SaaS template/boilerplate w SvelteKit, Tailwind, Supabase and Postgres

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Hi HN, Releasing a new SaaS template/boilerplate built with SvelteKit, Tailwind, Supabase & Postgres. It’s called SaasStarter.work - MIT Open Source: https://github.com/CriticalMoments/CMSaasStarter - Feature Rich: user auth, user dashboard, marketing site, billing/subscriptions, pricing page, blog engine, and more - Very fast: perfect PageSpeed scores, achieved with pre-rendering and pre-compiling. - Extensible: all the tools you need to make additional marketing pages, UI components, admin portals, database backends, API endpoints, etc. - Hosting: Free to host, cheap to scale, easy to manage, automatic deployments I know there are a lot of options out there for starter templates, but I really love working with this tech stack (SvelteKit/Supabase/Postgres). You spend a lot more time working on your SaaS than you do on initial setup. I believe working with the right tools will make you more efficient and happy in the long run, so it was worth it for me to set this up. Suggestions/feedback/contributions are welcome.

Visit product View on Hacker NewsJan 17, 2024

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

91%91% 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, new, open · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

61%61% 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: host, efficient · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

26%26% 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, subscription · Missing: arr, mrr, revenue

25%25% 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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