PennyMeal – AI-Powered Meal Planner with Real-Time Grocery Prices

Hacker News

Hey HN! I’ve been working on PennyMeal, an AI-driven meal planner that tackles two big hassles: sticking to specific nutrition goals (like hitting exact macros) and staying within a grocery budget—using real-time prices from nearby stores. Why I Built It I’m someone who geeks out over nutrition and saving money, but every time I tried to manually plan meals, I’d miss out on store discounts or forget to track certain macros. So I created PennyMeal to automate all that, and it’s grown into a pretty comprehensive tool. Key Features AI-Powered Meal Planning: Enter your daily protein, carb, and fat targets, and it suggests meals that fit those macros. Real-Time Grocery Prices: Pulls pricing data from local stores (coverage can vary, still improving!) so you can see exactly how much each ingredient will cost. Weekly Ads & Discounts: Tries to incorporate current deals and promotions when building your grocery list to keep you under budget. Exact Grocery Items: Tells you precisely which products to buy based on your meal plan and where they’re cheapest. Pantry Management: Keeps track of what you already have to avoid waste and double-buys. How It Works AI Engine: Looks at your macro constraints, budget, location-based prices, and weekly ads. Recipe Matching: Each meal has a detailed nutritional breakdown—perfect for anyone who wants to keep tabs on everything from protein to fiber. Stack: React/TypeScript on the front end, Node/Express on the back end, plus data from various store APIs and a discount aggregator. You can browse and generate plans without an account (to make it easy to try). If you want to save plans or tweak them, a simple login is required. Feedback Welcome! I’d love to know: Do you find the AI suggestions helpful for hitting specific macros? Are the real-time prices/discounts accurate or missing anything in your area? What else would you want from an AI meal planner? I’m here to answer questions, so fire away. Thanks for checking out PennyMeal, and I hope it makes your meal planning less stressful—and a bit more wallet-friendly!

Visit product View on Hacker NewsDec 21, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, using, apis · Missing: agents, macos, agent

41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus, friendly · Missing: platform, intuitive, reviews

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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