You read 47 articles yesterday. Three of them mattered.

AI ingests hundreds of industry sources, understands your role and competitors, and delivers only the news that changes what you do today. Vector search personalization. Custom keyword tracking. One daily digest instead of 47 browser tabs.

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No credit card required. Your first feed is personalized in under 2 minutes.

Why smart people miss important news — and how semantic search fixes it

You're not uninformed. You're overwhelmed.

Manual monitoring

Open 12 tabs every morning — TechCrunch, Reuters, competitor blogs, regulatory feeds, Hacker News
Skim headlines for 30+ minutes trying to figure out what's relevant to your actual work
Miss the one article that mentioned your competitor raising a Series B — buried on page 3
Google Alerts fire on keyword matches that are completely irrelevant to your context
Share an article in Slack that your colleague already posted two hours ago
Your CEO asks about a regulatory change and you find out about it from them, not from your monitoring

With this platform

AI ingests hundreds of RSS sources hourly — you configure once, it monitors forever
Vector embeddings understand meaning, not just keywords — 'AI regulation' finds articles about EU AI Act even when they don't say 'regulation'
Every article comes with a one-sentence explanation of why it matters to your specific role
Custom keywords track competitors, technologies, and topics — results boosted automatically
Deduplication catches the same story across sources before it reaches your feed
Daily email digest at 6am — 10-15 articles, ranked by relevance, with context. Read in 5 minutes.

Here's how AI turns 200 articles into the 12 that matter

Three steps. Hundreds of sources. One personalized feed.

Tell us your role and competitors. AI reads everything. You read what matters.

Ingest & Embed

The system pulls articles from configured RSS feeds every hour. Each article's title and summary are converted into a 1,536-dimension vector embedding using OpenAI. URLs are normalized and deduplicated — the same story from three sources only appears once.

Match & Rank

Your role, company, and competitors are embedded into a context vector. Vector search finds the top articles by semantic similarity — not keyword matching. Custom keywords boost results further. AI re-ranks the top candidates and generates a one-sentence explanation for each.

Deliver & Learn

Your personalized feed is available in the app and delivered as a daily email digest. When you click an article, the system records it. Your recent clicks feed back into the ranking model — the feed gets smarter every day without you doing anything.

What your morning digest looks like — real output fields

Your Feed — VP of Sales at Acme CRM 12 articles

Salesforce Acquires Analytics Startup for $2.4B 94% match

Reuters · 3 hours ago

Why this matters: Your top competitor just added predictive analytics — expect them to bundle this into Enterprise tier within 6 months. Brief your product team.

EU Finalizes AI Act Enforcement Timeline 91% match

TechCrunch · 5 hours ago

Why this matters: Your AI-powered lead scoring feature needs compliance review before the Q3 deadline. Loop in Legal.

B2B SaaS Churn Hits 18-Month Low According to New Report 87% match

SaaStr Blog · 8 hours ago

Why this matters: Industry benchmark data for your Q2 board deck. Your 4.2% monthly churn is above the new median of 3.1%.

9 more articles ranked and explained...

Your Keywords & Context

role: "VP of Sales"

company: "Acme CRM"

competitors: "Salesforce, HubSpot, Pipedrive"

industry: "B2B SaaS"

keywords: ["CRM market", "sales AI", "churn benchmarks"]

embedding_dims: 1536 (OpenAI text-embedding-3-small)

recent_clicks: 10 most recent → fed into ranking

content_window: 7 days rolling

deduplication: URL-normalized, cross-source

Your context embedding is regenerated when you update your role, company, or competitors. No manual tuning needed.

1,536

Embedding dimensions per article

200+

Articles ingested daily

Roles supported (Sales, Legal, Product, Executive, Analyst)

Rolling content window

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Personalized in under 2 minutes. No credit card.

What makes this different from Google Alerts and RSS readers

Semantic search. Role-based ranking. Learning loop.

Most news tools match keywords. This one understands meaning — and gets smarter every time you click.

Vector Search Personalization

Every article is converted into a 1,536-dimension vector embedding. Your role, company, and competitors become another vector. Cosine similarity finds articles that are semantically close to your context — not just keyword matches. An article about "EU AI Act enforcement" surfaces for someone tracking "AI regulation" even though neither phrase appears in the other. This is how the feed works on day one with zero click history.

Role-Based Context

A VP of Sales and a Head of Legal at the same company need different articles about the same industry. The system generates a unique context embedding for each user based on their role, company, competitors, and industry. Five roles supported out of the box — Executive, Sales, Legal, Product, and Analyst — each with different relevance weighting. The same regulatory article ranks #2 for Legal and #47 for Sales.

Custom Keyword Tracking

Add company names, competitor names, technologies, or topics you want to monitor. Articles containing your keywords get a relevance boost in the ranking algorithm. Track "Salesforce" and every mention of your competitor rises to the top — even in articles that weren't semantically close to your general context. Add or remove keywords anytime. Most users track 3-5 keywords covering their top competitors and core topics.

"Why This Matters" Explanations

Every article in your feed comes with a one-sentence AI-generated explanation of why it's relevant to your specific situation. Not a generic summary — a contextual explanation that connects the article to your role, company, and competitors. "Your competitor just acquired an analytics company — expect bundled features in Q3" is more useful than "Company X acquires Company Y." This is the feature that turns skimming into decision-making.

Click-Based Learning Loop

Every article you click is recorded. Your 10 most recent clicks are fed into the AI ranking model as context — the system learns what you actually care about, not just what your role title suggests. A Product Manager who keeps clicking pricing strategy articles will see more competitive pricing content rise in their feed. No explicit training, no thumbs up/down. Just use it and it adapts.

