Bluesky Copilot – AI-powered analytics and post suggestions for Bluesky

Hacker News

I built a free tool that analyzes your Bluesky profile and provides actionable insights to improve engagement. - Shows your best/worst performing posts with engagement metrics - Analyzes sentiment and writing style patterns - Generates AI-powered post suggestions based on your writing style - Provides vocabulary analysis and content type breakdown - Creates shareable analytics dashboards Built this in ~4 hours as a quick experiment to understand their API. No login required, just enter your Bluesky handle. Would love feedback from the HN community, especially on what analytics/insights would be most valuable for Bluesky users.

Visit product View on Hacker NewsNov 29, 2024

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2points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

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best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

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AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released

16%16% 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

14%14% 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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