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I Made a UI/UX Enhancement for Notion

Hacker News

I Made a UI/UX Enhancement for Notion

This a browser extension to enhance the UI/UX experience for Notion.so. https://notionpower.app/ For months, Notion has been my go-to for organizing my life. But I soon encountered a recurring annoyance: the lack of a fixed table of contents (TOC). This constant scrolling to navigate became a real pain point. As I delved deeper into Notion, other frustrations arose: - The distracting horizontal scrollbar in board view. - Limited text size control (only shrinking, no enlargement). - Difficulty closing the AI assistant popup. - … Inspired to address these issues, I developed Notion Power, a browser extension packed with over 20 features to streamline your workflow and boost productivity. I’m selling this extension to sustain my development efforts. I'm eager to hear your feedback and suggestions! Thanks.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
67%67% predicted probability of success on Indie Hackers, 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 · Strong signals: month · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: recurring · Missing: arr, mrr, revenue
21%21% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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