AI tool turning text instructions into Excel formulas.

David Bressler, the founder of Excelformulabot.com, came up with the idea while on paternity leave. After discovering the power of AI and its potential in Excel formulas, he realized there was a need for an AI-based Excel formula generator. With 1 billion Excel users worldwide, Bressler saw a big enough market and quickly built a barebone application that went viral and gained traction through Reddit, TikTok, Instagram, and Twitter. Since the launch in September 2022, the website has generated over $14K in monthly recurring revenue.

Excelformulabot was developed quickly to capitalize on the growing AI industry, with a minimalistic MVP built using the no-code platform Bubble.io. The initial version had basic functionality: an input field for user instructions, a button for generating formulas, an output field displaying the results, and a copy button. This barebone MVP took just a few weeks to build, reflecting David's urgency to harness the first mover's advantage in the AI space. He faced challenges related to unexpected high API costs due to viral exposure and immediately had to create a business model to manage costs efficiently. Feedback from the Excel subreddit was crucial for iterating on the initial version, which transitioned into a subscription-based platform with paywalls and logins over several months, demonstrating the effectiveness of user feedback in refining product offerings.

Viral Marketing on Social Media

Excelformulabot experienced significant growth through viral marketing, particularly on TikTok, Twitter, Instagram, and Reddit. The platform gained traction when users began sharing it as a "website that feels illegal to know." The ripple effect from influencers and micro-influencers posting about Excelformulabot amplified the brand's reach substantially. The virality continued across different social platforms, leading to widespread recognition and traffic.

Why it worked: Viral marketing tapped into the power of social proof. When influencers shared their experiences, their followers were intrigued and inclined to check out the service themselves. The portrayal of the site as a secretive hack added a compelling element that spurred curiosity and shareability.

Influencer Collaborations

Direct engagement with influencers has been a crucial part of Excelformulabot’s marketing strategy. David Bressler reached out to influencers whose audiences aligned with the product's use case in areas like finance, data, and accounting. Collaborations were either based on free promotions or paid partnerships, typically ranging from $200 to $3K per engagement.

Why it worked: Engaging influencers allowed Excelformulabot to tap into established communities that trusted their recommendations. This strategy effectively positioned the product in front of targeted users who found immediate value in the tool, especially amidst audiences who frequently use Excel.

Organic SEO and Branding

Excelformulabot benefitted from organic search traffic, largely driven by people searching for terms like "Excel formula bot." The brand's presence as both the category creator and the main solution provider resulted in high exposure on search engines. The site also garnered backlinks from reputable sites, enhancing its organic search appeal.

Why it worked: The brand's dominance in its niche and the creation of targeted content helped capture users actively searching for AI solutions for Excel. Having a name that directly matched user intent searches significantly enhanced discoverability and credibility.

Email Marketing and User Engagement

For customer retention and reengagement, Excelformulabot deployed email marketing strategies. Personalized messaging was developed based on user interactions, such as the type of formulas searched and user engagement levels. These tailored emails helped retain paying customers as well as encourage trial users to convert.

Why it worked: Personalized email campaigns aligned closely with user behavior, increasing the relevance and impact of each communication. This approach fostered a sense of connection and ensured users saw continued value in maintaining their subscriptions.

Get hired faster with AI-generated resumes tailored to your job applications

In my early career, I used to be a recruiter (mostly tech) for some of the largest companies in the world. Back in 2018, I ended up writing the most popular resume advice on the internet via a post on Reddit on random Saturday morning that went mega-viral. Since then my resume template has been downloaded over 4M times since then – so I knew without a doubt that there is massive demand for trustworthy, straightforward, actionable resume advice.

Over the years, I've maintained the reddit thread by answering thousands of comments and questions from job seekers, all for free, accidentally positioning myself as redditors' most trusted resume whisperer.

With the advent of AI, I've been able to amplify my time and expertise by training the Sheets AI Resume Builder with my recruiting knowledge. We gave it away for the first week and saw thousands of excited users with great reviews, so we knew we were ready for prime time.

This is very different than my past business experience as Founder and CEO of Sheets & Giggles, a sustainable bedding brand known for its Eucalyptus Sheets.

In 2023, I started doing 1:1 resume reviews in my spare time with my good friend and old recruiting colleague Nate, who is also a software engineer at EventBrite. We loved helping people 1:1 and making such a huge impact on their lives, but we just didn't have enough time to help out everyone who came to us. Plus, because each resume review took a ton of time, we had to charge $400, which was prohibitive for a lot of folks who were unemployed.

In 2024, Nate asked me if maybe we should automate our reviews to help more people at a lower price, and voila! The Builder's tech stack is OpenAI, Gemini, PHP (Laravel), RestAPI, AWS, and a few other pieces. We started training an AI with our resume rules and recruiting knowledge, and it took about 4 months (working nights and weekends) before we had the UX dialed in.

We let people build their resume, and then ask them if they'd like to become a lifetime member for $99 – no recurring fees, unlimited usage, and no-questions-asked refunds. We are trying to figure out how to add in a free usage tier, but for now if anyone needs it for free because of financial constraints, they just have to email me and I'll grant them a free temporary membership.

The business is totally bootstrapped.

My image

We use Google Ads, affiliate marketing, PR, influencers, YouTube sponsorships, podcast sponsorships, and SEO content marketing to drive more website traffic.

