Neddle flips the script.
Instead of cold outreach and collecting contacts in hopes of having conversations, Neddle matches you with other professionals who have already agreed to show up.
Why networking feels off
A lot of networking feels uncomfortable because it begins with intention before a single word is spoken. When the format starts with outreach, positioning, and implied need, the interaction can feel transactional before a real conversation ever has a chance to happen.
of professionals say networking makes them anxious
say they find it hard to stay in touch with their network.
say networking is hard even though they know it matters
You're not drafting the perfect message or trying to justify the ask. You're simply showing up to a conversation someone else has already agreed to have.
Profiles flatten people. Conversations reveal more.
A profile can tell you what someone wants to present. A conversation tells you how they think, what they care about, and where the energy is. Most professional platforms rely on static information: titles, industries, keywords, credentials. That can be useful, but it only goes so far. Neddle is built on the idea that conversation creates richer signal than a profile alone.
Profile-based matching
- Self-described
- Static the moment it's written
- Optimized for visibility
- Useful, but limited before a conversation starts
Conversation-based matching
- Observed over time
- Dynamic with every session
- Built from actual exchange
- Better suited to finding compatibility, complementarity, and momentum
Conversations often reveal more about compatibility and working style than profiles alone.
Networking is a practice.
You do not build a strong network in one burst of effort. You build it through repetition. Neddle is designed around a simple loop:
Cue
Your session is scheduled.
Routine
Show up and talk for 25 minutes.
Reward
Leave with a connection you didn't have before.
Over time, what felt awkward starts to feel normal. That's the point.
A quiet habit that compounds.
Better matching starts after the first conversation.
At first, Neddle can match on what you share explicitly: your background, goals, role, interests, and experience. That's enough to get started. Over time, Neddle is being designed to become more useful by learning from conversations themselves. The goal is to get better at recognizing:
Knowledge
What you actually know
Goals
What you're working toward
Communication
How you communicate
Trust
Which conversations create the most value for you
The best match is not just someone who looks good on paper. It's someone you're likely to have a useful conversation with.
The conversation fingerprint
Over time, repeated conversations create a pattern. Neddle is being designed to learn from that pattern and, in future paid plans, reflect parts of it back to you in a useful way. Not a personality test. Not a performance score. A living picture of how you tend to connect: where you're energized, where you're guarded, who brings out your best thinking, and what kinds of conversations keep leading somewhere meaningful.
Over time, repeated conversations create a pattern. Neddle is being designed to learn from that pattern and, in future paid plans, reflect parts of it back to you in a useful way.
Not a personality test. Not a performance score.
A living picture of how you tend to connect: where you're energized, where you're guarded, who brings out your best thinking, and what kinds of conversations keep leading somewhere meaningful.
Status should not block connection.
Traditional networking creates an uneven playing field. More status means more inbound noise. Less status means more hesitation. Both sides lose.
Neddle levels the field. Just two people who already agreed to show up.
No inbox to manage.
No pitch to ignore.
No need to prove your worth first.
Neddle is designed to make chance encounters the norm.
Sources
- LinkedIn Professional Networking Anxiety Data, 2025
- Resume Now, "Connections Over Credentials," May 2025
- Kellogg School of Management / LinkedIn Global Survey, 16,000 professionals
- Casciaro, Gino & Kouchaki, "The Contaminating Effects of Building Instrumental Ties," 2014
- Spann et al., "Keeping the Network Alive," 2025
- University of Tartu, "Can LLMs Assess Personality?" 2025
- ETH Zurich, "Can LLMs Infer Personality Traits from Chat History?" 2025
- Carnegie Mellon, "Multimodal Fusion with LLMs for Engagement Prediction," 2025
- Feuerriegel et al., Nature Reviews Psychology, 2025
- Evsyukova, Rusche & Mill, Quarterly Journal of Economics, 2025
- Kuwabara et al., Social Networks, 2020