n**How we got here**\n\nWe didn't set out to become the on-prem PBX company. We started building AI voice agents in the Middle East and Africa, where cloud telephony providers don't operate, SIP trunks are state-regulated, and every contact center runs legacy infrastructure. We had no choice but to build our integration layer to work directly with whatever phone system was already on the ground. After plugging into old telecom stacks, we realized the problem we solved out of necessity in MEA is the exact same problem sitting untouched in the US. The constraint that shaped our product in a harder market turned out to be a global advantage.\n\n**How you can help**\n\nIf you know anyone at a company running a legacy phone system or on-prem contact center, we'd love an intro. Hotels, restaurant groups, logistics operators, large retail, or property management are all ideal. Also happy to connect with anyone who's worked with managed service providers, value-added resellers, or sold into enterprise telecom IT. Drop me a note.",
        "url": "https://www.ycombinator.com/launches/QTC-callab-ai-ai-voice-agents-for-legacy-phone-systems",
        "votes": 14,
        "created_at": "2026-05-22T15:09:13.748Z"
      }
    ]
  },
  {
    "id": 31428,
    "name": "Ontora",
    "slug": "ontora",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/51ba58b94e0a45c3a3cc270067fe72dcf1f9027e.png",
    "website": "https://ontora.com",
    "all_locations": "Berlin, Berlin, Germany",
    "long_description": "Ontora is an AI Agent that interviews every employee to map how work actually gets done and identify bottlenecks. Consultants spend months doing this manually; Ontora does it in hours.\r\n\r\n",
    "one_liner": "AI agents that interviews every employee to hand context to AI tools. ",
    "team_size": 3,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1773487694,
    "tags": [
      "Robotic Process Automation",
      "Enterprise",
      "AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Spring 2026",
    "status": "Active",
    "industries": [
      "B2B",
      "Operations"
    ],
    "regions": [
      "Germany",
      "Europe"
    ],
    "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": "Max led process optimization at Porsche. David built data pipelines in finance. Leon built AI automations at consultancies. They all noticed critical knowledge is trapped inside people's heads and never reaches the people who need it.\r\n\r\nThe team then felt inspired to work on the problem after a tour to Stockholms fastest scaling startups organized by Max, where all three decided to quit their jobs and start a company. "
      },
      {
        "question": "What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?",
        "answer": "Every company already has the answers to most of the questions leadership is asking.\r\n\r\nThe problem: those answers are scattered across hundreds of people, and there's never been a practical way to ask every single employee.\r\n\r\nSo leaders make crucial decisions with partial information or spend months and millions on external consultants to retrieve what the org already knows.\r\n\r\n**What we're building**\r\n\r\nOntora is an AI agent that has a real conversation with every employee in your company within hours.\r\n\r\nIt learns, follows up, and surfaces what people actually do and where they get stuck.\r\n\r\nWe deliver two things: a synthesized answer to the specific question leadership couldn't crack in their last business review (themed insights, process maps, automation roadmap with ROI), and a continuously refreshed operational context that humans and AI agents can both reason over."
      },
      {
        "question": "What is your long-term vision? If you truly succeed, what will be different about the world?",
        "answer": "Answers in hours instead of months. We imagine truly intelligence native companies that unlock the last proprietary data source left in the enterprise: operational knowledge living in your employees heads.\r\n\r\nEnabling cost reduction, post-merger integration, and AI transformation… within hours and at a fraction of the cost of traditional consulting."
      }
    ],
    "url": "https://www.ycombinator.com/companies/ontora",
    "api": "https://devasheeshg.github.io/yc-api/batches/spring-2026/ontora.json",
    "year_founded": 2026,
    "city": "Berlin",
    "country": "DE",
    "linkedin_url": "https://www.linkedin.com/company/ontora/",
    "x_url": "https://x.com/ontoratech",
    "fb_url": null,
    "cb_url": "https://www.crunchbase.com/organization/ontora",
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/51ba58b94e0a45c3a3cc270067fe72dcf1f9027e.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [
      "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/77783f688ca955fad6bf02d0bcff0d2288011691.png",
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    ],
    "primary_partner": {
      "name": "Tom Blomfield",
      "url": "https://www.ycombinator.com/people/tom-blomfield"
    },
    "founders": [
      {
        "user_id": 1846571,
        "full_name": "Leon Iwanowitsch",
        "title": "Founder/CEO",
        "founder_bio": "AI Consulting for Enterprise; 🇨🇭 University of St.Gallen (Europe's #1 Business School), Built Europe's largest Early-Stage StartUp Conference (7k participants e.g. Eric Schmidt), Helped raise 15m Solo GP Fund, Angel Investor",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/leon-j-iwanowitsch/",
        "x_url": "https://x.com/LeonIwanowitsch",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/091999d38e676fd36c0ab9735d1282401ca33cfe.jpg"
      },
      {
        "user_id": 2165528,
        "full_name": "Maximilian Arnold",
        "title": "Founder/COO",
        "founder_bio": "1st AI Engineer @ Porsche in procurement. CS at CODE University and Stanford. Won +$80k in hackathons. Built the official honors exchange partnership to Stanford. ",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/arnold-max/",
        "x_url": "https://x.com/maxonary",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/02f8fee9ed1318020c091b986f7dca072ada839b.jpg"
      },
      {
        "user_id": 1178744,
        "full_name": "David Korn",
        "title": "Founder/CTO",
        "founder_bio": "AI Projects @ Google, exited previous company to beglaubigt.de (YC F24), Computer Science at CODE University (founded by the largest German Unicorn founders)",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/korn-david/",
        "x_url": "https://x.com/dav1dk0rn",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23e82b31b5c7d2f8705c94bdbec42ae0b85ac474.jpg"
      }
    ],
    "jobs": [],
    "news": [
      {
        "title": "Y Combinator P26: Ontora KI-Agenten, Verborgenes Wissen – Ieon Iwanowitsch, Maximilian Arnold, David Korn",
        "url": "https://startup-insider.com/podcast/y-combinator-p26-zwei-monate-alt-ki-agenten-weltweiter-inbound-ieon-iwanowitsch-maximilian-arnold-david-korn/",
        "date": "Apr 27, 2026"
      }
    ],
    "launches": [
      {
        "id": 102685,
        "title": "Ontora - The Discovery Layer for AI Transformation",
        "tagline": "5 enterprise customers, 150+ inbound demos (all a month after launch)",
