Weekly Launches
Tagline Discover the newest products, AI tools & startups
What it does
Weekly Launches helps you discover new products, startups, AI tools, SaaS, and useful software launching every week. Explore fresh launches, find tools worth trying, and give builders a place to showcase what they’re creating. We built Weekly Launches to make product discovery simpler for users and launch visibility easier for makers. Instead of searching across multiple platforms, you can explore new products in one place and discover what’s worth checking out.
Weekly Launches is where founders launch what they're building and people discover the best new products every week. Startups, SaaS, AI tools, apps and side projects, ranked in a fresh competition every Monday.
Promising startups, SaaS, AI tools, apps and side projects, built by founders around the world. A new leaderboard starts every Monday. 3 products are competing for the week of August 31 – September 6, 2026. Products picking up momentum right now, regardless of when they launched. Updates, milestones and questions from founders between launches. One email a week: the top ten launches, the category winners, and a short note from the founder who won. No sponsored slots. Compare and use multiple AI models in one powerful workspace. Operating FindUpApp — a platform where every mobile app gets a fair chance to befrom weeklylaunches.com
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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 · 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 · 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 · 16d ago · simedw.com