Last Tuesday, I got a text from one of my beta users.
“I can’t believe I’m saying this, but I actually look forward to my weekly money check-in now.”
That’s when I knew we were onto something. Our product is designed to be a supportive guide for users on their financial journey.
The Origin Story
The Personal Problem
Okay, confession time. I’m a financial advisor who couldn’t stay consistent with my own investing.
Yeah, I know. The irony isn’t lost on me. I spent my days telling clients about dollar-cost averaging and the importance of consistent contributions. I’d show them charts about how investing weekly beats trying to time the market. I’d explain compound interest until they understood it cold. And then I’d go home and… not follow my own advice.
Not because I didn’t know what to do. I had all the knowledge in the world! I knew exactly which funds to invest in, exactly how much I should be contributing, exactly when I should be doing it. But knowing and doing are completely different things, aren’t they?
The shame of being a hypocrite ate at me. How could I coach others on financial discipline when I couldn’t maintain it myself? I’d invest for a few weeks, feel good about it, then life would get busy and I’d skip a week. Then two weeks. Then suddenly a month had passed and I hadn’t touched my investment account.
The Lightbulb Moment
The breakthrough came from the most unexpected place. I was watching my wife maintain her 400-day Duolingo streak, practicing Spanish every single night before bed. Rain or shine, sick or healthy, busy or not – she showed up.
Here’s the thing though: she didn’t actually WANT to practice Spanish every day. Some nights she was exhausted. Some nights we had dinner plans or were watching a movie. But she’d pull out her phone at 11:45 PM and knock out a five-minute lesson because she couldn’t break the streak.
I sat there thinking: why does a language learning app create more financial discipline than any financial app I’ve ever used? Why was my wife more committed to learning Spanish (something she rarely used) than I was to building wealth (something that would literally change my life)?
That question wouldn’t leave me alone. Why does a language app create more financial discipline than a financial app? What if AI could provide all of that – accountability, pattern identification, encouragement, zero judgment – for investing instead of languages? Such an AI could be truly empowering, helping users take control of their financial habits through accessible, personalized guidance.
The Hypothesis
I started thinking about what people actually need versus what financial apps actually provide. People don’t need more information about money. We’re drowning in information! Every podcast, YouTube video, and Reddit thread is packed with advice about investing.
What we need is accountability. Someone who notices when we disappear. Pattern identification – spotting the things we can’t see about our own behavior. Encouragement when we show up. And critically, we need to NOT feel judged when we mess up. Building strong financial habits is often more important than simply having more information, as consistent positive behaviors lead to better long-term outcomes.
What if AI could provide all of that? Not an app that tracks your spending and makes you feel guilty. But an AI that checks in, celebrates your wins, gets curious about your struggles, and helps you see patterns you’re blind to.
The First Prototype (Scrappy Beginnings)
Week 1: The Napkin Sketch
I literally sketched this on a napkin at a coffee shop. The core concept was stupidly simple: a weekly text that asks “Did you invest this week?”
If yes → Celebrate with them. Make them feel good about showing up.
If no → Get curious, not judgmental. Ask what got in the way. Understand the pattern.
Track the streak. Show them they’re building something.
That’s it. That was the whole product idea. No fancy features, no complicated dashboards, no spending categories. Just weekly accountability around one crucial behavior.
Week 2: The Technical Challenge
Building it was harder than I expected, but not for the reasons you’d think. The technical stuff – setting up the AI, creating the text interface – that was straightforward. The hard part was figuring out how to make AI feel like it actually cares.
Most chatbots feel robotic and transactional. “Task completed. Next action?” That wasn’t going to work for something as emotionally charged as money. I needed the AI to feel warm, supportive, genuinely interested in understanding each person’s unique situation.
I spent probably 40 hours just on the prompt engineering. Testing different phrasings, different tones, different response patterns. The breakthrough came when I shifted the AI’s role from “prescriptive advisor” to “curious friend.” Instead of telling people what to do, it asks questions to understand why they’re doing what they’re doing.
“Be curious, not prescriptive” became the core principle that guided everything else. This approach enables the AI to offer personalized advice tailored to each user’s unique financial situation.
Week 3: Testing on Myself
I set up my own Sunday 7 PM check-ins to test the system. The first conversation felt super awkward. I was literally typing to my own creation, knowing exactly how it would respond because I’d programmed it. Felt silly talking to a bot about my investing habits.
By week three though? I was actually excited for the check-in. Looked forward to reporting my progress, seeing my streak increase, getting that little celebration message. It sounds ridiculous, but it worked on me! And I built the thing!
