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.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.
APPIKtivity, APPIK Table, APPIK Today, and APPIK charge each focus on a different everyday decision loop.
Account, profile, preferences, memory, and consent should travel across product surfaces instead of starting cold every time.
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.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.Turns links, newsletters, podcasts, and video into useful signals instead of passive intake.
Attention, topics, sources, recurring interests, content momentum, and decision triggers.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.- IdentityOne account and profile anchor the products.
- MemoryUseful context survives beyond a single session.
- PreferencesTaste, constraints, and defaults become explicit.
- SignalsActions, timing, content, and plans add live context.
- Context engineShared signals become product-ready understanding.
- Better startsThe next surface begins with less cold-start friction.
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.
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.
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.
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.- APPIK Table learns household rhythm and realistic constraints.
- APPIKtivity uses timing and energy context to suggest better starts.
- 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