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Sign My PDF
A simple SaaS tool for signing uploaded PDFs at no cost.
SaaS
B2C
Managing diabetes is exhausting. Every meal means constant math: counting carbs, calculating insulin, remembering to administer insulin every meal. One slip can throw everything off.
I built Steady after seeing my girlfriend, Kiara, face that challenge daily with type 1 diabetes. It’s an AI-powered MVP that makes tracking faster, easier, and less stressful.
Project overview
Steady is a concept for an AI powered carb and insulin tracking app that helps people with diabetes understand how specific foods affect their glucose.
Connects food logging with real time CGM data
Shows how meals impact glucose trends
Helps users make faster, more confident food decisions
This project started as a personal side project inspired by my girlfriend Kiara, who manages type 1 diabetes. The first version explored the problem space and resulted in an early prototype.
I gathered feedback from registered dietitians and diabetes specialists at the University of Michigan along with early user feedback. This project represents a rebuilt V2 based on those insights.
Latest designs
Methodology
Research and organization
Consolidated prior research from the first Steady prototype
Synthesized interviews with University of Michigan clinicians and dietitians
Included direct conversations with people managing diabetes
Used Perplexity for desk research on CGM workflows, diabetes management, and nutrition tracking
Organized insights and patterns in one place to clarify the problem space
Define the product
Used Figma and FigJam to define the problem statement and primary persona
Mapped current diabetes food and glucose workflows
Designed an optimized workflow for connecting meals and glucose data
Created the early information hierarchy to structure the product
Gathered interface ideas and references based on this structure
AI-assisted ideation
Used the research and product structure to build a foundational prompt
Tested early concept generation using Lovable, Google Stitch, and Figma Make
Evaluated outputs across tools as an ideation method
Consolidated the strongest design direction into Lovable
Rapid design and prototyping
Designed the product, prototype, and early brand directly in Lovable
Iterated on UX and functionality simultaneously through rapid prototyping
Gathered continuous feedback from my girlfriend who manages Type 1 diabetes
Refined the product through multiple iterations over several days
Note: Version 2 of Steady is still in progress.
Results and impact
The MVP gave Kiara a faster, more supportive flow, without mental math. She can log meals, get AI carb and insulin estimates, and track everything in one place.
Clinicians who reviewed the prototype called it a clear improvement over existing tools, with one stating they’d recommend Steady over GluRoo as the “superior” option for patients.
"If this becomes operational, I would be more than happy to recommend this rather than GluRoo [leading competitor] to our patients.
It would give the value that the diabetes population needs - so this would make it superior."
Katy G.
Registered Dietitian; Certified Diabetes Specialist - University of Michigan Health
V1: Designs and live prototype
Try the live prototype of the first version of Steady: Open the live Steady MVP
Please note that this is the earlier version of the MVP and is no longer being actively worked on. The design and brand system for Steady is reflective in the 'Latest Designs' section above.
How to explore (takes 30 seconds):
Enter the app and click (+)
Tap Upload Meal to add a photo (or use the sample images).
See instant carb + insulin estimates.
Navigate to History to view logged meals.
Explore other tabs and features!
Important: This is an MVP demo, not medical advice. There may be bugs or placeholder content. For feedback or questions, reach out to josh@buildwithfloat.com
What's next
More testing with a wider set of users
Exploring integration with continuous glucose monitors (CGMs)
Shaping Steady into a real product, with stronger privacy, onboarding, and personalization built in.
We have a working MVP that feels real, so the next step is pressure-testing it in daily life and expanding its reach.
Lessons for founders
A small, focused MVP is enough to test a problem meaningfully.
In health, trust and tone carry as much weight as the feature set.
Building for a real person surfaces more insights than assumptions and personas.
This project shows how quickly a focused MVP can move from an idea to something real in a person’s hands, proving impact before it ever needs to scale.
Managing diabetes is exhausting. Every meal means constant math: counting carbs, calculating insulin, remembering to administer insulin every meal. One slip can throw everything off.
