QuickLaunch- a Full-Stack Next.js Boilerplate with Auth for $49

Hacker News

Hi HN, I’m converting my last startup ( https://matherium.com/ ) into a reusable NextJS (React) template/boilerplate ( https://www.notion.so/Quick-Launch-a-Full-Stack-NextJS-Boile... ) so that people (including me) can use it to build MVPs quicker and launch without re-writing code. It started off as a way for me to re-purpose my code. It comes packaged with the following to minimize your dev time: - Authentication using NextAuth including a custom login page - Front-end: landing page, dashboard, 40+ UI components 20+ UI themes, guide to build your own theme using the theme generator - Back-end: Supabase, Stripe, Next.js (/app and /page router options), Ready to host on Vercel - Guide: guide on how to set up your website from scratch, copy paste your content and launch your startup - Info: Helpful info including vetted free tools for Logo generation and Value Proposition writing, and how to keep your custom email domains out of spam folders (DMARC etc.). This will be a notion page that will stay updated with other information that users tell me they’d like to see. After I launch (July 1st), I’ll give users access to a git repo which they can git clone. The boilerplate and guide (notion page that will stay updated) are yours to keep forever and can be used for as many startups you want. This is perfect for those who know react or next.js and don’t want to spend most of their launch time writing redundant code. I'm gonna put it up for $49 at a 50% pre-release discount. Once you have the boilerplate, you can launch your startup for $0/month using Vercel and Supabase’s free tiers. As you grow, you would want to switch to their paid plans. If you have any questions or feedback on what should be added to the project or guide, let me know in the comments or email me at sid at matherium dot com

Visit product View on Hacker NewsJun 13, 2024

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

94%94% 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, email · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: month, users, way · 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 · Strong signals: host, users · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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