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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

4 brews Slowest: Shoebox Bookissa
5 of 6 bags Right on brew 1
6 bags · Data
Dial-in takes up to 4 brews
Dial-in takes up to 4 brews
  • Slowest: Shoebox Bookissa: 4 brews
  • Right on brew 1: 5 of 6 bags
0.33 Weekdays
0.45 Weekends
Brews per day. 278 days · Data
You brew more on weekends
You brew more on weekends
  • Weekdays: 0.33
  • Weekends: 0.45
  • Brews per day.
$21.49 313 bags · Data
$/100g went from $17.81 to $21.49
$/100g went from $17.81 to $21.49
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.
$2.87
95 brews · Data
$2.87 a cup
$2.87 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).

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

This page tests : by chance alone, about 1 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 8

Their first two brews averaged 6.4; once dialed, 7.8. Almost none would look rescued by chance alone. None started well then dropped.

8 bags See the data →

Myth busters

No clear link between rest and rating yet

r = -0.01 ± 0.22 Rest days and rating line up at r = 0.02; with brew number held fixed, r = -0.01. Most brews rested 43–86 days; outside that it can't say. 84 brews · Data

Your brew variables barely move the rating

|r| ≤ 0.09 Ratio, dose, bloom, time and 01 w/102Brews grind all stay within |r| ≤ 0.09 of your rating, within a bag, each give or take 0.22 at most. 84 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

  • Taste8 bags

    Love Letters Charming Coffees Halo Beriti - Special Prep Washed - Ethiopia Washed Process trails like coffees by 3.3

    Not yet enough to rule out chance.

    42% there About 11 more bags would settle it.
  • Taste5 bags

    Natural coffees rate 1.2 higher

    With 2 process groups compared, one usually stands out by chance.

    56% there About 4 more bags would settle it.
  • Taste27 bags

    Washed coffees rate 1.0 lower

    With 2 process groups compared, one usually stands out by chance.

    54% there About 23 more bags would settle it.
  • Taste5 bags

    Kenya coffees rate 0.8 higher

    With 2 origin groups compared, one usually stands out by chance.

    26% there Too small a difference to settle with your data.
  • Taste4 bags

    Shoebox rates 1.3 above like coffees

    Not yet enough to rule out chance.

    27% 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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