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Really Simple Notes

Hacker News

Really Simple Notes

I made Really Simple Notes after getting frustrated with other note-taking apps. I found that I was spending more time formatting my notes than writing them. I like the sidebar navigation that Coda provides, but I hate how slow Coda is. I like how fast Google Docs is, but I don't like knowing that all my data goes to their servers; who knows what they are doing with my data? That's when I decided to create Really Simple Notes. It's an offline-only, no-formatting notes app with a sidebar to navigate notes. I've found that as I use it for personal notes, my productivity has increased significantly. I'm no longer fretting over formatting or waiting for things to load. I'm just writing notes. The app is totally free, so I hope you'll give it a try!

Visit productView on Hacker NewsDec 18, 2022
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Actual performance

6points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, notes · Missing: mac, agents, macos
78%78% 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
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: personal, apps, google · Missing: mobile apps, ios, entrepreneurs
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% 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
17%17% 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.

Incorrect prediction on native model

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