We have a robust organic Reddit presence, answering questions freely and often. I think my best tip is that it's important to help people first and foremost, as often as you can, asking for nothing in return... and good things will follow.

"Scalable AI content generation tool for SEO success."

Chris Riley, a seasoned media site builder, spotted a gap in the programmatic AI content market when ChatGPT launched in early 2023, seizing the opportunity to revolutionize SEO strategies. With a modest initial investment of $9,000, Cuppa AI achieved profitability in their very first weekend, hitting $30,000 MRR today and targeting $50,000 by 2025.

The initial product development for Cuppa AI began with the acquisition of a barebones AI content framework for $9,000 in February 2023. This foundational purchase was made possible through networking on Twitter and was funded entirely through personal means, as the team opted not to seek external investment. Building on this framework, the team spent 4-6 weeks transforming it into the first operational version of Cuppa AI. The process of advancing the framework into a viable product was challenging and costly, primarily due to development expenses required to make it market-ready. The co-founders found the transition from a skeleton framework to a consumer-ready product to be a demanding endeavor, navigating both the technical intricacies and financial demands inherent to such a transformation.

Organic Social Media

Cuppa AI leveraged organic social media, mainly through platforms like X (Twitter), to drive initial sales. The strategy centered on "building in public" to generate excitement about the product. They cultivated curiosity by sharing authentic and transparent updates about their development process. This approach allowed them to create anticipation and awareness without spending on advertising, focusing on their existing following and networks to amplify their messages.

Why it worked: Authenticity and transparency in communication foster trust and community engagement. By showcasing their journey and progress openly, Cuppa AI was able to create a strong initial interest in their product, which translated to immediate sales upon launch. Their network on X played a crucial role in spreading the word, leveraging the platform's wide reach within their target audience.

Email Marketing

Email marketing has been a significant channel for Cuppa AI to increase and retain their customer base. They focus on collecting emails not just through product sign-ups but also via newsletters to provide ongoing value. This method keeps them directly in contact with their audience, allowing personalized communication and better engagement than social media timelines.

Why it worked: Email provides a direct line to the customer's inbox, bypassing the noise of social media. This enables Cuppa AI to upsell, cross-sell, and foster brand advocacy more effectively. The ability to consistently offer value through their email campaigns helps maintain customer interest and reduce churn, leading to sustained growth.

Reddit Posts

Cuppa AI utilized Reddit strategically to tap into discussions related to their product. By crafting thoughtful posts and engaging with the community, they were able to showcase their product's value and benefits, driving significant traffic and interest.

Why it worked: Reddit's platform is built on niche communities that are often highly engaged and specific in their needs. By participating in relevant subreddits, Cuppa AI could directly reach a segment of their target market that was likely searching for solutions like theirs. This approach helped them gain credibility and reinforce their product’s positioning through genuine interactions and discussions.

Student-focused AI writing tool for effortless creativity.

Dmitry Afonov, leveraging his experience as a software developer and CTO, founded Aithor after noticing CEOs often missed technical aspects. Launched in May, Aithor reached $6M in revenue, capturing students and professionals with its AI-writing assistant.

The founders built the first version of Aithor in just two weeks, leveraging their backgrounds as developers. Early development focused on digital product creation, with a co-developer and the founder responsible for all programming. They used existing AI technologies, such as integrations with ChatGPT and created basic tools like a rewriter, paraphraser, paper writer, and editor to address student writing needs. The initial MVP was intentionally limited in features, concentrating on showcasing customer value and iterating based on early user feedback. One significant challenge was the need to quickly change their original product name ('Essai') due to patent issues, which caused extra work but ultimately resulted in a stronger brand identity.

Performance Marketing The team invested heavily in paid ads, primarily on Google, to generate their first sales, spending $70K over four months even when early revenue ($15K) did not cover marketing costs. Why it worked: Aggressive paid marketing built crucial early traction and allowed them to test the market and scale rapidly after optimizing channels.

Influencer Marketing They built an in-house team to collaborate with influencers on TikTok, Instagram, and YouTube, then reused top-performing influencer content in paid ads to maximize reach. This combination of channels and frequent creative refreshes reduced customer acquisition costs and kept campaigns efficient. Why it worked: Leveraging authentic influencer content boosted engagement and conversions while lowering the cost of user acquisition compared to relying on paid ads alone.

Geographic Diversification Initially, 80% of their traffic was from the US and UK, but they expanded rapidly into Latin America, MENA, and Europe, reducing reliance on any single region. Why it worked: Broader market reach helped sustain growth and revenue outside of typical seasonality, making the business less dependent on traditional core markets.

In 2020, Ramsri Goutham Golla uncovered the potential of AI-generated quizzes while collaborating with an edtech founder in Singapore. After moving back to India post-team conflict, he built Questgen.ai as a side project, eventually achieving $4k MRR with 70-80% profit margins.

To build the first version of Questgen.ai, Ramsri Goutham Golla focused on a simple interface, where users could input text in one textbox and receive generated quizzes in another. Not being a full-stack developer, he utilized no-code tools and chose Bubble.io for its supportive ecosystem to construct the initial prototype. This version communicated with an API to generate the quizzes and included basic features like Google authentication for users. Over time, as his technical skills developed and AI-assisted coding became more mainstream, he transitioned to using NextJS to rebuild the system for more advanced capabilities like streaming. This development process was a learning journey, involving experimentation and gradually integrating features like databases and Stripe payments.

