Real thesis matching
It reads a fund's actual thesis and your stage, then decides fit. Investors who could plausibly say yes get written to. Everyone else gets cut. Not keyword filtering dressed up.
The 24/7 raise + sales outreach engine
Deck in.Investors whoreply out.
ColdNina sources the investors whose thesis actually fits, writes each email in your voice, works them across email and LinkedIn, and pings you the second someone replies. The system gets the first reply. You take the call.
Built by a founder running his own raises. Dogfooded on two companies, not demoed.
01Source
02Enrich
03Qualify
04Personalize
05Send
06Catch replies
Try it live · 20 seconds
Point it at your own site. Watch it work.
Give it your URL or a few lines about what you do. It reads it, finds three people who actually fit, and writes the first email in your voice — right here, on your real data.
The grind
Raising is a full-time outbound job you never signed up for.
I know because I did it by hand. Scraping investor lists. Guessing whose thesis actually fits. Writing the same email 200 times and making each one sound like a person wrote it. Then refreshing my inbox at midnight to see who bit. The deck was the easy part. The grind was the thing quietly eating the week I needed for the company I was raising for.
- Lists go stale the day you export them.
- Generic templates get filtered or ignored.
- Follow-ups slip because you're building, not chasing.
- The one reply that mattered sat unread for two days.
How it works
One pipeline. Six stages. Running without you launching a thing.
Hand it a deck, or an offer. It runs every stage on its own and keeps running — sourcing, qualifying, sending, listening — until a real human replies. Then it stops and hands that person to you. You get pulled in exactly once per lead: when someone answers.
- 01 / Source
Source
Positioning and ICP first, then it goes and finds people who match — investors by thesis, pulled from live signal, not a stale CSV you have to sort. Fresh targets in the queue every day.
- 02 / Enrich
Enrich
Finds the person, the verified email, the LinkedIn, the fund's actual thesis. Confirmed, not guessed, so your sequences don't bounce into the void.
- 03 / Qualify
Qualify
Every name gets matched against your thesis and stage. A fintech seed fund never gets your climate Series A. Bad fits get dropped before they ever cost you a send.
- 04 / Personalize
Personalize
Each email written in your voice, about their portfolio, saying why you actually fit — not a mail-merge with a first-name slot.
- 05 / Send
Send
Email and LinkedIn in one coordinated sequence, paced like a person and spread across inboxes, running around the clock without tripping spam filters.
- 06 / Catch replies
Catch replies
The instant someone answers, you know. This is where the machine's job ends and yours begins. That reply is warm, it's yours, and closing it is the human part.
Where the depth is
Anyone can hand you a list. This does the hard part.
Most tools sell you a database and a template and call it AI. The list was never the bottleneck — matching, voice, channels, and judgment were. ColdNina makes the calls a good founder would, and gets sharper as replies come back.
Founder-voice emails
Built from your deck and your own words. Every email reads like you wrote it at 7am, because it's assembled from what you'd actually say. No slop, no AI tells.
Real LinkedIn automation
Email and LinkedIn in one sequence, coordinated, with warm and cold outreach kept on separate rails — not two disconnected tools you babysit by hand.
An intent-loop that adapts
It watches what lands and adjusts who to target, what to say, and when to follow up. The longer it runs, the better it aims — it gets sharper overnight while you sleep.
24/7, no scripts
Nothing to launch. It's sourcing at 3am, qualifying at noon, and catching replies while you're on a demo.
One machine, two jobs
Raise or sell. Same engine, pointed either way.
The pipeline doesn't care whether the person on the other end writes checks or signs POs. Feed it a deck and it hunts investors. Feed it an offer and it hunts customers. Change the input, aim it at a different set of people, and it runs the exact same way.
Mode / Raise
Your pitch deckInvestors who reply
Raise
Investors whose thesis fits, sequenced and warmed until they reply, sitting in your inbox ready to talk. This is what it was built for first — I ran two of my own raises on it before anyone else saw it.
Mode / Sales
Your offer or websiteBuyers who reply
Sales
Prospects inside your ICP, worked across email and LinkedIn until they reply. The same sourcing, matching, and sequencing that fills my calendar with investors, aimed at revenue.
Why ColdNina
I didn't build a demo. I built the thing I needed to raise.
I'm Maxim. I was raising for my own company and drowning in the outreach, so I built ColdNina to do it for me. It worked, it kept working, and I ran a second raise on it. Then I turned it on our sales pipeline and it did that too. Every feature on this page exists because I needed it on a live raise, not because it looked good on a roadmap. If it broke, my raise would stall — that's the test it passes before you ever see it.
Maxim — founder, still raising on it
- 2live raises
Run on ColdNina end to end. Real investors, real replies, real conversations — not a sandbox with fake data.
- 24/7dogfooded
I still run my own outreach on it every week. If it broke, I'd feel it before you ever would.
- 0lists sold
Thesis matching, founder-voice writing, real LinkedIn, an adapting loop. The parts the list-sellers skip — and the parts that earn a reply.
See it run on your actual targets.
Book 20 minutes with me, the founder who built it and still raises on it. Bring your deck or your offer and I'll show you the engine working on your real investors or buyers — live, not a slideshow.
Book a demo