FOR COMPANIES & TEAMS · MACOS & WINDOWS
Distraction (blocked) costs more than the license.
Nobody on your team loses a day at once. They lose it in forty five-minute slices, one alt-tab at a time. Give each machine a policy in plain language, and every request from every app gets the same calm ruling before the distraction can take hold.
Free tier: 2 h/day, forever · free account, no card · the download is identical for everyone
The tutorial plays. The entertainment waits until five.
Where the day actually goes.
You’re not weighing this against a perfect team. You’re weighing it against the tools that failed quietly: the blocklist everyone routed around, and the monitoring suite everyone resented.
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Context dies in the alt-tab.
An engineer twenty minutes into a hard problem doesn’t lose the afternoon to the feed. They lose the twenty minutes it takes to rebuild the stack after “just checking.” Here, off-intent content never takes hold. It never appears, or a plain notice stands in its place, so there’s nothing to come back from. The impulse passes, and the work is still on screen.
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Monitoring software costs you the trust it promises to protect.
No reporting console, no browsing log, no per-employee file: none of it exists to be reviewed, requested, or leaked. The app rules on each request at the machine and keeps no diary. Your team gets a filter, not a supervisor. Works councils can read that sentence twice.
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Blocklists don’t survive contact with real work.
The docs your team needs and the feed it doesn’t share domains. Block reddit.com and you block the migration thread your engineer was sent; allow it and you’ve allowed r/all too. A domain switch forces that bad trade every time. A per-request ruling on the full URL never has to make it.
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You’ve already paid for tools nobody opened.
There’s nothing to open. This isn’t a habit your team has to build or a tab they have to remember. It runs at the network level and does its job whether anyone thinks about it or not. It deploys like any desktop software: macOS and Windows, with one plain-language policy enforced across every machine or different policies for different teams, as you see fit. And it coexists with the security stack you already run, Zscaler-style gateways included, a local proxy that sits between the layers rather than fighting them. Volume licensing is a conversation, not a portal.
Declare. Intercept. Classify. Rule.
No category database, no keyword list, no admin curriculum. One sentence per machine, and a ruling on every request against it.
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01DECLARE
Each machine gets a policy in plain language.
“Engineering work on the payments platform.” Written once, by a human, readable by every person it applies to. No regex, no category tree, no vendor taxonomy.
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02INTERCEPT
The filter sits at the network level of the machine.
Every browser, every app, every request, caught in the gap between the click and the page starting to load. Getting around it takes more than a proxy site and thirty seconds.
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03CLASSIFY
Every request is judged against the policy.
The URL first, and where the address alone can’t decide, the content itself, judged as the page loads, asynchronously, so nothing waits. Not a history, not a profile, not a keystroke.
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04RULE
Allow or block, before it takes hold.
On-intent browsing feels like browsing. Off-intent content never appears, or a plain blocked notice stands in its place. Nobody upstream is taking notes, because there is nowhere for notes to go.
INTENT“engineering work, payments platform”
github.com/yourco/paymentsallowedgithub.com/trendingblocked
Same domain. Different verdict. That’s the whole trick.
Leaves the machine
- The URL being checked
- The intent text it’s checked against
- Page content: only when the address alone can’t decide
Classification returns a verdict and nothing else; content checks run on the machine or in the cloud. Enterprise pilots can route them to local inference inside your network instead, so evaluation never has to leave your infrastructure.
Never kept, never exists
- Browsing history
- Ads, profiles
- Anything per-employee: no log, no report, no file
There is no dashboard for a manager to open, because none exists. Deeptegrity Kft, Budapest. EU jurisdiction, GDPR by law.
Start small, on purpose.
Pick one team. Put the app on their machines, write one honest policy per machine, and let a few weeks of un-fed afternoons make the case. Volume licensing, when you’re ready, starts in the same inbox as the pilot. And for reviews that require evaluation to stay in-house, enterprise pilots can run content analysis on local inference, on models inside your own infrastructure.
Enforced everywhere. Surveilled nowhere.
Prefer hands-on first? Download it on one machine today ↓ The free tier runs on a free account, no card, and it’s the identical binary your whole fleet would get.
What your IT review will ask.
Can we monitor what our students or employees browse?
No, by design. There is no dashboard, no browsing report, and no log for anyone to review, because none of that exists. The app rules on each request at the machine and keeps no diary. Your students and your team get a filter, not a supervisor. If you’re shopping for monitoring software, we’re the wrong vendor.
We already run Zscaler or another secure web gateway. Will this collide?
It’s designed not to. The Focusing App is a local proxy on the machine itself. It rules on requests before they leave the device, then hands them on to whatever gateway or inspection setup you already run, sitting between the layers rather than fighting them. Where your stack inspects traffic, the app can be configured to align with the trust setup you already use, so the two don’t fight over the connection. Bring your stack to the pilot conversation and we’ll verify it against your setup before you commit.
Can content analysis run entirely on our own infrastructure?
For enterprise deployments, yes. By default, classification runs on the machine or in the cloud: the URL and intent are judged first, and where the address alone can’t decide, the content too. Enterprise pilots can route that evaluation to local inference instead: models running inside your network, so content analysis never has to leave your infrastructure. If that’s a requirement, say so in the pilot conversation and we’ll scope it with you.
Is this a VPN?
No. A VPN routes your traffic through someone else’s servers. The Focusing App is a local filter, a proxy that runs on your machine. Pages you’re allowed to visit load directly, the normal way. Nothing detours through us. What leaves is only what the ruling needs: the URL, your intent, and, where the address alone can’t decide, the content being judged.
Will it slow my browsing down?
No. The checks are placed where you can’t feel them. The URL is ruled on in the gap between your click and the page starting to load. Where the content itself needs judging, one video against the next, that happens asynchronously, alongside the load rather than in front of it. On-intent browsing feels like browsing. The only thing designed to be slow here is the doomscroll.
Who’s behind this, and whose laws apply?
Deeptegrity Kft, based in Budapest. The address matters: we’re under EU jurisdiction, so GDPR applies to us by law. Questions a DPO would ask get answered by a human, at hello@focusing.app.
Download today. Start on the always-free tier.
Desktop only: macOS & Windows. That’s where the distractions live.
On your phone? Send the link to your desktop.
This runs on your Mac or PC, not your phone.