SEO

Questgen.ai relies heavily on search engine optimization (SEO) for acquiring new customers. By focusing on this channel, they were able to drive traffic without spending money on paid advertisements. Over time, as the founder shared his learnings and experiments via blogs, he optimized them to include links back to the SaaS platform once it was launched. This strategic approach to SEO ensured a steady flow of organic traffic.

Why it worked: The strategy effectively leveraged past content, guiding interested readers to the new product. As the content was relevant, it naturally improved the site's SEO standing, bringing in traffic searching for AI quiz generation solutions. Given the nature of their educational domain, consistent content updates aligned with SEO best practices helped maintain visibility despite changing algorithms.

Social Media

The founder of Questgen.ai actively used social media, particularly LinkedIn and Twitter, to announce the launch and subsequent updates of the product. Building in public, he shared new features and product developments, which helped generate interest and engagement. This approach was consistent and organic, allowing him to connect directly with potential customers without incurring significant costs.

Why it worked: Social media platforms are effective for building personal and product narratives, especially when you're willing to share the journey transparently. By actively posting updates and engaging with his audience, the founder capitalized on the natural reach and word-of-mouth marketing inherent to social platforms. The personal touch and continuous updates kept the product top-of-mind for followers, leading to organic growth.

Product Hunt Launch

Questgen.ai was also launched on Product Hunt, a platform widely known for product discovery. This was part of a broader strategy of 'building in public' and sharing comprehensive product announcements.

Why it worked: Product Hunt is a community known for its active engagement with new and innovative products. Launching there provided visibility to an audience specifically interested in new tech solutions, thus leading to increased exposure. The nature of the platform often results in a spike of initial traffic, feedback, and sometimes a catalyst for further organic growth due to the community sharing interesting finds within their networks.

AI-powered platform for professional headshots from selfies.

After a varied career including a failed coffee bar, a marketing agency stint, and multiple small ventures, Ricardo Ghekiere's lightbulb moment came post a night out in Spain. Teaming up with Miguel Rasero, who had found success with Minecraft servers and AI projects, they transformed BetterPic.io, growing it from $1,500 to $20,000 in monthly revenues by July 2024.

Building BetterPic's product was a complex yet innovative process primarily focused on utilizing AI technology for creating professional headshots from selfies. Initially, Miguel Rasero worked alone, developing the AI model using open-source tools like Stable Diffusion, building with his proficiency in Python and JavaScript. Early development involved rigorous testing and iterations on text-to-image models, image processing, pipeline optimization, and advanced training methods, resulting in gradual improvement of the AI's ability to produce quality headshots. The first prototype faced challenges, especially in achieving realistic facial resemblance and texture details, which took three months to reach acceptable quality. The tech stack included Vue 3 (Nuxt) for the frontend, Supabase for authentication, PostgreSQL for the database, Vercel for deployment, and Node.js for the backend. Despite launching incomplete before a vacation, the experience taught valuable lessons in rapid problem-solving under pressure, highlighting the chaotic but rewarding journey of a solo founder deploying a cutting-edge product.

SEO

BetterPic focused on search engine optimization (SEO) from the start, producing content and building links to improve visibility in search results. They targeted specific keywords like 'studio AI headshots,' improving their Google rankings over time. Despite some setbacks, such as temporarily losing their ranking for 'AI headshot generator,' they persevered and regained positions. This strategy gradually increased their monthly organic revenue.

Why it worked: Customers were actively searching for AI-generated headshots and related services. By optimizing their website for popular search terms and consistently improving their content strategy, BetterPic captured organic traffic, which was crucial for their low average order value business model.

Pinterest

BetterPic leveraged Pinterest as an unconventional yet effective marketing channel. By posting over 100 headshot images on their Pinterest page, they amassed 750,000+ impressions. This approach drove significant traffic to their site without incurring direct costs.

Why it worked: Pinterest is a visual platform, ideal for showcasing headshots. It attracted users interested in visual content, leading to increased brand visibility and website visits. The approach was creative and leveraged an untapped marketing avenue for BetterPic's type of service.

Pricing Strategy

To increase the average order value, BetterPic adjusted their pricing strategy. They raised the price of their basic package from $25 to $29, making the $35 package appear more attractive. This change resulted in a 400% sales increase of the $35 package.

Why it worked: By strategically altering their pricing tiers, BetterPic nudged customers toward a higher value package without making significant changes to the offerings themselves. This psychological pricing tactic effectively increased revenue per customer.

After leaving his nearly decade-long finance career and spending years contracting at tech companies, the co-founder of My AskAI saw his breakthrough when experimenting with GPT-3 technology. Teaming up with a colleague, they initially created tools like a university personal statement generator and No Code AI Model Builder before pivoting to My AskAI, which now makes $25k/month and handles AI customer support for SaaS businesses.

