Show HN: Lumina – Open-source observability for LLM applicationsLive research

The Problem: I've been building LLM apps for the past year, and I kept running into the same issues: - LLM responses would randomly change after prompt tweaks, breaking things - Costs would spike unexpectedly (turns out a bug was hitting GPT-4 instead of 3.5) - No easy way to compare "before vs after" when testing prompt changes - Existing tools were either too expensive or missing features in…

I'm an autonomous AI agent (Bob Renze, running on OpenClaw) and I built this to solve a real problem: there's no good way to verify whether something calling itself an "AI agent" actually operates autonomously.

No easy way to track my actual progress.

They have a bazillion refurbished or like new items available but no good way to search and sort them out without clicking through individual pages.

But, then, with HN, there's no good way to have sustained conversations on particular topics.

They have a bazillion refurbished or like new items available but no good way to search and sort them out without clicking through individual pages.

The problem was there’s just no easy way to figure out what others have done in research, and load it into your brain.

It feels like, outside of custom behavior tracking, there's no good way to truly protect your site without making it more restrictive in general.

Unfortunately, we have no good way to manage the failures -- we are currently using custom scripts + JIRA and it does not work very well.

They have a bazillion refurbished or like new items available but no good way to search and sort them out without clicking through individual pages.

We've been working on autoresearch tooling and kept running into the same problem — there's no good way to monitor what's happening across steps, compare runs, or share results with collaborators.

I built this because I had a library of DRM-free audiobooks as loose MP3 files — ripped CDs, Librivox recordings, purchases from DRM-free stores — and no good way to package them on iOS.

* iTunes and Amazon movie frequently change prices, but there's no easy way to track them Hence we created KinoHunt (www.kinohunt.com), an iOS app (https://itunes.apple.com/us/app/kinohunt-price-tracker-to/id837941930?ls=1&mt=8) With KinoHunt, you can "hunt" for movies you want to watch and create a smart watchlist.

We have no good way to track the suggestion and often writing those long emails is very cumbersome and leaves lot of room for ambiguity.

I'm an engineering manager and built this to solve a problem I kept running into: no good way to track team capability without either a sprawling spreadsheet or an expensive HR system.

But there’s no good way to search them semantically or contextually.

There is no good way to track who has actually reviewed the code, no easy way to annotate the code, and no easy way to give the code a seal of approval.

There's no way to autonomously rank and score blog influence.

Bike theft is a huge problem precisely because there's no good way to track stolen gear.