What's moving through AI, ranked by lead time.
Radar is a running index of what's moving through the AI ecosystem, ranked by where each story sits on the lead-time gradient: papers become repos become community threads become analysis. Every ingest run of the pipeline takes a fresh snapshot — several times a day, on no fixed clock — and the stamp below is the exact time of the one you're reading. The earlier a story is caught, the more head start you have before the crowd. Every row carries its receipts — which source saw it first, how many independent sources have it, how long ago — so the ranking explains itself. It's the public face of the same pipeline that feeds Vlad's Newsletter.
frozen 25 Sept 2026, 22:49 UTC · 67/78 feeds live · 17,142 tracked since 12 Jun
- 1 v2.1.283 github.com · 1h
- 2 Show HN: NerfWatch() – Track AI degradation with daily tests and community votes nerfwatch.lol · 2h
- 3 Show HN: Ekselio – Loveable for Finance Workflows (local first) gptbeyond.com · 2h
- 4 Revealing the details of how OpenAI agents hacked Hugging Face swarmtraces.org · 2h
- 5 What did AI researchers think at the end of 2024? lesswrong.com · 2h
504 stories entered the watched feeds in the last 24 hours — 287 in papers, 8 in repos, 186 in community, 23 in analysis. The scored board skews to Community (38 of 40). No stories are corroborated across independent sources yet, and the median lead across the ledger's 25 observed fires is 12h — measured, not estimated. Freshest receipt, 9h ago: caught in arXiv cs.AI 6h before Show HN carried it. The oldest survivor has held the board for 6h.
- Papers → Community +6h lead arXiv cs.AI first · then Show HN 9h agoHard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution
- Community → Analysis +8h lead Hacker News front first · then Dynomight 21h agoWhy is the human body so crap except for the liver?
- Repos → Community +7d lead GitHub Trending Python first · then Show HN 2d agoMG1937/ASC
- 1
- 2Show HN: NerfWatch() – Track AI degradation with daily tests and community votesnerfwatch.lolLive Signal Community ·Tools · 2h old · via Show HN
- 3Show HN: Ekselio – Loveable for Finance Workflows (local first)gptbeyond.comLive Signal Community ·Tools · 2h old · via Show HN
- 4Revealing the details of how OpenAI agents hacked Hugging Faceswarmtraces.orgLive Signal Community · 2h old · via Hacker News front
- 5What did AI researchers think at the end of 2024?lesswrong.comLive Signal Community ·Policy & safety · 2h old · via LessWrong
- 6Show HN: Piloxa – an MCP server that sends USPS Certified Mail from your AIpiloxa.comLive Signal Community ·Tools · 2h old · via Show HN
- 7Show HN: A free resume builder where the AI can rewrite but can't inventnokku.payanai.comLive Signal Community ·Tools · 2h old · via Show HN
- 8Show HN: Drift – A clickable map of ideas unfolding from single question (demo)echohive.aiLive Signal Community ·Tools · 3h old · via Show HN
- 9Show HN: AgentLens – Replay and compare Codex runsgithub.comLive Signal Community ·Tools · 3h old · via Show HN
- 10Show HN: Agate, a 260M image model with separate thinker and rendererhuggingface.coLive Signal Community ·Models · 3h old · via Show HN
- 11Show HN: Paper-docx – agent-native Python-docx fork with 78% fewer DOCX failuresgithub.comLive Signal Community ·Tools · 4h old · via Show HN
- 12Ollaya – Ollama for open-source, Jev-style decision modelsollaya.devLive Signal Community ·Tools · 4h old · seen in 2 sources
- 13Alignment Forecasting: Predicting Misalignment from Training Datalesswrong.comLive Signal Community ·Policy & safety · 4h old · via LessWrong
- 14Spurious probes as a black-box alternative to activation probinglesswrong.comLive Signal Community ·Research · 4h old · via LessWrong
- 15Commodified Intelligenceherecomesthemoon.netLive Signal Community ·Business · 4h old · via Lobsters
- 16Applications open: Winter 2027 AFFINE Alignment Seminar (due Nov 22)lesswrong.comLive Signal Community ·Policy & safety · 4h old · via LessWrong
- 17Show HN: I couldn't deal with another Claude Code tabaidash.devLive Signal Community ·Tools · 4h old · via Show HN
- 18Meta's Muse appears to use an OpenAI model labeled muse-specialmouse.devLive Signal Community · 5h old · via Hacker News front
- 19We need a better theory of polarization, because it's failing to predict the AI debatelesswrong.comLive Signal Community ·Policy & safety · 5h old · via LessWrong
- 20Show HN: Reliopt – Pareto-frontier, contract-gated optimization for LLM programsgithub.comLive Signal Community ·Tools · 6h old · via Show HN
- 21Show HN: Doom or Bloom, map your AI worldview with Jevdoom-or-bloom.comLive Signal Community · 6h old · seen in 2 sources
- 22
- 23Show HN: PromptPad- A lightweight editor for long coding promptsgithub.comLive Signal Community ·Tools · 6h old · via Show HN
