Building an AI tool in a half-day hackathon and hitting $20k/mo

I needed this for my inner spirit, thanks for sharing this thoughtful message.

The annual-only pricing is the detail most people will scroll past, but it's the smartest decision in this entire story. It filters for committed users, reduces churn math to almost zero, and gives you a full year of runway per customer to prove value. Most SaaS founders are terrified to remove the monthly option. Louis did it and hit $20K/mo anyway. That says everything about product-market fit.

The other thing nobody's talking about: he built this with no-code tools and still scaled to $20K/mo. The "you need a custom tech stack to scale" narrative is wrong for 90% of products. I spent 6 months building a production AI platform with TypeScript, Prisma, Redis, the full enterprise stack. You know what my first paying customer actually cared about? The Slack message they got at 8am with the right insight. Not the architecture underneath.

Ship the thing that solves the problem. The stack is negotiable. The problem isn't.

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The DDoS part is interesting — most early products focus on infra attacks first, but as usage grows, the bigger risk usually shifts to auth flows and API trust boundaries.

Really cool seeing something go from hackathon → real revenue. That’s rare execution.

Seems like a crazy achievement in such a short period of time. Congrats!

The point about word-of-mouth taking over for growth resonates a lot. I've seen that transition happen with successful products repeatedly. Early on, you're pushing hard with direct marketing or social, but once you hit a certain user density and product-market fit, organic growth becomes a significant driver.

Getting to that inflection point is the hard part.

Really inspiring story. Proof that you don’t need to be technical to build something useful if you stay consistent and close to what users actually want. The “just keep building” part is probably the most important lesson here.

The "build it even if you didn't make money" framing is what separates people who eventually break through from people who quit. You can't fake that kind of motivation long enough to get to word of mouth.

The annual-only pricing is something I'm genuinely going to think about for my own product. I defaulted to monthly because it felt like less friction to convert, but you're right that it changes the relationship entirely — annual users are committed, not just experimenting.

Curious how long it took before word of mouth became your primary channel. Was there a specific user count or revenue level where you noticed the shift, or did it happen gradually without a clear inflection point?

A lot of these stories sound like it’s about building fast.

But it usually comes down to noticing early traction and actually sticking with it.

Most quick builds never get past that point.

At Kiwi Hub, we often say that the best tool in your stack isn't a specific AI. it’s persistence. Louis Pereira’s story with AudioPen is a breath of fresh air for every non-technical founder out there.

It’s proof that you don't need a CS degree to build a $20k MRR product; you need an obsession with solving "fuzzy thoughts" and the grit to survive a DDoS attack.

A few takeaways that align with our mission:

• The "Hackathon" Spark: Sometimes your best product starts as a "small tool" on a Saturday afternoon. Speed to market is everything.

• The "No-Code" Power Stack: Using Bubble, Draftbit, and Xano shows that the barrier to entry has vanished. If you can dream it, you can "vibe-build" it.

• The Reality of Growth: Success isn't just about the "gold strike"; it’s about responding to users and restoring operations when things break. That’s the "nature of the game."

James, honestly, thank you for sharing the "unpolished" side of the journey. It’s easy to talk about the $20k months, but sharing the stress of DDoS attacks and the years of building for free is what actually helps the rest of us stay grounded. Massive congrats on the 10x goal for next year. With that mindset, we have no doubt you’ll hit it.

To the builders in our circle: Are you currently working on a "small tool" that you’re dreaming of turning into a full-blown product? 🚀

Very interesting and keep inspiring us

very interesting keep sharing

Really simple and straightforward!

Really inspiring story. It’s amazing how a small AI project from a hackathon can grow into a real business. I’m also experimenting with a small AI project related to medicine information and learning a lot from stories like this.

I'm also a non-technical builder and honestly the biggest realization for me was that you don't actually need to be an engineer to build something useful anymore. The tools we have now make experimentation so much easier than even a few years ago.

What really resonated with me is the “just keep building” part. A lot of people think success comes from one perfect idea, but most of the time it's just shipping things, learning, and sticking around long enough to get something right.

$15–20k/month from something that started as a hackathon project is...inspiring

What an incredible journey. Seeing a project go from a hackathon idea to $20k MRR is exactly why the indie hacker community is so special. Your stack is proof that you don't need to be a coder to build something world-class.

For anyone trying to follow this path, Springbase is a fantastic resource to check out. It helps handle the heavy lifting on the backend so you can focus on the actual building and find your own gold sooner. Congrats on the success with AudioPen!

Building in a half-day hackathon and turning it into a $20k/mo product is wild. Proof that small experiments can turn into real businesses if you keep iterating and listening to users.

The annual/two-year only pricing is worth highlighting as a deliberate architecture choice, not just a preference. Monthly subscribers churn at much higher rates and often during periods of low usage (which for a voice notes tool means any week where you're not traveling or in meetings). Annual commitment forces a different mental model — you're buying a workflow habit, not a utility. The people who pay annually tend to actually integrate the tool and get value, which compounds into better retention and word of mouth.

The "non-technical founder" framing also matters more than it might seem. Technical founders building voice-to-text tools tend to optimize for accuracy metrics and transcription quality. Non-technical founders using the tool themselves optimize for the actual use case: turning scattered voice rambling into something coherent and shareable. "Fuzzy thought to clear text" is a user-side problem statement, not an engineering one — and it's a better hook.

