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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.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | digraph.dev | spkwith.com |
| Pricing | ||
| Company | Startup from the United States · 1 - 9 employees | Startup from Iceland · 1 - 9 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...
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...
What each product offers, as listed by its team.


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


No analysis of Digraph.dev yet.
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Digraph.dev and Spkwith.
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.
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.
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.
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.
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.
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.
Share your experience with using Digraph.dev and Spkwith. For example, how are they different and which one is better?
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