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Everything / Data and databases

Megatrend · 5 trends inside · through Sep 2026

Data and databases Growing

On TutorHero's Everything Index, Data and databases is growing on GitHub: 11.1 of every 10,000 new public repos over the last three months (10.6k a month), +174% vs a year ago and 3.5x its level when ChatGPT launched. The 12-month forecast says rising (+37%). 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 repos11.110.6k new repos a month
Year over year+174%3 months: +23%
Next 12 months+37%80% band +16% to 4x
2032, median of history0.54x90% of past cases: 0.01x to 2.5x
Attention1.90%of new stars, -40% in a year
Jev 2032 call0.78xBetter than most similar lines
Share on X

Since 2019, and the range to 2032

0.10.313103010020192020202120222023202420252026202720282029203020312032Range to 2032 (history of similar lines)Stable Diffusion releasedChatGPT launchesGPT-4Llama 2, open weightsModel Context ProtocolDeepSeek-R1Claude Code previewHigh 27.6Jev 8.74Median 5.98Low 0.12

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 week2.8k new reposOct 12 to Oct 18 · -37% against the field
Last 4 weeks▼ -19%11.0k new repos, against the 4 weeks before and the field
Wikipedia, 7 days7.1k views-8% against the 4 weeks before, all of Wikipedia the same way
AprMayJunJulAugSepOct

Wikipedia views a day, last 8 weeks

Aug 28Sep 4Sep 11Sep 18Sep 25Oct 2Oct 9Oct 16

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

Hacker News95 stories a month+39% share of HN vs a year ago · titles with "data engineering", "duckdb", "postgres"
Wikipedia34.8k views a month+4% share of Wikipedia vs a year ago · Data engineering, DuckDB, PostgreSQL
Talk vs buildingTalked about more than builtHacker News +39% vs GitHub new repos +174% 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: Data and databases is growing, +174% share of new GitHub repos vs a year ago.
  • Start by reading cathrynlavery/diagram-design (+14.2k stars in 3 months) and deeplethe/utopia (+12.1k stars in 3 months).
  • People to follow: Kent C. Dodds, Ben Awad, mattn.
  • Jev for someone who wants to contribute or get hired: Commit this year (3.0 of 4).
Founders and builderswhat to build nextCommit this year
  • Getting crowded: new repos +174% but attention -40%, so each new project competes harder for stars.
  • 1.20 new stars per new repo over 3 months, vs 8.50 for the typical trend: more supply than demand right now.
  • The 12-month forecast for its share: +37% (Rising).
  • Talked about more than built: Hacker News +39% vs new repos +174% in a year, more talk per builder than the typical trend, so demand for builders may run ahead of supply.
  • Jev for a builder: Commit this year (2.8 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: better than most similar lines (unsure), which on the base rates means about 0.78x today's share by the end of 2032.
  • Attention: 1.90% of new stars on the repos we track, -40% in a year.
  • Hacker News: 95 stories a month, +39% share in a year; Wikipedia 34.8k views a month, +4%.
  • Jev for an investor: Commit this year (2.9 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: cathrynlavery/diagram-design (vouched), deeplethe/utopia (vouched).
  • The field is growing, so expect new tools and fast changes; pin versions.
  • Jev for a developer picking tools: Commit this year (2.6 of 4).

Repos carrying it now

People building it

Trends inside

Questions

Is Data and databases growing on GitHub?

Yes. Its share of all new public GitHub repos is +174% vs a year ago and +23% over the last three months (Sep 2026). Phase: Growing.

How many new Data and databases repos are created each month?

About 10.6k new public repos a month carry its core tags (three-month average to Sep 2026), or 11.1 of every 10,000 new repos.

What will Data and databases 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 Data and databases more talked about than built?

Talked about more than built. Over the year its share of Hacker News stories moved +39% while its share of new GitHub repos moved +174%. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: 1.8 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.