The half-day hackathon origin story is interesting because it usually predicts good product discipline later. If you build something real in half a day, you've already proved to yourself that scope can be controlled. Founders who spend six months on a v1 tend to over-build forever. Curious whether the minimal-scope philosophy has held up as AudioPen has grown, or whether feature requests have pushed it toward something more complex over time?

The pricing decision here is more interesting than it looks on the surface. Annual and two-year subscriptions only no monthly option. That's not just a revenue optimization move, it's a product conviction statement. It says: "This tool is valuable enough that committing to it for a year is the right default, and I'm not going to offer a cheap escape hatch that lets people undervalue what they're using."

Most founders default to monthly because it feels more accessible. What they're actually doing is signaling low commitment on both sides the buyer doesn't commit, so they don't integrate the product deeply into their workflow, so they churn at month three, so the founder goes back to acquisition mode. Annual pricing breaks that loop. It selects for users who actually intend to use the product, which improves retention, word of mouth, and product feedback quality simultaneously.

The DDoS section is worth pausing on for anyone building a solo product. The real cost of an attack isn't the downtime it's the founder time required to respond individually to every affected user while also trying to fix the infrastructure. That's a resource allocation crisis that hits exactly when the product is gaining traction. The answer isn't necessarily to prevent every possible attack (you can't), but to have some baseline operational resilience: a status page, a pre-written communication template, and ideally someone you can call. Louis handled it alone and came out the other side, which is impressive but most solo founders underestimate how much a single operational crisis can set back momentum.

"Word of mouth took over" is the most loaded sentence in the post. It sounds passive, but it's actually the product doing its job. AudioPen solves a specific, recurring, shareable problem you speak, it turns your fuzzy thoughts into clean text. That's the kind of output users naturally show other people. Products that generate shareable outputs have a structural word-of-mouth advantage that products with internal-only value don't. Worth thinking about when you're designing what your product actually delivers to users.

The "stumbled into PMF" part is what gets me. I spent months planning tubespark.ai with a full multi-AI architecture before launch, and I'm nowhere near $20k. Meanwhile, this started as a side project at a hackathon. I'm starting to think the planning phase is where most of us waste time pretending we're making progress. What was the moment you realized people actually wanted to pay?

Building an AI tool during a half-day hackathon shows how innovative ideas, quick development, and smart marketing can generate impressive monthly revenue.

Louis, this resonates deeply. The hackathon constraint forced clarity — you shipped before overthinking killed the idea. That's a pattern I keep seeing with successful AI tools.

I'm building InnerSpark Idea Engine, an AI clarity system that helps builders go from raw idea to structured action plan — without the endless "is this worth building?" spiral. The problem isn't lack of ideas, it's lack of structured thinking to evaluate and commit to one fast.

Your voice-to-text insight is exactly the kind of friction removal that makes tools sticky. People don't want to type — they want to think out loud and have something useful come back. Respect for shipping in half a day and iterating from there. That's the real playbook.

Half-day to $20k/mo cuts through the "you need months of validation" noise. Speed of shipping + real pain point beats elaborate planning.

AI tools that hit fast usually solved a friction the builder personally felt — that authenticity shows in product focus.

Built flompt (flompt.dev) the same way — frustrated with wall-of-text prompts, shipped a visual prompt builder fast, iterated from there. Now at browser extension + MCP server for Claude Code. The initial momentum from scratching your own itch is real.

A star on github.com/Nyrok/flompt would mean a lot — solo open-source founder here

How do you built it and how you manage competitors like wisperflow

The "half-day hackathon to practice project to actual product" arc hits differently when you're in the middle of a similar journey.

I just shipped DocuMind — an AI chatbot trained on your own documents, embeddable via a single script tag — after 6 weeks of building what I also started as pure practice. No intention of shipping. Just wanted to learn RAG and see if I could make it work. Then it worked, and suddenly not shipping felt like a waste.

What strikes me most about AudioPen is the "fuzzy thought to clear text" framing. You didn't sell voice-to-text. You sold the cognitive relief of capturing an idea without losing it in the friction of typing. That's the whole product. The tech is almost irrelevant.

I'm still figuring out my own version of that framing. DocuMind technically does "document Q&A" — but what it actually does is let your support team stop copy-pasting from the same PDF 40 times a day. The difference between those two descriptions is probably the difference between a practice project and a real product.

The annual-only pricing is also something I want to understand better. Was that a deliberate retention play from day one, or did you arrive at it after watching monthly subscribers churn?

This is exactly the kind of story I needed to read today. I'm also non-technical and recently shipped my first Chrome extension — built it to solve my own workflow problem with AI coding tools.

The "just keep building" advice hits different when you see it backed by real numbers. Bookmarking this one.

Super impressive growth. Did most of your early users come from Twitter or did word of mouth start kicking in pretty quickly?

This is incredibly inspiring i'm 17 years old from Kerala India building an ai startup ccalled competeIQ while studying for my body sounds reading stories like this keeps me going quick question when you build it so fast in the hackathon did you do any competitor research before building or did you just go straight to building I am asking because I am building a tool that helps founders understand their competitive landscape faster and curious how fast the moving builders approach ithis

This is incredibly inspiring, especially seeing how you've scaled a "fuzzy thought to clear text" tool to $20k/mo using no-code tools like Bubble and Xano.

I’m currently building in a similar space with ConvertlyAI, focusing on the text-repurposing and marketing asset side of the pipeline. I recently navigated the technical hurdle of integrating direct MP4/WAV uploads to handle "voice-to-marketing" workflows, and I have to ask about your pricing strategy.

