[HN Gopher] Show HN: Ourguide - OS wide task guidance system tha...
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       Show HN: Ourguide - OS wide task guidance system that shows you
       where to click
        
       Hey! I'm eshaan and I'm building Ourguide -an on-screen task
       guidance system that can show you where to click step-by-step when
       you need help.  I started building this because whenever I didn't
       know how to do something on my computer, I found myself constantly
       tabbing between chatbots and the app, pasting screenshots, and
       asking "what do I do next?" Ourguide solves this with two modes. In
       Guide mode, the app overlays your screen and highlights the
       specific element to click next, eliminating the need to leave your
       current window. There is also Ask mode, which is a vision-
       integrated chat that captures your screen context--which you can
       toggle on and off anytime -so you can ask, "How do I fix this
       error?" without having to explain what "this" is.  It's an Electron
       app that works OS-wide, is vision-based, and isn't restricted to
       the browser.  Figuring out how to show the user where to click was
       the hardest part of the process. I originally trained a computer
       vision model with 2300 screenshots to identify and segment all UI
       elements on a screen and used a VLM to find the correct icon to
       highlight. While this worked extremely well--better than SOTA
       grounding models like UI Tars--the latency was just too high. I'll
       be making that CV+VLM pipeline OSS soon, but for now, I've resorted
       to a simpler implementation that achieves <1s latency.  You may
       ask: if I can show you where to click, why can't I just click too?
       While trying to build computer-use agents during my job in Palo
       Alto, I hit the core limitation of today's computer-use models
       where benchmarks hover in the mid-50% range (OSWorld). VLMs often
       know what to do but not what it looks like; without reliable visual
       grounding, agents misclick and stall. So, I built computer use--
       without the "use." It provides the visual grounding of an agent but
       keeps the human in the loop for the actual execution to prevent
       misclicks.  I personally use it for the AWS Console's "treasure
       hunt" UI, like creating a public S3 bucket with specific CORS
       rules. It's also been surprisingly helpful for non-technical tasks,
       like navigating obscure settings in Gradescope or Spotify. Ourguide
       really works for any task when you're stuck or don't know what to
       do.  You can download and test Ourguide here:
       https://ourguide.ai/downloads  The project is still very early, and
       I'd love your feedback on where it fails, where you think it worked
       well, and which specific niches you think Ourguide would be most
       helpful for.
        
       Author : eshaangulati
       Score  : 16 points
       Date   : 2026-01-26 18:19 UTC (4 hours ago)
        
 (HTM) web link (ourguide.ai)
 (TXT) w3m dump (ourguide.ai)
        
       | culopatin wrote:
       | What data do you extract from interactions?
        
       | DontBreakAlex wrote:
       | Looks cool, I think you should try to target it towards the
       | elderly. My 99 year old grandpa is capable of using a computer
       | and browsing the web, but struggles whenever he gets out of the
       | "usual flow" (accidentally removes the chrome icon from his
       | taskbar, whenever the crappy web-based email he insists on using
       | over thunderbird moves the add attachment button). I end up
       | having to do teamviewer to show him what I can't explain over the
       | phone. He would very much use an assistant that shows him what to
       | do, especially if he can speak to it.
        
       | iosguyryan wrote:
       | Nicely conceived! This is the kind of feature Apple ought to have
       | already delivered with on device models and private cloud
       | compute.
       | 
       | Sending many whole screenshots to an indie mystery box, though,
       | should be a non-starter for anyone without the skills to verify
       | what any given update to this app is doing. Your website's
       | featured use case highlights the risks (to you and users)
       | unintentionally well: "How do I export my passwords?" (I did a
       | double take: was this performance art from The Onion?) If a user
       | opens a plain text file of secrets without closing this app/the
       | help task, what gets captured, sent over the network, and saved
       | to disk? What protections exist for, say, a computer-challenged
       | elderly person's banking details?
       | 
       | A suggestion about the FAQ ...
       | 
       | "Where is my task history stored? Is it private? Your privacy is
       | our top priority. Your task history is stored securely and
       | encrypted on your local machine by default. You have full control
       | over your data."
       | 
       | ... This invites unanswered questions about what exactly from the
       | screenshots is stored, for how long, and what design backs the
       | "securely" claim. Being up front about this would invite trust
       | and helpful developer feedback.
        
       | gyanchawdhary wrote:
       | Checkout https://techcrunch.com/2016/05/02/google-acquires-
       | synergyse-... ..
       | 
       | Google acquired these guys back in 2016 to help users learn how
       | to use Google cloud products via interactive tutorials using a
       | step by step guidance / walkthrough (the user had to install a
       | chrome extension)
       | 
       | One of the best use cases would be edtech ... think of
       | interactive labs where your product can guide learners / students
       | to complete a task and hand hold them ..
        
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       (page generated 2026-01-26 23:01 UTC)