        "body": "# **One month ago we launched Ontora. Here's what happened**\n\n### Our progress\n\n\\- 5 enterprise customers as design partners (many more to come ;)\\\n\\- 150+ inbound demo calls — we didn't do outbound, they came to us\\\n\\- $700K raised before officially opening our round\\\n\\- 80+ inbound VC calls already lined up for our fundraise\n\n<https://www.youtube.com/watch?v=vI8shNqqmRE>\n\nAnd we released our product live with our first customers !\n\n**1. Why companies are banging down our door:**\n\nEvery company we talk to has the same story: they bought Claude licenses for their teams but merely use it to rewrite emails. The AI transformation stalled because nobody mapped what to actually automate.\n\nThat's the real bottleneck. Not code. Context.\n\nA 800-person European media agency flew to San Francisco to meet us after realizing they'd need 4-5 months and a team of consultants just to understand their own operations. With Ontora, they can map their entire company in days.\n\n![uploaded image](/media/?type=post&id=102685&key=user_uploads/1178744/2bd9ca28-443a-46ef-af8c-ad76dd2d6a9f)\n\n**2. What Ontora does for your company:**\n\nOntora deploys AI agents that interview every employee in your company -- not once, but continuously -- to map out how work actually gets done. We turn that into a living context layer that your AI agents can act on.\n\nWhat used to take a consulting firm 4 months and 50-100 manual interviews, Ontora does in days. And because interviews run continuously, your context layer never goes stale. Your organization keeps learning about itself.\n\n![uploaded image](/media/?type=post&id=102685&key=user_uploads/1178744/56b07749-ae1e-4244-9064-d1dd122baecc)\n\nHere's how it works:\n\n1. **Deploy** -- Ontora's AI agents reach out to employees across your org through async interviews, meeting them where they work\n2. **Map** -- Every interview extracts processes, decision rules, tools used, handoffs, and tribal knowledge into structured operational maps\n3. **Act** -- The living context layer feeds directly into your AI agents and automations so they have the real-world context they need to perform\n\n<https://youtu.be/Culdmbt9uPE>\n\n**3. Who's already using Ontora:**\n\n* **A PE firm in San Francisco** -- deploying Ontora across portfolio companies to drive operational efficiency at speed no consulting firm can match\n* **A major European media agency (800+ employees)** -- building their corporate memory to manage enterprise customers like Volkswagen and Bosch\n* **A 1,000-person European roll-up** -- mapping what their remote workforce actually does day-to-day to build a concrete AI automation roadmap\n* **A US facilities maintenance marketplace** -- extracting the proposal rules and customer preferences locked in their sales team's heads to build the context layer for their AI automations\n\n**4. We want to hear from you:**\n\n* If your mid-market company (200-2,000 employees) is planning AI transformation...\n* If your PE/VC firm wants to drive efficiency across portfolio companies...\n* If your company spent 6 figures on consultants to map processes...\n\n...we need to talk.\n\n[ontora.com/demo](https://ontora.com/demo)",
        "url": "https://www.ycombinator.com/launches/QiD-ontora-the-discovery-layer-for-ai-transformation",
        "votes": 122,
        "created_at": "2026-06-08T17:25:40.562Z"
      },
      {
        "id": 99850,
        "title": "Ontora - Read your company like a book",
        "tagline": "We interview every employee to surface what no CEO can see",
        "body": "We’re [Max](https://www.linkedin.com/in/arnold-max/), [Leon](https://www.linkedin.com/in/leon-j-iwanowitsch/) and [David](https://www.linkedin.com/in/korn-david/) co-founders of [Ontora](https://ontora.com/).\\\n\\\n**TL;DR**\\\n**Ontora is an AI agent that interviews every employee in your company to map how work actually gets done.** Most operational knowledge never gets documented, it lives in people's heads. That’s crucial context inaccessible to decision-makers and AI agents.\\\n**_Ask:_** Imagine you could talk to every employee in your company within 24 hours - What would you ask? Send us your questions. We'll get you the answers: <https://cal.com/ontora/30min>\\\n\\\nOur Launch Video: <https://www.youtube.com/watch?v=JPk4_Nx31nU>\\\n\\\n**Problem**\\\n**Poor knowledge sharing costs Fortune 500 companies $31.5 billion every year.**\n\n* **The knowledge lives in people's heads:** 80% of operational knowledge is tacit and never documented\n* 42% of what an employee produced cannot be covered by other colleagues\n* Employees lose 5.3 hours per week searching for information and filling gaps\n* A 1,000-employee company loses $2.4M per year in productivity due to these gaps\n* **AI can't read minds (yet):** 95% of enterprise GenAI pilots deliver zero measurable business impact. Agents fail because they have no context for how operations actually run.\n\n**Solution**\\\nYou pick a question your last business review meeting couldn't answer. Ontora interviews every employee and gets you the insights within 24 hours.\\\nIt’s not a survey! A real conversation that digs deeper and surfaces what nobody thought to ask about.\\\nBuild your company's operational memory to finally operate with complete clarity:\n\n* **Synthesized findings**: Themed insights with impact ratings, an executive summary, and actionable recommendations\n* **Process mapping**: Visual process maps of how work actually flows across teams\n* **Automation roadmap**: Concrete opportunities with ROI estimates, ready to act on\n* **Proprietary context for your AI tools:** Ontora turns what your people know into a proprietary data source your AI stack can finally work with.\n\n  ![uploaded image](/media/?type=post&id=99850&key=user_uploads/1178744/68dcb300-dc42-4b79-aa10-9f8ec09af0f4)\n\n",
        "url": "https://www.ycombinator.com/launches/PyU-ontora-read-your-company-like-a-book",
        "votes": 144,
        "created_at": "2026-04-17T15:35:36.009Z"
      }
    ]
  },
  {
    "id": 31437,
    "name": "Sidekick",
    "slug": "textsidekick",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/70f52c907fab24ab4f95aa200a11907c5bc3896f.png",
    "website": "https://textsidekick.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sidekick is an AI agent that runs custom manufacturing operations over text. Workers text a problem, photo, video, or voice memo and get an answer from the shop's own documents. It reads live machine data and acts on its own: flagging issues before they become downtime, opening and routing work orders, and placing purchase orders. No app, no login.\r\n\r\nThese shops run on tribal knowledge: a handful of veterans know how every job is set up, and they are retiring. Sidekick learns from every message it handles, so answers outlive the people who gave them, and shops run 15% more jobs with the same crew. Sidekick captures it as a byproduct of the work, in an industry that was never documented.",
    "one_liner": "AI agent that manages manufacturing operations over text",
    "team_size": 1,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1775584801,
    "tags": [
      "SaaS",
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        "id": 109075,
        "title": "Sidekick: AI agent that handles frontline operations over text",
        "tagline": "Sidekick gives frontline workers an AI assistant they can text, with no app, login, or training.",
        "body": "**Hey everyone 👋**\n\nI'm Justin, founder of Sidekick.\n\n**TL;DR** Sidekick is an AI assistant that frontline manufacturing workers use over text message. They text a number and it answers from the company's own documents, creates and routes work orders, and syncs with the software the company already uses. No app, no login, no training. I built Sidekick for my dad's manufacturing shop. It’s now live at facilities across the globe.\n\n**_Ask:_** Do you know anyone who owns or runs a manufacturing plant, warehouse, or industrial facility? I'd love an intro! Email [**justin@textsidekick.com**](mailto:justin@textsidekick.com) or [**book a demo**](https://calendly.com/justin-textsidekick).\n\nCheck out our launch video:\n\n<https://www.youtube.com/watch?v=yxwq5ZAojXg>\n\n## ❌ The Problem\n\nI grew up in my dad's manufacturing plants and spent summers working on the factory floor at EDS Manufacturing.\n\nHere's what I watched happen repeatedly. A machine goes down, everyone's waiting, and the person who can help is in a meeting or on another line. Half the time the answer already existed. Nobody could get to it.\n\nWhy it keeps happening:\n\n* **No computer access.** Nobody on that floor has a company login or an email address, so none of the plant's software reaches them.\n* **The answers are scattered.** An SOP in a binder, a manual on a shared drive few have permissions to, a safety procedure someone printed and taped to a wall in 2019.\n* **The best answers were never written down.** Thirty years of tribal knowledge lives in one guy's head, and when he retires it leaves with him.\n* **So the same questions get asked over and over.** Shift after shift, and every one of them costs somebody their afternoon.\n\nThere are 239,000 manufacturing plants in the US, and only 29% of the people working in them have advanced digital skills. Any tool that requires a download, a login, and training makes adoption difficult.