One thing we think is still underrated in compute platforms is observability.
A lot of infra feels simple until something breaks in production. A webhook fails, a cron job doesn t run, an AI agent gets stuck, or a function times out even though it worked fine in testing.
That is where just running code stops being enough.
In Inquir Compute, we think logs and observability are a core part of the product, because developers need more than raw output. They need context: what triggered the execution, which route or webhook was involved, how long it ran, whether it retried, and what happened right before the failure.
Every AI product I see launching right now is racing to add the most impressive, most complex AI feature they can build. Autonomous agents. Multi-step reasoning. Real-time analysis of everything.
When we started building Murror, we fell into the same trap. We wanted to build the smartest emotional AI possible. Something that could analyze patterns across months of conversations, predict emotional states, generate deep psychological insights.
Something raised in the last couple of months. And it's worth paying attention to.
Runway launched a $10M venture fund + free API credits for startups yesterday. Perplexity launched a $50M fund for seed-stage companies. CoreWeave Ventures launched in September. OpenAI has been running its Startup Fund for a while now.
As usual, Y Combinator came up with segments that are worth investing:
1. Cursor for Product Managers
2. AI-Native Hedge Funds
3. AI-Native Agencies
4. Stablecoin Financial Services
5. AI for Government
6. Modern Metal Mills
7. AI Guidance for Physical Work 8. Large Spatial Models 9. Infra for Government Fraud Hunters 10. Make LLMs Easy to Train
