Guide2 June 2026 · By

Why PINtPOINT picks a better pint.

PINtPOINT is built to help you choose what to drink next, from the beers actually on tap in front of you. These four essays explain that approach from four angles: the problem with most beer recommendation systems, the engine behind PINtDEXTER, the flavour vocabulary that makes recommendations easier to read, and the drinking experience that turns a tap list into a better decision.

The four subjects

1
Problem
Why the usual approach is broken.
2
Engine
How PINtDEXTER works instead.
3
Ingredients
Hop flavour vocabulary, in plain English.
4
Experience
What the pint actually feels like to drink.

Where to start

Three reader-types, three reading routes. Tap one to light its path through the set:

Is this app for me?
Start with Problem, then jump to Experience. The first explains what's wrong with how most beer apps recommend; the last shows what a useful answer to should I order this? actually looks like.
How does it actually work?
Start with Problem, then Engine. The first frames the gap in beer-recommender design; the second is the engineering essay on how PINtDEXTER closes it.
I just want a better pint right now.
Start with Ingredients, then Experience. The first gives you the vocabulary to read a tap list with confidence; the second gives you a reading method for the pint in front of you.

The four essays

1 · Problem

Why collaborative-filtering recommenders — the ones built on top of Untappd ratings or RateBeer reviews — keep producing the same disappointing pours. Cold start, popularity bias, geography-blindness. A response to two public academic attempts, and the design constraint PINtPOINT optimises against instead.

2 · Engine

The engineering essay. How PINtDEXTER learns taste quickly, builds a profile for each beer, and matches both against what is actually on tap nearby. The mechanics, the architecture, the bug that exposed the need for a better fermentation signal — and the BEERS LIKE THIS twin-finder that reads the full BEER DNA (six main axes, body, ABV bucket, family, and personality across five sub-families) into a here's-where-to-drink-its-cousins lookup.

3 · Ingredients

A practical taxonomy for the ingredient that does most of the personality work in modern beer. Six teaching categories (citrus, tropical, pine & resin, stone fruit & berry, floral & herbal, earthy & spicy), the chemistry behind them, and per-variety cards for the hops you'll actually meet on a tap list — the vocabulary you'll need to read a recommendation or steer one.

4 · Experience

A reading method for the pint in front of you. Eight axes — Body, Bitterness, Sweetness, Roast, Fruit, Finish, Softness, Complexity — plus drinker cues, a drinkability bucket, and one plain-English "what it feels like" sentence per beer. Sits alongside the in-app personality picker, which now spans five families (Hop · Malt · Fruit · Yeast · Finish) and twenty-three labels — saisons get Spicy, lambics get Funky, helles get Bready / Crisp, rauchbiers get Smoky — instead of falling back to the old generic Hoppy/Malty/Fruity triple.

Source material

Try PINtPOINT