My

My first side project. A Note Management Alternative

Hacker News

My first side project. A Note Management Alternative

Many times, we have some information that we want to dump quickly, for short term use (i.e. TODOs). Other times, we have structured information that we know we won't use often, but we need to save anyway for later access (i.e. code snippets, connection information, cheat sheets ...) justnotes.cc solves that issue. I was tired of using messy desktop sticky notes. And most online software is clunky and uses the infamous tree structure. All of them make it hard to quickly create base structures such as tables and columns. I wanted something HTML based, clean with the ability to quickly search for information. I hope you find a use for it! What do you think about it? Comments and suggestions will really help me at this stage. Thanks! http://justnotes.cc

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Actual performance

3points
5comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, notes, code · Missing: mac, agents, macos
79%79% 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
54%54% 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
45%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, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
31%31% 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
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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