vasilyt

7 ms·

1.
Show HN: Startup Domain Search – Free AI Domain Generator with Scoring and RDAP(domainsearcher.app)
2 points by vasilyt 6mo ago|1 comments
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by vasilyt 6mo ago
We're still figuring out the exact tiers above 1,000. The shared pool model keeps our marginal cost per account very low (domains cost ~$10/year and serve hundreds of agents), so we can afford to be generous. The likely path is a
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by vasilyt 6mo ago
Good question. A few layers: (1) Agents authenticate via Ed25519 challenge-response, so every account is tied to a keypair — no anonymous throwaway accounts. (2) We track per-agent reputation based on send patterns, bounce rates, and compla
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by vasilyt 6mo ago
Hey HN, I built KeyID because I kept hitting the same wall: every AI agent that needs to sign up for a website needs a real email address, and there's no good free way to get one programmatically. The problem: Agents need email for sig
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Show HN: KeyID – Free email and phone infrastructure for AI agents (MCP)(keyid.ai)
11 points by vasilyt 6mo ago|9 comments
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by vasilyt 7mo ago
Love this, and really appreciate you sharing concrete lessons from running at that scale. Your point about consensus breaking between 10 and 300 tracks with what we’re seeing too. We chose Queen/Worker mostly for operational predictabi
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by vasilyt 7mo ago
Setup is installer-first. There are install files for macOS and Windows, so you don’t need to configure dev tooling or run build steps. Install, launch, and the local server/UI opens. From there, you create a room and set an objective.
8.
by vasilyt 7mo ago
ChatGPT or Claude are great for request-response work when you actively prompt them. Quoroom is built for persistent operation: a Queen + Workers system that runs 24/7 toward an objective, not only when you send the next message. The r
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by vasilyt 7mo ago
Hi HN — I built Quoroom, an open-source experiment in collective AI. Instead of one agent, a “room” has: - a Queen (strategy + delegation) - Workers (specialized execution) - Quorum voting for decisions It runs local-first (Mac/Windows
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Show HN: Quoroom – local AI swarm (public research)(quoroom.ai)
4 points by vasilyt 7mo ago|7 comments
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by vasilyt 7mo ago
Daymon uses Claude CLI, which is Anthropic's own official tool. Running claude -p "prompt" is exactly what it's designed for. MCP is also their own protocol. You're not scraping, reverse-engineering, or bypassing au
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by vasilyt 7mo ago
Nothing. They probably will, eventually. But their consumer business model relies on session limits pushing users from Pro ($20) to Max ($200). Native scheduling would directly undermine that — if Claude can queue work across your idle time
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by vasilyt 7mo ago
That's exactly how I started. It works for one or two tasks. Then you want session continuity so runs build on each other. Then you want different system prompts for different tasks. Then you want to see run history, retry failures, pa
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by vasilyt 7mo ago
Hey HN, I built Daymon because I kept running into the same problem — I use Claude daily, but every conversation is a dead end. No way to schedule recurring tasks, no way to pick up where you left off. Tools like OpenClaw exist, but they ru
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Show HN: Daymon – Open-source app that gives Claude scheduled tasks(github.com)
6 points by vasilyt 7mo ago|7 comments
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BitClave wants to ‘decentralize’ search, let users profit from their own data(venturebeat.com)
1 points by vasilyt 9y ago|0 comments