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feat(throughput): script natively computes to-date + run-rate multiples

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Enhanced scripts/garry-output-comparison.ts so both calculations come
out of a single run instead of being reassembled ad-hoc in bash:

PerYearResult now includes:
- days_elapsed — 365 for past years, day-of-year for current
- is_partial — flags the current (in-progress) year
- per_day_rate — logical/raw/commits normalized by calendar day
- annualized_projection — per_day_rate × 365

Output JSON's `multiples` now has two sibling blocks:
- multiples.to_date — raw volume ratios (2026-YTD / 2013-full-year)
- multiples.run_rate — per-day pace ratios (apples-to-apples)

Back-compat: multiples.logical_lines_added still aliases to_date for
older consumers reading the JSON.

Updated README hero to cite both (picking up brain/* repo that was
missed in the earlier aggregation pass):

  2026 run rate: ~880× my 2013 pace (12,382 vs 14 logical lines/day)
  2026 YTD:      260× the entire 2013 year

Stderr summary now prints both multiples at the end of each run.

Full analysis at ~/throughput-analysis-2026-04-18.md (local-only).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Garry Tan
2026-04-18 12:15:19 +08:00
parent d0645830ca
commit 629bb53e97
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README.md
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@@ -6,7 +6,7 @@ When I heard Karpathy say this, I wanted to find out how. How does one person sh
I'm [Garry Tan](https://x.com/garrytan), President & CEO of [Y Combinator](https://www.ycombinator.com/). I've worked with thousands of startups — Coinbase, Instacart, Rippling — when they were one or two people in a garage. Before YC, I was one of the first eng/PM/designers at Palantir, cofounded Posterous (sold to Twitter), and built Bookface, YC's internal social network.
**gstack is my answer.** I've been building products for twenty years, and right now I'm shipping more products than I ever have. In the last 60 days: 3 production services, 40+ shipped features, part-time, while running YC full-time. On logical code change — not raw LOC, which AI inflates — my 2026 run rate is **~700× my 2013 pace** (9,859 vs 14 logical lines/day). Year-to-date (through April 18), 2026 has already produced **207× the entire 2013 year**. Measured across 41 public + private `garrytan/*` repos including Bookface. AI wrote most of it. The point isn't who typed it, it's what shipped.
**gstack is my answer.** I've been building products for twenty years, and right now I'm shipping more products than I ever have. In the last 60 days: 3 production services, 40+ shipped features, part-time, while running YC full-time. On logical code change — not raw LOC, which AI inflates — my 2026 run rate is **~880× my 2013 pace** (12,382 vs 14 logical lines/day). Year-to-date (through April 18), 2026 has already produced **260× the entire 2013 year**. Measured across 41 public + private `garrytan/*` repos including Bookface. AI wrote most of it. The point isn't who typed it, it's what shipped.
**2026 — 1,237 contributions and counting:**