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Serverless SaaS

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Serverless SaaS

Finally, Serverless SaaS goes live! Serverless SaaS is a boilerplate that will give you a great starting point for your next React app to build SaaS applications. For the last couple of months, I have been working hard to implement features like authentication, billing, teams, and a lot more. And now it's time to start early access. If you are interested you can be one of the first to work with this starter-kit and save lots of time building your next (SaaS) application. In the upcoming days, you can still get it with a 50% discount! Just visit https://serverless.page/ to find all the information you need. If you have any questions or feedback please let me know.

Visit productView on Hacker NewsNov 5, 2020
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Actual performance

4points
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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
62%62% 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
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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
24%24% 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
19%19% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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