Turning Ideas Into Action

Today's featured startup is building the note-taking app of the future.

Project Overview

Epiphany is designed to be “the fastest way not only to record your ideas but also to turn them into action.” Unlike traditional note-taking apps, which fall into two main categories, Epiphany takes a step further.

The first type of apps simply converts voice into text, allowing users to dictate ideas as they come. However, these apps require users to sift through their notes later and manually decide what to do next. If no action follows, the notes often go unused.

The second type integrates AI to process notes and extract tasks, automatically sending them to a to-do list or task tracker. But even with a task list in place, completing those tasks remains a challenge.

Epiphany addresses this issue by automating action execution. Its AI doesn’t just transcribe notes and create task lists—it also performs tasks where possible.

For now, Epiphany can handle simple actions through third-party integrations, such as:
✅ Sending messages via email or messenger
✅ Assigning tasks to team members in a CRM
✅ Creating notes in Notion, and more

Although the number of integrations is currently limited, the creators are actively expanding them.

Pricing: $14/month or $79/year.
Epiphany was recently launched and gained attention following a feature on Product Hunt.

What’s the Gist?

While many apps focus on voice-to-text, Epiphany is pioneering a new category: voice-to-action.

This emerging field is gaining traction as AI advances in two key areas:
Accurate voice recognition—AI can now transcribe speech with high precision.
AI-powered automation—reducing the need for manual interactions with apps.

This shift has led to varied AI-driven services across industries.

For example, Donna helps sales professionals who are constantly on the move. The app allows them to:

• Refresh client details before meetings.

• Dictate meeting summaries while en route to their next appointment.

Donna’s AI extracts key points, logs them into a CRM, and even asks follow-up questions if critical details are missing.

Similarly, Boardy (another reviewed startup) uses AI-powered voice interaction to match professionals. Users introduce themselves to an AI assistant, which then finds and suggests like-minded contacts from its database.

Boardy’s AI even secured $8M in funding—after a venture capitalist tested it, loved it, and convinced his firm to invest over a single weekend!

What unites these voice-to-action services?

They don’t just follow voice commands like “open this app” or “click that button”. Instead, users simply describe what they need, and the AI decides which tools to use and what actions to take.

Key Takeaways

As I mentioned earlier, the voice-to-action category is a relatively new thing. The most promising direction for innovation in this space seems to be creating services that can transform voice commands directly into actions.

There are many potential approaches to this concept. The best way to identify a promising application is to reflect on what would be personally useful to you.

What kinds of notes do you typically make? Which of these could be automatically converted into actions? Consider tasks you can quickly conceptualize but then spend considerable time navigating through various applications and clicking multiple buttons to complete. Is it possible to automate the process of turning these concepts into a seamless sequence of executable actions?

In fact, we can already start pushing the voice-to-action category to its next evolution: "voice-to-result". Just as notes are a preliminary step to taking action, actions themselves are merely an intermediate stage towards achieving a desired outcome.

Let's take an example: you're using an application and notice something that needs improvement. The first level is verbally recording your observations to later draft a task for a programmer. The second level involves an AI system automatically converting these observations into a technical specification and adding it to the programmer's task list. The third level is when the AI can independently program the changes, implement them in the application, conduct A/B testing to verify improvement, and then simply report the results back to you.

This is just an example, but it reveals the potential future of such services. These types of AI-driven solutions are genuinely revolutionary.

Company info:

Epiphany

• Website: https://epiphanyvoice.io/

• Featured on Product Hunt: March 20, 2025