That’s when I realized: this actually works. If it could create accountability for the creator who knows all the tricks behind it, it could definitely work for regular users.
Building in Public (The Development Journey)
Month 1: Adding Features
I started with just text reminders. Super basic. Sunday at 7 PM, you’d get a text asking if you invested. You’d reply yes or no. That’s all it did. These messages were crafted to encourage consistent investing behavior.
But users immediately started asking for more. “Can it track my streak?” Okay, added a streak counter. “Can I see my progress over time?” Sure, built a simple dashboard showing weekly check-in history. “Can I compete with my friends?” Alright, added an optional leaderboard.
Each feature felt like it earned its place by user demand, not by me thinking “what would be cool to build?”
The Pattern Recognition Discovery
Week six of building, I was reviewing user check-ins manually. Still had a small enough user base that I could read everything. And I noticed something: one user had mentioned “market anxiety” three separate times across different check-ins.
On impulse, I manually sent them an article about historical market volatility and why trying to time the market rarely works. They replied within minutes: “THIS IS EXACTLY WHAT I NEEDED. How did you know?”
That’s when it hit me – the AI could automatically spot these patterns! I didn’t need to manually review check-ins. I could build a system that analyzes the language users are using, identifies recurring themes or concerns, and automatically assigns relevant micro-lessons.
I built the whole pattern recognition feature that night. Couldn’t sleep until it was working. By analyzing individual user data, this enables the AI to deliver personalized insights that help users overcome their unique challenges. That single feature became one of the most valuable parts of the entire product.
The Gamification Pivot
I’ll be honest – I initially resisted gamification hard. My thinking was “finance is serious! People need to treat this like the important life decision it is, not some silly game.”
Then a beta user asked: “Why don’t you have achievements like Duolingo?”
My ego responded: “This isn’t a game. This is about building wealth.”
But then I looked at the data. Users with streak tracking were staying 3x longer than users without it. The psychology was undeniable. So I swallowed my pride and added achievements, XP points, and level-ups. Made it feel more like a game. These features help users stay motivated by achieving their financial milestones, which encourages continued engagement and better financial habits.
Engagement doubled overnight. Like, literally doubled. Turns out making something fun doesn’t make it less effective – it makes it more effective because people actually stick with it. Who knew? (Everyone knew. I was just being stubborn.)
Early User Stories (The Validation)
Let me tell you about three users who proved this concept worked. Engaging with customers through personalized communication has been key to the product’s success, helping to accelerate cash flow and improve collection rates.
User 1: "Sarah" - The Forgetter
Sarah signed up enthusiastically and then immediately missed her first three check-ins. I watched it happen, worried the product just wasn’t working for her.
But the AI identified the pattern in her responses: “You’ve mentioned forgetting to check in several times. It sounds like you want to invest consistently but need better systems.”
It automatically assigned her a micro-lesson about building automatic systems. She read it, set up SMS reminders in addition to the app notifications, and boom – nine-week streak. Building a regular saving habit was crucial to her progress, helping her stay on track and reach her financial goals. Invested $1,400 over those nine weeks when she’d previously invested maybe $200 per quarter.
The system worked without me intervening at all.
User 2: "Marcus" - The Market Timer
Marcus would only invest when he “felt good about the market.” Which basically meant he invested after good news and avoided investing after bad news. Classic buy-high, avoid-low behavior that destroys returns.
The AI spotted the pattern in week four. Every time Marcus said he didn’t invest, he mentioned market conditions or recent news. The system assigned him a lesson: “Why Market Timing Fails 99% of People” with historical data showing how consistency beats timing.
Something clicked for him. He shifted to dollar-cost averaging – investing the same amount every week regardless of headlines. Having a clear investment plan helped Marcus stay consistent, sticking to his strategy no matter what the market was doing. Started investing during scary weeks, calm weeks, volatile weeks. Didn’t matter. He just showed up.
Result? Actually building wealth instead of trying to outsmart the market.
User 3: "Jamie" - The Leaderboard Competitor
Jamie didn’t care about achievements or streaks at all. Seemed immune to the gamification. Then she saw the leaderboard feature and became absolutely OBSESSED.
Went from investing $50 per week to $200 per week specifically to rank higher. The leaderboard helped her achieve her personal investing goals by motivating her to increase her contributions. Her quote still makes me laugh: “I’m literally investing more money to beat strangers on the internet who don’t know who I am.”
Is that rational? Not really. Did it work? Absolutely! She invested $3,200 in twelve weeks versus her previous average of $600 per quarter. The competitive psychology worked even though she knew it was silly.
