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SpeakWith helps teams uncover the why behind every user action, combining behavioral analytics, adaptive micro-feedback, and persona insights to anticipate what users will want from your product next.

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.
Website, pricing, platforms and company facts side by side.
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| Website | spkwith.com | diffyn.com |
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| Company | Startup from Iceland · 1 - 9 employees · 2025 | — |
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In their own words, as submitted to SaaSHub.


SpeakWith is a real-time user intelligence platform that helps teams understand what truly drives their users and what they will want from their product next. Instead of relying only on analytics that show what people do, SpeakWith reveals why they act that way. It detects changes in user...
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What each product offers, as listed by its team.


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The Ultimate Prompt Tool for Creators – Visualize & Organize with Diffyn
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Spkwith and Diffyn.
Spkwith's answer
Spkwith turns analytics into understanding. It captures what users do and why they do it by asking smart, in-product questions at the right moment. The new 360° user view brings everything together so teams can see what motivates each user and act on it right away.
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.
Spkwith's answer
Most tools tell you what happened. Spkwith tells you why it happened and what will likely happen next. It adapts feedback in real time and translates user behavior into clear insights that help teams keep people engaged, reduce drop-offs, and make better product decisions faster.
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
Spkwith's answer
Spkwith runs on AWS with services like Bedrock and Lambda, built in Next.js and Node.js with PostgreSQL for data. It connects directly with tools like Segment, Amplitude, and Auth0, and uses AI models to generate adaptive questions and motivation insights.
Diffyn's answer:
React, Next.js, POSTGRESQL
Spkwith's answer
Spkwith is built for digital teams who care about their users but don’t have time for long research cycles. Our main users are people running e-commerce stores or booking flows who want to truly understand what drives or stops their customers.
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
Spkwith's answer
We started Spkwith after years of watching teams stare at numbers but still not know what their users were thinking. We wanted to bridge that gap, to make it easy for any company to ask the right question at the right time and finally see what really drives behavior.
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.
Spkwith's answer
Spkwith is in its early launch stage and currently onboarding pilot users. We’re in active discussions with teams at National Geographic and The Hut Group about early access to our adaptive feedback platform.
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