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Caffeine, Default (caffeinated): ratings leave decaf out. Counts, cost and Caffeinated vs. decaf include it.

All time · Mountain Time

People
  • Per person: Totals and rates ÷ 2: an even split (Bean Conqueror doesn't record who brewed).
  • Household: Everyone's brews together.

Findings

Possible
  • The gap is 1.5 to 2 times its margin of error: about 87% sure, so it could still be chance.
  • Under 1.5 times its margin of error gets no badge.
+1.0
3 bags · Data
Peru coffees rate 1.0 higher
Peru coffees rate 1.0 higher
14 of 14
14 bags · Data
All 14 of your co-ferments are Colombia
All 14 of your co-ferments are Colombia
100 days
At 102g/day. Bought 43.3kg vs brewed 28.4kg in this period. 278 days · Data
10.2kg on hand, about 100 days
10.2kg on hand, about 100 days
  • At 102g/day. Bought 43.3kg vs brewed 28.4kg in this period.
$2.04
41 brews · Data
$2.04 a cup
$2.04 a cup
30%
Shoebox, H&S and Big Sur. Rising: Ceto, 13 of your last 117 bags (7 of 213 before). 323 bags, 44 roasters · Data
Top 3 roasters: 30% of bags
Top 3 roasters: 30% of bags
  • Shoebox, H&S and Big Sur. Rising: Ceto, 13 of your last 117 bags (7 of 213 before).
3 brews Slowest: Flower Child Lisbeth Mariño - SL9
3 of 5 bags Right on brew 1
5 bags · Data
Dial-in takes up to 3 brews
Dial-in takes up to 3 brews
  • Slowest: Flower Child Lisbeth Mariño - SL9: 3 brews
  • Right on brew 1: 3 of 5 bags
0% Share of brews by roast level each month. 3 months · Data
Light: 71% → 0% of brews
Light: 71% → 0% of brews
  • Share of brews by roast level each month.
$21.49 313 bags · Data
$/100g went from $17.81 to $21.49
$/100g went from $17.81 to $21.49

On hand, Top roasters and $/100g count whole bags: the water filter doesn't apply.

This page tests : by chance alone, under one would earn Likely.

Top stories

2 bags rescued after a rough start

Possible
  • The gap is 1.5 to 2 times its margin of error: about 87% sure, so it could still be chance.
  • Under 1.5 times its margin of error gets no badge.
2 of 4

Their first two brews averaged 6.8; once dialed, 8.0. Almost none would look rescued by chance alone. None started well then dropped.

4 bags See the data →

Myth busters

No clear link between rest and rating yet

r = 0.08 ± 0.37 Rest days and rating line up at r = 0.02; with brew number held fixed, r = 0.08. Most brews rested 41–83 days; outside that it can't say. 32 brews · Data

What if…

100 days to clear · empty on 2027-02-21 10.2kg on hand
Backlog runway
Each month
173 brews 3.1kg a cup
a month At / 100g, your last 12 months' average a year
Monthly spend

Whole bags: the water filter doesn't apply.

Too early to tell

  • Taste3 bags

    H&S Peru Roger x Eli beats like coffees by 0.8

    Not yet enough to rule out chance.

    33% there About 6 more bags would settle it.
  • Taste8 bags

    Washed coffees rate 0.8 lower

    Not yet enough to rule out chance.

    30% there Too small a difference to settle with your data.
  • Dial-in70 bags

    Lotus - Ultralight Mg + K (880mL) is right on brew 1; Filtered water settles by brew 3

    Not yet enough to rule out chance.

    8% there
Built with help from Claude Code, an AI coding assistant How AI was used Contact

How this site was built

I built Bean Tracker with Claude Code, Anthropic's AI coding assistant. Here's who does what.

What I do

  • Set the direction: which features get built, and in what order
  • Drive the technical decisions, drawing on my experience as a Staff SRE, DevOps engineer, and software engineer: architecture, hosting, testing, and releases
  • Bring nearly all of the coffee knowledge, from recipes, gear, and pour structure to extraction, rest, and water
  • Shape every design: I review each spec and push back on layout, wording, and behavior until it's right
  • Test every change in a live preview, on desktop and on my phone
  • Set the engineering standards: tests at every screen size, shareable links for every view, signed commits, and staged releases
  • Own the data: every coffee, rating, and note, plus the judgment calls on it
  • Run the infrastructure the site lives on: hosting, domains, and backups
  • Act as project manager and technical lead, and decide what gets published, including this note

What Claude Code does

  • Writes nearly all of the code and automated tests, following my direction
  • Drafts the designs, specs, plans, and docs for me to review
  • Researches options and explains the tradeoffs so I can decide
  • Analyzes my brewing data to suggest values, which I confirm or change
  • Releases and deploys changes once I give the go-ahead
  • Often runs several AI agents at once: one builds while another reviews

Nothing ships without my sign-off. I review every change in a live preview, and automated tests plus a separate AI code review check the code itself.

Questions or concerns?

If you have a question, spot a mistake, or want something removed (for instance, a photo of your coffee's label), email me at [email protected].
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