EasySpk: an AI voice keyboard on the App Store in 2 weeks

EasySpk: the launch decision

Problem and constraints

The client wanted an AI voice keyboard on the App Store fast. There was no name, brand or code yet, and new Apple and Stripe accounts take time to approve.

Chosen response

We joined as a fractional tech co-founder, shipped the first release in 2 weeks on our own Apple developer and Stripe accounts, then moved to 1-week sprints.

Delivered capability

The name, brand and illustrations, the app and landing page design, the iPhone keyboard and a fast, low-cost LLM setup.

Outcome in context

EasySpk got 1,000+ downloads in its first days, and processing time fell from up to 3 s to up to 1 s. These numbers describe this project, not a promise for another product.

Your next decision

Decide what the first release must do, what can wait for weekly sprints and whose store and payment accounts you launch on.

Estimate your first release

Description

EasySpk is a voice keyboard for iPhone. You tap the mic, talk the way you normally do, and it types clean, ready-to-send text in any app: iMessage, WhatsApp, Gmail, Slack and others. It drops filler words, fixes grammar and punctuation, and can rewrite or translate text on a voice command.

Mobile

iOS app with a custom keyboard

AI

Non-standard LLM setup with a high tokens-per-second rate

Launch

Rocketech Apple developer and Stripe accounts

Our role and company services

Naming, Branding, Illustrations, UI/UX Design, iOS Development, LLM Integration, QA, Project Management

The challenge

The client came to us with the idea for a voice keyboard. The name, brand, design and code didn't exist yet. Speed was the core of the product: people use a voice keyboard to save time, so the AI had to answer fast, cost little per request and still write well.

The client's own Apple developer and Stripe accounts also still needed approval, and waiting for it would have pushed the launch back.

Project management

We worked as the client's fractional tech co-founder and covered the whole path from naming to the App Store release.

The first release took 2 weeks. After that we switched to 1-week sprints: polishing screens, reworking and speeding up flows, adding features and testing new growth ideas.

The Rocketech team:

Product Manager
Product Designer
iOS Developer
Backend and LLM Engineer
QA Engineer

Name, brand and design

We picked the name EasySpk, drew the logo and the illustrations, and chose the fonts and colors: cream and black, with warm orange for accents.

The app and the landing page use the same style. The landing page shows the keyboard in an animated demo, lists the features and plans, and sends people to the App Store.

Brand elements: logo, app icon, fonts, illustrations and colors

The EasySpk landing page

Key features

EasySpk works as the iPhone keyboard in any app. The user taps the mic, speaks and gets clean text right in the message field.

Speech to clean text

No filler words: "um", "uh", "like" and repeated words are removed.
Grammar and punctuation: fixed on the fly, with commas and periods placed by pauses and tone.
Numbers and dates: spoken numbers turn into digits.

Voice commands

Commands inside dictation: "reply formally", "make it shorter" or "translate to Spanish".
Clipboard: copy any text, tap the clipboard button and say what to do with it, for example translate, rewrite or summarize.
Translation: speak in one language and send the text in another.

Personal settings

Snippets: a trigger word inserts an address, a signature or a link.
Rules: standing instructions the AI always follows, like "keep replies under 3 sentences".
Styles: the user's own tone, casual or formal, so messages sound like them.
Knowledge base: names, projects and company details the AI keeps in mind.

Plans

Free and Pro: 5 free requests a day and a 14-day Pro trial, then a monthly or yearly subscription.

A fast and cheap AI setup

We picked the LLM setup for response time and cost per request. It's a non-standard setup that generates text at a very high rate of tokens per second and keeps each request cheap.

At the start, processing took up to 3 seconds. Now it takes up to 1 second, and a plain transcription comes back in about half a second. The client keeps the stack private, so we don't name the models or vendors.

Numbers

2: weeks from zero to the first App Store release

1,000+: downloads in the first days

1 s: or less to process speech, down from up to 3 s

0.5 s: for a plain transcription

1: week per sprint after launch

Results

Launched on the App Store 2 weeks after the start, with the name, brand, app and landing page all made from scratch.

1,000+ downloads in the first days after release.

Speech processing went from up to 3 seconds to up to 1 second. A plain transcription takes about half a second.

The app went live on our Apple developer and Stripe accounts, so the client didn't wait for their own approvals.

After launch, 1-week sprints: interface polish, faster flows, new features and growth tests.

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