\n\n## ✅ Our Solution\n\nWorkers text the Sidekick phone number. Problems, photos, voice memos, in any language. No app to download, no account to create, nothing to learn. Every worker on the floor already knows how to send a text, which is why adoption isn't a fight.\n\n* **Answers from your own documents.** SOPs, manuals, safety procedures, tribal knowledge. Sidekick responds in the worker's language, in seconds.\n* **Creates and routes the work order.** The issue gets logged and sent to the right person, without anyone needing a laptop.\n* **Syncs with the software you already run.** Sidekick pulls from and writes to your existing systems instead of replacing them, and integrates directly through PLC and SCADA systems so the floor and the software finally see the same thing.\n* **Captures tribal knowledge.** Every exchange builds a searchable knowledge base the company owns, so the know-how stays when the veteran leaves.\n\nHere's a full walkthrough:\n\n<https://www.youtube.com/watch?v=a5zBRSXi-90>\n\n## 👤 The Team\n\nI'm Justin, founder and CEO. I'm the third generation in a manufacturing family, and I've been around plant floors since I was a kid. I studied Computer Science at the University of Pennsylvania, worked in finance at Arm, and left both to build Sidekick after watching the same problem play out on every floor I'd been on.\n\n## 🙏 Our Ask\n\nIf you answer \"yes\" to any of these, I'd love your help:\n\n* **Do you know anyone who owns or runs a manufacturing plant, warehouse, or industrial facility?** Even a name and a \"you two should talk\" goes a long way.\n* **Have you sold software into manufacturing?** I'd love to hear what actually worked and what didn't.\n\nContact me at [**justin@textsidekick.com**](mailto:justin@textsidekick.com) or [**book a demo here**](https://calendly.com/justin-textsidekick)**.**",
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        "full_name": "Nikolas Keller",
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        "founder_bio": "First hire at GC-backed AI Manufacturing Startup, Prev. cooking in French, Italian and German Fine Dining Kitchens. CDTM, Z Fellows.",
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        "user_id": 2725726,
        "full_name": "Lukas Postulka",
        "title": "Founder/CTO",
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        "title": "Walter: AI Employee for the Manufacturing Back Office",
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        "body": "<https://youtu.be/fQHXdii_Hdo>\n\nHey everyone 👋\n\nWe're[ ](https://claude.ai/cowork/LINKEDIN)Nikolas and Lukas, co-founders of Walter. \n\n### **TL;DR**\n\nWalter is an AI employee for the manufacturing back office. Instead of building yet another integration, we gave Walter a login. He signs into SAP, Microsoft Dynamics 365, or Oracle the way a new hire would, works out of Teams and email like the rest of the team, and takes over the manual work no one wanted: entering purchase orders, ordering from suppliers, catching pricing errors before they ship. A purchase order that used to take 15 minutes now takes a few seconds.\n\n### **The Team**\n\n* Nikolas Keller grew up across four countries, started to cook in French, Italian and German fine dining kitchens at 18, then flew to San Francisco with a duffel bag and talked his way into a manufacturing AI startup backed by Neo &amp; GC.\n* Lukas Postulka paid for TU Munich by living in a monastery in exchange for cleaning. Got a job at  PwC by mailing them a portfolio they never asked for. Landed a job as quant trader by scoring first on technical trial.\n\n![uploaded image](/media/?type=post&id=102405&key=user_uploads/3097279/555d91df-f392-4137-ae2a-d5816f70df7b)\n\n### **The Problem**\n\nWe talked to more than 100 manufacturers and heard the same story every time. For thirty years, every vendor sold them the same fix and none of it worked.\n\n* Better integrations, cleaner APIs, a newer ERP: all sold as the answer, none of them the problem.\n* The real bottleneck was never the software. It was that a person had to sit there and operate it, one purchase order at a time.\n* So the back office stays buried in manual data entry, supplier emails, and pricing mistakes caught too late.\n\nThe work is repetitive, high volume, and expensive to staff. Every factory has it. No one has solved it.\n\n### **Our Solution**\n\nWe stopped trying to replace the software. We gave Walter a login instead.\n\nWalter logs into the systems a factory already runs (SAP, Dynamics, Oracle, Teams, Outlook and Gmail, etc.) the way a new employee would. Same screens, same buttons, no integration project, no rip and replace. He reads the orders, enters them, places supplier POs, and catches the pricing mismatch before it becomes a costly mistake. \n\nWhat used to take a back office team now runs on its own.\n\nWe start with packaging and industrial manufacturing, where the ERPs are oldest and the manual load is heaviest. The endpoint is bigger: once Walter runs the workflows, the software underneath becomes a database he operates in.\n\n### **Our Ask**\n\nIf any of these are you, we'd love to talk:\n\n* Manufacturers drowning in back-office data entry across SAP, Dynamics, or Oracle.\n* Operators and heads of digitization who want to see Walter run on their own ERP.\n* Anyone who knows a factory still doing this work by hand.",
        "url": "https://www.ycombinator.com/launches/Qdh-walter-ai-employee-for-the-manufacturing-back-office",
        "votes": 60,
        "created_at": "2026-06-02T16:14:38.154Z"
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        "user_id": 3186832,
        "full_name": "William Alexander",
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        "full_name": "Marshall Kools",
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        "founder_bio": "Co-founder & COO, Arzana | Stanford MS Engineering + Policy | D1 Wrestler",
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        "title": "These A.I. Dreamers Don’t Fit the Stereotype - The New York Times",
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        "id": 99912,
        "title": "Arzana – AI Office Automation for Manufacturers",
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        "body": "Arzana is automating the factory office with AI.\\\n\\\n<https://youtu.be/wbtqEbvezZI?si=XPbpGkzK6XuLnR8B>\n\nAmerican manufacturers waste billions on office staff dedicated to keying in orders, building quotes, and chasing invoices.\n\nAnd when their salespeople get roped into the mess, growth efforts grind to a halt.\n\nArzana automates this repetitive office work with a suite of custom AI Agents that integrate with existing email, ERP, and other systems and handle order entry, quoting, and other mundane tasks.\n\nThe most innovative manufacturers in the country are already using Arzana to process quotes and orders 10x faster, make 70% fewer data-entry errors, and save millions of dollars each year.\n\n[arzana.com](http://arzana.com) | [william@arzana.com](mailto:william@arzana.com) & [marshall@arzana.com](mailto:marshall@arzana.com)\n\n\\-- Marshall and William, Arzana (YC P26)",
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        "full_name": "Seb Poole",
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        "founder_bio": "Building the AI-native ServiceNow.\n\nSerial founder, most recently Frankie now Unmind (Disney, Uber, Lendlease, the MLB as customers, 100m+ raised).",
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        "title": "Modern: the AI-native IT function",
        "tagline": "Secure agents that automate help desk, access, on/off-boarding, hardware, security, and procurement in the channels your team already uses",
