Your Side Project Works. So Why Does Nobody Use It?

Working software answers one question: does the code run? People still have to find it, understand it, and get something useful from it.

When a side project has no users, adding features without knowing why is a guess. Find where the path breaks. You can investigate that without a marketing team or a complicated analytics stack.

Find the First Place People Drop Off

Start with observations. "Nobody uses it" can describe several different problems:

What you observe	What to investigate	A useful next check
Few visits from plausible users	Discovery or targeting	Where do people already discuss this task?
Visitors cannot explain what it does	Positioning	Ask someone to describe the product after reading the page
People start, but never finish the core task	Setup, usability, or trust	Watch a first attempt without coaching
People get a result, then disappear	Recurring need or value	Ask what happened the next time the problem arose

Treat this as a shortlist. Price, existing habits, and integration requirements can also stop adoption.

At tiny volumes, a conversation can explain more than a percentage. Exclude your own testing and obvious bots, and keep traffic sources separate. A launch audience may behave differently from people seeking a solution.

For a one-off utility, successful completion may be enough. Daily return visits would measure the wrong thing.

Choose One Person and One Painful Task

"Developers" is too broad to guide your next move. Choose someone with a specific job to finish.

Imagine a CSV comparison tool. Its homepage could say:

Compare two CSV exports and see which rows changed.

That gives someone a task they can recognize. "A powerful data productivity platform" gives them adjectives.

Find people already doing the task and ask:

• When did you last need to do this?
• How did you do it?
• What was difficult enough that you looked for another option?

A compliment is easy to give. An existing workaround, a shared sample, or willingness to try the tool gives you something to investigate.

Paul Graham's argument for manually recruiting early users is useful here. A few relevant conversations can expose assumptions before you invest in broad distribution.

In a community, answer the actual question, follow its rules, and disclose your connection when sharing your tool.

Make the First Useful Result Easy to Reach

For that CSV tool, a signup is one step. The useful outcome is seeing a difference report that helps finish the job.

Watch someone attempt it. Where do they hesitate?

• They must configure a workspace before comparing anything.
• They have no safe sample data to try.
• They cannot tell whether their files are uploaded or stored.

Fix the obstacle you observe. Keep necessary authentication and security, and explain data handling truthfully. A sample comparison can show the result before someone commits their own files.

Track the path with simple events, such as comparison_started and difference_report_viewed. Then ask whether the output was useful. An event proves an interaction happened; it cannot tell you that the task was solved.

Give Search Engines Something Worth Finding

If people already search for the task, SEO is a discovery channel worth testing. A novel product may need direct explanation before search becomes useful.

For the CSV example, a public guide could demonstrate comparing exports with reordered rows, including sample input and output. It should help even if the reader never signs up.

Check the basics:

• Access: Pages intended for search are public, return HTTP 200, allow crawling, and have no accidental noindex directive.
• Meaning: Use descriptive page titles and explain the task in visible text.
• Paths: Link relevant guides and product pages together; fix broken destinations.
• Evidence: Inspect important URLs in Search Console.

These checks follow Google's technical requirements and SEO Starter Guide. Meeting the requirements does not guarantee indexing or rankings.

Search Console's performance report shows queries, impressions, and clicks. Use it to investigate discovery, then check product usage separately. Search visibility alone cannot tell you whether someone needs your product.

Run One Small Experiment

Choose a change that tests the suspected obstacle. Keep a short record so you can explain what happened.

For the hypothetical CSV tool:

• Hypothesis: Interested visitors cannot picture the output.
• Change: Put a sample difference report beside the first action.
• Audience: People who currently compare exports, reached through the same source.
• Outcome: Among recruited users who see the page, how many complete a comparison and find the result useful?
• Follow-up: Ask people who stop what prevented them from finishing.

Change one major variable where practical. Record counts alongside rates, and note changes in who arrived. A small before-and-after comparison gives clues; it does not establish causation.

If people understand the tool and still prefer their current workflow, investigate why. They may need a missing capability, or the problem may be too minor to justify switching.

Before You Build Another Feature

Open your backlog and choose one task that addresses an observed obstacle. Write down what you expect to see afterward. That task might be a feature, a clearer page, or a conversation with someone who tried the product.

For the technical discovery checks, Screpy's website audit can surface broken links, missing metadata, and indexing signals, then help you compare findings across completed crawls. That helps you investigate technical barriers to discovery. Whether people need your project still requires evidence from actual users.