Building a working product is one challenge. Making it discoverable by people who need it is another.
A developer can spend months building a SaaS product, fixing bugs, improving the interface, connecting payments and preparing for launch.
Then the website goes live.
The product works. The documentation is ready. The launch announcement is published.
But there's a question that often receives less attention during development:
If someone has the exact problem your software solves, how would they find it without already knowing its name?
In an October 2026 discussion on Reddit, a solo founder described a working SaaS product, outreach to more than 50 potential customers and very little response.
That is one founder's experience, not evidence that every SaaS launch follows the same pattern. But it illustrates an important problem.
A functioning application is only one part of getting people to use it.
Your product description might make sense to you, but not to your users
Developers naturally describe software through its architecture and features.
Consider this hypothetical description:
An AI-powered productivity platform with intelligent automation, advanced integrations and a modern dashboard.
It sounds like software. But what does it actually help someone do?
Now compare it with:
A tool that reads supplier invoices from PDFs and exports the extracted information into a CSV file for accounting teams.
The second description gives a potential user something concrete to evaluate.
They can immediately understand the task, the input, the output and the intended audience.
It also creates a clearer connection between the product and the language someone might use when searching for a solution.
This distinction matters because people often begin with a problem rather than a product name.
Someone unfamiliar with your software might search for a way to extract information from invoices, automate appointment reminders or collect feedback inside an application.
If your public description never explains those capabilities, a relevant discovery system may struggle to understand why your product belongs in the results.
Of course, better descriptions alone won't produce customers. But unclear positioning adds friction before a potential customer has even tried the product.
Think about discovery as a matching problem
Traditional launch advice often focuses on where to announce a product.
Product Hunt, Reddit, Hacker News, social media and developer communities can all be useful.
But publishing somewhere doesn't automatically establish relevance.
A developer building an invoice-processing API probably needs a different audience from someone building a video editing tool for creators.
The underlying question is:
What does someone need to be trying to accomplish for this product to become relevant?
This suggests a useful exercise before choosing your next marketing channel.
Describe your product through the following fields:
# Hypothetical SaaS example
audience: Small accounting teams
problem: Manual entry of supplier invoices
input: PDF invoices
capability: Extract invoice details
output: Structured CSV file
proof: Public demo using sample documents
limitations: English-language PDFs only
next_action: Try the sample demo
This isn't a required metadata standard or a guarantee of search visibility. It's a way to make your product's actual capabilities easier to explain.
Notice what the example includes beyond features: an audience, a problem, something inspectable and a limitation.
Those details help a potential customer decide whether the product is worth investigating.
Evidence matters as much as the description
Imagine two products that both claim to automate invoice processing.
One has a polished landing page and a list of features.
The other offers a sample PDF, a demonstration of the extracted result, supported document formats and an explanation of where manual review may still be necessary.
Neither is automatically the better product.
But the second makes it easier to evaluate whether the software fits a specific workflow.
Developers already understand this principle when choosing technical dependencies. We inspect documentation, examples, compatibility, maintenance and known limitations before relying on a library.
Potential customers also need evidence, although the evidence they value may look different.
For a SaaS product, that could mean a working demo, screenshots showing real functionality, supported integrations, documentation or a publicly accessible example.
For a developer offering services, it might mean a portfolio, an actual project, the technologies used and the work delivered.
Useful discovery should make those details easier to find, rather than leaving someone to guess from a promotional headline.
A practical discovery test you can run
Before submitting your product to another launch platform, try this exercise:
Write three problem-based searches. Avoid your brand name. Use phrases a potential customer might naturally type, such as "convert supplier invoice PDF to CSV."
Review your public description. Does it clearly address those searches? Are the capabilities genuinely supported by your product?
Check what someone can verify. Is there a demo, example, documentation or meaningful evidence? Can a visitor understand the limitations before committing?
Follow the visitor's next step. Can they move from understanding the product to trying it, contacting you or visiting the relevant page without unnecessary confusion?
Measure the stages separately. Record discovery visits, product-page visits, actual trials and meaningful user actions where your analytics support them.
The aim isn't to stuff more keywords into a listing. It's to reduce the distance between what someone needs and what your product demonstrably does.
If people are reaching the correct page but not trying the product, the problem may be positioning, pricing, trust or the onboarding experience.
If nobody relevant is reaching the page, the discovery channel itself may be the problem.
Those require different fixes.
Why I'm building AGMANaround this idea
This is one of the problems behind AGMAN, a discovery and digital distribution network I'm building for useful software, products, professionals, services, creators and communities.
The idea is to make discovery start with what someone needs, rather than requiring them to know a product name or navigate through a long catalogue.
AGMAN currently has a feature called Find by Need.
A visitor can describe a requirement in ordinary language. The system looks for relevant capabilities and context in published profiles and shows why a result matches.
For example, its public homepage demonstrates a search for tools to create short videos, with products presented alongside capability-based match reasons.
The network also provides public pages where publishers can explain what they offer, include useful details and direct visitors to their own websites.
For product owners, the dashboard separates recorded profile views, outbound visits and other engagement signals. Paid placements remain distinct from organic search relevance.
The approach is intentionally different from assuming that a single launch announcement should carry a product's entire discovery journey.
But there's an important limitation.
AGMAN cannot guarantee that a relevant visitor will arrive, that every search will find a suitable match or that a profile will generate customers. A discovery network still has to build genuine demand and demonstrate that its results are useful.
What interests me is whether better descriptions, specific capabilities and inspectable evidence can make the connection between a user problem and a suitable product clearer.
That's a question worth exploring regardless of which platform a developer uses.
The useful work continues after launch
A launch creates a moment when people can discover what you've built.
But software continues to evolve afterward. Features change, integrations improve, limitations are resolved and new use cases emerge.
Keeping your public product information accurate gives potential users a better chance of understanding what the software can do now, rather than what it did on launch day.
For an indie developer with limited time, that may be a more useful starting point than announcing the same product everywhere.
Take one feature you know works. Identify the specific person who needs it, explain the problem in their language and make the outcome easy to inspect.
Then check whether the people reaching your product are actually the people it was built for.
A question for other developers: When you launch something new, how do you make sure people searching for the problem can find your solution?
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