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BaselineJS Framework – Build Serverless First

Hacker News

BaselineJS Framework – Build Serverless First

I'm the technical co-founder of Baseline, and I wanted to share our latest creation with you all. After struggling with some limitations of other popular frameworks for our own startup projects, we decided to build something better—Baseline. We've designed our framework to address the specific needs of startups like ours that require scalability, reliability, and ease of use without the hefty overheads. We’re launching as an Open-source product. Baseline is built on AWS and leverages serverless technologies to offer a solution that scales automatically and is cost-effective. With other frameworks, it can be hard to find developers, they aren’t scalable or they require complex infra management, so we made it cloud native, and there is no argument that it is not scalable. This means you can focus more on building your product and less on managing infrastructure. We've put a lot of our soul into creating a tool we wish we had when we started building apps for startups 8 years ago. We'd love to get everyone’s feedback. Thanks for checking it out! Thomas Nixon, Technical Co-Founder at Baseline

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Actual performance

6points
1comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
92%92% 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: apps, open · Missing: mac, agents, macos
89%89% 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, io · Missing: https docs, excited, just released
72%72% 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: apps · Missing: mobile apps, ios, personal
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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.

Incorrect prediction on native model

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