AIF is a scored multi-source feed: Hacker News, Reddit, GitHub releases, and YouTube for the agentic AI space. Each item gets a disclosed 100-point score (relevance, urgency, quality, novelty), optional LLM summaries, Telegram critical alerts, and one-click hand-off to NLG. Landing and Health are public; the feed needs login.
From four raw content platforms to one ranked intelligence feed in five steps.
The dashboard gives you an instant snapshot of your intelligence pipeline. Six stat tiles show total items ingested, how many have been scored, critical and high-priority counts, active interest groups, and connected sources. A platform distribution bar breaks down content volume across Hacker News, Reddit, GitHub, and YouTube. Below that, a ranked table of the top 15 items by composite score lets you triage the most important signals at a glance. Last scan metadata shows exactly when data was last refreshed.
The main feed is a filterable data grid showing every ingested item. Each row displays a platform icon, title, composite score with color coding, priority band badge, author, and publish date. A filter bar at the top lets you search by keyword, filter by interest group, platform, or score band. Clicking any row opens a slide-out detail panel on the right with the full score breakdown (relevance, urgency, quality, novelty), matched interest groups, engagement statistics, and the full content text.
Items you bookmark from the feed land here for later reference. The saved items view is a streamlined grid showing each item's source platform, title, score at time of save, and the date you bookmarked it. One-click removal keeps your collection clean.
Settings is where you shape the feed to your needs. Manage interest groups with custom keywords and priority levels, control scan intervals, set score thresholds for critical alerts and digest cutoffs, configure your YouTube API key and Telegram bot for push notifications, and set data retention policies.
Every item ingested by AIF is scored on four weighted dimensions. The composite score determines which priority band an item falls into — from Critical (immediate attention) down to Noise (auto-filtered). Time decay ensures older items gradually lose urgency weight.
AIF pulls content from four platforms, each with targeted queries tuned for the agentic AI space and adjacent developer ecosystems.
The latest release adds cross-app publishing and 30-day trend visibility directly on the dashboard.
Every feature in AIF is built around a single goal: getting the right signal to you before it's old news.
AIF is a premier scored feed for agentic-AI signal: four sources, a disclosed 100-point composite, Telegram for critical items, NLG when you ship an item to the newsletter pool. Summaries use MiniMax (with a free OpenRouter fallback); recommendations use the shared LLM path (local Gemma by default) — not a Claude product claim. Health stays cheap. This landing never lists your real feed rows. If this page disagrees with the signed-in app, trust the app and fix the landing — product contract and tests enforce that rule.
No unauthenticated feed dump. Not a cross-user source marketplace. Not NLG itself and not BRI — those are separate apps AIF can hand work to.
Four platforms. One scored feed. Every signal that matters in the agentic AI space, ranked and ready.
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Scored multi-source feed for the agentic AI space — HN, Reddit, GitHub, YouTube. Telegram alerts. NLG hand-off. You tune interest groups. Health stays cheap. If this page disagrees with the signed-in app, trust the app — the product contract and tests enforce that rule.