Alternatives
Products that do what Tidal does
Quote 847 Items in 30 Minutes.
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The stack: two agents on separate boxes. The public one (nullclaw) is a 678 KB Zig binary using ~1 MB RAM, connected to an Ergo IRC server. Visitors talk to it via a gamja web client embedded in my site. The private one (ironclaw) handles email and scheduling, reachable only over Tailscale via Google's A2A protocol. Tiered inference: Haiku 4.5 for conversation (sub-second, cheap), Sonnet 4.6 for tool use (only when needed). Hard cap at $2/day. A2A passthrough: the private-side agent borrows the gateway's own inference pipeline, so there's one API key and one billing relationship…
Mar 2026 · georgelarson.me
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Hi HN :) really excited to share this with you. The one thing AI reliably does is generate noise. Half the tools I see launch are just machines for producing more noise across more channels. And people are starting to see this in the form of emails in their inboxes as spam filters are struggling. There used to be a useful signal in email: the effort a sender put into customizing a message was a rough proxy for how relevant it actually was. AI killed that. Now it's customized slop with the appearance of effort with none of the cost. It is painful that the open internet / open channels…
Jul 2026 · captchainbox.com
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Use AI to create an RFQ & get matched with local factories
Nov 2025
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2016 · agent48.co
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AI cold emails, follow-ups & quote replies in 60s
Aug 2026 · getproreach.com
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Like grep but for natural language questions. Based on Mistral 7B or Mixtral 8x7B. Example: fltr --file emails.txt --prompt "Is the following email spam? Email:" --batch-size 32 It will output all lines in the file where the answer is yes. Text file input tokens per second: - Nvidia RTX 3070 with 8GB memory: Mistral 7B: ~52 tok/s, Mixtral 8x7B: ~28 tok/s - Intel I5-6500 with 8GB memory: Mistral 7B: ~5 tok/s, Mixtral 8x7B: ~2 tok/s Supports: Linux (x86_64) & macOS (x86_64 & arm64)
2024 · github.com
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From speech to actionable insights with flexible pricing
Dec 2025 · apps.apple.com
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AI replies in your Gmail inbox — one click, done.
Jun 2026 · fastreplyai.tuanhoang.dev
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Hello HN! I'm Peter, one of the folks who helped create Tidepool. We last shared Tidepool with HN about 7 months ago https://news.ycombinator.com/item?id=36957762 Since then, the AI field has moved incredibly quickly and we’ve iterated a lot on our product! The core problem we are trying to solve is: there's a lot of useful business insights you can get from text data, but it's hard to do analytics on it. - SQL is built for tabular / structured data, but when it comes to text, the best you can do is do keyword search. - In the pre-LLM world, you might resort to training a…
2024 · tidepool.so
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