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Could you please check out my social media website/mobile app?

Hacker News

Could you please check out my social media website/mobile app?

Greetings, I would like to know why or why you wouldn't use Brainbustle.com It is for those who hate social media as much as those who like it. We are all aware of the industries shortcoming and missed opportunities and this is an attempt to rectify that for those interested. We have gone about it attempting to do every single aspect with the best of intentions. I am interested to see what people value most/least since there are lot of subtle features with various uses. Of course I want to know of any bugs. It's quite hard to find them on my own. It is available on mobile as well https://play.google.com/store/apps/details?id=com.brainbustl... This goes directly to the info page https://brainbustle.com/how-it-works I need folks to specifically vote on posts and create a few of their own. I would like you to subscribe if possible, three lower tiers are FREE, no skin off your bum. I would like you to check out both the PC and mobile app if possible, only big difference there is you have more choices crafting notes. If you know communities that would love the app that would be peachy. Thanks again.

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Actual performance

2points
2comments
Did not reach leaderboard

Launch Intel predictions

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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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, single · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, google · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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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