        "body": "**TL;DR:**[ Modern](https://getmodern.ai) is consolidating the IT function into a single platform powered by secure agents who understand your business. Help desk, access, hardware, on/off-boarding, security, procurement are automated end-to-end inside the channels your team already uses (Slack, Teams, Email, Voice, WhatsApp, Telegram).\n\nLaunch video:\\\n<https://youtu.be/iSOz7KXU8cY>\n\n**The problem**\n\nWe've spent over a decade buying and implementing clunky IT software (ServiceNow, Jira SM, Ivanti, Zendesk), staffing internal teams, and paying expensive MSPs to keep operations running. Seb previously co-founded Frankie/Unmind, Europe's leading digital mental health company (used by Disney, Uber, Lendlease, Standard Chartered, and the MLB). Aleks has been building developer platforms and scaling engineering teams at Wix and Canva, including Wix's first low-code platform.\n\nToday's ITSM platforms take months to implement, need weeks to design rigid automations, can't improve over time, and have always been hard to leave.\n\nSo we asked: what would this stack look like if it were AI-native from day one?\n\n\\\n**What is Modern**\n\nAn all-in-one secure IT function, Modern splits reasoning from actions which enables the unlock for secure AI in IT.\n\n* Requests are made in the tools where your team works → Slack, Teams, email, voice, WhatsApp, Telegram.\n* Agents reason about each ticket, and the actions they take are separate, code-based workflows derived from your SOPs, written in natural language, or installable skills you approve.\n* Every interaction feeds Modern to better understand your IT operations so automation coverage compounds over time.\n\nModern is for you if:\n\n* The Engineering or Operations teams are handling your IT requests\n* IT tickets pile up faster than your team can clear them\n* Access requests crawl through approval chains (manager → Finance → IT → resolved a week later)\n* On/off-boarding is manual, error-prone, and takes time\n* Compliance and audit prep means stitching logs together from a dozen disconnected tools\n* You’re concerned about security across your growing business\n* Hardware procurement and lifecycle still lives in spreadsheets\n* Your existing ITSM is rigid, expensive, and hasn't gotten smarter since the day you bought it\n* You're paying an MSP for repeatable work that should be automated and running 24/7\n\nWe currently see 80%+ automation across IT team requests.\n\n**If you're without an IT Team**\n\nWe'll get you set up, compliant, and running with a fully outsourced IT function. Book a time → <https://getmodern.ai>.\n\n**If you're without an IT Service Management platform**\n\nAlternatively we are a completely standalone ITSM platform and would love to help you automate your internal IT/Operational requests. Book a time → <https://getmodern.ai>.\n\n**If you're on ServiceNow, Jira SM, or any traditional ITSM/ESM**\n\nWe can sit on top of your existing ITSM/ESM platforms and automate 80%+ of the requests that come through these platforms. Live in a day. Book a time → <https://getmodern.ai>.\n\nConnect with us to follow the journey:\n\n* [https://www.linkedin.com/in/seb-poole](https://www.linkedin.com/in/seb-poole/)\n* [https://www.linkedin.com/in/atomovski](https://www.linkedin.com/in/atomovski/)\n\n**Modern in practice**\n\nModern lives inside the channels your team already uses\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/79e50fc8-c03c-4587-8840-881df31f9c7b)\n\nThey think about the tools and path to resolve the request:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/27a3b0aa-09c8-4230-a30a-76cc6cb4f99a)\n\nUsing secure deterministic workflows built via SOPs, natural language or suggested workflows derived from your data:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/e31e6190-aec5-4c69-b588-6ef6ff2de202)\n\nModern builds an understanding of your company’s decisions, actions, personnel and employee requests:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b39758ec-3c90-404f-8b4a-538d7c415e1d)\n\nAnd via this understanding and your company’s knowledge base, more suggestions for both simple and complex resolutions are made:\n\n![uploaded image](/media/?type=post&id=101078&key=user_uploads/1854581/b8413f15-525f-4d34-9dfe-23f1b1eb4071)\n\n",
        "url": "https://www.ycombinator.com/launches/QII-modern-the-ai-native-it-function",
        "votes": 6,
        "created_at": "2026-05-12T01:01:57.187Z"
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    "name": "Hickory & Company",
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    "linkedin_url": "https://linkedin.com/company/hickoryco",
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      "name": "Aaron Epstein",
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        "full_name": "Joshua Howland",
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        "founder_bio": "Founder / CEO of Hickory\n\nPreviously the co-founder/CTO of Seis (YCW22) which provided online banking for Spanish speakers in the US.",
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    "id": 31825,
    "name": "Kebra",
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    "website": "https://kebra.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Kebra builds AI for skilled technicians.\r\n\r\nKebra guides technicians in the field in real time, documents their job, and automatically handles hours of back-office work; from dispatching technicians to filing warranty claims and managing inventory.",
    "one_liner": "AI For The Skilled Workforce",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1784399832,
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        "full_name": "Luca Hadife",
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        "full_name": "Mohamed Hosny",
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      {
        "id": 108355,
        "title": "Kebra — Making the field queryable",
        "tagline": "We capture what happens in field operations and turn it into the context AI employees need to automate the work that follows",
        "body": "Hey YC! 👋\n\nWe’re [Luca](https://www.linkedin.com/in/luca-hadife/) and [Hosny](https://www.linkedin.com/in/mohamed-hosny-hussein/), founders of [Kebra](https://kebra.com/?utm_source=ycombinator&utm_medium=launch&utm_campaign=yc_launch_2026).\n\n## TL;DR\n\nKebra makes the field queryable.\n\nWe capture what happens across jobs, sites, and assets and turn it into a live operating memory that AI can query and act on. Our AI employees use that context to automate the work that follows across the systems companies already use.\n\nEvery job makes that memory richer, building the company specific context software agents use today and physical agents will need tomorrow.\n\nWe’re already working with field operations companies across Florida, Pennsylvania, and California.\n\n<https://youtu.be/VIwv5iVm8Ok>\n\n## The problem\n\nField operations never got their Claude Code moment.\n\nWe spent months inside HVAC companies trying to automate their back office. We built AI employees for claims, reporting, coordination, and follow ups.\n\nThey kept breaking.\n\nNot because the AI could not do the work, but because it was acting on a reality that never happened. The most important part of the operation happened on the ground and was never properly captured.\n\nA missing serial number. A photo never taken. What the technician actually found stuck in their head.\n\nYou cannot automate an alternate reality. Before AI can operate the field, the field has to become queryable.\n\n## Our Solution\n\nKebra makes field operations queryable.\n\n**Capture what happens:** Field teams document jobs through photos, voice, video, and structured workflows. Kebra checks what is missing while they are still on site.\n\n**Build the operating memory:** Every job updates a live history of sites, assets, repairs, decisions, and how the company actually works.\n\n**AI employees act on it:** They use that context to automate reports, claims, coordination, compliance, follow ups, and other back office work across the systems the company already uses.\n\n## Vision\n\nEvery job makes Kebra’s operating memory richer.\n\nToday, software agents use that context to automate field operations. Tomorrow, physical AI and robots will need the same company specific context to understand each site, asset, procedure, and history before they can work autonomously.\n\nKebra is building the context layer for field operations.\n\n## Our Ask\n\nRun or know a company with field operations where important information gets lost between the field and the office?\n\nEmail us at [founders@kebra.com](mailto:founders@kebra.com) and [book a demo](https://calendar.app.google/s1DwDxHTbxZ9w5Uq6).\\\nFollow us on [LinkedIn](https://www.linkedin.com/company/kebra-com)",
