One Developer Got Thousands of Users Before His App Launched

Naveen Naidu's Monologue Achieves Early Traction as a Solo AI App

Monologue, an AI voice dictation app built by Naveen Naidu as an Entrepreneur in Residence at Every, quickly gained significant user adoption and revenue. The app garnered thousands of daily active users and $2,000 in monthly recurring revenue even before its public launch.

Naveen, a solo engineer, developed Monologue end-to-end in just a few months. This rapid development and early success allowed him to compete with much larger, venture-backed companies that have raised over $50 million and employ hundreds of people.

The product is noted for its polished nature and stickiness, becoming one of Every's fastest-growing AI applications. Its quick success demonstrates the potential for solo developers to build competitive, production-grade products using AI tools effectively.

He's a single engineer competing with companies that have raised over fifty million dollars and have hundreds of employees.

Monolog Demonstrates Intelligent Dictation for Email Creation

Monolog is a dictation tool that allows users to transcribe speech directly into formatted text using a hotkey for hands-free mode. It automatically processes spoken input, removing filler words and applying corrections.

During a demonstration, Naveen Naidu dictated an email, showcasing Monolog's ability to self-correct. He initially said "8 AM" but immediately changed it to "9 AM," and Monolog accurately reflected the final time in the output. The system also intelligently recognized the recipient's name and formatted it correctly.

A key feature is Monolog's capacity to integrate user-defined instructions. In the email example, it automatically inserted Naveen's calendar availability link because he had previously configured his schedule link within the Monolog settings. This allows for rich, context-aware content generation without manual editing.

The tool aims to streamline content creation by minimizing the need for post-transcription edits. This capability extends beyond emails, suggesting its utility in interacting with large language models and other applications where efficient text input is valuable.

You can just Like write with zero edits.

Naveen Naidu's Strategic Transition from Corporate Employment

Naveen Naidu spent a significant period exploring new ventures after his corporate job, which he describes as a "wilderness" phase. This period followed the release of the ChatGPT API in March 2023, an event he recognized as a major industry shift, prompting his decision to leave his stable role.

Initially lacking full conviction to quit his job outright, Naveen negotiated a unique arrangement with his former boss. He transitioned to working three days a week for his previous company, while dedicating the remaining four days to figuring out his next career move.

This flexible agreement provided him with continued full-time salary and a safety net, allowing him to experiment and search for new opportunities without immediate financial pressure. This structured approach facilitated his journey towards developing a product like Monologue.

Okay, I'm going to work three days a week with you, and rest of the four days, let me figure out what I want to do with my life or like what I want to do next.

Naveen experiences validation from a first paying customer and learns the mistake of not shipping a product

Naveen experienced a pivotal moment when his first solo product, Friday GPT, earned him money from a random stranger. This validation was profound, making him realize he could create value independently. This success inspired him to quit his job, leave Japan, and move back to India to start his own company.

However, after this initial success, Naveen made what he considers one of his biggest mistakes. He spent six months developing an email marketing tool called "Send Wisely," similar to Kit.com. Despite his dedicated effort, he never released the product or showed it to anyone.

This experience taught him a crucial lesson about the "cardinal sin" of not shipping. The product remained unlaunched on his laptop, leading to feelings of shame and demonstrating the importance of releasing work to the public rather than building in isolation.

one of the biggest mistakes I made, during that time is I just worked on one product for six months or something, I didn't even release.

Shipping a ChatGPT Mac App in One Week and Reaching $5K Monthly Revenue

Naveen Naidu challenged himself to build and release a Mac application within a single week. The goal was to overcome a tendency to perpetually build without launching and instead focus on marketing and selling a product. He designed a simple ChatGPT wrapper for macOS that allowed users to select text and run a prompt on it using a hotkey, addressing the common need to switch back and forth to ChatGPT for repetitive tasks like grammar fixes.

After developing the app, Naveen posted it on Reddit to gauge interest. The app resonated with many users who faced similar problems, leading to quick traction. The rapid prototyping approach, coupled with addressing a clear user need, demonstrated the power of focused execution.

The Mac app proved to be a significant success, especially during the peak of ChatGPT wrapper season. Naveen reported reaching a revenue of $5,000 per month, which not only generated income but also significantly boosted his confidence in product development and launching.