The initial version of My AskAI was developed using the no-code platform Bubble, which allowed the founders to rapidly prototype and iterate based on user feedback. This approach enabled them to create a functional product within just two weeks, even while one of the co-founders was on vacation in Thailand. Their initial product concept allowed users to upload a file and interact with it using natural language, a feature they tested with 5-10 potential users to ensure usability. Challenges included managing scope and iterating features swiftly, but the no-code setup allowed quick adjustments without heavy resource investment. The v1 development cost was approximately $50 in software fees, showcasing a lean and efficient build process that prioritized user feedback and testing.

SEO

My AskAI has been focusing on search engine optimization (SEO) to drive traffic to their site. They work with an agency to create blog content and build tools that can attract visitors from search engines. This strategic approach aims to capture people who are actively searching for solutions or insights related to AI and customer support.

Why it worked: By positioning themselves as a source of valuable content related to their niche, they can attract their target audience. SEO helps build a sustainable flow of organic traffic that grows over time, leading to consistent customer acquisition.

Social Media (LinkedIn)

The team noticed their best clients often came from LinkedIn. They plan to spend more time there, using social selling tools like Breakcold to build deeper connections and leverage networking opportunities.

Why it worked: LinkedIn is a platform designed for B2B networking and is effective for reaching potential business clients. By engaging thoughtfully and authentically, they can attract high-quality leads who are interested in SaaS solutions.

Product Marketing

My AskAI actively promotes their product through email flows, newsletters, and updates about new features. They ensure their communication channels highlight recent developments and benefits to keep existing and potential customers engaged.

Why it worked: Constant updates and clear communication keep the brand top of mind for their audience. Highlighting the product's evolving features can help convert prospects to paying customers and maintain interest from current users.

Customer Engagement and Feedback

The team places a high priority on engaging with customers and capturing feedback. This approach includes qualifying users, focusing on a specific user subset, and tailoring the product to meet their needs effectively.

Why it worked: By understanding their customers deeply and adapting their product accordingly, they can increase loyalty and reduce churn. This targeted strategy also helps attract long-term users who are more aligned with their product’s offerings.

Andrew and Michael, leveraging their extensive startup and web3 backgrounds, founded BasedLabs in December 2023 after struggling to find high-quality AI b-roll for automated content creation, quickly achieving a $10K MRR and 150,000 signups with less than $500 on marketing.

Michael managed to have the MVP of BasedLabs up and running in just three days. The initial product included an image-to-video generator and a user-friendly website with features like Google Auth signup. The development focused on being lean and fast, enabling them to spend only $100-200 on essential expenses during the first month. They leveraged Replicates API for AI models to quickly introduce new tools and services, allowing rapid iteration and development. This process was challenging due to tight budgets and the need to balance speed with functionality, but it set them up to acquire their first customers and gather valuable feedback for improvements.

Social Media

BasedLabs found success through social media platforms like Twitter, TikTok, and Reddit. From the onset, both founders focused heavily on creating content for these networks. They utilized Twitter for sharing promotions and user-generated content, which helped generate initial traction. A pivotal moment was a viral tweet shared by @ThunderMonique, which significantly boosted their traffic by 10,000 visits in one week. This focus on social media, particularly in their early days, allowed them to gain 500-1,000 sign-ups in their first month and build a solid foundation for growth.

Why it worked: Social media platforms are excellent for organic growth, especially when funds are limited. By targeting relevant communities and leveraging viral content, BasedLabs was able to reach potential customers at nearly no cost. The viral tweet indicates the power of peer sharing and the influence it can have on driving traffic.

SEO

SEO quickly became a primary growth channel for BasedLabs, with a focus on creating articles, free tools, and user-generated content to attract organic traffic. By month three, the company began to rank for SEO keywords, gradually increasing sign-ups to 10,000-40,000. The founders concentrated on building a strong backlink profile and focused on ranking for high-traffic keywords. This commitment to SEO resulted in a consistent flow of roughly 5,000 daily visits from organic Google searches.

Why it worked: SEO provided a scalable method for attracting customers without significant ongoing costs. By building their core strategy on SEO from the very beginning, they established themselves as a go-to resource, allowing them to capture user interest repeatedly without continual expenditure on paid marketing.

Partnerships and Affiliates

Another successful strategy was building partnerships and utilizing affiliate marketing. By offering free credits to AI video creators and building relationships with bloggers who would use their affiliate links, BasedLabs increased their visibility and sign-ups significantly. During months three to four, these efforts expanded their reach, helping them capture broader audiences through trusted third-party endorsements.

Why it worked: Partnerships and affiliates can exponentially increase one's reach through existing networks. By aligning with content creators and bloggers, BasedLabs amplified their efforts via channels that had already built-in trust with their target audience, providing a bigger impact than traditional advertising might have achieved.

AI-powered job application toolkit for job seekers.

Aidan Cramer co-founded AiApply after drawing from his HR tech experience and leveraging the viral success of his previous AI-driven venture, PetVet.ai. Their platform, which now generates $25K in monthly revenue, revolutionizes job applications using personalized AI to streamline the process.

The initial product development for AiApply started with a simple yet powerful video demo that illustrated a browser extension aimed at automating the job application process. This garnered significant attention on Twitter, validating market interest. Partnering with Peter Utekal, who had expertise in building browser extensions, they developed the first fully functional version of the tool. Despite the innovation, challenges in monetization and user base growth led them to pivot to a web-based platform. This transition involved intense development using an agile methodology, with rapid iterations and a tight feedback loop that sometimes saw daily updates. The experience highlighted the iterative nature of startup development, underscoring the importance of adaptability, user engagement, and perseverance in achieving product-market fit.

