ScoutDeck
The internet has enough opportunities, find the right ones.
What it does
The internet doesn’t have an opportunity shortage. It has a relevance problem. ScoutDeck searches the live web for jobs, scholarships, hackathons, fellowships, and more, then reads, extracts, and ranks the best matches for you. Get ranked opportunities with specific reasons tied to your skills, interests, location, and preferences, not generic matches. If only 3 are genuinely strong, you’ll get 3. Quality over quantity.
Opportunity intelligence for people in motion.
ScoutDeck is your personal signal layer for fellowships, grants, builder programs, open calls, and the rooms where your next big thing can begin. The world does not need another directory. It needs a thoughtful scout: one that understands the through-line between your curiosity and your next move. Give ScoutDeck the raw material: what you care about, what you can make, and the kind of room you want to be in. Our scout searches across the live web, connecting new openings to the context that makes them matter to you. Receive a considered, small set of opportunities with the why, the fit, and the next step already clear. Every recommendation starts with more context and ends with a reason.…from scout-deck.vercel.app
Does the same job
all alternatives →
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 · 16d 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 · 9d 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 · 16d ago · simedw.com