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Everything / Browser and automation / Computer use

Trend in Browser and automation · tag computer-use · through Sep 2026

Computer use Emerging

On TutorHero's Everything Index, Computer use is emerging on GitHub: 0.26 of every 10,000 new public repos over the last three months (264 a month), 14x vs a year ago. The 12-month forecast says rising (+113%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.54x).

Per 10k new repos0.26264 new repos a month
Year over year14x3 months: +97%
Next 12 months+113%80% band +80% to 7x
2032, median of history0.54x90% of past cases: 0.01x to 2.5x
Attention1.18%of new stars, +44% in a year
Jev 2032 call1.84xTop quarter of similar lines
Share on X

Since 2019, and the range to 2032

0.010.030.10.31320192020202120222023202420252026202720282029203020312032Range to 2032 (history of similar lines)Stable Diffusion releasedChatGPT launchesGPT-4Llama 2, open weightsModel Context ProtocolDeepSeek-R1Claude Code previewHigh 0.65Jev 0.48Median 0.14Low 0.00

New repos per 10,000 (3-month average, log scale)12-month forecastRange to 2032: middle half and 90% of past similar linesJev's 2032 call

The range is not a forecast of this line: it is what GitHub lines in the same state (more than doubled its share of new repos in a year) did 1 to 5 years later, 2019 to 2026, applied to today's level. Past 5 years it is stretched, not measured. Checked out of time (learned before 2022, scored after), 71% of outcomes landed inside the 90% range, so read it as wide. Open it in the Everything chart.

Week by week

Last week95 new reposOct 12 to Oct 18 · -48% against the field
Last 4 weeks▼ -6%421 new repos, against the 4 weeks before and the field
AprMayJunJulAugSepOct

New public repos with the computer-use tag each week (Monday to Sunday, UTC). The outlined bars, last week included, are still filling in, as tags are often added days after a repo is created, so their height will grow a little. "Against the field" divides the change by what the typical tag did, so a wave that lifts every tag does not count. Hover for the numbers.

Built vs talked about

Hacker News11 stories a month4x share of HN vs a year ago · titles with "computer use"
Talk vs buildingTalk and building in stepHacker News 4x vs GitHub new repos 14x over the year, compared with the typical trend

Each line is its own share (of all new GitHub repos, all Hacker News stories, all English Wikipedia views, all new stars on the repos we track), shown as a share of its own peak, so the timing and shape compare even though the units differ. Hover for the counts. Tap a name to hide or show a line.

What it means

Studentslearning it, contributing, getting hiredCommit this year
  • Worth learning now: Computer use is emerging, 14x share of new GitHub repos vs a year ago.
  • Start by reading arcboxlabs/arcbox (+9.3k stars in 3 months) and trycua/cua (+5.6k stars in 3 months).
  • People to follow: Bytedance Inc., Web Infra, Milind Soni.
  • Jev for someone who wants to contribute or get hired: Commit this year (3.3 of 4).
Founders and builderswhat to build nextCommit this year
  • Builders and attention both rising: new repos 14x, attention +44% in a year.
  • 36.6 new stars per new repo over 3 months, vs 8.50 for the typical trend: more demand per project than most fields.
  • The 12-month forecast for its share: +113% (Rising).
  • Talk and building in step: Hacker News 4x vs new repos 14x in a year, close to the typical trend.
  • Jev for a builder: Commit this year (3.0 of 4).
Investorswhich fields deserve research timeCommit this year
  • History: of past GitHub lines that more than doubled its share of new repos in a year, 61% had a smaller share 3 to 5 years later and 8% at least doubled.
  • Jev's 2032 call: top quarter of similar lines (unsure), which on the base rates means about 1.84x today's share by the end of 2032.
  • Attention: 1.18% of new stars on the repos we track, +44% in a year.
  • Hacker News: 11 stories a month, 4x share in a year.
  • Jev for an investor: Commit this year (3.0 of 4).
  • Not investment advice: this measures what people build on GitHub, not any company.
Developers choosing toolswhich tools to adoptCommit this year
  • Most-starred tools here lately: arcboxlabs/arcbox, trycua/cua (vouched).
  • The field is emerging, so expect new tools and fast changes; pin versions.
  • Jev for a developer picking tools: Commit this year (2.7 of 4).

Repos carrying it now

arcboxlabs/arcboxRun AI agents on real and isolated machines — own kernel, filesystem, and network — with <100ms boot. Local first, OCI compatible, pure Rust+9.3k stars in 3 months
trycua/cuaScale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.+5.6k stars in 3 months · vouched
browser-use/browser-useOpen-source Python library for AI browser agents, plus Browser Use Cloud: stealth browsers and a hosted agent API.+5.3k stars in 3 months · vouchedmilind-soni/OpenMausBotOpen-source Grok Bot alternative with a virtual machine that bots can use+1.9k stars in 3 months · vouchedMintplex-Labs/anything-llmStop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience +1.5k stars in 3 months · vouched
lahfir/agent-desktopAgent Desktop gives any agent reliable computer use on the desktop. Built with Rust, it sees any app's real UI structure through OS accessib+719 stars in 3 months

People building it

Bytedance Inc.Open-source AI agents and developer tools.Influence 81Web InfraBuilding open web development tools and frameworks.Influence 51Milind SoniOpen-source computer-use agents and streaming action languages.Influence 56Anil Chandra Naidu MatchaBuilding open-source alternatives to paid AI and SaaS tools.Influence 78E2B | Cloud for AI AgentsOpen-source secure environments for enterprise-grade AI agents.Influence 70Amont LabsPractical open-source software on emerging tech.Influence 6jmrlComputational neuroscience and robotics research, plus AI development tools.Influence 19OmniJevOpen research on Jev-like decision modelInfluence 3

More in Browser and automation

Web scrapingGrowing+283% in a year · 1.5k new repos a monthn8nCooling+212% in a year · 1.3k new repos a monthWorkflow automationEmerging6x in a year · 1.1k new repos a monthBrowser automationEmerging11x in a year · 638 new repos a monthNo-codeCooling4x in a year · 259 new repos a monthBrowser useEmerging+165% in a year · 34 new repos a month

Questions

Is Computer use growing on GitHub?

Yes. Its share of all new public GitHub repos is 14x vs a year ago and +97% over the last three months (Sep 2026). Phase: Emerging.

How many new Computer use repos are created each month?

About 264 new public repos a month carry the computer-use tag (three-month average to Sep 2026), or 0.26 of every 10,000 new repos.

What will Computer use look like in 2032?

Nobody knows, and we say how much. Of past GitHub lines that more than doubled its share of new repos in a year, the middle half had between 0.14x and 1.27x of their share 3 to 5 years later, and 61% ended smaller. Jev's call: Top quarter of similar lines.

Is Computer use more talked about than built?

Talk and building in step. Over the year its share of Hacker News stories moved 4x while its share of new GitHub repos moved 14x. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: 1.1 times the talk per builder of the median trend.

Not investment advice. Measurements of what people build and star on GitHub, a statistical forecast, base rates and a model's reading of them. Nothing here is about any company's revenue, valuation or stock.