Grocyy helps you turn everyday receipts into powerful insights.
Website: https://grocyy.com/
The pain point of we throw away receipts or forget what we bought. That means we have no idea:

• how much we re really spending on groceries

• what we buy most often

• or when we ll need to restock

Grocyy fixes that.

Just upload a receipt and Grocyy will automatically:

Hi all sharing what I've been building. I'm Karthik, and I ran a performance-marketing agency for years. The most-repeated task was always the same: study competitors' winning ads, then rebuild what's working into on-brand creative for my own brand. It was slow and scattered across ad-spy tools, spreadsheets, designers and AI image tools that don't know your brand.

So I built Klipio to do the whole loop in one place: it learns your brand from your website (products, prices, voice and positioning, with facts cited and guesses flagged), watches your competitors' live Meta ads to surface what's actually winning right now with daily alerts, and then generates a finished, on-brand ad you can download or push straight to your Meta ad account.

Hey Product Hunt community!

I'm Emanuele, the developer behind UluP Spaces.

After months of building, testing, and improving, I finally launched UluP Spaces , a visual collaborative workspace where projects become interactive maps.

The idea behind UluP is simple:

Can your organization currently produce a complete, audit-ready record showing every AI system in use is mapped against EU AI Act requirements? In my research, most cannot and under NIS2 and the AI Act, that gap now carries personal liability implications for named executives, not just the organization.

I'm developing Compliant to address this: a structured inventory of AI systems and vendors, a clear view of what documentation is missing, and an audit trail to support compliance efforts.

Last year, our data pipeline kept failing in ways that made no sense. Requests would work perfectly for hours, then suddenly start returning 403s and CAPTCHAs. We blamed everything our code, our infrastructure, even the time of day. Six months of debugging later, here's what we actually learned.

1. IP freshness matters more than pool size

We assumed a large IP pool meant we were safe. Wrong. We discovered that many providers recycle IPs aggressively the same IPs get reused across customers, and once an IP gets flagged, it stays flagged. A smaller pool of freshly validated IPs consistently outperformed a massive pool of stale ones.

2. Rotation patterns are easy to fingerprint

OrienFrame is an AI portrait studio inspired by classical East Asian visual aesthetics. Upload a portrait, choose a curated style, and create an artwork with a quieter and more intentional visual direction than a typical collection of AI filters.
I built OrienFrame because I felt that many AI portrait products offer a huge number of filters, but very little consistent art direction.

OrienFrame takes the opposite approach. It focuses on a curated visual identity inspired by East Asian aesthetics and presents the experience as a digital portrait studio rather than a general-purpose image generator.

The product currently includes one free generation per day after Google sign-in.

I d especially appreciate feedback on three things:

I ve been testing multiple AI voice agent platforms over the last few months.

Almost all of them claim to be no-code but most still require:

One Product Hunt comment turned into a new feature.

@yavuzwrpt suggested adding a CSV export option to Outbreak Tracker so users could download the data instead of only viewing it online.

It made perfect sense, so I built it.

Most productivity apps focus on adding features, reminders, and to-do lists. I built one that focuses on removing distractions instead. Do you think eliminating distractions is more effective than adding more productivity tools?

try it out here - https://lockindotcom.vercel.app/