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I Built Dead Simple AI Productivity Tool

Hacker News

I Built Dead Simple AI Productivity Tool

Hi everyone, I’m excited to share Artifise! a simple, AI-powered productivity tool designed to help users streamline their tasks with minimal complexity. After being frustrated with bloated productivity apps, I wanted to create something clean, intuitive, and efficient. Key Features: •AI-Generated Task Management: Effortlessly break down your goals into actionable tasks. •Simple Checklists: Keep your workflow uncluttered with basic yet powerful checklists. •Focus on What Matters: No unnecessary bells and whistles—just a tool to boost productivity. I’d love feedback, especially on how I can further simplify the experience or add genuinely useful features. Thanks!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
86%86% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, tasks · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: intuitive, efficient, users · Missing: plus, platform, reviews
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, users · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist
21%21% 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 · Missing: arr, mrr, revenue
16%16% 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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