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  "prompt": "What was the total estimated H1 2023 operating burn for CogniSynth \u2014 pre-hire, as proposed in the initial operating budget memo \u2014 and what was the projected fully-burdened annual cost per engineer that David used to size the pre-seed engineering team build-out?",
  "gold": "Total H1 2023 pre-hire operating burn: approximately $67,200 (legal $24,000 + accounting $15,000 + office space $21,000 + software/subscriptions $7,200, per memo_initial_operating_budget_v1.md). David's projected fully-burdened annual cost per engineer was approximately $200,000 (per memo_fundraising_strategy_h1_2023.md).",
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    "answer": "## Answer\n\n- **Total estimated H1 2023 operating burn (pre-hire):** **$67,200** \u2014 per Maya's \"Initial Operating Budget \u2014 First Six Months (H1 2023)\" memo to Ben (Jan 30, 2023), covering Legal ($24,000) + Accounting ($15,000) + Office Space ($21,000) + Software/Subscriptions ($7,200). Excludes salaries, benefits, capex (`agent_memory/memory/memos/memo_initial_operating_budget_v1.md:73-75`).\n\n- **Projected fully-burdened annual cost per engineer:** **$200,000** \u2014 used in the H1 2023 fundraising strategy memo (which David Chen was helping Maya flesh out) to size the pre-seed engineering team build-out: \"assuming an average fully-burdened cost of $200K per engineer annually, this alone accounts for roughly $1 million over 18 months\" for 5 engineering FTEs (`agent_memory/memory/memos/memo_fundraising_strategy_h1_2023.md:20`).",
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            "outputPreview": "1\tMEMORANDUM\n2\t\n3\tTO: Ben Carter\n4\tFROM: Maya Singh\n5\tDATE: January 30, 2023\n6\tRE: Initial Operating Budget - First Six Months (H1 2023)\n7\t\n8\tHey Ben,\n9\t\n10\tHope your weekend was good! Mine was a blur of trying to get that deck finalized for the potential investors \u2013 you know how it is. Anyway, I wanted to get a handle on our initial operating budget for the first six months of this year. This is \u2026",
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            "outputPreview": "agent_memory/investors/due_diligence/email_to_foundry_financials.md-85-I've started reviewing the financial model (`CogniSynth_Financial_Model_v1.md`). It's comprehensive. A few initial points jump out:\n/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/investors/due_diligence/email_to_foundry_financials.md-86-\nagent_memory/investors/due_dilig\u2026",
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            "outputPreview": "15\t\n16\tOur primary objective for this pre-seed round is to raise **$1.5 million**. This figure wasn't plucked out of thin air, of course. It\u2019s based on a detailed projection of our operational needs and strategic growth initiatives for the next 18-24 months.\n17\t\n18\tThe core of our burn rate projection stems from scaling the engineering team, enhancing our cloud infrastructure, and initiating early\u2026",
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            "outputPreview": "19-8.  [Appendices](#appendices)\n20:    *   [Appendix A: Detailed Salary Breakdown](#appendix-a-detailed-salary-breakdown)\n21-    *   [Appendix B: Detailed OpEx Breakdown](#appendix-b-detailed-opex-breakdown)\n--\n30-\n31:[Omitted long matching line]\n32-\n--\n44-*   **Average Salary:** Based on San Francisco Bay Area market rates for comparable roles, adjusted for startup stage. Includes a 3% annual in\u2026",
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            "outputPreview": "25\t## 1. Introduction\n26\t\n27\tThis document outlines the financial model for CogniSynth's upcoming pre-seed fundraising round. It has been developed collaboratively by Maya Singh and Ben Carter to support the narrative and projections detailed in Maya's [memo on fundraising strategy for H1 2023](#f245). The primary goal of this model is to clearly articulate our hiring plan, operating expenses, and\u2026",
