Spotify Wrapped but for iMessage

Hacker News

Hellooo HN, long time reader, first time poster. I'm a final year cs undergrad student and this winter break I wanted to make my first real sort of end-to-end software. So I made wyd.chat. It's a imessage analyzer kind thing - just looks at your texts to see who you text the most, when you text them, what you talk about, how many group chats you're in with them, etc etc. I made it for fun but realized that the data kind of shows who I should prioritize in my life vs who I am not giving enough of my attention to. Just super interesting data. Basic analytics is for free and full is for $6 one time. All data is stored locally and I truly have access to nothing. I'm a super baby engineer so any feedback you might have I would be so grateful. Happy new year!

Visit product View on Hacker NewsDec 29, 2022

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

73%73% 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, podcasting

56%56% 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 released

48%48% 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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% 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, 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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