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Cascade – open-source alternative to paid SaaS boilerplates

Hacker News

Cascade – open-source alternative to paid SaaS boilerplates

Hey! I recently got laid off from my comfy engineering manager job and decided to go full-time indie hacking. I’ve built around 5 side projects in the last 3 years and have much experience in launching and getting sales. However, at this time, I need a way to do it faster as I am bleeding money. It usually took me more than 3-6 weeks from idea to shipping the MVP to the first users as I was busy setting up the typical flows like payments, analytics, error tracking, and whatnot. Usually, when everything was ready, I was not motivated to launch. I built Cascade to solve this problem! The idea is that the whole setup takes as little as 30 minutes, and you are ready to start working on your actual business logic. Most of the tools I chose are battle-tested and are either open-source or self-hostable. On my journey, I will fail at some things and learn some things as well. This will be reflected in the boilerplate to ensure I can save time for other future founders!

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Actual performance

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · 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, open · Missing: mac, agents, macos
77%77% 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 · Missing: https docs, excited, just released
64%64% 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: users, way · Missing: mobile apps, ios, personal
35%35% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive
18%18% predicted probability of success on AppSumo, 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.

Correct prediction on native model

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