I built Steady after seeing my girlfriend, Kiara, face that challenge daily with type 1 diabetes. It’s an AI-powered MVP that makes tracking faster, easier, and less stressful.
Project overview
Steady is a concept for an AI powered carb and insulin tracking app that helps people with diabetes understand how specific foods affect their glucose.
Connects food logging with real time CGM data
Shows how meals impact glucose trends
Helps users make faster, more confident food decisions
This project started as a personal side project inspired by my girlfriend Kiara, who manages type 1 diabetes. The first version explored the problem space and resulted in an early prototype.
I gathered feedback from registered dietitians and diabetes specialists at the University of Michigan along with early user feedback. This project represents a rebuilt V2 based on those insights.
Latest designs
Methodology
Research and organization
Consolidated prior research from the first Steady prototype
Synthesized interviews with University of Michigan clinicians and dietitians
Included direct conversations with people managing diabetes
Used Perplexity for desk research on CGM workflows, diabetes management, and nutrition tracking
Organized insights and patterns in one place to clarify the problem space
Define the product
Used Figma and FigJam to define the problem statement and primary persona
Mapped current diabetes food and glucose workflows
Designed an optimized workflow for connecting meals and glucose data
Created the early information hierarchy to structure the product
Gathered interface ideas and references based on this structure
AI-assisted ideation
Used the research and product structure to build a foundational prompt
Tested early concept generation using Lovable, Google Stitch, and Figma Make
Evaluated outputs across tools as an ideation method
Consolidated the strongest design direction into Lovable
Rapid design and prototyping
Designed the product, prototype, and early brand directly in Lovable
Iterated on UX and functionality simultaneously through rapid prototyping
Gathered continuous feedback from my girlfriend who manages Type 1 diabetes
Refined the product through multiple iterations over several days
Note: Version 2 of Steady is still in progress.
Results and impact
The MVP gave Kiara a faster, more supportive flow, without mental math. She can log meals, get AI carb and insulin estimates, and track everything in one place.
Clinicians who reviewed the prototype called it a clear improvement over existing tools, with one stating they’d recommend Steady over GluRoo as the “superior” option for patients.
"If this becomes operational, I would be more than happy to recommend this rather than GluRoo [leading competitor] to our patients.
It would give the value that the diabetes population needs - so this would make it superior."
Katy G.
Registered Dietitian; Certified Diabetes Specialist - University of Michigan Health
V1: Designs and live prototype
Try the live prototype of the first version of Steady: Open the live Steady MVP
Please note that this is the earlier version of the MVP and is no longer being actively worked on. The design and brand system for Steady is reflective in the 'Latest Designs' section above.
How to explore (takes 30 seconds):
Enter the app and click (+)
Tap Upload Meal to add a photo (or use the sample images).
See instant carb + insulin estimates.
Navigate to History to view logged meals.
Explore other tabs and features!
Important: This is an MVP demo, not medical advice. There may be bugs or placeholder content. For feedback or questions, reach out to josh@buildwithfloat.com
What's next
More testing with a wider set of users
Exploring integration with continuous glucose monitors (CGMs)
Shaping Steady into a real product, with stronger privacy, onboarding, and personalization built in.
We have a working MVP that feels real, so the next step is pressure-testing it in daily life and expanding its reach.
Lessons for founders
A small, focused MVP is enough to test a problem meaningfully.
In health, trust and tone carry as much weight as the feature set.
Building for a real person surfaces more insights than assumptions and personas.
This project shows how quickly a focused MVP can move from an idea to something real in a person’s hands, proving impact before it ever needs to scale.
SignMyPDF (https://signmypdf.org/) is a lightweight SaaS tool built to eliminate the friction common in most PDF signing workflows. Existing solutions often require account creation, push hidden subscriptions, or introduce unnecessary complexity, despite the task itself being simple.
We built Sign My PDF as an internal tool first: a clean, fast, browser-based experience that lets users upload, sign, and download documents instantly, with no logins, no plugins, no overhead. The product prioritizes speed, usability, and transparency, reducing PDF signing to its essential steps while maintaining a professional, reliable experience.