Daily Email Digest

Your top 10-15 articles delivered to your inbox every morning. Each one includes the title, source, published time, and the "why this matters" explanation. Click to read the full article. The entire digest takes 5 minutes to scan — compared to 30+ minutes of manual tab-hopping. Available in the web app too, but the email digest is where most users start their day.

Build Your Feed

Personalized from day one — no training period.

How does this compare to what you're using now?

Honest comparison: this vs. the alternatives.

You could keep doing it the old way. Here's what each option actually gives you.

	This Platform	Google Alerts	RSS Reader (Feedly)	Newsletter Subscriptions
Matching method	Vector semantic search Understands meaning, not just keywords	Exact keyword match Misses synonyms, context, intent	No matching You read everything yourself	Editor's curation Not personalized to you
Personalization	Role + company + competitors Context-aware from day one	None Same results for everyone	Manual folders You organize everything yourself	None One-size-fits-all content
"Why it matters"	AI-generated context Connects article to your role	No Just a link	No Just the headline + excerpt	Sometimes Editor's perspective, not yours
Learning	Click-based feedback loop Gets smarter with every click	None Static keyword forever	None Manual re-sorting	None Unsubscribe is the only feedback
Deduplication	URL-normalized, automatic Same story from 3 sources → 1 item	N/A	None Same story in every feed	None Overlap across newsletters
Daily time	5 minutes 10-15 ranked articles with context	15 minutes Checking each alert for relevance	30+ minutes Scanning hundreds of unranked items	20+ minutes Reading through 5-10 long emails

Google Alerts and RSS readers give you raw information. Newsletters give you someone else's curation. This platform gives you AI curation tuned to your specific role, company, and competitive landscape — with explanations of why each article matters.

Still not sure? Zero risk to find out.

No credit card required

Set up your role, add your competitors, and see your first personalized feed before you pay anything. Judge the relevance yourself.

Works from day one

No training period. No "click 50 articles to calibrate." Vector search personalizes your feed the moment you enter your role and competitors. Click-based learning makes it better over time.

Cancel anytime

No contracts, no lock-in. Change your role, update your competitors, add keywords, turn off the email digest — everything is adjustable.

Try It Free

Try it free, cancel anytime.

Why I built this

I was running a B2B startup and needed to track what competitors were doing, what regulations were changing, and what the industry was saying about problems we were solving. I set up Google Alerts, subscribed to 15 newsletters, and built an RSS reader with 40 feeds. Every morning I'd spend 30-45 minutes scanning headlines. Most days I'd miss something important anyway.

The problem wasn't information availability — it was filtering. I had too much of everything and not enough of what specifically mattered to my role and our competitive position. Google Alerts fired on every mention of "AI" regardless of context. RSS readers showed me everything in chronological order with no ranking. Newsletters were curated for a generic audience, not for someone competing against specific companies in a specific market.

So I built a system that understands context. Vector embeddings capture the meaning of articles, not just keywords. Your role and competitors become a query vector. Semantic search finds the articles that are closest to what you actually care about. AI explains why each one matters to you specifically. And clicks teach the system what you're really interested in — no manual training, no thumbs up/down buttons.

The result is a 5-minute morning routine that replaces 30 minutes of tab-hopping. And it catches the things you would have missed.

Common questions

Google Alerts matches exact keywords. If you track "AI regulation," you'll get every mention of those two words together — press releases, job postings, irrelevant blog posts. This platform uses vector embeddings to understand meaning. It finds articles about the EU AI Act, NIST frameworks, and algorithmic accountability even when they never say "AI regulation." It also explains why each article matters to your role, which Google Alerts never does.

The platform ingests RSS feeds from major tech publications, business news outlets, industry blogs, and regulatory feeds. Sources are pre-configured and can be expanded. AI can also discover new relevant sources based on your interests and categories. The system pulls new articles hourly, so content is typically less than 24 hours old when it reaches your feed.

If your industry has RSS feeds and online news coverage — yes. The vector search is industry-agnostic. You tell the system your industry, company, and competitors, and it builds a context embedding specific to your situation. Works for SaaS, fintech, healthcare, e-commerce, manufacturing, legal, and any other sector with online information to monitor.

Under 2 minutes. Enter your role (Sales, Legal, Product, Executive, or Analyst), your company name, and your top competitors. The system generates your context embedding immediately and your first personalized feed is available. Add custom keywords anytime to refine further. No training period — semantic search works from the first query.

Every time you click an article, the system records it. Your 10 most recent clicks are passed as context to the AI ranking model. If you consistently click articles about pricing strategy, more pricing content rises in your feed — even if your role title is "VP of Product." No buttons to press, no ratings to give. Just use the feed naturally and the recommendations improve automatically.

Yes. Each team member gets their own personalized feed based on their role and interests — even when monitoring the same industry and competitors. Your VP of Sales sees acquisition news. Your Head of Legal sees regulatory updates. Your Product Manager sees feature launches. Same sources, different relevance rankings. Everyone reads what matters to their function.

Custom keywords handle this. If you're a Product Manager who also tracks sales pipeline trends, add "pipeline conversion" and "sales velocity" as keywords. Articles matching those terms get boosted in your feed regardless of your primary role embedding. The system also supports interest clustering for users with multiple distinct focus areas — it groups your feed by interest cluster so nothing gets buried.

Every morning you skip monitoring is a morning your competitor gets the intel first.

200+ articles filtered to 12. Ranked by relevance to your role. Each one with an explanation of why it matters. 5 minutes instead of 30.