THTutorHero

Everything / Prompt libraries / System prompts

Trend in Prompt libraries · tag system-prompts · through Sep 2026

System prompts Steady

On TutorHero's Everything Index, System prompts is steady on GitHub: 0.03 of every 10,000 new public repos over the last three months (27 a month), +181% vs a year ago.

Per 10k new repos0.0327 new repos a month
Year over year+181%3 months: -18%
Next 12 monthsn/anot enough history
2032, median of historyn/a
Attention0.74%of new stars, -61% in a year
Jev 2032 callnot read yetonly top trends are sent to Jev
Share on X

Since 2019, and the range to 2032

0.010.0320192020202120222023202420252026202720282029203020312032Range to 2032 (history of similar lines)Stable Diffusion releasedChatGPT launchesGPT-4Llama 2, open weightsModel Context ProtocolDeepSeek-R1Claude Code preview

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

The range is not a forecast of this line: it is what GitHub lines in the same state (n/a) 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 week4 new reposOct 12 to Oct 18 · -57% against the field
Last 4 weeks▼ -54%17 new repos, against the 4 weeks before and the field
AprMayJunJulAugSepOct

New public repos with the system-prompts 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. Fewer than 40 new repos in 4 weeks: read the change with care.

Built vs talked about

Hacker News6 stories a month-18% share of HN vs a year ago · titles with "system prompt"
Talk vs buildingTalk and building in stepHacker News -18% vs GitHub new repos +181% 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 hired
  • A steady field: System prompts moved +181% in a year, so skills here keep their value without a rush.
  • Start by reading asgeirtj/system_prompts_leaks (+5.3k stars in 3 months) and elder-plinius/CL4R1T4S (+3.7k stars in 3 months).
  • People to follow: Lucas Valbuena, Piebald, Leon Lin.
Founders and builderswhat to build next
  • Getting crowded: new repos +181% but attention -61%, so each new project competes harder for stars.
  • Talk and building in step: Hacker News -18% vs new repos +181% in a year, close to the typical trend.
Investorswhich fields deserve research time
  • Attention: 0.74% of new stars on the repos we track, -61% in a year.
  • Hacker News: 6 stories a month, -18% share in a year.
  • Not investment advice: this measures what people build on GitHub, not any company.
Developers choosing toolswhich tools to adopt
  • Most-starred tools here lately: asgeirtj/system_prompts_leaks (vouched), elder-plinius/CL4R1T4S (organic stars).
  • A settled field: favour tools with a long record.

Repos carrying it now

People building it

More in Prompt libraries

Questions

Is System prompts growing on GitHub?

Yes. Its share of all new public GitHub repos is +181% vs a year ago and -18% over the last three months (Sep 2026). Phase: Steady.

How many new System prompts repos are created each month?

About 27 new public repos a month carry the system-prompts tag (three-month average to Sep 2026), or 0.03 of every 10,000 new repos.

What will System prompts look like in 2032?

Not enough history for a range yet.

Is System prompts more talked about than built?

Talk and building in step. Over the year its share of Hacker News stories moved -18% while its share of new GitHub repos moved +181%. 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.