Everything / Learning and lists
Learning and lists Reviving
On TutorHero's Everything Index, Learning and lists is reviving on GitHub: 1.94 of every 10,000 new public repos over the last three months (1.9k a month), +205% vs a year ago and 1.95x its level when ChatGPT launched. The 12-month forecast says rising (+42%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.54x).
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 its core tags 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: Learning and lists is reviving, +205% share of new GitHub repos vs a year ago.
- Start by reading rohitg00/ai-engineering-from-scratch (+10.9k stars in 3 months) and VoltAgent/awesome-design-md (+6.9k stars in 3 months).
- People to follow: 小弟调调, Fengda Huang, Kamran Ahmed.
- Jev for someone who wants to contribute or get hired: Commit this year (2.6 of 4).
- Getting crowded: new repos +205% but attention -49%, so each new project competes harder for stars.
- 8.80 new stars per new repo over 3 months, vs 8.50 for the typical trend: about average demand per project.
- The 12-month forecast for its share: +42% (Rising).
- Talk and building in step: Hacker News -39% vs new repos +205% in a year, close to the typical trend.
- Jev for a builder: Test small (2.4 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 0.78x today's share by the end of 2032.
- Attention: 2.69% of new stars on the repos we track, -49% in a year.
- Hacker News: 9 stories a month, -39% share in a year.
- Jev for an investor: Test small (2.5 of 4).
- Not investment advice: this measures what people build on GitHub, not any company.
- Most-starred tools here lately: rohitg00/ai-engineering-from-scratch (vouched), VoltAgent/awesome-design-md (vouched).
- The field is reviving, 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
小弟调调Hi, I'm Kenny, Fullstack developer from Suzhou, China.Influence 92
Fengda HuangI'm digging holes.Influence 91
Kamran AhmedI love building things 🧑💻Influence 90
AvelinoCTO at @buserbrasil, open source engineerInfluence 83
Fatih Kadir AkınBuilding prompts.chat and leading agentic experience at Automattic.Influence 78
ᴊᴏᴇ ᴄʜᴇɴ𝗟𝗶𝗳𝗲 𝗶𝘀 𝗺𝗮𝗴𝗶𝗰.
𝓒𝓸𝓭𝓲𝓷𝓰 𝓲𝓼 𝓪𝓻𝓽.Influence 78
laurenSoftware engineer at xAI and React compiler core team.Influence 78
Alex Chi Zbuilding database systems @databricks, previously @cmu-db; a bubble tea every day makes me happy right awayInfluence 78Trends inside
Questions
Is Learning and lists growing on GitHub?
Yes. Its share of all new public GitHub repos is +205% vs a year ago and +51% over the last three months (Sep 2026). Phase: Reviving.
How many new Learning and lists repos are created each month?
About 1.9k new public repos a month carry its core tags (three-month average to Sep 2026), or 1.94 of every 10,000 new repos.
What will Learning and lists 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.
Is Learning and lists more talked about than built?
Talk and building in step. Over the year its share of Hacker News stories moved -39% while its share of new GitHub repos moved +205%. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: about 1/1.4 of 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.