I built Argus after repeatedly getting frustrated with how opaque Claude Code sessions were there was no clear way to understand why a session cost more, looped, or behaved unexpectedly, so I designed a lightweight VSCode extension that parses the local .claude session logs and turns them into a visual, step-by-step time machine debugger, showing tool calls, token usage, retry loops, and file interactions in a way that s actually explorable; the core idea was to bring observability (something we take for granted in backend systems) into AI coding workflows, so I built it using a simple TypeScript + React stack with a focus on fast local analysis, heuristic-based insights, and zero external dependencies, iterating quickly by analyzing my own sessions and discovering patterns like repeated file reads and costly retry loops, which ultimately shaped the product into both a debugging and cost-visibility tool for developers using Claude Code.
Dropshippers and e-commerce sellers spend hours manually researching competitors checking their ads, estimating revenue, tracking SEO, and collecting winning creatives. It's time-consuming, fragmented, and takes away from actually growing their business.
Most portfolio tools I found for actors and artists had one of three problems: they looked dated, cost more than an early-career artist wants to spend, or made every content update depend on a developer.
So I built ArtistPass: a polished public portfolio plus a browser-based Admin for credits, gallery, showreel and contact details.
I nearly kept expanding it into a multi-template SaaS. Instead, I stopped at a useful open-source release and put it in the open to see what real demand appears.
Don t accidentally cross a tax/visa threshold while traveling
Hi everyone! I joined the small Flamingo Compliance team less than 2 weeks ago and we re building an iOS app that helps frequent travelers and global teams track days-in-country and generate an audit-ready travel record. We don t give legal advice, we help you keep clean evidence and visibility.
Been building this for a few months, mostly because I couldn't find anything that actually solved my own problem.
The problem: I want to deeply understand a topic capitalism, samurai culture, existentialism, whatever and I don't know where to start. I google "best books on X", get 15 listicles, pick one randomly, finish it, and still feel like I'm missing context. I don't know what I should have read before it. I don't know what to read next. I don't know which documentary would make it click visually.
So I started building Cognivium.
The idea is simple: you search a book or topic, and instead of just getting "people also read", you get:
I spent most of last year getting a multi-agent AI system into actual production at a European bank. Real transactions, not a sandbox.
Accuracy wasn't the issue. Auditability nearly killed us. Banks don't ask "is it right" they ask "can you show a regulator exactly why it did that." We rebuilt half the product around this after the first compliance review.
Also... nobody mentions that the orchestration takes longer than the model itself. Fallbacks, confidence handling, who reviews edge cases at 11pm. The LLM part was maybe 20% of the work.
And pricing. They want fixed costs, you have variable inference costs. That contract conversation took longer than building the thing. Solve that before you get to legal.