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        "text": "## Answer\n\n- **Total estimated H1 2023 operating burn (pre-hire):** **$67,200** \u2014 per Maya's \"Initial Operating Budget \u2014 First Six Months (H1 2023)\" memo to Ben (Jan 30, 2023), covering Legal ($24,000) + Accounting ($15,000) + Office Space ($21,000) + Software/Subscriptions ($7,200). Excludes salaries, benefits, capex (`agent_memory/memory/memos/memo_initial_operating_budget_v1.md:73-75`).\n\n- **Projected fully-burdened annual cost per engineer:** **$200,000** \u2014 used in the H1 2023 fundraising strategy memo (which David Chen was helping Maya flesh out) to size the pre-seed engineering team build-out: \"assuming an average fully-burdened cost of $200K per engineer annually, this alone accounts for roughly $1 million over 18 months\" for 5 engineering FTEs (`agent_memory/memory/memos/memo_fundraising_strategy_h1_2023.md:20`).",
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    "answer": "I have both numbers. Line 20 of the fundraising memo explicitly states the per-engineer assumption David used to size the build-out.\n\n## Answer\n\n- **Total estimated H1 2023 operating burn (pre-hire):** **$67,200** \u2014 from Maya's *Initial Operating Budget* memo (Jan 30, 2023). Broken down as Legal $24,000 + Accounting $15,000 + Office Space $21,000 + Software & Subscriptions $7,200 (\u2248$11,200/month). Explicitly excludes salaries, benefits, and capital expenditures; the $25K \"Office Setup & FF&E\" line Chloe later proposed was a follow-up addition, not part of the initial $67,200 figure.\n\n- **Fully-burdened annual cost per engineer (David's sizing assumption):** **~$200K/engineer/year** \u2014 used in the pre-seed fundraising memo to size the engineering build-out: 5 FTEs \u00d7 $200K \u00d7 18 months \u2248 $1M (memo_fundraising_strategy_h1_2023.md:20).",
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            "outputPreview": "1\tMEMORANDUM\n2\t\n3\tTO: Ben Carter\n4\tFROM: Maya Singh\n5\tDATE: January 30, 2023\n6\tRE: Initial Operating Budget - First Six Months (H1 2023)\n7\t\n8\tHey Ben,\n9\t\n10\tHope your weekend was good! Mine was a blur of trying to get that deck finalized for the potential investors \u2013 you know how it is. Anyway, I wanted to get a handle on our initial operating budget for the first six months of this year. This is \u2026",
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        "text": "I have the H1 2023 burn ($67,200). Now I need the per-engineer figure David used. The fundraising memo shows $1M for 5 engineers \u2014 let me verify David's specific assumption.",
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            "outputPreview": "# supermemory semantic search \u2014 10 results for \"David ,000 per engineer fully burdened annual\"\n# searches by meaning across files in this container. usage:\n#   grep \"natural language query\"          search all files\n#   grep \"query\" path/to/dir/              search within directory\n# output: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)\n\n/memory/memos/memo_q1_20\u2026",
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            "outputPreview": "1\tMEMORANDUM\n2\t\n3\tTO: The CogniSynth Leadership Team\n4\tFROM: Maya Singh, Co-Founder & CEO\n5\tDATE: May 5, 2023\n6\tRE: Pre-Seed Fundraising Strategy: H1 2023 & Beyond\n7\t\n8\tTeam,\n9\t\n10\tAs we gear up for what feels like a pivotal moment for CogniSynth, I wanted to lay out a comprehensive strategy for our upcoming pre-seed fundraising round. This memo is intended to serve as our guiding document for the\u2026",
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        "text": "I have both numbers. Line 20 of the fundraising memo explicitly states the per-engineer assumption David used to size the build-out.\n\n## Answer\n\n- **Total estimated H1 2023 operating burn (pre-hire):** **$67,200** \u2014 from Maya's *Initial Operating Budget* memo (Jan 30, 2023). Broken down as Legal $24,000 + Accounting $15,000 + Office Space $21,000 + Software & Subscriptions $7,200 (\u2248$11,200/month). Explicitly excludes salaries, benefits, and capital expenditures; the $25K \"Office Setup & FF&E\" line Chloe later proposed was a follow-up addition, not part of the initial $67,200 figure.\n\n- **Fully-burdened annual cost per engineer (David's sizing assumption):** **~$200K/engineer/year** \u2014 used in the pre-seed fundraising memo to size the engineering build-out: 5 FTEs \u00d7 $200K \u00d7 18 months \u2248 $1M (memo_fundraising_strategy_h1_2023.md:20).",
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