Profiler – AI that Analyses people's X/Reddit Profiles

Hacker News

Hey HN ! I'm @ybouane, a web developer and indie hacker. I'm excited to share my latest project with you all: Profiler. Profiler is a Free Google Chrome Extension. It seamlessly integrates into Twitter and Reddit, utilizing AI to offer insightful analysis of individuals based on their social media behavior. By scanning a person's profile, it's able to deduce various things like: - Life Interests - Profession - Sentiment Analysis - Political Leanings - Psychological Traits - Gender - Religion - Country of Origin/Ethnicity - Behavioral Patterns Whether you're a marketer, researcher, or just curious, Profiler provides a unique lens to understand people's online personas. I'm eager to hear your feedback and experiences with Profiler. If you want to follow more of my projects, I invite you to follow me and reach out on X: @ybouane

Visit product View on Hacker NewsNov 30, 2023

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Did not reach leaderboard

Launch Intel predictions

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

89%89% 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: google · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

51%51% 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: google · Missing: mobile apps, ios, personal

34%34% 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

33%33% 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

18%18% 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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