Supersaas, a Nuxt 3 fullstack SaaS starter kit

Hacker News

A fast, modern, and easy to use Nuxt 3 starter kit. Made for people who want to build fast Authentication - Email/Password, OTP, Magic Link, Passkeys, Social Logins Stripe & Lemonsqueezy payments - Unified payment hook usePayment File storage - S3, Local files, Nuxthub R2 Database - Turso, Postgres, Cloudflare D1, Drizzle ORM Emails Works on the Edge - Cloudflare workers, Nuxthub, vercel I had actually built a bare minimum version of Supersaas a couple of months ago, dog fooded it with my clients products and I learned what it lacked. Rewrote it again from scratch and made several improvements, now its feature packed and I have literally a lot of time trying to make this as easy as possible to start new projects. I talked to users on how to improve it and added lemonsqueezy support, made it nuxthub ready and I even went ahead and purchased a bunch of boilerplates to understand what they lacked, most of those templates tried too hard and made it too complex to understand, which kinda makes me proud of how simple I made mine No trpc, just plain old rest apis with a solid foundation and architecture which I have learned working at multiple companies over the years.

Visit product View on Hacker NewsAug 12, 2024

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Actual performance

5points

Did not reach leaderboard

Launch Intel predictions

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

93%93% 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 HuntOn track for Day 1 leaderboard · Strong signals: user, stripe, new · Missing: mac, agents, macos

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · 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, users · Missing: mobile apps, ios, personal

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

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

21%21% 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.

Incorrect prediction on native model

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