Ayojan
Deliver event photos directly to guests instantly using AI.
Ayojan launched on May 31, 2026 with 5 votes, #2,008 of 20,538 launches that month and more than 75% of that year's launches.
What it does
Ayojan elevates event photography with AI. We use facial recognition to instantly match and deliver high-quality event photos directly to your guests' phones. Stop making guests wait weeks for a gallery link.
Deliver event photos instantly via WhatsApp using AI face recognition. Guests scan a QR code, snap a selfie, and get their photos in seconds.
Guests take a selfie. Our AI finds their photos. We send them directly to their WhatsApp. It's that simple. Drag and drop your JPEGs after a shoot. Whether it's 500 or 10,000 — we process them all in minutes. Print or display a QR at the venue. Guests scan it, take a quick selfie, and enter their WhatsApp number. Our AI matches the selfie against all event photos and sends the matched gallery straight to their WhatsApp. Dimly lit dance floors, crowded group shots, guests wearing sunglasses — our AI handles it all. It maps every face across every photo in your event album and matches them to the right person. Your guests don't download anything. No sign-ups, no app stores. They scan a QR,…from ayojan.co
Does a similar job
all alternatives →


Kamero.ai: AI Event Photo Sharing Feb 2026 · ▲3Real-time AI Face Recognition & Instant Camera - Cloud Sync

More work this month
the category →
Endless lofi beats composed live in your browser, over pixel-art nights in Paris, Tokyo, New York, Hong Kong, Sydney, San Francisco and more. Free, no sign-up.
Work · 24d ago · loficities.com
Smooth Recorder▲257Mac screen recordings that look edited when you hit stop
Work · 18d ago · smoothrecorder.com


Work · 12d ago · readrare.com
Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com