Seminara
Live presentations. Unlimited scale. Zero camera time.
What it does
Seminara is an autonomous presentation platform that deploys a digital teammate to run your live sessions. Whether you are presenting a report, training teams, or nurturing prospects, our AI host presents your slides and answers attendee questions out loud in real time. Achieve unlimited scale and give every attendee a guided, interactive experience with zero camera time.
Scale your live presentations with zero camera time. Seminara gives you an autonomous AI host that runs your deck, engages your audience, and converts attendees live.
Seminara gives you an autonomous AI host that presents your deck and converts attendees live. Seminara gives you an autonomous AI host that runs your presentation, engages your audience, and converts attendees live. Whether you're presenting a report, training teams, or nurturing prospects. Seminara bridges the gap by giving your attendees an instant 1-on-1 expert host while giving your team 24/7 infinite scale. You already have the content. Give it to Aura, do a quick dry-run in the test room, and generate a unique link to start sharing immediately. Train Aura instantly with your slides and background knowledge so she understands your session goals. Run a private rehearsal. Watch Aura…from seminara.online
Does the same job
all alternatives →

Seminara Agentic Suite5d ago · github.com · ▲3Now your AI agents can present your slide decks for you



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 · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
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