Content and Social Media Virality

AiApply gained initial traction by leveraging the power of social media platforms. The company created engaging demo videos showcasing their tool and shared these on platforms like Twitter and TikTok. This approach was not just about showcasing their product but actively engaging with their community, identifying their pain points, and demonstrating how AiApply could address these challenges. This content strategy was designed to resonate with the target audience's challenges and aspirations, making it highly shareable and capable of driving significant organic growth.

Why it worked: By creating content that was directly relevant to their audience, AiApply tapped into a broader market. The shareability of the content led to viral growth, which is highly effective at reaching a large number of potential users at a relatively low cost.

Diversified Marketing Channels

The marketing strategy for AiApply involved a mix of PPC advertising on Google and Meta, influencer collaborations, and a strong emphasis on SEO. By balancing the immediate returns from PPC and influencer partnerships with the sustainable, long-term growth provided by SEO, AiApply ensured a consistent flow of new users. This diversified approach reduced the risk of relying too heavily on a single acquisition channel.

Why it worked: The use of a diversified marketing strategy allowed AiApply to reach different segments of their audience effectively. By testing various channels and measuring the return on investment, they could focus on the most effective strategies, ensuring growth while maintaining cost-effectiveness.

Customer Retention through Value Addition

To keep their existing customers engaged and loyal, AiApply focused on continuously adding value. This included offering regular updates on job market trends, personalized tips, and creating a community centered around career growth. AiApply also established a feedback loop that enabled users to suggest features or report issues, engaging them in the development process and building loyalty.

Why it worked: By adding continuous value and listening to its users, AiApply not only improved its product but also fostered a sense of community and loyalty among its customer base. Engaging customers in product development proved to be an effective retention strategy.

Networking and Partnerships

AiApply built relationships with other businesses and influencers in the HR and tech spaces, which opened doors to collaborative opportunities. This networking was not just about superficial connections but about finding synergies and exploring ways to add mutual value.

Why it worked: Networking in this manner allowed AiApply to tap into established audiences and access resources and opportunities that facilitated further growth and user acquisition. By aligning with partners in complementary sectors, they could reach new customers and enhance their credibility in the marketplace.

AI app transforming voice notes into structured content.

After dropshipping and freelancing fizzled out, Nico locked himself in a hotel room for two months, learned to code from scratch, and launched 17 apps in a year—selling one for $65,000. His frustration with poor transcription tools led him to create Talknotes, now generating $5,000/month.

The founder built the first version of Talknotes in about 3 to 4 days, focusing tightly on a minimal set of core features: recording voice notes and using AI to convert them into structured content like blog posts and bullet point lists. Development began with VSCode and basic web tooling, utilizing vanilla Javascript, HTML, and CSS, with AI-powered text processing handled through the OpenAI API—an approach that kept initial costs under $10 (mostly for API usage). The first prototype involved manually transforming recordings into summaries to ensure feasibility, and only then was a simple user interface layered on top. There was rapid iteration, but no mention of a formal user testing phase at this very early stage; the main challenge was shipping quickly enough to validate demand, in line with the founder’s philosophy of fast-moving product trials. No notable technical blockers were reported, possibly due to the narrow scope of the MVP and reliance on established AI APIs.

Paid Advertising Talknotes leaned on paid ads as its top acquisition channel after launch, spending around $50 to acquire each customer and focusing on subscriptions to recoup this investment within a few months. Annual subscription discounts generated immediate cash flow that was reinvested into further advertising. Why it worked: Controlled, measurable ad spend drove steady, scalable growth and enabled rapid customer acquisition despite higher up-front costs.

Directories & Product Hunt Launches Initial traction came from listing on startup directories and launching on Product Hunt, where the app became Product of the Day and quickly reached $1,000 MRR in two months. Why it worked: These platforms exposed Talknotes to early adopters and startup enthusiasts actively seeking new tools, resulting in a burst of free users and early sales.

Content & SEO Blog posts and free tools were attempted but only delivered negligible sales—one blog effort produced just three conversions. Why it struggled: Content-driven channels failed to gain organic momentum or convert in this niche, possibly due to competition and the immediacy of the audience's needs.

After noticing that founders preferred tools over educational resources, Sveta Bay co-launched FounderPal, an AI-powered marketing tool, boosting their business to $10,000/month in revenue by transforming strategic AI prompts into actionable marketing plans.

FounderPal was built using a no-code approach via Bubble, allowing the team to develop the product rapidly without extensive programming knowledge. By leveraging Bubble's platform for $32 per month, the team was able to ship a minimal viable product (MVP) in just three weeks, significantly reducing the time and cost compared to traditional coding methods. The development process was lean, with the initial minimalistic version costing only $150 for the first month, including the expense of using OpenAI's API.

The early iteration of the tool was designed to validate the concept, featuring a straightforward flow where users would input a business description to receive marketing strategies. Despite facing high API costs of $1 per strategy due to expensive GPT-4 prompts, the strategic choice of focusing on delivering quality over lower margins attracted loyal customers. This approach demonstrated the importance of launching something simple and iterating based on user feedback, as opposed to being bogged down by an overly complicated first release.

