For all the talk about data-driven decision-making, many teams still find themselves stuck at the same bottleneck: interpretation. There’s no shortage of information: spreadsheets, metrics, and dashboards, but the story behind the numbers remains elusive. Visualizations exist, but they’re often generic. Reports get generated, but they’re rarely read. Somewhere between raw input and polished insight, the message gets lost. Graphitup exists to make sure that doesn’t happen.
Founded by product developer Matt Jensen, Graphitup was created in response to a pattern he’d seen too many times: companies gathering data at scale, but struggling to communicate what it actually meant. The platform doesn’t just make charts; it helps users identify which stories are hidden in their spreadsheets and how to bring those stories to life in a way that’s clean, clear, and designed for real-world communication.
Instead of asking users to start with a chart type and figure out what to say, Graphitup reverses the flow. The system scans a dataset, anything from campaign performance to sales metrics, and surfaces a list of potential narrative angles. What’s rising? What’s falling? What changed unexpectedly? It flags these shifts and then recommends a layout to match the insight. Users can move forward with one of the options or pivot to something else entirely. The platform doesn’t assume it knows the answer: it gives users structured support for figuring it out.
This approach came out of a deliberate decision not to rush. Jensen watched the first wave of AI-powered tools flood the market, many offering fully automated “one-click” analysis with limited room for context. “We saw how often that backfired,” he says. “The conclusions looked polished, but they didn’t match what people actually needed to communicate.” So Graphitup did something unusual for an early-stage product: it waited. The team observed what worked, what didn’t, and what users still asked for after automation had run its course.
The product that emerged doesn’t promise to replace analysts or automate the editorial process. Instead, it supports the kinds of thinking people already do when interpreting data, highlighting what’s changing, helping prioritize what to share, and providing a structure that speeds things up without flattening nuance. Jensen describes the experience as “having a system that nudges you toward clarity without taking over the conversation.”
One of the challenges they tackled head-on was visual design. While many platforms allow users to generate graphs, few focus on making them usable outside of the analytics environment. Graphitup’s outputs are built for presentation, slides, reports, investor updates, internal strategy decks, and even social media. Each visualization is styled to match a brand’s aesthetic and includes design flexibility more often associated with creative tools than with analytics software.
That blend of analytical support and creative polish makes Graphitup a natural fit for a range of users. Some are marketing leads who need to package performance results for senior stakeholders. Others are content creators looking to build visual explainers or case studies. Still others are founders, operators, or consultants who want to extract something meaningful from a performance dashboard without relying on a designer or analyst every time.
Graphitup was shaped by the same values it brings to its users: focus, clarity, and purposeful design. Built by a lean, globally distributed team, the product reflects a commitment to making every element do its job without excess. Its interface is lightweight by design, not because of constraints, but because Jensen and his team believe that good tools should stay out of the way. “When you don’t have a shared office or constant meetings, you learn to make the work speak for itself,” he says. “Every part of the system had to be understandable on its own.”
That thinking shows up in how users interact with Graphitup. There’s no required flow, no locked-in process. People can upload a dataset, explore narrative options, and return to refine it later. Whether they need to build something quickly or dig deeper into multiple angles, the platform adapts to how they think, not the other way around.
While the product is still in its early stages, Jensen sees adoption growing among users who are tired of tools that create more work than they solve. “The feedback we get most often is that it feels like the first tool that helps them think, not just track,” he says. For him, that’s the benchmark: not how many graphs get created, but how many people walk away with a clearer understanding of what their data is actually trying to say.
He’s also clear that data storytelling is inherently human. AI can accelerate discovery, but it can’t replace intuition, context, or judgment. “You can have the most technically accurate graph in the world, and it still won’t resonate if the story isn’t relevant,” Jensen adds. “So we focus on helping people build something that makes sense for the moment they’re in.”
That emphasis on restraint, on building only what’s needed and letting users drive, feels increasingly rare in a space obsessed with scale and speed. But for Graphitup, it’s the whole point. The product doesn’t claim to solve every problem. It solves one clearly: helping people see and share what matters in their data.
Curious what your spreadsheet is really trying to say? Try Graphitup at graphitup.com and turn your next report into a story worth reading.