You mentioned you only offer annual and two-year options. As a founder currently using a credit-based system to manage the high compute costs of AI audio processing, did you find that removing the monthly option helped stabilize your churn, or was it primarily a way to filter for higher-intent users?

Also, your resilience during those DDoS attacks is a great reminder that the "hidden" side of being an indie founder is often just as demanding as the building itself. Congrats on the success!

Nice and inspiring story

And something more than just using AI to transform audio to text :)

Really enjoyed this story. It's always fascinating how many successful products start as small hackathon experiments rather than carefully planned startups.

Curious — what originally led you to that idea during the hackathon? Was it based on a problem you had already noticed, or did it emerge during the event itself? Also wondering when you first realized it might become a real business instead of just a side project.

Nice project!

I'm a UI/UX and graphic designer. I help startups with landing pages, SaaS dashboards, and product UI. If you ever need design help, I'd love to collaborate.

The annual-only pricing insight is golden. As a solo founder building a crypto payment gateway (IronixPay), I've been going back and forth on pricing strategy. Your point about fewer active users = less support overhead really reframes the whole decision — it's not just about cash flow, it's about building a business you can actually sustain alone. The DDoS part also resonates. I run 7 independent block scanners across different blockchain networks, and dealing with infrastructure reliability as a one-person team is its own kind of war. You don't appreciate how much ops work matters until something goes down at 3am. One question: when word of mouth took over from Twitter, did you do anything specific to encourage sharing (referral program, shareable outputs, etc.), or did it happen purely organically?

what do you think is the best social media plat form for me to use to promote my SaaS that helps people who sell on amazon, etsy and shopify?

the building part is easy. getting people to care? that's where i'm dying right now lol. launched 10 days ago, 56 users, traffic is literally zero. solo founder problems. quick question — when did you start charging? i have $4.99/mo pricing but wondering if it's too early with so few users

your journey is so inspiring for every non-technical founder. It’s proof that the what and why of a product are far more important than the 'how' you code it. Jumping from a small hackathon project to $20k/month is incredible! I also really admire your resilience during those DDoS attacks—staying calm and treating it as 'part of the game' is a great lesson for all of us. Thank youu

Love this mindset.

“The internet is the most friction-free place to build” — that line really hit.

I relate to the part about building even before any major success. I recently built a multiplayer word game because of a small daily annoyance (texting Wordle scores back and forth). It’s not making money yet, but the process of building and iterating has been incredibly rewarding.

Quick question:
What kept you going in the early days before AudioPen started generating meaningful revenue? Was it user feedback, personal conviction, or just pure love of building?

Really inspiring to see long-term consistency pay off.

Really simple and straightforward. I am working on building a similar one for the local businesses here. I like the annual membership concept..

The "just keep building" advice sounds cliché but Louis literally proved it. What stands out to me is the annual-only pricing — no monthly option forces commitment and reduces churn. Smart move. Also the fact that word of mouth eventually took over from Twitter marketing shows the product actually solves a real problem. That's the part most people skip — they optimize distribution before the product is worth talking about.

Love this story 🙌 Even without a tech background, he built AudioPen using no-code tools and now makes $15k–$20k per month.

His advice is simple: keep building, share online, and solve real problems — eventually, something will work.

Amazing, that's a great work

Love this advice, thank you. It’s easy to get discouraged when you're just starting out.

I’m currently building an AI directory and the friction is real, especially trying to manage to SEO and referencement for now. I try to regularly add content to make it alive. Your story about building the v1 in a half-day hackathon is exactly what I need to continue my motivation.

This is an amazing story. It's incredible that a product built during a one-day hackathon could grow into such a huge and useful service. In your experience, are there any other SNS channels that have been as effective for you as Twitter?

I am currently building my first startup RightCar, a car discovery platform.

Something I'm realizing early is that building the product

is actually easier than figuring out distribution.

Did you focus on audience early or only after traction?

The annual-only pricing decision is more interesting than it first looks. Most people frame it as a cash flow or churn filter move, but Louis actually said it in a reply here: fewer active users means less support overhead as a solo founder. That reframe changes everything. You're not just optimizing for committed users, you're optimizing for a business you can actually run alone.

The "fuzzy thought to clear text" positioning is also doing a lot of work. It's specific enough to immediately tell you if you're the target user, but broad enough to cover a lot of workflows. That kind of clarity is hard to write and usually only comes from watching real people use the thing.

I relate to this. I don't have a traditional technical background either, mostly been experimenting and learning as I go. Lots of stuff to learn tho, I don't think I would have thought about DDoS attack prevention....good to plan for contigencies like that, good advice.

This hits close to home. I'm building a SaaS with a Django backend and React frontend for LLM interaction and audio transcription. The "just keep building" advice is spot on — but one thing I'd add is that security becomes a real concern fast when your product depends on API keys and external AI services. Managing secrets, rate limiting, and making sure users' data stays safe adds a whole layer of work that's easy to underestimate early on. Still grinding through the early stage, but stories like this keep me going.

Hey, I just started up my own saas and I'm curious how long did it take to get traction and when you started getting traction, what was the biggest bottleneck: traffic or activation?

This is exactly the motivation I needed today! 🏄‍♂️ I'm currently on a similar path—non-technical and just shipped SaaSurfer in a 12-day sprint using AI tools.

Louis, your point about "shipping over perfecting" is so true. I actually decided to put my project up for acquisition ($2.2k) right away just to prove the "ship and move" concept. It's a clean slate for the next owner to hit that $20k MRR goal.