I, at one point, I even reached 5K per month. I'm like, that ma- that my, like, my app is making 5K.

Transitioning from Rapid App Development to a Long-Term Business Strategy

Naveen developed multiple niche Mac applications, such as Screen Time Plus, specializing in single core features. These products, like one priced at $29-$39, often required users to provide their own API keys, leading to a focused but limited market.

Through this process, he became proficient at rapidly building and launching apps, effectively using platforms like Reddit and X to gain visibility and convert interest into sales. He honed the ability to quickly ship minimal viable products.

Despite his increasing efficiency in app creation and marketing, Naveen recognized a significant limitation: he lacked a clear, long-term business plan. He described these efforts as 'making some random apps' without a strategy for sustained growth or a five-year vision.

This realization, that his skills in rapid development needed to be paired with a foundational business strategy, ultimately motivated him to join Every as an Entrepreneur in Residence.

But I don't really have any solid business plan of, okay, how can I take this to next level?

Every's Unwritten Rule: Only Build Products You Use

It is important to ship early when building new products. Many entrepreneurs get stuck trying to perfect a product in isolation. Instead, they should embrace the learning experience of taking a small idea, coding it up, and releasing it quickly. This approach allows creators to move from nothing to a usable app they can share, rather than overdeveloping something in a vacuum that no one might actually want.

A key indicator of product viability is whether the creators themselves use it. If people are working on something they haven't shared and don't immediately use, it often suggests a disconnect. This insight led to Every establishing an unwritten rule: they will not build anything that the team doesn't use all the time. This ensures genuine excitement and utility from the start.

This 'dogfooding' approach creates a powerful feedback loop. By using their own products, the team ensures quality and addresses real problems. If the internal team uses a product daily and finds it valuable, there's a good chance the target audience will too. This strategy is particularly relevant in the current landscape, where AI has reset opportunities, making it easier to identify and solve personal problems that likely resonate with a broader audience.

We won't build anything that we don't use all the time. It's an unwritten rule that we now have.

TLDR's Struggle to Resonate with Users

Naveen Naidu joined Every in October and immediately began working on TLDR, a synthetic podcast app designed to convert various digital communications like meetings, Slack, and Discord into listenable podcasts. The goal was to make content digestible in an audio format.

The app was launched with a hurried schedule just before Christmas, alongside three other products. Despite initial impressions that it performed "fairly well," the product encountered significant challenges in adoption.

TLDR ultimately failed to gain traction within Every, as neither the internal team nor the wider Every audience found practical use for it. Users perceived the app as "cool" but expressed a clear lack of intent to integrate it into their routines, indicating a disconnect between its concept and user needs.

Okay, this is cool, but I'm not gonna use this.

Naveen Naidu's Rapid Experimentation with Kairos and Unwrite

Naveen adopted a "one experiment per week" philosophy, inspired by internal KPIs focused on the number of experiments. This strategy allowed him to prioritize rapid creation and learning over the complexities of full product development.

His initial experiment was Kairos, an AI book reading application. Despite receiving positive feedback and user affection, the app proved to be commercially unviable. The core challenge was that monetization relied on selling books within the app, and users were unwilling to pay an additional fee on top of existing book purchases.

Following Kairos, Naveen launched Unwrite, an alternative to Grammarly. This project saw some user adoption, with approximately 200 users installing the iOS keyboard and a Mac app also being developed. However, the team felt a lack of creative energy and excitement for Unwrite, perceiving it as merely solving an "old problem" rather than offering a truly innovative or "mind-blowing" solution.

It didn't feel like a creative act. It just felt like we were like solving very specific problems.

User requests and prior app experience inspired Naveen to build Jottle from scratch.

Naveen had a persistent idea for a voice-to-text application that kept "itching" at him. This idea aligned with feedback he was receiving from his existing user base.

Users of his app Unwrite, including one named Edmar, specifically requested voice-to-text functionality integrated into a keyboard. Naveen had also seen the utility of voice input in a previous app he built, Friday GPT, confirming its value to users.

Leveraging these insights and feeling confident in his refined technical and product skills, Naveen decided to completely rebuild the product from the ground up, aiming to create a superior offering based on his learnings.

let me make a really great product with all the things I learned, because now I feel like I'm really confident with my technical skills, product skills.

