ReplyFlow AI
AI-powered replies for customer inquiries
What it does
ReplyFlow AI turns customer inquiries into professional, ready-to-send replies. Paste a message from email, WhatsApp or other channels, and let AI analyze intent, tone and details before generating the response.
ReplyFlow AI analysiert Kundenanfragen mit KI und erstellt sofort professionelle, versandbereite Antworten – für E-Mails, Support und Kundenservice.
Kopiere einfach eine Kundenanfrage aus E-Mail, WhatsApp oder Kontaktformular hinein. ReplyFlow erstellt automatisch die perfekte Antwort und alle nächsten Schritte. Kein Login nötig. Registrierung erst beim Kopieren, Speichern oder PDF. Kein Chat. Kein Prompt. Der schnellste Weg von der Anfrage zur perfekten Antwort. Nachricht aus jedem Kanal – E-Mail, WhatsApp, DM – direkt ins Feld. ReplyFlow erkennt Branche, Kaufabsicht, Dringlichkeit, Ton und Lücken. Betreff, Antwort, Angebot, Follow-up, Rechnung – als DIN-5008-konformes PDF versandbereit. Vom Einfügen bis zur versandbereiten Antwort – vor deinem nächsten Sip Kaffee. Professionell, empathisch, verkaufsstark. Keine Floskeln, keine…from secondreply.de
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ReplyFlowJul 2026 · replyflow.onhercules.app · ▲3AI-powered replies for customer support, in seconds



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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
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AI · 19d 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, August 2026
the whole month →- TL
Life & fun · 11d ago · louisabraham.github.io



Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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