What do I say?
Kill draft anxiety. Get 3 human replies in your own voice.
What it does
Built in 24 hours for the Replit Buildathon, 'What Do I Say?' is the micro-agent that kills draft anxiety. Paste a message, pick your tone (Witty, Firm, Kind, etc.), and get 3 human-sounding replies in under 60 seconds. Unlike generic chatbots, we focus on preserving YOUR voice while handling the friction of awkward replies. It's the simple, fast tool for the moments you just don't know what to say. Stop staring at the screen and start shipping your messages."
Does the same job
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- CCCallhackernews.com – The missing voice interface for Hacker News2024 · callhackernews.com · ▲9
Hey there HN! I believe the future of AI communication will be more voice and less text. Low-latency realistic voice interactions are finally becoming feasible. I've built a few voice-first apps on Retell AI using Elevenlabs voices. This one uses Claude Haiku for responses and Mixtral to switch between posts and comments. The AI knows about the top 30 posts and their comments on Hacker News right now. After a Google sign-in you can try it free for 10 minutes. I'd love to hear your thoughts!
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com