Ca

Casa – a place for creators (from artists to programmers)

Hacker News

Casa – a place for creators (from artists to programmers)

Hey everyone, We were once creators that had to quit because it was hard to monetise & grow in the early days. So we've built a platform for creators to create a website and offer direct engagement to their follower base. Here's an example of the profile: www.trycasa.app/dhruv Would be great to get some of you signed up at www.trycasa.app for feedback. This is useful for the following group: -Artists who are looking to monetise their followers -Developers looking to freelance or teach directly to their network. -Sales/Marketing folks looking to help small businesses grow. -3D freelancers that are looking to engage directly with their following or grow it. -Anyone that is trying to become their own business and easily create a platform for themselves.

Visit product View on Hacker NewsAug 24, 2021

Actual performance

3points

4comments

Did not reach leaderboard

Launch Intel predictions

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

79%79% 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 · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

32%32% 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: platform · Missing: plus, intuitive, reviews

20%20% 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

13%13% 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.

Correct prediction on native model

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