HeyJared vs Muck Rack
Database you search vs. AI that does the work
MuckRack gives you names to research. HeyJared gives you ready-to-send emails.
Don't Translate Your Story Into Keywords
Just tell your story. AI does the rest.
What you actually paste into HeyJared:
✓ Messy? Yes. ✓ Long-form? Yes. ✓ Works perfectly? Yes.
What MuckRack Requires
("fintech" OR "financial technology")AND ("fraud" OR "security")What HeyJared AI Understands
The Core Difference
MuckRack thinks PR = keyword matching. You translate your human story into database queries, then do all the work yourself.
HeyJared thinks PR = story understanding. AI reads your messy, long-form description like a human would, extracts what matters, finds who would care, and writes personalized pitches.
8 Hours vs. 3 Minutes
The same launch. Two very different workflows.
1. Tell Your Story
What you do:
Think like a database query
Example:
("fintech" OR "financial technology" OR "neobank") AND ("fraud" OR "security" OR "risk") AND ("AI" OR "machine learning" OR "ML")
Result:
Spend 15 minutes building Boolean query
What you do:
Just paste your messy story
Example:
Result:
AI extracts: Industry, hook, angle, credibility
2. Find Sources
What you do:
Search & manually filter results
Example:
Search returns: 523 results → Click each one → Check recent coverage → Read 3-5 articles per person → Build list of 50 maybes
Result:
523 results → manually review → 50 maybes
What you do:
AI finds exact-fit sources instantly
Example:
Recommended Newsletters
| Newsletter | Why It Fits |
|---|---|
| awesomefintech | founder journeys; aligns with startup storytelling |
| fintechprimetime | data-driven analysis; ideal for market-context pitches |
| frontierfintech | investment opportunities; great for funding angles |
Recommended Podcasts
| Podcast | Why It Fits |
|---|---|
| Fintech Founders | startup journeys; strong fit for founder-led announcements |
| Fintech & Fintech | fintech conversations; broad reach for industry context |
| Fintech One-on-One | in-depth interviews; good for deep dives into tech/business |
Recommended Reporters
| Reporter | Outlet | Why It Fits |
|---|---|---|
| Mary Ann Azevedo | TechCrunch | fintech beat; funding and startup ecosystem angles |
| Fintech Weekly Staff | FinTech Weekly | strong fintech beat; market shifts and regulatory angles |
| Finextra Staff | Finextra | high-volume coverage in Europe; reliable for trends |
Result:
50+ perfect-fit sources with context
3. Check Fit
What you do:
Deep research on each source
Example:
Open each profile → Read last 10 articles → Check Twitter → Note what they care about → Identify angle → Repeat 50 times
Result:
Narrow to 20 good fits with notes
What you do:
AI already analyzed everything
Example:
Ross at Venture in Security covered similar fraud detection 2 weeks ago, prefers technical deep dives, strong for ex-Stripe angle
Result:
All sources pre-qualified with pitch angles
4. Write Pitches
What you do:
Manually write every pitch
Example:
Research what each person covers → Draft personalized email → Reference their work → Explain why relevant → Craft subject line → Repeat 20 times
Result:
20 pitches written from scratch
What you do:
AI writes all pitches for you
Example:
Noticed your recent piece on fraud detection approaches. We're taking a different angle with real-time banking API integration.
Ex-Stripe engineer, $5M from a16z, 3 neobanks already using it. Worth a deep dive?
Our founder built Stripe's fraud system, raised from a16z, went 0-to-10 customers in 60 days. Would love to share the founder journey and what we learned about selling security to neobanks.
Exclusive: Ex-Stripe engineer raises $5M from a16z to fight fintech fraud with real-time ML. 3 neobanks already signed. Happy to provide demo access and founder interview.
Result:
100 personalized pitches ready to send
5. Send & Track
What you do:
Manual outreach & follow-up
Example:
Copy-paste each pitch → Send one by one → Track in spreadsheet → Set calendar reminders for follow-ups
Result:
Emails sent, now manual follow-up
What you do:
One-click send
Example:
Review pitches → Click send → Done
Result:
All pitches sent
That's 8 hours and 42 minutes saved per campaign. Run 4 campaigns a month? That's 34 hours back in your life.
The Feature MuckRack Doesn't Have
AI that writes personalized pitches for you
To Venture in Security
To Fintech Founders Podcast
To TechCrunch
With MuckRack
You write all 100 pitches yourself (8+ hours)
With HeyJared
AI generates 100 personalized pitches (30 seconds)
Database Coverage: The Honest Truth
Yes, MuckRack has podcasts and newsletters. Here's what actually matters:
| Source Type | MuckRack | HeyJared |
|---|---|---|
| Journalists | 500K+ | ✓ Covered |
| Podcasts | ~800K (Apple active) | 4.5M (full ecosystem) |
| Newsletters | Not disclosed | 132K (Substack) |
| AI Pitch Writing | None | Full Auto |
| Story Understanding | Keywords only | Semantic AI |
| Annual Cost | $10,000 | $1,188 |
The Real Question Isn't "Who Has More Podcasts?"
It's "Do you want to spend 8 hours searching and writing... or 3 minutes getting ready-to-send emails?"
100x Less for Better Results
MuckRack
Annual contract required
Output: List of contacts
Your work: 8+ hours per campaign
HeyJared
No subscription. Pay only when you need more.
Pro ($29): Reveal contacts, send yourself
Stop Searching Databases.
Start Getting Results.
Paste your story. Get ready-to-send pitches. From $29 one-time coverage.