        "url": "https://www.ycombinator.com/launches/SBf-kebra-making-the-field-queryable",
        "votes": 13,
        "created_at": "2026-07-30T22:13:43.328Z"
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    "all_locations": "New York City, NY, USA",
    "long_description": "Bernard builds AI employees for home and commercial appliance servicers. They work across phone, text, email, warranty feeds, and existing systems to manage customer communication, scheduling, and dispatch, carrying each job through diagnosis, parts preparation, technician handoff, and follow-up. At the center is Pre-ID, which combines the exact appliance and its symptoms with repair history, similar completed visits, manufacturer guidance, and parts data to produce a diagnosis, ranked parts, and follow-up questions. Technicians arrive prepared with the right parts, helping servicers complete more repairs on the first visit.\r\n\r\nWe’re building the world’s most efficient appliance servicers, creating happier customers and a more connected appliance ecosystem.\r\n\r\nLearn more at https://bernardhq.com/",
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    "country": "US",
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        "full_name": "Dan Katzman",
        "title": "Founder/CEO",
        "founder_bio": "Dan is the co-founder and CEO of Bernard, where he focuses on building AI employees for the world’s most efficient appliance repair servicers. Before Bernard, he led strategy and operations at Nava Benefits and began his career at City Light Capital and Golub Capital. A native New Yorker, Dan graduated from the University of Southern California.",
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        "full_name": "David Goodfellow",
        "title": "Founder/CTO",
        "founder_bio": "Co-Founder at Bernard (YC S26). Previously Engineering Manager at Radar Labs, where he led the fraud and geo-compliance products. Started career at Disney+. USC B.S. CS/BA + M.S. Data Informatics.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/dgoodfellow/",
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      {
        "id": 111388,
        "title": "Bernard: AI front and back office for appliance repair companies",
        "tagline": "Run every repair from first call to first-time fix.",
        "body": "**Bernard is building the AI front and back office for home and commercial appliance servicers.**\n\nThey manage each repair from the first customer call through scheduling, dispatch, diagnosis, parts preparation, technician handoff, and follow-up. Bernard works across phone, text, email, warranty feeds, and existing field-service systems, carrying the job context across every surface.\n\nWe are already live in the field with some of the largest authorized service companies in the country.\n\nOur goal is simple: make the first visit the last one.\\\n\\\n<https://www.youtube.com/watch?v=eiGjkYMeu2k>\n\n### The first truck roll should not be a diagnostic visit\n\nAppliance repair is an information and inventory problem. A technician cannot simply carry washer parts. The exact appliance, model, revision, symptoms, and failure mode determine which parts might be required, and many nearly identical parts are not interchangeable.\n\nWhen that information does not come together before the appointment, the first visit becomes a diagnostic visit. The technician identifies the failure, orders the part, and returns days later to complete the repair. Customers wait longer, technicians complete fewer jobs, and servicers lose capacity and margin.\n\n### Pre-ID prepares the repair before the truck rolls\n\nWhen a customer reports that their washer will not drain, Bernard does more than book an appointment.\n\nBernard identifies the exact appliance, asks follow-up questions specific to the symptoms, and collects missing evidence from the customer. Pre-ID then combines that information with repair history, similar completed visits, manufacturer guidance, parts data, and the servicer’s own operating knowledge.\n\nBefore the visit, Bernard gives the technician a diagnosis, ranked parts, the most useful next questions, and the evidence supporting each recommendation. The office can prepare the parts, confirm they will arrive on time, and hand the technician a complete picture of the job.\n\nEvery interaction and completed repair feeds back into Bernard, turning the servicer’s daily work into shared knowledge.\n\n### Why start with the servicer?\n\nEvery appliance company makes a promise at the point of sale. The servicer is the person who ultimately has to keep that promise inside someone’s home or business.\n\nThat visit affects the customer, the retailer, the manufacturer, the warranty company, and the parts distributor. Yet the servicer coordinating it is often working across disconnected phone systems, inboxes, scheduling tools, parts catalogs, and knowledge held by a few experienced employees.\n\nWe believe that building the world’s most efficient appliance servicers will create happier customers and a more connected appliance ecosystem.\n\nBernard starts with the servicer because that is where the industry meets the physical world.\n\n### About us\n\n[Dan Katzman](https://www.linkedin.com/in/dankatzman/) previously helped build Nava Benefits' strategy and operations team, working across the product and operational infrastructure required to deliver a complicated, service-heavy experience reliably, while also leading partnerships. Before Nava, he invested at City Light Capital and Golub Capital.\n\n[David Goodfellow](https://www.linkedin.com/in/dgoodfellow/) grew from product engineer to engineering manager at Radar Labs, where he led fraud and geo-compliance products and helped replace the incumbent provider at DraftKings and Bet365. Before that, he worked on RPA and cognitive automation at Disney, before enterprise automation was cool.\n\n### Talk to us\n\nIf you run an appliance service company or lead service operations at an appliance manufacturer, retailer, warranty company, or service network, reach out to us at [founders@bernardhq.com](mailto:founders@bernardhq.com)\n\n![uploaded image](/media/?type=post&id=111388&key=user_uploads/3076324/2cf911ba-3755-4320-a8b0-e809cf265e3c)\n\n",
        "url": "https://www.ycombinator.com/launches/Sya-bernard-ai-front-and-back-office-for-appliance-repair-companies",
        "votes": 5,
        "created_at": "2026-08-20T20:30:00.201Z"
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    "name": "Rote",
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    "website": "https://tryrote.com/",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rote handles the entire negotiation lifecycle between shops and insurance companies to help them recover thousands of dollars in denied claims. Shops today lose millions per year because they lack the resources to negotiate with insurance companies that undervalue repair costs. Rote's agents recover denied revenue by taking shop estimates and referencing technical repair data to autonomously file and defend shop claims.",
    "one_liner": "AI-native insurance department for auto body shops",
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    "industry": "B2B",
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    "launched_at": 1778719731,
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    "batch": "Winter 2027",
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    "year_founded": 2026,
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    "country": "US",
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        "full_name": "Aditya Mittal",
        "title": "Founder/CEO",
        "founder_bio": "Founder and CEO of Rote (YC W27). A CS student at Cornell, he built scaled iCloud Mail Intelligence at Apple and engineered the computer vision pipelines powering Toyota’s autonomous factory fleets. A 4x hackathon winner focused on agentic AI applications, he developed machine learning infrastructure for Raytheon and served as Vice President of the Cornell Entrepreneurship Club.",
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      {
        "user_id": 2145284,
