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People Are Vibe-Coding Their Own Productivity Games

AI coding tools are making personalized productivity software cheap enough to build for one person's brain. That may extend the long tail of niche software.

ByGraham Mann12-min read

I keep seeing people build the same kind of app: not another SaaS, not another AI wrapper, but a weird little productivity game for themselves.

A to-do list where tasks are called quests. A habit tracker designed specifically to avoid streak shame. A dashboard that turns deep work into XP. A focus app with a pet, a tree, a monster, a fake currency, or some slightly embarrassing reward system that would make no sense to anyone else.

A year ago, most people would have downloaded Habitica, Finch, Forest, Beeminder, or another mainstream productivity app. Now they can open Lovable, Replit, Cursor, or Claude Code and make something more personal in an afternoon.

That sounds like a small shift. I don't think it is.

The interesting part is bigger than gamified productivity. It is the long tail of software getting longer because the cost to build small, strange, niche tools is collapsing.

Gamified productivity isn't new

We've had mainstream versions of this idea for years:

  • Habitica turns habits and to-dos into an RPG
  • Forest makes you grow a tree by staying off your phone
  • Finch wraps self-care in a pet you look after
  • Beeminder puts a bright red line on your goal and charges you if you fall below it

These products all try to answer the same question: how do you get yourself to do boring but important things consistently?

The usual answers are some mix of streaks, points, progress bars, accountability, loss aversion, and identity. Sometimes that works. Sometimes it just gives you a new thing to procrastinate with.

I don't mean that as a dunk on the category. Motivation is hard. Most people don't fail at goals because they never heard of a to-do list. They fail because the system stops matching the messy reality of their life.

What's changed

The interesting part is that personalized software has gotten dramatically cheaper to build.

Lately I've been seeing examples like Lovable-built consistency trackers designed to avoid streak pressure, to-do apps where every task is a quest, all-in-one personal dashboards with tasks and journaling and cost tracking, and systems that generate daily tasks from bigger goals.

The examples are not all polished. Some are probably fragile. A bunch will be abandoned in a week.

But they point at something real: these tools are not trying to be the best productivity app for everyone. They are trying to be the right app for one person's brain.

That is a different category.

For a long time, software mostly had to justify itself as a product. Even niche software still needed some kind of market: indie hackers, dentists, contractors, writers, gamers, accountants, whatever. There had to be enough people with the same problem to make the build worth it.

AI changes the math. If the build cost drops far enough, the audience can shrink. A market of 10,000 becomes viable. Then 1,000. Then maybe one person, if that person cares enough.

That is the part I find more interesting than the RPG skin. Productivity games are just an early visible example because productivity is personal, repetitive, and emotional. It is exactly the kind of thing where a tiny design choice can make the difference between "I use this every day" and "I ignore it after Tuesday."

Why the personalized versions might work better

Most productivity advice still assumes the problem is discipline. I don't think that's usually the whole story. The problem is often mismatch: the system doesn't fit the person.

That is basically James Clear's systems point in Atomic Habits: "You do not rise to the level of your goals. You fall to the level of your systems." If the system keeps failing, the answer is not always to yell at yourself harder. Sometimes the system is asking you to behave like a cleaner, more consistent person than you are on a normal Tuesday afternoon.

Another line from my notes on Atomic Habits fits the custom software angle too: "Every action you take is a vote for the type of person you wish to become." That's useful here because a personalized system can reinforce identity in a way a generic to-do list usually can't.

A generic task app mostly tracks obligations. A weird personal system can make you feel like the kind of person who never misses a writing session, earns deep work XP, protects momentum, or refuses to let the little dashboard die.

That sounds silly. But silly is underrated if it gets the behavior.

Self-Determination Theory gives a cleaner framework for why this might work. People tend to do better when a system supports autonomy, competence, and relatedness.

Mainstream apps are usually good at competence. You completed the habit. You kept the streak. You leveled up.

