I built a domain name marketplace for folks (like me) who hoard domains

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Problem: I (accidentally) hoard domains :') 1. I get excited about a new project 2. I buy a domain 3. I get busy, and the domain collects a thick layer of dust I know I'm not alone in this, either So, I had the idea of creating a simple and casual marketplace for folks like me to list their domains at a fair price with a nice community feel to free up these caged domains It felt like a great project for me to pick up some new skills, so I got to it All up, it took me about a month, and I built the whole thing live on Twitch I've always sat on the design, marketing and front-end side of the fence, so this was my first attempt at making a 'full' web app Here's the stack I used: - SvelteKit ( https://kit.svelte.dev/ ) - Supabase ( https://supabase.com/ ) - Resend ( https://resend.com/ ) - ShadCN Svelte ( https://www.shadcn-svelte.com/ ) It was super fun to build, and as a beginner, I learnt so much I leaned on AI quite heavily to help advance my speed of groking certain concepts within both SvelteKit & Supabase, and I blogged about the experience and my learnings here: https://aroreretini.dev/projects/dwarf/ Any feedback/criticism very much welcome, I've got a lot to learn :)

Visit product View on Hacker NewsNov 26, 2023

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

83%83% 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.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide · Missing: https docs, just released, exist

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

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: new, grok · Missing: mac, agents, macos

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

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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% 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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