        "full_name": "Gabriel Castillo",
        "title": "Founder/CTO",
        "founder_bio": "Building the AI-native insurance department for auto body shops.\nCS @ Cornell | ex-SWE @ Apple (AI Tools & Automation). Previously built the fastest-growing dating app at Cornell.",
        "is_active": true,
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    "id": 32256,
    "name": "Zaplar",
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    "website": "https://zaplar.com",
    "all_locations": "Stockholm, Stockholm County, Sweden",
    "long_description": "Zaplar is the AI-native operating system for hotels.\r\n\r\nHotels run on legacy software and a fragmented tech stack. Zaplar replaces the entire hotel tech stack (PMS, POS, booking engine, etc) with one software that can handle hotel operations autonomously.\r\n\r\nLearn more at https://zaplar.com",
    "one_liner": "Agentic Hotel Operating System",
    "team_size": 7,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1784823049,
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    "batch": "Summer 2026",
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    "regions": [
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      "Europe"
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    "stage": "Early",
    "app_video_public": false,
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    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/zaplar",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/zaplar.json",
    "year_founded": 2026,
    "city": "Stockholm",
    "country": "SE",
    "linkedin_url": "https://www.linkedin.com/company/zaplar",
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      {
        "user_id": 3037509,
        "full_name": "Douglas Solberg",
        "title": "Founder/CEO",
        "founder_bio": "CEO of Zaplar. Previously studied physics and mathematics at the University of Chicago. At 14, I started a web development and cinematography business, with customers including some of the biggest brand in the Nordics, and has award-winning photographs. At 18, I started a nonprofit that built 30 solar systems in Tanzania. I also had a SWE internship at Newscoop and held an internship at the Becker Friedman Institute for Economics.",
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        "linkedin_url": "https://www.linkedin.com/in/douglas-solberg/",
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      {
        "user_id": 3424482,
        "full_name": "Axel Andersson Lingbert",
        "title": "Founder/COO",
        "founder_bio": "Co-founder at Zaplar. Previously worked in consulting for banks and debt collection companies, and in hotels and restaurants, where I saw firsthand the problems Zaplar solves.\n\nMSc engineering mathematics Lund Faculty of Engineering (LTH) dropout; co-led anti-money laundering (AML) and counter-terrorist financing (CTF) group at major Swedish bank.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/axel-andersson-lingbert",
        "x_url": "https://x.com/axelanderssonl",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d10aa88068d9616b0640d057136e583a589ed109.jpg"
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      {
        "user_id": 3167383,
        "full_name": "Oscar Karlstromer",
        "title": "Founder",
        "founder_bio": "Founder at Zaplar. Previously Honors List at Stockholm School of Economics (dropout); founder of the Nordic's largest non-profit for middle school academic competitions (40k students, 13-person team); worked APAC B2B sales, leading projects with accounts >$1M AUD across Sydney and Singapore.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/oscarkarlstromer/",
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      {
        "user_id": 3423827,
        "full_name": "Jon Milles",
        "title": "Founder/CTO",
        "founder_bio": "Coding since 12 MSc computer science Lund Technical University (LTH) dropout Security Software Engineer at the largest cybersecurity firm in the Nordics at 17 part of first LTH Formula Student team to achieve autonomous driving.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jon-milles",
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    "launches": [
      {
        "id": 107463,
        "title": "Zaplar - Replacing PMS and the Hotel Tech Stack.",
        "tagline": "Replacing the fragmented hotel tech stack with one system that can understand and run hotel operations.",
        "body": "Hi everyone, we're Axel, Oscar, Jon, and Douglas, founders of Zaplar.\n\n**TL;DR:** Zaplar is an agentic hotel OS that replaces the fragmented hotel tech stack (PMS, booking engine, channel manager, POS, revenue management, housekeeping, and more) with one system built from the ground up for AI. We're eight people with backgrounds in hotel operations, engineering, AI research, and cybersecurity.\n\n![uploaded image](/media/?type=post&id=107463&key=user_uploads/3037509/c7720ef9-5a08-43eb-9631-4fefb2d239b6)\n\n**Ask:** Intros to hotel owners and operators who are unhappy with their PMS, and to executives and C-suite at hotel groups planning their next core system replacement. Details at the bottom. Reach us at [founders@zaplar.com](mailto:founders@zaplar.com).\n\n[Launch Video!](https://youtu.be/bpfJATRnYQM)\n\n## The problem\n\nIncumbents are bolting AI onto systems built for a different era. They provide a layer of AI to the end user, but the automations beneath it stay constrained. Their claim to use AI is correct. They just can't reason across the operation or automate work end to end.\n\nNo existing PMS or bolt-on solution gives hotels the architecture AI actually requires. And even if one did, a PMS alone still wouldn't automate hotel operations. It's one of as many as 15 systems a hotel runs, each built on a different architecture, each focused on one part of the operation, none able to act beyond its own boundaries.\n\nAI can't run a hotel if it can't understand the hotel.\n\nTo unlock the full potential of AI, a hotel has to run on a single system with a unified architecture: one that lets AI reason across the entire property, free of the boundaries integrations create and the context each one isolates behind them. Incumbents can't build this without replacing the foundation their business depends on, and they won't.\n\nWe arrived at this the slow way. Douglas's family has spent their careers running hotels, and we first built Zaplar to solve event bookings for them. In demo after demo, hotels were already evaluating another PMS, including ones that had just switched. Even leading vendors did not make a product hotels wanted to use.\n\n## The solution\n\nZaplar was built on this thesis from the start: the first truly AI-native operating system for hotels. It’s the path of most resistance, but the only way to do it right.\n\n![uploaded image](/media/?type=post&id=107463&key=user_uploads/3037509/5a0f8f2c-bcb0-4ebc-a3e1-e2c30c80baec)\n\nZaplar spatially maps out the entire property and its resources so that AI agents can reason across the hotel and understand how everything connects. On top of this architecture sit a PMS, POS, channel manager, booking engine, guest portal, housekeeping system, and more, with no boundaries between them. The result is an autonomous system that works in the background and completes work on its own. The system surfaces suggestions for staff to review, edit, and approve.\n\nOur goal is to be vertically integrated. Beyond deeper automation and richer context, the greatest benefit is that we can put all our effort into staying at the forefront, because we're not constrained by what anyone else is doing. Major hotel groups are starting to replace their aging systems, and we intend to be the only option on the table designed for what comes after.\n\n![uploaded image](/media/?type=post&id=107463&key=user_uploads/3037509/ad3b8b01-9f05-41f1-877e-952a35dc8e8a)\n\n## Our ask\n\n**Hotel owners and operators.** If you own or operate a hotel that is unhappy with its PMS, we would love to talk directly.\n\n**Executives and C-suite at hotel groups.** This is the intro we want most. Anyone at the VP level or above at a group, especially COOs, CIOs, CTOs, and heads of operations or commercial, and above all anyone whose group is planning a core system replacement in the next 18 months.\n\n**Everyone else.** You do not need to know their software situation to make the intro useful. We are focused on independents, small and mid-size groups, and boutique and luxury properties. If you have stayed somewhere you loved, send us the name and we will take it from there.\n\nReach us at [founders@zaplar.com](mailto:founders@zaplar.com) or learn more at [zaplar.com](http://zaplar.com).",
