Reflect
A private AI journal that remembers and connects your story
What it does
Reflect is a private AI journal that remembers your story instead of treating every entry like a blank slate. Write, record voice entries, or scan handwritten pages, then get reflections grounded in your history. Ask questions across past entries, revisit memories and life events, and explore Life Map—a visual network connecting the people, places, goals, themes, and moments that shape your life. Your journal grows more useful as your story grows.
Reflect connects your journal entries, memories, relationships, goals and experiences to help you discover patterns, explore your Life Map and understand yourself more deeply.
Reflect connects your entries over time, so you're not writing into the void. Get AI reflections, pattern discovery, and a visual Life Map that grows with you. See something about your life that you couldn't see yourself. Relationships, decisions, goals, places, experiences, and emotions shape one another across years of your life. But when those moments are remembered one at a time, the larger picture can be difficult to see. Understand how people, memories, goals, places, and experiences relate. Most journals treat every entry as a fresh start. Reflect builds a connected picture over time — memories, people, places, goals, and themes that inform each new moment of reflection. Your journal…from reflectjournals.com
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 · 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