InstaNote – take notes like chat

Hacker News

Hi everyone! We are building InstaNote (https://www.instanote.io) to make note taking fast and easy with a familiar interface. Most notes apps are heavyweight and require a lot of overhead to save things and manual organization to manage. They also aren't optimized for things people save often (URLs!). Many users resort to sending themselves emails or messages instead of using these apps. I wanted something extremely simple while supporting the most common needs, so I started building this for myself. The interface is just like chat where you can send a note to yourself. InstaNote supports free form text, lists, images, audio, and custom reminders. It also natively supports shared notes, just like chat rooms. I built this for myself, but have heard from others that they find it useful too. Would love to hear feedback from HN!

Visit product View on Hacker NewsAug 21, 2020

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Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, started · Missing: reddit linkedin, podcasting, created

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best fitHighest predicted score across all platforms for this description.

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

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

62%62% 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: apps, users · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: interface, users · Missing: plus, platform, intuitive

53%53% 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 · Strong signals: chat, audio · Missing: web3, crypto, cryptocurrency

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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