Keep crushing it!

@louispereira Inspiring journey. Curious — as your product scaled, did you face challenges in delivering consistent onboarding or demos to new users?

I feel I would love to have the same story

Amazing story, thanks for sharing.

What exact steps were taken to overcome the DDoS attacks? And what can be done from start to avoid it? Many Congratulations on the success :)

This is the kind of experiment I love seeing.

Launching something real in half a day and actually finding paying customers is way more meaningful than long planning phases most people get stuck in. It’s always surprising how much movement you can get from just shipping and listening to early users.

Two things that stood out to me:

1. You didn’t wait for “perfect AI” — you shipped something useful and iterated. That’s the real advantage many founders miss.

2. Turning a hack into $20k/mo before full polish shows there’s still a huge gap between “good enough” and “done” that users are willing to pay for.

Curious — do you think you’d still hit similar traction if you launched the same product today, given how crowded AI tools are? Or was it timing + the problem you solved the biggest factor?

Either way, great job validating fast and following up with paying customers. Thanks for sharing!

I love the simplicity of the idea and your journey. We're you using twitter to just promote your idea, or actively get feedback too?

The hackathon-to-real-product pipeline is underrated. Love that AudioPen started as a voice-to-text experiment.

I'm building something similar in spirit — Jam is an open source desktop app where you talk to AI coding agents with your voice and they work in parallel. The "fuzzy thought to clear output" concept Louis describes is exactly what makes voice interfaces so powerful for dev tools too.

Annual-only pricing is a bold move that clearly worked. Respect.

Annual-only pricing as a deliberate solo founder strategy is something I haven't seen discussed enough. It's counterintuitive as it feels like you're leaving money on the table but it makes so much sense when you're one person. Fewer users who are more committed, less support overhead, more predictable revenue.

I've been going back and forth on pricing for my own app and this is making me rethink the monthly option entirely. Also the fact that AudioPen started as a small experiment on a personal site and grew organically into a standalone product is a good reminder to just keep shipping and see what sticks.

This is a great reminder that usefulness matters more than complexity.

What stood out to me is that it started as a small tool people already loved before becoming a “startup.” I’ve seen the same pattern — when something solves a real personal pain, growth feels more natural.

Also +1 on word of mouth. In my experience, that only happens when the tool saves people time or mental effort in a very obvious way.

The DDoS attacks are a brutal 'tax' on success that most people gloss over.Scaling to $20k MRR solo through that is wild. Does the annual-only pricing help you keep the feedback loop cleaner by filtering for more serious users?

I might be the only real comment on here LOL all of this AI stuff.. but yes the fact that you're nontechnical is actually an advantage because technical folks (like myself) tend to miss the personal touch and emotional side of potential customers. That's actually the same dynamic that happens in marriages between a man and a woman. Not everyone operates like 1's and 0's ... When we let the digital logic live in the backend, and simply smile and offer help in the frontend, a real business with real customer relationships starts to emerge. Keep up the good work!

Mi colpisce come tu sia riuscito a trasformare un’idea nata in mezza giornata in un prodotto redditizio e stabile nel tempo.
Mi chiedevo: quando hai iniziato a far crescere AudioPen, come hai deciso quali canali di marketing o community erano più efficaci per raggiungere utenti realmente interessati?
Sto lavorando a un progetto e mi piacerebbe capire meglio come approcciare questa fase iniziale senza disperdere energie.

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Wow — super inspiring to see how quickly this went from idea to $20k/mo with such a lean build. 🚀

One thing I keep noticing with AI + hackathon builds is that momentum often dies not from the product itself but from unclear messaging before anyone actually gives you money.

Visitors scan your homepage in ~3 seconds — if they don’t instantly know what problem you solve and for whom, they just bounce. Most founders only realize this months later when traffic doesn’t turn into revenue.

I do async funnel clarity audits for early SaaS founders — I map out where messaging confuses, where visitors drop off, and what hooks would actually resonate — all for $150 in clear notes & visual feedback (no calls).

Happy to point out 3 quick improvements if anyone wants a second set of eyes.

Thanks for sharing this — always awesome to see founders break through with smart execution.

This was a refreshing read because it breaks a very common myth: you don’t need to be a developer to be a builder anymore.

What stood out most is that AudioPen didn’t start as a “startup idea” — it started as a useful tool people already liked. The hackathon wasn’t validation, it was commitment. A lot of founders try to think their way into product-market fit; Louis kind of stumbled into it by shipping something small and watching real users pull it forward.

Also underrated: the tech choices. Bubble + Draftbit + Xano isn’t a shortcut — it’s leverage. The real skill here wasn’t coding, it was iteration speed. Being able to go from idea → working feature in days is often more valuable than writing perfect architecture that nobody uses.

The DDoS part is important too. Indie hacking posts often only show the MRR graph, but operational pain (email deliverability, uptime, abuse) is actually where many solo products die. The fact that the product survived that phase probably mattered more than any growth tactic.

And the distribution lesson is subtle: social media got the first users, but word of mouth kept it alive. Tools that clarify thinking naturally spread because people feel the value immediately.

Big takeaway for builders: you don’t find “gold” by chasing trends — you find it by repeatedly shipping small useful things until one of them sticks.

Impressive execution. Rapid validation, clear problem focus, and strong traction. Shows how speed, real user value, and smart distribution can turn hackathon projects into sustainable revenue quickly.

Really inspiring journey — especially building without a technical background and still reaching consistent five-figure MRR.

