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DBOSify

Drop-in Temporal replacement built on Postgres

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HN · launched Jun 24, 2026 · 91 upvotes (top 9%) · 0 views

Niche: distributed systems frameworks · 62 launches, 2 in the last 7 days ▼ -78% · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • Not AI
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

No Building a durable execution engine and drop-in Temporal replacement requires deep distributed systems, database internals, and transaction coordination expertise that cannot be vibe-coded.

What it would actually take: This requires implementing durable execution primitives, deterministic workflow replays, exactly-once event semantics, and distributed locking natively on top of PostgreSQL. The system needs rock-solid handling of race conditions, deadlocks, worker queues, and connection pooling under extreme concurrency. It requires veteran distributed systems and database kernel engineers to guarantee crash resilience and correctness without losing state.

Discussion

19 comments analyzed.

Competitors mentioned: River (Go durable execution engine), Temporal (workflow orchestration), DBOS (original durable execution framework)

Concerns raised: Aurora DSQL lacks core Postgres features like foreign keys, Unclear positioning as Temporal replacement vs. Temporal Python SDK replacement, Worker nodes shown outside Postgres contradicts 'no infrastructure' claim, Poor customer support responsiveness (contact form, pricing inquiries), VC-backed company rug pull risk

Feature requests: C# support, Full agent workflow examples

Competitors

Other products that read as similar to this one : 682 launches clear the similarity bar, closest 8 shown.

Attention rank: #55 of 683 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 236 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.