Hi everyone I m the maker of StampCam and CalcDelta.

StampCam started with something I noticed in both work and everyday life: people taking photos for attendance check-ins, construction-site records, or personal memories wanted an easier way to keep the time, place, and notes in the picture.

When I explored existing watermark camera apps, I felt privacy deserved more attention. That shaped StampCam, a camera app for iPhone and Android where capture, watermark rendering, and saving happen on the device.

I m also building CalcDelta, a free calculator website. Its focus is making results easier to understand and check, with formulas, worked examples, and explanations. Whether you re comparing compound interest scenarios or planning a running pace, you can see how the answer was calculated. No account required.

Hey everyone!

I m Wilker, based in Portugal. I ve been working as a QA Lead full time and now working on my own product for quite a while, spending a lot of my free time building something that I can potentially share with others.

The product is called IOWII. It is a personal finance product I m building to make money a bit easier to understand and manage, without turning everything into another complicated dashboard. More importantly, something that can be easily used by multiple people (groups, families, couples). Sharing is caring, right? :D

I m also really interested in AI in general, fintech, automation (processes), Quality Assurance and product design, especially when it comes to figuring out where AI is actually useful in all these areas.

Hi everyone! I m Miguel

Long-time lurker in the product space, finally jumping in to share a bit of my journey and a major frustration I ve run into lately.

I lead data science and loss forecasting at my company, but my big passion outside work is cooking. I ve been at it for about 20 years and host supper clubs with 6 10-course tasting menus.

I used ChatGPT to help plan them, and there were little things that kept frustrating me. Every time I asked a question about a recipe, I d end up scrolling back through the conversation to find the recipe again. Once you re juggling several courses, that gets old pretty quickly.

So I started building something for myself. That became Compagnon, an AI recipe and menu-planning app for iPhone. One of the things I wanted most was being able to ask questions right inside a saved recipe.

I m not an entrepreneur or an app developer by background. I thought this would just be a tool I d use in my own kitchen, but it s grown into something I m really proud of, and I m figuring out where to take it from here.

Hi everyone, I'm Ri, UI/UX designer and marketing lead at Capsule.

Honest version of how I got here: I was a fresh grad freelancing while job hunting when Jens reached out unexpectedly. I was referred from an interview I didn't even get through months before. I had doubts, and I'd just accepted another offer at the same time. Not exactly the story of someone who jumped at the opportunity.

I'm Juan, a software engineer from Colombia.

My background spans software development, data analysis, and business strategy. Over the years I've enjoyed building systems, learning new technologies, and solving problems through software.

Hi everyone, just thought I would do a quick post to say hello! I'm based in Colorado and just launching my project. Although I've always been agile in learning technology/light code, I would not never gotten my app off the ground without AI coding tools. What a time to be alive! :) Looking forward to connecting with like-minded people and to sharing my app with you all soon for feedback.

Hi everyone, I'm Arhan, based in Dubai. I build Canli Capital, an open quant research project where every published number links to the file behind it, including the strategies that failed.

The problem I keep coming back to: if you try many versions of a trading strategy and keep the best one, its results look great because you picked it. So I built free checks for that: tell them how many versions you tried and they tell you how much of the result is luck (deflated Sharpe ratio, probability of backtest overfitting, minimum track record). They run in the browser, as a free API, or as MCP servers so you can ask Claude or Cursor "is this backtest real?". Every result comes with what it does not prove.

The part I'm proudest of is publishing our own failures: one statistic I designed turned out to call noise skilled 20% of the time instead of 5% when returns are autocorrelated, and that's on the site next to the fix.

If you trade, backtest, or build anything with financial data, I'd love to hear what you check before trusting a result. And if you have a backtest you'd like a second opinion on, post the Sharpe, how many variants you tried, and the test length, and I'll run the numbers.

Our name is Unoptimised. One "s", British spelling.

People find us by typing "unoptimised," "unoptimized," or "unoptomised."