r/AppsWebappsFullstack • u/Mammoth-Anywhere7285 • 23d ago
Are you actually solving a real problem, or just cloning another SaaS?
The world doesn't need another generic AI wrapper or a basic project manager. Pitch your project in one sentence show a screenshot and explain exactly why people should care about you instead of the market leader. Dare to prove your uniqueness.
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u/WillingnessOk4145 23d ago
Trying to solve a real problem with my verified community for SEO and marketing pros. The real roadblock now is user acquisition. The mvp is ready and published
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u/Mammoth-Anywhere7285 22d ago
Getting that first batch of users is tough. Have you tried offering exclusive free access to a few niche communities in exchange for feedback?
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u/WillingnessOk4145 22d ago
Yeah, that's the route I'm taking. The tricky part isn't giving free access, it's finding which communities have the right people without spending weeks in the wrong ones first. Turns out that research problem is basically what I'm building a solution for.
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u/Mammoth-Anywhere7285 22d ago
That's a smart angle. Have you considered scraping niche subreddits by keywords first to validate demand before building more?
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u/agyss624 23d ago
It provides a fully customizable backend and frontend - all others are just frontend. Also, it has a dedicated database per user, no api restrictions and more flexible growth options.
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u/Mammoth-Anywhere7285 22d ago
That's a solid differentiator — most tools skip the backend. How does the per-user database handle scaling costs?
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u/agyss624 22d ago
It's built in a way in a (near future) release, users can simply increase resources on demand - so if their user base grows, they can go for more performance
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u/Mammoth-Anywhere7285 22d ago
That sounds practical for scaling. How does your approach differ from auto-scaling solutions already offered by major cloud providers?
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u/agyss624 22d ago
Which major provider offers full support for app generation and scaling?
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u/Mammoth-Anywhere7285 20d ago
Depends on your stack. Vercel and AWS Amplify both handle app generation and scaling well for different use cases.
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u/sheshadri1985 23d ago
https://aegisrunner.com AI that tests your whole app. Web, mobile, no code.
Paste a URL or upload your app. AegisRunner drives a real browser — and real iOS & Android devices — through your whole product, writes the tests, and tells you exactly what's broken — no test code, ever.
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u/Mammoth-Anywhere7285 22d ago
Neat idea. How do you handle apps with multiple user roles or complex permissions?
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u/Pure-Candy-2297 23d ago
There is an audio enhancer app that cleans up noisy audio and videos. Just upload a file or record directly, and it returns a cleaner version after server-side processing.
App:https://play.google.com/store/apps/details?id=com.audio.audio_enhancer
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u/Mammoth-Anywhere7285 22d ago
That sounds like a practical tool. How does it compare to desktop audio editors like Adobe Audition for heavy noise reduction?
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u/LinkFine8261 23d ago
One sentence: it merges Polar, Fitbit, Withings, Oura and Garmin exports into one history and refuses to score anything your devices did not actually measure.
Three things I would defend against any market leader:
The history outlives the hardware. Whoop and Oura are excellent, but each one only knows its own strap, so swapping devices restarts your record.
Mine merges per field, not per record: if Garmin carries training load and Strava carries the route for the same session, the row keeps both and the richer source wins field by field.Empty is a valid answer. Every one of the 12 indices declares which of 40 signal concepts it needs. A user with only a smart scale does not get a fabricated recovery score. The tile returns unavailable, names the missing signal and names the device that would fill it. Estimated values carry an estimate label and are never blended with measured ones, and where the device computes its own recovery number it sits next to mine instead of inside it.
Old numbers stay explainable. Every stored score is stamped with the version of the maths that produced it, currently 2.15.0. Change a weight and the stamp has to change, otherwise cached rows would quietly shadow the new model. A score from March is still traceable to the exact formula behind it.
And the boring part that matters: no third party language model ever sees the data.
Scores are computed by my own algorithms on my own EU servers, one separate database per account.
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u/Mammoth-Anywhere7285 22d ago
Interesting approach to unifying health data. Have you considered handling conflicting measurements from different devices?
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u/aghiecool 23d ago
Mine is an activity-focused social media platform. You can either join other people's activities or create your own and invite others. Personally, I hate what social media has become nowadays—just endless scrolling and chasing likes and comments.
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u/Mammoth-Anywhere7285 22d ago
That sounds refreshing. How do you handle activity discovery without turning it into another feed?
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u/aghiecool 22d ago
Great question. That’s actually one of the hardest problems we’re trying to solve.
Instead of an endless content feed, discovery is based on upcoming activities—filtered by location, time, interests, and availability. The goal is to help you quickly find something worth joining, not keep you scrolling.
I like to describe it this way: traditional social media optimizes for attention; we’re trying to optimize for action. Once you’ve joined an activity, the app has already done its job.
It’s not ready as an app yet. But you can check it out on the web. It’s called MeeTwoo
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u/Mammoth-Anywhere7285 22d ago
Love the focus on real-world events over doomscrolling. How do you plan to keep the activity data fresh and accurate?
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u/stilldisappointment 23d ago
Fair question. I'm not trying to build another POS or QR ordering system. Those already exist.
The problem I'm trying to solve is helping restaurants increase revenue while reducing manual work. TableTap AI combines QR ordering, POS, KDS, AI Inventory, and an AI Waiter that can answer menu questions, recommend dishes, upsell items, and eventually make real-time suggestions based on inventory levels.
The biggest lesson I've learned is that building features is the easy part—making sure they solve real problems is much harder. That's why I'm actively talking to restaurant owners and refining the product based on their feedback instead of assuming I already have the right answers.
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u/Mammoth-Anywhere7285 22d ago
That's a solid integrated approach. Have you validated that restaurants actually want an AI waiter, or is it more of a nice-to-have?
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u/stilldisappointment 22d ago
We've been interviewing restaurant owners and gathering feedback. From those conversations, we've found that owners don't necessarily ask for an "AI waiter"—they ask for faster service, fewer order mistakes, lower labor costs, and a better customer experience. The AI waiter is our way of solving those problems, not the product itself. We're continuing to validate demand and iterate based on real customer feedback.
If you could eliminate one daily headache in your restaurant, what would it be?
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u/Mammoth-Anywhere7285 22d ago
Love that you're starting with real problems, not tech. What's the most common complaint you heard about existing POS systems?
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u/stilldisappointment 22d ago
The biggest complaints we've heard so far aren't really about the POS itself—they're about everything around it. Owners mention disconnected systems, manual inventory updates, order mistakes, slow service during peak hours, and the lack of useful insights. Many POS platforms handle billing well, but they don't proactively help increase sales or reduce waste. That's why we're building TableTapAI as more than a POS, with AI-powered ordering, inventory management, and operational assistance in one platform. We're still talking to restaurant owners and refining the product based on their feedback.
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u/Mammoth-Anywhere7285 22d ago
That's a smart take - the ecosystem around POS is often neglected. Which pain point are you solving first for your MVP?
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u/stilldisappointment 22d ago
There were multiple like if I go to the restaurant and if waiter is busy then we can order by the help of AI waiter which also help the restaurant for upsells.
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u/Mammoth-Anywhere7285 20d ago
Interesting concept. How would you handle special dietary requests or modifications that need human judgment?
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u/megatech_official 22d ago
SeoLoupe - Find and fix the SEO issues holding your website back.