The Unexpected Discoveries
Building this product revealed things I never could have predicted.
People text back like it’s a friend. They’ll say things like “I’m so sorry, I lost my job, can I pay next week?” or “Thank you for understanding.” They’ll even ask for advice or share personal stories.
This approach helps foster strong customer relationships built on trust and support.
People Text Back Like It's a Friend
I expected short answers. “Yes, invested $150.” Done.
Reality? People send paragraphs of context. “I’m really stressed about rent this month, my landlord raised it $200 and I’m trying to figure out if I can still invest my usual amount or if I need to cut back temporarily.”
Or: “Got a raise! Really excited but also not sure where to invest the extra money. Should I increase my weekly amount or open a Roth IRA?”
Or: “Market dropped 3% today and honestly I’m panicking a bit. Should I be worried?”
The AI became their judgment-free financial therapist. A safe space to admit fears, ask “dumb” questions, express anxiety without worrying about being judged. That’s something I didn’t design for but emerged naturally from the non-judgmental approach.
SMS Open Rates Are Insane
When I first built reminders, I used email. Industry-standard approach. The open rates were about 20% – totally normal for email reminders.
Then I added SMS reminders as an option and the numbers exploded. 98% open rate! Nearly everyone who gets a text opens it within an hour. That’s insane compared to any other channel.
I immediately integrated Twilio properly and made SMS the default option. Now over 80% of new users enable SMS notifications, and the check-in completion rate is dramatically higher than the email-only days. These results make a strong business case for using SMS as the primary communication channel, given its effectiveness and impact on improving response rates.
Streaks Are More Powerful Than I Imagined
I thought streaks would be a nice motivational tool. Turns out they’re incredibly powerful.
One user with a 42-week streak got married. During his honeymoon week, he still did his check-in. From the beach. At midnight on Sunday because they’d been busy all day.
His quote: “I wasn’t breaking my streak for anything. My wife laughed at me, but she got it. That streak represents 42 weeks of discipline. I’m not throwing that away.”
The emotional investment in maintaining streaks is way stronger than I anticipated. People will rearrange their schedules, set alarms, do whatever it takes to not break the chain.
Competition Works (Even in Private)
I thought leaderboards would feel gross for money. Like, who wants to compete over financial behavior? Seems tacky.
Reality? 40% of users opt into the leaderboard feature. They use anonymous usernames to maintain privacy, but they love seeing where they rank. Top 10 users average $400 per week invested. But here’s what really matters – the bottom 50% of leaderboard participants still average $120 per week, up from $80 before the leaderboard existed.
Even people who aren’t winning are investing more because they’re in the game. All users benefit from the increased motivation and engagement that the leaderboard provides.
People Want to Share Their Wins
I built shareable progress images as a polite feature. Like, “eh, maybe some people will want to share their achievements on social media.”
I expected it to be rarely used. Reality? 25% of users share at least once. They’re posting their streaks, their achievements, their weekly consistency to Instagram stories and Twitter.
And here’s the beautiful part – their friends see it and ask “What app is this?” Built-in viral loop. Word of mouth from people genuinely excited about their progress. These real world results show how effective the product is in driving engagement and success.
The Technical Challenges (For the Nerds)
Let me get nerdy for a minute about the hard technical problems. Building this as a solo founder means I don’t have a team to collaborate with, which is both a challenge—since I miss out on the diverse perspectives and shared workload a team provides—and an opportunity for rapid iteration and direct decision-making.
Challenge 1: Making AI Feel Human
Early versions felt way too robotic. “Your investment has been logged. Current streak: 3 weeks.” Technically accurate, emotionally flat.
The solution was extensive prompt engineering and giving Claude context about each user’s previous check-ins. Now the AI references things you mentioned two weeks ago, recognizes emotional cues in your language, and responds in ways that feel genuinely conversational.
Multiple users have told me they forget it’s AI. That’s when I knew we nailed it.
Challenge 2: Pattern Detection at Scale
When you’ve got 500 users checking in weekly, that’s 500 conversations to analyze. I can’t manually review every single one.
So I built a trigger system identifying ten common patterns: market anxiety, “forgetting” (avoidance), timing attempts, income uncertainty, expense conflicts, lack of knowledge, emotional spending, analysis paralysis, comparison stress, and motivation loss. These patterns represent key factors that impact users’ financial behavior, helping to provide a comprehensive view of their financial situation.
The AI analyzes text for keywords and sentiment, automatically assigns relevant micro-lessons based on patterns. About 70% of users actually complete the assigned lessons, which is way higher than I expected.