Monologue's Two-Day Sprint Launched with Killer Auto-Enter Feature

Naveen Naidu rapidly developed and released Monologue v1.0.1 in a two-day sprint between April 15th and 17th. This quick turnaround demonstrated the feasibility of launching a functional product with core features in a very short timeframe.

A standout feature, auto-enter, was committed on April 15th. This allows users to speak into Monologue, have their words processed and corrected, and then automatically pasted and 'entered' without needing keyboard interaction. This capability significantly enhances workflow for developers using tools like Discord, messages, or Warp, helping them maintain focus.

The auto-enter feature originated from Naveen's personal experience dogfooding Monologue. He realized the inefficiency of constantly hitting enter after speaking, leading him to integrate an automated solution. This direct user feedback, from the builder himself, proved crucial for identifying and implementing a high-impact feature.

The success of features like auto-enter illustrates that a product can gain traction with just one 'killer feature' that deeply resonates with users. This core functionality was enough to validate the product idea and encourage early adoption, with subsequent development focusing on polish and bug fixes rather than inventing new core mechanics.

you just need like one killer feature to really convince yourself and see if people really wanna use what you're building.

Internal demos and high-signal feedback from team members quickly drove feature development for Monologue.

Naveen Naidu internally demoed the Monologue app, feeling uncertain about its progress. Kieran, a team member who used his own Python script with local Whisper, became very excited by the app, marking a significant initial reaction.

Following Kieran's excitement, Naveen immediately released the app to him. Kieran's first request was for local Whisper models, which Naveen quickly implemented. This rapid response encouraged other team members like Nitish, Alex, and Brandon to start using the app and provide continuous feedback.

This internal feedback loop became crucial. Dan Shipper recounted a specific instance where Kieran encountered a bug and sent a message with a screenshot simply stating, "Immediate churn." This candid, high-fidelity feedback, while blunt, was invaluable for identifying issues and driving improvements quickly.

Immediate churn.

Every leverages its bundle strategy to differentiate Monologue in a crowded market

Initially, Every faced internal resistance to developing Monologue because it wasn't a net-new product in a category with existing alternatives. The team typically focused on creating entirely new tools, making the decision to build an improved version of an existing idea a challenge.

The turning point was realizing Every's subscribers sought a comprehensive "last subscription" solution for staying updated on AI, beyond just a ChatGPT account. Excellent voice dictation emerged as a core tool users needed, and Every felt it would be a disservice not to include it as part of their bundle offering.

Every's long-term bundle strategy proved crucial for Monologue's competitiveness. By offering Monologue within a single subscription that also includes other software and premium AI-focused writing, the value proposition significantly outweighs buying a standalone app.

This bundle approach allowed the team to focus on serving their existing subscriber base rather than getting caught up in direct competition with external products. This internal focus helped alleviate concerns about perceived copying and enabled a dedicated effort to create a high-quality product for Every's audience.

I realized very, very good voice dictation is one of the main tools that people are using, and we're actually doing subscribers a disservice if we don't include this as a part of their bundle.

Monologue Achieves 7,000 Daily Users with Only a Download Button

Monologue has experienced an unexpected and rapid surge in user activity, reaching 7,000 daily usages with an incredibly minimalist online presence. The "landing page" for the product literally consists only of the word "Monologue," a download button, a "please don't use this 'cause it's a public beta" disclaimer, and an Everly sticker.

The growth trajectory shows a consistent upward trend. Initially, Monologue saw approximately 130 users per day, which steadily climbed to 150, 200, and then 300-350 daily users. Week-over-week usage also escalated significantly, starting at 230 users in the initial week and reaching around 1,500 weekly usages by the end of May. Currently, the product logs 7,000 daily usages, demonstrating non-linear growth.

This organic traction is particularly notable when compared to competitors in the same space, some of whom have raised substantial capital, such as WhisperFlow with $50 million. In contrast, Monologue was developed by one person, Naveen, with less than $20,000 invested. This stark difference highlights that massive funding is not always necessary for building a successful product and can even put companies in a difficult position.

