This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Unlike Microsoft Recall (closed, needs $1000+ hardware) or Screenpipe (requires separate OCR + Whisper + external LLM), ScreenMind uses one local Gemma 4 model for everything — screen vision, audio transcription, chat, and reasoning. No cloud, no telemetry, no accounts. Captures only when content changes. Search or chat with your full screen history in plain English. Build automations in Markdown. Runs on a 4GB GPU. MIT licensed, pip install.
Hey PH! I launched ScreenMind back in May and honestly got zero traction. Since then I've put in 73 commits — Model Hub UI, desktop launcher, PyPI packaging, 166 tests, a proper landing page.
The core idea hasn't changed: one local model that sees your screen, remembers everything, and lets you search/chat over it. No cloud, no telemetry, no subscriptions.
I built this because I kept losing context — tabs I closed, errors I saw, things people said in meetings. Microsoft showed the world wants this with Recall, but I wanted something open and private.
Happy to answer any questions. Feedback on the landing page especially welcome — I had fun building it: screenmind.pages.dev
This is honestly really cool, especially the local-only angle since I don't trust cloud tools with my screen. One thing though, I'd love a way to pause or exclude specific apps from being captured, like games or banking stuff. A simple blacklist with a system tray toggle would make it feel way less invasive day to day.
Searched back through my screen for an error from earlier and it actually pulled up the exact stack trace without me having to scroll anywhere. Loving that everything stays local too.
pip install was painless and the "what was that error 2 hours ago" demo actually pulled up the right stack trace from earlier. Wish the local model was a bit snappier on my aging laptop, but the privacy angle makes it worth the wait.
the local-only angle is genuinely appealing, especially for handling sensitive screens at work. one thing that would seal the deal for me is adding a way to manually redact or exclude specific apps or windows from capture, since I don't want every banking session or private DM ending up in searchable memory even if it stays on my machine.
About ScreenMind on Product Hunt
“Remember everything. Share Nothing.”
ScreenMind was submitted on Product Hunt and earned 15 upvotes and 9 comments, placing #51 on the daily leaderboard. Unlike Microsoft Recall (closed, needs $1000+ hardware) or Screenpipe (requires separate OCR + Whisper + external LLM), ScreenMind uses one local Gemma 4 model for everything — screen vision, audio transcription, chat, and reasoning. No cloud, no telemetry, no accounts. Captures only when content changes. Search or chat with your full screen history in plain English. Build automations in Markdown. Runs on a 4GB GPU. MIT licensed, pip install.
ScreenMind was featured in Productivity (656.7k followers), Open Source (68.6k followers), Developer Tools (516.2k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 263.8k products, making this a competitive space to launch in.
Who hunted ScreenMind?
ScreenMind was hunted by Ayush. 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.
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Ayush