Launch Intel
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Notably, a markdown notes app

Hacker News

Notably, a markdown notes app

Hi I am currently trying to validate a new notes app, which I launched this week: https://notably.cc Notably is a markdown notes app that I built as I couldn't find one that I liked out there already. It aims to keep the process as distraction-free as possible and allows you to search for old posts very quickly This is still an MVP - the current feature set is limited, but I'm planning to add more functionality to it over the coming weeks, such as: - Integrations with IFTTT/Zapier - Note categorization/tags - Team/collaborative notes I built this app primarily for myself, but I'm keen to see if anybody else finds it useful and would consider using it too Thanks for looking, Chris

Visit productView on Hacker NewsNov 29, 2018
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Actual performance

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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, notes · Missing: mac, agents, macos
81%81% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% 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
37%37% 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
37%37% 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
36%36% 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
20%20% 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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