Custom systems can also optimize for autonomy because you get to decide the rules. Sometimes they create a bit of relatedness too, whether that's a friend checking your score, a shared challenge, or just the feeling that the system was built in your own language.

That last part matters more than most productivity software people admit. The language of a system changes how it feels to use. "Write 500 words" and "finish today's dispatch" are functionally similar, but they don't hit the same part of the brain.

The part mainstream apps still get right

I don't want to oversell the custom side. The mainstream apps have durable advantages.

Habitica gives you an RPG wrapper out of the box. Forest gives you a dead-simple focus mechanic with a strong visual consequence. Finch makes self-care feel gentle instead of punitive. Beeminder is still the most honest product in the category. It basically says: here's the line, stay above it, or pay.

That works because it leans into loss aversion instead of cute motivation theater. People hate losing more than they enjoy winning.

The custom systems are not replacing these apps so much as borrowing from them. They take the same ingredients and rearrange them around one person's psychology.

That is where the broader software point comes back in. Mature products are good because they have survived millions of interactions. They have defaults, edge cases, onboarding, support, polish, and trust. Personal tools are good for the opposite reason: they can ignore almost everyone else's needs.

The old software tradeoff was basically polish versus fit. AI makes it easier to choose fit, at least for small tools.

Why AI-built systems are interesting

BJ Fogg's behavior model says behavior happens when motivation, ability, and a prompt show up at the same time.

Most gamified apps obsess over motivation. The better ones also reduce friction and create clearer prompts.

That's another reason these custom AI-built systems are interesting. The reward loop can be personal, and the workflow can be personal too.

Maybe your app only has three buttons. Maybe it texts you at the right time. Maybe it turns one recurring task into a daily quest and hides everything else. Maybe it only shows the metric that actually gets you to act.

That can matter more than adding badges.

We're moving from software as a finished product to software as a personal environment. That sounds a little grand, but I think it's the right direction. If AI makes it easy to build software for an audience of one, productivity is one of the first obvious categories where that matters.

Because it's repetitive. Because it's emotional. Because the difference between "works for me" and "doesn't work for me" is often surprisingly small.

Where this breaks

I don't think the bullish version of this trend is right. Not every weird custom system is secretly the future. A lot of them will fail for the same reasons the mainstream ones fail.

1. People optimize for the game instead of the work

This is the oldest failure mode. You stop asking, "Did I do something meaningful?" and start asking, "How do I keep the streak alive?"

That's how you end up farming XP instead of producing output.

There's a line from my Atomic Habits notes that fits here too: "The purpose of setting goals is to win the game. The purpose of building systems is to continue playing the game." A productivity game works only if it keeps you in the work. If it becomes the work, the game won.

2. Novelty wears off

A lot of these systems work for a week because building them was motivating. Then the emotion fades, and now you have a custom app to ignore instead of a normal app to ignore.

That's still useful in one sense. You learned something about what doesn't work for you. But it is not the same as building a durable system.

3. The system becomes another project

This is especially true if you like building things. It is very easy to spend six hours tuning your motivation machine to avoid doing the two hours of work it was supposed to help with.

I've done enough workflow tinkering at this point to know that risk is real.

4. Personalized can turn fragile fast

Mainstream apps survive because they've been refined across millions of interactions. Your one-off app hasn't.

If the logic is too clever, or the rewards are too arbitrary, or the UI is slightly annoying, you'll abandon it because there's no social proof or product momentum holding it up.

5. It can treat distraction as a design problem when it's sometimes an emotional one

That part reminded me of a line from my notes on Indistractable: "Distraction is not about your environment or technology, it's about escaping discomfort."

That's a useful warning. Sometimes the right move is a better interface. Sometimes the right move is admitting you're avoiding a hard thing and no amount of XP will fix that.

The bigger shift: the long tail of software

The part I think is actually new is this: building personal software used to be too expensive.

You had to use the mass-market tool, cobble together a Notion template, or learn enough code to build your own thing properly. Most people stopped at the template stage because the jump from "I have a weird workflow" to "I can build custom software for it" was too big.

