Use it with your next bag
$0 / while in preview
- Daily Brew and recipe timer
- On-device label reading
- Context Score + Taste Signals
- Local My Beans notebook
- Filter and espresso intelligence
- JSON backup and restore
06 — FEEDBACK & ROADMAP
FREE WHILE WE BUILDBuilt with
coffee lovers.
Bean On Bar is being shaped around real buying, brewing, travel, and tasting moments. The most important input is feedback from people using the native app with real bags, real brewers, and real cups.
One commitment is already part of the design: your saved beans, notes, recipes, and brew logs should stay exportable in open formats. Read the terms →YOUR INPUT
FEEDBACKHelp make it better
Tell us / what worked
- Which bag labels OCR struggled with
- Which brew recipe felt right or wrong
- What you wish My Beans remembered
- Whether Daily Brew feels useful
- What would make Context Score feel fair
- What should stay simple and local
OPTIONAL SERVICES
Helpful later,
never forced now.
The app now frames sync, alerts, and support as optional services that only become useful once someone has built a real coffee memory. Export stays part of the free local-first promise.
Use the notebook on another device
Sync is useful only when someone wants their coffee memory to follow them. Local JSON backup and restore should remain available either way.
Let Bean On Bar watch for you
Watchlist alerts can become useful once users care about rare beans, returning lots, or cafes carrying something worth tasting.
Back the project voluntarily
Support should feel like helping a coffee tool improve, not paying to unlock basic ownership of personal notes.
Improve the flow anonymously
Anonymous product events can help spot friction, but should never include label text, photos, saved beans, notes, prices, or locations.
WHAT WE WANT TO LEARN
Trust is built
cup by cup.
The app should improve because coffee lovers tell us where it helped, where it missed, and what still feels confusing. Feedback is part of the product, not a side channel.
Label reading
Which bags did OCR handle well? Which labels, roast dates, varieties, or tasting notes needed manual correction?
Signal trust
Did the Context Score explain itself clearly enough? Were the Taste Signals useful, fair, and easy to inspect?
Brew results
Did the recommended recipe produce a good first cup? What adjustment made it sweeter, cleaner, fuller, or less harsh?
Coffee memory
What should My Beans remember so your future self can buy better, brew better, and rediscover coffees you loved?
Our feedback promise. Bean On Bar should stay useful before it becomes bigger. No invented reviews, no hidden score boosts, no ad-network tracking, and no pressure to pay just to protect your own coffee notes. Read the trust principles →
Join the coffee-lover feedback loop