AutoGPT-Social, an autonomous Instagram bot

Hacker News

https://github.com/WillReynolds5/AutoGPT-Social I'm excited to share with you a project I've been working on called AutoGPT-Social! It's an Instagram bot that automatically generates and posts engaging content for your Instagram account using ChatGPT API. The bot gets real-world feedback in the form of likes and comments and uses the data to optimize captions, hashtags, and posting times. The bot's goal is to get as many likes, comments, and followers as possible. Features: Automatically selects images and generates captions w/ hashtags for Instagram posts Gets real-time feedback (number of likes, comments) to optimize posting schedule, captions, and hashtags for maximum views, likes, comments, and follows Set the number of posts per day Automatically finds 100s of relevant hashtags and figures out which are best I hope you find this project useful! Happy posting!

Visit product View on Hacker NewsApr 27, 2023

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

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

46%46% 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 · Missing: plus, platform, intuitive

46%46% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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