The product's ability to achieve significant usage with minimal marketing and investment strongly indicates a genuine market need and robust product-market fit. This success underscores a new paradigm in product development where efficient, artful creation can lead to multi-million dollar outcomes without the burden of excessive capital or the pressure to achieve a billion-dollar valuation.

Like, we have already built something that is successful. Period.

Monologue's Distinctive Design Draws Inspiration from Teenage Engineering

Despite early user adoption, Monologue's initial user interface and experience were unsatisfactory. Recognizing this, the team brought in Lucas, a creative lead, to overhaul the product's aesthetic and interaction.

A core design inspiration for Monologue was the 'Teenage Engineering' aesthetic, known for its cool and distinctive hardware like recording and music-making devices. The goal was to make the app look different and visually appealing while also ensuring it functioned effectively and was integrated into a bundle.

Lucas played a pivotal role, conceptualizing the 'monophone' idea to transform the app from a simple text blob into an entity users felt they were directly communicating with. His contributions extended to the app's sound, animations, and even its name, Monologue.

The redesigned onboarding experience and overall aesthetic have elicited strong emotional responses from users, with many expressing how unique and impactful the software feels to use.

This is the first time I've gotten emotional using software in many years.

Naveen Naidu Details His AI-Powered Coding Workflow

Naveen Naidu approaches software development by treating AI models as a team of virtual collaborators. He describes a dynamic workflow where he can either act as a "manager," delegating numerous tasks to various AIs for review, or engage in active development using a specific AI tool directly.

His evolution of AI tools started with WinSurf for initial agentic coding, then moved to Cloud Code, which he credits for building a significant portion of his Monologue project. More recently, he has primarily adopted Codex CLI, demonstrating its role in handling daily coding tasks.

Naveen also integrated different versions of Claude, including an open-source O3 model and Opus 4.1, into his workflow for a period, indicating a flexible approach to adopting new AI advancements. This adaptability allows him to continuously refine his development process by switching between tools like Claude and returning to Codex CLI as needed.

This strategy highlights a modern developer's ability to leverage cutting-edge AI tools to significantly enhance productivity, effectively creating a solo developer with the output of a small team.

It all depends on my mood as well. Like, if I'm in that mood of, okay, today I will be in a manager mode and let me just give a bunch of tasks to all these AIs and review it.

Choosing the Right AI Partner for Development Tasks

When selecting an AI model for coding, GPT-5 (Codex) offers superior precision and a 'senior engineer' quality, making it ideal for planning and implementing specific, well-thought-out changes. It provides critical feedback and excels at navigating extremely complex and obscure codebases, such as legacy Mac CG event hotkey bugs from the 1980s.

In contrast, Claude is described as highly industrious, capable of persistently tackling broad setup tasks like getting a local repository running, even if it means 'banging its head against the wall.' However, its code output is often less refined, described as having a 'junior engineer' feel with excessive comments and less optimized logic.

For Swift-specific development, certain models demonstrate particular strengths. O1 and O3 Mini (from the O-series 'thinking models') are highly effective for technical and complex Swift applications, such as rendering dynamic UI elements. Opus 4.5 is also noted for its proficiency in implementing features in Swift.

The availability of these AI tools transforms how developers approach once-daunting technical problems. What previously might have required hiring a specialist for a year or a significant budget can now be solved efficiently, with models like GPT-5 and Opus 4.5 acting as reliable 'team members' that boost developer confidence.

I got my partner. I have Opus 4.5. Those are my like team members.

Naveen Naidu Outlines Ambitious Goals for Monologue

Naveen Naidu has set ambitious targets for Monologue, aiming to achieve $1 million in Annual Recurring Revenue (ARR) within the next year. This goal is particularly significant as it matches Every's current ARR, which they recently surpassed.

Beyond the long-term ARR goal, Naidu also plans to release an iOS app for Monologue in the near future. This release is proving challenging due to Apple's developer policies. Additionally, he targets reaching $10,000 in Monthly Recurring Revenue (MRR) by the end of the current year.

Naidu expresses confidence in achieving these milestones, attributing potential success partly to leveraging Every's established audience and distribution channels. He emphasizes a 'distribution first' approach, benefiting from the foundational work done by Dan Shipper and Every over the past five to seven years.

in one year we want to hit one million ARR for Monologue.