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Notability - Note-taking chatbot that knows where to put your notes

Hacker News

Notability - Note-taking chatbot that knows where to put your notes

Hi HN, Igor here, I've built this thing last night. I've been obsessed with note-taking for a while, using Evernote for over 10 years, then moved to Notion. My ongoing frustration was that when you have a thought to capture, the last thing you want is to spend time navigating the note-taking app's UI. I just want to write it! This is especially painful on spotty connections on mobile. So about a year ago I've built a Telegram bot that saves notes in Notion. All into one page, which is obviously a problem - it is now enormous. But to my surprise, I completely stopped using Evernote and Notion apps to write things down. It's easier to search later than to struggle with the app in the moment of writing. Indeed, chat apps are built for frictionless writing on the go - unlike apps like Notion and Evernote. Also, as a team we tend to capture meeting notes, retrospectives and other points in Slack rather than in Notion. Some critical distilled bits still go to Notion but Slack is so much easier. But one thing was missing - the UI to "route" the notes. I thought of something like inline buttons in the chat, or maybe a separate chat-like app that would have categories or some sort of a "tree-like" navigation after you enter the note. This seemed like a rabbit whole, there was no right way in sight. And then over the weekend it clicked - the right UI is _no UI_. Note routing should be automatic! It is possible to tell what the note is about from its content, even without LLMs, but with things like ChatGPT that's just trivial. So, last night I've replaced the single-page logic with a page selector that picks the right page based on note's content. Now I'm thinking what it can also be used for and it's starting to look kind of crazy. What if something like this ends up with a "knowledge routing" layer? You just throw ideas, links, screenshots to it and it makes it readily available for everyone in your organisation. Different input sources (Slack, Teams) and more destinations eg Confluence. Also the matching right now only uses subpage titles - but it could use all of the notes to make matching 100% precise. Anyways - what do you all think? Give it a try!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, apps, chatgpt · Missing: mac, agents, macos
96%96% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting
87%87% 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
47%47% 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: apps, way, para · Missing: mobile apps, ios, personal
45%45% 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
23%23% 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
14%14% 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
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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