Stats

Ratings
Brews
Show
Rank by
  • Rating: average of your ratings.
  • Brews: number of brews.
  • Grams: grams brewed.
  • Spend: money spent on bags bought in the period.
  • $/g: price per gram of bags bought in the period.
  • vs like coffees: rating minus similar coffees' (same roast; process, roaster and origin too when there are enough).

How scores work

Default

Default. Coffees: Confidence adj. (light). Other boards: Average (3+ bags).

Average

Raw average. The average of each bag's rating; a bag counts once, weighted by its rated brews (n/(n+2): 1 brew a third, 4 brews two thirds, 10 brews 0.83), so a sachet brewed once can't outvote a full bag. Bags at 9 (10 brews) and 6 (1 brew) → 8.1. A one-bag roaster at 9.5 ranks above them.

Average (3+ bags) (default for other boards). The same average; rows marked Low confidence are left out: coffees with under 4 rated brews, groups under 3 bags or 10 rated brews. A one-bag roaster at 9.5 is not listed; a 3-bag, 12-brew roaster at 8 is.

Confidence adj. (light) (default for Coffees). Adjusted for confidence: the average pulled toward your overall average, as if every group had 2 extra bags at that average (light). A coffee (one bag) gets 2 extra brews instead, so one lucky brew can't top the board. A roaster's one 10-brew bag at 10 → 7.9; four at 9.5 → 8.6. A coffee at 9 over 6 brews → 8.5.

Confidence adj. (strong). The same, with 5 extra bags, or 5 extra brews for a coffee (strong): small groups stay close to your overall average. One 10-brew bag at 10 → 7.4; four at 9.5 → 8.0. A coffee at 9 over 6 brews → 8.1.

Peak

Best brew. The highest single brew rating in the group. Brews of 8, 9 and 10 → 10.

Best, conf. adj. (light). The best brew, pulled toward your overall average as if you had 2 extra brews at that average. A score hit repeatedly counts for more than a single lucky one. One 10 → 8.0. Four 9.5s → 8.7.

Best, conf. adj. (strong). The same, with 5 extra brews. One 10 → 7.5. Four 9.5s → 8.1.

Examples assume your overall average is 7.0.

Custom range

Filters

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.
  1. 1 H&S 30 bags $859.98
  2. 2 Shoebox 46 bags $780.08
  3. 3 The Picky Chemist 16 bags $633.90
  4. 4 Big Sur 21 bags $450.84
  5. 5 Scenery 19 bags $413.66
  6. 6 Sey 19 bags $398.49
  7. 7 GWO 14 bags $332.01
  8. 8 norml coffee ppl 13 bags $312.46
  9. 9 XLIII 6 bags $279.00
  10. 10 Luminous 7 bags $248.00
  1. 1 Panama Hacienda La Esmeralda Trapiche 2 AFB The Picky Chemist · 1 bag $70.20
  2. 2 NUEVA ALIANZA - ‘INCA GESHA’ #4734 XLIII · 1 bag $68.00
  3. 3 SUPER SECRET ADVENT DROP - SKIPISPURP - Totumas Ara Cold Fermentation Natural Noumenon Coffee · 1 bag $64.00
  4. 4 Neyra Chininin Washed Gesha - Alto Ihuamaca, Peru GWO · 1 bag $63.00
  5. 5 Neyra Chininin Washed Gesha - Alto Ihuamaca, Peru GWO · 1 bag $63.00
  6. 6 Nueva Alianza Orange Gesha #4737 XLIII · 1 bag $58.00
  7. 7 Nueva Alianza Sidra #4736 XLIII · 1 bag $58.00
  8. 8 029 - Alina Milagros Aviary · 1 bag $54.00
  9. 9 El Turpial Double Ferment Washed Gesha The Picky Chemist · 1 bag $54.00
  10. 10 El Turpial Double Ferment Washed Gesha The Picky Chemist · 1 bag $54.00
  1. 1 Colombia 86 bags
  2. 2 Ethiopia 82 bags
  3. 3 Peru 39 bags
  4. 4 Ecuador 24 bags $585
  5. 5 Kenya 32 bags
  6. 6 Panama 15 bags
  7. 7 Burundi 13 bags
  8. 8 Rwanda 8 bags
  9. 9 Guatemala 8 bags
  10. 10 Honduras 5 bags
  1. 1 Gesha 60 bags
  2. 2 Landrace 34 bags
  3. 3 SL28 23 bags
  4. 4 SL34 20 bags
  5. 5 Ruiru 11 19 bags
  6. 6 SL9 9 bags
  7. 7 Batian 16 bags
  8. 8 74158 14 bags
  9. 9 Pink Bourbon 15 bags
  10. 10 Mejorado 12 bags
  1. 1 Gesha Village Coffee Estate 7 bags $177.32
  2. 2 Bernard Uhe 4 bags $171.42
  3. 3 Emerson Felipe Narváez 3 bags $157.51
  4. 4 Marlon Bolaños 9 bags $155.14
  5. 5 Elkin Guzman 4 bags $126.00
  6. 6 Samuel Diego Bermudez 5 bags $117.14
  7. 7 Dwight Aguilar Masías 2 bags $113.00
  8. 8 Abel Salinas 4 bags $107.28
  9. 9 Yulisa Carhuallocllo 3 bags $106.00
  10. 10 Bressani family 4 bags $98.68

Process group

Shown as
  1. 1 Washed 203 bags
  2. 2 Natural 45 bags
  3. 3 Extended Ferment Washed 15 bags
  4. 4 Honey 21 bags
  5. 5 Anaerobic Natural 12 bags $327

Roast level

Shown as
  1. 1 Ultralight 193 bags
  2. 2 Nordic Light 80 bags
  3. 3 Nordic 27 bags
  4. 4 Light 18 bags
  5. 5 Hyperlight 9 bags

Not ranked by Spend: it's per bag.

Not ranked by Spend: it's per bag.

Not ranked by Spend: it's per bag.

Not ranked by Spend: it's per bag.

Spend per month, all 2 caffeine kinds

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].

v1.110.7 Last updated: Last deployed: