Sip Savvy

Find Hidden Gems on Any Wine List

88 followers

Stop panic-ordering the second cheapest bottle. 🍷 Sip Savvy is your pocket sommelier that instantly analyzes restaurant wine lists to find the best value bottles. How it works: 📸 Snap a photo • 🧠 AI cross-references retail prices • ✅ See "Value Scores" to spot gems and avoid markups. Features: Smart OCR on any menu • Real markup analysis per bottle • Personalized recommendations. Drink better. Spend smarter. Dine with confidence.
Sip Savvy gallery image
Sip Savvy gallery image
Sip Savvy gallery image
Sip Savvy gallery image
Sip Savvy gallery image
Sip Savvy gallery image
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Launch tags:WineDrinkingDining
Launch Team / Built With
Wispr Flow: Dictation That Works Everywhere
Wispr Flow: Dictation That Works Everywhere
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What do you think? …

Taylor Robinette

👋 Hi Product Hunt!

I’m Taylor. After 10+ years as a product engineer in tech, I’m used to optimizing everything. But whenever I went out to dinner, I found myself stuck with two terrible options when the wine list arrived:

  1. Blindly trust the waiter: Which usually meant getting recommended a "house favorite" that was actually a mediocre bottle with a 400% markup.

  2. Do the manual labor: Spend the first 15 minutes of the meal ignoring my date/friends while I furiously Googled individual bottles under the table to check ratings and MSRP.

I wanted a third option. I wanted the data without the homework.

So, I built Sip Savvy with my friend @luke_mulcahy.

We didn't want another app that scans labels (useless until you order). We built an OCR engine that reads the menu.

How it solves the dilemma:

  • Snap: Take a photo of the list.

  • Analyze: We cross-reference menu prices against real-world retail data instantly.

  • Decide: We highlight the "Hidden Gems"—bottles with great ratings and fair pricing—so you can order confidently in seconds, not minutes.

We’d love your feedback on:

  • The Scan Accuracy: Try it on a photo of a menu from your camera roll.

  • The "Value Score": Does knowing the markup change what you would order?

@luke_mulcahy and I will be here all day answering questions. Can’t wait to hear what you think! 🍷

Anton Loss

"Stop panic-ordering the second cheapest bottle." - haha, was just about to write a joke about that when realised you already have that as part of your description. 😄

Does your app also matches food with wine?

Taylor Robinette
@avloss 🤣 funny because it’s true! Then I always have buyer remorse when I see it’s a $20 bottle that I just paid $60 for… The descriptions of each wine we use Gemini to add which types of food it may go well with, but we’ve discussed how to match actual menu items with the wine list. If it’s requested enough we will add the feature!
SuperchargeBrowser

The 'furiously Googling under the table' visual is so relatable. 😂

Love that you focused on OCR for the menu rather than just scanning labels—that's the real friction point before ordering. Congrats on the launch, Taylor!

Taylor Robinette
@superchargeext thanks so much! Appreciate the support.
Marina

This is actually really lovely =) I’d 100% keep this on my phone as a go-to when I’m staring at a wine list and feeling lost

Taylor Robinette
@marina_sysoeva thanks Marina! Let me know if you have any feedback or things we can improve.
Peter van Doorn

Cool app @tayrob5 will definetly give it a spin this christmas.

All the best this launch! Just don't go too hard as I see you're only 4 places behind my own launch 😱

Taylor Robinette
@peter_van_doorn thank you! Congrats on your launch as well.
Peter van Doorn

@tayrob5 all good! Hope you make it to the top 10!

Jay Dev

Wow, Sip Savvy is exactly what I need! Love the markup analysis feature. Does the AI account for vintage variations when calculating the value score? Super cool product!

Taylor Robinette
@jaydev13 yes! The value is based on the MSRP of the specific vintage that is showing on the menu. V2 will also have a fall back option to a wine average if the vintage MSRP/current retail price is way higher than the average.
Abdul Rehman
I want to love this but I’m skeptical about the accuracy. There are like a million different wines out there, prices vary wildly between retailers and regions, and every restaurant formats their menus differently - some just say ‘Bordeaux’ without the vintage or producer. How are you actually pulling reliable pricing data and matching it correctly? Seems like there’s a lot of room for error here.
Taylor Robinette
@abod_rehman Yes! This was a tricky problem. We ended up having to hardcode some logic and think like a human would. For instance, if it’s a reserve wine and there isn’t the word reserve on the menu, then it’s probably not the reserve. Also, what is most likely based on popularity and price point. At or slightly under MSRP happens and is fun to find, but likely it’s not going to be 20% of MSRP etc. Still lots of work to go, but we got it to a point where it’s right more than it is wrong for now. Will continue to try to improve it!