Built this over the past few weeks. Core idea: snap a photo of something before you buy it, AI shows how it pairs with your existing closet. Also adding a wardrobe-sharing feature so people can borrow instead of buying for one-time-wear stuff (weddings, interviews).
Zero code written yet — just testing if the landing page converts before I build anything. Be brutal, that's the point.
Quick context — I kept doing this thing where I'd impulse-buy something, get home, and realize it didn't go with anything in my closet. Turns out this is a bigger problem than just me: online apparel return rates are 30-40%, mostly from size/style mismatch, not defects.
So I'm building Atayr — snap a photo of something before you buy it, and it shows you how it pairs with what you already own. Second part: a lot of clothes only get worn once (weddings, interviews, one-off events) — so I'm adding a feature where you can share your wardrobe with trusted friends and borrow instead of buying for those one-time things.
Right now it's just a landing page + waitlist — trying to validate demand before I actually build the app (bootstrapped, so being careful not to build something nobody wants).
Would genuinely appreciate feedback — is this a problem you've run into? What would make you actually use something like this vs. not bother?
atayr.site if you want to see it / join the list.
Curious how teams are handling this after the FREE-AI framework dropped.
When your AI rejects a loan or flags a transaction — can you actually explain why it made that call on that specific customer on that specific date? Or is it just the final decision sitting in a database somewhere?
From what I've seen most teams are either logging nothing, logging just the output, or dumping everything raw and hoping nobody asks questions.
Is this a solved problem that I'm missing or is everyone quietly struggling with it?
Engineers and compliance folks especially — curious what you're actually doing today.
Curious how teams are handling this after the FREE-AI framework dropped.
When your AI rejects a loan or flags a transaction - can you actually explain why it made that call on that specific customer on that specific date? Or is it just the final decision sitting in a database somewhere?
From what I've seen most teams are either logging nothing, logging just the output, or dumping everything raw and hoping nobody asks questions.
Is this a solved problem that I'm missing or is everyone quietly struggling with it?
Engineers and compliance folks especially - curious what you're actually doing today.
I'm exploring an idea where architects and homeowners can describe a house in plain English and get an interactive 3D walkthrough plus 2D floor plans instantly. Does this solve a real problem for you? What would you change or add?
I'm founder of proved.co.in and I have 2+ years of experience looking for role in Java , AI Engineer , Full Stack Engineer.
Open for Remote work Mode and onsite role in India and if Visa sponsorship then any Country is fine.
Built this solo over the past month. Proved replaces resume screening with real proof of work - candidates submit a GitHub repo, live deployment, and documentation. Anti-cheat built in: ask them to add a live feature in the interview. If they can, they wrote it. AI scores resumes against the JD automatically. Recruiter sends assessment in one click. No manual test design ever.
Would genuinely appreciate an up vote if this resonates 👇 🔗 https://www.producthunt.com/products/proved-2
Happy to answer any questions or roast the idea - both welcome.
I have Saas Proved which is a hring platform but here is what i learned.
Coding is very easy as compared to getting the real user to use your site ,
Yeah you have great idea , implemented it well and received appreciation for it but what of those untill you dont have users you actually use this site.
Today I call 10 HR few of them picked up few didnt , few listen few didnt , you are going to have lot of situation like this but dont get demotivated or nervous cause afte few calls I did get few great conversation and reach.
Dont stop now take that extra step and leap of faith.
Here is what i have Proved Hiring anti cheat Hiring