A simple Next.js waitlist template with Notion as CMS

Hacker News

Hey everyone!! I just finished working on a new waitlist template using Next.js 14 and Notion as a CMS, and I thought it’d be cool to share it with everyone here! The idea is simple: manage your waitlist users directly from Notion. No need to set up a complicated backend! Plus, I’ve added Upstash Redis for rate limiting and Resend for sending emails, with a clean UI built using shadcn/ui, Magic UI, and Tailwind CSS. If you’re building something new or just experimenting, this template could be a handy starting point. You can check out the demo here: https://nextjs-notion-waitlist.vercel.app Github Repo: https://github.com/lakshaybhushan/nextjs-notion-waitlist-tem... Would love to know what you think or help out if you have any questions!!

Visit product View on Hacker NewsAug 25, 2024

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Actual performance

4points

3comments

Did not reach leaderboard

Launch Intel predictions

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

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

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

AppSumoMay struggle as an AppSumo deal · Strong signals: plus, users · Missing: platform, intuitive, reviews

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

25%25% 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

14%14% 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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