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AI tutors Emerging
On TutorHero's Everything Index, AI tutors is emerging on GitHub: 0.09 of every 10,000 new public repos over the last three months (90 a month), 8x vs a year ago. The 12-month forecast says rising (+89%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.53x).
Since 2019, and the range to 2032
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
New public repos with the ai-tutor 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
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
- Worth learning now: AI tutors is emerging, 8x share of new GitHub repos vs a year ago.
- Start by reading HKUDS/DeepTutor (+2.5k stars in 3 months) and Miaotofu01/Study-Mate (+480 stars in 3 months).
- People to follow: ✨Data Intelligence Lab@HKU✨.
- Jev for someone who wants to contribute or get hired: Commit this year (2.5 of 4).
- Builders and attention both rising: new repos 8x, attention 2685x in a year.
- 11.5 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: +89% (Rising).
- Jev for a builder: Test small (2.3 of 4).
- 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: better than most similar lines (unsure), which on the base rates means about 0.79x today's share by the end of 2032.
- Attention: 0.23% of new stars on the repos we track, 2685x in a year.
- Hacker News: 2 stories a month, +91% share in a year.
- Jev for an investor: Test small (2.4 of 4).
- Not investment advice: this measures what people build on GitHub, not any company.
- Most-starred tools here lately: HKUDS/DeepTutor (vouched), Miaotofu01/Study-Mate.
- The field is emerging, so expect new tools and fast changes; pin versions.
- Jev for a developer picking tools: Test small (2.2 of 4).
Repos carrying it now
People building it
✨Data Intelligence Lab@HKU✨AI agents, RAG frameworks, and tutoring systems.Influence 85More in Learning and lists
Questions
Is AI tutors growing on GitHub?
Yes. Its share of all new public GitHub repos is 8x vs a year ago and +25% over the last three months (Sep 2026). Phase: Emerging.
How many new AI tutors repos are created each month?
About 90 new public repos a month carry the ai-tutor tag (three-month average to Sep 2026), or 0.09 of every 10,000 new repos.
What will AI tutors 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: Better than most similar lines.
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.