Help Me Decide
Get the smartest cook-versus-buy answer for right now based on budget, time, and effort.
Food Decision Engine
Decide what to eat or drink without overthinking it.
PikaNini helps users decide the smartest way to eat right now, compare whether to cook or buy, act on the best option, and understand their food habits over time through practical insights on budget, variety, similarity of diet, habits, and food choices.
4 intents
Home starts with simple decisions instead of scanning first.
2 options
Cook path and buy path are compared side by side.
1 platform
Decision support, action tools, and insights work together.
Cook Something
Use what you already have, find better swaps, and move into guided cooking fast.
Eat Out or Order
Compare nearby food and drink options before spending money or time on the wrong choice.
Scan Food or Drink
Identify a dish or drink when you are out, curious, or trying to recreate what you just saw.
Why PikaNini
PikaNini is a decision-first food platform with a personal intelligence layer.
It is not a traditional recipe app, not a pure delivery marketplace, and not a medical nutrition platform. PikaNini helps users decide what to eat, compare cook-versus-buy options, act on the best option, and understand their food behavior over time.
Product vision
A food decision engine, not just a recipe or delivery app
PikaNini is built to remove the daily mental burden of deciding what to eat. It combines decision support, action tools, and long-term behavior insight in one product.
Core problem
Most food tools help after the decision, not at the moment of friction
Recipe apps help people cook. Delivery apps help people order. Nutrition trackers log behavior after the fact. PikaNini starts earlier, at the real moment when the user still does not know the smartest next move.
Positioning
PikaNini helps you decide, compare, act, and learn
The platform helps users answer three connected questions: what should I eat right now, should I cook it or buy it, and what do my food patterns say about my habits, budget, and variety?
Main use cases
Built around realistic user intent.
I do not know what to eat right now.
I want something cheap within my current budget.
I have ingredients at home and want to know what I can cook.
I want to compare whether it is cheaper or faster to cook or buy.
I saw a dish somewhere and want to identify it, learn more about it, or recreate it.
I want the app to understand my food habits and show me useful trends and insights.
Core features
Everything the product needs to support the decision.
Decision Engine
Evaluates context and recommends what the user should do next instead of simply listing meals.
Cook vs Buy Comparison
Shows cook and buy outcomes side by side across cost, time, effort, and convenience.
Ingredient-to-Meal Assistant
Turns typed or scanned ingredients into meal suggestions, substitutions, and missing-item guidance.
Food Recognition
Identifies dishes or drinks from scanning and connects them to recipes, ingredients, and comparison results.
Guided Cooking Mode
Moves from suggestion into action with steps, timers, and simpler instructions matched to skill level.
Nearby Discovery
Surfaces food sources, kiosks, vendors, and restaurants that fit the user's budget, time, and preference.
Unified user experience
Home -> Context -> Results -> Action
The experience is screen-based and simple. Home is the entry point. Context captures a few practical inputs. Results compares cook and buy paths. Cooking and Vendor screens execute the chosen next step. Scan is an optional shortcut, and Insights shows long-term patterns.
01
Home Screen
Entry point for all actions.
The user chooses Cook Something, Eat Out or Order, Help Me Decide, or Scan as an optional shortcut.
02
Context Screen
Capture decision inputs quickly.
The user sets budget, time, effort, and optional number of people before continuing to results.
03
Decision Results Screen
Show the best cook and buy options.
PikaNini displays both paths, adds a comparison insight, and helps the user choose with confidence.
04
Cooking or Vendor Screen
Execute the chosen path.
Cooking mode provides steps and timers, while the vendor screen shows price, time, and nearby options.
Tracking and intelligence
The app learns from food behavior over time.
Meals viewed, saved, cooked, or bought
Cook-versus-buy choices over time
Estimated meal cost and spending patterns
Repeated meals and food group patterns
Meal timing behavior across the day
Ingredients scanned or entered
User goals like saving money, reducing takeout, or eating more variety
Insight dashboard
From raw logs to practical recommendations.
Diet similarity
Measure how repetitive a user's food choices are over a week or month, based on ingredients, cuisines, meal types, and nutrient profile.
Diet variety score
Track diversity across proteins, vegetables, fruits, carbs, drinks, snacks, and cooking styles.
Cook vs buy behavior
Show how often the user cooks versus buys, where the money goes, and where savings may be possible.
Budget and spend analysis
Estimate average cost per meal, weekly spend, monthly trend, and possible savings from cooking more often.
Generated summaries
Produce plain-language weekly and monthly recaps with practical recommendations for the next period.
Recommendation engine
Suggest cheaper, quicker, higher-variety, or more balanced next options based on the user's observed patterns.
Everyday value
Made to help with real everyday food decisions.
Spend less time wondering what to eat.
Compare cooking and buying before you spend money.
Use ingredients you already have at home.
Discover meals and drinks that fit your budget and time.
Made for local habits
Useful for the foods, prices, and places people actually use.
Find suggestions that feel familiar and practical for Kenyan and broader African food contexts.
Get more realistic ingredient swaps and budget ranges.
Compare nearby vendors, kiosks, hotels, and restaurants more naturally.
See local dishes like ugali, sukuma wiki, githeri, chapati, pilau, and mixed plates treated as normal everyday options.
Download
PikaNini is live on Android — now in early testing.
The Android app is available on Google Play in early access. Join the test to try it before the full public launch. iOS is coming soon.
Android
Google Play
Available now on Google Play in early access testing. Be among the first to try PikaNini before the public launch.
Join Early AccessTest mode
iPhone
App Store
The iOS version is also on the way and will be available in the App Store soon.
Coming soon