ALogin with APPIK
Product surfacesNo. 01 / UNIFIED Layer

One identity.Shared context.Better starts.

APPIK is becoming the personal intelligence layer for everyday life. Each product has its own job, but they share identity, memory, preferences, signals, and context so every next start feels warmer than the last.

04Product surfaces

APPIKtivity, APPIK Table, APPIK Today, and APPIK charge each focus on a different everyday decision loop.

01Shared identity

Account, profile, preferences, memory, and consent should travel across product surfaces instead of starting cold every time.

UNIFIEDShared intelligence

Time windows, energy, interests, household rhythms, content signals, and momentum flow into one context engine.

Surface map

Four products. One UNIFIED Layer.

The public story should be simple: each surface solves one recurring decision problem while teaching the same APPIK context.
PilotAPPIKtivity

Turns vague intent into startable action across offline, online, and hybrid moments. The scope is not limited to one city.

Time windows, energy, social mode, interests, places, content, and fallback plans.
BetaAPPIK Table

Helps decide what to eat, what fits the pantry, and how household rhythm becomes easier.

Food preferences, recurring constraints, pantry reality, household patterns, and planning rhythm.
ComingAPPIK Today

Turns links, newsletters, podcasts, and video into useful signals instead of passive intake.

Attention, topics, sources, recurring interests, content momentum, and decision triggers.
LaterAPPIK charge

A premium surface for curated density, better selection, and reliable decision support.

Quality thresholds, urgency, premium intent, confidence, and willingness to pay for fewer bad options.

UNIFIED Layer model

The intelligence is shared, not duplicated.

APPIK should not make people rebuild context in every product. The UNIFIED Layer carries what is useful, respects what is private, and lets each surface start from a better understanding.
  1. IdentityOne account and profile anchor the products.
  2. MemoryUseful context survives beyond a single session.
  3. PreferencesTaste, constraints, and defaults become explicit.
  4. SignalsActions, timing, content, and plans add live context.
  5. Context engineShared signals become product-ready understanding.
  6. Better startsThe next surface begins with less cold-start friction.
01

Activation loop

APPIKtivity

APPIKtivity takes the moment before the scroll seriously: I could do something, but what actually fits right now? The product thinks in start steps, Plan B, time windows, energy, social mode, interests, online content, offline places, and hybrid situations.
Stage
Pilot
Teaches UNIFIED Layer
Intent quality, timing, energy, social mode, place fit, content fit, and fallback behavior.
02

Beta

APPIK Table

APPIK Table is Decision Intelligence for Food: what should we eat, what fits our pantry, who prefers what, and how does the week get easier? It teaches the UNIFIED Layer household rhythm, recurring constraints, preference memory, and realistic planning.
Stage
Beta
Teaches UNIFIED Layer
Household rhythm, pantry reality, recurring food constraints, preference memory, and planning tolerance.
03

Coming

APPIK Today

The content side of the UNIFIED Layer: links, newsletters, podcasts, YouTube, Twitch, and other sources should not only trigger consumption, but feed better recommendations, plans, and interest profiles.
Stage
Coming
Teaches UNIFIED Layer
Source quality, attention patterns, interests, content momentum, and what changes the next decision.
04

Later

APPIK charge

APPIK charge is planned as a later premium surface: curated density, better selection, and less friction for people with limited time, high standards, and a need for reliable decision support.
Stage
Later
Teaches UNIFIED Layer
Quality thresholds, premium intent, urgency, decision confidence, and the value of removing bad options.

Compounding example

One signal should improve the next surface.

If APPIK Table learns that a household plans lighter meals on busy evenings, APPIKtivity can avoid suggesting badly timed outings, while APPIK Today can recognize which food, health, or planning content actually changes the next decision.
  1. APPIK Table learns household rhythm and realistic constraints.
  2. APPIKtivity uses timing and energy context to suggest better starts.
  3. APPIK Today turns useful content into signals for future decisions.
The product suite is not a menu. It is one personal intelligence layer learning across contexts.

Product status

Follow the UNIFIED Layer as it becomes real.

APPIK should earn attention through visible product progress, not oversized claims. The status page keeps pilot, beta, and planned surfaces grounded in what is actually supportable.
View product status