Connect Google Drive to ChatGPT

Hacker News

Hey hackernews! We just shipped a google drive integration that lets you connect your google drive folder to LLMs like ChatGPT, in three steps: 1. Click a button to authorize Google. This handles the OAuth and redirects with Google drive. 2. Select a folder that you want to sync. 3. Hit the sync button, which uses the googleapiclient library to crawl through the folder, get content from each google doc, and upsert the data into a vectorstore. Demo video here: https://youtu.be/fSDGQ-aj_u0 Try it out and let us know what you think!

Visit product View on Hacker NewsApr 6, 2023

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

84%84% 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 · Strong signals: video, google · Missing: mobile apps, ios, personal

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

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

49%49% 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: ide, io · Missing: https docs, excited, just released

41%41% 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

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

20%20% 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

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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