        "url": "https://www.ycombinator.com/launches/RxH-zaplar-replacing-pms-and-the-hotel-tech-stack",
        "votes": 20,
        "created_at": "2026-07-31T14:37:04.324Z"
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    "id": 32520,
    "name": "Snowstone",
    "slug": "snowstone",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/5fd1252bd802d29775f848bb916f4456301ae679.png",
    "website": "https://snowstone.ai",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Snowstone helps private equity firms drive operational value creation with AI. It's like a performance improvement engagement from a top consulting firm, but built from the company's own data, delivered in one week, and with every finding traced to its source. Today, private equity firms rely on consultants to find where portfolio companies can improve. That work depends on interviews and data requests, so the conclusions are secondhand, biased by internal politics and hard to check. Snowstone goes straight to the source data. It analyzes how a portfolio company actually operates and identifies automation potential, duplicated work, process bottlenecks and key-person risk, each quantified by its EBITDA impact.",
    "one_liner": "AI-Driven Value Creation and Margin Expansion for Private Equity",
    "team_size": null,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1780900630,
    "tags": [
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    ],
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    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2026",
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    "industries": [
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
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    "url": "https://www.ycombinator.com/companies/snowstone",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/snowstone.json",
    "year_founded": null,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/snowstone-ai",
    "x_url": "https://x.com/Cerenovusai",
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    "primary_partner": {
      "name": "Tyler Bosmeny",
      "url": "https://www.ycombinator.com/people/tyler-bosmeny"
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    "id": 32622,
    "name": "Rational",
    "slug": "rational",
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    "website": "https://rational.to",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Rational is building the first accounting firm with no humans. It's entirely run by our AI employees, who go from client intake to doing the books to filing with the IRS. We secure 90% cost reduction, 24/7 support, and an overall seamless experience for businesses.",
    "one_liner": "First Zero-human Accounting Firm",
    "team_size": 2,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1784172515,
    "tags": [
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      "Enterprise",
      "AI"
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    "regions": [
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/rational",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/rational.json",
    "year_founded": 2026,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/rationalto",
    "x_url": "https://x.com/RationalDotTo",
    "fb_url": null,
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    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/88c9150f7633337a9e66431f2838539b473b583f.png",
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    "primary_partner": {
      "name": "Jared Friedman",
      "url": "https://www.ycombinator.com/people/jared-friedman"
    },
    "founders": [
      {
        "user_id": 1591705,
        "full_name": "Jibril Moinuddin",
        "title": "Founder/CEO",
        "founder_bio": "CEO at Rational. Previously founding engineer at Buckeye AI, TrueFoundry. Founded STEMplicity Education. Dropped out of University of Michigan. Non-Trivial Fellow.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/jibril-moinuddin-32702b271/",
        "x_url": "https://x.com/JibrilAsif",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9218a0f71bb3d439dfb97ee0da080509800aefe7.jpg"
      },
      {
        "user_id": 3411828,
        "full_name": "Christ Xu",
        "title": "Founder/CTO",
        "founder_bio": "CTO at Rational. Prev Youngest Tencent Senior SWE.  2x IOI Camp, IMO Camp, published algo researcher.",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/in/christ-xu-687868298",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/23ba5c0e4852292e86dfe9667dd895b8c678ad64.jpg"
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    ],
    "jobs": [
      {
        "id": 106940,
        "title": "Forward-Deployed Engineer",
        "url": "https://www.ycombinator.com/companies/rational/jobs/FGBkhzz-forward-deployed-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": 106941,
        "title": "Machine Learning Researcher ",
        "url": "https://www.ycombinator.com/companies/rational/jobs/vRTNbJi-machine-learning-researcher",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106942,
        "title": "Software Engineering Intern",
        "url": "https://www.ycombinator.com/companies/rational/jobs/6ycNzJc-software-engineering-intern",
        "location": "San Francisco, CA, US",
        "type": "Internship",
        "role": "Engineering",
        "role_type": "Full stack",
        "salary_range": "$8K - $12K / monthly",
        "equity_range": "",
        "experience": null,
        "visa": "US citizen/visa only",
        "skills": []
      },
      {
        "id": 106944,
        "title": "Applied AI",
        "url": "https://www.ycombinator.com/companies/rational/jobs/u1XiPpU-applied-ai",
        "location": "San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$120K - $200K",
        "equity_range": "0.50% - 2.00%",
        "experience": "Any (new grads ok)",
        "visa": "US citizen/visa only",
        "skills": []
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    ],
    "news": [
      {
        "title": "Rational Launches AI Employees for Accounting Firms",
        "url": "https://insidepublicaccounting.com/2026/07/17/rational-launches-ai-employees-for-accounting-firms/",
        "date": "Jul 17, 2026"
      }
    ],
    "launches": [
      {
        "id": 114437,
        "title": "Rational - First Zero-human Accounting Firm",
        "tagline": "Agents will be trusted.",
        "body": "<https://www.youtube.com/watch?v=IX4-sMxdslk>\n\n**We’re disrupting the disruptors.**\n\nYou’ve heard of so many AI accounting startups already. These new “AI-native” accounting firms are still designed to be run by humans in two facets: the first 25%, fostering client relationships, and the final 25%, signing off and filing with the IRS.\n\n**Josh Kushner’s company, Thrive Holdings, the largest disruptor in this space, explicitly argues that agents will never replace this** \\[1\\]**.** Their reasoning? Agents don’t carry trust.\n\nCurrently, agents are not trusted, humans are. That’s why every AI startup nowadays does the work, and leaves judgment to a human. But this is changing, and we’re early. As new agent-centric companies grow (Instinct, Natural, AgentMail), agents become common in daily life and work, and eventually will become trusted entities \\[2\\].\n\nOnce agents are trusted, there is no reason they cannot own entire, traditionally trust-heavy industries, end-to-end. Rational is building for that world.\n\n**Reach out to [founders@rational.to](mailto:founders@rational.to) or visit [rational.to](http://rational.to) if interested in learning more.**\n\n---\n\n\\[1\\] <https://www.thriveholdings.com/long-humans>. A fraction of the market does care about trust and the human relationship with their accountant, but most of us definitely do not want to spend a second more with one than we have to.\n\n\\[2\\] These companies inherently bet on agents to proliferate in society. We also believe AI will continue to get better and safer. Since trust is achieved through consistent, positive actions, and it is in the interest of the entire tech industry for their agents to produce consistent positive actions, our firm will be the first to enjoy the principles to do concrete work in a massive market.",
