Me
MeetCaddy – Automatically save Google Meet chats
Hacker NewsMeetCaddy – Automatically save Google Meet chats
Few days ago, I was searching for a document url that I received from my mentor in google meet. Unable to find that motivates me to solve this problem and I developed a browser extension that automatically saves messages sent in a google meet. Features: - Automatic Chat Capture - Simple Setup - All data stored in your local device storage Feedbacks and criticism are always welcomed...
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1points
Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos69%69% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting69%69% 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: io · Missing: https docs, excited, just released45%45% 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, intuitive39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% 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, cryptocurrency12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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