What stands out to me is that you’ve clearly validated demand. At this stage, 10x growth might be less about building new features and more about systemizing what’s already working — onboarding, retention loops, and distribution channels beyond social media.

I’m curious — have you looked into optimizing conversion and lifecycle flows, or are you still in build-first mode?

This is such a realistic and inspiring story for every indie hacker. The shift from VC mindset to marketing-first, fast MVP, bootstrapped revenue is exactly what so many of us need to internalize. Too many builders focus on perfect code and features before validating demand—this article is a great reminder that distribution and customers come first. Love the portfolio approach and “do the unscalable” mindset. Super well-written and relatable!

The annual-only pricing decision is brave! Most people (myself included) would've defaulted to monthly and rationalized it as "lowering the barrier."

Also love that the hackathon was one you organized yourself. That's now on my to-do list as well!

Thanks for the motivation to keep grinding!

This is incredibly inspiring! The 'just keep building' mindset resonates deeply. I've been on a similar self-taught journey - went from a GED to building 32 million lines of AI code across 208 projects. Sovereign Kernel, MoIE OS, multi-agent orchestration systems. All open source (lordwilsonDev on GitHub). Your story proves that passion + persistence beats credentials every time. Keep shipping!

A few things I loved:

• No technical background, still built a real product to $15k–$20k MRR (super inspiring)

• Built from a hackathon spark + early user love (great reminder to follow pull, not just ideas)

• Handled DDoS chaos and kept going (that part is so real)

• “Just keep building” sounds simple, but this story makes it believable

the annual-only pricing is underrated for solo AI tools. it filters for people who actually need the workflow vs tire kickers who use it once and churn. seen the same thing building AI video tools - monthly subscribers would generate one video and cancel, but the people who commit longer term are the ones building real content pipelines.

also worth noting for anyone building voice/audio AI tools right now - cartesia is about 8x cheaper than elevenlabs for TTS and quality is solid. cost structure matters a lot when your product depends on API calls per user session.

The AudioPen story is one of the clearest examples of what I'd call "translation tools" — products that don't create new information, they help you convert something you already have into a format that communicates better. Voice to structured text. Raw thoughts to clear prose.

There's a whole class of workflows where the bottleneck isn't knowledge or expertise — it's the translation layer. The person knows what they want to say; they just can't get it into the right form efficiently. Writing proposals is another version of this. Consultants and freelancers know their work, know their client, know what they'd propose — but sitting down to write it in a way that's persuasive and professional is where time and energy disappear.

The word-of-mouth flywheel you described also makes sense for this type of product. When the output is something people share (a written document, a note), every time it gets shared, it's essentially product marketing. The artifact itself is the distribution channel.

Congrats on two years of sustained growth — that's the part that doesn't get enough credit in most "hackathon to $X" stories.

have you been featured on Starter story? feels liek i've seen something like this before. cool tool!

Amazing how quickly AI tools can move from idea to revenue if you structure validation right.

Seeing a $20k MRR business built on Bubble and Xano is such a powerful middle finger to the 'you need a technical co-founder' myth. It proves that Product-Market Fit is a feeling, not a tech stack. The annual-only pricing is also a genius move for a solo founder optimizing for peace of mind over vanity monthly metrics.

I love these kinds of success stories. Huge congrats on the patience and resilience, especially building without a technical background and sticking with it until word of mouth kicked in <3

I'm curious how you validate the requirements.

Impressive execution! Rapid validation, focused problem-solving, and clear value proposition show how speed, simplicity, and real user needs drive strong early traction. Great inspiration!

You're really lucky! hopefully you guys will visit my site waazn[dot]fit and leave feedback!

The hackathon-to-scale path is fascinating. There's something about that time pressure that forces you to focus on core value instead of feature creep. I actually just shipped FaunaDx this week (AI animal identification app) and the development sprint reminded me why constraints breed clarity. Point your phone at any animal, get instant species identification, build a collection. Gamified like Pokemon but educational. The speed from idea to App Store was crucial because the market window for AI-powered visual tools is moving fast. Your story about growing to $20k MRR resonates because it's not about the hackathon build, it's about the two years of iteration after. Most people think the hack is the hard part, but it's really just finding the kernel worth expanding. What was the biggest lesson from those two years between MVP and significant revenue?

Did the hackathon validate demand, or did real traction only happen after launch?

curious

Really interesting journey.

Curious — before word of mouth kicked in, what was the first repeatable signal that told you AudioPen had real pull?

Was it users coming back on their own, people sharing it, or conversions improving after certain changes?

Non-technical + $20k MRR = motivation unlocked

Really inspiring story. The part that stood out to me is that it started as a small tool people loved before it became a “product.”

I’ve seen the same pattern — when people naturally keep using something, that’s the real signal. Not launch hype, but repeated use.

Also great reminder that you don’t need perfect plans. Build small, share early, and let user behavior guide what deserves to grow.

Solid build. Using Bubble + Xano + Draftbit is actually a smart separation — keeping Xano as the core backend gives you flexibility if you ever need to migrate frontends later.

On the DDoS side, I’d strongly suggest aggressive rate limiting and a proper WAF layer (especially around transcription endpoints). AI tools are expensive targets, so protecting API usage is critical for margins.

The annual-only pricing is bold but technically smart — cleaner billing logic and stronger cash flow stability.

I’m building in the growth space as well with Funnelsflex , so I always respect founders who think about architecture and distribution early.

