/ latest issue
browse archive →/ how we pick
200+ sources in. 8 stories out.
Each week we read so you don't have to. The funnel:
Arxiv, GitHub trending, vendor changelogs, niche Discord/Slack communities, 50+ other newsletters, conference talks.
Anything that looks more than a press release or a tweet thread gets opened, read, and triaged.
Papers skim-read for the abstract + method. Tools tried, not just bookmarked. Releases checked against the actual changelog.
Each with a short editor's note on why it matters. If a week's quiet, you get fewer. We don't pad to hit a number.
/ and then it learns
Then the loop closes. After each issue an automated retro reads which stories the list clicked — in aggregate, never per-reader profiles — and tilts the next week's picks toward what actually got read. First-party only: no third-party trackers, nothing sold or shared.
/ the deal
What's in — what's out.
- +Around 8 curated stories per issue. Ads (header banner, inline "Sponsor", classifieds) are clearly marked and do NOT count toward that number.
- +Editor's note on every story — a short take on why it matters.
- +Quick "in brief" bullets for the week's smaller news.
- +Release-notes round-up for tools you already use.
- +A reply-able human at the other end.
- −Daily emails or LinkedIn-thinkfluencer hot takes.
- −"Top 27 AI tools for productivity!!!" listicles.
- −Affiliate-link traps disguised as recommendations.
- −Third-party tracking pixels or cookies, address-list resales.
- −Three-step "are you sure?" unsubscribe flows.
/ quick answers
Before you subscribe — what you'll ask anyway.
- Is it really free?
- Yes. Costs are covered by one or two clearly-labelled sponsor slots per issue. Never disguised as content, never tracked across the web.
- How often will I hear from you?
- Once a week. Fridays around 10am CET. No mid-week blasts, no upsell sequences, no "oh and one more thing".
- How is this different from TLDR AI or Ben's Bites?
- Those are broad daily aggregators. We're weekly and opinionated — a developer's view on what's actually production-ready vs. demo-ware.
- Is this AI-generated?
- No. Stories are picked, summarised, and noted by a human (hi, Jarek). LLMs help with first-pass screening only — every piece that ships has been read end-to-end.