EchoPal – I dare you to find a faster way to manage tasks

Hacker News

Hey HN! I built EchoPal out of sheer frustration with my ADHD-addled brain constantly forgetting tasks. After years of struggling with clunky todo apps, I created a voice-driven, AI-powered solution that actually understands how my scattered thoughts work. Here's my challenge to you: I dare you to find a faster way to jot down and manage your tasks. Seriously, try it. The magic of EchoPal is its ability to capture and organize tasks through natural speech. Just talk, and watch the AI handle the rest - creating tasks, setting reminders, and even prepping emails or Slack messages mentioned in your todos. Say "Email the report to Sarah and Slack the team about progress," and boom - tasks created, reminders set, email and Slack drafts ready. No typing, no app-switching, no forgetting. I use EchoPal every day now, and it has really help me clear my mind. It has really improved my productivity as I no longer have to spend extra effort to manually structure my day. It's the app I always dreamed of but never thought could exist. There's a free trial if you want to take on my challenge. If you find a better, faster way to manage tasks, especially for ADHD brains, I'll eat my hat (it's a nice hat, so I'm pretty confident).

Visit product View on Hacker NewsSep 28, 2024

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

92%92% 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: created · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

67%67% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, adhd, ide · Missing: https docs, excited, just released

56%56% 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

32%32% 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

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

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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