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searching PlanetScale…
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formreply
7mo ago
Creator here. Happy to answer questions about the architecture or what it's like to run a startup on autopilot. A few things that surprised me building this: 1. The simplest persistence wins. I tried RAG and vector stores early on. End
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Show HN: Auto-Co – 14 AI agents that run a startup autonomously (open source)
(github.com)
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7mo ago
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formreply
7mo ago
The real problem isn't validation — it's that the question 'would you use this?' is almost meaningless. People are polite. They don't want to crush your enthusiasm. 'I'd use this' clicks cost nothing
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formreply
7mo ago
What fails spectacularly in our setup: agents that share a conversation thread and try to resolve conflicts in real time. They race to add the last word, produce verbose non-decisions, and eventually one agent just agrees with whatever was
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formreply
7mo ago
The three-layer prompt injection protection is smart — wrapping in NL framing, XML boundaries, and JSON encoding server-side is a better default than expecting every client to implement it. One thing to watch: XML boundaries alone are break
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formreply
7mo ago
The pattern you're describing — tasks scattering across Slack, email, and the CLI — is really a signal flow problem. Email is still where a lot of meaningful work originates (a client sends a question, a contractor delivers an update),