Every GP starts the day with two questions, and mostly answers them from memory and gut: who should I talk to today, and what happened to my companies while I wasn't looking. The information to answer both already exists — it's just scattered across your inbox, your data room, your calendar, and a hundred news sites nobody has time to read. This week we shipped two features that answer those questions for you, from signal you already own.
Who to call today
LPs tell you they're interested long before they say it. They open the LPA twice in three days. They forward the deck to a colleague. They come back to the data room the night before your IC. That's intent — and until now it lived in scattered logs nobody reads, so the person who noticed it was whoever happened to be paying attention.
The LP Intent Radar reads it for you. Every LP is ranked by a live buying-intent score built from your own first-party engagement — data-room views, email opens and clicks, meetings — with a plain-English why now beside each name: “opened the Q2 update twice in three days + attended last week's call.” The warm LP surfaces itself to the top of the list. One click drafts the outreach, referencing exactly what they engaged with. You stop rediscovering interest three weeks late.
You don't need more prospects. You need to know which of the ones you already have is warm this week.
What matters just as much is what this is not. The ad-tech world sells “de-anonymize your website visitors” — reverse-IP tools that guess who's browsing. For a private fund that's the wrong instrument: you can't broadly advertise under Reg D, and the signal that counts was never an anonymous IP — it's the LP who logged into your data room and read the deck. You already own that signal, it's authenticated, and it's cleaner than anything a third-party tracker could infer. The Radar just points at it, and ranks it, so the most fundable conversation you could have this week is the first thing you see.
What your companies did overnight
The second question is a different kind of miss. You don't forget to look — you just can't watch fifty portfolio and pipeline companies across a hundred outlets. So you find out a company raised, got acquired, lost a founder, or hit the press when an LP emails asking why you didn't mention it. That's a bad way to hear it.
Portfolio & Pipeline News watches for you. It pulls headlines for every active and pipeline company in your book, groups them by company — one latest headline, newest first, with a quiet “+N more” when there's more — and links straight to the source. Public names come from market data feeds; the private companies that make up most of a real book come from the open web.
The hard part of a feed like this is noise, and it's where most tools fall over. A portfolio company named “Sherpa” pulls a mountain of stories about Nepali mountain guides. “Cactus” surfaces recipes. “Everest” gives you climbing reports. So the feed does what a diligent analyst would: it reads each company's own website to learn what the company actually does, then checks every headline against that. The payments startup Sherpa keeps its funding news and loses the trekking news. What lands in your feed is about your companies — not their namesakes.
A feed you can't trust is a feed you stop opening. The filter is the product.
The throughline
Both features come from the same belief: a fund's edge was never more data — it's attention, pointed at the right thing at the right moment. The signal that tells you which LP is leaning in, and which company just moved, is already flowing through your workspace. It's simply buried under everything else that's also true. The job isn't to collect more of it; it's to surface the two or three things that should change what you do today.
Both turn on per workspace, so you decide when your team sees them, and both are read-only and link-out — they tell you where to look and let you take it from there. Nothing gets sent, nothing gets posted, on your behalf.
The best fundraiser in your firm already does this in their head — they remember who leaned in, and they read the news on their names. We built the version that does it for your whole book, every morning, so it doesn't depend on anyone remembering.