THTutorHero

Everything / Models and research / OpenAI

Trend in Models and research · tag openai · through Sep 2026

OpenAI Steady

On TutorHero's Everything Index, OpenAI is steady on GitHub: 3.24 of every 10,000 new public repos over the last three months (3.0k a month), +102% vs a year ago. The 12-month forecast says edging up (+25%). 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 repos3.243.0k new repos a month
Year over year+102%3 months: -12%
Next 12 months+25%80% band +5% to 4x
2032, median of history0.54x90% of past cases: 0.01x to 2.5x
Attention11.6%of new stars, -6% in a year
Jev 2032 callnot read yetonly top trends are sent to Jev
Share on X

Since 2019, and the range to 2032

0.030.10.313103020192020202120222023202420252026202720282029203020312032Range to 2032 (history of similar lines)Stable Diffusion releasedChatGPT launchesGPT-4Llama 2, open weightsModel Context ProtocolDeepSeek-R1Claude Code previewHigh 8.03Median 1.74Low 0.03

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 (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 week1.5k new reposOct 12 to Oct 18 · +44% against the field
Last 4 weeks▼ -12%3.3k new repos, against the 4 weeks before and the field
Wikipedia, 7 days55.2k views-10% 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 the openai 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 News354 stories a month+77% share of HN vs a year ago · titles with "openai"
Wikipedia223k views a month-16% share of Wikipedia vs a year ago · OpenAI
Talk vs buildingTalked about more than builtHacker News +77% vs GitHub new repos +102% 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: OpenAI moved +102% in a year, so skills here keep their value without a rush.
  • Start by reading diegosouzapw/OmniRoute (+13.0k stars in 3 months) and NousResearch/hermes-agent (+12.3k stars in 3 months).
  • People to follow: Microsoft, AutoGPT, LangGenius.
Founders and builderswhat to build next
  • Getting crowded: new repos +102% but attention -6%, so each new project competes harder for stars.
  • 21.9 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: +25% (Edging up).
  • Talked about more than built: Hacker News +77% vs new repos +102% in a year, more talk per builder than the typical trend, so demand for builders may run ahead of supply.
Investorswhich fields deserve research time
  • 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.
  • Attention: 11.6% of new stars on the repos we track, -6% in a year.
  • Hacker News: 354 stories a month, +77% share in a year; Wikipedia 223k views a month, -16%.
  • Not investment advice: this measures what people build on GitHub, not any company.
Developers choosing toolswhich tools to adopt
  • Most-starred tools here lately: diegosouzapw/OmniRoute (vouched), NousResearch/hermes-agent (vouched).
  • A settled field: favour tools with a long record.

Repos carrying it now

diegosouzapw/OmniRouteNever stop coding. Free MIT AI gateway: one endpoint, 375 providers (150+ free), 1,400+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, Min+13.0k stars in 3 months · vouchedNousResearch/hermes-agentThe agent that grows with you+12.3k stars in 3 months · vouchedmicrosoft/markitdownPython tool for converting files and office documents to Markdown.+11.0k stars in 3 months · vouchedTencent/WeKnoraOpen-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.+10.7k stars in 3 months · vouchedmiuuyy/codex-chatgpt-webUse ChatGPT Web (including Pro) as a native model in Codex — with context, tools, streaming and images, without using Codex quota.+9.8k stars in 3 months · vouchedcalesthio/OpenMontageWorld's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge f+7.3k stars in 3 months · vouched

People building it

MicrosoftOpen source projects and samples from Microsoft.Influence 96AutoGPTBuilding AutoGPT, accessible AI tools and plugins for everyone.Influence 66LangGeniusBuilding GPT-based applications with LLMOps platform Dify.Influence 86LangChainBuilding agent engineering platforms and resilient agents.Influence 95LobeHubAI agent team orchestration and open-source UI tools.Influence 76OpenAIAI research and developer tools.Influence 92Berri AILLM API gateway and agent toolsInfluence 84Router-For.MEWrapping AI CLIs into compatible API services.Influence 83

More in Models and research

Machine learningSteady+72% in a year · 9.9k new repos a monthClaudeSteady11x in a year · 6.8k new repos a monthPyTorchGrowing+133% in a year · 3.0k new repos a monthDeep learningCooling+20% in a year · 2.6k new repos a monthGeminiGrowing+128% in a year · 2.4k new repos a monthDeepSeekEmerging17x in a year · 2.3k new repos a monthChatGPTAccelerating+257% in a year · 1.3k new repos a monthQwenEmerging11x in a year · 951 new repos a monthTensorFlowFaded-6% in a year · 732 new repos a monthTransformersPeaking+69% in a year · 685 new repos a monthLoRAGrowing+233% in a year · 514 new repos a monthFine-tuningGrowing+79% in a year · 386 new repos a monthKerasFaded+11% in a year · 374 new repos a monthLlamaCooling+167% in a year · 296 new repos a monthLLM trainingCooling-38% in a year · 29 new repos a month

Questions

Is OpenAI growing on GitHub?

Yes. Its share of all new public GitHub repos is +102% vs a year ago and -12% over the last three months (Sep 2026). Phase: Steady.

How many new OpenAI repos are created each month?

About 3.0k new public repos a month carry the openai tag (three-month average to Sep 2026), or 3.24 of every 10,000 new repos.

What will OpenAI 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.

Is OpenAI more talked about than built?

Talked about more than built. Over the year its share of Hacker News stories moved +77% while its share of new GitHub repos moved +102%. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: 3.2 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.