
The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.

Datadog
Sentry.io
NewRelic
Maxim AI
Zenity
Braintrust
Galileo AI
An AI call detective in Slack. Ask about your calls in plain English — it investigates Twilio, ElevenLabs & Genesys among many other aservices and answers in seconds. Slack-native forensics for Twilio + ElevenLabs call failures

Website, pricing, platforms and company facts side by side.
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| Website | diffyn.com | usesherlock.ai |
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| Company | — | Startup from Spain · 1 - 9 employees · 2026 |
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In their own words, as submitted to SaaSHub.


No description of Diffyn yet.
Sherlock Calls investigates failed voice AI calls and posts the findings in Slack: a correlated cross-provider timeline, root cause with evidence, and first checks in triage order — giving voice AI observability to telephony engineers and on-call SREs without new dashboards. When a Twilio,...
What each product offers, as listed by its team.


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


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The Ultimate Prompt Tool for Creators – Visualize & Organize with Diffyn
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As answered by people managing Diffyn and useSherlock.ai.
Diffyn's answer
Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.
useSherlock.ai's answer:
Sherlock Calls is the only tool that correlates voice AI call events across multiple providers (Twilio, ElevenLabs, Vapi, Retell AI, etc.) into a single incident case file posted in Slack. Most observability tools show dashboards. Sherlock answers specific questions like why did this call fail? The output is a Slack thread with a timestamped cross-provider timeline, root cause with evidence, troubleshooting options, and first checks in triage order, not another screen to monitor.
Diffyn's answer
Diffyn is the platform that specializes on both change management and multi-model analysis.
useSherlock.ai's answer:
Generic APM tools like Datadog and New Relic were not built for voice AI stacks. They don't understand the relationship between Twilio telephony events and ElevenLabs TTS behavior, or how webhook delivery timing affects call outcomes. Sherlock is purpose-built for cross-provider voice call correlation. Setup is OAuth-only. 60 seconds, no code changes, no agent installation.
Diffyn's answer
React, Next.js, POSTGRESQL
useSherlock.ai's answer:
Next.js, TypeScript, Supabase (PostgreSQL), All major LLMs, Slack API, Stripe, Vercel, Resend, Supabase
Diffyn's answer
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
useSherlock.ai's answer:
Engineering teams running voice AI in production: telephony engineers, on-call SREs, voice AI operators, and technical founders whose product relies on AI phone agents built on Twilio, Genesys, ElevenLabs, Vapi, or Retell AI, among others.
Diffyn's answer
I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.
useSherlock.ai's answer:
Built by Borja, Jorge and Jose after years working in the voice AI and telephony space. Every call failure investigation followed the same pattern: open the Twilio console, open the ElevenLabs dashboard, pull webhook logs, reconcile timestamps manually, guess at the root cause. Two to three hours per incident. They kept asking why no tool just answered the question. When they looked and found nothing purpose-built for voice AI stacks, they built it themselves.
useSherlock.ai's answer:
We are our own first clients and we are seeking other like-minded individuals and teams facing the same problems that could try our product and provide us with some feedback.
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