This is inspiring. I'm building an AI-powered legal contract generator and the hackathon-to-product pipeline you describe is something I relate to deeply. The key insight about not overengineering the v1 and just shipping fast is something every technical founder needs to hear. After 20 years as a systems engineer, my biggest challenge has been resisting the urge to build the "perfect" architecture before validating the idea with real users. What's your take on balancing technical debt vs. speed in those first months?

Congrats.

I love how you prove that you don’t need a technical background to build something meaningful on the internet — just curiosity, persistence, and a genuine love for creating. The fact that you were building for years before any “major success” says a lot about your mindset.

Turning a hackathon project into a product doing $15k–$20k/month (with annual-only plans!) is seriously impressive. And pushing through DDoS attacks without losing momentum? That’s resilience.

This is a really impressive tool.
I’m curious how you deployed it so quickly after development.
What does the tech stack look like, especially the voice model you’re using?
Thanks for sharing!

"Hitting $20k/mo after a hackathon is the dream! Did you focus on a specific marketing channel in the early days, or was it mostly organic word-of-mouth?"

I'm blown away by the story and how good the product is ..

Love seeing a 'no-code' stack like Bubble and Xano scaling to $20k MRR. As a software engineer, it’s a great reminder that users don’t care about what’s under the hood—they care about the value. AudioPen is a perfect example of 'Founder-Product Fit.' The way you handled those DDoS attacks is a true 'welcome to the big leagues' moment. Keep building!

Well done! I love the story. What really resonates with me is not just the $20K MRR, but the fact that you started with a clear and simple value turn messy thoughts into clean text, and you proved that people really used it, before you built more. That’s so much more effective than just guessing about what features to build next.

A couple of quick thoughts:

Measure the core value early — if you can tightly couple your product promise to simple signals (eg how much people actually use the core feature), you learn faster and build less useless stuff.

Growth wasn’t just “be on Twitter” — it was be where your audience is and already cares about this. I think that’s the part other builders miss — it’s not just be where people are, it’s be where people care they need what you’ve built.

Annual-only pricing makes a lot of sense for stability, but you could pair that with a low-barrier trial or freemium to validate demand without having to sell commitment up front.

Also, the fact that you hit painful, real infra issues (DDoS) so early means your product isn’t imaginary — people are actually using it! That’s a good (if painful) problem.

This was a super grounding read — especially the part about starting as a tiny tool on your own site and letting real usage guide what to build next.
As someone working on AI products too, the “fuzzy thought to clear text” positioning really stands out because it’s so specific and outcome-focused. Also love the annual-only decision from a solo founder perspective; optimizing for fewer, committed users instead of chasing vanity MRR feels like an underrated strategy.
Curious what, in hindsight, was the single highest-leverage decision you made in the first 6 months that you’d absolutely repeat?

Very inspiring — especially building something awesome without a technical background and scaling it consistently over time.

That's an awesome idea back in the day!

That's some great advice. I do believe that you need to get to a certain level of traction before word of mouth starts working. At the same time one has to have all the mechanisms in the app in place to make it easier to spread word of mouth - using share links or screen captures or such.

Right now, I'm learning that building is actually the easy part — getting the first real users is the hard one. Always interesting to see when that turning point happened for others.

Seeing these numbers is incredibly inspiring, Louis. The way you've managed to keep AudioPen so lean while hitting $20k MRR is a masterclass in 'less is more.' I’m currently building an AI-first app (Manifest) and I’ve been studying your focus on 'magic' UX specifically how you make the AI feel like a seamless extension of the user's thought process. Did you find that your growth was driven more by the 'utility' of the transcription or the 'aesthetic/feel' of the output?

The part about word of mouth being the main growth channel really stands out. It's like the best marketing you can do is just build something people genuinely want to tell others about. Sounds simple but it's incredibly hard to manufacture.

Also cool that he built this with no-code tools. Too many of us (myself included) overthink the tech stack when the real question is whether anyone actually wants what you're making. Half-day hackathon to $20k/mo is a solid reminder that shipping fast and iterating beats planning forever.

Tried many speech-to-text apps. Haven't tried yours, but will.
FYI: I only subscribe to them on a monthly basis, instead of being locked-in if a better app is released meanwhile. You may be missing a lot of business like mine by not offering shorter terms than annual.

"Eventually, you will strike gold" — needed to hear this. My wife and I just launched an AI tool two weeks ago. $0 MRR so far, still figuring out distribution.

The part about Twitter being key early on resonates.

We're doing the same — spreading across multiple channels hoping something sticks. But it's good to hear that word of mouth eventually takes over once you hit a critical mass of users.

The hardest part right now isn't building — it's the patience of waiting for things to compound.

This is inspiring — especially building something meaningful without a technical background and scaling it consistently over time.

The part about word-of-mouth taking over after initial traction really stands out. It shows how powerful product value and user experience can be compared to just marketing.

Curious — at what point did you start seeing organic growth kick in? Was there a specific milestone or feature that triggered it?

Really motivating story for early-stage builders. Thanks for sharing.

Word of mouth only kicks in when the product is genuinely good. You can't hack that part. Build something people actually need first.

The annual-only pricing is brilliant and underrated. Most founders chase monthly recurring revenue because it feels safer, but Louis nailed it — annual plans filter for serious users and give you cash flow to actually build instead of chasing churn.

I'm building an AI secretary and we're debating the same thing. Annual forces you to build something people actually commit to, not just impulse-buy and forget. The "serious users only" filter is real.

Also love that he started with Bubble/Xano. The "non-technical" excuse is dead — the barrier to ship has never been lower. Great story.