Challenge 3: Keeping It Fast
Claude API calls can take a few seconds, which feels like forever when you’re waiting for a text response. Users want instant replies.
Solution involved streaming responses so text appears as it generates rather than all at once. Also caching common patterns and responses. Now it feels real-time even though technically there’s processing happening behind the scenes.
Challenge 4: The Streak Freeze Feature
Problem: life happens. People travel, get sick, have emergencies. I didn’t want to punish users for real life interruptions.
Solution: one streak freeze per month. Use it when you need to skip a week without losing your streak. It’s like a safety net.
Users LOVE having it available. Interestingly, most barely use it – maybe once every few months. But knowing the freeze exists reduces anxiety about maintaining the streak. It stops feeling like this fragile thing that could break at any moment.
What I've Learned About Building Products
This journey taught me some lessons I wish I’d known earlier. Building this product has been an education in both technology and personal finance, highlighting the importance of financial literacy and continuous learning.
Start With One Thing
Version one was just weekly check-ins. That’s it. I constantly resisted feature creep. Every time someone suggested adding budget tracking or net worth calculations or spending categories, I said no.
Each feature addition had to prove its value first. Had to be something users were actively requesting, not just something I thought would be cool to build.
Users Will Tell You What They Need
The leaderboard wasn’t anywhere on my roadmap. Seemed too gamified, potentially tacky. Then fifteen users requested it within the first two weeks.
I built it reluctantly. It became the most-loved feature. Users know what they want better than I do. My job is to listen and execute, not assume I know best.
Emotional Design Matters
Early UI was bland and purely functional. Gray backgrounds, simple fonts, no animations. It worked, but it didn’t spark joy.
Then I added celebration animations when you complete a check-in. Achievement popup graphics. Progress bars with satisfying visual feedback. Little touches that make it feel more alive.
Retention jumped 15% after those changes. Emotional design isn’t frivolous – it’s essential.
Gamification Isn't Shallow
I had this initial bias that gamification was manipulative or shallow. Like I was tricking people into doing things through psychological tricks rather than genuine value.
Reality check: it makes boring things fun. And finance IS boring for most people! Streaks make it exciting. Achievements give people milestones to celebrate. Competition adds engagement. Gamified approaches can transform budgeting from a tedious chore into an engaging and rewarding experience by motivating users with challenges and rewards.
The results speak for themselves. People are building real wealth through these “game mechanics” that I initially dismissed.
AI Is Ready for This
Claude’s conversational abilities are genuinely magic. The pattern recognition works surprisingly well without me manually training anything. Users trust it more than I ever expected – they share vulnerable financial information with an AI because it feels safe and non-judgmental.
We’re in the golden age of AI applications. Five years ago, this product couldn’t have existed. The technology just wasn’t there. Now? It’s not just possible – it’s exactly what AI is perfect for. AI-powered tools are expanding access to financial guidance for people who might not have had it before.
The Current State (Metrics)
Let me give you the current numbers, because data matters.
500+ beta users and growing steadily through word of mouth. 70% check-in completion rate, which is wild considering industry average for financial app engagement is around 30%. People are actually showing up week after week.
8.2 week average streak length. Most of these users had zero consistency before starting. Now they’re averaging over two months of consistent behavior.
$175 average weekly investment, up from their previous baseline of $80-100. That’s not just more money invested – it’s proof of sustained behavior change. Users are also building up their savings as a result of these consistent investing habits, which supports their long-term financial health.
4.7 out of 5 star rating from surveyed users. The complaints are mostly about wanting more features, which I’m taking as a good sign.
The Feedback That Keeps Me Going
Reading user feedback makes every late night worth it:
“This is the first time I’ve actually stuck with investing consistently instead of just talking about it.”
“The AI feels like it actually cares about my progress, which sounds crazy but it’s true.”
“I’ve learned more about my own money psychology in 8 weeks than in 2 years of reading personal finance articles.” The product is clearly helping users improve their financial literacy by making personal finance concepts more accessible and engaging.
“My 13-week streak is honestly my proudest accomplishment this year, which either says something great about the app or something concerning about my life.”
“Why isn’t this already a billion-dollar company? This should exist everywhere.”
The Challenges Ahead
Not everything is perfect. Real talk about what’s hard right now.
You’re not just competing against other startups, but also against teams of engineers at big companies. Larger businesses in the fintech space have significant resources and established user bases, making it challenging for smaller players to gain traction.
Technical Debt
I built fast and scrappy to validate the concept. Some of the code is honestly messy. It works, but it’s not pretty under the hood. I need to refactor significant portions before scaling much bigger.
