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I'm Creating the Next Big Social Media Platform – Rated

Hacker News

I'm Creating the Next Big Social Media Platform – Rated

Hey all, I've been working hard on my side project and will be trying to turn it into my main project now. Rated is a social rating platform for media, places and products. By having everything in one place, its easier to add friends, follow and compare ratings. There are cool data features like similarity scores between each users and predicted ratings for every item. The main aim is to help people discover the best content in a fun and social way. I've made a website (not that pretty yet) and launched on the app stores, but there's a long way to go. Still haven't properly validated the idea and need to get some users. I would love feedback on the idea, landing page and if you are interested in trying it out - feedback on the app itself.

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Actual performance

5points
15comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
77%77% 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 · Missing: mac, agents, macos
62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users, way · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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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