Stay in the loop.
The easy way.
Too many papers, too many launches, too many feeds, not enough hours. We turn it into your daily briefing — just press play.
Thursday, April 9
Your personalized tech briefing
Here's what happens
before you wake up
You tell us who you are
Your role, your specializations, your familiarity with each topic. An ML engineer tracking alignment gets a fundamentally different briefing than a PM exploring AI strategy.
We build a briefing that matches your brain
Not just filtering — rewriting. The same story is explained with architecture details for an expert and with context and analogies for someone earlier in their journey. 200+ sources, ranked by what matters to you.
Delivered in your format, sounding human
Listen as a podcast generated with ElevenLabs' research-grade speech synthesis, or swipe through story tiles. Full transcript and linked sources with every episode.
Where your briefing comes from
200+ sources across research, industry, and news — every claim linked back to its original source.
Research Papers
Open-access papers and breakthroughs, summarized at your depth level.
AI Lab Blogs
Official announcements, release notes, and technical deep dives.
Developer Platforms
Product launches, API changes, and platform updates — straight from the source.
Community Feeds
What the community is discussing, via public APIs and open feeds.
Design & UX
UX research, design thinking, and frontend best practices.
New sources added every week.
Your depth.
Your topics.
Slide your familiarity per topic. Pick from 99+ subtopic specializations. Your crypto coverage can be beginner-friendly while your AI briefing cites architecture papers.
“So Meta just launched a new AI model called Muse Spark — and it's closed, not open. That's a big shift. Meta spent years building the Llama series as open models anyone could download and modify. Muse Spark is different: it's built to run inside Instagram, Facebook, and Threads, pulling in posts, Reels, and photos to generate answers...”
“Muse Spark is Meta's first post-Llama-4 model, and it's closed — a direct reversal of their open-weights strategy. It scores 78.3 on MMLU-Pro and 91.2 on HumanEval, putting it between GPT-4o and Claude 3.5 Sonnet. The architecture is a dense 47B parameter model, not a mixture-of-experts, optimized for on-device inference across Meta's product surface...”
What's in every briefing
Podcast or story tiles
Listen on your commute or swipe through cards over coffee.
Every source linked
Know exactly where every claim comes from. Full transcript included.
It remembers you
Your briefing builds on what you already know — no repeated context, no starting over.
Bookmark & revisit
Save episodes. Come back to any past briefing.
Feedback shapes tomorrow
React to stories, flag topics, leave notes.
Daily reminders
Set your time. Your briefing is ready when you are.
Your commute is about to become a compounding curriculum.
We're currently in beta testing. Join the waitlist to get early access.
Coming soon on the App Store. No spam, just early access.
