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Most products have no idea what their AI agents did yesterday

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We build collaboration SDKs at Velt (YC W22). Comments, presence, real-time editing (CRDT), recording, notifications.A pattern we keep seeing: products add AI agents that write, edit, and approve things. Human actions get logged. Agent actions don't. Same workflow, different accountability.We shipped Activity Logs to fix this.Same record for humans and AI agents. Immutable by default. Auto-captures collaboration events, plus createActivity() for your own.Curious how others are handling this.

HN · launched Apr 2, 2026 · 5 upvotes (top 89%) · 0 views

Niche: ai agent observability platforms · 220 launches, 5 in the last 7 days ▼ -64% · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • B2B
  • AI-native
  • Commercial product

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Could you build this?

Partial While basic logging is simple, building an enterprise-grade, immutable audit trail infrastructure with regulatory compliance (EU AI Act, SOC 2), CRDT synchronization, and high-throughput real-time ingest requires sophisticated backend systems engineering.

What it would actually take: A production implementation involves an append-only, tamper-evident log (often utilizing cryptographic hashing or ledger databases like QLDB/ClickHouse), low-latency ingestion queues (Kafka/NATS), and an embeddable React SDK that auto-instruments DOM and CRDT mutations. It requires distributed systems expertise and deep understanding of enterprise compliance frameworks (EU AI Act Art 14, HIPAA, SOC 2).

Discussion

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Competitors

Other products that read as similar to this one : 779 launches clear the similarity bar, closest 8 shown.

Attention rank: #736 of 780 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 147 days after the earliest competitor.

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