        "url": "https://www.ycombinator.com/launches/Tll-rational-first-zero-human-accounting-firm",
        "votes": 22,
        "created_at": "2026-09-09T19:03:11.387Z"
      },
      {
        "id": 112573,
        "title": "Rational - AI Employees for Accounting Teams",
        "tagline": "AI employees for in-house accounting teams",
        "body": "Rational builds AI employees for in-house accounting teams. They onboard themselves, handle real work within existing tools, and keep a human in control of every decision that matters. \n\nOur AI employees conduct interviews with each role on your team, creating a mental map of your workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your team. They’re truly your AI employees.\n\nWe’re live with major enterprise customers, including a Fortune Global 100.\n\n<https://youtu.be/IYdMo3m6_Es>\n\nToday, we’re also releasing our Web Playground for early access.\n\n**Visit rational.to/book-demo to get access.**\n\nNot part of an accounting team but know someone in PE, advising, or accounting? We would love to talk. Email [founders@rational.to](mailto:founders@rational.to).",
        "url": "https://www.ycombinator.com/launches/THh-rational-ai-employees-for-accounting-teams",
        "votes": 3,
        "created_at": "2026-08-28T16:00:00.566Z"
      },
      {
        "id": 106060,
        "title": "Rational: AI Employees for Accounting",
        "tagline": "24/7 hires to solve the talent shortage within your firm's existing stack",
        "body": "Rational builds AI employees for accounting and tax firms. They onboard themselves to your firm, handle real work within your existing tools, and keep a human in control of every decision that matters — so firms can finally say yes to the clients they've been turning away.\n\n<https://youtu.be/mcF30tmNLTg>\n\n_The problem_\n\nAccounting has an economics problem: demand is there, capacity isn't. Most firms turned away paying clients last year simply because they didn't have the people to do the work, and the talent pool keeps shrinking as accountants leave the profession faster than firms can replace them. More software hasn't fixed this — and a chatbot that summarizes a spreadsheet definitely hasn't. The parts of accounting that actually matter, like judgment, trust, and sign-off, should stay human. Everything around them shouldn't have to be a bottleneck.\n\n_Our solution_\n\nRational’s AI employees conduct interviews with each role on your team, creating a mental map of your firm’s workflows, inefficiencies, and who to route approvals to. After you connect them to your current stack, they simply do the work, 24/7. They learn from every single interaction and become more accurate over time — and their insights are completely isolated for your firm. They’re truly _your_ AI employees.\n\nRational already works with every firm size: from individuals to Fortune Global 500 companies. Doing everything from document-chasing to research to tax preparation, our employees supplement your firm’s labor without the significant onboarding curve or cost of a new hire.\n\n_Book a Demo_\n\nStop saying no to clients or retaining inefficiencies in your firm. Hire your first AI employees today, at <https://rational.to/book-demo>.\n\nNot an accounting firm but know someone in PE, advising, or accounting? We would love an introduction. Email founders@rational.to.",
        "url": "https://www.ycombinator.com/launches/Rae-rational-ai-employees-for-accounting",
        "votes": 18,
        "created_at": "2026-07-17T17:45:59.589Z"
      }
    ]
  },
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    "id": 36777,
    "name": "Sona8",
    "slug": "sona8",
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/68fe01dae2c3bf0906f880c9a0f3fca2b2a16863.png",
    "website": "https://sona8.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Sona8 uses AI voice agents to interview employees about how work gets done. Consulting, transformation and corporate development teams use it to hear from more people and follow up after changes.\r\n\r\nEmployees open a link and speak in their own language. The agent asks follow-up questions, and teams compare problems across sites and departments. We’ve completed 10,000+ employee interviews and signed one of the world’s top three consulting firms.\r\n\r\nWe’re building the context layer and operating system for strategy teams: combining employee knowledge with company data to understand operations, improve processes and put decisions into action. The same context will guide AI agents as they take over work, so the company keeps what it learns.",
    "one_liner": "Context layer from employee voices to improve & automate workflows",
    "team_size": 5,
    "industry": "B2B",
    "subindustry": "B2B -> Operations",
    "launched_at": 1788994017,
    "tags": [
      "HR Tech",
      "Infrastructure",
      "AI",
      "Conversational AI"
    ],
    "tags_highlighted": [],
    "top_company": false,
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        "body": "**TL;DR:** [Sona8](https://sona8.com/) is building the context layer for AI automation tools, starting with AI voice surveys of employees. Corporate development, transformation and consulting teams use Sona8 to find out how to improve or automate processes.\n\n<https://www.youtube.com/watch?v=jGs7M46UsSE>\n\nWe're [Thilo](https://www.linkedin.com/in/ttamme/), [Madeleine](https://www.linkedin.com/in/mmalmsten/) and [Anton](https://www.linkedin.com/in/anton-hantel/). We're building Sona8.\\\nAt BCG and McKinsey we often interviewed a few dozen people, hired interpreters and came back with a deck. The processes that were written down were never the lived processes and a few dozen interviews never gave us the full picture.\\\n\\\n**How it works**\n\n* **Choose what you want to improve or automate.** Pick a question and the people to survey. This could be about sales quoting or mapping processes before implementing AI.\n* **Survey employees with AI voice agents.** Employees talk to our voice agent about their work, in their own language. The agent asks follow-up questions to understand the problems they describe.\n* **Use the findings and check progress.** See themes across interviews by department, get process maps, and ask again later to see what changed.\n\n\\\n**Already live**\\\nWe’ve completed more than 10,000 employee interviews and signed one of the top three consulting firms.\\\n\\\n**Where this is going** \\\nCompanies will try a lot of AI agents and automation tools in the next few years. Each one needs to know how the work is done before it changes anything, and most of that isn't written down. Sona8 creates infrastructure for AI automation tools. Over time we are building a live context graph of workflows by reading the systems a company already uses and connecting them to what employees say. \\\n\\\n**Who it’s for**\\\nSona8 is for corporate development and transformation teams in enterprises, and the consulting firms supporting them. Reach out if you want to understand and improve how work gets done, roll out AI, or build AI tools that understand real-world workflows.\\\n**👉 [Book a demo](https://sona8.com/book-demo) / [anton@sona8.com](mailto:anton@sona8.com)**\n\n\\\n**Team**\n\n* [Anton Hantel (CEO):](https://www.linkedin.com/in/anton-hantel/) ex BCG, MIT MBA (dropped out)\n* [Thilo Tamme (CPO): ](https://www.linkedin.com/in/ttamme/)ex BCG X, TUM Conversational AI PhD (dropped out)\n* [Madeleine Malmsten (CTO):](https://www.linkedin.com/in/mmalmsten/) ex McKinsey QuantumBlack\n* [Jakob Schepers (Founding Engineer):](https://www.linkedin.com/in/jakob-schepers/) TUM CS Master's\n* [Niklas Schneider (Founding Account Executive): ](https://www.linkedin.com/in/nikschneider/) ITONICS, Maastricht SBE",
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