Poach

About Poach

Yo, VCs and scouts. Tired of the same old, tired dealflow? Getting pitched the same recycled decks after a founder's already got a term sheet? That's weak. Poach is your cheat code to the pre-game. We're basically the ultimate VC stalker tool, but, like, for a good cause. We automate the creepy part so you can do the cool part. Here's the deal: we track the Twitter follows of top-tier investors. When a VC starts following someone new, it's a massive signal. They're not just following randos for memes; it's often an early peek at a founder they're scouting, sometimes months before that founder even thinks about raising a seed round. Poach takes that raw Twitter signal, matches it to LinkedIn (our secret sauce), and then our AI slaps smart labels on everyone—like "founder," "engineer," "funded," etc. You get a clean CSV dump of this gold every morning. It's that magical, high-quality signal that sits perfectly between a warm intro and cold inbound. It's for investors who want to be first, not just another name on a crowded cap table.

Features of Poach

VC Twitter Surveillance

We put the VCs you care about on a digital watchlist. Our platform constantly monitors who the top-tier investors and partners are following on Twitter (𝕏). This isn't about their public likes; it's about the quiet, early-interest follows that happen long before a deal is announced. It's the ultimate early-warning system for spotting talent and potential deals brewing in stealth mode.

LinkedIn Enrichment & Identity Resolution

A Twitter handle is cool, but you need the real-world resume. Poach doesn't stop at the tweet. We use proprietary tech to match those Twitter accounts to actual LinkedIn profiles. This gives you the full picture: work history, education, past exits—the whole background check, automated. No more manual digging.

AI-Powered Persona Labeling

Our AI doesn't just find people; it categorizes them. By analyzing both the Twitter bio and the enriched LinkedIn data, it automatically tags each person with labels like "founder," "engineering," "product," "funded," or "research." This lets you instantly filter out the noise and zero in on exactly the profile you're hunting for, like unfunded technical founders.

Raw Data CSV Delivery

No fluff, no locked-in platform. Poach delivers the goods straight to your inbox every morning as a clean, comprehensive CSV file. You get the full dataset: names, Twitter/LinkedIn links, who followed them, AI labels, and a generated bio. Download it, slice it, dice it in Sheets, and upload it straight into your CRM. Total control, zero friction.

Use Cases of Poach

Finding Stealth-Mode Founders

This is the main event. Use Poach to filter for profiles labeled "founder" but NOT "funded." These are the builders who are heads-down creating something new and have just caught the eye of a savvy VC. You can reach out and build a relationship months before their formal fundraise, turning you from a cold lead into their first call.

Building a Thematic Talent Pipeline

Hunting for a specific niche, like AI researchers or crypto-native devs? Set up tracking on VCs known for those theses. When they follow a "research" or "web3" labeled profile, you'll know. It's a perfect way to build a targeted pipeline of top technical talent for potential investment or even for portfolio company recruiting.

Competitive Dealflow Intelligence

Want to know what other firms are looking at? Track your competitors! By monitoring which founders other VC firms are following, you get a live feed of their sourcing interests. It helps you see emerging trends, understand their investment thesis in real-time, and ensure you're not missing a sector they're piling into.

Sourcing for Angel Investing & Scouts

You don't need to be a mega-fund to play. Individual angels and scout programs can use Poach to get institutional-quality signals on a budget. Get the same early alerts on promising individuals, allowing you to make smaller, earlier bets and build your reputation as a first-check investor.

Frequently Asked Questions

How accurate is the AI labeling?

Our AI is pretty sharp, but it's not perfect—think of it as a super-smart intern. It analyzes bios, job titles, and career history to make its best guess (founder, engineer, etc.). We're constantly training it to get better. The raw data (Twitter/LinkedIn links) is always 100% accurate, so you can always do a quick manual check on the profiles that matter most.

Which VCs do you track?

We track a curated list of top-tier, active investors known for their sharp eye for talent. This includes partners at well-known seed and Series A funds, as well as influential angels. The list is always growing, and the signal is strongest from VCs who use Twitter actively for discovery.

Is this... ethical? It feels like snooping.

Everything we track is public data! VCs' "following" lists on Twitter are public. LinkedIn profiles are public. We're just connecting public dots way faster than a human could. It's competitive intelligence 101, just automated. It's no different than a recruiter using LinkedIn search—just way more proactive.

Can I filter for very specific criteria?

Absolutely! That's the power of the raw CSV. You get all the data and labels. You can filter in Excel, Google Sheets, or your CRM for any combo you want: "founder + engineering - funded + located in Berlin." You build the query that matches your exact investment thesis.