Hacktoberfest Weekend Challenge

Jerita D — Sat, 03 Oct 2026 09:58:40 +0000

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend

What I Built

One Liner is a one-page web app that turns long, over-the-top posts into a single line saying what they actually mean. Paste in a rambling announcement, a humble-brag or a motivational essay, click the button, and get the gist. No extra information.

I built it for my friend who wanted to start using social media for job searches, etc. Most of the long posts he ran into on professional social feeds took a few hundred words to say one thing, like "I got a new job" or "please comment so I can message you". He wanted to get the point in a second and only read the full post when it's worth the time.

Demo

oneliner-ten.vercel.app

Code

Jeri20 / One_Liner

Codes for Hacktoberfest 2026 Oct 5 challenge

One-Liner

Paste a long, "humbled and honored" LinkedIn post. Get the one-line truth.

Live demo: https://oneliner-ten.vercel.app/

What it does

You paste a post like this:

After 7 incredible years, I'm humbled and honored to share that I've decided to embark on a new chapter. This journey taught me so much about leadership and resilience. Grateful to everyone who believed in me. Stay tuned! #newbeginnings

You get one short line back, something like:

Quit their job.

That's the whole app: one page, one job, no extra information.

Why I built it

Why open source matters here

Private by default. The model runs on your own device, so nothing you paste is sent anywhere.
Free to run and host. There's no per-request bill and no API key. The whole app is one static HTML file.
Swappable models. The dropdown switches between Qwen 2.5 1.5B, Llama 3.2 1B and Llama 3.2 3B. Adding…

View on GitHub

How I Built It

It's a single index.html file with no backend.

Model: open-weight models run inside the browser with WebLLM, which uses WebGPU. The default is Qwen 2.5 1.5B Instruct. Llama 3.2 1B and 3B are in a dropdown, so I can compare them on the same posts.
Prompt: a system prompt asks for exactly one sentence under 20 words. It is paired with four worked examples (long post in, one-liner out), because small models follow a pattern far better when they are shown it.
Cleanup: a small function keeps only the first line and first sentence, and strips labels or quote marks the model sometimes adds. That way the output is always one line.
Hosting: a static file on Vercel. There is no server and no API key.
Resilience: the AI library loads from three CDNs in turn, so one blocked source doesn't break the page.

What went wrong along the way: my first version showed a blank page when the library failed to load, and then the model download failed with "Failed to fetch". I had been testing inside a preview pane that blocks those downloads. So I added a Check connection button that tests each download step and shows which one fails, plus a warning when the page is opened in a preview. I also used Claude as a coding assistant for scaffolding and debugging.

Why Does Open Innovation Matter?

I paste all sorts of text into a tool like this, and I don't want every post, draft or message I read going to someone else's server. With an open-weight model running in the browser, none of it leaves my device. A closed API would send every post to a third party, along with an API key and a bill.

Open also made these things possible:

It costs nothing to run. There is no per-request fee and no backend to pay for.
Models are swappable. Changing the model is a one-line edit, so I could compare a 1B and a 3B model.
Behaviour is editable. The prompt and the worked examples live in a config block at the top of the file. If it misreads a style of post, I add an example. No retraining is needed.

The honest trade-off: a small model is less accurate than a big hosted one, it can miss sarcasm, and the first load is a large download. For a task as small as "boil this down to one line," I think that trade is worth it.

DEV Community: Jerita D