timqian.com

What is timqian?

Tim Qian is an individual developer, not a company or a product. His site at timqian.com is a personal page where he describes himself as a full-stack JavaScript developer and open source contributor. He lists several tools he has created, including OpenPrompt, chart.xkcd, and star-history, and points visitors to his GitHub, Twitter, and blog.

If you arrived here looking for a service, a signup page, or a company profile, that is not what this is. The practical use of the page is as a hub: you land on it, see what he builds, and follow a link to the specific project or profile you actually need.

What you can expect to find

• A short self-introduction and role description
• Names of tools and projects he has built
• Links out to GitHub, Twitter, and his blog for code, updates, and writing

A concrete example

Suppose you used star-history to compare GitHub star counts for two repositories and want to know who made it. Searching for the creator leads you to this page, where the project is listed alongside his other work. From there, the GitHub link takes you to the source code if you want to report an issue or read how it works.

How to decide if this page is useful to you

The main trade-off is depth versus breadth: the page gives a quick overview and routes you onward, but it does not host detailed documentation, downloads, or support for any single project. For that, follow the link to the specific tool or to GitHub where the code and issues live.

As a next step, decide which project brought you here and open its repository or homepage directly rather than treating this personal page as the product itself.

What open source tools has Tim Qian created?

Tim Qian is a full-stack JavaScript developer and open source activist who lists three named projects on his personal site: OpenPrompt, chart.xkcd, and star-history, alongside "many more tools" that aren't itemized on the page.

What each tool is for

• OpenPrompt — an AI prompt tool he links to both as a project and as a place to find him. It's the kind of utility aimed at people who write and reuse prompts rather than code libraries.
• chart.xkcd — a charting library that renders plots in the hand-drawn "xkcd" sketch style. Its audience is developers and writers who want charts for blogs, README files or slide decks where a deliberately informal look fits better than a polished business chart.
• star-history — a tool for viewing the star growth of GitHub repositories over time. Useful for maintainers tracking adoption, and for anyone comparing whether a project's popularity is rising or has plateaued.

How to choose which to look at

Next step

Open timqian and follow the individual project links, since each tool has its own repository and documentation. If you only need one, pick by the task above — star-history is the most immediately useful without writing code, while chart.xkcd requires integrating a JavaScript library into your own project.

How can I use chart.xkcd to create hand-drawn style charts?

You use chart.xkcd by adding it to a web page and calling its chart functions with your data. It is a JavaScript charting library that renders line, bar, pie, and other charts in a deliberately sketchy, hand-drawn style. It was created by Tim Qian, whose site introduces him as a full-stack JS developer and the creator of OpenPrompt, chart.xkcd, and star-history timqian.

The typical path is:

1. Load the library from a CDN or install it via npm.
2. Put a canvas element in your HTML where the chart should appear.
3. Write a config object with the chart type, data, labels, and optional title or legend.
4. Instantiate the chart, for example new chartXkcd.Line(canvas, config).

That approach fits a personal blog, a README, a slide deck, or a lightweight dashboard where you want a friendly, informal look rather than the polished output of a business charting library. The trade-off is precision: the wobbly lines and hand-drawn fonts suit narrative or humorous contexts, but they are a poor choice for dense financial reporting or charts where exact values must be read off the page. It also works better for small to medium datasets than for thousands of points.

A practical next step is to open the project's own documentation and demo page, copy the closest example, and swap in your data. If you are comparing options, use chart.xkcd when visual tone matters more than exactness; use a conventional charting library when accuracy and interactivity are the priority.

What is OpenPrompt and how does it help with prompt management?

OpenPrompt is one of the tools created by full-stack JavaScript developer and open source activist Tim Qian, listed alongside his other projects such as chart.xkcd and star-history on his personal site timqian. The site itself only identifies OpenPrompt as a tool he built; it does not describe its features, so treat any detailed claims about prompt storage, versioning or sharing as general expectations rather than confirmed specifics of this product.

If you are evaluating a prompt management tool, the practical question is what you need to keep stable as your prompts multiply:

• Reuse: storing prompts in one place so you stop re-pasting them between scripts, notebooks and chat windows.
• Versioning: keeping older prompts retrievable when a change makes output worse.
• Collaboration: letting teammates review, comment on or copy a prompt without passing files around.
• Testing: comparing prompt variants against the same inputs before committing to one.

A concrete scenario: you maintain a dozen prompts for classification, summarisation and extraction across two projects. Without a manager, edits live in scattered files and you cannot tell which version produced last week's good results. A tool like OpenPrompt is meant to centralise that.

Next step: open OpenPrompt from Tim Qian's site and check three things before adopting it — whether prompts are versioned, whether they can be exported in a plain format, and whether sharing requires an account. If you only have a handful of short prompts, a versioned text file in your repository may be simpler. If prompts are shared across a team or changed frequently, a dedicated manager earns its place.

How does star-history work to track GitHub repository stars?

star-history tracks GitHub repository stars by reading GitHub's public star data and plotting it as a chart, so you can see a project's star count over time rather than only its current total. Tim Qian, who describes himself as a full-stack JS hacker and open source activist, lists star-history among the tools he created. timqian

H3 Practical use For a maintainer or developer evaluating a library, a star curve is a quick signal of attention: steady growth suggests ongoing interest, a flat line suggests stagnation, and a sudden spike often means the project was mentioned somewhere large. Comparing two or more repositories on the same chart makes relative momentum easier to judge than reading raw counts.

H3 What it does not tell you Stars measure visibility, not quality or production readiness. They can be inflated by a single viral post and say nothing about issue response times, release cadence or security. Treat the chart as one input alongside commit activity and open issues.

H3 Getting started Open the tool, paste the repository path in the owner/repo format, and generate the chart. For a fair comparison, add several repositories you are choosing between and look at the shape of the curves over the same period rather than the final numbers.

Where can I find Tim Qian's blog and social media profiles?

Tim Qian's personal site at timqian is the hub for both: it lists his blog along with his GitHub and Twitter profiles, and also links to OpenPrompt, one of the tools he created.

What you'll find there

• Blog — linked directly from his homepage, where he writes about his work and projects.
• GitHub — his code, including tools like star-history and chart.xkcd.
• Twitter — where he posts shorter updates.

Since he describes himself as a full-stack JS hacker and open source activist, GitHub is the most useful stop if you want to follow his actual output rather than just read about it. The blog suits readers who want context and explanation behind the projects; Twitter is better for quick, ongoing signals.

Next step: start at timqian, then pick the profile that matches your goal — code, writing, or updates.