Bring your connections.
Start with your LinkedIn Connections.csv. Add messages.csv for a better read on who you’re actually close to.
Your next customer, collaborator or hire might already be in your LinkedIn contacts. Jevdin helps you find them.
Or try the demo ↓A replay of the example run on Jevdin.
Your network is already there.
Here’s how to bring it with you.
In LinkedIn, go to Settings & Privacy → Data privacy → Download your data. Request an archive containing your connections and messages.
LinkedIn will email you when it’s ready. Download the archive and unzip it to find Connections.csv and messages.csv.
Start with Connections.csv. Add messages.csv for a better read on who you’re close to.
I have my files — upload now ↑Your archive may take time to arrive. LinkedIn’s export guide ↗
Find founders in AI. People you know in gaming. Your next potential hire. Stack a few filters and make your network useful.
| Name & company | Seniority | Function | Industry | Company type | Relationship | Connected | Opportunity flags |
|---|---|---|---|---|---|---|---|
| Jamie LeeFounder & CEO · Northstar | Founder | Product | AI | Startup | Close | 2–5 years | Potential customerDecision makerPeer |
| Alex MorganDesign Director · Playfield | Director | Design | Gaming | Scaleup | Close | Over 5 years | Potential hireDecision maker |
| Sam RiveraCo-founder · Common Ground | Founder | Sales | Software | Startup | Ish | 6 months–2 years | Potential customerDecision maker |
| Taylor ChenProduct Manager · Arcade | Manager | Product | Gaming | Enterprise | Ish | Under 6 months | Potential hirePeer |
| Jordan EllisFounder · Fieldwork | Founder | Engineering | AI | Startup | Not close | Under 6 months | Potential customerDecision maker |
| Casey BlakeEngineering Director · Forma | Director | Engineering | Software | Scaleup | Close | 2–5 years | Potential hireDecision makerPeer |
| Morgan PatelPartner · Seedway | C-level | Investor | Fintech | VC | Close | Over 5 years | InvestorDecision maker |
| Riley BrooksTalent Lead · Peoplekind | Manager | HR | Consulting | Recruiting firm | Ish | 2–5 years | RecruiterPeer |
| Robin ParkVP Marketing · Wellward | VP | Marketing | Health | Scaleup | Close | 6 months–2 years | Potential customerDecision maker |
| Drew WilsonData Scientist · Learnlab | IC | Data | Education | Startup | Ish | Under 6 months | Potential hirePeer |
| Cameron ReedInvestment Director · Horizon | Director | Investor | AI | VC | Ish | 2–5 years | InvestorDecision maker |
| Avery ShahOperations Lead · Studio Six | Manager | Operations | Media | Agency | Not close | 6 months–2 years | Potential customerPeer |
Try the filters. Find your people. Export the result. This demo uses fictional contacts.
Less scrolling.
More connecting.
No new network to build.
Just a better way to use the one you have.
Start with your LinkedIn Connections.csv. Add messages.csv for a better read on who you’re actually close to.
Every contact gets consistent labels for seniority, function, industry, company type, relationship and time connected.
Filter down to the people you need. Export a CSV for your CRM, a spreadsheet, or whatever comes next.
Your message text stays on your machine.
On Jevdin, files are parsed in your browser. Only names, companies, titles and message counts are sent for classification. Your private conversations stay private.
What goes in, what comes back, and how Jevdin makes sense of your network.
Need your LinkedIn export? ↓Yes — Jevdin enriches the contacts in your export with inferred labels such as seniority, function, industry and company type, plus relationship indicators and opportunity flags. It uses the information you provide to help you understand and filter your network.
No. Jevdin does not look up missing contact details or verify current employment against external sources. Email addresses, companies and titles come from your LinkedIn export. Classification adds context to that data; it does not refresh it.
Start with Connections.csv from your LinkedIn data archive. You can also include messages.csv to help estimate relationship strength. Unzip the archive before selecting your CSV files.
No. Connections.csv is enough to get started. Without messages.csv, closeness is estimated from the background you share about yourself. With it, message counts and recency help identify stronger connections; message text is not uploaded.
Your work, what you sell, who you hire and your previous experience give Jev context. That helps it flag potential customers, hires, peers and people whose backgrounds overlap with yours.
Labels and opportunity flags are AI estimates, not verified facts. Results depend on the quality of your export and the context you provide. Confidence scores and review indicators help you spot uncertain results before you act on them.
Filter your results and download the matching contacts as a CSV. It includes the original contact fields alongside classification labels, confidence scores, opportunity flags and relationship information, ready for a spreadsheet or a compatible CRM import.
Start with a list. Leave with a little more possibility.
Upload your LinkedIn export ↑Or explore the sample network ↓Start with Connections.csv. Add messages.csv for a better read on your relationships.