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What was the total estimated H1 2023 operating burn for CogniSynth — pre-hire, as proposed in the initial operating budget memo — and what was the projected fully-burdened annual cost per engineer that David used to size the pre-seed engineering team build-out?

Gold answer

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).

Filesystem View raw JSON
Input
749k
Output
762
Steps
15
Tools
9
Latency
57.3s
Cost
$11.29
#2 Ran ls /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/ 50 chars
Command Bash 
ls /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/

{
  "description": "List agent_memory contents"
}
Result 7 lines 
customers
decks
hiring
investors
legal
memory
team
#3 Read /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/ 15,313 chars
Command Grep 
{
  "pattern": "CogniSynth|operating burn|H1 2023|fully-burdened|pre-seed",
  "path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/",
  "output_mode": "files_with_matches"
}
Result 7 lines 
Found 250 files limit: 250
agent_memory/investors/outreach/email_maya_to_sarah_romano_intros.md
agent_memory/investors/outreach/email_intro_request_to_kevin_yi.md
agent_memory/investors/outreach/email_cold_outreach_to_apex_partners.md
agent_memory/investors/outreach/email_maya_to_various_investors_wave2.md
agent_memory/investors/outreach/email_sarah_romano_intro_to_foundry.md
agent_memory/investor…
#4 Edited agent_memory/memory/memos/memo_initial_operating_budget_v1.md 37,961 chars
Command Read 
{
  "file_path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/memory/memos/memo_initial_operating_budget_v1.md"
}
Result 10 lines 
1	MEMORANDUM
2	
3	TO: Ben Carter
4	FROM: Maya Singh
5	DATE: January 30, 2023
6	RE: Initial Operating Budget - First Six Months (H1 2023)
7	
8	Hey Ben,
9	
10	Hope your weekend was good! Mine was a blur of trying to get that deck finalized for the potential investors – 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 …
#6 Read /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/ 6,642 chars
Command Grep 
{
  "pattern": "fully-burdened|fully burdened|per engineer|burdened cost|engineering team|engineering build|engineers.*cost|cost per engineer",
  "path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/",
  "output_mode": "files_with_matches"
}
Result 7 lines 
Found 108 files
agent_memory/investors/outreach/email_intro_request_to_kevin_yi.md
agent_memory/investors/outreach/email_sarah_romano_intro_to_foundry.md
agent_memory/investors/outreach/investor_update_email_template_may_2023.md
agent_memory/investors/due_diligence/email_to_foundry_financials.md
agent_memory/investors/follow_ups/email_foundry_partner_meeting_scheduled.md
agent_memory/investors/fol…
#7 Read /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/ 4,160 chars
Command Grep 
{
  "pattern": "fully.burdened|fully burdened",
  "path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/",
  "output_mode": "content",
  "-C": 2
}
Result 3 lines 
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:
/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/investors/due_diligence/email_to_foundry_financials.md-86-
agent_memory/investors/due_dilig…
#8 Edited agent_memory/memory/memos/memo_fundraising_strategy_h1_2023.md 8,078 chars
Command Read 
{
  "file_path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/memory/memos/memo_fundraising_strategy_h1_2023.md",
  "offset": 15,
  "limit": 40
}
Result 4 lines 
15	
16	Our 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’s based on a detailed projection of our operational needs and strategic growth initiatives for the next 18-24 months.
17	
18	The core of our burn rate projection stems from scaling the engineering team, enhancing our cloud infrastructure, and initiating early…
#10 Read /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/ 3,805 chars
Command Grep 
{
  "pattern": "\\$200K|200K|200,000|burdened.*engineer|engineer.*burdened",
  "path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/",
  "output_mode": "content",
  "-C": 1,
  "head_limit": 30
}
Result 3 lines 
/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/investors/decks/data_room_summary_v1.md-112-| **Operating Expenses**|              |              |              |
agent_memory/investors/decks/data_room_summary_v1.md:113:| *R&D*               | $1,200,000   | $1,800,000   | $750,000     |
/Users/prasanna/Documents/supermemoryai/supermemoryfs…
#12 Read agent_memory/team/finance/financial_model_fundraising_v1.md 2,222 chars
Command Grep 
{
  "pattern": "engineer|burdened|salary|David",
  "path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/team/finance/financial_model_fundraising_v1.md",
  "output_mode": "content",
  "-C": 1,
  "head_limit": 40
}
Result 9 lines 
19-8.  [Appendices](#appendices)
20:    *   [Appendix A: Detailed Salary Breakdown](#appendix-a-detailed-salary-breakdown)
21-    *   [Appendix B: Detailed OpEx Breakdown](#appendix-b-detailed-opex-breakdown)
--
30-
31:[Omitted long matching line]
32-
--
44-*   **Average Salary:** Based on San Francisco Bay Area market rates for comparable roles, adjusted for startup stage. Includes a 3% annual in…
#13 Edited agent_memory/team/finance/financial_model_fundraising_v1.md 17,510 chars
Command Read 
{
  "file_path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_008/agent_memory/team/finance/financial_model_fundraising_v1.md",
  "offset": 25,
  "limit": 75
}
Result 3 lines 
25	## 1. Introduction
26	
27	This 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…
#15 Reasoning 832 chars 
## Answer

- **Total estimated H1 2023 operating burn (pre-hire):** **$67,200** — per Maya's "Initial Operating Budget — 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`).

