After spending 30 years in IT doing everything from coding to enterprise architecture, I quit the consulting world this year to get back to what I enjoy most: building.

I'm working on Brain Hurricane (brainhurricane.ai). It's the kind of structured tool I wish I'd had in my career. I was tired of unstructured brainstorming sessions that recycled the same ideas and the passive waiting for a "great idea" that never arrives.

My goal was to create a systematic process. It uses AI to help you generate ideas with proven methods like SCAMPER and Six Thinking Hats, then immediately analyze them with frameworks like SWOT, PESTEL, and the Business Model Canvas. It's about moving from a fuzzy concept to a validated idea with more confidence and clarity.

On a personal level, this project was my way of diving headfirst into modern AI development. I'm building it with Next.js, TypeScript, Python, and Linux, which has been a fun and humbling experience coming from a more traditional enterprise stack.

It's still early, but the core features are live. I'd genuinely appreciate any feedback from the HN community, especially from those who have struggled to turn abstract ideas into something concrete.

I've spent several last years solo-developing an ad-free website with over 50 different solitaire/puzzle games (https://inSolitaire.com). I've rewritten this project (almost) completely four times and tried my very best to make it work on both desktop and mobiles.

I would be incredibly grateful for any feedback – I'm looking to genuinely improve the experience. Specifically, I'm wondering whether it is easy to use and what it lacks.

I have a huge backlog to cover for this, but so far it has been great fun and I have learnt an incredible range of things!

I'm collecting every new software engineering conference talk and podcast each week so you don’t have to scroll through YouTube/RSS feeds[1]

Every week, an endless number of new podcasts and talks are published. Most get buried before anyone sees them. My newsletter called "Tech Talks Weekly" is a free email that lists all the new talks and podcasts published in the past 7 days across hundreds of conferences (KubeCon, QCon, PyCon, Devoxx, etc.) and podcasts with a few must-watch ones highlighted and briefly summarized.[2]

Also doing yearly “most-watched” compilations (e.g. 100 Most Watched Software Engineering Talks Of 2024 that made it to HN front page) which have been fun to put together.

Started it as a side project to stop missing good talks, but now 7,200+ devs read it every week.

[1] https://techtalksweekly.io [2] https://www.techtalksweekly.io/p/what-is-tech-talks-weekly

I build AI tools to automate Nursing tasks in Aged Care.

I'm an Aged Care nurse of 13 years, taught myself to code 5 years ago and am obsessed about automating nursing tasks(i.e auditing, funding, quality) because the volume of admin work that is required by Nurses is absurd and the industry is very far behind and very resistant to: change, spending money and technology in general.

I have been shouting into an empty void the last 3 years but that is okay, i am patient.

I mostly focus on standalone, local AI tools that do a task and are open ended(manual file upload) to suit the 20 million different software in aged care. Keep it all as simple as possible and minimal hurdles.

Generally using llama.cpp, Qwen3, python and then wrapping in some sort of ugly GUI or more recently- AutoHotKey. The nurses feel powerful pressing a few buttons with ahk and watching work be done. (Avoids command line, avoids me being paralyzed by front end stuff).

I don't know why i am sharing this as i am way out of my depth here but there you go. If anyone else is in the Aged Care space, give me a shout. *edit because i can't format new lines or spell.

I’ve been working on a custom RTOS for Cortex-M for the past 10 years: https://github.com/raphui/rnk It started as a way to learn RTOS internals, and over time it has grown into something with lots of nice features. I’m even using it in a dirtbike anti-theft tracker I am building. Also, 2 months ago, I did a weekend challenge to build an embedded software parameter DSL and compiler. Its goal is to let firmware developers define configuration values, thresholds, constants, and other application-level parameters in a structured, human-readable format, and compile them into binary data that the firmware can directly use.

https://github.com/raphui/epc

Happy to get any feedback :)

I've been working on forecasting NHL games at nhlforecasts.com.

It's been a fun challenge as the games are pretty clustered in terms of scoring, and the games themselves are random with minimal points scored. I'm also not the biggest fan of hockey, so it's been fun for me to see which teams are ranked high.

I've been leaning on AI for the first time which has been interesting; I see a ton of content with AI around web dev, but less around more data science. It's interesting how quickly AI will break a common sense rule, like data leakage. Really fun learning experience!

In terms of platform, I've been having a ton of fun with static sites. Cheaper to host and more secure, all I need is a domain name to get it accessible on the web.

I'm still working on WithAudio (https://desktop.with.audio). A one time payment Text To Speech Desktop App. Because I think everything doesn't have to be a subscription.

In October I finished the PDF parser. It was a big challenge extracting PDF contect with correct paragraph breaks on user's computer locally. I'm gonna write about this soon.

Now I'm working on a web extension that talks to the app that run locally on your system so you can use WithAudio in your browser with very good performance, 100% local and private.

Posted about this last month and good some good comments / feedback via email :)

I'm working on Teletable (https://teletable.app), a macOS app that shows live football & F1 standings/results with a teletext interface (think BBC Ceefax). It's free and on the appstore:

https://apps.apple.com/us/app/teletable-football-teletext/id...