Hey I'm James, a software developer from Australia with 20+ years building things professionally.
Most of my career I've been the person behind the scenes solving hard technical problems, shipping reliable software, making other people's ideas work. Unravl is the first thing I've built entirely for myself, and now I'm figuring out the part they don't teach developers: how to actually get it in front of people who might find it useful.
No funding. No growth team. No playbook. Just me, the product, and a lot of learning in public.
If you've been down this road builder trying to find an audience I'd genuinely love to hear what worked for you. And if Unravl sounds like something you'd use, even better.
I ve been a long-time hunter, but I m finally stepping into the 'Maker' ring. My name is Athithian, and I m currently building Qhound.
Right now Qhound, the goal is to help Nodejs developer who uses BullMQ, better monitor their queue, but soon I will scale for other queuing libraries. It s been a wild journey of 3 months of coding and late nights, but I have finally launched it.
I'm in my third year studying English and Philosophy at the University of Waterloo, and for the past two years, I've been working at an AI startup called Artus. When I first started, I conducted a lot of research and wrote in-depth papers specifically on multi-agent systems, which truly shifted my perspective from an anti-AI stance to advocating for ethical AI to resolve global issues. Over the years, I've studied AI s potential in advancing the 17 UN Sustainable Development Goals (SDGs), as well as its impact on both blue- and white-collar jobs.
I am Manish and I am building TectorAI - a weaving thread that joins all research platforms. Have been in research workflows for my entire career(banking, consulting, commercial strategy) and realized all platforms & tools create excellent research reports - intelligence, but consumption is still difficult. Insights I found disappeared the moment tab was closed. I would end up hours looking for info or recreating my old research.
I'm Kaavya, co-founder of Scribble, a creator campaign platform helping brands get visible in AI search.
Been deep in the GEO rabbit hole for a while now, running content campaigns and trying to figure out why good content disappears on ChatGPT and Perplexity. Lots of patterns emerged from watching enough campaigns, which eventually turned into a tool.
Hi all, I am Yaoshen Luo. Here is my late self-introduction.
I ve been in the industry for 14 years. I used to develop positioning and navigation systems for Baidu Maps, worked on recommendation engines, and eventually managed a team of 30+. Currently, I am deeply involved in the R&D of Voice Agent SaaS services.
I m Rajiv, and I ve been working on a project called tseda (Time Series Explorer).
If you ve ever stared at a messy time series dataset and wondered where to even start, I built this for you! It s an app designed to take the headache out of exploring and decomposing regularly sampled data (hourly or greater).
The "Why" behind it: I wanted a tool that didn't just give me a raw plot, but actually helped me understand the structure of the data. tseda uses Singular Spectral Analysis (SSA) to break things down into Trend, Seasonality, and Noise, but it does the heavy lifting for you automating window selection and suggesting component groupings so you aren't just guessing.