- **Projected fully-burdened annual cost per engineer:** **$200,000** — 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`).
Answer
## Answer - **Total estimated H1 2023 operating burn (pre-hire):** **$67,200** — per Maya's "Initial Operating Budget — 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`). - **Projected fully-burdened annual cost per engineer:** **$200,000** — used in the H1 2023 fundraising st…
Judge: covers all asked facts
SMFS Won View raw JSON
Input
451k
Output
347
Steps
11
Tools
6
Latency
30.4s
Cost
$6.80
#2 Ran smfs grep "H1 2023 operating burn CogniSynth" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_008… 2,170 chars
Command Bash 
smfs grep "H1 2023 operating burn CogniSynth" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_008/agent_memory/

{
  "description": "Semantic search for H1 2023 operating burn"
}
Result 7 lines 
# supermemory semantic search — 10 results for "H1 2023 operating burn CogniSynth"
# searches by meaning across files in this container. usage:
#   grep "natural language query"          search all files
#   grep "query" path/to/dir/              search within directory
# output: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)

/memory/memos/memo_q1_2023_financial…
#3 Ran smfs grep "fully-burdened annual cost per engineer pre-seed" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/worksp… 3,649 chars
Command Bash 
smfs grep "fully-burdened annual cost per engineer pre-seed" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_008/agent_memory/

{
  "description": "Semantic search for fully-burdened cost per engineer"
}
Result 7 lines 
# supermemory semantic search — 10 results for "fully-burdened annual cost per engineer pre-seed"
# searches by meaning across files in this container. usage:
#   grep "natural language query"          search all files
#   grep "query" path/to/dir/              search within directory
# output: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)

/memory/memos/memo_fu…
#5 Edited agent_memory/memory/memos/memo_initial_operating_budget_v1.md 37,961 chars
Command Read 
{
  "file_path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_008/agent_memory/memory/memos/memo_initial_operating_budget_v1.md"
}
Result 10 lines 
1	MEMORANDUM
2	
3	TO: Ben Carter
4	FROM: Maya Singh
5	DATE: January 30, 2023
6	RE: Initial Operating Budget - First Six Months (H1 2023)
7	
8	Hey Ben,
9	
10	Hope your weekend was good! Mine was a blur of trying to get that deck finalized for the potential investors – 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 …
#6 Ran smfs grep "David fully burdened engineer cost pre-seed sizing" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/work… 4,559 chars
Command Bash 
smfs grep "David fully burdened engineer cost pre-seed sizing" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_008/agent_memory/

{
  "description": "Search for David sizing engineering team"
}
Result 7 lines 
# supermemory semantic search — 10 results for "David fully burdened engineer cost pre-seed sizing"
# searches by meaning across files in this container. usage:
#   grep "natural language query"          search all files
#   grep "query" path/to/dir/              search within directory
# output: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)

/memory/memos/memo_…
#8 Reasoning 173 chars 
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 — let me verify David's specific assumption.
#9 Ran smfs grep "David $200,000 per engineer fully burdened annual" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/works… 2,680 chars
Command Bash 
smfs grep "David $200,000 per engineer fully burdened annual" /Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_008/agent_memory/

{
  "description": "Find David's engineer cost figure"
}
Result 7 lines 
# supermemory semantic search — 10 results for "David ,000 per engineer fully burdened annual"
# searches by meaning across files in this container. usage:
#   grep "natural language query"          search all files
#   grep "query" path/to/dir/              search within directory
# output: <filepath>:<line_start>-<line_end>:<chunk> (chunk text is verbatim from the file)

/memory/memos/memo_q1_20…
#10 Edited agent_memory/memory/memos/memo_fundraising_strategy_h1_2023.md 31,401 chars
Command Read 
{
  "file_path": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_008/agent_memory/memory/memos/memo_fundraising_strategy_h1_2023.md"
}
Result 10 lines 
1	MEMORANDUM
2	
3	TO: The CogniSynth Leadership Team
4	FROM: Maya Singh, Co-Founder & CEO
5	DATE: May 5, 2023
6	RE: Pre-Seed Fundraising Strategy: H1 2023 & Beyond
7	
8	Team,
9	
10	As 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…
#11 Reasoning 841 chars 
I have both numbers. Line 20 of the fundraising memo explicitly states the per-engineer assumption David used to size the build-out.

## Answer

- **Total estimated H1 2023 operating burn (pre-hire):** **$67,200** — 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 (≈$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.

- **Fully-burdened annual cost per engineer (David's sizing assumption):** **~$200K/engineer/year** — used in the pre-seed fundraising memo to size the engineering build-out: 5 FTEs × $200K × 18 months ≈ $1M (memo_fundraising_strategy_h1_2023.md:20).
Answer
I have both numbers. Line 20 of the fundraising memo explicitly states the per-engineer assumption David used to size the build-out. ## Answer - **Total estimated H1 2023 operating burn (pre-hire):** **$67,200** — 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 (≈$11,200/month). Explicitly excludes salaries, benefits, and capital expenditures; the $25K "Office Setup & FF&E" li…
Judge: covers all asked facts