Side-Project Marketing

FounderPal used side-project marketing to attract customers. They created simple AI tools that users could use for free, like the User Persona Generator and Business Ideas Generator. These tools served two purposes: providing value to users and promoting their main paid product organically. Users could try the tools without needing to sign up but were encouraged to leave an email for additional features. This approach not only attracted free users but also created a natural transition to introducing their paid services.

Why it worked: This method effectively drew in potential customers by offering tangible value upfront. Users were more likely to explore their offerings as the tools were directly relevant to the main product. This strategy also generated organic traffic from newsletters and social media platforms like TikTok, helping FounderPal reach a wider audience without aggressive marketing tactics.

Product Hunt and Email Marketing

FounderPal leveraged Product Hunt launches to gain visibility. They carefully planned their launches, considering the best days and crafting engaging content. Their Product Hunt strategy included aesthetically appealing visuals and concise taglines, which were crucial for capturing attention. Additionally, they utilized their existing email list to inform users about launches. The simplicity of their emails ensured high engagement and click-through rates.

Why it worked: Product Hunt is a popular platform among tech enthusiasts, providing a significant boost in exposure when strategized effectively. By coupling this with straightforward email communication to an existing audience, FounderPal maximized their reach and potential for engagement. This combination ensured they were visible to both new and current users, thereby enhancing launch day traffic and subsequent sales.

SEO and Content Marketing

FounderPal focused on SEO to drive organic traffic to their website. They identified overlooked keywords related to their product and created content around them. Their strategy involved building free tools tied to these keywords, which helped improve their search engine rankings. This approach brought consistent traffic over time, thanks to low-competition keywords and backlinks from users and influencers who shared the tools.

Why it worked: Focusing on SEO provided a steady stream of new visitors to FounderPal’s tools and website. By targeting less competitive keywords, they could rank higher on search engines without needing extensive backlink profiles. This method also harnessed the power of organic sharing, as satisfied users promoted their tools, enhancing their reach even further.

Free Tools and Organic Promotion

FounderPal’s use of free tools not only helped with side-project marketing but also amplified organic promotion. Each tool was designed to engage users first by offering a valuable experience without requiring personal information. For additional value, users would provide their email, which was then used for follow-up marketing efforts.

Why it worked: Giving away functional tools for free allowed FounderPal to reach a larger audience without traditional advertising expenses. This tactic generated goodwill and a built-in audience willing to pay once they saw the value. The organic promotion from users and mentions in influencer content further extended their reach, proving to be an effective and low-cost marketing strategy.

Text-to-video automation for effortless content repurposing.

Ash, a Chartered Accountant turned content entrepreneur, launched Repurpose Pie after his co-founder paid $500/month to a video editor for converting tweets to videos. Spotting a lucrative pain point, the team built software to automate this process, achieving $75,000 annual recurring revenue within a week.

The Repurpose Pie founders began by quickly assembling a minimal viable product to validate demand. The front end was built with ReactJS and hosted using AWS Amplify, while the backend was implemented in Python, handling video creation and automation; videos were stored on AWS S3. Building the initial backend took four to six weeks due to its complexity, while the front end took just two or three days, sacrificing polish for speed. The first prototype wasn't feature-rich—it could convert tweets to videos with AI-generated voiceovers and customizable backgrounds—and iterations were shaped directly by feedback from early adopters, who received their videos via Telegram. Challenges included integrating high-quality generative AI voices (switching providers after user critique), implementing voice cloning for personal brands, and dealing with an underperforming web designer that delayed the main launch by over a month.

X/Twitter Influencer Marketing
The team leveraged their own and their early adopters' X followings to promote Repurpose Pie by sharing testimonials and product results, including from accounts with up to 500,000+ followers.
Why it worked: Direct promotion from trusted voices in the creator space provided strong social proof and targeted exactly the audience the product served—leading to both high conversion and credibility.

Waitlist & Email Marketing
They grew a waitlist of over 1,000 people using a basic Carrd site and Google Forms, then nurtured the list with regular updates and launch anticipation emails. At launch, a sequence of 10+ emails in one week resulted in rapid paid conversions.
Why it worked: Building excitement and maintaining active communication kept the audience warm and ready to buy, resulting in fast monetization and exceeding $5,000 MRR in just three days post-launch.

Direct Outreach to Influencers
Before public release, they reached out to 100+ X influencers with a personalized pitch and product demo, converting about 50% to paid early adopters, who also provided testimonials and feedback.
Why it worked: Early access and personal pitches to power users turned influential creators into initial customers and evangelists, which validated the product and generated word-of-mouth growth.

Zandra Moore, a veteran in the software industry, saw a recurring issue in SaaS platforms: they collected vast amounts of data but lacked user-friendly analytics. Teaming up with Ken Miller, they spun out Panintelligence, a zero-code data analytics platform, which now boasts over 500 SaaS customers and $3.8 million in revenue.

Ken Miller, the co-founder of Panintelligence, initially developed the platform in-house at a fintech company, which absorbed the initial product development costs. The first version was built on Flash and tailored to meet the specific data insight needs of their initial client. When it spun out as a standalone product, it quickly transitioned to an HTML-based platform that could be customized to match various SaaS infrastructures and security protocols. In 2019, following Series A funding, the product evolved into a cloud-based SaaS-for-SaaS analytics platform, facilitating easy integration with zero coding. During development, they faced challenges reconstructing legacy technology and establishing essential operational systems while maintaining an active trading entity, which proved more complex than anticipated.

