What's the PROBLEM your product solves?
In the month that I've been here, I've been noticing a pattern in a lot of launches - strong demos, polished UI, clear outputs of "what it does."
But when I ask myself "What problem does this solve?" I sometimes have to dig for the answer. (I come by that thinking honestly - I've spent 33 years building and fixing businesses, so this is the lens I can't turn off.)
The products where the problem is obvious are the ones people actually buy - you see it, you go "oh, that's exactly my issue," and you're sold on it.
It also makes pitching easier. If you're clear on the problem, explaining your product to anyone - buyers, other makers, whoever - gets a lot simpler.
And it's a small tweak with a big payoff - naming the problem clearly in your launch messaging can be the difference between people scrolling past and people stopping to actually look.
Curious what others think: when you're checking out a launch here, do you look for the problem first, or does the demo/output usually sell you on its own?
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The obvious problem test needs one more layer, whether it is obvious to the person who actually has it, not to onlookers. I build a tool for UK renters in landlord disputes. Anyone outside that situation glances at the pitch and shrugs. Anyone living with unanswered damp reports and a landlord gone quiet gets it in one line. Some problems only look unclear because you are not the audience feeling them.
Problem first, always, for me too. For finly the pitch is: most budgeting apps make you manually re-categorize every transaction, so people quit by week two, not because the app is bad but because the upkeep is annoying. The problem's obvious the second someone's re-tagging fifty transactions by hand. When I used to lead with the feature instead, AI parsing, whatever, eyes glazed. Lead with the annoyance and the feature explains itself.
I completely agree. Building Tendr has made me realize that people rarely buy features—they buy relief from a frustrating process.
When we first described Tendr, we talked about vendor discovery, planning tools, checklists, and budgets. The product sounded capable, but the real problem wasn't obvious.
The clearer message is: planning an event is fragmented. People jump between dozens of vendors, spreadsheets, chats, and reminders just to organize one celebration.
Everything else—vendor discovery, timelines, budgeting, guest management—is simply how we solve that problem.
That shift has made it much easier to explain the product.
I've started asking myself one question before shipping or writing any copy: "If someone only reads the first sentence, will they immediately understand the problem we're solving?"
If the answer is no, the messaging probably needs more work.
Agent memory that does not survive the session. You explain the constraints, it works well, you come back the next day and it is confidently doing the thing you told it not to do, because none of that context was ever written down anywhere durable. Worth noticing how many answers in this thread are phrased as the absence of a solution rather than as a problem. "Teams lack a unified way to..." is not something anyone feels at 6pm. The version that lands is the one where the reader recognises the specific moment: the second time you explain the same constraint to the same tool. If you cannot name the moment, the problem is probably still a category rather than a pain.
Building Dropler.AI — an AI tool that generates actual React Native mobile apps (not just web) from a prompt.
Would love feedback from this community: https://dropler.ai
I agree. I’ve started thinking about this differently while building Tendr.
Initially, it was easy to explain Tendr through features—vendor discovery, bookings, budget tools, checklists, etc. But the stronger explanation became the problem itself: planning a celebration is fragmented and overwhelming before you even get to booking vendors.
People often don't know where to start, what they need, how much they should spend, which vendors to trust, or how to coordinate everything. Once that problem is clear, the reason for building Tendr becomes much easier to understand.
So for me, the problem gets attention; the product and demo prove that you can actually solve it. A polished product might make me stop scrolling, but a clearly articulated problem is what makes me care.
Inventory
I had this issue of searching my chats on AI tools like Claude, Cursor, Anti-gravity, Codex, etc. I did a fix on Codex 3 months ago and now i have remember in which tool i did the fix. Then having to copy paste context, and all those stuff.
When i googled i found products which are costly, subscription-based and my chats goes to them. I do not want that.
So i build a light-weight, secure, macOS app that works as a single place you can search through all of your conversation, it is encrypted end to end.
It has proactive memory feature, which can tell if your are searching for a fix "X" did it worked or not? and all tools knows each other context you do not have to copy paste, while still being all local and one-time fee, lifetime updates.
Small business owners get told to “just use AI” for their marketing, and then a blank prompt box stares back at them. My product solves the staring.
25 AI marketing specialists that interview you about your business once, then all work from that same shared file, so a roofer in Anchorage gets agency-grade marketing without becoming a prompt engineer. The problem underneath the problem: good marketing has been priced like a luxury when it’s really a staffing problem, not a knowledge problem.
Launching here on the 18th, so I’ll find out shortly how well I’ve solved it.
Problem first, almost always.
A good demo might make me stop scrolling, but the problem is what makes me care.
For Salesman AI, the problem isn’t that sales teams need more AI. It’s that reps walk into calls with buyer context scattered across tabs and tools, then come out with a neat transcript or summary that still doesn’t tell them what to do next.
We’re trying to close that gap, help reps prepare, rehearse, and turn the actual conversation into clear next steps. Honestly, getting that message right has been harder than listing the features.
We launched today, Salesman AI.
I picked a problem I have seen over the last few years while working in Fintech, where most businesses struggle to understand why some of their products don't sell as much, or they have many data points but require significant effort to compile this info and perform analysis.
So, I decided to take the experience and knowledge I acquired and build TrueSignal. The goal of the platform is data aggregation of the internal systems the company already, we make the analysis of the data to provide businesses with insight the potencial issues during the lifecycle of the product.
We're starting with Shopify and eCommerce brands where we're capturing consumers' feedback to find these initial issues. We're then extending the number of connectors to other categories, like ticketing systems (Zendesk), delivery services (UPS, FedEx), and public reviews (Google and Amazon reviews).