Track any fast-moving tech topic and know what changed, what's holding up, and what to do next.
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last30days tracks the public conversation around the fast-moving technologies, markets, and companies your team cares about — and turns it into intelligence you can act on: what changed, what's holding up, and what to do next.
Built for the people who get paid to be right — agencies, consultants, and investors — and white-labeled to deliver to your clients as your own research.
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Track public signals
across the places people talk
Extract findings
facts, opinions, predictions
Deliver cited briefs
on your cycle — every finding sourced
Compound memory
every update builds on the last
Queryable topic intelligence
ask the topic anything, grounded
Most research tools hand you a snapshot and forget it. We keep a running memory of every topic — connecting each finding, its sources, and the players involved — so your intelligence compounds the longer you track. The brief is one surface of it.
Live Knowledge Graph
Anonymized and extracted from real topics.
Every brief opens with what changed since last time — so you catch the shift at a glance.
Every finding and the players behind it, tracked over time — what's emerging, what's holding up, and what's been disputed.
Pose a question to a topic and get a grounded, cited answer drawn from its whole knowledge graph — it shows its reasoning, and never makes things up.
The longer you track a topic, the more it knows — a moat a newsletter will never have.
A company, a tool, a trend, a person — anything moving in tech.
Reddit, Hacker News, X, YouTube, TikTok, Perplexity and more — the last 30 days.
What changed, what people think, and what it means — in your inbox.
Every brief is extracted into a living knowledge graph — ask the topic anything, anytime.
The internet is loud, and most of it isn't fact. We label and weight every finding by what it actually is — so a rumour on X never reads like a verified market fact.
How we tag every finding
What we read every cycle
Decision-ready, never a link dump. Fact, sentiment, and interpretation are visibly separated — so you can trust what you act on. This is the defense against the one-hallucinated-report failure mode.
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Concrete, dated, and cited — the last 30 days.
Sentiment, labelled as sentiment — never as fact.
The doubts being voiced, surfaced early.
The openings worth moving on now.
Curated, not a dump.
The “so what” for your role.
Claude Code has crossed from developer curiosity into infrastructure-grade engineering tooling. The dominant signal this month: the practitioner community is converging on 'loop engineering' as the successor paradigm to prompt engineering, Anthropic reportedly launched Claude Code Routines (scheduled/event-driven autonomous runs) as a research preview, and a new Claude model (Sonnet 5) reportedly shipped as the default. Simultaneously, real production deployments are surfacing concrete failure modes — MCP tool gaps causing divergent cost calculations, context loss between sessions, and architectural drift in long-running agent projects. The tooling ecosystem around Claude Code is exploding (memory layers, reliability testers, workflow composers, cost reducers), signaling a maturing but still rough production landscape. Key caveats: Routines and Sonnet 5 details rest on a single non-Anthropic source each and are unconfirmed by official Anthropic communications found in these findings.
Anthropic is navigating its most turbulent 30-day stretch yet: a reported Claude Fable 5/Mythos dual-model suspension under US government export-control orders, a forced global access cutoff that sparked international backlash, an unconfirmed IPO filing, and a widely-cited ~$965B valuation — all while shipping Claude Tag for Slack, rolling out agentic features, and managing mounting user anger over pricing, refunds, and identity verification changes. Many of the most dramatic claims rest on social sources or single secondary outlets; treat hard facts (IPO filing, valuation, government directive terms) as reported-only until confirmed by primary sources.
The AI coding-agent space saw a historic capital concentration burst in the last 30 days: SpaceX reportedly acquired Cursor (Anysphere) for $60B in an all-stock deal, OpenAI announced an agreement to acquire cloud infrastructure startup Ona to power long-running Codex agents, and Cognition (Devin) raised $1B at a $26B valuation. All major deal figures rest on media reports and aggregator sources — not confirmed SEC filings or official disclosures — and should be treated as reported, not settled fact. Practitioners on the ground are focused on harness quality, memory persistence, and audit trails rather than model benchmarks.
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White-label topic intelligence for agencies, consultancies, and funds.
First brief free — your topic, your inbox, in about ten minutes.