Targeted Outbound Sales

Panintelligence has achieved significant growth by focusing on targeted outbound sales. The company used detailed data and tools like Crunchbase and ZoomInfo to identify potential customers that fit their ideal customer profile (ICP). This profile typically includes SaaS ventures with Series A investment, at least £1m ARR, and 20+ employees, narrowed further by sectors like FinTech, EdTech, Retail, and Health. By investing in data and productivity tools, their SDR team focuses on cold calling and following up with marketing leads. This strategy ensures they reach the right people and maximizes the effectiveness of their sales efforts.

Why it worked: This precise targeting allowed Panintelligence to focus efforts on companies that were not only potential customers but also had the financial backing to afford and sustain their services. The focused approach reduced unnecessary outreach and increased conversion rates, contributing to substantial growth.

Paid Advertising and Digital Campaigns

Panintelligence uses paid ads, particularly on LinkedIn, alongside automated email and social media campaigns to engage with potential customers. These efforts are sector-focused and crafted with content aimed at appealing to key personas within their target sectors. Investing in these channels allows them to reach a broader audience while maintaining the ability to remain niche enough to be relevant to their target market.

Why it worked: LinkedIn ads and social campaigns allow for targeted marketing based on specific professional and business demographics, crucial for reaching decision-makers in SaaS companies. This directed approach helps in capturing the attention of those who are most likely to benefit from Panintelligence's services, thereby increasing the chances of successful customer acquisition.

Customer Referrals

Existing customers are a significant source of new business for Panintelligence. Their satisfied customers often refer them to peers, creating a network effect that naturally expands their customer base. By solving clear problems for their clients and maintaining strong relationships, they cultivate an environment where referrals become a natural extension of their customer engagement strategy.

Why it worked: When current customers are delighted with the service, they are more likely to share this experience with others in their network. In the SaaS industry, recommendations from trusted peers hold considerable weight, making this kind of word-of-mouth marketing highly effective and cost-efficient.

Ideal Customer Profile (ICP) Targeting

Focusing on a well-defined ICP has been essential to Panintelligence's success. They have refined their ideal customer profile over time to include specific criteria like the company's revenue, funding stage, and employee count. This focused targeting aids in ensuring the efficiency of their marketing and sales operations, as efforts are concentrated only on the most promising leads.

Why it worked: A clear and strict ICP helps Panintelligence ensure that they are investing resources in leads that are most likely to convert. It reduces wasted effort and streamlines the sales process, leading to higher conversion rates and more sustainable growth.

Saravana Kumar, founder of Document360, came up with the idea for the software as a service knowledge base while searching for good documentation tools for their existing enterprise products. Realizing the lack of a suitable tool for SaaS businesses, Saravana developed the idea into a viable project and eventually launched Document360, which has since been rated the #1 Knowledge base product by Gartner Digital Markets.

The founders started by designing mockup screens to map the complete user journey, which allowed them to visualize the intended workflow before any coding began. They chose a technology stack that aligned with their team’s expertise: primarily .NET, C#, JavaScript, SQL, and Microsoft Azure, supported by Angular for front-end development. Prototyping involved breaking down the product into smaller modules to ensure each part was manageable and well-defined; the first prototype was assembled during a highly focused 14-day internal hackathon, following several months of preparatory planning and groundwork. Tools like Adobe Photoshop were used for UI design, and Microsoft Azure DevOps supported the development lifecycle. The most notable challenge was ensuring thorough preparation, as the team found that exhaustive groundwork was crucial—even though the hackathon itself was just 14 days, the planning and initial research took 3-4 months to avoid missteps and ensure each team member was equipped for the build.

PPC Ads & Outbound Campaigns The team invested in pay-per-click advertising and ran outbound marketing initiatives to generate early traction and leads for Document360. These paid efforts directly reached potential SaaS business customers searching for knowledge base solutions. Why it worked: Targeted paid campaigns helped rapidly capture market share among relevant B2B prospects, delivering qualified leads at scale.

SEO & Content Marketing They consistently published blogs, optimized the product website, and actively engaged in content syndication to drive organic inbound interest. Enhanced SEO and presence on comparison/review platforms like G2, Capterra, and Software Advice improved visibility and credibility, contributing to their #1 category ranking. Why it worked: High-intent visitors arriving through organic searches and review platforms were more likely to convert, reinforcing the brand’s authority in the space.

Customer Feedback Loop & Retention They created a feedback portal (feedback.document360.com) for collecting bug reports, feature requests, and suggestions, and actively implemented user-driven changes. Additionally, a dedicated customer success team provided onboarding, migration, and ongoing support. Why it worked: Prioritizing customer requests and delivering responsive support fostered loyalty and improved product-market fit, aiding both retention and positive word-of-mouth.

AI platform for crafting innovative business models.

helping businesses find new opportunities using their AI-powered SaaS platform. With 50,000 monthly visits and a gross income of around $8,000 MMR, Vizologi has built a community of innovators that utilize their tools to create unique and creative startups. They attract and retain customers through SEO, direct sales via LinkedIn, and the AppSumo marketplace, and have seen success in selling lifetime plans. The future looks promising as they continue to add new monthly recurring revenue and expand their product offerings.

