As more software becomes easier to build, founders are spending more time solving the harder problem: helping the right people discover, understand and trust a product.
Kirtesh··5 min read·876 words
The cost of shipping software is falling, but that does not automatically create demand. Recent builder discussions point to a growing focus on discovery, positioning and trust as core parts of the product itself.
Building software is getting easier.
Getting the right people to notice it is not.
A founder can prototype an idea, connect payments and publish a working product quickly. The harder question is often what happens after the product goes live.
Who finds it?
Do they understand it?
Do they trust it?
Do they have a reason to come back?
That makes discovery part of the product experience, not just a marketing task.
A person might discover a product through Google, an AI assistant, a community post, a founder profile or a product directory.
The first job is to explain what the product does.
The second is to help the visitor decide whether the problem matters to them.
The third is to make the next step obvious.
Every bit of friction between discovery and value is part of the acquisition experience.
A homepage cannot answer every question.
Someone searching for a problem may need a detailed guide.
Someone comparing tools may want a comparison page.
Someone researching the founder may want a profile.
Someone who already knows the product may simply want pricing or documentation.
These are different intents.
Useful discovery systems give each intent somewhere sensible to go.
A useful product page should make the basics easy to find:
This is not keyword stuffing.
It is basic clarity.
Search engines, AI systems and humans all benefit when the product can be understood without decoding vague marketing language.
Unknown products have an information problem.
A visitor may wonder whether the product is maintained, whether there is a real person behind it and whether the company will still exist next month.
Founder profiles, changelogs, screenshots, transparent pricing, documentation and recent activity can provide useful evidence.
None of these guarantees quality.
They simply reduce uncertainty.
Imagine someone arrives through a useful article.
If they cannot find the related product, the content generated attention but not a useful next step.
Or imagine someone discovers a product, tries it once and has no reason to return.
The acquisition system stops at the first visit.
A stronger loop connects content, products and community:
article → product → save/follow → update → return
That is where discovery starts becoming part of the product.
AI assistants can now influence product research by answering questions, comparing options and suggesting tools.
Founders cannot control whether an AI system mentions them.
They can control whether their public information is clear.
Keep product descriptions consistent.
Make important facts easy to find.
Use stable URLs.
Publish useful documentation.
Explain the problem and the audience precisely.
Google search still matters too. Google's own AdSense guidance emphasizes useful, unique content and clear navigation rather than pages built mainly around repeated keywords. citeturn0search0turn0search4
Low traffic does not automatically mean the product needs another feature.
If visitors arrive but do not activate, onboarding may be the problem.
If users activate but do not return, recurring value may be missing.
If traffic is low, distribution may need work.
If people do not trust the product, add evidence.
Fix the bottleneck you can observe.
“AI productivity platform” tells people very little.
“Automated weekly client reports for small agencies” tells them much more.
A narrow description can attract fewer theoretical customers while making the right customers recognize themselves immediately.
For indie founders, that clarity can be more useful than trying to appeal to everyone.
The product may be small.
The discovery system around it should make the value obvious.
As more software gets created, discovery becomes part of the product itself: how people find it, understand it, trust it, try it and eventually return.
For For Indie Founders, Discovery Is Becoming Part of the Product, treat the advice as a measurable growth experiment. Define the audience, the action you want, the signal that indicates progress, and the time window before changing the tactic.
audience → message → action → measurement → learning → next test| Signal | What to inspect |
|---|---|
| Reach | qualified people exposed |
| Activation | first meaningful action |
| Conversion | users reaching the desired outcome |
| Retention | repeat behavior |
| Cost | effort or spend per useful outcome |
This practical section turns the article central idea into something a founder can test, measure, and revisit. It is deliberately separate from the main argument so readers can distinguish the article analysis from the implementation checklist.
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Written by
Kirtesh
Founder
Kirtesh is a software engineer, indie hacker, and tech analyst.
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