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Turn reactions and comments into booked meetings. Automate your prospecting to target active leads based on real-time signals.

Which is more popular?
Based on our record, Trace seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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Trace
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| Website | sonarly.io | risingstack.com |
| Pricing | — | |
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| Company | Startup from Germany · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.

Most cold outreach gets ignored because the timing is off. We all know the standard process. You export a thousand leads from Sales Navigator, send a generic template, and hope for a reply. But usually, you just get ignored. The problem is that legacy tools give you static lists like job titles...
No description of Trace yet.
What each product offers, as listed by its team.

Possible disadvantages
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Trace is particularly recommended for Node.js developers, DevOps engineers, and IT operations teams who need a reliable tool for monitoring and optimizing the performance of their applications. It is well-suited for medium to large-scale applications where understanding detailed performance metrics is critical for maintenance and improvement.
Walkthroughs and reviews on video.
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This Disc Really Surprised Me - A Review of the Streamline Trace
More videos
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing Sonarly and Trace.
Sonarly's answer
Most outreach tools are just "databases" that give you static lists of leads (Job Title + Industry). Sonarly is a Signal Engine. We don't just tell you who a lead is; we tell you when to contact them. We monitor real-time trigger events like hiring sprees, funding rounds, and recent LinkedIn posts to identify the exact moment a prospect is ready to buy.
Sonarly's answer
Three reasons:
Timing over Volume: Competitors let you spam 1,000 people. We help you contact the 50 who actually have a need right now.
Context, not Templates: Our AI doesn't write generic fluff. It uses the specific signal found (e.g., "Saw you are hiring a Head of Sales") to write a hyper-relevant opener automatically.
GDPR & Trust: Unlike many "grey-zone" scraping tools from the US, we are a German GmbH built with strict European data compliance in mind.
Sonarly's answer
B2B Founders, Heads of Sales, and Growth Hackers who are tired of the "Spray and Pray" approach. They don't have time to manually research leads for hours, but they refuse to send low-quality spam. They want high-converting, signal-based outreach on autopilot.
Sonarly's answer
My co-founder Maurice and I were sick of deleting bad cold DMs from our own inboxes. We realized the problem wasn't "cold outreach"—it was the lack of relevance. We tried doing it manually (checking funding news, scanning posts), and it worked perfectly, but it took way too much time. So, we built Sonarly to automate the "manual research" process that top 1% sales reps do, making it accessible to everyone.
Sonarly's answer
We use a proprietary Real-Time Signal Monitoring Engine to scan LinkedIn and external data sources. On top of that, we layer a specialized Generative AI model tuned specifically for B2B sales context to transform raw data signals into natural, human-sounding conversation starters.
Sonarly's answer
Private Beta Cohort (Stealth Mode Startups)
Early Adopter B2B Agencies
(Currently onboarding our exclusive "Founding Users" for the Q1 2026 public launch)
Share your experience with using Sonarly and Trace. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Tracking Sonarly since Dec 2025.
RisingStack is a full-stack software development company specializing in building highly-scalable and resilient digital products. Since its inception, they have been using Kubernetes to orchestrate highly available distributed systems. - Source: dev.to / almost 4 years ago
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