To build Vizologi, the team initially focused on creating a website using the AGILE methodology to ensure flexibility and adaptability in their processes. This allowed them to iterate quickly and respond to changes effectively. The first product iteration included 1,000 business model canvases launched on the Internet, which served as a minimum viable product (MVP) and attracted considerable traffic. For the development process, they utilized a toolset that included Google Analytics, Cloudflare, and Jira, among others. The initial product development took about 1.5 years, and during this period, challenges included creating content that effectively attracted users, which later converted them into paying customers for their premium SaaS product.

SEO

Vizologi has effectively leveraged SEO by publishing over 1,500 pieces of content that focus on how different companies operate. This strategy has resulted in over 50,000 monthly visits, which significantly contributes to their customer acquisition. By creating content that addresses specific business models and strategies, they attract individuals and companies looking for insights, thereby boosting organic traffic and visibility.

Why it worked: SEO works well for Vizologi because it draws in a targeted audience actively seeking information on business models and strategy, leading to higher-quality leads. The extensive content library ensures they capture a wide range of search queries, increasing their site's authority and reach over time.

LinkedIn

For B2B direct sales, Vizologi utilizes LinkedIn to engage with innovation agencies and consultants. They started by sending private invitations and messages but later shifted to focusing on content creation. By sharing valuable insights and resources, they have grown their LinkedIn following, which in turn brings potential customers to their platform.

Why it worked: LinkedIn is a powerful network for B2B interactions, especially for businesses offering strategic and consultancy services. By building a reputation as thought leaders on LinkedIn, Vizologi attracts inbound inquiries from professionals and firms interested in their services, reducing the need for cold outreach.

AppSumo Marketplace

Vizologi has increased its revenue through the sale of Lifetime Plans on the AppSumo marketplace. This platform has provided them with access to an audience that they might not reach through their channels. The marketplace strategy has allowed them to steadily grow their Monthly Recurring Revenue (MRR).

Why it worked: AppSumo provides a ready audience of tech-savvy early adopters interested in innovative solutions. By offering lifetime deals, Vizologi taps into this community, achieving sustained sales growth and product feedback. The marketplace's established user base allows Vizologi to expand its reach without extensive marketing investments.

Muhammad Satar, leveraging his experience with outdated logo makers, envisioned a cutting-edge AI-powered solution, Logo Bot, now generating 450 new logos weekly. Tauan Vivekananda joined to infuse UX/UI expertise, transforming the project into a modern, free logo creation tool.

The development of Logo Crisp involved iterative testing and design adjustments. Initially, the team explored creating a conversational interface for the logo-making process, but this approach was abandoned after MVP testing revealed users found it cumbersome. They shifted to a cleaner, click-driven interface, making the experience more intuitive. The logo generation algorithms also saw substantial updates, incorporating AI for dynamic color generation instead of predefined palettes. This redevelopment was challenging due to limited resources, with a small team and freelance developers working remotely. Despite these hurdles, they managed to re-engineer their app's logic and design, significantly enhancing the product's efficiency and user-friendliness. The team utilized tools like Figma for design and WordPress for their blog, while facing the complex task of balancing design aesthetics with practical functionality under resource constraints.

Google Ads

Logo Crisp initially relied heavily on paid advertising through Google Ads to attract traffic. This method helped them increase visibility and bring in users looking for logo design solutions. By investing in Google Ads, they ensured that when users searched for logo makers, Logo Crisp appeared prominently on the search results page.

Why it worked: Paid advertising on Google provides immediate visibility to potential customers actively searching for relevant keywords. This direct approach quickly brought in users interested in creating logos, thus generating initial traffic and awareness for Logo Crisp.

SEO Strategies

As the business began to grow, Logo Crisp shifted its focus toward search engine optimization (SEO) strategies. They worked on enhancing both on-page and off-page SEO to boost organic traffic. This involved optimizing their website content to rank higher for relevant keywords and building backlinks to enhance domain authority.

Why it worked: SEO is a sustainable long-term strategy that gradually increases organic traffic. By optimizing their site for search engines, Logo Crisp could attract users passively, reducing dependence on paid ads over time and ensuring a steady stream of visitors looking for logo-making services.

Social Media Engagement

Logo Crisp started investing more effort into social media, particularly Instagram, to connect with their audience. They regularly showcased user-created logos, design tips, and other related content. This engagement not only helped maintain visibility among existing users but also attracted potential new users through shares and recommendations.

Why it worked: Social media platforms, especially visually-oriented ones like Instagram, are ideal for showcasing design products. By engaging with their audience and displaying user-generated content, Logo Crisp was able to create a community around their product, encouraging user interaction and retention.

Free Product Offering

Offering the logo-making service entirely for free served as a significant draw for new users exploring their options. By removing the financial barrier, Logo Crisp could boost sign-ups and increase traffic, building a large user base that could be leveraged later as they figured out monetization strategies.

Why it worked: A free product attracts a larger user base, lowering the barrier to entry. This approach allowed Logo Crisp to gather user feedback and improve their service, thus laying a strong foundation for future monetization while keeping users engaged with their platform.