AI that learns how you work and turns it into software
Yanshu learns from the work you already do. It spots repeated tasks across files, messages, and workflows, then turns the best patterns into apps and automations. No process mapping or blank canvas—just the routines worth systemizing. Use it to automate recurring work, build lightweight internal tools, and speed up daily ops without writing code.
Hi everyone. This is Bo. One of the builder of Yansu.
We set out a vision of bespoke software at scale. All of the software in the future will tailored to your exact needs and drifting with you as you change and grow.
However, we see two challenges. First, not everyone has the time, energy or intention to build for themselves. Second, for those building they have to tinkering with it a lot to build the right thing and continue managing it.
We solve this with two new ideas:
Switching the relationship between software and human/user. Software is the proactive actor and human/user is the reactive one. Software is proactively and automatically created for you. You don’t have to wage any energy on it.
Observe your screens and summarize and understand your intentions without you explicitly telling the AI. This solves the drift and tinkering problem.
When these two ideas comes together, you have an app that is:
Continuously understand, build and refine knowledge about you and the entities that relate to you.
From observation and understanding it proactively builds the right app for your exact needs:
Take over your current task and automatically complete it via Hand-Off
Understand your daily patterns and generate scheduled automations.
Understand your unique challenges and options and create bespoke desktop apps just for you.
We believe these capabilities not just right one for future and also extremely powerful today. Hand-off feature has many WOW moments for me and I am still blowing away by it.
Give it a try and let us what do you think. We are here to answer questions and discuss about roadmap and the thinking behind it.
Have fun!
Bo
PS. Since many asked about privacy. I want to share how we think about it. Trust and Privacy is the most important element for us. It is the value we do not trade off. How does it reflect in the app: 1. All information are stored locally 2. All OCR/audio are processed locally 3. We proactively remove ANY PII information 4. Users have full control of what app can be observed 5. Users have quick action can stop it anytime
About Yansu on Product Hunt
“AI that learns how you work and turns it into software”
Yansu launched on Product Hunt on May 25th, 2026 and earned 245 upvotes and 81 comments, earning #3 Product of the Day. Yanshu learns from the work you already do. It spots repeated tasks across files, messages, and workflows, then turns the best patterns into apps and automations. No process mapping or blank canvas—just the routines worth systemizing. Use it to automate recurring work, build lightweight internal tools, and speed up daily ops without writing code.
On the analytics side, Yansu competes within Productivity, Artificial Intelligence and Maker Tools — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Yansu performed against the three products that launched closest to it on the same day.
Who hunted Yansu?
Yansu was hunted by Justin Jincaid. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Yansu including community comment highlights and product details, visit the product overview.
Hi everyone. This is Bo. One of the builder of Yansu.
We set out a vision of bespoke software at scale. All of the software in the future will tailored to your exact needs and drifting with you as you change and grow.
However, we see two challenges. First, not everyone has the time, energy or intention to build for themselves. Second, for those building they have to tinkering with it a lot to build the right thing and continue managing it.
We solve this with two new ideas:
Switching the relationship between software and human/user. Software is the proactive actor and human/user is the reactive one. Software is proactively and automatically created for you. You don’t have to wage any energy on it.
Observe your screens and summarize and understand your intentions without you explicitly telling the AI. This solves the drift and tinkering problem.
When these two ideas comes together, you have an app that is:
Continuously understand, build and refine knowledge about you and the entities that relate to you.
From observation and understanding it proactively builds the right app for your exact needs:
Take over your current task and automatically complete it via Hand-Off
Understand your daily patterns and generate scheduled automations.
Understand your unique challenges and options and create bespoke desktop apps just for you.
We believe these capabilities not just right one for future and also extremely powerful today. Hand-off feature has many WOW moments for me and I am still blowing away by it.
Give it a try and let us what do you think. We are here to answer questions and discuss about roadmap and the thinking behind it.
Have fun!
Bo
PS. Since many asked about privacy. I want to share how we think about it.
Trust and Privacy is the most important element for us. It is the value we do not trade off.
How does it reflect in the app:
1. All information are stored locally
2. All OCR/audio are processed locally
3. We proactively remove ANY PII information
4. Users have full control of what app can be observed
5. Users have quick action can stop it anytime