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https://brewpairassistant.com Wanted to share my BrewPair Assistant App made with replit: AI Food and Drink Pairings for Tea, Coffee, Wine, Beer, and Cocktails
I designed and built BrewPair Assistant to take the guesswork out of pairing food and drinks. Instead of scrolling through generic pairing charts, people search for a dish or a drink and get a pairing suggestion with a plain-language explanation of why it works.
The search is the heart of the product. Each query goes to an AI model that generates the pairing, and every result includes a "Why This Pairing Works" section so users learn something instead of just following a recommendation. Images for each result load in parallel so the results feel quick and visual. The app covers tea, coffee, wine, beer, and cocktails in one place.
Users can save the pairings they like and rate them with stars, building a personal collection of favorites. They can also share pairings with friends and find local tasting events, which turns a quick lookup into something social. (Confirm both of these are live before publishing.)
On the technical side, I built the app on Replit, with the OpenAI API powering the pairing generation. Each search is a single, stateless AI call, which keeps responses fast and costs predictable. I'm now moving the app to Vercel and planning to rebuild the pairing feature as a more agentic experience.
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At CRITER.AI, we’re building AI that helps migrants avoid expensive legal mistakes and visa bans by auditing Australian visa applications against immigration law. We’ve been getting a healthy amount of investor interest, but there was one recurring piece of feedback: our pitch deck was lackluster.
Fair enough. As a lawyer, my creativity usually goes into finding the legal issue everyone else missed, not deciding which shade of blue says “invest now.”
So we set out to change that. We chose Contra over its competitors because the caliber of people looked considerably stronger.
When I posted our request for a pitch-deck redesign, I expected a few people to reach out with quotes. As of today, we have had 303 applicants.
For a bootstrapped business, working through that volume was simply impossible. So we created a challenge:
“Here is my pitch deck. Pick the slide you think needs the most work, and show me what you can do.”
What followed was fascinating.
101 applicants (around 1/3) never replied. Of those who did, around 10% simply reiterated what they had already said. One person replied that, with 250 applicants, they were not going to bother trying. lol.
Several asked whether the test would be paid. 12 sent a quote for the work to be paid first, after which I could decide whether to go further.
Less than 25% of the applications were obviously AI-generated. We are by no means AI-phobic, but the Claude watermark was perhaps a little too much. You know who you are dude!
2 people had trouble opening the Google file we sent. I’m still not entirely sure why.
7 people were so impressed by the work they did that they watermarked it, labelled it “draft,” or otherwise made it impossible to download for further review.
12 people reached out through LinkedIn rather than the app; a further 18 emailed; and 1 person even called me.
18 people not only sent an example slide; they also signed up for our free immigration-advice beta test.
From 303 applicants, we narrowed the field to 15 people who were simply too good to ignore.
Every one of those candidates took the time to understand what we were trying to do, what CRITER.AI is about, and spoke to us as people rather than as another job listing. Two spotted mistakes in the pitch deck that we would not have noticed without them. Another created a 3-minute Loom presentation explaining the changes they made and why they mattered. Most went beyond the requested single slide. One applicant redesigned the entire pitch deck and sent it watermark-free.
It was a difficult decision, but the person we chose had just that little bit more talent than an exceptionally strong group. They not only showed that they understood what we wanted and impressed us with the slide they redesigned; they also suggested another slide we had never considered relevant, then created it using information we had not even provided.
They took our AI immigration-law business and made our pitch deck speak to investors on a human level.
Can't wait to come back to resign our website, social media and other design work.
Lovely and impressive!
Geetings 👋
I'm sharing my first fully AI-first, production-ready platform I built a couple of weeks ago.
Fixr:
Fixr is a reverse-bidding home services marketplace for Kabul.
Homeowners post a job like "the sink is leaking!" with screenshots or a short video, verified experts bid on it specifying their price, job's time and their arrival, and the homeowner choses whom to go with.
I architected the product and built it AI-first with Claude Code: NestJS + Prisma powering the backend, a Next.js admin panel, and a React Native/Expo app for both iOS and Android.
This project ended up being less about writing code line-by-line and more about system design, product decisions, and directing AI tools toward a coherent, shippable product.
A few screens from the app are below. Open to feedback, and happy to talk through any part of the build.
Github public repo: https://github.com/mostafa-meerzad/Fixr-public.git
Github code repo: https://github.com/mostafa-meerzad/Fixr-Platform.git
The reverse-bid flow makes the comparison screen do a lot of work. I'd put the price beside a plain summary of what's included, with the arrival window on the accept button.
Option A