Now that jump is smaller.

That changes the design space. You can build something narrow, irrational, slightly cringe, and specific enough that no venture-backed company would ever prioritize it.

That matters because motivation is weirdly personal. Some people respond to streaks. Some hate them. Some need public accountability. Some need a private scoreboard. Some need a financial penalty. Some apparently need a cute bird.

The right answer is probably not one perfect productivity app. It is a much larger market of tiny systems tuned to specific personalities.

This is the long tail argument. When distribution got cheaper, we got long-tail media: blogs, newsletters, YouTube channels, podcasts, niche communities. When payments and infrastructure got cheaper, we got long-tail SaaS: tiny products for tiny markets that never would have justified a traditional software company.

Now the build cost is dropping again. That should extend the long tail further.

Some of the new software will still become companies. Some will be internal tools. Some will be personal toys. Some will be a folder of half-working experiments that only make sense to the person who built them.

I don't think that makes them less interesting. It might make them more interesting, because the constraint changes from "Can this support a company?" to "Can this make one person's life noticeably better?"

That is a much lower bar, but it is also a much larger surface area.

What I'd actually steal from this trend

I would not steal the RPG skin by default. I would not start with badges or fake coins either.

The parts worth stealing are simpler.

1. Identity

The best systems don't just track tasks. They reinforce a self-image.

That's why "quests" sometimes works better than "tasks," even though it is objectively corny. It changes the frame from obligation to progress.

2. Stakes

The system should create a consequence for drift. That doesn't have to be money like Beeminder, but it probably needs to feel like something.

A consequence can be social, visual, financial, or just emotional. The point is that the system should make drift visible enough that you notice it before the habit quietly dies.

3. Less friction

The system should reduce friction, not add it. If the game makes the work heavier, it's broken. If it makes starting easier, it might actually matter.

There's probably a fourth thing too: challenge. In my notes on Flow, the big idea is that satisfying work tends to sit in the zone where challenge and skill are matched. That's part of what some of these systems are trying to do in a crude way. They make work feel legible, winnable, and alive again.

My current take

I don't think people are vibe-coding productivity games because they suddenly want more fun. I think they're doing it because they're tired of pretending generic tools are neutral.

Every productivity system contains a theory of motivation. Most apps force you to live inside theirs. AI makes it cheaper to build one around your own.

That's the real shift. Personalized motivation software is now cheap enough to exist.

Some of it will be gimmicky. Some of it will be procrastination in disguise. Some of it will quietly work better than the polished apps because it was made for a single messy human instead of a broad market segment.

That's the category I'd watch. Not because every vibe-coded productivity game should become a startup, but because it is an early sign of where software goes when the build cost keeps falling.

More niche. More personal. Less polished sometimes, but more fitted to the person using it.

If the app only needs to work for one brain, the bar is totally different.

FAQ

Are people actually building custom productivity apps with AI?

Yes. I found multiple recent public examples of people using tools like Lovable and other AI coding workflows to build personal consistency trackers, quest-based to-do apps, and custom dashboards for habits, focus, and execution.

Why would a custom app work better than Habitica or Todoist?

Sometimes it won't. But a custom app can fit one person's motivations more closely, whether that's identity, accountability, low-friction tracking, or avoiding mechanics like streak shame.

What's the biggest risk with productivity games?

The biggest risk is optimizing for the game instead of the work. If you're farming points, maintaining streaks, or polishing the app more than doing the task, the system is probably backfiring.

Is this a real startup category?

Maybe, but I think the more interesting shift is software for an audience of one. AI makes it cheap to build weird personal tools that don't need mass-market appeal to be valuable. Some of those tools may become companies, but many will just extend the long tail of niche software.

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Graham Mann

Graham Mann

Builder, product person, and lifelong learner. Writing from Lunenburg, Nova Scotia about software, systems, and the slow work of figuring out how to live well.

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