Snapbio – Create beautiful bio links in seconds

Hacker News

Hi HN! I'm excited to share Snapbio, a tool I've built to simplify the creation of bio links for social media profiles. --- What is Snapbio? Snapbio is a user-friendly platform that allows you to create a single, customizable link containing all your important links and content. It's designed for creators, professionals, and anyone looking to maximize their online presence. --- Key Features: - Quick setup: Create your bio link in under a minute - Customizable design: Choose from various themes or create your own - Analytics: Just total page views (current feature) - Mobile-responsive: Looks great on all devices - No coding required: User-friendly interface for all skill levels --- Why I built it: As an indie maker, I noticed the growing need for a simple yet powerful bio link tool. Existing solutions were either too complex or lacked customization options. Snapbio aims to bridge this gap. --- Tech Stack: Built with Next.js 14, Tailwind CSS, shadcn/ui, Supabase. --- Future Plans: - Introducing more integrations with popular platforms - Implementing AI-powered link suggestions - Expanding analytics capabilities - More and more powerful features --- I'd love to hear your thoughts and feedback. Feel free to try it out and let me know what you think! Website: https://snapbio.me Demo Video: https://app.supademo.com/demo/cm08twxnu0wqw128vymg983vh Thank you for your time, and I'm looking forward to your comments!

Visit product View on Hacker NewsAug 25, 2024

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, single, coding · Missing: mac, agents, macos

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AppSumoStrong fit for a featured deal · Strong signals: platform, friendly, interface · Missing: plus, intuitive, reviews

62%62% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

8%8% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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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