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VibePantry – Photograph your kitchen, get recipes from what you have
Hacker NewsVibePantry – Photograph your kitchen, get recipes from what you have
I was taking pics of my spice rack and fridge putting it into chatGPT for recipes all the time. So I built an app that visually extracts pics of your groceries and lets you choose some options to generate recipes from what you have. It's deliberately not a SaaS. No accounts, no server, no subscription, no tracking. It's a static PWA and bring-your-own-key: you paste your own Anthropic key, it's stored only in your browser (IndexedDB).
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3points
Did not reach leaderboard
Launch Intel predictions
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Product HuntOn track for Day 1 leaderboard · Strong signals: visual, chatgpt · Missing: mac, agents, macos63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas, subscription · Missing: arr, mrr, revenue25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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