Ask HN: What are you working on? (February 2026)

I am working on an app that uses old-school predictive AI (i.e. pytorch and scikit-learn) to predict professional sports outcomes in a way that is useful for DFS fans. Here is the landing page.

https://www.higherscoresdfs.com/dfs/spa/welcome/

Here is the pitch.

We seek to empower DFS fans through education about predicting professional sports athlete outcomes. We do that through strategy advice, hot player tips, optimized lineups, and pick’em style game-friendly player props. We're not trying to take away your control or do your thinking for you. We are just here to support you in making better decisions. Let the app do the number crunching so you can get back to competitive play that gets results and is also fun.

Building, "Workloom ( https://workloom.so )" - a free-to-use project management tool for freelancers and small teams.

What's Included: - Kanban boards - Time tracking - Documents - Team chat - Schedules - Analytics - Voice notes - File storage - Task templates - Client reports

Hi!

I’m working on:

- DietPDF ( https://github.com/Zigazou/dietpdf-haskell ) an intensive PDF optimizer which tries to reduce PDF size as best as it can while preserving visual quality. It relies on a lot of tricks to achieve this goal (minification, precision reduction, deletion of superfluous operations, concatenations, filter combination etc.). At the present moment, I'm trying to implement CCITT Fax encoding/decoding.

Hi HN,

I’m working on an API that provides heuristic signals about whether a piece of text is likely LLM-generated.

The system uses an ensemble of techniques, and on my internal evaluation set (details below) it achieves ~99.8% accuracy. I’m fully aware that general-purpose AI text detection is hard and adversarial, so this is meant as a probabilistic signal rather than a definitive classifier.

There’s a simple demo site: https://checktica.com

And public API docs (no API keys required): https://api.checktica.com/v1/docs

I’d really appreciate critical feedback, especially on:

- Failure modes you’ve seen in similar systems

- Whether this framing makes sense at all

- Where such a tool might actually be useful (or useless)

Happy to answer technical questions.

- A phoenix/ecto inspired batteries included framework for Golang. Uses data-star for real time bindings (can do live view like things but my personal favorite is just real time form validation out of the box). Hot reload with templ, daisy, and tailwind (no npm required). Routes file provides metadata on routes so type safe route helpers are generated for views and handlers.