Fotify – Real-time event photo sharing and RSVPs via QR (no app needed)

Hacker News

Hey HN, I built Fotify, a tool to simplify the chaos around event photos and RSVPs. At most events, guests take amazing photos—but they stay on their phones, or get shared days later in fragmented WhatsApp groups or Google Drives. Invitations and RSVPs are often handled on completely separate tools. Fotify solves that with one simple QR code. Guests scan it → upload photos → they appear live on a photo wall. Meanwhile, organizers manage digital invites and RSVPs from the same dashboard. No app installs, no logins. Some features: Live photo uploads and display during the event AI moderation and full-quality downloads Digital invitations with RSVP tracking Optional photographer tools for uploading and organizing large sets Built with NextJS, NestJS, Cloudflare R2/Images/Workers Would love your feedback on the product, pricing, or anything you think could break. Try it at https://fotify.app AMA – happy to answer technical, product, or growth questions.

Visit product View on Hacker NewsJun 20, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, code · Missing: mac, agents, macos

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google, para · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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