AI-Assisted Scratchpad

Hacker News

Hi Everyone, I’m excited to announce that I just launched my first product as solo maker today. LittleJot, AI-assisted scratchpad. Not a note-taking app but more towards quick idea jotting & discovery. It has in-editor AI, unlimited use. Maybe in the future I will add GenAI options where user can choose and use their own key. Yeah, here it is https://littlejot.com I believe & hope it will benefit some of you too! To celebrate this launch, here is 30% off first month discount code: LITTLEJOT30 also on ProductHunt today: https://www.producthunt.com/posts/littlejot Thank you!

Visit product View on Hacker NewsMay 28, 2024

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

54%54% 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.

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

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% 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

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

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

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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