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Multi-tenant SaaS starter kit with custom domains

Hacker News

Multi-tenant SaaS starter kit with custom domains

Hello again Hacker News! Incredibly excited to be launching Platforms Starter Kit 2.0 on here. For context: Multi-tenant applications serve multiple customers across different subdomains/custom domains with a single unified codebase. With the Platforms Starter Kit, you can offer unlimited custom domains at no extra cost to your customers as a premium feature, without having to worry about custom nameservers or configuring SSL certificates. Ever since we launched the first version of this starter kit a year ago, we've seen many platforms scale to hundreds of thousands of custom domains on Vercel: ◆ Hashnode ◆ Super.so ◆ Incident.io ◆ Mintlify ◆ Dub.sh With the new version – now built with the Next.js 13 App Router – we cannot wait to see what kind of platforms you build with it! Excited to hear your feedback!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% 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: new, context, single · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, hacker news, 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
23%23% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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