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Trend Radar · live · 9 sources

Finds AI topics before they hit mainstream.

Six sources. Velocity-scored, not popularity. Updated hourly.

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signals tracked
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hidden gems
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converging now
See today's top signal ↓Last refresh: 1w ago

Today's top hidden gem

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Convergence

10 cross-source signals in the last 48 hours

106

Anthropic Has Some Alignment Problems

5 signals across 3 sources · first seen 2w ago

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103

Best Claude Code sandboxing option on a Mac?

4 signals across 3 sources · first seen 2w ago

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84

Anyone having issues with claudes response times?

6 signals across 2 sources · first seen 2w ago

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78

Gemini 3.8 Flash: The model no one expected!

2 signals across 2 sources · first seen 1w ago

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62

I gave the real Claude Code CLI a proper text box and it's beautiful

2 signals across 2 sources · first seen 2w ago

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62

Configuring Model Context Protocol (MCP) servers manually is over. ❌

3 signals across 2 sources · first seen 1w ago

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62

Claude's new system prompt really doesn't want to reproduce song lyrics

3 signals across 3 sources · first seen 1w ago

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61

1 month into claude code

3 signals across 2 sources · first seen 2w ago

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59

Why I run Claude on a remote server

3 signals across 2 sources · first seen 1w ago

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58

Gemini Agentic Video Analysis Cuts Token Usage Up to 88%

4 signals across 2 sources · first seen 1w ago

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Full feed

25 scored signals, filterable

Tomorrow's videos

5 drafts ready to record

How it works

Six sources. Velocity over popularity.

GitHub release339 (0%)

Canonical AI repos, polled every 5 min for new releases.

GitHub trending1.8k (2%)

Scraped daily; filtered by AI keyword set.

YouTube2.6k (3%)

AI-niche channel uploads, views-per-hour vs channel median.

YouTube search1.2k (2%)

Discovery queries to catch breakout creators.

Reddit40.4k (55%)

Tavily search restricted to chosen subreddits.

RSS6.5k (9%)

Anthropic, OpenAI, DeepMind, HN, Latent Space, and 12 more.

X0 (0%)

Keyword + from:@account watches via Apify, every 12h.

The pipeline

ingest -> SQLite raw_events (1 row per signal)
score: Gemini Flash-Lite niche 0-10, then velocity + freshness
composite = (niche × 5) + (velocity × 3) + (freshness × 2)
cluster: Gemini text-embedding-004, cosine ≥ 0.82 union-find
cluster_score = max(member composites) × ln(1 + member_count)
angle: Gemini 2.5 Pro on top 5, voice rules baked in
snapshot: SQLite -> JSON -> Vercel Blob -> this page