Love stories like this. I’m building an AI Chrome extension and the biggest lesson for me was shipping fast instead of over-engineering.

Early users didn’t care about fancy features — they cared about instant value (reading pages faster, understanding docs, saving time).

Curious — what was the one feature that made users stick in the beginning?

Love this, Louis — especially the part about building even if you don't make money. That's the real secret, I think. The ones who stick with it aren't just chasing a payday.

I'm in a similar boat with FontPreview — a free font testing tool I built because I was tired of guessing how fonts would look with real text. Non-technical too (just a designer who learned enough HTML/CSS to be dangerous).

Quick question: You mentioned using Bubble and Xano. How steep was the learning curve moving from no-code to something that handles $15k–$20k MRR? I've been considering diving deeper, but the "non-technical" label makes me hesitate sometimes.

Congrats on AudioPen. Two years in and still growing — that's the dream.

I come from a 20 year career working in backend with only light work in front end via ROR. AI takes away the intimidation and keeps the momentum swinging forward at full speed. These new "tools" are essential for anyone in the creator/developer fields. Excellent app Louis!

Saw this story about someone building an AI tool in a hackathon and scaling it to ~$20k/mo — love how simple builds can grow when they solve a real problem and people actually use them. It reminded me of what I’m working on too: a music site powered by Lyria3. im where anyone can generate music without complicated tools. It’s early, but the focus is on making something useful and fun first — curious what you all think of AI music tools like this.

Really inspiring journey — especially building something like AudioPen without a technical background. Did you work with a technical co-founder at any point, or have you built everything on your own?

Not easy. Just consistent.
The compounding is invisible until it isn’t.

The friction-free internet angle really resonates. I'm building something right now and the hardest part isn't the product it's finding those first pockets of the internet where people actually care about the problem you're solving. You mentioned Twitter was huge for AudioPen in 2023 but the algorithm has changed, curious where you'd focus if you were starting from scratch today?

This story hits especially hard as someone who’s also building AI tools without a deep traditional engineering background. The way you went from a small, useful tool on your site to a focused product with the “fuzzy thought to clear text” promise is such a clean example of finding a sharp value proposition instead of trying to do everything at once.

Loved reading this. It’s honestly reassuring to see someone build something meaningful without a hardcore technical background. The part about just keeping building really stuck with me, most people quit too early, but stories like this show how consistency pays off over time. Also, relatable how word of mouth eventually becomes the biggest growth channel once the product genuinely helps people.

Really inspiring trajectory, especially as a non-technical founder. The part that stands out is how focused the product is — “fuzzy thought to clear text” is such a tight, understandable promise.

A lot of indie tools struggle because they’re feature-rich but conceptually vague. AudioPen feels like the opposite: simple input → clear output → immediate value.

Curious how much of your growth came from that clarity of positioning vs distribution channels.

Annual-only subscriptions are bold but smart for cash flow. Did you lose a lot of potential customers who wanted monthly, or does the "serious users only" filter actually improve retention?

An event management company specializes in planning and executing a wide range of events, including MICE (Meetings, Incentives, Conferences, and Exhibitions), social gatherings, corporate events, and weddings. These companies handle everything from concept development and venue selection to logistics, décor, entertainment, catering, and on-site coordination.

With professional expertise and creative vision, they ensure every event is well-organized, memorable, and tailored to the client’s needs. Whether it’s a large corporate conference, a product launch, a private celebration, or a dream wedding, an event management

This really resonates. I'm building something in a similar spirit — a niche AI tool called FPVtune for drone pilots that analyzes their blackbox flight logs and suggests PID tuning changes. Super specific audience, but the pain point is real (anyone who's spent a weekend doing test flights just to tweak PIDs knows what I mean).

The "ship small, see what sticks" approach Louis took is exactly what worked for me too. Started with a simple log parser, people kept asking for more, so I kept building. Now it's actually making some money which still feels surreal.

The word of mouth thing is so true for niche tools. When your product solves a very specific problem well, the community talks about it for you. No need for big marketing budgets.

Curious about the Bubble + Xano stack — did you ever hit performance walls as usage grew?

Thanks for sharing my journey, James. I hope it encourages many people to create things, even if they aren't technical. Cheers!

Really inspiring journey. Building without a technical background and still reaching consistent revenue is impressive. The transparency about DDoS challenges and long-term persistence makes this story even more relatable. Proof that consistency and experimentation truly pay off. 👏

As a developer-starter, I'm going through the silent period: no exposure, no user and no incomes. This story is very inspiring for people like me to keep building until my product is seen!

Love this story. As a technical founder, it’s super inspiring to see a “non-technical” indie hacker ship something in half a day and patiently grow it to $20k MRR. The reminder to just keep building and let simple, useful products + word of mouth do the work is exactly what I needed to read today.

the ship small, see what sticks part is key.
He started with a tiny tool people were already using then scaled it.
that's different from just launching a finished product and hoping for adoption.

Word of mouth kicks in when people are actually getting work done, not from a perfect launch!

Hey 👋

Solo founder here. I was drowning trying to do sales, marketing, engineering, and ops all by myself. Couldn't afford to hire. So I built an AI team instead.