There’s this constant tension between building new features users want and cleaning up the foundation. Both matter, but you can’t do both at once.
Monetization Anxiety
Currently charging $24 per month for early adopters with locked-in lifetime pricing. That’s working for now, but it won’t scale forever.
I’ll eventually need to add a premium tier with advanced features. Any new pricing structure will be transparent about fees, so users clearly understand all costs involved and can avoid unexpected charges. But I’m terrified of losing the mission in pursuit of revenue. How do I grow sustainably without becoming just another app trying to extract maximum dollars from users?
Scaling AI Costs
This is the big one. Claude API gets expensive at scale. Right now with 500 users, API costs are manageable but noticeable. At 10,000 users, I’m looking at potentially $5,000+ per month just in API costs.
Keeping expenses under control is crucial for sustainable growth, so I need to monitor and manage these costs carefully. I need to optimize prompts to be more efficient or figure out pricing that covers those costs without pricing out the people who need this most.
Competition
Traditional financial apps are huge, well-funded, and have massive user bases. Many competitors also offer portfolio management tools, allowing users to automatically manage and balance diversified investment collections to achieve financial goals. There are also VC-backed startups working in adjacent spaces. I’m a solo founder competing against teams of engineers.
It’s a race to product-market fit. Can I prove this model works and build a loyal user base before someone with more resources copies the concept?
The Vision (Where This Goes)
Here’s what I’m building toward.
10.2 The next step: coaching
The next step is to help people build consistent wealth habits, not just track their spending. The product is designed to help users with planning for a better financial future, enabling them to set strategic goals and make informed decisions that support long-term success.
10.3 The vision
The vision is to shift the industry from tracking to coaching. Effective planning and a focus on security—through robust data protection and privacy measures—are essential for long-term financial success.
Simple, focused products will beat feature-bloated dashboards every time. The vision is to empower users to take control of their financial future, helping them prepare, invest, and achieve their goals with confidence.
Short-term (Next 3 months)
Hit 2,000 users. That’s the inflection point where community effects really kick in.
Build a proper mobile app. Right now it’s web-based with SMS, which works but isn’t optimal.
Add social features like accountability partners. Let users opt into paired check-ins with a friend.
Integrate with actual bank accounts through Plaid so people can automatically log investments without manual entry.
Long-term (Next 2 years)
100,000+ users building consistent wealth habits through AI accountability.
A thriving community of people helping each other stay consistent and celebrating wins together.
Definitive proof that accountability beats information for financial behavior change.
Become the “Duolingo of personal finance” – the default way people think about building investing habits.
Bigger Picture
Change how people think about financial apps entirely. Shift the industry from tracking to coaching. From guilt to growth. From complexity to consistency.
Prove that AI can provide meaningful emotional support for behavior change, not just calculations and analysis.
Show that simple, focused products beat feature-bloated dashboards when it comes to actual results.
The Ask
Join Us
I’m currently accepting new beta users. Early adopter pricing is $24/month locked in forever – that rate never increases even when we raise prices later.
First 100 lifetime spots are available for $299 one-time payment. That’s it, you’re in forever.
Link: Momentum
Feedback Welcome
This is still early and evolving. I personally read every single piece of feedback. Your input directly shapes what gets built next. Please include as many details as possible in your feedback to help us improve the product.
If you’ve got ideas, complaints, suggestions, or just want to tell me something isn’t working – email me directly.
Spread the Word
If this resonates with you, please share it. Tag someone who needs accountability around investing. Post it to your story. Forward it to a friend.
Help me prove this model works. The more people we get building these habits, the more we prove that consistency and accountability beat complexity and information.
Closing
A year ago, I had an idea on a napkin at a coffee shop.
Six months ago, I built a scrappy prototype and tested it on myself.
Three months ago, I launched a beta with 50 nervous users.
Today, 500 people are building wealth with an AI coach that checks in every week.
Tomorrow, I want that number to be 5,000. Then 50,000.
Not because I want to build a big company. Not because I’m chasing some exit or valuation.
Because I’m tired of watching people fail at something they know they should do. I’m tired of seeing smart people with good intentions struggle with consistency. I’m tired of financial apps that make people feel bad instead of helping them get better.
Consistency beats intensity. Always has, always will.
Accountability beats information. The research proves it.
Let’s prove it together. Let’s build a generation of people who invest consistently not because they’re perfectly disciplined, but because they have support that makes it easier. The ultimate aim is to help users set, track, and achieve their financial goals.
🔥 Don’t break the chain.
