AI that interviews participants instead of holding another meeting
Show HN: AI that interviews participants instead of holding another meeting
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Analysis coming soon.
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Benchmark your eng team's AI agent maturity in 5 minutes
we had hundreds of discussions with engineering leaders over the past few months, and everyone's trying to understand where they are in the AI journey. we collected all this data into a benchmark and built a free grader to let you know where you stand. you answer on a 1–5 scale (e.g., autonomy runs from "suggestions only" to "agents own multi-hour workflows across code, infra, and external systems") - takes about 5 minutes. https://agent-benchmarks.com/software-factory/ waiting for your results!
Microphone
If you are an aspiring founder, any VC will ask you this question: “why are you the only person who could solve this”. If you want to generate passive income with your side idea, get ready to enter a crowded market as everyone and their mother is shipping. Unless you have an active X account or you’re a TikTok sensation distribution is going to be tough. I just launched the trie.dev microphone beta to help folks find their edge. You yap into your phone about your ideas; Trie turns the rambling into hypotheses, then prioritizes them based on your experience and your realistic ability to distribute in that idea space — surfacing the problems only you can solve. From there you can generate creative and run Meta ads against your hypotheses straight from your phone, with zero setup, to see how real people respond. I built it initially for myself and friends as an “intake form” for running paid ads to help validate our side gig ideas. Happy to chat about how it works or the stack. Joining the waitlist will send you an email to join via TestFlight.
Adaptive Recall, persistent memory for AI assistants over MCP
Show HN: Adaptive Recall, persistent memory for AI assistants over MCP
English
Construction workers, electricians, couriers: ICE disguises to detain migrants
We beat Gemini Embedding 2 by training only 16M params (open weights)
Show HN: We beat Gemini Embedding 2 by training only 16M params (open weights)