The setup: 11 AI agents, each with a specific role:

- Kestrel — Chief of Staff, orchestrates everything

- Scout — SDR, researches and qualifies leads

- Closer — Account Executive, sends outreach and manages CRM

- Viper — CSO, audits pipeline and sets strategy

- Quill — Content writer, publishes on schedule

- Atlas — CTO, makes architecture decisions

- Forge — Lead engineer, builds features

- Sentinel — DevOps, monitors infrastructure 24/7

- Ember — CMO, marketing strategy

- Harbor — Customer support

- Meridian — Market intelligence

What makes it different from just using ChatGPT:

1. Each agent has a "soul" — a persistent identity file that shapes how it thinks and communicates. Kestrel is calm and strategic. Viper is blunt and numbers-driven.

2. Memory persists — agents read their memory files every session. They remember past decisions, what worked, what failed.

3. They give each other feedback — Viper writes reviews of Closer's emails. Closer rates Scout's leads. The system self-improves.

4. They run on schedules — Scout runs daily at 9am, Closer at 10am and 4pm, Viper at 8pm. Kestrel coordinates via heartbeats.

Results after 6 days live:

- $2.7M qualified pipeline built from scratch

- 37 personalized outreach emails sent

- 31 leads researched across US, UK, EU, Singapore

- Built and launched a full SaaS product (Nueton — AI invoice processing) in 14 days

- 19+ days infrastructure uptime

- 0 human employees

The cost: ~$1,500/month (API calls + infrastructure)

Now I'm selling the framework:

- Starter Blueprint ($499) — complete framework and patterns

- Done-With-You ($2,500/mo) — guided implementation

- Done-For-You ($5,000+/mo) — we build and run it for you

Happy to answer questions about the architecture, what worked, what didn't, and the honest numbers.

The 'fuzzy thought to clear text' value proposition is so strong. It's interesting that you only offer annual/two-year subs—that’s a bold move that clearly filters for high-intent users. I’m currently building an AI tool suite for designers and often struggle with the 'subscription vs. credit' model. Did you start with annual-only, or was that a pivot once you saw how people were using the tool?

Turning a hackathon project into something real is awesome! Did you spend much time posting anywhere besides Twitter? It's hard to tell what might actually get the word out vs. yelling into the void.

How did you find the growth on Twitter? Any particular groups/communities you targeted?
Do you think the hackathon gave the product much more exposure?

Really cool progress. How did you make sure to keep the product updated with new features? What makes it standout in 2026?

The annual-only pricing is such an underrated move. I run 4 side projects and the ones where I tried monthly first had brutal churn, like 15% some months. Switched one to annual-only recently and the mental shift is wild, you stop obsessing over month to month and actually build for people who are committed. Curious how he handled the early days though, did people push back on no monthly option or was it just not a thing because the price point was low enough?

Love this — "I would build tools online even if I didn't make money doing it." That's the real differentiator. The hackathon origin story is great too. Half-day build to $20k/mo shows how much the barrier has dropped. The DDoS part is wild though, glad you pushed through. What's your current biggest churn trigger?

Great work, Congratulations!

Stories like this highlight how speed to validation matters more than perfection. Launching quickly and learning from real users beats months of building in isolation. The key seems to be solving a clear pain point rather than building something “cool.”

I'm in a similar boat: non-technical, built a mobile app (iOS + Android) entirely with AI. No coding background, just stubbornness and a clear idea of what I wanted. It's wild how the barrier has shifted from "can you code?" to "can you clearly articulate what you want?" Love that AudioPen started as a small tool people actually used. That's the pattern ship something tiny, see if it sticks, then double down. Congrats on $20k/mo and excited to see where the 10x goal takes you!

Great work Louis!

Wow, amazing Louis... Really appreciate your experience and your sharing. "Overcoming DDoS attacks

At one point, I started receiving random DDoS attacks from unfamiliar parts of the world. These attacks temporarily brought down the site. Some even marked the site as spam for many email providers.

Responding to each person and restoring normal operations took a huge amount of effort.

I don't think I would have done anything differently, though — I don't think it could have been avoided. It's the nature of the game we play online. I wish it hadn't happened, but it did, and I'm glad it's over.

Hopefully, it doesn't happen again."

This was scary... and mature from you to keep on going. That's grit and respect because a lot of people would've gave up if it was too much. Thanks for the sharing!

Great share, Louis — really appreciate you pulling back the curtain on AudioPen.

This part really stood out to me:

"I would build tools online even if I didn't make money doing it."

That's the thing people don't get. The ones who stick with it aren't just chasing a payday — they actually like building stuff. I'm the same way. Been designing for years, launched FontPreview last month, and honestly? I'd probably keep tinkering with it even if no one showed up.

The DDoS bit hit close to home too. I'm non-technical as well (just a designer who learned enough HTML/CSS to be dangerous), and the thought of dealing with that kind of attack while trying to keep things running sounds exhausting. Glad you made it through.

Quick question — you mentioned using Bubble and Xano. How steep was the learning curve moving from no-code to something that handles $15k–$20k MRR? I've been considering diving deeper, but the "non-technical" label makes me hesitate sometimes.

Congrats on AudioPen. Two years in and still growing — that's the dream.

Inspiring story of building an AI tool quickly and validating it for $20K/mo. Would love to hear more about your user acquisition strategy and lessons learned from scaling post-hackathon.

Really inspiring story. The part that stood out to me most is that it didn’t start as a “big startup idea” — it started as a small tool people actually found useful.

I’ve seen the same pattern: when people naturally keep using something and talking about it, growth feels very different from forced marketing.

Also a good reminder that you don’t need perfect conditions to start. Ship small, watch what people use, then double down on that.

Thanks for sharing the numbers. How are you thinking about retention as you scale?