product market fit is simply a good explanation

Raindrop is absolutely firing on all cylinders right now. If you think understanding, improving, and building agents is important… we’re hiring

who said b2b saas has to be ugly? new in Raindrop: conversation x-rays🩻

almost a year ago, Raindrop fundamentally shifted the conversation around agent observability. our competitors started by arguing with us, and then started trying to copy us. all the while, we've been busy with our next act... and now, we have so much to show you all.

.Raindrop now has a powerful sdk it's not another thin query language built on top of a data warehouse. it's a full toolkit for building agents that can fix themselves. more below:

!! we're using this new sdk to page us every time something breaks

Happy customers

we’re excited to announce trajectory explorer: the first sane way to navigate agent traces. every decision your agent made is now searchable in seconds only in Raindrop

once again the Raindrop is ahead of the curve…imagine searching for expensive, error prone, or slow tool calls across all your agent traces. nothing like this exists yet

Really like the UX/data viz in some of these Increasingly important for sorting through multi-agent / parallel workflows to tame the trace spagetthi

This is "taste" for those wondering: - solving a real problem - in an interface your grandma could use - communicated in a 32 second video with no filler

Raindrop will be remembered as the company who did to AI infra what the Mac did to the personal computer. It’s a matter of time until frontier labs recognize the value and make a move.

Raindrop feels like extremely futuristic software. It lets you explore user intent and agent trajectories in a way that didn't feel possible years ago. Big fan of them. Every part of what they've built is thoughtful, solving design problems for a new kind of observability.

absolute 🔥, all other trajectory viewers are unusable in comparison

today, we're introducing self diagnostics: the first ever way for agents to proactively self-report issues they encounter. welcome to the future of agent observability.

We are also hiring for this.

we are growing fast and working on humanity's last problem. if you are a great engineer, we will beat any offer you have.

New evals on Agent Arena: ✨LLM observability✨ AX (agent experience) ranking as of 3/03/36: 1/ Raindrop 2/ langfuse.com 3/ @langchain 4/ Respan 5-6/ Portkey, Braintrust 7/ Helicone (now part of Mintlify) 8/ Arize AI More on 2027.dev/arena We measure

average day at Raindrop

The best way to celebrate 1 year of Responses API is to take a look at what you've shipped. Raindrop is using it to monitor agent behavior in production.