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Meltly vs. asking Claude alone

We love Claude. We built Meltly so it stops guessing.

Ask Claude for an icebreaker and it writes something beautiful about a person it cannot see. LinkedIn sits behind a login wall, and training data is months old - so the model fills the gaps with plausible guesses. In cold outreach, one hallucinated detail is the whole ballgame.

Meltly's only job is the part Claude can't do: read the prospect's live profile - latest posts, the new role, the actual words they use - and turn it into an opener, a P.S. line, or talking points. And because it speaks MCP, the punchline is that this isn't a versus at all.

There's a second problem no prompt fixes: a chat window doesn't loop. Even a model that could see LinkedIn still needs you pasting prospects in one at a time. Meltly is an endpoint - the same research runs for one prospect or the whole list, from n8n, Clay, or whatever your agent orchestrates.

Their latest LinkedIn posts

Asking Claude alone
Can't see them - login wall + months-old training data
Meltly
Read live, at request time

The job change from 3 weeks ago

Asking Claude alone
Guesses
Meltly
Catches it

Specific details that are real

Asking Claude alone
Plausible-sounding guesses - one hallucinated detail kills the deal
Meltly
Quotes what's actually on the profile

Output built for outreach

Asking Claude alone
Generic prose, prompt-dependent
Meltly
P.S. line, opener, or talking-points sheet

Fits your pipeline

Asking Claude alone
Copy-paste, per prospect
Meltly
API call · MCP tool · extension click

Cost per prospect

Asking Claude alone
Your time, every time
Meltly
1 credit, ~8 seconds

Works with Claude

Asking Claude alone
—
Meltly
Yes - connect mcp.melt.ly and Claude gets all of the above

Same prospect, two openers

AI-powered icebreakers that don't scream 'AI-powered'.

Claude, unassisted

“Hi Sarah, I’ve been following your impressive work in customer success and really admire what you’re building. Companies like yours are exactly who we love working with…”

Plausible. Generic. Could be about anyone named Sarah.

Claude + Meltly over MCP

“Your post on the day-14 onboarding cliff - that chart was painfully accurate. We’ve been un-cliffing exactly that at Acme…”

References a post from this week. One MCP tool call.

Give Claude warm hands →Or grab an API key

The trust questions.

How is this different from just asking ChatGPT or Claude?
Claude writes beautifully about a person it can't see. LinkedIn sits behind a login wall, and a model's training data is months old - so unassisted, it guesses. Meltly reads the live profile at request time and returns lines grounded in what's actually there. Better yet: connect mcp.melt.ly and Claude gets all of that as a tool. See the full comparison.
Where does the profile data come from - and how fresh is it?
Meltly reads the prospect's public LinkedIn profile at request time through professional data providers - latest posts, role changes, and headline included. Recent lookups are cached briefly so repeat requests are fast and don't waste credits. You're getting the profile as it looks now, not a months-old snapshot.
Do you store my prospects' data?
We store what's needed to run the product: your generation history (the LinkedIn URL you submitted and the icebreaker you got back, so you can revisit results) and a short-lived profile cache that keeps repeat lookups fast. We don't sell or share prospect data. Want something removed? Reach out via the contact page and we'll delete it.