- 24Proaction boosts sales 60% and saves 75+ hours with Codexopenai.comAI Firehose Analysis ·Practice · 4h old · via OpenAI News
- 25Show HN: Cafe(s) and the Context You Can't Write Downmetalbear.comLive Signal Community ·Practice · 6h old · via Show HN
- 26Show HN: BuyerCue – Find potential customer by paid-placement evidencebuyercue.ioLive Signal Community · 2h old · via Show HN
- 27Show HN: Pbi-guard – Unit testing for Power BIgithub.comLive Signal Community · 2h old · via Show HN
- 28Show HN: I read ISO 273 off the standard because the online charts disagreesupra.silviaai.devLive Signal Community · 2h old · via Show HN
- 29Show HN: I made a 3D rock climbing analysis tool using iPhone LiDAR [video]youtube.comLive Signal Community · 3h old · via Show HN
- 30Ask HN: Who's still keeping a DOS machine up because the business depends on it?news.ycombinator.comLive Signal Community · 3h old · via Hacker News front
- 31
- 32Show HN: Aslmp, an async Python SLMP client for Mitsubishi MELSEC PLCsgithub.comLive Signal Community · 4h old · via Show HN
- 33Show HN: CK3DNA – searchable CK3 character DNA and coat of arms codesck3dna.comLive Signal Community · 4h old · via Show HN
- 34Show HN: Digitron – a virtual analog synth and sequencerapps.apple.comLive Signal Community · 4h old · via Show HN
- 35Show HN: Free .has-a.computer sub-domain for your websitehas-a.computerLive Signal Community · 4h old · via Show HN
- 36Show HN: Obsidian Plugin for OpenModelicacommunity.obsidian.mdLive Signal Community · 4h old · via Show HN
- 37Alan Kay: Shannon gave us a way of dealing with noisy channels [video]youtube.comLive Signal Community · 4h old · via Hacker News front
- 38
- 39Show HN: I made a WWI dogfight game that runs in the browsergamedev.plLive Signal Community · 6h old · via Show HN
- 40
How Radar works
The gradient. Stories travel through the AI ecosystem in a rough sequence: they appear first in papers (arXiv, Hugging Face) or repos (GitHub), then surface in community discussion (Hacker News, Lobsters, LessWrong), then get interpreted in analysis (operator newsletters and essays). Radar ranks by where a story sits on that gradient. The earlier it is caught, the more lead time you have before it reaches consensus. The spectrum at the top of the page shows the last 24 hours of that flow — every story that entered the watched feeds, counted at the station where it first appeared.
The score. Each story gets a recency-decayed signal score. Every source tier carries a weight and a half-life, so live signal moves fast and fades fast while analysis sources move slowly and stay relevant longer. A story scores higher when two or more independent source families carry it — corroboration, not popularity, which is why five feeds of the same site count once. A small bonus applies when a story has visibly climbed the gradient. Stories past their tier's maximum age expire from the board.
Heating and lead time. A story is heating when it has surfaced in two or more independent source families. When the same story is observed first at an earlier stage and later at a higher one, Radar records the gap in hours — for example, seen on arXiv fourteen hours before it reached the Hacker News front page. That gap is the reader's lead time, and it is a measured span, never an estimate.
The classifier. Two judgments on this page are made by a model, not read from the feed log. A small typed classifier (TypeSafe's Jev) answers one question per story — is it about AI? — and stories it judges not to be about AI move to the bottom of the board; nothing is removed. It was checked against 232 hand-labelled titles before it shipped and agreed with 97.8% of them. The same classifier assigns the topic shown on a story and used by the filter above; a topic appears only when the classifier is confident, and at that setting it matched the labels on 115 of 116 stories. Stories without a confident topic are listed under All.
The honesty rule. Every other value on this page is an observed fact from the feed log — which source carried a story, when, and how many. Beyond those two labelled judgments, Radar makes no claim about what a story means; that is the newsletter's job. When a reading does not exist yet — no stories heating, nothing upstream — the page says so rather than inventing one.
- The spectrum band
- A filled flame tick is an early, lead-time-rich stage; a hollow tick is a later stage; a hollow ring on an empty span is a station with nothing on it yet.
- Signal class
- The tier chip: Live Signal moves fast and decays fast; analysis sources stay relevant longer. The ranker weights each accordingly.
- heating
- The same story in two or more independent source families — not two feeds of one site.
- seen in / via
- How many families carried it, or the single source that did.
Once a week, the operator read on what actually changed and the move it calls for. No digest, no hype.
Read the newsletter →