A smart new tab for tasks, notes, music, and your calendar in one place

Hacker News

Hey guys, I’ve been working on this side project called Intent that does a few things to help streamline your workflow. The goal was to fix a problem I was facing – constantly switching between apps to manage tasks, notes, calendar events, and even listen to music to stay focused. With this, I’ve brought all those features together in one place to make it easier and more efficient. I wanted to share it with you all to see if it could help anyone facing similar issues. And the best part? It’s completely free! I’ve also got some exciting plans for the future, like: Integrating AI agents to help with work-related research before diving into tasks. Developing mobile apps to bring the experience to your phone. Check it out and let me know what you think! https://maskmanlucifer.github.io/intent-site/

Visit product View on Hacker NewsMar 31, 2025

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

95%95% 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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: mobile apps, apps · Missing: ios, personal, entrepreneurs

65%65% predicted probability of success on TrustMRR, 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

35%35% 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 · Strong signals: efficient · Missing: plus, platform, intuitive

30%30% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · 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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